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Abstract Objectives Tuberculosis (TB) presents a substantial danger to populations experiencing crises like earthquakes. This study aims to explore the effect of the Kermanshah earthquake on the trend of TB. Methods This cross-sectional study examined tuberculosis data from 2009 to 2020, using monthly diagnoses. Data was collected from the TB research office and registration system. The study employed interrupted time series (ITS) analysis to assess both the immediate and long-term impacts of the earthquake on TB cases. Results In Sarpol-e Zahab, TB cases initially surged after the earthquake, indicating an immediate effect, but then significantly declined compared to pre-earthquake levels, reflecting an effect over time (β0 = 1.39, β1=-0.004, β2 = 0.11 and β3=-0.01, P = 0.001 and Post-intervention linear trend= -0.015, P

Abstract Background Dietary patterns play a crucial role in the development and management of metabolic syndrome (MetS). The Healthy Beverage Index (HBI) is a novel tool that assesses the quality of beverage choices in the diet and provides insights into their potential impact on metabolic health. The aim of this study was to investigate the association between the HBI and the MetS. Methods This cross-sectional study was conducted using data collected at baseline from the Ravansar Noncommunicable Disease Cohort Study. A total of 9,025 participants aged 35 to 65 years were included in the analysis. HBI was calculated using food items from the Food Frequency Questionnaire (FFQ). MetS status was defined according to established criteria, and logistic regression analysis was performed to assess the association between HBI scores and MetS, adjusting for potential confounding variables. Results In our study, 41.13% of the population was found to have MetS, with a significant association between MetS and tertiles of HBI. Furthermore, the logistic regression model showed a significant inverse association between HBI scores and the odds of developing a MetS (OR = 0.90; 95% CI: 0.86, 0.94), even after adjusting for confounding factors, emphasizing the potential protective effect of higher HBI scores. Conclusion Increased HBI scores were associated with lower risk of MetS, emphasizing the importance of choosing health-promoting beverages in controlling MetS. These findings support the association between dietary habits and metabolic health and provide practical guidance for individuals and public health initiatives aimed at improving metabolic outcomes.

Abstract Background Nausea and vomiting during pregnancy (NVP) is one of the most common complication of pregnancy. The present study was aimed to determine the association between vomiting during pregnancy and adverse birth outcomes. Methods A cross-sectional study was conducted on 3649 pregnant women across 11 provinces of Iran. Cluster sampling method was used to select samples and data collection was done using family record and face-to-face interviews. Data were analyzed by logistic regression, using STATA14.2 software. Results The prevalence of vomiting during pregnancy was 9.7% (95% CI: 8.8, 10.7), with an increasing trend by birth cohort. After adjusting for other confounders, the prevalence of vomiting revealed a decreasing trend by body mass index (OR = 0.63, 95%CI: 0.53, 0.78, P-trend 3 year=1.63). Multivariate analyses showed that the odds of stillbirth (AOR = 1.61, 95% CI: 1.17, 2.19) and the odds of infant mortality (AOR = 1.78, 95% CI: 1.29, 2.45) were significantly increased in women with daily vomiting during pregnancy. The odds of vomiting during pregnancy was significantly shown to reduce the odds of abortion by 45%. Conclusion The prevalence of NVP was shown to have an increasing trend in Iran. This complication is associated with many adverse health outcomes during pregnancy and negatively affect maternal and fetal health. Given the importance of pregnancy period, nutrition education and increase the awareness of pregnant women towards NVP, especially pre-pregnancy training is suggested.

Abstract Background Cerebrovascular accidents (CVAs), or strokes, are major global health concerns associated with oxidative stress, inflammation, and gastrointestinal complications. This study aimed to explore the impact of postbiotic supplementation in CVA patients, specifically in terms of oxidative stress, inflammation, and clinical outcomes, as an alternative to probiotics with potential advantages. Method A prospective, single-center, randomized, controlled trial was conducted with 120 CVA patients in Iran. These patients were admitted to the ICU to assess the severity of their strokes. Patients were randomly assigned to receive either postbiotic supplementation (n = 60) or a placebo (n = 60). Various biomarkers related to oxidative stress, inflammation, and clinical outcomes were assessed. Data on demographic characteristics, nosocomial infections, and laboratory measurements were collected. Gut microbiota analysis was also performed on fecal samples. Results After the 7-day intervention, postbiotic supplementation resulted in significant improvements in inflammatory markers, oxidative stress, and a reduced incidence of pneumonia compared with those in the control group, with the postbiotic group demonstrating notable decreases in the serum IL-1β levels (-1.79; 95% CI: = -2.9 to -0.64, p = 0.002 ), MDA levels (-30.5; 95% CI: -54.8 to -6.1, p = 0.015), Hs-CRP levels (-0.67; 95% CI:-1.1 to -0.26 mg/dl, p = 0.001) and TAC levels (62.5; 95%CI: 34.1 to 90.9, p

Abstract Diabetes and its complications pose a significant threat to global health. Various factors contribute to the development of diabetes, with diet being an important trigger. The Dietary Quality Index-International (DQI-I) serves as an indicator of changes in diet and its association with chronic diseases, including diabetes. The aim of this study is to examine the association between DQI-I and diabetes in adults. Data from the first phase of the Ravansar Non-Communicable Disease Cohort Study (RaNCD) were used for this cross-sectional study. The study included individuals from western Iran aged between 35 and 65 years. The DQI-I was used to assess diet quality and the essential aspects of a healthy diet. Multiple logistic regression analyses were performed to compare DQI-I total score and diabetes. A total of 7,079 individuals were included, including 608 diabetic and 6,471 healthy individuals. The mean DQI-I score was 60.51 ± 8.47 in healthy individuals and 63.12 ± 8.64 in diabetics. The odds of developing diabetes were higher in individuals with a higher DQI-I (adjusted odds ratio: 1.49, 95% CI: 1.30–1.73). The variety was 13.43 ± 4.47 in diabetics and 12.59 ± 4.79 in healthy individuals. Adequacy was 33.23 ± 3.71 in diabetics and 33.79 ± 3.37 in healthy individuals. Moderation was 13.27 ± 6.05 in diabetics and 11.79 ± 5.47 in healthy individuals. The overall balance was 2.88 ± 2.21 in the healthy group and 2.61 ± 2.13 in the diabetics. The macronutrient ratio was 2.15 ± 1.88 in the healthy group and 2.04 ± 1.84 in the diabetics. The fatty acid ratio was 0.72 ± 1.29 in the healthy group and 0.56 ± 1.17 in the diabetic group. The overall balance score was higher in the healthy subjects. The DQI-I total score was higher in diabetics, indicating a positive association between diabetes and the DQI-I. Therefore, the importance of continuous dietary management and education of diabetic patients should be emphasized.

ABSTRACT Background and Aims Infertility, as defined by the World Health Organization, is the inability to conceive after 12 months of regular, unprotected intercourse. This study aimed to identify factors influencing infertility by applying data mining techniques, specifically rule‐mining methods, to analyze diverse patient data and uncover relevant insights. This approach involves a thorough analysis of patients' clinical characteristics, dietary habits, and overall conditions to identify complex patterns and relationships that may contribute to infertility. Methods In this study, we examined the impact of lifestyle factors on infertility using machine learning and data mining techniques, specifically Association Rules. The study included a total of 4437 women who participated in the Ravansar Non‐Communicable Disease Cohort study. Among the remaining participants, 434 were infertile. We utilized 38 variables to generate the relevant association rules. Results As a result, the analysis reveals that 97% of infertile women are likely to cook for more than 2 h and engage in standing activities. Additionally, 94% of infertile women are likely to have central obesity. Infertile women also have a 73% chance of reusing cooking oil and a 74% chance of consuming fried food at least once a week. The likelihood of infertility increases to 98% among women who use more than 24 eggs per month and to 97% among those who consume moldy jam or syrup. The evaluation of these associations was further supported by measures of support, confidence, and lift. Conclusion This study showed that key lifestyle factors linked to infertility, underscoring the role of lifestyle in reproductive health. These findings suggest that targeted interventions and lifestyle changes may help reduce infertility rates. Further research is needed to confirm these associations and investigate the underlying mechanisms.

Abstract Diabetes mellitus (DM) is among the most widespread non-communicable diseases and poses a substantial global health challenge. The aim of this study was to examine the incidence of DM and its nutritional, anthropometric, laboratory, demographic, and behavioral determinants, as well as comorbidities, within a Kurdish population residing in western Iran. This research was conducted in the Ravansar Non-Communicable Disease (RaNCD) cohort study, followed 9170 participants aged 35–65 years, for an average ± SD of 7.11 ± 1.26 years, from 2015 until 2023. A hierarchical Cox regression model was used to estimates the adjusted hazard ratios (HRs). The incidence of DM was 4.45 (95% CI 3.96, 4.99) per 1000 person-years. We found several significant predictors for DM incidence, including prediabetes, comorbidity, urban residence, total antioxidant capacity (TAC), and the interaction between gender and body mass index (BMI). Prediabetes emerged as the strongest predictor of DM incidence, with a hazard ratio of 10.13 (CI 7.84, 13.09). Additionally, having two diseases (HR = 2.18; 95% CI 1.44, 3.29) or three and more diseases (HR = 3.17; 95% CI 2.06, 4.90) increased the risk of developing DM. Also, the hazard ratios for the effects of gender on DM incidence in the normal, overweight, and obese BMI groups were 0.24, 0.81, and 1.01, respectively. The presence of prediabetes and obesity serve as the crucial indicators for the onset of DM, emphasizing the pressing need for interventions to prevent DM in these circumstances. Furthermore, there are notable disparities between urban and rural populations in this study, warranting further investigations to ascertain the underlying causes of such variations.

Abstract Current evidence suggests that non-traditional serum lipid ratios are more effective than traditional serum lipid parameters in predicting vascular diseases, and both of them are associated with dietary patterns. Therefore, this study aimed to investigate the relationship between the dietary inflammatory index (DII) and atherogenic indices using traditional serum lipid parameters (triglyceride (TG), total cholesterol (TC), LDL cholesterol (LDL–c), high-density lipoprotein cholesterol (HDL–c)) and non-traditional serum lipid ratios (atherogenic index of plasma (AIP), Castelli's index-I (CRI_I), Castelli's index-II (CRI_II), the lipoprotein combination index (LCI), and the atherogenic coefficient (AC)). Basic information from the Ravansar Non-Communicable Diseases cohort study was utilized in the present cross-sectional observational study. The study included 8870 adults aged 35–65 years. A validated food frequency questionnaire (FFQ) was used to measure DII. We compared the distributions of outcomes by DII score groups using multivariable linear regression. The difference between DII score groups was evaluated by the Bonferroni test. The mean ± SD DII was − 2.5 ± 1.43, and the prevalence of dyslipidemia was 44%. After adjusting for age, sex, smoking status, alcohol consumption status, physical activity, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), body mass index (BMI) and socioeconomic status (SES), participants in the highest quartile of DII had a greater risk for CRI_I (β = 0.11, CI 0.05, 0.18), CRI_II (β = 0.06, CI 0.01, 0.11), LCI (β = 0.11, CI 288.12, 8373.11), AC (β = 0.11, CI 0.05, 0.17) and AIP (β = 0.06, CI 0.02, 0.10). Moreover, according to the adjusted logistic regression model, the risk of dyslipidemia significantly increased by 24% (OR: 1.24, 95% CI 1.08–1.41), 7% (OR: 1.07, 95% CI 0.94, 1.21) and 3% (OR: 1.03, 95% CI 0.91, 1.16) in Q4, Q3 and Q2 of the DII, respectively. Finally, diet-related inflammation, as estimated by the DII, is associated with a higher risk of CRI-I, CRI-II, LCI, AC, and AIP and increased odds of dyslipidemia.

Abstract Background The aim of this study was to examine the association between different metabolic obesity phenotypes and the non-alcoholic fatty liver disease (NAFLD). Methods This cross-sectional analysis utilized data from the baseline phase of the Ravansar non-communicable diseases (RaNCD) cohort study, which involved 8,360 adults. Participants with a Fatty Liver Index (FLI) score of ≥ 60 was classified as having NAFLD. The FLI score was calculated using liver non-invasive markers and anthropometric measurements. Participants were categorized into four phenotypes based on the presence or absence of metabolic syndrome and obesity. Logistic regression analysis was used to evaluate the association of NAFLD and obesity phenotypes. Results According to the FLI index, the prevalence of NAFLD was 39.56%. Participants with FLI scores of ≥ 60 had higher energy intake compared to those in the FLI

Abstract Background Metabolic syndrome (MetS) is associated to sleep duration. It is crucial to identify factors that disrupt sleep regulation. The study aimed to assess the indirect effect of risk factors related to MetS severity through sleep duration by utilizing a structural equation model (SEM). Methods The study involving 3,935 adults from the baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort study. MetS severity scores were the outcome variables. SEM was employed to explore the relationships, utilizing IBM SPSS and AMOS version 23. Results The mean MetS severity score was higher in women compared to men (0.25 vs. 0.16, P = 0.003). In men, socioeconomic status (SES) has a positive direct effect (β = 0.048) and a negative indirect effect (β=-0.006) on MetS severity. Increased physical activity is directly (β=-0.036) and indirectly (β=-0.093) associated with reducing MetS severity. Nap duration is directly linked to an increase (β = 0.072) but has an indirect effect (β=-0.008) in decreasing MetS severity. In women, SES has a direct (β=-0.020) and indirect (β=-0.001) inverse relationship with MetS severity. Increased physical activity is directly (β=-0.048) and indirectly (β=-0.036) associated with decreasing MetS severity in women. Nap duration is directly associated with an increase in MetS severity (β=-0.018) but indirectly contributes to its reduction (β=-0.002). Sleep duration not only directly affects MetS severity but is also influenced by age, SES, physical activity, obesity and nap duration. Conclusion Physical activity, SES, and nap duration directly and indirectly effect the MetS severity. Sleep duration was recognized as a mediating variable that supports the indirect effects.

Abstract Background Interactions between risk factors may influence disease severity. Knowing this relationship is important for preventive interventions and disease control. The purpose of this study was to determine the interactions effects of obesity and hypertension on the risk of type 2 diabetes mellitus (T2DM). Methods The data of 9,283 adults 35 to 65 years were examined from the cohort study of Ravansar Non-Communicable Disease (RaNCD). Waist circumference (WC) was used to identify both general and abdominal obesity based on body mass index (BMI). To assess the interaction between hypertension and obesity (general/abdominal) and the risk of T2DM, the additive interaction was calculated. Results The adjusted odds ratios for T2DM were 2.38 (1.67, 3.41) in men and 4.02 (2.47, 6.47) in women for the combinations of hypertension and abdominal obesity. The adjusted odds ratios for T2DM were 2.53 (1.63, 3.82) in men and 2.66 (1.92, 3.70) in women for the combinations of hypertension and general obesity. The results of the additive interaction indicators were inconsistent with gender. The relative excess risk due to interaction (interaction between hypertension and central obesity) (RERI), attributable proportion due to interaction (AP) and synergy index (SI) were0.27 (-1.01, 1.54), 0.11 (-0.41, 0.63) and 1.23 (0.41, 3.68) in male and were 0.61 (-1.12, 2.33), 0.23 (0.08, 0.37) and 1.26 (0.60, 2.61) in female, respectively. Conclusion General/abdominal obesity and hypertension have a synergistic effect on the risk of T2DM. The recommendation for preventing T2DM is lifestyle modification. Large longitudinal studies are necessary to investigate causal relationships.

Abstract The prevalence of type 2 diabetes mellitus (T2DM) is increasing in middle- and low-income countries, and this disease is a burden on public health systems. Notably, dietary components are crucial regulatory factors in T2DM. Plant-based dietary patterns and certain food groups, such as whole grains, legumes, nuts, vegetables, and fruits, are inversely correlated with diabetes incidence. We conducted the present study to determine the association between adherence to a plant-based diet and the risk of diabetes among adults. We conducted a cross-sectional, population-based RaNCD cohort study involving 3401 men and 3699 women. The plant-based diet index (PDI) was developed using a 118-item food frequency questionnaire (FFQ). Logistic regression models were used to evaluate the association between the PDI score and the risk of T2DM. A total of 7100 participants with a mean age of 45.96 ± 7.78 years were analysed. The mean PDI scores in the first, second, and third tertiles (T) were 47.13 ± 3.41, 54.44 ± 1.69, and 61.57 ± 3.24, respectively. A lower PDI was significantly correlated with a greater incidence of T2DM (T1 = 7.50%, T2 = 4.85%, T3 = 4.63%; P value

Abstract Background Gastroesophageal reflux disease (GERD) in the long term reduces the quality of life, leading to digestive diseases. The present study aims to determine the risk factors for GERD. Method This study was conducted on 9,631 adults aged 35–65 years. The demographic characteristics, behavioral habits, nutritional intake, physical activity, anthropometric indices, and GERD data were extracted from the databank related to the Ravansar non-communicable diseases (RaNCD). Statistical analysis was performed using logistic regression models. Results The prevalence of GERD was 10.99% (n = 1,058). The GERD was higher among older age and women. After adjusting for age and sex, the odds of GERD among current smokers was 23% higher than non-smokers. Drinking increased odds of GERD (OR: 1.51; 95% CI: 1.13, 1.99). The odds of GERD among depressed individuals were 46% higher than non-depressed. In addition, a significant relationship was observed between the high intake of sweets and desserts with increased GERD (OR: 1.02, 95% CI: 1.01, 1.03). Further, high intake of fiber (OR: 0.98, 95% CI: 0.97, 0.99) and dairy (OR: 0.99, 95% CI: 0.98, 0.99) was related to reducing the odds of GERD. Furthermore, a significant relationship was reported between the waist hip ratio (WHR) and visceral fat area (VFA) with increased odds of GERD. Finally, the physical activity level was inversely related to GERD. Conclusion Based on the results, smoking, alcohol, inactivity, high intake of sweets and desserts, low intake of fiber, depression, visceral fat, and obesity are considered as risk factors for GERD. Modifying lifestyle and behavioral habits prevent GERD.

Abstract Background Cervical cancer remains the fourth most frequently diagnosed cancer among women, and its impact is particularly significant in women residing in less developed countries. This study aims to assess socioeconomic inequality in using Papanicolaou tests, commonly known as Pap tests, which are crucial for detecting cervical cancer. The research also seeks to decompose this inequality, identifying its contributing factors. This investigation is conducted within a sizable population-based study focused on the Kurdish population, with an additional examination of potential variations between urban and rural areas. Method The study utilized baseline data from the Ravansar Non-Communicable Disease Cohort Study (RaNCD), involving 3,074 ever-married women aged 35–65. Asset data was employed to determine socioeconomic status (SES), and Principal Component Analysis was applied. The uptake of Papanicolaou tests was assessed for inequality using the Concentration Index (Cn). Additionally, decomposition analysis was conducted to identify and understand the factors contributing to socioeconomic inequality. Results The study found that overall, 86% of women reported having undergone cervical cancer screening at least once in their lifetime. The Concentration Index (Cn) for the total population was 0.21 (p

Abstract The incidence of colorectal cancer (CRC) is increasing in low- and middle-income countries. This study aimed to estimate the burden of CRC attributable to nutritional risk in the Middle East and North Africa (MENA) region. The GBD 2019 methods were used to estimate age-standardized mortality rates (ASMRs) and disability-adjusted life-years (DALYs) in 2019 and over the past three decades. We evaluated the 30-year trend in DALYs and mortality rates from nutrition-related risks of CRC, from 1990 to 2019 by sex and age groups in 21 countries in the MENA region. The rate of DALYs/100,000 due to diet-related risks for CRC in 2019 was 79.71 (95% UI: 56.79, 98.44) and 65.16 (95% UI: 45.86, 80.95) in men and women, respectively. The percent changes of DALYs/100,000 in men and women were 8.15% and 2.50%, respectively, between 1990 and 2019. The percent changes in ASMRs in men and women were 8.32% and 3.44%, respectively. The highest DALYs and ASMRs were observed in both sexes in the age group 75–79 years and above. The highest percent changes in DALYs/100,000 and ASMRs were observed between 1990 and 2019 in Afghanistan, Egypt, Iran, Iraq, Lebanon, Libya, Morocco, Palestine, Qatar, Saudi Arabia, Sudan and Yemen. DALYs and ASMRs attributed to dietary risk for CRC increased in 21 countries in the MENA region from 1990 to 2019. A modified diet with more fiber, dairy products and less red meat intake is a highly recommended strategy for prevention CRC.

Abstract Background Shift work has been related to adverse health outcomes that can partially be attributed to physical inactivity. However, our knowledge of the influence of shift work on physical activity and sedentary behavior is inconclusive. Therefore, this study aimed to assess physical activity levels among shift and non-shift workers among a sample of Iranian adults. Methods Baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort study were used. All participants of RaNCD except those excluded due to unemployment or considerable disability were included in the study. We evaluated participants’ physical activity levels using the PERSIAN cohort questionnaire and examined its associations with being a shift worker. Results A total of 4695 participants with a mean age of 46.1 (SD = 7.74) were included in the study. In total, 1108 (23.6%) participants were shift workers, 1420 (30.2%) had insufficient physical activity levels, and 4283 (91.2%) were male. The prevalence of physical inactivity was significantly lower among shift workers compared to non-shift workers (21% vs. 33.1%, p

Abstract Background In recent decades, more and more attention has been paid to the influence of nutrition on reproductive health. Nevertheless, the imminent association between diet-related inflammation and the risk of infertility has not yet been established. The aim of the current study was to investigate the ability of the Dietary Inflammatory Index (DII) to estimate infertility incidence in women. Methods This cross-sectional study was conducted using data from Ravansar non-communicable diseases (RaNCD) cohort study on 4437 participants. The DII was calculated based on the reported consumption of up to 31 food parameters measured via a validated and reproducible 118-item food-frequency questionnaire (FFQ). Multiple logistic regression analysis was applied to estimate the multivariable odds ratio (OR) adjusted for potential confounding variables. Results Out of all participants, 411 women (9.26%) were infertile. The mean ± SD age and weight of infertile women were 43.67 ± 7.47 years and 72.86 ± 13.02 kg, respectively. Statistical analyses showed the odds ratio of infertility in the fourth quartile (pro-inflammatory diet) was 1.76 times higher than in the first quartile (anti-inflammatory diet) of DII (95% CI: 1.57–2.02). Conclusions The findings of this study provide compelling evidence about the association between infertility and the quality of diet in women. Therefore, interventions and programs aimed at promoting a healthy lifestyle and using healthy diets can be considered as one of the effective approaches in the prevention and treatment of infertility in women.

Abstract This study was conducted to investigate the association between decayed, missing, and filled teeth (DMFT) index and nutritional status measured by Healthy Eating Index 2015 (HEI-2015), in Iranian adults. In this cross-sectional study, data from the Ravansar non-communicable diseases cohort study were analyzed. DMFT index was employed as a measurement of oral health. The HEI-2015 score was calculated based on data obtained from Food Frequency Questionnaire and categorized into quartiles. Linear regression models were used to assess the association between HEI-2015 and DMFT. From total of 7549 participants with the mean age of 45.65 ± 7.70, 3741 of them were female (49.56%). The mean of DMFT in the highest quartile of HEI-2015 was lower than the lowest quartile (12.64 ± 7.04 vs. 14.29 ± 7.54, P

Abstract High BMI related burden of knee and hip osteoarthritis (OA) is on a significant rise worldwide. OA not only causes joint pain and stiffness, but it also leads to disability. This study investigated the trend and burden of OA attributable to high body mass index (BMI) in Iran. The age-standardized disability-adjusted life years (DALYs) rates of knee and hip OA due to high BMI, were estimated using data from the Global Burden of Disease 2019. We evaluated DALYs rate trend of high BMI related OA by sex and age in span of 30 years from 1990–2019 across the 31 provinces of Iran. The age-standardized prevalence trend of OA in the knee and hip showed an increase from 1990 to 2019. In 2019 there were 29.92 (95% CI: 10.98–64.92) and 42.50 (95% CI: 16.32–97.37) DALYs/100,000 related to OA from high BMI in men and women, respectively. 2019 saw the greatest DALYs/100,000 rate in the 65–79 age group. From 2005 to 2019, men and women saw DALYs/100,000 rate changes of 24.87 and 17.43 percent, respectively. The burden of knee OA was significantly higher than that of hip OA. DALYs rate of OA due to high BMI was found to be positively associated with the Socio-demographic Index (SDI). The burden of knee and hip OA due to high BMI has increased significantly in recent years in Iran among all age groups of both men and women. It is recommended that health policymakers develop weight control strategies to reduce the burden of OA and implement them at the national level.

Abstract Background Insulin resistance (IR) and obesity are risk factors for hypertension; triglyceride-glucose (TyG) is known as a surrogate for IR. The present study investigated the association between the triglyceride-glucose body mass index (TyG-BMI) index and the risk of hypertension in Iranian adults. Methods This study was conducted on a sample of 8,610 participants from the baseline phase of the Ravansar non- communicable diseases (RaNCD) in Iran. A logistic regression model was used to evaluate the relationship between TyG-BMI and hypertension. Receiver operating characteristic (ROC) curve analysis was conducted to estimate the predictive power of TyG-BMI for hypertension. Results A total of 4176 men and 4434 women with an average age of 46.74 years were examined. The anthropometric indices were significantly higher in hypertensive than normotensive subjects (P

Abstract Background Lifestyle intervention can effectively treat patients with non-alcoholic fatty liver disease (NAFLD). The present study aimed to investigate the association between lifestyle factors with fatty liver index (FLI) in Iranian adults. Methods This study enrolled 7114 subjects from the Ravansar Non-Communicable Diseases (RaNCD) cohort study in western Iran. To compute the FLI score, anthropometric measures, and a few non-invasive liver status indicators were used. Binary logistic regression models examined the association between FLI score and lifestyle. Results Participants with FLI

Background and Aim: All people living in a society are not equally at risk of COVID-19 infection and hospitalization. The current study is aimed to determine the factors related to COVID-19 infection and hospitalization among participants of Ravansar Non-Communicable Disease (RaNCD) cohort study. Materials and Methods: The present study was conducted between 28th February, 2020 to 27th November, 2021. Data from the RaNCD study, morbidity and hospitalizations cases (extracted from the medical care monitoring system, SAMA system and the handwritten list of the health department) and positive serological results were used. For the case-cohort study, 626 confirmed and/or probable cases and 2107 randomly selected participants as sub-cohort were recruited. For the case-control study, 188 COVID-19 hospitalized patients from RaNCD (as cases) and 632 positive outpatients identified as controls. Data were analyzed using Cox and logistic regression, respectively. Results: In case-cohort study, the hazard ratio of COVID-19 among people living in rural areas, in smokers and those in middle socioeconomic status was, 0.37 (0.24, 0.58), 1.50 (1.07, 2.11), as compared to the reference groups. While the hazard ratio of people aged 46-64 and those ≥65 years old, as compared to the reference group within the first year, was 3.47 (1.76, 6.86) and 6.45 (2.80, 14.85), the corresponding value after one year was 2.23 (1.13, 4.40) and 3.52 (1.53, 8.10), respectively. The hazard ratio among those with at least one comorbidity was 2.45 (1.53, 3.92) in the first year of study and after one year decreased to 1.82 (1.14, 2.92). In addition, moderate and vigorous physical activity decreased the hazard ratio. In case-control study the odds ratio of hospitalization increased by 0.03% (1.03(1.01, 1.05)) with an increase of one year in age and in people with at least three comorbidities was 2.43 (1.24, 4.73) times of those without comorbidity. Conclusion: Overall, one year after starting the study the decrease in hazard ratio of COVID-19 was significant. Increase in age and having comorbidities are factors that increased the odds ratio of hospitalization. Such people can be considered for the next waves of COVID-19 prioritized for health care and booster vaccination.

Abstract Background Persistent pain and reduced mobility and dexterity are the typical characteristics of Musculoskeletal disorders (MSDs). We aimed to determine the prevalence of back and joint pain, back, and joint stiffness, arthritis, and osteoporosis among adults and their distribution according to sociodemographic characteristics and comorbidities. Methods This cross-sectional study was conducted on 9,520 participants aged 35–65 years from baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort study, in the west of Iran. MSDs were evaluated by the RaNCD cohort study physician using a standard questionnaire. Binary logistic regression was used to determine associations and reported by odds ratios (OR) and 95% confidence intervals (CI). Results The MSDs in women were significantly more than in men (59.06% vs. 40.94%, P

Abstract Background Inflammation and cardiometabolic risk factors can be involved in developing type 2 diabetes mellitus (T2DM). This study aimed to investigate and compare the association between a pro-inflammatory diet and cardiometabolic risk factors in patients with T2DM and non-T2DM cases. Methods In this cross-sectional population-based study, considering the baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort, patients with T2DM (n = 785) and non-T2DM cases (n = 8254) were included. The dietary inflammatory index (DII) was calculated using a food frequency questionnaire (FFQ) and was classified into four groups (quartiles) with lowest to highest scores. Logistic regression analysis was conducted to determine the association between DII and cardiometabolic risk factors in both groups. Results The participants were 9,039 (4140 men and 4889 women) with a mean age of 47.4 ± 8.2 years; the mean body mass index (BMI) and DII were 27.49 ± 4.63 kg/m2 and − 2.49 ± 1.59, respectively. After adjustment for confounding factors, we found that DII can increase the risk of T2DM by 61% (95% CI 1.27 to 2.05, P

Abstract Aim and background Smoking is a modifiable risk factor for cancers. The aim of the study is to estimate the trend of mortality and DALYs of smoking-attributed cancers in the North Africa and Middle East (NAME) countries. Methods In this study, estimates from the Global Burden of Disease 2019 (GBD-2019) study were used to report the mortality and DALYs for 16 smoking-attributed cancers. The mortality and DALYs rates from smoking-attributed cancers were evaluated by age, sex, and the 21 countries of the NAME countries from 1990 to 2019. Results Age standardized mortality rates (ASMR) for the 29 smoking-attributed cancers in the NAME countries in 1990 and 2019 were estimated to be 24.7 (95% Uncertainty Interval: 21.5, 27.8) and 22.4 (95%UI: 19.8, 25.4) respectively, which shows a 9.2% decrease in the three decades. DALYs/100,000 for smoking-attributed cancers was, also, estimated to be 600.3 (95%UI: 521.6, 682.6) and 515.6 (95%UI: 454.9, 585.4) respectively, which indicates a 14.1% decreased in these three decades. In the last three decades, the percentage changes in DALYs/100,000 for smoking-attributed cancers in males and females were − 0.16 and − 0.03, respectively. Plus, The percentage changes in ASMR in males and females were − 12% and 8%, respectively. Furthermore, The highest ASMR and DALYs were observed in Lebanon, Turkey, and Palestine in 2019. Conclusion The mortality rates of cancers from smoking have increased substantially among females, in most countries of the NAME region, in recent years. The burden caused by smoking can be reduced through modifying lifestyle and applying strict laws on smoking by governments and policymakers.

Abstract Background Investigating the effect of metabolic disorders on chronic kidney disease (CKD) in the presence or the absence of obesity is of great importance. This study aimed to examine the independent and joint relationships of obesity and metabolic syndrome (MetS) with CKD. Methods The present study was performed on 9,762 participants from the baseline phase of the Ravansar non- communicable diseases (RaNCD) study. Thereafter, the CKD was estimated by glomerular filtration rate (eGFR) using the Modification of Diet in Renal Disease (MDRD) equation. All the included participants were categorized into the following four phenotypes: metabolically healthy non-overweight/obesity (MHNO), metabolically unhealthy non-overweight/obesity (MUNO), metabolically healthy overweight/obesity (MHO), and metabolically unhealthy overweight/obesity (MUO). Finally, Logistic regression analysis was used to estimate the odds ratio (ORs). Results The mean age of the included participants was 47.33 ± 8.27 years old, %48.16 (4,701) of whom were men. As well, 1,058(10.84%) participants had CKD (eGFR less than 60 ml/min/1.73m2). The overweight/obesity was not significantly associated with odds of CKD. The odds of CKD in male subjects with MetS was 1.48 times higher than non-MetS ones (95% CI: 1.10, 2.01). After adjusting the confounders, the odds of CKD were 1.54 times (95% CI: 1.12, 2.11) higher in the MUNO and 2.22 times (95% CI: 1.44, 3.41) higher in the MUO compared to MHNO phenotype in male subjects. The odds of CKD in the MUNO and MUO was 1.31 times (95% CI: 1.10, 1.60) and 1.23 times (95% CI: 1.01, 1.54) higher than MHNO phenotype in female subjects, respectively. Conclusion The odds of CKD were higher in MUNO and MUO phenotypes. Therefore, lifestyle modification is recommended to control normal weight and healthy metabolism.

Abstract Background Antioxidants intake from diet has been identified as one of the effective factors in the development of hypertension (HTN). The present study aimed to investigate the association between total antioxidant capacity (TAC) and HTN in women. Methods This cross-sectional study was performed using the baseline phase data of the ravansar non-communicable disease cohort study. The TAC was calculated using food items of the food frequency questionnaire. TAC scores were classified into four groups (quartile). The first and fourth quartiles had the lowest and highest TAC scores, respectively. Logistic regression analysis was utilized to estimate the odds ratio. Results A total of 5067 women were included in the study. Women with the highest socioeconomic status (SES) had a significantly higher TAC intake compared to those with the lowest SES (P

Abstract Background Since hypertension (HTN) is responsible for more than half of all deaths from cardiovascular disease, it is vital to understand the nutritional factors that reduce its risk. Little information, however, is known about it in the Kurdish population. This study was aimed to evaluate the healthy eating index (HEI) 2015 and major dietary patterns concerning incident HTN. Methods This case-cohort study was designed using Ravansar non-communicable diseases (RaNCD) cohort study data (294 participants with incident HTN and 1295 participants as representative random sub-cohort). HEI 2015 and major dietary patterns were extracted using data from their dietary intake, and three major dietary patterns were identified, including plant-based, high protein, and unhealthy dietary patterns. To analyses the association between HEI 2015 and major dietary patterns with incident HTN Cox proportional hazards regression models were applied. Results There was a significant positive correlation between HEI 2015 and plant-based diet (r = 0.492). The participants in the highest quartile of HEI-2015 had a 39% and 30% lower risk of incident HTN, compared to participants in the first quartile in both crude and adjusted model (HR: 0.61; 95% CI: 0.46–0.82) and (HR: 0.70; 95% CI: 0.51–0.97), respectively. Furthermore, participants with the highest tertile of the plant-based dietary pattern were at lower risk of incident HTN in both crude and adjusted models (HR: 0.69; 95% CI: 0.54–0.9) and (HR: 0.70; 95% CI: 0.53–0.94), respectively. However, the other two identified dietary patterns showed no significant association with incident HTN. Conclusions We found evidence indicating higher adherence to HEI 2015 and plant- based diet had protective effects on incident HTN. The HEI 2015 emphasizes limited sodium intake and adequate intake of vegetables and fruits.

Abstract Background Most non-communicable diseases (NCDs) are associated to diet and inflammation. The Dietary Inflammatory Index (DII) is a developed and validated self-assessment tool. The study was conducted to assess the association of DII with the hypertension (HTN) and type 2 diabetes mellitus (T2DM). Methods This cross-sectional analysis was conducted on 9811 participants aged 35 to 65 years from the Ravansar Non-Communicable Diseases (RaNCD) cohort study’s baseline phase data. The DII was calculated using 31 food frequency questionnaire parameters (FFQ). Univariable and multiple logistic regression was used to derive the estimates. Results In healthy participants, the mean DII score was − 2.32 ± 1.60; in participants with T2DM, HTN, or T2DM&HTN, the mean DII score was − 2.23 ± 1.59, − 2.45 ± 1.60 and − 2.25 ± 1.60, respectively (P = 0.011). Males had a significantly higher pro-inflammatory diet than females (P

Abstract Background Although obesity increases the risk of hypertension, the effect of obesity based on metabolic status on the incidence of hypertension is not known. This study aimed to determine the association between obesity phenotypes including metabolically unhealthy obesity (MUO) and metabolically healthy obesity (MHO) and the risk of hypertension incidence. Methods We conducted a prospective cohort study on 6747 adults aged 35–65 from Ravansar non-communicable diseases (RaNCD) study. Obesity was defined as body mass index above 30 kg/m2 and metabolically unhealthy was considered at least two metabolic disorders based on the International Diabetes Federation criteria. Obesity phenotypes were categorized into four groups including MUO, MHO, metabolically unhealthy non obesity (MUNO), and metabolically healthy non obesity (MHNO). Cox proportional hazards regression models were applied to analyze associations with hypertension incidence. Results The MHO (HR: 1.37; 95% CI: 1.03–1.86) and MUO phenotypes (HR: 2.44; 95% CI: 1.81–3.29) were associated with higher hypertension risk compared to MHNO. In addition, MUNO phenotype was significantly associated with risk of hypertension incidence (HR: 1.65; 95% CI: 1.29–2.14). Conclusions Both metabolically healthy and unhealthy obesity increased the risk of hypertension incidence. However, the increase in metabolically unhealthy phenotype was higher.

BackgroundDespite evidence supporting the beneficial effects of the Mediterranean diet (MedDiet) on hepatic steatosis in subjects with non-alcoholic fatty liver disease (NAFLD), the relationship of the MedDiet with hepatic fibrosis is as yet unclear. The aim of the present study was to explore this association in Iranian adults with NAFLD.MethodsThis cross-sectional study included 3,325 subjects with NAFLD from the Ravansar Noncommunicable Disease (RaNCD) cohort. Dietary intake data were collected by a validated food frequency questionnaire (FFQ). The MedDiet score was computed based on a nine-point scale constructed by Trichopoulou et al. Fatty liver index (FLI) and fibrosis-4 (FIB-4) index were used to predict hepatic steatosis and fibrosis in the population. Multivariate regression models were applied to determine associations.ResultsSubjects in the highest tertile of MedDiet score had a higher platelet and a lower weight, total cholesterol (TC), LDL-c, and FLI than those in the lowest tertile (p-value

Background and AimsHypertension may lead to disability and death by increasing the risk of cardiovascular disease, kidney failure, and dementia. This study aimed to determine the association between obesity, sarcopenia and sarcopenic obesity, and hypertension in adults resident in Ravansar, a city in the west of Iran.MethodsThis cross-sectional study was conducted on 4,021 subjects from the baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort study, in the west region of Iran, from October 2014 up to February 2017. Body composition was categorized into obese, sarcopenia, sarcopenic obese, and normal based on measurements of muscle strength, skeletal muscle mass, and waist circumference. Univariate and multiple logistic regression models were used to examine the relationships, using the STATA 15 software.ResultsThe mean age of the participant was 47.9 years (SD: 8.4), the body mass index (BMI) was 26.84 kg/m2 (SD: 4.44), and the prevalence of hypertension was 15.12%. The prevalence of obesity, sarcopenia, and sarcopenic obesity were 24.37, 22.01, and 6.91%, respectively. Body composition groups had significant differences in age, total calorie intake, BMI, skeletal muscle mass, and muscle strength (P-value ≤ 0.001). In crude model, the obese (OR = 2.64; 95% CI: 2.11–3.30), sarcopenic (OR = 2.45; 95% CI: 1.94–3.08), and sarcopenic obese (OR = 3.83; 95% CI: 2.81–5.22) groups had a higher odds of hypertension. However, in adjusted models, only the obese group had a higher likelihood of hypertension (OR = 2.18; 95% CI: 1.70–2.80).ConclusionThis study showed that obesity was associated with hypertension, whereas sarcopenia and sarcopenic obesity had no significant relationship with hypertension.