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The rapid increase in chronic non-communicable diseases (NCDs) poses a major challenge to already strained health systems in sub-Saharan Africa. This study investigates the factors associated with seeking and receiving NCD services in Tanzania, using a household survey and client exit interview data from Kilombero and Same districts. Both districts are predominantly rural, with one semi-urban area called Ifakara town and Same town. Of the 784 household survey respondents, 317 (40.4%), 37 (4.7%), and 20 (2.5%) were diagnosed with hypertension, diabetes mellitus, and other NCDs, respectively, of whom 69% had sought care in the past six months. After controlling for covariates, those enrolled in the National Health Insurance Fund (NHIF) and those who received a user fees waiver were more likely to use health services. However, even when NCD patients managed to access the care they needed, they were likely to receive incomplete services. The main reason for not receiving all services at the health facility visited on the day of the survey was drug stock-outs. Among health care users, those registered with the improved Community Health Funds (iCHF) were less likely to receive all prescribed services at the health facility visited than uninsured patients. The findings of this study highlight the need to strengthen both primary care and social health protection systems to improve access to needed care for NCD patients., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Tani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The purpose of this study was to investigate socioeconomic inequalities in diabetes prevalence, non-awareness, non-treatment, and non-control among South Korean adults in 2021. This cross-sectional study used data from the 2021 Korean National Health and Nutrition Examination Survey. Relative concentration indices (RCIs) and relative concentration curves stratified by sex and age were used to investigate socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes. The prevalence, non-awareness, lack of treatment, and non-control rates in adults aged 30 years and older in 2021 were 15.9%, 29.5%, 33.3%, and 76.1%, respectively. Diabetes was more prevalent in participants under the age of 65 years than those aged 65 years and older for both men (RCI: -0.081, RCI: -0.158, respectively) and women (RCI: -0.203, RCI: -0.292, respectively). The larger the absolute value of the RCI in non-awareness and non-treatment of diabetes in women, the greater the level of socioeconomic inequalities (RCI: 0.182, RCI: 0.154). Socioeconomic inequalities existed in the prevalence of diabetes among both men and women aged under 65 years. In women, socioeconomic inequalities of non-awareness and non-treatment of diabetes were greater than those in men. Thus, preventive care and monitoring are required, particularly among women and individuals under the age of 65 years., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: This systematic review and meta-analysis aimed to evaluate the prevalence of frailty and pre-frailty in older adults with diabetes; and to identify the risk factors associated with frailty in this population., Design: Systematic review and meta-analysis., Participants: 24,332 people aged 60 years and older with diabetes., Methods: Six databases were searched (PubMed, Embase, the Cochrane Library, Web of Science, China Knowledge Resource Integrated Database, and Chinese Biomedical Database) up to 15 January 2024. Random effects models were used in instances of significant heterogeneity. Subgroup analysis and meta-regression were conducted to identify the potential source of heterogeneity. The Agency for Healthcare Research and Quality (AHRQ) and the Newcastle-Ottawa Scale (NOS) were applied to assess the quality of included studies., Results: 3,195 abstracts were screened, and 39 full-text studies were included. In 39 studies with 24,332 older people with diabetes, the pooled prevalence of frailty among older adults with diabetes was 30.0% (95% CI: 23.6%-36.7%). Among the twenty-one studies involving 7,922 older people with diabetes, the pooled prevalence of pre-frailty was 45.1% (95% CI: 38.5%-51.8%). The following risk factors were associated with frailty among older adults with diabetes: older age (OR = 1.08, 95% CI: 1.04-1.13, p<0.05), high HbA1c (OR = 2.14, 95% CI: 1.30-3.50, p<0.001), and less exercise (OR = 3.11, 95% CI: 1.36-7.12, p<0.001)., Conclusions: This suggests that clinical care providers should be vigilant in identifying frailty and risk factors of frailty while screening for and intervening in older adults with diabetes. However, there are not enough studies to identify comprehensive risk factors of frailty in older adults with diabetes., Trial Registration: PROSPERO registration number: CRD42023470933., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Diabetes mellitus (DM) is a significant public health concern, particularly in the elderly population. Absolute handgrip strength (HGS) serves to quantify muscle strength. It is recommended that the risk of low muscle strength and increased body mass index be concurrently evaluated using relative HGS. There are currently insufficient evidence regarding the relationship between relative HGS and DM in the elderly Korean population. Therefore, the association between relative HGS and the development of DM in Korean elderly was investigated., Methods: Data from the Korean Longitudinal Study of Ageing were used to determine the odds ratio (OR) between relative HGS and DM during the follow-up period from 2006-2020 among Korean men and women aged ≥65 years without DM when they first participated in this survey. Analysis was conducted using the Generalized Estimating Equation method. Trend analysis was performed for DM development based on relative HGS., Results: Among elderly males, higher relative HGS groups had reduced odds of developing DM (Middle tertile: OR 0.87, 95% CI 0.61-1.23, p = 0.419.) (Upper tertile: OR 0.82, 95% CI 0.56-1.18, p = 0.281.) Among elderly females, the reductions were similar. (Middle tertile: OR 0.82, 95% CI 0.66-1.03, p = 0.087.) (Upper tertile: OR 0.79, 95% CI 0.50-1.25, p = 0.306.) However, these differences were not statistically significant. Significant predictors of new-onset DM included age, BMI (overweight/obese), household income, alcohol consumption, hypertension, and chronic liver disease. Trend tests indicated a substantial decrease in the OR as the relative HGS increased for male and total groups (p for trend < 0.05)., Conclusion: Relative HGS did not achieve statistical significance. Our findings indicate that BMI, particularly overweight and obesity, significantly predicts new-onset DM. However, trend tests indicated a substantial decrease in the OR as the relative HGS increased for male and total groups (p for trend < 0.05), even after adjusting for BMI categories. Despite the lack of statistical significance in some cases, the trend suggests that promoting resistance exercises to enhance HGS could be beneficial in DM prevention. Comprehensive DM prevention strategies should include managing obesity and chronic conditions for elderly., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Sohn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: The objective of this study is to analyze the death characteristics and burden of disease (BOD) in diabetes mellitus (DM) patients in Weifang from 2010 to 2021. The findings will serve as a foundational data source and theoretical framework for public health administrative departments in the formulation of DM-related policies., Methods: The annual percent change (APC) and average annual percent change (AAPC) of the disability-adjusted life years (DALY), years of life lost (YLL), and years lived with disability (YLD) in DM residents from 2010 to 2021 were analyzed using the Joinpoint software to reflect the changing trend of the BOD in DM patients. Additionally, we conducted an analysis of the various causes of death among these patients and compared BOD in diabetic patients with different backgrounds., Results: From 2010 to 2021, the burden of disease, which includes DALY, YL, and YLD, has been increasing among patients with DM in Weifang. It is noteworthy that the burden of disease is particularly pronounced among male patients and those aged 75 or above. Additionally, it is observed that widowed and illiterate DM patients have comparatively longer survival times. Furthermore, among the DM patients who have unfortunately passed away, it has been identified that unspecified DM with ketoacidosis accounts for 10.03% of the deaths as a direct cause of death. In contrast, type 2 diabetes mellitus (T2DM) with kidney complications contributes to 10.23% of the deaths as the fundamental cause of death., Conclusion: The city is faced with a significant challenge of diabetes, which is influenced by factors such as gender, age, cultural background, and marital status. Unspecified diabetes mellitus (DM) with ketoacidosis (10.03%) and T2DM with renal complications (0.23%) are identified as the primary direct and underlying causes of death among diabetic patients, respectively. This study serves as a valuable reference for other regions in terms of diabetes prevention, control, and the management of chronic diseases., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: The intersection of infectious diseases, such as HIV, with chronic conditions like hypertension and diabetes poses a significant challenge in global health. While advancements in antiretroviral therapy have transformed HIV into a manageable chronic condition, a growing number of individuals with HIV now grapple with coexisting non-communicable diseases, impacting their Health-Related Quality of Life (HRQoL). Despite strides in HIV care, there is a notable policy gap that undermines efforts to address HIV-associated co-morbidities, particularly hypertension and diabetes, especially efforts to improve access, early detection, and ultimately HRQoL for individuals with HIV and co-morbidities. This study seeks to explore policy interventions aimed at improving the quality of life of HIV patients with hypertension or diabetes., Methods: The study utilized a qualitative descriptive design to explore the experiences and perspectives of healthcare professionals and support staff regarding policy interventions for managing HIV patients with hypertension and/or diabetes co-morbidities in three regions of Ghana. The research was conducted in the Upper West, Ashanti, and Greater Accra regions among 11 participants, chosen purposively from professions involved in HIV patient care to understand their views on the implementation of policy interventions to HRQoL for individuals with HIV and co-morbidities. In-depth interviews were conducted face-to-face and tape-recorded. Thematic analysis approach was used to analyze the data., Results: The study involved 11 participants from three regions with varied years of experience. Implemented policies that potentially improve the HRQoL for individuals with HIV and co-morbidities involve support groups, home visits, provision of free drugs, and counselling. Barriers to policy implementation included non-adherence to medication, stigma, cost of non-communicable diseases (NCDs) medications, accessibility issues to NCDs services, lack of interest or understanding among implementers, and high staff turnover. Facilitators encompassed in-service training, guidelines in common platforms, knowledge sharing, external resources, regular check-ups, and motivational packages for patients., Conclusion: Individuals with HIV and comorbidities face complex challenges impacting their HRQoL, including emotional and financial dimensions. The study identifies critical policies and barriers, underscoring the need for tailored, patient-centered approaches. Facilitators like in-service training and regular check-ups offer actionable insights for effective policy implementation, emphasizing improved health outcomes for those with comorbid conditions. The study recommends integrated care approach and adherence support programs that address the unique challenges faced by people living with HIV., Competing Interests: The auhtors have declared that no competing interess exist., (Copyright: © 2024 Owusu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: Hajj is among the oldest pilgrimages in the world, there is a limited study that evaluates the epidemiological pattern of Diabetes Mellitus [1] and the medical care required and provided to pilgrims. The present study assessed the prevalence and pattern of DM in Iranian pilgrims from 2012-22., Method: All demographic information, risk factors, and the prevalence of DM were extracted from the database and medical records of the Hajj Pilgrimage Medical Centre, Iranian Red Crescent Society through file reading. Also, to investigate the effect of the risk factors considered in the study, the multiple logistic regression model was used., Results: The present study included data from 469,581 Hajj pilgrims. Most pilgrims were in the age group of 45 to 70 years (73.25%). The prevalence of diabetes in patients over 70 years old was the highest (16.73%). The prevalence of DM was estimated at 14.64% in women and 12.51% in men. The lowest DM prevalence was in Lorestan (7.81%), North Khorasan (9.07%), Sistan and Baluchistan (9.29%), and Hamedan (9.41), respectively. The highest prevalence rate was in Khuzestan (20.12%), Yazd (19.14), and Mazandaran (17.55), respectively. Our analysis reveals that, for instance, with each yearly increase in the age of the pilgrims (assuming other variables remain constant), the odds of having DM increase by 0.04. For the gender, the odds of having DM among women is 0.33 higher than among men, when the other variable is constant., Conclusions: The study results show a significant difference in the prevalence of diabetes in age, gender, and distribution in different provinces. Therefore, appropriate screening, diagnosis, and management by primary care physicians are necessary to prevent adverse health outcomes and reduce the economic burden of mortality and morbidity., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kolivand et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patients. Given this, early intervention is particularly crucial, as it can not only significantly improve the prognosis of patients but also provide valuable reference information for clinical treatment. This study selected the BRFSS (Behavioral Risk Factor Surveillance System) dataset, which is publicly available on the Kaggle platform, as the research object, aiming to provide a scientific basis for the early diagnosis and treatment of diabetes through advanced machine learning techniques. Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model's predictive accuracy. Combined with the better-performing LightGBM model and random forest model, a two-layer Stacking model was constructed. This model not only outperforms single machine learning models in predictive effect but also provides a new idea and method in the field of model integration. (3) Shapley value analysis identified features that have a significant impact on the prediction of diabetes, such as age and body mass index. This analysis not only enhances the transparency of the model but also provides more precise treatment decision support for doctors and patients. In summary, this study has not only improved the accuracy of predicting the risk of diabetes by adopting advanced machine learning techniques and model integration strategies but also provided a powerful tool for the early diagnosis and personalized treatment of diabetes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The uncertainty regarding the correlation between the weight-adjusted waist index (WWI) and diabetes within the National Health and Nutrition Examination Survey (NHANES) necessitates further exploration. As indicators of obesity, the differences in the intensity of association between WWI, body mass index (BMI), and waist circumference (WC) with diabetes are worth exploring. This investigation is undertaken to elucidate the association between WWI and diabetes in the NHANES dataset and to compare the extent to which BMI, WC, and WWI were closely associated with diabetes. Then, choose an obesity index that is more strongly associated with diabetes., Methods: A comprehensive cross-sectional stratified survey of 7,973 participants from the 2017-2020 NHANES was conducted. WWI is an anthropometric measure based on WC and weight. The formula is WWI (cm/√kg) = WC/√weight. The association between WWI and diabetes was investigated using weighted multiple logistic regression, smooth curve fitting, stratified analysis, and interaction testing., Results: The participants' average age was 50.84±17.34 years, and 50.68% of them were female. The detection rate of diabetes was 15.11%. This positive association was particularly notable among non-diabetic patients. For each unit increase in BMI and WC as continuous variables, the likelihood of developing diabetes in the fully adjusted model increased by 5% (OR = 1.05; 95%CI, 1.03-1.07) and 3% (OR = 1.03; 95%CI, 1.02-1.04), respectively, but for each one-unit increase in WWI, the likelihood of developing diabetes increased by 111% (OR = 2.11; 95% CI, 1.68-2.65). Tests of interactions revealed that in various subgroups, the association between diabetes and WWI remained steady., Conclusions: We analyzed 2017-2020 NHANES data to explore the link between WWI and diabetes, finding a consistent positive correlation. The correlation between WWI and diabetes was stronger than that between WC and BMI. WWI seems to offer better potential aid in disease prevention and diagnosis., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Wu, Guo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Importance: Racial and ethnic disparities in chronic disease are a major public health priority., Objective: To determine if the amount of federal grant funding to federally-qualified health centers (FQHCs) was associated with baseline overall prevalence of uncontrolled hypertension and uncontrolled diabetes, as well as prevalence by racial and ethnic subgroup., Design: Cross-sectional multivariate regression analysis of Uniform Data System 2014-2019, which includes clinic-level data from each FQHC regarding demographics, chronic disease control by race and ethnicity, and grant funding., Exposures: Our main exposure were the average values of the prevalence of uncontrolled hypertension and uncontrolled diabetes among the overall population and by racial and ethnic group from 2014-2016., Main Outcomes: Average federal grant funding per patient from 2017-2019, as measured by annual health center funding from the Bureau of Primary Health Care (BPHC) and overall federal grant funding., Results: We analyzed 1,205 FQHCs from 2014-2019; the average BPHC grant per patient across all FQHCs in 2019 was $168 while the average total federal grant was $184 per patient. Increasing shares of total patients with uncontrolled hypertension or uncontrolled diabetes were not associated with increased total federal grant funding in either unadjusted or adjusted analysis. Increased shares of patients who are American Indian or Alaskan Native (AI-AN) with uncontrolled hypertension and diabetes were associated with increasing total federal grant funding in both unadjusted and adjusted analysis (adjusted beta hypertension $168.3, p <0.001; adjusted beta diabetes 59.44, p = 0.02). However, cardiovascular clinical need among other racial and ethnic groups was not significantly associated with grant funding., Conclusions: FQHCs with higher overall rates of uncontrolled hypertension or diabetes do not receive more federal funds, and there is no significant association between federal funding levels and rates of uncontrolled blood pressure or diabetes within most racial and ethnic groups, with the exception of AI-AN populations. To narrow inequities in cardiovascular disease, HRSA should consider more explicitly targeting federal grants to clinics with higher levels of clinical need., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kishore et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: As a result of shared social and structural risk factors, people in households affected by tuberculosis may have an increased risk of chronic conditions; at the same time, tuberculosis screening may be an opportunity for interventions. We sought to describe the prevalence of HIV, nutritional disorders, and noncommunicable diseases (NCDs) among members of tuberculosis-affected households in 3 African countries., Methods and Findings: A part of a multicountry cohort study, we screened for tuberculosis, HIV, nutritional disorders (underweight, anaemia, overweight/obesity), and NCDs (diabetes, hypertension, and chronic lung disease) among members of tuberculosis-affected households aged ≥10 years in Mozambique, Tanzania, and Zimbabwe. We describe the prevalence of these conditions, their co-occurence within individuals (multimorbidity) and household-level clustering. Of 2,109 household contacts recruited, 93% (n = 1,958, from 786 households) had complete data and were included in the analysis. Sixty-two percent were female, median age was 27 years, and 0.7% (n = 14) were diagnosed with co-prevalent tuberculosis. Six percent of household members (n = 120) had previous tuberculosis, 15% (n = 294) were living with HIV, 10% (n = 194) had chronic lung disease, and 18% (n = 347) were anaemic. Nine percent of adults (n = 127) had diabetes by HbA1c criteria, 32% (n = 439) had hypertension. By body mass index criteria, 18% household members (n = 341) were underweight while 29% (n = 549) were overweight or obese. Almost half the household members (n = 658) had at least 1 modifiable tuberculosis risk factor. Sixty-one percent of adults (n = 822) had at least 1 chronic condition, 1 in 4 had multimorbidity. While most people with HIV knew their status and were on treatment, people with NCDs were usually undiagnosed and untreated. Limitations of this study include use of point-of-care HbA1c for definition of diabetes and definition of hypertension based on single-day measurements., Conclusions: Households affected by tuberculosis also face multiple other health challenges. Integrated approaches to tuberculosis screening may represent an opportunity for identification and treatment, including prioritisation of individuals at highest risk for tuberculosis to receive preventive therapy., Competing Interests: EDCTP Grant funding for this research to NH’s institution. DZIF Grant funding for this research to NH’s institution. Funding by Beckman Coulter to NH’s institution., (Copyright: © 2024 Calderwood et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Purpose: To investigate the risk of visual impairment (VI) based on the presence or absence of four diseases: hypertension (HTN), diabetes mellitus (DM), glaucoma, and diabetic retinopathy (DR)., Methods: This retrospective population-based study included 1,000,000 randomly selected participants from the National Health Checkup Program database between 2015 and 2016. VI was defined as a presenting visual acuity ≤ 0.5 in the better eye. The participants were divided into 12 groups according to the presence or absence of disease. Adjusting for age and sex, the risk of VI in each disease group was analyzed and compared with the others., Results: Among the 1,000,000 participants, 88,931 (8.89%) had VI. The odds ratios (ORs) of age, male sex, HTN, DM, glaucoma, and DR for VI were 1.06 (95% CI, 1.05-1.06), 0.52 (95% CI, 0.52-0.53), 1.11 (95% CI, 1.09-1.13), 1.07 (95% CI, 1.05-1.09), 0.92 (95% CI, 0.90-0.74), and 1.29 (95% CI, 1.25-1.34), respectively (all P < 0.001). The group with HTN, DM, glaucoma, and DR had the highest OR of 1.98 (P < 0.001) compared to the healthy group. HTN, DM, and DR were positively correlated with VI in all groups. Glaucoma was positively correlated in the group with DM and DR and in the group with HTN, DM, and DR (ORs 1.18, 1.11, all P < 0.05); however, it demonstrated a negative correlation in the other groups (ORs 0.85-0.93, all P < 0.05)., Conclusion: HTN, DM, and DR, either alone or in combination, increase the risk of VI. Glaucoma also increases the risk when combined with DR; however, it has a negative correlation with VI in the absence of DR. Periodic ophthalmologic examinations for glaucoma, which primarily affects the peripheral visual field and not central visual acuity, might help prevent VI caused by other diseases., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Choi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The burden of diabetes is rising in developing countries, and this is significantly linked to the increasing prevalence of poor glycemic control. The cost of glycated haemoglobin (HbA1c) testing is a barrier to timely glycemic assessments, but newer tests such as glycated albumin may be cheaper and tempting alternatives. Additional research must ascertain if glycated albumin (GA) can act as a viable supplement or alternative to conventional HbA1c measurements for glycemic control in diabetic individuals. GA as a biomarker is an emerging area of interest, particularly for those who display unreliable HbA1c levels or cannot afford the test. This study aims to investigate the prevalence of poor glycemic control in outpatient diabetic patients and the utility of glycated albumin in this population's monitoring of glycemic control. Method. A cross-sectional study of 203 diabetic patients will be conducted at the Dodoma Regional Referral Hospital and Benjamin Mkapa Hospital from August 1st, 2023, to August 31st, 2024. Patients diagnosed with diabetes mellitus for over six months will be screened for eligibility. Informed consent, history, clinical examination, and voluntary blood sample collection will be obtained from all eligible patients. Glycated Albumin levels will be obtained from the same blood samples collected. The glycemic status of all patients will be defined as per HbA1c, and a level of greater than 7% will considered as a poor control. The analysis will be computed with SPSS version 28.0, and a predictor variable, P<0.05, will be regarded as statistically significant, with the utility of GA determined by plotting the area under the ROC curve and the confusion matrix., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Mkumbi, Boaz. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Glycaemic control is essential for improving the quality of life in patients with Diabetes Mellitus (DM). Untreated hyperglycaemia can result in numerous severe and life-threatening complications, such as damage to the eyes, kidneys, nerves, heart, and peripheral vascular system. Appropriate glycaemic control and management is fundamental to prevent and delay diabetes complications. Therefore, this study aims to assess the prevalence of poor glycaemic control, its associated factors, and the prevalence of diabetes-related complications among DM patients., Methods: A cross-sectional study was conducted among 340 DM patients treated at Bugando Medical Center from 4th - 30th April 2023 to determine the prevalence of poor glycaemic control and its predictors. Secondary data from 7952 DM patients treated between April 2022 and 30th May 2023 were used to determine DM-related complications. STATA 15 version …was used for analysis., Results: Out of 340 patients, 66.4% had poor glycaemic control with HbA1c or Random Blood Glucose greater than 7% or 7mmol/L, respectively. Older age, duration of DM of more than 10 years, insulin therapy, and those unaware of glycaemic target goals were factors associated with poor glycaemic control. (AOR: 2.46, 95% CI: 1.28-6.01, P = 0.03), (AOR: 3.15, 95% CI: 2.22-6.55, P = 0.016), (AOR: 3.07, 95% CI: 2.10-6.12, P = 0.022) and (AOR: 3.42, 95% CI: 2.17-5.97, P = 0.001), respectively. Of the 7952 patient records reviewed indicated that 44.5% had complications, of which 25.8% had neurological complications and 55.3% had multiple complications., Conclusion: Two-third of DM patients failed to achieve good glycaemic control and about half of the patient's records reviewed indicated they developed diabetic complications. Thus appropriate interventions are necessary to improve glycaemic control and prevent or control complications among DM patients., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Muchunguzi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: In Canada, one in seven adults has diabetes (i.e., 2.3 million) and the lifetime risk of developing diabetes is approximately 30% by age 65. Although 30% of patients admitted to the hospital have diabetes, data from inpatient hospitalizations for patients with diabetes are lacking, both in Canada and globally., Objective: To validate International Classification of Diseases 10th edition Canadian version (ICD-10-CA) codes for the identification of patients with diabetes, to create a multicenter database of patients with diabetes hospitalized under internal medicine in Ontario, and to determine their baseline characteristics, medication use, and admission characteristics., Study Design: We created a database of people who had diabetes and were hospitalized between 2010 and 2020 at 8 hospitals in Ontario that were part of the General Medicine Inpatient Initiative (GEMINI) hospital data-sharing network. Patients who had diabetes were identified using chart review, based upon either (i) a previous physician diagnosis of diabetes, (ii) a recorded hemoglobin A1c ≥ 6.5% or (iii) outpatient prescription of a diabetes medication preceding the hospitalization. The test characteristics of ICD-10-CA codes for diabetes were evaluated. We compared baseline demographics, medication use and hospitalization details among patients with and without diabetes. For hospitalization details, we collected information on the admission diagnosis, comorbidity index, length of stay, receipt of ICU-level care, and inpatient mortality., Results: There were 384,588 admissions within the total study cohort, of which 118,987 (30.9%) had an ICD-10-CA diagnosis code of diabetes (E10.x, E11.x, E13.x, E14.x). The sensitivity and specificity of ICD-10-CA diagnostic codes was 95.9% and 98.8%, respectively. Most patients with an ICD-10-CA code for diabetes had a code for type 2 diabetes (93.9%) and a code for type 1 diabetes was rare (6.1%). The mean age was 66.4 years for patients without diabetes and 71.3 years for those with an ICD-10-CA diagnosis code for diabetes. Patients with diabetes had a higher prevalence of hypertension (64% vs. 37.9%), coronary artery disease (28.7% vs. 15.3%), heart failure (24.5% vs. 12.1%) and renal failure (33.8% vs. 17.3%) in comparison to those without diabetes. The most prevalent diabetes medications received in hospital were metformin (43%), DPP4 inhibitors (22.7%) and sulfonylureas (18.8%). The most common reason for admission among patients with diabetes was heart failure (9.0%), and among patients without diabetes was pneumonia (7.8%). Median length of stay was longer for patients with diabetes (5.5 vs. 4.5 days) and in-hospital mortality was similar between groups (6.8% with diabetes vs. 6.5% without diabetes)., Importance: Diabetes is one of the most prevalent chronic medical conditions, affecting roughly one third of all patients hospitalized on an internal medicine ward and is associated with other comorbidities and longer hospital stays. ICD-10-CA codes were highly accurate in identifying patients with diabetes. The development of an inpatient cohort will allow for further study of in-hospital practices and outcomes among patients with diabetes., Competing Interests: MF was a consultant for ProofDx, a start-up company creating a point of care diagnostic test for COVID-19. MF is an advisor for Signal1, a start-up company deploying machine learned models to improve inpatient care. TBS was a steering committee member of the Amgen-financed GALACTIC-HF trial, of the Boehringer Ingelheim financed SHARP3 trial, of “LUX-Dx TRENDS Evaluates Diagnostics Sensors in Heart Failure Patients Receiving Boston Scientific's Investigational ICM System” trial; advisory board: Amgen, CSL Seqirus and GSK; chief investigator of the Sanofi Pasteur financed “NUDGE-FLU”, “DANFLU-1”, and “DANFLU-2” trials; speaker honorarium: Bayer, Novartis, Sanofi Pasteur, GE healthcare and GSK; consultant appointments: Novo Nordisk, IQVIA and Parexel; and research grants: GE Healthcare, AstraZeneca, Novo Nordisk and Sanofi Pasteur. Outside of the submitted work, AV is a part-time employee of Ontario Health and a co-inventor of an AI-based early warning system for patient deterioration that was acquired by the start-up company Signal1. FR is a part-time employee of Ontario Health. The development of the GEMINI data platform has been supported with funding from sources such as the Canadian Cancer Society, the Canadian Frailty Network, the Canadian Institutes of Health Research, the Canadian Medical Protective Agency, Green Shield Canada Foundation, the Natural Sciences and Engineering Research Council of Canada, Ontario Health, the St. Michael’s Hospital Association Innovation Fund, the University of Toronto Department of Medicine, and in-kind support from partner hospitals and the Vector Institute. FR holds a salary award from Canada Research Chairs Program, University of Toronto and the PSI Graham Farquharson Knowledge Translation Fellowship. No funding sources from FR influenced the writing of this manuscript. There are no patents, products in development or marketed products to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors have no reported conflicts of interest., (Copyright: © 2024 Colacci et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The 2019 coronavirus disease (COVID-19) ushered in a period of fear and uncertainty, resulting in structural instability across the globe. Vulnerable individuals, such as patients with diabetes mellitus, are predispose to have adverse effects and complications of COVID-19 when infected. We explored the perception of diabetes mellitus patients during the COVID-19 pandemic and their coping mechanisms at the University College Hospital, Ibadan., Methods: We employed an exploratory qualitative study design to explore diabetes mellitus patients' perceptions and coping mechanisms during the COVID-19 pandemic. A purposive sampling technique was used to recruit 32 participants (2 health professionals and 30 diabetes mellitus patients). In-depth interviews were used to collect the data from the participants. All the recorded audio data were transcribed verbatim and exported to NVivo software for thematic data analyses., Results: Most diabetes mellitus patients were not fearful of the pandemic but were optimistic that it would not affect their health. Mechanisms such as the usage of herbal medicines and adherence to COVID-19 precautionary measures were noticed among patients. The study also revealed that the hospital's coping mechanism during the COVID-19 pandemic include prolonged appointments, limiting the number of patients attended per clinic day, and the provision of telehealth service. Patients in our study utilised negative coping mechanisms such as reduced drug dosages, subscriptions to cheaper drug brands, and reliance on religious institutions rather than a clinic for health instructions., Conclusions: The study has shown that diabetes mellitus patients were not fearful of the COVID-19 pandemic. The utilisation of telehealth, encouragement of daily monitoring of sugar levels, provision of avenues for a medication review, and adherence to the safety protocols were coping mechanisms employed by the health system and diabetes mellitus patients. We recommend that the government and other healthcare stakeholders reinforce the resilience of diabetes mellitus patients by alleviating their health burdens during the pandemic. This could be done by subsidizing the prices of drugs, tests, and consultation fees for patients with diabetes mellitus. Also, more efforts should be made to elevate the health system through the reduction in waiting and appointment times in the diabetes clinic and employing more health personnel in the clinic., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Tunji-Adepoju et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Comorbidity of diabetes mellitus and tuberculosis (TB) is a major public health concern in low- and middle-income countries including Bangladesh. An integrated approach is required for adequate management of diabetes mellitus and TB. The objective of the present study was to investigate the availability and readiness of the TB care centers of Bangladesh toward diabetic patients' management., Methods: The present study was conducted based on existing data obtained from the Bangladesh Health Facility Survey (BHFS) 2017. Data collected from a total of 303 facilities providing TB services were retrieved. The outcome variables of the present study were availability and readiness of the TB health facilities for providing diabetes mellitus service. Readiness was measured for four domains: staff and guidelines, equipment, diagnostic facility and basic medicine. The independent variables were: facility level, management authority and location of the facility. Binary and multiple logistic regression models were constructed for both the outcome variables (availability and readiness) to find out their predictors., Results: Services for diabetes mellitus were available in 68% of the TB facilities while high readiness was present in 36% of the facilities. For domain-specific readiness index, readiness for the domains of staff and guidelines, equipment, diagnostic facility and basic medicine was reported in 46%, 96%, 38% and 25% facilities respectively. In the logistic regression model, availability of diabetes mellitus services was better in primary level (aOR 2.62, 95% CI 1.78-4.77) and secondary level (aOR 3.26, 95% CI 1.82-9.05) facilities than community facilities. Similarly, readiness of diabetes mellitus care was also better in these facilities (aOR 2.55, 95% CI 1.05-4.71 for primary and aOR 2.75, 95% CI 1.80-4.32 for secondary facilities). Besides, private TB facilities had better availability (aOR 2.84, 95% CI 1.75-5.89) and readiness (aOR 2.52, 95% CI 1.32-4.29) for diabetes mellitus care., Conclusion: Availability and readiness for providing diabetes mellitus services in TB care providing facilities in Bangladesh is inadequate., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Rafi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Preventing Atherosclerotic Cardiovascular Diseases (ASCVD) can best be achieved by promoting a healthy lifestyle through improvements in diet, physical activity, and avoidance of tobacco use and exposure to second-hand smoke. The study aimed to determine the association between physical activity as well as obesity and the risk of atherosclerotic cardiovascular diseases among patients with hypertension and diabetes attending Irrua Specialist Teaching Hospital (ISTH), Irrua, Nigeria., Methodology: The research was a descriptive, cross-sectional study of 394 systematically selected consenting patients with hypertension and diabetes presenting to a teaching hospital in Irrua, Edo State, Nigeria. The Cardiovascular risk assessment was determined using the Framingham 10year Risk of General Cardiovascular Disease. Anthropometric assessment, blood pressure and blood glucose were determined. Data was collected with a semi-structured questionnaire and analysed with Stata version 16. Chi square and logistic regression was used to test for association and significance level was set at p = 0.05., Results: The study included 394 participants with a mean age of 54±15.47years. Respondents were mostly females (55.3%), physically inactive (70.3%), overweight (42.4%) and had a high risk (41.8%) of developing CVD in 10 years using Framingham categorisation. There was a significant association between physical activity (P<0.01; OR 2.45; CI: 1.53-3.92), obesity (P<0.01; OR 2.52; CI: 1.64-3.86) and risk of developing CVD., Conclusion: The study found a statistically significant relationship between physical inactivity, obesity, and the risk of atherosclerotic cardiovascular diseases. Increasing physical activity levels need to be a top priority at all levels of healthcare as well as the general population., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Oseni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

This study aimed to investigate the differences in Religiosity (R), Mental Immunity (MI), and Psychological Well-Being (PWB) in patients with diabetes due to gender and age group variables, and to detect the best predictors of PWB in diabetic patients within the Bayesian framework. The study was conducted from May 2022 to February 2023 on a random sample of 186 Saudis diagnosed with diabetes. After obtaining participants' consent, they completed three R, MI, and PWB scales. Bayesian Independent Samples t-test was performed to identify differences, and Bayesian linear regression analysis was used to reveal the best prediction model of PWB. The results of the Bayesian independent samples t-test indicated strong evidence supporting the alternative hypothesis H1, suggesting differences between male and female diabetic patients in R, MI, and PWB, with Bayesian factor values exceeding 10 (8.338×10+23, 1.762×10+25, and 1.866×10+24), and Cohen's δ of (-1.866, -1.934, -1.884). These results indicated that females with diabetes have higher means of R, MI, and PWB compared to males. However, the results also suggested evidence for the null hypothesis H0 of no differences in R, MI, and PWB among diabetic patients due to age group, with Bayesian factor values (0.176, 0.181, and 0.187) less than 1.00 and small Cohen's δ of (-0.034, -0.050, -0.063). Bayesian linear regression analysis detected strong evidence that the model including MI is the best predictive model (BF10 for mental immunity is 1.00 and for the other two models are 0.07 and 4.249×10-16) for the PWB of diabetic patients, however, there is no evidence that the model including R or the interaction between R and MI is the best predictor of PWB for diabetic patients. These findings highlight the need for direct psychological care services for male diabetic patients and the urgent need to enhance IM in diabetic patients to improve their PWB. Furthermore, results recommended that healthcare providers in Saudi Arabia integrate MI interventions into diabetes care programs., Competing Interests: The authors declare that they have no conflict of interest., (Copyright: © 2024 Al Eid et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Several new classes of medications for diabetes have recently become available newer medication classes have been increasing in use. It is unclear how their utilization varied across provinces and how the COVID-19 pandemic may have affected these trends. Our objective was to investigate Canada-wide and province-specific trends in diabetes medication dispensed by drug class over time, while also examining the impact of the COVID-19 pandemic and related restrictions on diabetes medication dispensing. We conducted a repeated cross-sectional analysis study. Data were obtained from IQVIA's CompuScript database for Canada-wide prescription dispensing patterns in primary care from January 2018 to December 2021. Drug classes of interest were biguanides dipeptidyl peptidase 4 inhibitors, sulfonylurea's, insulins, sodium-glucose co-transporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists. We examined trends before and after the onset of the pandemic with special attention to changes during periods of high COVID-19 activity. Most drug classes displayed a stable number of prescriptions each month throughout, except for glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter 2 inhibitors, which demonstrated a consistent pattern of increased dispensing. Sodium-glucose co-transporter inhibitors and glucagon-like peptide-1 receptor agonists exhibited the greatest growth over the examined period, of 7.9% and 5.0% increases, respectively. For sodium-glucose co-transporter 2 inhibitors, Prince Edward Island (4.0%) displayed the greatest growth while Ontario showed the least (2.5%). For glucagon-like peptide-1 receptor analogs, Saskatchewan (11.3%) displayed the greatest growth and Newfoundland the least (4.5%). The pandemic did not impact overall dispensing trends. However, spikes in COVID-19 cases corresponded to changes in dispensing for most drug classes. Important variations across Canada in guideline-recommended medication classes seems to be increasing over time. This is likely due to differing formulary listing and access to drug coverages. If so, future research could explore national formulary harmonization across Canada and health outcomes for patients with diabetes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Riad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Cardiovascular morbidity and mortality are high in people with serious mental illness (SMI). This problem is mediated, at least in part, by metabolic side effects of second-generation antipsychotics (SGAs) and by unhealthy lifestyle behaviors. We asked whether oral glucose tolerance testing (oGTT) or hemoglobin A1c (HbA1c) is superior in identifying people with SMI at high cardiometabolic risk and whether this risk is shaped by mood, cognition, or lifestyle habits., Methods: We evaluated 40 patients with schizophrenia, schizoaffective, or bipolar disorder receiving SGAs by oGTT, HbA1c, comprehensive metabolic and lipid panels, and CRP. Mood was assessed using the Patient Health Questionnaire (PHQ-9), and cognition was assessed using the Saint Louis University Mental Status examination. Diet was assessed using the UK Diabetes and Diet Questionnaire (UKDDQ), and physical activity was assessed using daily step counts., Results: Most patients had prediabetes (preDM) or diabetes mellitus (DM), 72.5% by oGTT, and 52.5% by HbA1c criteria. Pulse rates and insulin resistance indices (Homeostatic Model Assessment of Insulin Resistance, HOMA IR; Matsuda) were significantly different between patients classified as normal or with preDM/DM, using either oGTT or HbA1c criteria. Patients with preDM/DM by HbA1c but not oGTT criteria also had higher waist/hip ratios, triglyceride, and CRP levels (p<0.05). A strong negative correlation was found between average daily step counts and CRP levels (rho = -0.62, p<0.001). Higher UKDDQ scores, or unhealthier diet habits, were associated with higher fasting plasma glucose (rho = 0.28, p = 0.08), triglyceride levels (rho = 0.31, p = 0.05), and insulin resistance (HOMA IR: rho = 0.31, p = 0.06). Higher PHQ-9 scores correlated with lower 2h-oGTT glucose levels (rho = -0.37, p<0.05)., Conclusions: OGTT screening is superior to HbA1c screening in detecting preDM and DM early. Patients identified with preDM/DM by oGTT or HbA1c screening are insulin-resistant and have higher pulse rates. Abdominal obesity, unfavorable lipid profiles, and higher CRP levels were noted in patients screened by HbA1c, but not by oGTT. Low physical activity, low depression scores, and unhealthy diet habits were associated with higher CRP and higher glucose and triglyceride levels, respectively. Future studies should assess the impact of specifically tailored individual lifestyle counseling and medical management interventions in this high-risk population., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Miedlich et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Aims: To evaluate the external validity of Finnish diabetes risk score (FINDRISC) and Latin American FINDRISC (LAFINDRISC) for undiagnosed dysglycemia in hospital health care workers., Methods: We carried out a cross-sectional study on health workers without a prior history of diabetes mellitus (DM). Undiagnosed dysglycemia (prediabetes or diabetes mellitus) was defined using fasting glucose and two-hour oral glucose tolerance test. LAFINDRISC is an adapted version of FINDRISC with different waist circumference cut-off points. We calculated the area under the receptor operational characteristic curve (AUROC) and explored the best cut-off point., Results: We included 549 participants in the analysis. The frequency of undiagnosed dysglycemia was 17.8%. The AUROC of LAFINDRISC and FINDRISC were 71.5% and 69.2%; p = 0.007, respectively. The optimal cut-off for undiagnosed dysglycemiaaccording to Index Youden was ≥ 11 in LAFINDRISC (Sensitivity: 78.6%; Specificity: 51.7%) and ≥12 in FINDRISC (Sensitivity: 70.4%; Specificity: 53.9%)., Conclusion: The discriminative capacity of both questionnaires is good for the diagnosis of dysglycemia in the healthcare personnel of the María Auxiliadora hospital. The LAFINDRISC presented a small statistical difference, nontheless clinically similar, since there was no difference by age or sex. Further studies in the general population are required to validate these results., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Yovera-Aldana et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Screening and treatment of dysglycemia (prediabetes and diabetes) represent significant challenges in advancing the Healthy China initiative. Identifying the crucial factors contributing to dysglycemia in urban-rural areas is essential for the implementation of targeted, precise interventions., Methods: Data for 26,157 adults in Fujian Province, China, were collected using the Social Factors Special Survey Form through a multi-stage random sampling method, wherein 18 variables contributing to dysglycemia were analyzed with logistic regression and the random forest model., Objective: Investigating urban-rural differences and critical factors in dysglycemia prevalence in Fujian, China, with the simultaneous development of separate predictive models for urban and rural areas., Result: The detection rate of dysglycemia among adults was 35.26%, with rates of 34.1% in urban areas and 35.8% in rural areas. Common factors influencing dysglycemia included education, age, BMI, hypertension, and dyslipidemia. For rural residents, higher income (OR = 0.80, 95% CI [0.74, 0.87]), average sleep quality (OR = 0.89, 95% CI [0.80, 0.99]), good sleep quality (OR = 0.89, 95% CI [0.80, 1.00]), and high physical activity (PA) (OR = 0.87, 95% CI [0.79, 0.96]) emerged as protective factors. Conversely, a daily sleep duration over 8 hours (OR = 1.46, 95% CI [1.03, 1.28]) and middle income (OR = 1.12, 95% CI [1.03, 1.22]) were specific risk factors. In urban areas, being male (OR = 1.14, 95% CI [1.02, 1.26]), cohabitation (OR = 1.18, 95% CI [1.02, 1.37]), and central obesity (OR = 1.35, 95% CI [1.19, 1.53]) were identified as unique risk factors. Using logistic regression outcomes, a random forest model was developed to predict dysglycemia, achieving accuracies of 75.35% (rural) and 76.95% (urban) with ROC areas of 0.77 (rural) and 0.75 (urban)., Conclusion: This study identifies key factors affecting dysglycemia in urban and rural Fujian residents, including common factors such as education, age, BMI, hypertension, and dyslipidemia. Notably, rural-specific protective factors are higher income and good sleep quality, while urban-specific risk factors include being male and central obesity. These findings support the development of targeted prevention and intervention strategies for dysglycemia, tailored to the unique characteristics of urban and rural populations., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Risk perception plays important role in motivating preventive health behaviours. The objective of this systematic review was to explore the level of diabetes risk perception among individuals with and without apparent risk for diabetes, and to consider the effect of environmental factors on the level of diabetes risk perception., Methods: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search was carried out through PubMed, Web of Science, and Scopus. Original articles written in English and published between 2013 and 2023 were considered. Study quality was appraised using the Mixed Methods Appraisal Tool. Narrative synthesis was undertaken due to methodological heterogeneity in the included studies., Results: A total of 13 cross-sectional studies, two randomized controlled trials, two cohort studies, two mixed methods studies and one quasi-experiment with a control group were included. An overall low level of diabetes risk perception was reported particularly in those without apparent risk for diabetes. The 20 included studies reported widely varied measures for calculating diabetes risk perception. The influence of environmental factors on the risk perception of diabetes was highlighted., Limitations: The use of study-specific and non-validated measures in the included studies weakens the authors' ability to compare across studies. The role of language and publication bias within this systematic review should be acknowledged as we included only English-language studies published in peer-reviewed journals. Another limitation is the exclusion of dimensions of risk perception such as optimistic bias as search terms., Conclusion: The overall low risk perception of diabetes calls for urgent need of public health interventions to increase the risk perception of diabetes. In the future, researchers should ensure the validity and reliability of the measures being used. The influence of environmental factors on the diabetes risk perception indicates that diabetes preventive interventions targeting environmental factors may be effective in increasing the risk perception of diabetes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Jane Ling et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Both diabetes mellitus (DM) and hypertension (HTN) have been on the rise in recent decades all over the world more remarkably in developing countries like India. We intend to measure the prevalence of DM and HTN in the Indian population and to compare the trends and various correlates of these diseases in NFHS (National Family Health Survey)-4 and 5. Data of NFHS-4 and 5 were accessed from dhs program website. All statistical analyses were done in SAS (version 9.4). Mixed effects survey logistic regression models were used for estimating odds ratio (OR).p-values <0.05 were considered significant .1,637,762 individual case entries were evaluated. Both the diseases showed an increasing trend as per the advancing age in both sexes. The highest prevalence of DM is seen in the age group of 45-49 years (7.8%) in females and > 50 years (11.9%) in males as per NFHS-5. Similarly, the highest prevalence of HTN was seen in the age group of45-49 years (31.2%) in females and > 50 years (41.4%) in males as per NFHS-5. The OR (95% CI) of prevalence of DM, HTN and both the diseases in age group >50 years was 14.46 (13.14-15.7), 16.65 (15.78-17.6), 79.5 (64.76-97.73) respectively when compared to reference age group15-19 years. Highest odds for having both DM, HTN concurrently was in age >50 years with aOR(95% CI) 65.32 (52.26-72.63) in NFHS 4 and 35.57 (97.47-45.53) in NFHS 5.Rise in prevalence of DM, HTN and concurrent presence is noted with an apparent increase in cases., Competing Interests: No conflicting interest., (Copyright: © 2024 Rana et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: There is a growing epidemic of chronic non-communicable diseases in low and middle-income countries, often attributed to urbanization, although there are limited data from marginalized rural populations. This study aimed to estimate prevalence of cardiometabolic diseases and associated risk factors in transitional rural communities., Methods: A cross-sectional study of Montubio adults aged 18-94 years living in agricultural communities in a tropical coastal region of Ecuador. Data were collected by questionnaires and anthropometry, and fasting blood was analyzed for glucose, glycosylated hemoglobin, insulin, and lipid profiles. Population-weighted prevalences of diabetes, hypertension, and metabolic syndrome were estimated. Associations between potential risk factors and outcomes were estimated using multilevel regression techniques adjusted for age and sex., Results: Out of 1,010 adults recruited, 931 were included in the analysis. Weighted prevalences were estimated for diabetes (20.4%, 95% CI 18.3-22.5%), hypertension (35.6%, 95% CI 29.0-42.1%), and metabolic syndrome (54.2%. 95% CI 47.0-61.5%) with higher prevalence observed in women. Hypertension prevalence increased with age while diabetes and metabolic syndrome peaked in the 6th and 7th decades of life, declining thereafter. Adiposity indicators were associated with diabetes, hypertension, and metabolic syndrome., Conclusion: We observed an unexpectedly high prevalence of diabetes, hypertension, and metabolic syndrome in these marginalized agricultural communities. Transitional rural communities are increasingly vulnerable to the development of cardiometabolic risk factors and diseases. There is a need for targeted primary health strategies to reduce the burden of premature disability and death in these communities., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Gualan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The majority of people with long-term, non-communicable medical conditions experience significant psychological anguish. Poor mental health or psychological distress influences low lifestyle decisions that result in obesity, inactivity, and cigarette use as well as poor health literacy and limited access to health promotion activities., Objectives: The study's purpose was to measure the prevalence of psychological distress and it's predictors in patients with chronic non-communicable diseases who were being treated in selected hospitals in the Sidama region of southern Ethiopia in 2022., Methodology: Institutional based cross-sectional study was carried out using a sample of 844 patients receiving medication for either high blood pressure or diabetes mellitus or both between May1 and August 31, 2022. To gauge psychiatric distress, the Amharic translation and Ethiopian validation of the Kessler 6 scale (K-6) was employed. The analysis was done using binary logistic regression and an odds ratio with the corresponding 95% confidence interval was estimated to measure the strength of the association. P value <0.05 was considered to declare the significance., Result: Patients with diabetic mellitus, hypertension or both had a 49.6% prevalence of psychological distress at selected Sidama hospitals. Age, drug side effects, history medical complications following diabetic mellitus/hypertension, and body mass index of the patient were all significantly linked with psychological distress (P<0.05)., Conclusion: According to the results of this study, psychological distress is far more prevalent than it was in past studies in Ethiopia and other African countries. To lessen the problem, all stakeholders must cooperate, but health agencies, policymakers, and NGOs particularly need to put in extra effort. The study also showed a significant association between body mass index, patient age, drug side effects, and history of medical complications following diabetic mellitus /hypertension., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Borie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The COVID-19 pandemic impacted the healthcare and outcomes of individuals with various chronic diseases. However, there is a paucity of data on the impact of the COVID-19 pandemic on diabetes mellitus (DM) in low-resource settings. To address this, we conducted a scoping review to explore the literature published on diabetes-related COVID-19 outcomes and care during the COVID-19 pandemic in countries of sub-Saharan Africa., Methods: We applied our search strategy to PubMed, Web of Science, CINAHL, African Index Medicus, Google Scholar, Cochrane Library, Scopus, Science Direct, ERIC and Embase to obtain relevant articles published from January 2020 to March 2023. Two independent reviewers were involved in screening the retrieved articles. Data from eligible articles were extracted from quantitative, qualitative and mixed-methods studies. Quantitative evidence was summarised using descriptive statistics, while a thematic framework was used to identify and categorise themes from qualitative evidence., Results: We found 42 of the retrieved 360 articles eligible, mainly from South Africa, Ethiopia and Ghana (73.4%). The incidence of DM among COVID-19 cases was 13.7/1,000 person-days observation. COVID-19 was associated with increased odds of death (OR 1.30-9.0, 95% CI), hospitalisation (OR 3.30-3.73: 95% CI), and severity (OR: 1.30-4.05, 95% CI) in persons with DM. Challenges in caring for DM during the pandemic were inadequate patient self-management, difficulties in healthcare access, and inadequate healthcare resources., Conclusion: The COVID-19 pandemic was characterised by a high incidence of DM in persons infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and high COVID-19-associated mortality, severity, and hospitalisation among people persons with DM. The pandemic also created difficulties in DM self-management and worsened the quality of DM care services. Policymakers should devise preventive and management strategies for DM during emerging and re-emerging infectious disease epidemics and outbreaks, given that such occurrences are increasingly frequent in the region., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Sseguya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Diabetes is a chronic disease associated with the potential for blindness, kidney failure, heart attacks, strokes, and lower limb amputations. The global prevalence of diabetes is rising, particularly in the sub-Saharan African (SSA) region, where accessing treatment and antidiabetic drugs is complex, leading to challenges in managing the condition. Intentional and structured therapeutic education has demonstrated its ability to enhance health outcomes in diabetes patients. Given the numerous healthcare deficiencies in sub-Saharan Africa, the authors have reevaluated the role of therapeutic patient education (TPE) in this context., Methods: This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We queried four databases between March 14 and June 30, 2023 and conducted Cochrane's Risk of Bias analysis on the included studies. Subsequently, a qualitative synthesis of the results was performed., Results: The final analysis included thirteen studies. Seven of these, which assessed glycemic control, reported statistically significant results. Additionally, other clinical parameters such as body mass index (BMI), blood pressure, and lipid levels also exhibited some significant improvements. Knowledge substantially increased following the intervention, while attitude, self-care practices, and medication adherence showed no significant improvements. Nurse-led and peer-led intervention programs produced positive outcomes, whereas technology-based intervention methods did not yield favorable results., Conclusion: TPE programs in sub-Saharan Africa have a significant impact on both clinical and non-clinical outcomes in diabetes patients. However, the sustainability of these outcomes remains uncertain. Further research is needed to assess the long-term effects of TPE on diabetes patients., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Iwelomen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: Periodontitis is a highly prevalent complication of diabetes. However, the association between cystic fibrosis-related diabetes (CFRD) and periodontitis has not yet been evaluated. The objective of this study was to assess if: 1) CFRD is associated with periodontitis among adults with CF, and 2) periodontitis prevalence differs by CF and diabetes status., Methods: This was a pilot cross-sectional study of the association between CFRD and periodontitis in adults with cystic fibrosis (CF) (N = 32). Historical non-CF controls (N = 57) from the U.S. National Health and Nutrition Examination Survey (NHANES) dataset were frequency matched to participants with CF on age, sex, diabetes status, and insulin use. We defined periodontitis using the U.S. Centers for Disease Control and Prevention and the American Academy of Periodontology (CDC/AAP) case definition, as the presence of two or more interproximal sites with CAL ≥3 mm and two or more interproximal sites with PD ≥4 mm (not on the same tooth) or one site with PD ≥5 mm. Because NHANES periodontal data were only available for adults ages ≥30 years, our analysis that included non-CF controls focused on this age group (CF N = 19, non-CF N = 57). Based on CF and diabetes status, we formed four groups: CFRD, CF and no diabetes, non-CF with diabetes, and non-CF and no diabetes (healthy). We used the Fisher's exact test for hypotheses testing., Results: There was no association between CFRD and periodontitis for participants with CF ages 22-63 years (CFRD 67% vs. CF no diabetes 53%, P = 0.49), this was also true for those ages ≥30 years (CFRD 78% vs. CF no diabetes 60%, P = 0.63). For the two CF groups, the prevalence of periodontitis was significantly higher than for healthy controls (CFRD 78% vs. healthy 7%, P<0.001; CF no diabetes 60% vs. healthy 7%, P = 0.001) and not significantly different than the prevalence for non-CF controls with diabetes (CFRD 78% vs. non-CF with diabetes 56%, P = 0.43; CF no diabetes 60% vs. non-CF with diabetes 56%, P = 0.99)., Conclusion: Among participants with CF, CFRD was not associated with periodontitis. However, regardless of diabetes status, participants with CF had increased prevalence of periodontitis compared to healthy controls., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Alkhateeb et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters., Methods: Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables., Results: There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs., Conclusions: This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lord, Odoi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background and Aims: Diabetes and/or hypertension are the most common conditions in older people, and also related to higher cardiovascular disease (CVD) incidence and mortality. This study aims to explore the risk of CVD incidence and mortality among older people with diabetes and/or hypertension over a 16 years follow-up period and investigates the role of depression and obesity in these relationships., Methods: 6,855 participants aged 50+ from the English Longitudinal Study of Ageing (ELSA). The main exposure is having diabetes and/or hypertension at baseline (2002/2003) compared to not having, but excluded those with coronary heart disease (CHD) and/or stroke (CVD). Survival models are used for CVD incidence and mortality up to 2018, adjusted for socio-demographic, health, health behaviours, cognitive function, and physical function characteristics., Results: 39.3% of people at baseline had diabetes and/or hypertension. The risk of CVD incidence was 1.7 (95%CI: 1.5; 1.9) higher among people with diabetes and/or hypertension compared to those without and was independent of covariates adjustment. People with diabetes and/or hypertension were also 1.3 (95%CI: 1.1; 1.8) times more likely to die from CVD than those without. We did not find evidence for an elevated risk of CVD incidence and mortality among people with obesity nor among those with depression., Conclusions: In order to effectively reduce the risk of CVD incidence and mortality among older people, treatment as well as management of hypertension and diabetes should be routinely considered for older people with diabetes and/or hypertension., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Zaninotto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: The increased prevalence of visual impairment among diabetes patients has become a major global public health problem. Although numerous primary studies have been conducted to determine the prevalence of visual impairment and its associated factors among diabetes patients in Ethiopia, these studies presented inconsistent findings. Therefore, this review aimed to determine the pooled prevalence of visual impairment and identify associated factors among diabetes patients., Methods: An extensive search of literature was done on PubMed, Google Scholar, and Web of Sciences databases. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to calculate the pooled prevalence of visual impairment., Results: A total of 34 eligible primary studies with a sample size of 11,884 participants were included in the final meta-analysis. The pooled prevalence of visual impairment was 21.73% (95% CI: 18.15, 25.30; I2 = 96.47%; P<0.001). Diabetes mellitus with a duration of diagnosis ≥10 years [AOR = 3.18, 95% CI: 1.85, 5.49], presence of co-morbid hypertension [AOR = 3.26, 95% CI: 1.93, 5.50], poor glycemic control [AOR = 4.30, 95% CI: 3.04, 6.06], age ≥56 years [AOR = 4.13, 95% CI: 2.27, 7.52], family history of diabetes mellitus [AOR = 4.18 (95% CI: 2.61, 6.69], obesity [AOR = 4.77, 95% CI: 3.00, 7.59], poor physical activity [AOR = 2.46, 95% CI: 1.75, 3.46], presence of visual symptoms [AOR = 4.28, 95% CI: 2.73, 6.69] and no history of eye exam [AOR = 2.30, 95% CI: 1.47, 3.57] were significantly associated with visual impairment., Conclusions: The pooled prevalence of visual impairment was high in Ethiopia. Diabetes mellitus with a duration of diagnosis ≥10 years, presence of co-morbid hypertension, poor glycemic control, age ≥56 years, and family history of diabetes mellitus, obesity, poor physical activity, presence of visual symptoms, and no history of eye exam were independent predictors. Therefore, diabetic patients with these identified risks should be screened, and managed early to reduce the occurrence of visual impairment related to diabetes. Moreover, public health policy with educational programs and regular promotion of sight screening for all diabetes patients are needed., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Aytenew et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Dengue fever (DF) and West Nile fever (WNF) have become endemic worldwide in the last two decades. Studies suggest that individuals with diabetes mellitus (DM) are at a higher risk of developing severe complications from these diseases. Identifying the factors associated with a severe clinical presentation is crucial, as prompt treatment is essential to prevent complications and fatalities. This article aims to summarize and assess the published evidence regarding the link between DM and the risk of severe clinical manifestations in cases of DF and WNF., Methodology/principal Findings: A systematic search was conducted using the PubMed and Web of Science databases. 27 studies (19 on DF, 8 on WNF) involving 342,873 laboratory-confirmed patients were included in the analysis. The analysis showed that a diagnosis of DM was associated with an increased risk for severe clinical presentations of both DF (OR 3.39; 95% CI: 2.46, 4.68) and WNF (OR 2.89; 95% CI: 1.89, 4.41). DM also significantly increased the risk of death from both diseases (DF: OR 1.95; 95% CI: 1.09, 3.52; WNF: OR 1.74; 95% CI: 1.40, 2.17)., Conclusions/significance: This study provides strong evidence supporting the association between DM and an increased risk of severe clinical manifestations in cases of DF and WNF. Diabetic individuals in DF or WNF endemic areas should be closely monitored when presenting with febrile symptoms due to their higher susceptibility to severe disease. Early detection and appropriate management strategies are crucial in reducing the morbidity and mortality rates associated with DF and WNF in diabetic patients. Tailored care and targeted public health interventions are needed to address this at-risk population. Further research is required to understand the underlying mechanisms and develop effective preventive and therapeutic approaches., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes., Methods: Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression., Results: Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories., Conclusions: We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors., Competing Interests: The authors report no conflicts of interest., (Copyright: © 2024 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Urinary tract infections (UTI) is a prevalent condition in those with diabetes, and in severe cases, it may escalate to sepsis. Therefore, it is important to analyze the risk variables associated with sepsis in diabetes individuals with UTI., Methods: This research was a retrospective cross-sectional analysis. From January 2011 to June 2022, a group of individuals with diabetes were identified as having UTI at a tertiary hospital situated in Southeastern China. Patient data, including information on urine culture, was collected retrospectively from a clinical record database. The participants were categorized into the sepsis and non-sepsis groups. The risk variables were derived using both uni-and multiple- variable regression analysis., Results: The research included 1919 patients, of whom 1106 cases (57.63%) had positive urine cultures. In total, 445 blood culture samples were tested, identifying 186 positive cases (41.80%). The prevalence of bacteria in urine and blood samples was highest for Escherichia coli and Klebsiella pneumoniae, respectively. Moreover, 268 individuals (13.97%) exhibited sepsis. The regression analysis indicated a positive correlation between sepsis and albumin (ALB)<34.35 g/L, C-reactive protein (CRP)>55.84 mg/L and white blood cell count (WBC) >8.485 X 109/L in diabetic cases with UTIs. By integrating the three aforementioned parameters, the area under the receiver operating characteristic curve was 0.809., Conclusions: The early detection of sepsis in diabetic individuals with UTI may be achieved using a comprehensive analysis of CRP, WBC, and ALB test findings., Competing Interests: We declare that no conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication., (Copyright: © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The prevalence of diabetes in West Africa is increasing, posing a major public health threat. An estimated 24 million Africans have diabetes, with rates in West Africa around 2-6% and projected to rise 129% by 2045 according to the WHO. Over 90% of cases are Type 2 diabetes (IDF, World Bank). As diabetes is ambulatory care sensitive, good primary care is crucial to reduce complications and mortality. However, research on factors influencing diabetes primary care access, utilisation and quality in West Africa remains limited despite growing disease burden. While research has emphasised diabetes prevalence and risk factors in West Africa, there remains limited evidence on contextual influences on primary care. This scoping review aims to address these evidence gaps., Methods and Analysis: Using the established methodology by Arksey and O'Malley, this scoping review will undergo six stages. The review will adopt the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR) guidelines to ensure methodological rigour. We will search four electronic databases and search through grey literature sources to thoroughly explore the topic. The identified articles will undergo thorough screening. We will collect data using a standardised data extraction form that covers study characteristics, population demographics, and study methods. The study will identify key themes and sub-themes related to primary healthcare access, utilisation, and quality. We will then analyse and summarise the data using a narrative synthesis approach., Results: The findings and conclusive report will be finished and sent to a peer-reviewed publication within six months., Conclusion: This review protocol aims to systematically examine and assess the factors that impact the access, utilisation, and standard of primary healthcare services for diabetes in West Africa., Competing Interests: We declare no competing interests., (Copyright: © 2024 Abdul-Samed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: The human and material resources as well as the systems for managing diabetes in Africa are inadequate. This study or needs assessment, aimed at updating the human and material resources, identifying the gaps and unmet needs for comprehensive diabetes care in Ghana., Methods: We conducted a national audit of 122 facilities in all 16 administrative regions of Ghana. Information obtained covered areas on personnel and multidisciplinary teams, access to medications, access to laboratory services, financing, screening services, management of diabetes complications, and availability/use of diabetes guidelines or protocols. Data was analysed using STATA version 16.1. P-values <0.05 were set as significant., Results: Only 85(69.7%) out of the 122 surveyed facilities had a dedicated centre or service for diabetes care. Twenty-eight (23%) had trained diabetes doctors/specialists; and whilst most centres had ophthalmic nurses and dieticians, majority of them did not have trained diabetes educators (nurses), psychologists, ophthalmologists, podiatrists, and foot/vascular surgeons. Also, 13.9% had monofilaments, none could perform urine dipstick for microalbumin; 5 (4.1%) and just over 50% could perform laboratory microalbumin estimation and glycated haemoglobin, respectively. Access to and supply of human insulins was better than analogue insulin in most centres. Nearly 100% of the institutions surveyed had access to metformin and sulphonylurea with good to excellent supply in most cases, whilst access to Sodium Glucose Transporter-2 inhibitors and Glucagon-like peptide-1 analogues were low, and moderate for Dipeptidyl peptidase-4 inhibitors and thiazolidinediones. Majority of the health facilities (95.1%) offered NHIS as payment mechanism for clients, whilst 68.0% and 30.3% of the patients paid for services using out-of-pocket and private insurance respectively. Fifteen facilities (12.3%) had Diabetes Support Groups in their locality and catchment areas., Conclusion: An urgent multisectoral collaboration, including prioritisation of resources at the facility level, to promote and achieve acceptable comprehensive diabetes care is required., Competing Interests: The authors have declared that no competing interests exist, (Copyright: © 2024 Yorke et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Particulate matter (PM) has various health effects, including cardiovascular diseases. Exposure to PM and a diagnosis of diabetes mellitus (DM) have been associated with an increased risk of cardiac arrhythmias. However, no comprehensive synthesis has been conducted to examine the modifying effect of DM on the association between PM and arrhythmia events. Thus, the objectives of this review were to investigate whether the association of PM is linked to cardiac arrhythmias and whether DM status modifies its effect in the general population. The search was conducted on PubMed/MEDLINE and Embase until January 18, 2023. We included cohort and case-crossover studies reporting the effect of PM exposure on cardiac arrhythmias and examining the role of diabetes as an effect modifier. We used the DerSimonian and Laird random-effects model to calculate the pooled estimates. A total of 217 studies were found and subsequently screened. Nine studies met the inclusion criteria, and five of them were included in the meta-analysis. The participants numbered 4,431,452, with 2,556 having DM. Exposure to PM of any size showed a significant effect on arrhythmias in the overall population (OR 1.10, 95% CI 1.04-1.16). However, the effect modification of DM was not significant (OR 1.18 (95% CI 1.01-1.38) for DM; OR 1.08 (95% CI 1.02-1.14) for non-DM; p-value of subgroup difference = 0.304). Exposure to higher PM concentrations significantly increases cardiac arrhythmias requiring hospital or emergency visits. Although the impact on diabetic individuals is not significant, diabetic patients should still be considered at risk. Further studies with larger sample sizes and low bias are needed., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Tassanaviroj et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Noncommunicable diseases (NCDs) account for nearly 75% of all deaths in Tamil Nadu. The government of Tamil Nadu has initiated several strategies to control NCDs under the Tamil Nadu Health Systems Reform Program (TNHSRP). We aimed to estimate the prevalence of NCD risk factors and determine the predictors of diabetes and hypertension, which will be helpful for planning and serve as a baseline for evaluating the impact of interventions., Methods: A state-wide representative cross-sectional study was conducted among 18-69-year-old adults in Tamil Nadu in 2020. The study used a multi-stage sampling method to select the calculated sample size of 5780. We adapted the study tools based on WHO's STEPS surveillance methodology. We collected information about sociodemographic factors, NCD risk factors and measured blood pressure and fasting capillary blood glucose. The predictors of diabetes and hypertension were calculated using generalised linear models with 95% confidence intervals (95% CI)., Results: Due to the COVID-19 pandemic lockdown, we could cover 68% (n = 3800) of the intended sample size. Among the eligible individuals surveyed (n = 4128), we had a response rate of 92%. The mean age of the study participants was 42.8 years, and 51% were women. Current tobacco use was prevalent in 40% (95% CI: 33.7-40.0) of men and 7.9% (95% CI: 6.4-9.8) of women. Current consumption of alcohol was prevalent among 39.1% (95% CI: 36.4-42.0) of men. Nearly 28.5% (95% CI: 26.7-30.4) of the study participants were overweight, and 11.4% (95% CI: 10.1-12.7) were obese. The prevalence of hypertension was 33.9% (95% CI: 32.0-35.8), and that of diabetes was 17.6% (95% CI: 16.1-19.2). Older age, men, and obesity were independently associated with diabetes and hypertension., Conclusion: The burden of NCD risk factors like tobacco use, and alcohol use were high among men in the state of Tamil Nadu. The prevalence of other risk factors like physical inactivity, raised blood pressure and raised blood glucose were also high in the state. The state should further emphasise measures that reduce the burden of NCD risk factors. Policy-based and health system-based interventions to control NCDs must be a high priority for the state., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Selvavinayagam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Diabetes mellitus continues to be a significant global public health concern, and it is currently a public health issue in developing nations. In Ethiopia, about three fourth of adult population with diabetes are unaware of their diabetic condition. However, there is a limited research on this specific topic particularly in the study area., Objective: To assess prevalence of undiagnosed diabetes mellitus and its associated factor among adult residents of Mizan Aman town, south West Ethiopia., Methods and Material: A community-based cross-sectional study was conducted from May 23 to July 7, 2022, on 627 adult residents of Mizan Aman town. A multi stage sampling technique was used to obtain 646 study units. Interviewer-administered structured questionnaires were employed to gather socio-demographic and behavioral data. Anthropometric measurements were obtained and blood samples were taken from each participants. The fasting blood glucose level was measured after an 8-hour gap following a meal, using a digital glucometer to analyze a blood sample. Data were cleaned and entered into Epi-data v 3.1 and exported to SPSS v. 26 for analysis. Bi-variable analysis was done to select candidate variables and multivariable logistic regression model was fitted to identify independent predictors of undiagnosed diabetes mellitus. Adjusted odds ratio (AOR) with 95% CI was computed and variables with p-value < 0.05 were declared to be predictors of undiagnosed diabetes mellitus., Results: The study revealed that, the overall magnitude of undiagnosed diabetes mellitus was 8.13% (95% CI: 6.1, 10.6). Predictors of undiagnosed diabetes mellitus were; physical activity level less than 600 Metabolic equivalent/min per week (AOR = 3.39, 95%CI 1.08 to 10.66), family history of diabetes mellitus (AOR = 2.87, 95% CI 1.41, 5.85), current hypertension(AOR = 2.9, 95% CI 1.26, 6.69), fruit consumption of fewer than three servings per week(AOR = 2.64, 95% CI 1.18 to 5.92), and sedentary life(AOR = 3.33, 95% CI 1.63 to 6.79)., Conclusion: The prevalence of undiagnosed diabetes mellitus was 8.13%. Physical inactivity, family history of diabetes mellitus, current hypertension, sedentary life, and fruit servings fewer than three per week were independent predictors of undiagnosed diabetes mellitus., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Atrese et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Diabetes Mellitus is a serious and expanding health problem, together with the issues of health- related quality of life (HRQoL). This further puts pressure on the government to allocate more funds for public healthcare., Objectives: This study was devised to evaluate the health-related quality of life of people living with diabetes in Hail region of Saudi Arabia., Methods: This cross-sectional research was carried out at eight locations in the Hail region of Saudi Arabia between 21st March-20th May 2022 using the adapted version of the Euro QoL-5 dimension (EQ-5D-3L) questionnaire. A multistage random sample approach was used to choose the diabetes clinics, and data collectors approached the participants in the waiting areas to collect the information. The data were analyzed using logistic regression analysis, Mann-Whitney test, and Kruskal-Wallis tests in IBM SPSS statistics 21.0., Results: The mean HRQoL score was 0.71±0.21 with a visual analog score of 68.4±16.2. Despite having much higher levels of quality of life in terms of self-care (85.8%), regular activity (73.8%) and anxiety (71.8%), nearly one half of the people reported moderate pain or discomfort, and more than one third reported having moderate mobility issues. In general, the quality of life for women was poorer than for men. Individuals with diabetes who were unmarried, young, educated, financially secure, and taking only oral medication had much improved HRQoL. The Euro QoL of people with diabetes patients were significantly influenced by gender, marital status, age, education, employment and treatment modality (p-values < 0.05), whereas only treatment modality had a significant impact on the patients' visual analogue measures (p-values < 0.05)., Conclusions: The HRQoL of people with diabetes in Hail region was moderate in general, with pain and mobility issues being particularly prevalent. Gender, marital status, age, education, employment and type of medication therapy are significant predictors of HRQoL of patients with diabetes. Hence, planning and programs to enhance the HRQoL of people with diabetes, especially women is recommended., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Alshammari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: The purpose of this study was to investigate whether the combination of abnormal systemic immune-inflammation index (SII) levels and hyperglycemia increased the risk of cognitive function decline and reduced survival rate in the United States., Methods: This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) database from 2011-2014 and enrolled 1,447 participants aged 60 years or older. Restricted cubic splines (RCS), linear regression and kaplan-meier(KM) curve were employed to explore the combined effects of abnormal SII and hyperglycemia on cognitive function and survival rate, and subgroup analysis was also conducted., Results: The RCS analysis revealed an inverted U-shaped relationship between lgSII levels and cognitive function. Linear regression analysis indicated that neither abnormal SII nor diabetes alone significantly contributed to the decline in cognitive function compared to participants with normal SII levels and blood glucose. However, when abnormal SII coexisted with diabetes (but not prediabetes), it resulted to a significant decline in cognitive function. After adjusting for various confounding factors, these results remained significant in Delayed Word Recall (β:-0.76, P<0.05) and Digit Symbol Substitution tests (β:-5.02, P<0.05). Nevertheless, these results showed marginal significance in Total Word Recall test as well as Animal Fluency test. Among all subgroup analyses performed, participants with both abnormal SII levels and diabetes exhibited the greatest decline in cognitive function compared to those with only diabetes. Furthermore, KM curve demonstrated that the combination of abnormal SII levels and diabetes decreased survival rate among participants., Conclusion: The findings suggest that the impact of diabetes on cognitive function/survival rate is correlated with SII levels, indicating that their combination enhances predictive power., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Multimorbidity, the presence of 2 or more chronic conditions in a person at the same time, is an increasing public health concern, which affects individuals through reduced health related quality of life, and society through increased need for healthcare services. Yet the structure of chronic conditions in individuals with multimorbidity, viewed as a population, is largely unmapped. We use algorithmic diagnoses and the K-means algorithm to cluster the entire 2015 Danish multimorbidity population into 5 clusters. The study introduces the concept of rim data as an additional tool for determining the number of clusters. We label the 5 clusters the Allergies, Chronic Heart Conditions, Diabetes, Hypercholesterolemia, and Musculoskeletal and Psychiatric Conditions clusters, and demonstrate that for 99.32% of the population, the cluster allocation can be determined from the diagnoses of 4-5 conditions. Clusters are characterized through most prevalent conditions, absent conditions, over- or under-represented conditions, and co-occurrence of conditions. Clusters are further characterized through socioeconomic variables and healthcare service utilizations. Additionally, geographical variations throughout Denmark are studied at the regional and municipality level. We find that subdivision into municipality levels suggests that the Allergies cluster frequency is positively associated with socioeconomic status, while the subdivision suggests that frequencies for clusters Diabetes and Hypercholesterolemia are negatively correlated with socioeconomic status. We detect no indication of association to socioeconomic status for the Chronic Heart Conditions cluster and the Musculoskeletal and Psychiatric Conditions cluster. Additional spatial variation is revealed, some of which may be related to urban/rural populations. Our work constitutes a step in the process of characterizing multimorbidity populations, leading to increased comprehension of the nature of multimorbidity, and towards potential applications to individual-based care, prevention, the development of clinical guidelines, and population management., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Stockmarr, Frølich. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: To investigate the association between the visceral adiposity index and the prevalence of diabetes and prediabetes in the US adult population., Method: We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 for ten consecutive years, including 18745 eligible participants. The weighted multivariate logistic model and fitting curve were used to explore the correlation and dose-response relationship between visceral adiposity index (VAI) and diabetes (DM) and prediabetes in the general population and the prevalence of different subgroups., Results: In the fully adjusted continuous model, the risk of diabetes and prediabetes in the general population increased 0.15 times [1.15 (1.10,1.20), p<0.0001] with every increase of 1 unit of VAI. In the fully adjusted classification model, with the lowest quartile array Q1 of VAI as the reference group, Q2 of the second Quantile group, Q3 of the third Quantile group, and Q4 of the Quartile group increased 0.26 times [1.26 (1.10,1.44), p<0.001], 0.65 times [1.65 (1.43,1.89), p<0.0001], 1.60 times [2.60 (2.28,2.97), p<0.0001] respectively with the risk of diabetes and prediabetes. The above results showed that VAI was positively associated with the prevalence of diabetes and prediabetes, and the fitted curves showed a non-linear trend. (P for non-linear = 0<0.05). The results of the subgroup population were consistent with the total population and a significant interaction was found in gender (P for interaction<0.0001)., Conclusion: In conclusion, we found a non-linear positive association between VAI and the risk of diabetes and prediabetes in the US adult population and found that women have a higher risk of diabetes and prediabetes than men; therefore, we should focus on the female population, and we call for the use of VAI to manage the development of diabetes and prediabetes in the clinical setting., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Zheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: To assess the impact of diabetes on physical and mental health status, as well as patient satisfaction, one-year following knee and hip total joint arthroplasty (TJA) for osteoarthritis (OA)., Methods: Participants were 626 hip and 754 knee TJA patients. Pre-surgery data were collected on socio-demographics and health status. The 12-item Short Form Health Survey (SF-12) was collected pre- and one year post-surgery, and physical (PCS) and mental component (MCS) summary scores computed. One-year patient satisfaction was also recorded. Four regression models tested the effect of diabetes on: 1) PCS change score; 2) MCS change score; 3) achieving minimal clinically important improvement (MCII) on PCS; and 4) patient satisfaction ('Somewhat or Very Satisfied' vs. 'Somewhat or Very Dissatisfied'). An interaction between surgical joint and diabetes was tested in each model., Results: Self-reported diabetes prevalence was 13.0% (95% CI: 11.2%-14.7%) and was more common in knee 16.1% (95% CI: 13.4%-18.7%) than hip 9.3% (95% CI: 7.0%-11.5%) patients. In adjusted analyses, change scores were 2.3 units less on the PCS for those with diabetes compared to those without (p = 0.005). Patients with diabetes were about half as likely to achieve MCII as patients without diabetes (p = 0.004). Diabetes was not significantly associated with satisfaction or changes in MCS scores. Diabetes effects did not differ by surgical joint., Conclusions: Findings support that diabetes has a negative impact on improvements in physical health after TJA. Considering the growing prevalence of OA and diabetes in the population, our findings support the importance of perioperative screening and management of diabetes in patients undergoing TJA., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Power et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Oh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: In recent years, several studies have reported on the relationship between diabetes and carpal tunnel syndrome (CTS). However, due to their contradictory results, a systematic review and meta-analysis were conducted to investigate this subject., Methods: This study is a systematic review and meta-analysis of studies published in ISI Web of Science, Scopus, PubMed, Cochrane, Google Scholar, and Embase databases. Heterogeneity in the studies included in the meta-analysis was evaluated using statistical tests such as the Chi-square test, I2, and forest plots. Publication bias was assessed using Begg's and Egger's tests., Results: This investigation analyzed data from 42 studies conducted between 1985 and 2022, with a total of 3,377,816 participants. The meta-analysis demonstrated that the odds ratio (OR) of CTS in participants with a history of diabetes compared to those without was 1.90 (95% CI: 1.64-2.21; P-value < 0.001). Given that publication bias was observed in this study (Begg's test P-value = 0.01), the modified OR was calculated with consideration of missed studies, which was 1.68 (95% CI: 1.45-1.94; P-value < 0.001)., Conclusion: The results of this study suggest that diabetic patients have 90% higher odds of developing CTS compared to non-diabetic individuals, which is statistically significant., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Sanjari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Older adults with diabetes are at high risk of severe hypoglycemia (SH). Many machine-learning (ML) models predict short-term hypoglycemia are not specific for older adults and show poor precision-recall. We aimed to develop a multidimensional, electronic health record (EHR)-based ML model to predict one-year risk of SH requiring hospitalization in older adults with diabetes., Methods and Findings: We adopted a case-control design for a retrospective territory-wide cohort of 1,456,618 records from 364,863 unique older adults (age ≥65 years) with diabetes and at least 1 Hong Kong Hospital Authority attendance from 2013 to 2018. We used 258 predictors including demographics, admissions, diagnoses, medications, and routine laboratory tests in a one-year period to predict SH events requiring hospitalization in the following 12 months. The cohort was randomly split into training, testing, and internal validation sets in a 7:2:1 ratio. Six ML algorithms were evaluated including logistic-regression, random forest, gradient boost machine, deep neural network (DNN), XGBoost, and Rulefit. We tested our model in a temporal validation cohort in the Hong Kong Diabetes Register with predictors defined in 2018 and outcome events defined in 2019. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC) statistics, and positive predictive value (PPV). We identified 11,128 SH events requiring hospitalization during the observation periods. The XGBoost model yielded the best performance (AUROC = 0.978 [95% CI 0.972 to 0.984]; AUPRC = 0.670 [95% CI 0.652 to 0.688]; PPV = 0.721 [95% CI 0.703 to 0.739]). This was superior to an 11-variable conventional logistic-regression model comprised of age, sex, history of SH, hypertension, blood glucose, kidney function measurements, and use of oral glucose-lowering drugs (GLDs) (AUROC = 0.906; AUPRC = 0.085; PPV = 0.468). Top impactful predictors included non-use of lipid-regulating drugs, in-patient admission, urgent emergency triage, insulin use, and history of SH. External validation in the HKDR cohort yielded AUROC of 0.856 [95% CI 0.838 to 0.873]. Main limitations of this study included limited transportability of the model and lack of geographically independent validation., Conclusions: Our novel-ML model demonstrated good discrimination and high precision in predicting one-year risk of SH requiring hospitalization. This may be integrated into EHR decision support systems for preemptive intervention in older adults at highest risk., Competing Interests: JCNC has received research grants and/or honoraria for consultancy or giving lectures, from AstraZeneca, Bayer, Bristol-Myers Squibb, Boehringer Ingelheim, Daiichi-Sankyo, Eli-Lilly, GlaxoSmithKline, Merck Serono, Merck Sharp & Dohme, Novo-Nordisk, Pfizer and Sanofi. APSK has received honoraria for consultancy or giving lectures from Abbott, Astra Zeneca, Bayer, Boehringer Ingelheim, Dexcom, Eli-Lilly, Kyowa Kirin, Merck Serono, Merck Sharp & Dohme, Nestle, Novo-Nordisk, Pfizer and Sanofi. RCWM has received research grants and/or honoraria for consultancy or giving lectures, from AstraZeneca, Boehringer Ingelheim, Bayer, Kyowa Kirin, Merck, Novo Nordisk, Pfizer, Roche Diagnostics and Tricida Inc. The proceeds have been donated to the Chinese University of Hong Kong, American Diabetes Association and other charity organizations to support diabetes research and education. RCWM is an Academic Editor on PLOS Medicine’s editorial board. Other authors declared no conflict of interests with this work., (Copyright: © 2024 Shi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Purpose: Periodontal disease is a risk factor for diabetes and metabolic syndrome, and non-surgical periodontal treatment has been shown to help maintain stable blood sugar in diabetic patients. Determining the level of preventive scaling in patients with metabolic syndrome will help manage the disease. The purpose of this study was to investigate the extent to which people with metabolic syndrome or bad lifestyle performed scaling and the association between preventive scaling and metabolic syndrome or lifestyle in a large population., Methods: This study was conducted on adults aged 20 years or older from January 2014 to December 2017 in the National Health Insurance System (NHIS) database. Among 558,067 people who underwent health checkups, 555,929 people were included. A total of 543,791 people were investigated for preventive scaling. Metabolic syndrome components were abdominal obesity, lower high density lipoprotein cholesterol (HDL)-C, high triglycerides, high blood pressure and hyperglycemia. Unhealthy lifestyle score was calculated by assigning 1 point each for current smokers, drinkers, and no performing regular exercise., Results: When multiple logistic regression analysis was performed after adjusting for age, sex, income, body mass index (BMI), smoking, drinking and regular exercise, the Odds ratios (OR) and 95% confidence intervals (CI) of the group with 5 metabolic syndrome components were 0.741 (0.710, 0.773) (p<0.0001). After adjustment for age, sex, income, BMI, smoking, drinking, regular exercise, diabetes, hypertension and dyslipidemia, the OR (95% CI) of the group with unhealthy lifestyle score = 3 was 0.612 (0.586, 0.640) (p<0.0001)., Conclusions: The more metabolic syndrome components, and the higher unhealthy lifestyle score, the less scaling was performed., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)