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Background: Non-communicable diseases (NCDs) are the leading cause of death around the world. The Dietary Quality Index-International (DQI-I) is one of the indicators that shows changes in diet and its association with NCDs. The aim of this study is to measure the association between the DQI-I and major metabolic risk factors. Methods: This study is a cross-sectional study based on data collected in the first phase of the prospective cohort study on Ravansar non-communicable diseases (RaNCD). To perform clinical and biochemical tests such as lipid profile, blood glucose and liver enzymes, blood samples were collected using standard vacutainer blood collection techniques. Information from the food frequency questionnaire containing 118 food items was used to score each person's DQI-I. Binary logistic regression was used to determine the association between the DQI-I tertile and the metabolic risk factors. Linear regression was also used for the association between subgroups of DQI-I score and the metabolic risk factors. Results: The total number of subjects in this study was 7,115, with a mean age of 47.14 ± 8.29 years. Dietary quality was generally poor, with 37.03% in the lowest tertile. Men had better dietary quality than women. Anthropometric measures, blood pressure, triglycerides and blood glucose were lower in the lowest tertile of dietary quality. A one-unit increase in the total DQI-I resulted in a 0.19 decrease in total cholesterol. Higher dietary quality was associated with a 22% increased risk of high triglycerides, a 19% increased risk of low high-density density lipoprotein, a 5% decreased risk of elevated low-density lipoprotein, a 42% increased risk of high blood pressure, and a 99% increased risk of high fasting blood glucose. Higher dietary quality was also associated with a 33% increased risk of overweight/obesity. Conclusion: The study found that participants had poor dietary quality, with some favorable metabolic outcomes in the lowest tertile, but concerning associations in the highest tertile, including increased risk for high triglycerides, blood pressure, and obesity. The complex associations suggest that balanced, multifaceted interventions are needed. [ABSTRACT FROM AUTHOR]

Background: Obesity-induced metabolic dysfunction increases the risk of developing tumors, however, the relationship between metabolic obesity phenotypes and prostate cancer (PCa) remains unclear. Methods: The term metabolic obesity phenotypes was introduced based on metabolic status and BMI categories. Participants were categorized into four groups: metabolically healthy nonobesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy nonobesity (MUNO), and metabolically unhealthy obesity (MUO). Propensity score matching was conducted based on age, ethnicity, marriage, etc. Univariate and multivariate conditional logistic regression analyses were used to assess the relationship between metabolic obesity phenotypes, metabolic risk factors, and PCa. Sensitivity analysis was performed to verify the robustness of the results. Results: After propensity score matching among 564 PCa patients and 1418 healthy individuals, 209 were selected for each of the case and control groups. There were no statistically significant differences in the basic characteristics between the two groups. Univariate and multivariate conditional logistic regression suggested that the risk of developing PCa in both MHO and MUO individuals was higher than in MHNO individuals. Specifically, the risk of developing PCa in MHO individuals was 2.166 times higher than in MHNO individuals (OR=2.166, 95%CI: 1.133-4.139), and the risk in MUO individuals was is 2.398 times higher than in MHNO individuals(OR=2.398, 95%CI:1.271-4.523). Individuals with hyperglycemia and elevated triglycerides also had a higher risk of developing PCa (hyperglycemia:OR=1.488, 95%CI: 1.001-2.210; elevated triglycerides: OR=2.292, 95%CI: 1.419-3.702). Those with more than or equal to three metabolic risk factors had an increased risk of PCa (OR=1.990, 95%CI: 1.166-3.396). Sensitivity analysis indicated an increased risk of PCa in MUO individuals compared to MHNO individuals. Conclusion: In this retrospective study, individuals with MHO and MUO had a higher risk of developing PCa. [ABSTRACT FROM AUTHOR]

Observational investigations recommend that mineral supplements were associated with a higher risk of polycystic ovary syndrome (PCOS) and its risk factors (insulin resistance, hyperandrogenism, and obesity), but the relationship with risk of PCOS, hyperandrogenism, obesity, and insulin resistance was unclear. This study was to investigate the potential causal impact of genetically predicted levels of magnesium (Mg), calcium (Ca), selenium (Se), zinc (Zn), iron (Fe), and omega-3 (ω-3) on polycystic ovary syndrome (PCOS) and its associated risk factors. A two-sample Mendelian randomization (MR) analysis was conducted. The genetic variations obtained from GWAS of individuals with European ancestry were found to be associated with the genetically predicted levels of Ca, Mg, Zn, Se, Fe, or ω-3. The data obtained from the FinnGen Consortium and MAGIC were utilized for the outcome of GWAS. The study found that there was a correlation between genetically predicted higher levels of Se and a reduced risk of insulin resistance, with a decrease of 2.2% according to random-effect IVW (OR 0.978, 95% CI 0.960–0.996, p = 0.015). The association between genetically determined mineral levels and PCOS was found to be limited, with an odds ratio (OR) ranging from 0.875 (95% CI: 0.637–1.202, p value = 0.411) for Ca. Limited scientific proof was found for the efficacy of other genetically determined mineral levels on hyperandrogenism, obesity, and insulin resistance. These findings suggested a causal relationship between genetically predicted higher levels of Se and a reduced risk of insulin resistance. Nonetheless, there is limited evidence supporting a causal association between various genetically determined mineral levels and the risk factors associated with PCOS. [ABSTRACT FROM AUTHOR]

Metabolic factors are major and controllable risk factors for cardiovascular diseases (CVD), and few studies have described this burden. We aim to assess it from 1990 to 2019 and predict the trends through 2034. Global Burden of Disease (GBD) provides data on sex, age, and socio-demographic index (SDI) levels. Numbers, age-standardized death rates (ASDR) and estimated annual percentage change (EAPC) were used. Future trends were estimated by NORDPRED model. The deaths cases of metabolic-related CVD increased from 8.61 million (95% UI: 7.91–9.29) to 13.71 million (95% UI: 12.24–14.94) globally. The ASDR continued to decline globally (EAPC = −1.36). The burden was heavier in male and middle-aged people and elderly people. CVD-related ASDR caused by high systolic blood pressure (SBP) had a downward trend globally (EAPC = −1.45), while trends of high body mass index (BMI) (EAPC = 1.29, 1.97, 0.92) and fasting plasma glucose (FPG) (EAPC = 0.95, 1.08, 0.46) were increasing in the middle, low-middle, and low SDI regions, respectively. Compared to 2015–2019, cumulative deaths will increase by 27.85% from 2030 to 2034, while ASDR will decrease 10.47%. The metabolic-related CVD burden remained high globally and deaths will continue to rise in the future. Men, middle-aged and elderly people were focus of concern. High SBP was globally well-managed over the past 30 years, but the CVD burden due to high BMI and FPG remained high. Exceptional initiatives are needed to regarding interventions targeting high BMI and FPG in middle and lower SDI regions. [ABSTRACT FROM AUTHOR]

Copyright of Celal Bayar Üniversitesi Saglik Bilimleri Enstitüsü Dergisi is the property of Celal Bayar University Health Sciences Institute Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Myocardial infarction (MI) sets off a complex inflammatory cascade that is crucial for effective cardiac healing and scar formation. Yet, if this response becomes excessive or uncontrolled, it can lead to cardiovascular complications. This review aims to provide a comprehensive overview of the tightly regulated local inflammatory response triggered in the early post-MI phase involving cardiomyocytes, (myo)fibroblasts, endothelial cells, and infiltrating immune cells. Next, we explore how the bone marrow and extramedullary hematopoiesis (such as in the spleen) contribute to sustaining immune cell supply at a cardiac level. Lastly, we discuss recent findings on how metabolic cardiovascular risk factors, including hypercholesterolemia, hypertriglyceridemia, diabetes, and hypertension, disrupt this immunological response and explore the potential modulatory effects of lifestyle habits and pharmacological interventions. Understanding how different metabolic risk factors influence the inflammatory response triggered by MI and unraveling the underlying molecular and cellular mechanisms may pave the way for developing personalized therapeutic approaches based on the patient's metabolic profile. Similarly, delving deeper into the impact of lifestyle modifications on the inflammatory response post-MI is crucial. These insights may enable the adoption of more effective strategies to manage post-MI inflammation and improve cardiovascular health outcomes in a holistic manner. [ABSTRACT FROM AUTHOR]

Objective: To diagnose, treat, and prevent stone recurrence, it is important to determine the metabolic risk factors that play a role in developing urinary system stone disease in children. This study assessed children with urinary system stones’ clinical, radiological, and metabolic characteristics. Material And Methods: A retrospective study was conducted on the records of pediatric patients who applied to our pediatric outpatient nephrology clinic for various reasons between February 2018 and December 2023 and were diagnosed with urinary system stones. Results: Of the 122 patients with a mean age of 4.40±4.16 years (1 month-17 years), 63 (51.6%) were boys and 59 (48.4%) were girls. In 61.4% of the children, a family history was identified. The most common presenting symptom was abdominal/flank pain or restlessness (47.5%). In 25.4% of the patients, the stones were ≤3 mm (microlithiasis), and most stones were in the upper system. One or more metabolic abnormalities have been detected during urine analysis for 58.2% of patients. The most frequent metabolic abnormalities were hypercalciuria (20.5%) and hypocitraturia (17.2%). In 74.6% of patients, the size of stones decreased or completely disappeared with medical treatment based on underlying metabolic abnormalities, and in 17.2%, they did not change at all. Only eight (6.6%) patients required interventional procedures. Conclusion: Metabolic causes should be investigated first in all children with urinary tract stones. Special medical treatments designed to alter metabolism reduce the need for invasive stone procedures. [ABSTRACT FROM AUTHOR]

Introduction: The Hispanic population in the US faces a higher risk of nonalcoholic fatty liver disease (NAFLD). Multiple factors influence this risk, including genetics, environmental factors, and socioeconomic statuses. Inadequate access to nutritious foods, or food insecurity, is prevalent among Hispanic individuals and poses a metabolic risk for both the onset and development of NAFLD. Materials and Methods: We utilized the National Health and Nutrition Examination Survey (NHANES) 2017–2020 pre-pandemic data to analyze the association between Hispanic ethnicity, hepatic steatosis, fibrosis, and food insecurity. Vibration-controlled transient elastography (VCTE) was employed to assess liver stiffness (LSM) and controlled attenuation parameter (CAP) scores to determine fibrosis and steatosis, respectively. Linear and ordinal logistic regression models were applied to their continuous, log-transformed, and categorical forms, adjusting for demographics, metabolic comorbidities, and socioeconomic factors. Models were subsequently stratified based on food security statuses. Results: A total of 7396 Hispanic participants were included in the study. Under multivariable analysis, Hispanic individuals had higher CAP scores (Beta-coefficient: 10.2 dB/m, 95% CI: 6.1–14.4 dB/m, p = 0.001)) vs. non-Hispanic individuals, without statistically significant differences in fibrosis. Food-insecure participants exhibited higher CAP scores than their food-secure counterparts. After stratification, a stronger association between Hispanic ethnicity and CAP scores was evident in the food-insecure group (Beta-coefficient: 11.8 dB/m, 95% CI: 4.4–19.3 dB/m, p = 0.003). Discussion: This study demonstrates the heightened risk of hepatic steatosis among individuals with Hispanic ancestry in the US. The risk is exacerbated by food insecurity, particularly for Hispanic individuals. The contribution is linked to the dietary habits in this population that lead to metabolic risk factors associated with hepatic steatosis. Considering the rising prevalence of NAFLD and food insecurity, interventions focusing on nutritional support and healthcare access among this population could mitigate these burdens. [ABSTRACT FROM AUTHOR]

Background Patients with type 2 diabetes (T2D) may disproportionately suffer the adverse cardiovascular effects of air pollution, but relevant evidence on microvascular outcome is lacking. We aimed to examine the association between air pollution exposure and the risk of microvascular complications among patients with T2D. Methods This prospective study included 17 995 participants with T2D who were free of macro- and micro-vascular complications at baseline from the UK Biobank. Annual average concentrations of particulate matter (PM) with diameters <2.5 μm (PM2.5), <10 μm (PM10), nitrogen dioxide (NO2) and nitrogen oxides (NOx) were assessed using land use regression models. Cox proportional hazards regression was used to estimate the associations of air pollution exposure with incident diabetic microvascular complications. The joint effects of the air pollutant mixture were examined using quantile-based g-computation in a survival setting. Results In single-pollutant models, the adjusted hazard ratios (95% confidence intervals) for composite diabetic microvascular complications per interquartile range increase in PM2.5, PM10, NO2 and NOx were 1.09 (1.04–1.14), 1.06 (1.01–1.11), 1.07 (1.02–1.12) and 1.04 (1.00–1.08), respectively. Similar significant results were found for diabetic nephropathy and diabetic neuropathy, but not for diabetic retinopathy. The associations of certain air pollutants with composite microvascular complications and diabetic nephropathy were present even at concentrations below the World Health Organization limit values. Multi-pollutant analyses demonstrated that PM2.5 contributed most to the elevated risk associated with the air pollutant mixture. In addition, we found no interactions between air pollution and metabolic risk factor control on the risk of diabetic microvascular complications. Conclusions Long-term individual and joint exposure to PM2.5, PM10, NO2 and NOx, even at low levels, was associated with an increased risk of diabetic microvascular complications, with PM2.5 potentially being the main contributor. [ABSTRACT FROM AUTHOR]

Aim: We investigated associations between body mass index (BMI) z‐scores for children aged 0–2 years and the BMI z‐scores, body fat percentage and metabolic risk factors at 3 years of age. Methods: This was a secondary analysis of the Lifestyle in Pregnancy and Offspring randomised controlled trial, carried out at two university hospitals in Denmark. It comprised 149 mothers with BMI ≥30 kg/m2 who did or did not receive a lifestyle intervention during pregnancy and a reference group of 97 mothers with normal‐weight, with follow‐up of their 3‐year‐old offspring. The children in these three groups were pooled for the data analyses, due to similar characteristics between groups. The BMI z‐scores were calculated at 5 weeks, 5 months and 1, 2 and 3 years, using Danish reference groups. Their anthropometrics and metabolic outcomes were examined at 3 years of age. Results: BMI z‐scores at 5 months to 2 years were associated with BMI z‐scores and body fat percentage at 3 years of age and BMI z‐scores were not associated with metabolic risk factors at 3 years. Conclusion: BMI z‐scores from 5 weeks of age were associated with adverse anthropometric outcomes but not with metabolic risk factors at 3 years of age. [ABSTRACT FROM AUTHOR]

Background: While postpartum weight changes may affect the levels of metabolic parameters, the direct effects of weight changes in the postpartum period on changes in the prevalence rates of metabolic syndrome and its components remain unstudied. This study aimed to investigate the effects of postpartum weight changes between 6 weeks and 6 months on changes in the prevalence rates of metabolic syndrome and its components in women who have recently experienced gestational diabetes mellitus. Methods: This prospective cohort study included 171 postpartum women with recent gestational diabetes mellitus, who underwent serial weight and metabolic risk factor assessments at 6 weeks and 6 months postpartum. Weight changes between these time points were classified as weight loss (> 2 kg), weight stability (± 2 kg), or weight gain (> 2 kg). Metabolic syndrome comprised the following metabolic risk factors: large waist circumference, elevated blood pressure, elevated fasting plasma glucose levels, high triglyceride levels, and low high-density lipoprotein cholesterol levels. Results: Of the 171 women in our cohort, 30 women (17.5%) lost > 2 kg of body weight, while 85 (49.7%) maintained a stable weight and 56 (32.8%) gained > 2 kg. The weight loss group experienced significant changes in the prevalence rates of the following metabolic risk factors compared to the weight stability and weight gain groups: large waist circumference (% change: − 26.7 vs − 5.9 vs 5.4, respectively; p = 0.004), elevated fasting plasma glucose levels (% change: − 3.4 vs 18.9 vs 26.8, respectively; p = 0.022), and high triglyceride levels (% change: − 30.0 vs 0 vs − 7.2, respectively; p = 0.024). A significantly greater decrease in the prevalence of metabolic syndrome was also found in the weight loss group than in the other two groups (% change: − 20.0 vs 11.8 vs 14.2, respectively; p = 0.002). Conclusions: Weight changes from 6 weeks to 6 months postpartum significantly altered the prevalence rates of metabolic syndrome and its components in women with recent gestational diabetes mellitus. Early postpartum weight loss can reverse metabolic risk factors and reduce the prevalence of metabolic syndrome. Trial registration: Thai Clinical Trials Registry: Registration no. TCTR20200903001. Date of registration: September 3, 2020. Date of initial participant enrolment: September 7, 2020. Plain language summary: Metabolic syndrome (MetS) is a frequent diagnosis with consequences for the occurrence of cardiovascular diseases. Women with gestational diabetes mellitus (GDM) are especially vulnerable to the development of MetS. In this study, we investigated how postpartum weight changes, specifically between 6 weeks and 6 months postpartum, impact MetS and its components in women who have recently experienced GDM. The results of our study showed that women who lost > 2 kg of body weight between 6 weeks and 6 months postpartum had significant decreases in the prevalence rates of metabolic risk factors, leading to a lower prevalence of MetS, compared to women who maintained a stable weight (± 2 kg) or gained > 2 kg. Our findings suggest that such weight loss is beneficial for preventing MetS; thus, strategies should be developed to support women with GDM in achieving postpartum weight loss. These strategies may include personalized dietary counseling, exercise programs, and behavioral support tailored to the specific needs and challenges faced by this population. [ABSTRACT FROM AUTHOR]

Diabetic retinopathy (DR) is one of leading causes of vision loss in adults with increasing prevalence worldwide. Increasing evidence has emphasized the importance of gut microbiome in the aetiology and development of DR. However, the causal relationship between gut microbes and DR remains largely unknown. To investigate the causal associations of DR with gut microbes and DR risk factors, we employed two‐sample Mendelian Randomization (MR) analyses to estimate the causal effects of 207 gut microbes on DR outcomes. Inputs for MR included Genome‐wide Association Study (GWAS) summary statistics of 207 taxa of gut microbes (the Dutch Microbiome Project) and 21 risk factors for DR. The GWAS summary statistics data of DR was from the FinnGen Research Project. Data analysis was performed in May 2023. We identified eight bacterial taxa that exhibited significant causal associations with DR (FDR < 0.05). Among them, genus Collinsella and species Collinsella aerofaciens were associated with increased risk of DR, while the species Bacteroides faecis, Burkholderiales bacterium_1_1_47, Ruminococcus torques, Streptococcus salivarius, genus Burkholderiales_noname and family Burkholderiales_noname showed protective effects against DR. Notably, we found that the causal effect of species Streptococcus salivarius on DR was mediated through the level of host fasting glucose, a well‐established risk factor for DR. Our results reveal that specific gut microbes may be causally linked to DR via mediating host metabolic risk factors, highlighting potential novel therapeutic or preventive targets for DR. [ABSTRACT FROM AUTHOR]

Introduction: the majority of studies in Ethiopia determine the prevalence of glycemic control employed by fasting blood sugar (FBS), which is impacted by a variety of factors. Hence, the purpose of this study was to assess the status of glycemic control using HbA1c and its correlates in patients with type 2 diabetes in Southwest Ethiopia. Methods: a cross-sectional study was employed among 124 T2 diabetes mellitus (DM) patients at Jimma Medical Center (JMC), Southwest Ethiopia. HbA1c and FBS were estimated using the Cobas 6000 analyzer. The body mass index (BMI) and waist-to-hip ratio were calculated as the standard formula. Data were analyzed by SPSS version 25. Logistic regression analysis was employed to identify independent risk factors associated with poor glycemic control of DM patients. Results: males comprised 63.7% (n=79) of the total respondents. The mean age of aOR: 2.21, 95% CI 1.13, 4.34; p = 0.01f participants was 51.84 ± 11.6 years; 60.5% (n=75) of T2 DM patients were in poor glycemic control (HbA1c = 7%). In multivariate logistic regression analysis, BMI of = 30, (aOR: 2.21, 95% CI 1.13, 4.34) increased waist-to-hip ratio (aOR: 1.63, 95% CI 0.82, 2.18), high systolic blood pressure (aOR: 1.52, 95% CI 1.11, 6.23), high FBS (aOR: 1.61, 95% CI 1.00, 4.12), and longer duration of DM (aOR: 1.23, 95% CI 0.87, 1.88) were associated with poor glycemic control. Conclusion: the level of poor glycemic control in the study population is high. Obesity and/or overweight, central obesity, systolic hypertension, and fasting blood sugar levels were all associated with poor glycemic control in T2 DM patients. [ABSTRACT FROM AUTHOR]

Objectives: Periodontitis is a non-communicable disease (NCD) that may be linked to other NCDs through shared risk factors. Accordingly, we analyzed the relationship between periodontitis and behavioral and metabolic risks common to NCDs in Brazilian adults over three decades. Methods: Indicators of periodontitis, behavioral risks (smoking, alcohol use, sugar-sweetened beverages (SSB), and physical activity), and metabolic risks (overweight/obesity, dyslipidemia, hyperglycemia, and hypertension) in Brazilian adults (25–49 y-old) between 1990 to 2019 were obtained from the Global Burden of Disease Study 2019. Data were adjusted for Gini index. Fixed-effects and Prais-Winsten regressions were performed (p < 0.05). Results: The prevalence of periodontitis has increased among Brazilians since 2005. High-SSB diet, alcohol use, and metabolic risks increased between 1990–2019, whereas smoking decreased. In crude models, periodontitis prevalence increased with alcohol use (2545.1; 95%CI: 2307.9–2782.3), high-SSB diet (365.5; 95%CI: 322.5–408.4), low physical activity (1784.4; 95%CI: 763.7–2805.0), overweight/obesity (172.3; 95%CI: 156.3–188.4), dyslipidemia (734.5; 95%CI: 624.7–844.2), and hyperglycemia (1774.3; 95%CI: 1555.9–1992.7). After adjustment for the Gini index, periodontitis prevalence raised with a high-SBB diet (1416.0; 95%CI: 1120.2–1711.8), overweight/obesity (629.9; 95%CI: 573.1–686.8), dyslipidemia (2035.8; 95%CI: 1728.1–2343.5), and hyperglycemia (8918.1; 95%CI: 7979.8–9856.3). Conclusions: Periodontitis has increased in Brazil since 2005, despite the smoking reduction. Sugar-sweetened beverage was the behavioral risk that mostly accompanied the periodontal trend. Clinical relevance: Our results support upstream strategies targeting commercial, social, political, and structural determinants to tackle NCDs and reduce oral health inequities. [ABSTRACT FROM AUTHOR]

Copyright of Il Cesalpino is the property of Ordine Provinciale dei Medici Chirurghi e degli Odontoiatri di Arezzo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Nutrición Clínica y Dietética Hospitalaria is the property of Sociedad Espanola de Dietetica y Ciencias de la Alimentacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Study objectives: To determine if metabolic risk factors are associated with poor sleep quality and obstructive sleep apnea–like symptoms (OSA symptoms) independent of psychosocial problems and demographic and lifestyle factors in older Indian adults. Methodology: We analyzed baseline data from adults (≥ 50 years) from a population-based cohort, the LoCARPoN study, in India. Variables were grouped as (a) demographic and lifestyle factors such as smoking, alcohol use, and physical activity; (b) psychosocial problems including symptoms of depression, anxiety, and perceived stress; and (c) metabolic risk factors including glycated hemoglobin, high-density lipoprotein, low-density lipoprotein, total cholesterol, body mass index, and hypertension. Variables were examined as predictors of poor sleep quality and OSA symptoms. Groups of variables were added stepwise to a logistic regression. Variance explained by nested models was quantified using McFadden's pseudo R2, and change was formally tested with the log-likelihood ratio test. Results: Among 7505 adults, the prevalence of poor sleep quality was 16.9% (95% CI: 16.0, 17.7), and OSA symptoms were present in 7.0% (95% CI: 6.4, 7.6). Psychosocial problems had a strong independent association with both poor sleep quality (pseudo R2 increased from 0.10 to 0.15, p < 0.001) and more OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). Metabolic risk factors had a modest independent association with sleep quality (pseudo R2 increased from 0.14 to 0.15, p < 0.01), but a strong association with OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). Conclusion: Psychosocial and metabolic risk factors were independently associated with sleep quality and OSA symptoms. This fact implied that OSA symptoms may affect both mental health and physical health. Our findings have public health implications because the number and proportion of the elderly in India is increasing, while the prevalence of metabolic risk factors and psychosocial problems is high already. These facts have the potential to exacerbate not only the burden of sleep disorders and OSA symptoms but also associated cardiovascular and neurologic sequelae, further stretching the Indian health-care system. [ABSTRACT FROM AUTHOR]

In this study, we aimed to determine the association between health literacy and the development of cardiovascular diseases (CVDs), among an older population. This cross-sectional study was conducted among Japanese health management specialists (N = 593). Higher levels (communicative and critical) of health literacy and CVD risk factors (diabetes mellitus, hypertension, dyslipidemia, and obesity) were measured. The mean patient age was 71.3 years. Logistic regression analyses showed statistically significant associations between higher levels of health literacy and the prevalence of CVDs (β coefficient = −.091, p <.05) and metabolic risk factors (β coefficient = −.084, p <.01). There was a statistically significant association between health literacy and the count of CVDs (and its risk factors) (β coefficients of Poisson regression = −.036, p <.05). The results show health literacy to be fundamentally related to low prevalence of cardiovascular diseases and their associated metabolic risk factors. [ABSTRACT FROM AUTHOR]

Background: Both low‐carbohydrate (LC) and calorie-restricted (CR) diets have been shown to have metabolic benefits. However, the two regimens have yet to be thoroughly compared. We conducted a 12-week randomized trial to compare the effects of these diets separately and in combination on both weight loss and metabolic risk factors in overweight/obese individuals. Methods: A total of 302 participants were randomized to LC diet (n = 76), CR diet (n = 75), LC + CR diet (n = 76), or normal control (NC) diet (n = 75) using a computer-based random number generator. The primary outcome was the change in body mass index (BMI). The secondary outcomes included body weight, waist circumference, waist-to-hip ratio, body fat, and metabolic risk factors. All participants attended health education sessions during the trial. Results: A total of 298 participants were analyzed. BMI change over 12 weeks was − 0.6 (95% CI, − 0.8 to − 0.3) kg/m2 in NC, − 1.3 (95% CI, − 1.5 to − 1.1) kg/m2 in CR, − 2.3 (95% CI, − 2.6 to − 2.1) kg/m2 in LC, and − 2.9 (95% CI, − 3.2 to − 2.6) kg/m2 in LC + CR. LC + CR diet was more effective than LC or CR diet alone at reducing BMI (P = 0.001 and P < 0.001, respectively). Furthermore, compared with the CR diet, the LC + CR diet and LC diet further reduced body weight, waist circumference, and body fat. Serum triglycerides were significantly reduced in the LC + CR diet group compared with the LC or CR diet alone. Plasma glucose, homeostasis model assessment of insulin resistance, and cholesterol concentrations (total, LDL, and HDL) did not change significantly between the groups during the 12-week intervention. Conclusions: The reduction of carbohydrate intake without restricting caloric intake is more potent to achieve weight loss over 12 weeks when compared to a calorie-restricted diet in overweight/obese adults. The combination of restricting carbohydrate and total calorie intake may augment the beneficial effects of reducing BMI, body weight, and metabolic risk factors among overweight/obese individuals. Trial registration: The study was approved by the institutional review board of Zhujiang Hospital of Southern Medical University and registered at the China Clinical Trial Registration Center (registration number: ChiCTR1800015156). [ABSTRACT FROM AUTHOR]

Copyright of Practical Oncology Journal is the property of Journal of Practical Oncology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Acne vulgaris is one of the most common inflammatory skin diseases, but there are few studies of adult acne and its association with general health. The aim of this study was to examine the prevalence and clinical characteristics of adult acne at the population level among 1,932 subjects belonging to the Northern Finland Birth Cohort 1966 Study. In addition, cardiovascular and metabolic profiles of acne cases and their controls were analysed. The prevalence of adult acne was 7.9% (n=150) with no statistical difference between the sexes. The majority of subjects presented with papulopustular acne (77.1%). Comedo acne (10.8% of all subjects) was more common in females than in males (p<0.005). Males with acne had more abnormality in their metabolic factors than did acne-free controls; plasma glucose and insulin levels at 60 min after the 75 g glucose load were higher in males with acne than in controls (p<0.01 for both). Corresponding associations were not seen in females. In conclusion, adult acne is common in middle-age, presenting a slightly different clinical picture in females than in males. In addition, male subjects with acne may have a higher risk of metabolic disturbances than do controls, and thus, comprehensive evaluation of patients with adult acne is needed. [ABSTRACT FROM AUTHOR]

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background and aims: The presence of perioperative diabetes may lead to increased mortality risks following liver transplant (LT) in patients with non-alcoholic steatohepatitis (NASH). This risk factor was evaluated using a UNOS-STAR national database. Methods: The UNOS-STAR liver transplant registry 2005–2019 was used to select patients with NASH (including cryptogenic liver disease). The following populations were excluded: those younger than 18 years old and those with living donors/dual transplants. Selected patients were stratified into those with and without pre-LT diabetes and compared to the individual mortality endpoints using iterative Cox analyses. Results: 6324 recipients with and 8251 without diabetes were selected. The median follow-up time was 3.07 years. Those with diabetes were older (58.50 vs. 54.50 years, p < 0.001), were more likely to be Hispanic or Asian, and had higher BMI than the non-diabetics (31.10 vs. 29.70 kg/m2p < 0.001); however, there was no difference in gender (female 41.9 vs. 43.1% p = 0.170). Compared to non-diabetics, recipients with diabetes had a higher rate of all-cause mortality (61.68 vs. 47.80 per 1000 person-years). In multivariate iterations, pre-LT diabetes was associated with all-cause mortality (aHR 1.19 95% CI 1.11–1.27) as well as deaths due to cardiac (p = 0.014 aHR 1.24 95% CI 1.04–1.46) and renal causes (p = 0.039 aHR 1.38 95% CI 1.02–1.87). Conclusion: The presence of pre-LT diabetes is associated with all-cause mortality and deaths due to cardiac and renal causes following LT. The findings warrant an early preoperative screening procedure to ensure that patients with diabetes have their metabolic risk factors optimized prior to LT. [ABSTRACT FROM AUTHOR]

BACKGROUND: Patients in psychiatric inpatient settings are at increased risk of developing physical health complications due to the structure of inpatient wards, the metabolic side-effects of antipsychotic medications and socioeconomic factors. Robust physical health monitoring and interventions are paramount in reducing this health inequality. OBJECTIVE: To improve the quality of physical health interventions in the ward environment and empower patients to follow healthy lifestyle guidance to reduce their risk of metabolic syndrome. METHODS: Patient weight and waist circumference data were collected at baseline and weekly throughout the 8-week intervention period. A questionnaire was recorded from baseline to week-5 to assess patient understanding. Two Plan-Do-Study-Act (PDSA) cycles were completed: (1) Series of weekly psychoeducation sessions and group exercise and (2) Implementation of healthy living diaries. RESULTS: Our data did not demonstrate any definitive impact upon the waist circumference and weight of participants. However, analysis of the questionnaires showed a consistent trend in knowledge improvement. CONCLUSION: Whilst our aim of reducing patient weight and waist circumference was not realised, there was a significant impact on participant's knowledge, demonstrating a subjective benefit of our interventions. Our project also highlighted inconsistencies in physical health measurements and data collection, providing vital information for further quality improvement measures. [ABSTRACT FROM AUTHOR]

The Brazil nut (BN) is a promising food due to its numerous health benefits, but it is still necessary to systematically review the scientific evidence on these benefits. Thus, we examined the effects of regular BN consumption on health markers in humans according to the health state (with specific diseases or not) of the subjects. PubMed, Embase®, and Scielo databases were used to search for clinical trials. The PRISMA guideline was used to report the review, and the risk of bias for all studies was assessed. Twenty-four studies were included in the present review, of which fifteen were non-randomized. BNs were consumed in the context of a habitual free-living diet in all studies. Improvement in antioxidant status through increased levels of selenium and/or glutathione peroxidase activity in plasma, serum, whole blood, and/or erythrocytes was observed in all studies that evaluated antioxidant status, regardless of the health state of the sample. In addition, healthy subjects improved lipid markers and fasting glucose. Subjects with obesity had improvement in markers of lipid metabolism. Subjects with type 2 diabetes mellitus or dyslipidemia improved oxidative stress or DNA damage. Subjects undergoing hemodialysis benefited greatly from BN consumption, as they improved lipid profile markers, oxidative stress, inflammation, and thyroid function. Older adults with mild cognitive impairment improved verbal fluency and constructional praxis, and controversial results regarding the change in a marker of lipid peroxidation were observed in subjects with coronary artery disease. In conclusion, the benefits of BN consumption were found in different pathways of action and study populations. [ABSTRACT FROM AUTHOR]

Introduction: The most fearful outcome of metabolic syndrome is cardiovascular events leading to morbidity and mortality. Q risk2 score was developed by physicians working in UK National Health Service to estimates the risk of cardiovascular disease incidence over the next 10 years. Qrisk2 score <10% indicates mild risk, 10-20-% moderate risk, >20% high risk of CVD. MRF are progressive inflammatory processes leading to rise in serum hsCRP and depletion of GSH, indicating increased oxidative stress which has been associated with higher risk of CVD. Therefore, this study has been designed to study the association of QRISK2 score with oxidative stress in apparently healthy adults at metabolic risk. Material and Methodology: Subjects of both genders, age between 25 to 45 years were enrolled as per inclusion & exclusion criteria and detailed clinical history was taken. All candidates were subjected to Anthropometry (height, weight, BMI, Waist Circumference), BP measurements, lipid profile, GSH, hsCRP and fasting blood sugar. Qrisk2 score was calculated by online calculator (https://qrisk.org/2017/) All subjects were screened for metabolic risk factors (MRF). Subjects without any MRF were put into Group A and those with any MRF were kept in Group B. All recruited subjects were divided into low-risk group (Qrisk2 score <10%) & highrisk group (Qrisk2 score >10%). Then, various components of metabolic syndrome and oxidative stress will be compared in both groups. Results: In this study, weight, BMI, BP, TG, LDL, total cholesterol, fasting blood sugar, GSH and hsCRP was statistically significantly higher in subjects with MRF. Smoking, diabetes, HTN and obesity was more common in high Qrisk2 score group (Qrisk2 score >10). Systolic BP was statistically significantly higher in high Qrisk2 score group but difference in diastolic BP was not statistically significant. TG, LDL, total cholesterol, fasting blood sugar, serum GSH and hsCRP was statistically higher in high Qrisk2 score group whereas, HDL was statistically significantly lower. Conclusion: Smoking, diabetes, HTN and obesity increases the future risk of CVD and systolic BP is more important than diastolic BP. We also observed high Qrisk 2 score is associated with increased oxidative stress. [ABSTRACT FROM AUTHOR]

Background: The Kin-Antwerp project aimed at improving the quality of care provided to patients with diabetes in Kinshasa, the Democratic Republic of the Congo in Central Africa, including the digitalisation of routine clinical data to improve patients' follow-up. We aim to analyse the data of a study population of Kin-Antwerp to characterise their demographic features, assess their achievement of glycemic target over time, and identify groups requiring prioritised attention. Methods: We performed a secondary database analysis of routinely collected information from primary care patients with type 2 diabetes followed from 1991 to 2019. Data included demographics (age, sex), anthropometrics (weight, height), clinical parameters (blood pressure, plasma glucose), and anti-diabetic treatments. Achievement of glycemic target, defined as fasting plasma glucose < 126 mg/dL, over time was assessed using a multilevel mixed-effects logistic regression model. Results: Our study population of patients with type 2 diabetes (N = 8976) comprised a higher proportion of women (67%) and patients between 40 and 65 years old (70.4%). At the first follow-up, most patients were on treatment with insulin (56.5%) and had glycemic levels under the target (79.9%). Women presented more often with obesity (27.4%) and high systolic blood pressure (41.8%) than men (8.6% and 37.0%, respectively). Patients had a median follow-up of 1.8 (interquartile range: 0.5–3.4) years. Overall, the odds of achieving glycemic target increased by 18.4% (odds ratio: 1.184, 95% CI: 1.130 to 1.239; p < 0.001) per year of follow-up. Stratified analyses suggested that the odds of achieving glycemic control over time increased among older patients (> 40 years), but not among younger patients (< 40 years). Conclusion: In our study population, an overall poor glycemic control was observed albeit with a modest improvement in the achievement of glycemic target throughout patients' follow-up. Younger patients may benefit from prioritised attention to achieve glycemic targets. Based on the information provided by the database, continue monitoring and improvement of the project Kin-Antwerp is recommended. Introducing further efforts to improve type 2 diabetes management should include robust glycemia-monitoring tools and haemoglobin A1c, as well as further outlining self-management strategies. [ABSTRACT FROM AUTHOR]

Background: The Kin-Antwerp project aimed at improving the quality of care provided to patients with diabetes in Kinshasa, the Democratic Republic of the Congo in Central Africa, including the digitalisation of routine clinical data to improve patients' follow-up. We aim to analyse the data of a study population of Kin-Antwerp to characterise their demographic features, assess their achievement of glycemic target over time, and identify groups requiring prioritised attention.Methods: We performed a secondary database analysis of routinely collected information from primary care patients with type 2 diabetes followed from 1991 to 2019. Data included demographics (age, sex), anthropometrics (weight, height), clinical parameters (blood pressure, plasma glucose), and anti-diabetic treatments. Achievement of glycemic target, defined as fasting plasma glucose < 126 mg/dL, over time was assessed using a multilevel mixed-effects logistic regression model.Results: Our study population of patients with type 2 diabetes (N = 8976) comprised a higher proportion of women (67%) and patients between 40 and 65 years old (70.4%). At the first follow-up, most patients were on treatment with insulin (56.5%) and had glycemic levels under the target (79.9%). Women presented more often with obesity (27.4%) and high systolic blood pressure (41.8%) than men (8.6% and 37.0%, respectively). Patients had a median follow-up of 1.8 (interquartile range: 0.5-3.4) years. Overall, the odds of achieving glycemic target increased by 18.4% (odds ratio: 1.184, 95% CI: 1.130 to 1.239; p < 0.001) per year of follow-up. Stratified analyses suggested that the odds of achieving glycemic control over time increased among older patients (> 40 years), but not among younger patients (< 40 years).Conclusion: In our study population, an overall poor glycemic control was observed albeit with a modest improvement in the achievement of glycemic target throughout patients' follow-up. Younger patients may benefit from prioritised attention to achieve glycemic targets. Based on the information provided by the database, continue monitoring and improvement of the project Kin-Antwerp is recommended. Introducing further efforts to improve type 2 diabetes management should include robust glycemia-monitoring tools and haemoglobin A1c, as well as further outlining self-management strategies. [ABSTRACT FROM AUTHOR]

Background. Insulin resistance is the major sign of etiology and pathogenesis of type 2 diabetes mellitus and metabolic syndrome and can precede its development for many years. Early identifying the beginning of insulin resistance in children is important to prevent diabetes mellitus in adult life. The purpose was to identify metabolic and somatic changes in children with insulin resistance. Material and methods. Out of 182 children of the general sample, who was estimated fasting plasma insulin and glucose, HOMA-IR, and glucose/insulin ratio, 2 groups were formed: group 1 — children with IR — 56 (30.8 %) and group 2 — 126 (69.2 %) children with normal insulin sensitivity. In children anthropometric data, lipid metabolism (total cholesterol, triglycerides, HDL-C, LDL-C, VLDL-C), blood pressure, leptin were determined. Results. From examined subjects 56 children were generally obese (BMI > 95th percentile), 71 children were abdominally obese (WC > 90th percentile), 55 children were with normal body mass (BMI < 90th percentile). Insulin resistance was identified in 21 (37.5 %) children with general obesity more rarely, than in 38 (39.4 %) children with abdominal obesity (p = .049) and in 7 (12.7 %) children with normal BMI (p = .003). In insulin-resistant children BMI, waist and hip circumference was larger than in children with normal insulin sensitivity. The lipid profile in children with different insulin sensitivity did not differ, but in insulin-resistant children an association of basal glucose with TG/HDL-C ratio (r = .53; p = .001), blood insulin with TG (r = .34; p = .018), and TG/HDL-C ratio (r = .54; p = .001) was estimated. The HOMA-IR significantly correlated with VLD-C (r = .40; p = .005), TG (r = .49; p = .001), TG/HDL-C ratio (r = .43; p = .002). The glucose/insulin ratio was in significant association with the TG/non-HDL-C ratio. The incidence of hypetension (> 95th percentile) diagnosis in insulin-resistant children was by 33.8 % higher (p = .001). Blood leptin concentration was 1.8 falled higher in insulin-resistant children and significantly correlates with waist circumference, fasting insulin, HOMA-IR, and diastolic blood pressure. Conclusions. Insulin resistance is related to cardiometabolic risks, such as general and abdominal obesity, hypertension, dyslipidemia, hyperleptinemia, and leptin resistance, and is a screening biomarker for children and adolescents with an increased risk of cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Background: Chronic kidney disease (CKD) has become a worldwide health problem among aging populations. However, epidemiological information on Chinese elderly people with CKD is still lacking. This study aimed to investigate the epidemiological features and associated risk factors of CKD in aging population in China. Methods: In this cross-sectional study, a total of 37,533 individuals aged ≥ 65 years were enrolled in Binhai from January to December 2018. The crude and standardized prevalence of CKD were calculated. Associations of metabolism-related indicators with CKD were examined using univariate and multivariate analyses. Results: The overall prevalence of CKD was 17.7% (95% confidence interval 17.3–18.1%) in this Chinese elderly population. The prevalence was 17.5% among men (95% CI 17.0–18.1%) and 17.8% among women (95% CI 17.3–18.4%). The mean eGFR was 84.22 (SD ± 12.87) mL/min/1.73 m2, with the median value higher for women than for men. Conclusion: Our study shows a high prevalence of CKD among Chinese elderly population. Aging, pre-HTN, HTN, elevated triglyceride, and FBG were associated with the risk of CKD. More attention should be paid to metabolic diseases to prevent CKD in the elderly. [ABSTRACT FROM AUTHOR]

The article discusses the effect of honey on lipid profiles.

Diet plays a major role in the aetiopathogenesis of many neurological diseases and may exacerbate their symptoms by inducing the occurrence of metabolic disorders. The results of research on the role of diet in the course of multiple sclerosis (MS) are ambiguous, and there is still no consensus concerning dietary recommendations for patients with MS. The aim of this study was to analyse the dietary patterns (DPs) of patients with MS and to assess the relationships between these DPs and the metabolic disorders. The study participants were comprised of 330 patients aged 41.9 ± 10.8 years. A survey questionnaire was used to collect data related to diet, lifestyle and health. The DPs were identified using a principal component analysis (PCA). Three DPs were identified: Traditional Polish, Prudent and Fast Food & Convenience Food. An analysis of the odds ratios adjusted for age, gender, smoking and education showed that a patient's adherence to the Traditional Polish and the Fast Food & Convenience Food DPs increased the likelihood of abdominal obesity and low HDL-cholesterol concentration. Conversely, adherence to the Prudent DP was not significantly associated with any metabolic disorder. The results of this study confirmed that an unhealthy diet in patients with MS is connected with the presence of some metabolic risk factors. There is also an urgent need to educate patients with MS on healthy eating, because the appropriate modifications to their diet may improve their metabolic profile and clinical outcomes. [ABSTRACT FROM AUTHOR]

Purpose: Insomnia is frequently co-morbid with obstructive sleep apnea (OSA); the effect of insomnia or co-morbid insomnia and OSA (OSA + I) on associated metabolic outcomes in adults with type 2 diabetes (T2D) remains unclear. This study in adults with T2D compared metabolic outcomes among persons with OSA, insomnia, or OSA + I. Methods: This study analyzed baseline data from the Diabetes Sleep Treatment Trial of persons recruited for symptoms of OSA or poor sleep quality. Home sleep studies determined OSA presence and severity. Insomnia was evaluated using the Insomnia Severity Index. Height and weight to calculate body mass index (BMI) and blood for laboratory values were obtained. Multivariate general linear models were used to examine the impact of the type of sleep disorder and sociodemographic, lifestyle, and sleep risk factors on metabolic outcomes. Results: Participants (N = 253) were middle-aged (56.3 ± 10.5 years), white (60.5%), obese (mean BMI of 35.3 ± 7.1 kg/m2), and male (51.4%) with poor glucose control (mean HbA1c of 8.0 ± 1.8%). Most participants had OSA + I (42.7%) or insomnia only (41.0%). HbA1c and BMI differed among the sleep disorder groups. In addition, in the adjusted models, having insomnia only, compared to OSA only, was associated on average with higher HbA1c levels (b = 1.08 ± 0.40, p < 0.007) and lower BMI (b = − 7.03 ± 1.43, p < 0.001). Conclusions: Findings suggest that insomnia frequently co-exists with OSA, is independently associated with metabolic outcomes in adults with T2D, and should be considered in investigations of the effects of OSA in persons with T2D. Trial registration: Diabetes-Obstructive Sleep Apnea Treatment Trial (NCT01901055), https: Clinicaltrials.gov/ct2/show/NCT01901055; Registration date: July 17, 2013. [ABSTRACT FROM AUTHOR]

Copyright of Psihiatru.ro is the property of MEDICHUB MEDIA, S.R.L. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Diabetes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To investigate the cross-sectional association between depressive symptoms and metabolic risk factors with cognitive function in a middle-aged population. A stratified subsample of the CARTaGENE (CaG) cohort (n = 1991) was used to compare cognitive function outcomes between groups. The stratification was based on the presence of depressive symptoms and metabolic dysregulation (MetD): the presence of a) neither condition (reference group); b) MetD only; c) depressive symptoms only; and d) both depressive symptoms and MetD. Individuals with type 2 diabetes were excluded. Three cognitive domains were assessed: processing speed, episodic memory, and executive function. An overall cognitive function score, standardized for age and education, was computed. Poor cognitive function was defined as the lower quartile of the overall cognitive function distribution. Linear and logistic regression analyses were conducted. The poorest cognitive performance was observed in the group with both depressive symptoms and MetD, followed by the group with depressive symptoms only, then the group with MetD only and the reference group. Mean (SD) overall cognition scores for the four groups were −0.25 (1.13), −0.13 (1.05), 0.11 (0.90), and 0.15 (0.93), respectively. Linear regression analyses suggested a linear increase in cognitive function across groups. In the logistic regression analyses, the highest risk of poor cognitive function was observed in the comorbid (depressive symptoms and MetD) group (adjusted OR = 1.99, 95% CI 1.46, 2.71). Comorbidity of depressive symptoms and MetD was associated with reduced cognitive performance in middle-aged adults without diabetes. Poor cognitive function is a major public health concern and can be potentially prevented by targeting its modifiable risk factors. Metabolic dysregulation and depression have both been independently associated with poor cognitive function. Comorbidity of metabolic dysregulation and depressive symptoms is associated with an increased risk of poor cognitive function in middle-aged individuals. Future health interventions might benefit by screening for comorbidity in patients with poor cognitive function and by targeting depression and metabolic dysregulation together. [ABSTRACT FROM AUTHOR]

Herbal medicine is widely prescribed worldwide. To date, however, studies on the prediction of efficacy of herbal medicine based on machine learning have very rarely been reported. The objectives of this study are to predict the efficacy of Taeumjowi-tang (one of herbal medicines) and evaluate the prediction model in treating metabolic abnormalities. Subjects were divided into an improvement group and a non-improvement group based on the difference before and after oral administration of an herbal medicine. Efficacy models of triglyceride level, high-density lipoprotein (HDL) cholesterol level, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were built using a least absolute shrinkage and selection operator (LASSO) based on variables extracted from face shape, face colors, body circumference, questionnaire, voice, and tongue color. In predicting efficacy for four metabolic risk factors, the efficacy model of HDL cholesterol level showed the best the area under the receiver operating characteristic curve (AUC) value among the four models (AUC = 0.785 (confidence interval = 0.693, 0.877)). The AUC value of the efficacy model of triglyceride level was 0.659 (0.551, 0.768). Efficacy models of DBP and SBP showed AUC values of 0.665 (0.551, 0.78) and 0.54 (0.385, 0.694), respectively. The results may provide a clue to predict whether a drug will be effective for each subject with phenotypic information and to reduce the use of an ineffective drug or its side effects. [ABSTRACT FROM AUTHOR]

Objectives: The accelerated shedding of extracellular domains of syndecan‐4 (SDC4) is associated with central obesity and insulin resistance, while the association between serum SDC4 and nonalcoholic fatty liver disease (NAFLD) is unknown. We aimed to examine the association between SDC4 and NAFLD. Methods: Adults undergoing a health examination from 1 June 2019 to 31 December 2019 were enrolled. A diagnosis of NAFLD was made with an abdominal ultrasound. Logistic regression models and the receiver operating characteristic (ROC) curves were used to evaluate the role of SDC4 in predicting NAFLD. Results: In total, 533 eligible participants were finally enrolled, among them 157 (29.46%) had NAFLD. The proportion of patients with NAFLD increased with the increasing quartiles of serum SDC4. With the increase of serum SDC4 levels, metabolic features including waist circumference, serum triglyceride, total cholesterol, fasting blood glucose, fasting insulin and homeostasis model assessment of insulin resistance were significantly increased. SDC4 was an independent factor for NAFLD (odds ratio 1.963, 95% confidence interval [CI] 1.628‐2.367, P < 0.001). The area under the ROC curve of SDC4 for predicting NAFLD was 0.934 (95% CI 0.910‐0.959). The optimal cut‐off value was 6.575 ng/mL at Youden's index of 0.767. SDC4 had the highest diagnostic sensitivity (84.1%), positive predictive value (82.5%), negative predictive value (93.3%) and positive likelihood ratio (11.356) among all the variables. Conclusions: Elevated serum SDC4 level is associated with metabolic disorders and the prevalence of NAFLD among general population. Serum SDC4 may serve as a biomarker of NAFLD. [ABSTRACT FROM AUTHOR]

Background Metabolic risk factors have been shown to be associated with severe liver disease (SLD) in Chinese populations. However, there is limited evidence on the combined impact of these factors, or the genetic variants associated with SLD. Objectives We examined the associations of combined metabolic risk factors with risks of SLD, both overall and by genetic predisposition to SLD. Methods The study population involved 486,828 participants of the prospective China Kadoorie Biobank aged 30–79 years from 10 diverse areas in China without a history of cancer or liver disease at baseline. Cox regression was used to estimate adjusted HRs for SLD associated with combined metabolic risk factors (central adiposity, physical inactivity, and diabetes) by stratum of genetic risk [assessed separately by a PNPLA3 variant (rs738409) and a BMI genetic risk score]. Results During ∼10 years of follow-up, 3279 incident cases of SLD were recorded. The overall mean BMI was 23.8 kg/m2 (SD, 3.4 kg/m2), and 5.9% participants had diabetes. Compared with those with 3 metabolic factors, participants with 2, 1, and 0 metabolic factors had 31% (HR, 0.69; 95% CI: 0.65–0.73), 43% (HR, 0.57; 95% CI: 0.53–0.60), and 52% (HR, 0.48; 95% CI: 0.42–0.56) lower risks of SLD, respectively. For both BMI and nonalcoholic fatty liver disease variants, participants with fewer metabolic factors had a lower risk of SLD, lower levels of gamma-glutamyl transferase, and lower fatty liver index scores, in participants with low and high genetic risks (P value for interaction > 0.05). Conclusions In relatively lean Chinese adults, individuals with fewer metabolic risk factors had a lower relative risk of SLD and a more favorable profile of liver biomarkers across all strata of genetic risk. [ABSTRACT FROM AUTHOR]

This study investigated the effects of a four-week HIIT intervention on the cardiometabolic risk profile, liver fat content, insulin requirement, hypoglycaemia, physical fitness, and health-related quality of life in patients with T1DM. A supervised exercise intervention with baseline to follow-up comparison between overweight (BMI = 28.6 ± 2.1 kg/m2) and normal weight (BMI = 23.2 ± 1.40 kg/m2) T1DM patients was performed. Eleven overweight (age = 40.7 ± 14.3 years) and 11 normal weight (age = 42.2 ± 15.5 years) T1DM patients performed a four-week, low-volume, all-out cycling HIIT (4–6 bouts, work/relief ratio 1:1) twice weekly. HIIT lowered low-density lipoprotein and uric acid levels in overweight patients by up to 10.5% (vs. normal weight, p≤0.0312). HbA1c, high-density lipoprotein, and triglyceride levels did not change in any of the groups. Participants' maximal exercise capacity and power output at individual anaerobic lactate threshold increased to an equal extend of up to 10% (p≤0.0002) in both groups. During the intervention, participants used fewer daily bolus insulin (−5.22 ± 12.80%) and less total units of insulin (−4.42 ± 10.20%, p≤0.023) compared to the pre-intervention period with no between-group difference. Overall, the average daily number of hypoglycaemias increased from 0.90 ± 0.56–1.08 ± 0.63 during the intervention (p = 0.033). SF-36 subscales showed higher scores after the intervention, with a significant improvement of "role limitations due to physical problems" (p<0.05) for both groups. We conclude that in T1DM, HIIT may exert beneficial effects on physical fitness, insulin requirement and health-related quality of life. Of note, beneficial HIIT effects on the cardiometabolic risk profile in T1DM may be larger in overweight T1DM patients. [ABSTRACT FROM AUTHOR]

Introduction: The left atrial (LA) strain and strain rate are sensitive indicators of LA function. However, they are not widely used for the evaluation of pregnant women with metabolic diseases. The aim of this study was to assess the LA strain and strain rate of pregnant women with clustering of metabolic risk factors and to explore its prognostic effect on adverse pregnancy outcomes.Materials and Methods: Sixty-three pregnant women with a clustering of metabolic risk factors (CMR group), fifty-seven women with pregnancy-induced hypertension (PIH group), fifty-seven women with gestational diabetes mellitus (GDM group), and fifty matched healthy pregnant women (control group) were retrospectively evaluated. LA function was evaluated with two-dimensional speckle-tracking imaging. Iatrogenic preterm delivery caused by severe preeclampsia, placental abruption, and fetal distress was regarded as the primary adverse outcome.Results: The CMR group showed the lowest LA strain during reservoir phase (LASr), strain during contraction phase (LASct) and peak strain rate during conduit phase (pLASRcd) among the three groups (P < 0.05). LA strain during conduit phase (LAScd) and peak strain rate during reservoir phase (pLASRr) in the CMR group were lower than those in the control and GDM groups (P < 0.05). Multivariable Cox regression analysis demonstrated systolic blood pressure (HR = 1.03, 95% CI 1.01-1.05, p = 0.001) and LASr (HR = 0.86, 95% CI 0.80-0.92, p < 0.0001) to be independent predictors of iatrogenic preterm delivery. An LASr cutoff value ≤ 38.35% predicted the occurrence of iatrogenic preterm delivery.Conclusions: LA mechanical function in pregnant women with metabolic aggregation is deteriorated. An LASr value of 38.35% or less may indicate the occurrence of adverse pregnancy outcomes. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular risk factors in Chinese ethnic minority groups are rarely reported.Objective: To quantify the cardiovascular risk factors in Miao Chinese adults and to examine the association of health behaviors and metabolic risk factors with dyslipidemia.Methods: A cross-sectional analysis was conducted using baseline data from the China Multi-Ethnic Cohort (CMEC) study. A representative sample of 5559 Miao participants aged 30 to 79 years were surveyed and given physical and laboratory exams. The proportion of behavioral and metabolic risk factors were described in ethnic Miao adults. Logistic regression was utilized to evaluate the odds ratio (OR) and 95% confidence interval (CI) of the association between health behaviors and metabolic risk factors with dyslipidemia.Results: In Miao Chinese adults, the prevalence of dyslipidemia was 32.8%. After multivariate adjustment, subjects with poor waist-to-hip ratio (WHR), body mass index (BMI), fasting blood glucose (FBG) and blood pressure (BP) were more likely to have higher risk of triglycerides (TG) abnormality, regardless of gender and age. Furthermore, the strongly association was detected between poor WHR and low density lipoprotein cholesterol (LDL-C) abnormality (adjusted OR = 5.24, 95%CI: 2.42-11.34) in the older subgroup (≥ 60 years). Males who current smoking were an independent risk factor only for high density lipoprotein cholesterol (HDL-C) abnormality (adjusted OR = 1.44, 95%CI: 1.05-1.99). However, in the subgroup age, current smoker were at greater risk of high TG and low HDL-C. Males with regular drinking were less likely to be high LDL-C (adjusted OR = 0.51, 95%CI: 0.32-0.81).Conclusions: The present findings indicated that Miao adults with metabolic risk factors were at greater risk of dyslipidemia. [ABSTRACT FROM AUTHOR]

Objective: To examine trends in effective medical treatment coverage for hypertension, diabetes and dyslipidaemia in Japan, using a metric to assess effective coverage of health interventions derived from a health system performance assessment framework. Methods: We obtained cross-sectional data for 96,863 individuals aged 40–74 years from the 15 annual Japanese National Health and Nutrition Surveys (2003–2017). We defined treatment need for hypertension, diabetes and dyslipidaemia as biomarkers equal to or greater than diagnostic thresholds or medication use. For individuals needing treatment, we conducted nearest-neighbour matching to estimate treatment effects and effective coverage, defined as the fraction of potential reductions in biomarkers actually achieved in treated individuals by medications. Results: The age-standardized prevalence of treatment need for hypertension, diabetes and dyslipidaemia remained around 40%, 7% and 33%, respectively, in 2003–2017. Average treatment effects for those treated in 2013–2017 were 14.8 mmHg (95% confidence interval: 14.2–15.4) for systolic blood pressure, 1.2 percentage points (0.8–1.6) for haemoglobin A1c and 57.9 mg/dl (56.6–59.2) for non-high-density lipoprotein cholesterol. Effective coverage significantly increased between 2003–2007 (hypertension: 48.4% [44.7–52.0], diabetes: 43.8% [35.7–51.8], dyslipidaemia: 86.3% [83.1–89.5]) and 2013–2017 (hypertension: 76.2% [74.2–78.2], diabetes: 74.7% [71.0–78.5], dyslipidaemia: 94.6% [93.3–95.9]). Conclusions: Effective coverage of medical treatment for metabolic risk factors has increased. Most of the potential reductions in non-high-density lipoprotein cholesterol have been achieved by statins. Further efforts are necessary to improve the effectiveness of antihypertensive and antidiabetic drugs. [ABSTRACT FROM AUTHOR]

Human studies on the health benefits of brown rice (BR) are limited, especially in the Philippines, even though rice is the staple food. This is the first randomized controlled investigation on the effects of BR consumption on metabolic risk factors of non-communicable diseases (NCDs) in selected overweight and obese Filipino adults. Out of 60 eligible male and female participants (30-59 yr old) randomly assigned to the BR and white rice (WR) groups, 52 completed the study. This was organized in a semi-free-living condition with 6-wk dietary intervention and 6-wk followup. Participants were assessed at 0, 2, 4, 6, 8, 10, and 12 wk for overweight/obesity parameters and blood pressure (BP), and at 0, 6, and 12 wk for fasting blood sugar (FBS) and lipid profile. More metabolic risk factors were significantly reduced at post-intervention in the BR group [body mass index (BMI), visceral fat (VF), systolic BP (SBP), diastolic BP (DBP), FBS, total cholesterol (TC), and low-density lipoprotein (LDL)] than in the WR group [SBP, DBP, TC, LDL, and triglycerides (TG)]. Most of the parameters in the BR group significantly improved at follow-up including the high-density lipoprotein (HDL). Therefore, the BR-based diet was more effective in improving the metabolic risk factors status than the WR-based diet. Although a statistically significant difference was not detected between the groups, the percent change had small clinical significance - particularly in BMI, DBP, FBS, TC, LDL, and HDL. Hence, in clinical practice, BR could help ameliorate the metabolic risk factors of NCDs among overweight and obese Filipinos. Further investigations are needed to elucidate the effects of BR on metabolic risk factors. [ABSTRACT FROM AUTHOR]

Background: In the past few decades, swimming became one of the most important physical activities within the health system and is considered a practical nonpharmacological approach to managing of type 2 diabetes (T2DM), hyperlipidemia, hypertension (HTN), and obesity. The current study aimed to assess the effect of long-term swimming sessions on glycemic and lipidemic parameters, hemodynamic responses, body fat percent, and body mass index for patients with metabolic risk factors from Palestine. Methods: Forty participants from both genders with T2DM and HTN (aged 52.4 ± 5.5 yrs) agreed to participate in this quasi-experimental study and were divided into two groups. The first group included the participants who performed long-term swimming sessions and the second group served as the control. The first group exercised for 2 h, 3 times/week in 29–33 °C swimming pool temperature for 16 weeks. Simultaneously, the control group did not participate in any exercise and advised them to keep on with their everyday lifestyle. All the obtained metabolic syndrome risk factors data were analyzed using a two-way ANOVA analysis of variance (2*2) which was applied to determine the differences according group, time, and interaction. Results: The results showed that there were statistically significant differences at p < 0.05 in the variables of Total Cholesterol (TC), High Density of Lipoprotein (HDL), Low Density of Lipoprotein (LDL), Triglycerides (TG), Blood Glucose (BG), Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), Body Mass Index (BMI), and body fat percent according to group, time, and interaction for the experimental group. Conclusions: The findings of the current study suggested that the regular 16 weeks of swimming sessions could be considered nonpharmacological approaches in managing T2DM and HTN. [ABSTRACT FROM AUTHOR]

Metabolic syndrome (MetS), a constellation of related metabolic risk factors, is a common comorbidity associated with cognitive difficulty in people living with HIV (PLWH). Neurobehavioral disturbances (e.g., behavioral manifestations of frontal-subcortical dysfunction) are also prevalent in HIV, yet the role MetS might play in HIV-associated neurobehavioral disturbances is unknown. Thus, we examined the link between MetS and neurobehavioral disturbances in PLWH. Participants included 215 adults (117 PLWH, 98 HIV-uninfected), aged 36 to 65 years, from a cohort study at the University of California San Diego. Using the Frontal Systems Behavior Scale, we captured neurobehavioral disturbances (apathy, disinhibition, and executive dysfunction). MetS was defined by the National Cholesterol Education Program's Adult Treatment Panel-III criteria. Covariates examined included demographic, neurocognitive impairment, and psychiatric characteristics. When controlling for relevant covariates, both HIV serostatus and MetS were independently associated with greater apathy and executive dysfunction. HIV, but not MetS, was associated with greater disinhibition. The present findings suggest an additive effect of HIV and MetS on specific neurobehavioral disturbances (apathy and executive dysfunction), underscoring the importance of identifying and treating both HIV and MetS to lessen central nervous system burden among PLWH. [ABSTRACT FROM AUTHOR]

Background: The prevalence of kidney stones in children has significantly increased in the past few decades, with concomitant increased morbidity and healthcare costs worldwide. Assessing metabolic risk factors is essential for diagnosis and specific treatment. The objective of this retrospective study is to identify the epidemiological and clinical characteristics of children under 17 years of age, as well as the metabolic risk factors of nephrolithiasis. Methods: A total of 300 children with kidney stone disease were included to undergo several clinical tests using a standardized protocol. Results: The mean age was 11.2 years, and the male:female ratio was 1.15:1.0. Biochemical abnormalities were found in 89.3% of all cases. A single urine metabolic risk factor was present in 52.6% (n = 141) of the patients, and multiple risk factors were present in 36.7% (n = 106). Idiopathic hypercalciuria (alone or in combination) and hypocitraturia (alone or in combination) were the most frequent risk factors identified in 47.0% and 39.6% of these patients, respectively. Renal colic and/or unspecified abdominal pain were the most frequent forms of presentation (76.9%), followed by hematuria in 64.4% with 97.5% of stones located in the upper urinary tract. A positive family history in first-degree and second-degree relatives was found in 64.8% of boys and 61.8% of girls. Conclusions: We conclude that specific urinary metabolic risk factors can be found in most children with kidney stones, with hypercalciuria and hypocitraturia being the most common diagnoses. [ABSTRACT FROM AUTHOR]

Objectives: To examine the stone recurrence rate among childhood kidney stone formers in the Icelandic population. Materials and methods: We retrospectively examined kidney stone recurrence in a recently reported population-based sample of 190 individuals who experienced their first stone before 18 years of age in the period 1985–2013. Of these 190 individuals, 112 (59%) were females and the median (range) age at the incident stone diagnosis was 15.0 (0.2–17.9) years. Stone recurrence was defined as an acute symptomatic episode with imaging confirmation or self-reported stone passage, new stone detected by imaging in asymptomatic patients, and suspected clinical stone episode without verification. The Kaplan–Meier method was used to assess stone-free survival and the Chi-square, Fisher's exact, Wilcoxon rank-sum and the log-rank tests to compare groups. Results: A total of 68 (35%) individuals experienced a second stone event, 1.7 (0.9–18.9) years after the initial diagnosis. The recurrence rate was 26%, 35%, 41% and 46% after 5, 10, 15 and 20 years of follow-up, respectively. The 5-year recurrence rate increased with time and was 9%, 24% and 37% in the periods 1985–1994, 1995–2004 and 2005–2013, respectively (P = 0.005). No difference in stone recurrence was observed between the sexes (P = 0.23). Conclusions: In our population-based sample of childhood kidney stone formers, the stone recurrence rate is similar to that reported for adults. The observed rise in stone recurrence with time may be related to closer patient follow-up in recent years or increased stone risk in general. [ABSTRACT FROM AUTHOR]

Introduction: Increase in the prevalence of metabolic syndrome (MetS) has become a worldwide major health problem. So far, there are limited data about the impact of occupation types and the development of metabolic risks in females. This study aimed to compare the metabolic risk profiles and in two extremely different female occupational groups: police officers (PO) and office workers (OW). Methods: The prospective study included a total number of 97 female subjects (37 POs and 60 OWs) from Germany. Anthropometric characteristics, metabolic risk parameters as well as laboratory parameters were taken. The diagnosis of MetS was based on the criteria of the International Diabetes Federation (IDF). Results: Female OWs presented a high prevalence of obesity, shown in average abdominal waist circumference (85.3 ± 14.5 cm) above the threshold of ≥ 80 cm recommended by the IDF to define abdominal obesity. Sixty percent of OWs versus 25% of POs had an abnormal abdominal waist circumference. Concerning other metabolic risk factors (HDL, triglycerides, body mass index, blood pressure) no significant differences were found, but a tendency toward a higher prevalence of abnormal values is presented in OWs than POs. MetS was detected in almost 8% of OWs as compared with 5% in POs (p = 0.705). Conclusion: In an international comparison, German female POs showed one of the lowest prevalence of MetS, whereas the prevalence in OWs is equal to results in other countries. In conclusion, especially the occupational type of female OWs presented elevated factors, that are associated with increased metabolic risk. There is a relevant need for further prospective studies with larger sample sizes in female workers to determine the influence between occupational type and metabolic system. [ABSTRACT FROM AUTHOR]