Dietary amino acid profile and risk of hypertension: findings from the Ravansar cohort study.

INTRODUCTION: Hypertension (HTN) is a significant global health concern associated with morbidity and mortality. Recent research has explored the potential relationship between dietary protein intake and the development of HTN. This study aims to investigate the association between dietary amino acids and the incidence of HTN. METHODS: This nested case-control study utilized data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study. The study included 491 new HTN cases identified over a 6-year follow-up period. For each case, four controls were randomly selected through density sampling. A food frequency questionnaire (FFQ) consisting of 125 food items was used to calculate dietary amino acid intake. HTN was determined based on systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg and/or current use of antihypertensive medication in subjects without pre-existing HTN at the start of the cohort study. Conditional logistic regression was used to estimate crude and adjusted odds ratios for HTN risk. RESULTS: The median intake of all amino acids was lower in patients with HTN compared to the control group. After adjusting for various variables in different models, the risk of developing HTN tended to increase with higher dietary amino acid intake (excluding tryptophan and acidic amino acids). Specifically, individuals in the third tertile had a higher risk of developing new HTN than those individuals in the lowest tertile, although this difference was not statistically significant (P > 0.05). CONCLUSION: The findings suggest that there may be an association between increased dietary amino acid intake and the risk of developing HTN, although this association was not statistically significant in this study. Further investigations in diverse populations are needed to explore the relationship between amino acids and HTN, as well as to determine the potential positive and negative effects of specific amino acid patterns on hypertension.

The mediating effect of sleep duration on metabolic syndrome severity in adults: a structural equation modeling approach.

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 (ß = 0.048) and a negative indirect effect (ß=-0.006) on MetS severity. Increased physical activity is directly (ß=-0.036) and indirectly (ß=-0.093) associated with reducing MetS severity. Nap duration is directly linked to an increase (ß = 0.072) but has an indirect effect (ß=-0.008) in decreasing MetS severity. In women, SES has a direct (ß=-0.020) and indirect (ß=-0.001) inverse relationship with MetS severity. Increased physical activity is directly (ß=-0.048) and indirectly (ß=-0.036) associated with decreasing MetS severity in women. Nap duration is directly associated with an increase in MetS severity (ß=-0.018) but indirectly contributes to its reduction (ß=-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.

Epidemiological patterns and spatiotemporal analysis of cardiovascular disease mortality in Iran: Development of public health strategies and policies.

BACKGROUND: Cardiovascular diseases (CVD) stand out as the leading cause of mortality, and the mortality rate attributed to this disease is notably elevated in Iran. Consequently, dedicated studies on CVD become imperative. METHODS: This cross-sectional study utilized data from the death registration system of the Ministry of Health, Treatment and Medical Education of Iran. In this study, the statistical population of all people who died due to CVD in Iran were18,146, 21,945, and 24,352 individuals in the years 2017, 2018, and 2019, respectively. The primary objective is to conduct a spatiotemporal analysis of CVD mortality spatiotemporally using GIS-based methodologies. To achieve this, CVD mortality data at the township level for the years 2017, 2018, and 2019 in Iran are subjected to spatial statistical tests, including Anselin Local Moran's I and Hot Spot Analysis (Getis-Ord Gi*), as well as analytical techniques such as Mean Center (MC), (SD), and (GIS). RESULTS: The study identified a rising trend in cardiovascular disease-related deaths in Iran, reaching (46.36% females and 53.64 males), (45.39% females and 54.61% males) and (45.67% females and 54.33% males) individuals in the years 2017, 2018, and 2019, respectively. Throughout this period, the mortality rate was higher among men, with the elderly showing the highest mortality. Notably, distinct hotspots of cardiovascular disease mortality emerged in the western, southern, and eastern regions of Iran. These findings emphasize the importance of targeted interventions and further investigation into the contributing factors in these specific geographic areas. CONCLUSION: Geographic factors are identified as significant contributors to an elevated risk of cardiovascular disease mortality. Our study, shedding light on the spatial dynamics of the disease, offers valuable insights for decision-makers. The findings can contribute to the formulation of effective strategies and policies, aligning with a Holistic Cardiovascular Health Strategy, Gender-Based Healthcare Policies, and Spatial Planning and Environmental Policies.

Validity and reproducibility of the PERSIAN Cohort food frequency questionnaire: assessment of major dietary patterns.

BACKGROUND: Dietary patterns, encompassing an overall view of individuals' dietary intake, are suggested as a suitable means of assessing nutrition's role in chronic disease development. The aim of this study was to evaluate the validity and reproducibility of a food frequency questionnaire (FFQ) designed for use in the Prospective Epidemiological Research Studies in IrAN (PERSIAN), by comparing major dietary patterns assessed by the FFQ with a reference method. METHODS: Study participants included men and women who enrolled in the PERSIAN Cohort Study at seven of the eighteen centers. These centers were chosen to include dietary variations observed among the different Iranian ethnic populations. Two FFQ were completed for each participant over a one-year study period (FFQ1 upon enrollment and FFQ2 at the end of the study), with 24 interviewer-administered 24-hour dietary recalls (24 h) being completed monthly in between. Spearman correlation coefficients (SCC) were used comparing FFQs 1 and 2 to the 24 h to assess validity, while FFQ1 was compared to FFQ2 to assess reproducibility of the questionnaire. RESULTS: Three major dietary patterns-Healthy, Low Protein/High Carb and Unhealthy-were identified, accounting for 70% of variance in the study population. Corrected SCC ranged from 0.31 to 0.61 in the validity and from 0.34 to 0.57 in reproducibility analyses, with the first two patterns, which accounted for over 50% of population variance, correlated at above 0.5 in both parameters, showing acceptable findings. CONCLUSIONS: The PERSIAN Cohort FFQ is suitable for identification of major dietary patterns in the populations it is used for, in order to assess diet-disease relationships.

Establishing research impact assessment in Iran: The first report from a non-high-income country.

Background: This study presents the first report on research impact assessment (RIA) in non-high-income countries, undertaken as a pilot initiative in 2021. Within it, we aimed to explore the feasibility of employing the 'payback' model for evaluating the impact of health research and enhancing the accountability of universities. We focussed on three key impact domains: 'production of decision support documents and knowledge-based products,' 'implementation of research results,' and 'health and economic impact.' Methods: We adopted a case study approach to assess the impact of 5334 health research projects conducted by researchers from 18 universities from 2018 to 2020. Researchers were required to submit evidence related to at least one of the specified impact domains; six scientific committees verified and scored claimed impacts at the national level. Results: Only 25% of the assessed projects achieved impact in at least one domain, with the production of decision support documents and knowledge products being the most reported impact. Notably, economic impact was verified in only three projects, indicating room for improvement in this area. Technology research exhibited the highest acceptance rate of claimed impact, suggesting a positive correlation between technology-focused projects and impactful outcomes. Conclusions: This study demonstrates the feasibility of employing a case study approach and the 'payback' model to evaluate the impact of health research, even within the constraints of a moderately equipped research infrastructure. These findings underscore the potential of integrating RIA into the governance of health research in Iran and other non-high-income countries, as well as the importance of using RIA to assess the accountability of health research systems, guide the allocation of research funding, and advocate for the advancement of health research. The study sets a precedent for future assessments in similar contexts and contributes to the ongoing global dialogue on the societal impact of health research.

The interaction between general or abdominal obesity and hypertension on the risk of type 2 diabetes mellitus: a cross-sectional analysis in Iranian adults from the RaNCD cohort study.

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.

Socioeconomic disparities in Papanicolaou test utilization in Western Iran.

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 < 0.0001), indicating a higher concentration of Papanicolaou test uptake among wealthier groups. In urban areas, the Cn was 0.34 (p < 0.0001), reflecting a significant concentration among the rich. However, in rural areas, the Cn was -0.10 (p = 0.3006), suggesting no significant socioeconomic inequality. Factors such as socioeconomic status (SES), education, and age contributed to reducing inequality, explaining 62.7%, 36.0%, and 1.7% of the observed inequality, respectively. Interestingly, place of residence had a negative influence on inequality. CONCLUSION: The uptake of Papanicolaou tests varies across different socioeconomic status levels, with a higher concentration among wealthier groups. The results enable health policymakers and researchers to tailor health intervention toward increasing public awareness, especially among women with lower levels of education women in economically deprived groups.

Association of plant-based dietary patterns with the risk of type 2 diabetes mellitus using cross-sectional results from RaNCD cohort.

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 < 0.001). Higher PDI scores were associated with significantly increased intakes of fibre, vegetables, fruits, olives, olive oil, legumes, soy products, tea/coffee, whole grains, nuts, vitamin E, vitamin C, and omega-6 fatty acids (P value < 0.001). After adjusting for confounding variables, the odds of having T2DM were significantly lower (by 30%) at T3 of the PDI than at T1 (OR = 0.70; 95% CI = 0.51, 0.96; P value < 0.001). Our data suggest that adhering to plant-based diets comprising whole grains, fruits, vegetables, nuts, legumes, vegetable oils, and tea/coffee can be recommended today to reduce the risk of T2DM.

Association Between Plant-based Diet and Kidney Function in Adults.

OBJECTIVE: A plant-based diet has both antioxidant and anti-inflammatory properties. Therefore, it is hypothesized that adherence to a plant-based diet may have a positive effect on kidney function. The study aimed to determine the association between the plant-based diet index (PDI) and chronic kidney disease (CKD). METHODS: This cross-sectional analysis used information from the Ravansar noncommunicable diseases cohort study, which included 9,746 participants between the ages of 35 and 65. By measuring the estimation glomerular filtration rate (eGFR) with the modification of diet in the renal disease equation, CKD was determined. Using a food frequency questionnaire, the PDI was computed based on food intake. To determine odds ratios (ORs), multivariable logistic regression models were utilized. RESULTS: 1,058 (10.86%) participants had CKD (eGFR<60 mL/min/1.73 m2), and the mean PDI was 54.22 ± 6.68. The mean eGFR in the group with a high PDI score was significantly higher than the group with a low PDI score (fourth quartile: 79.20 ± 0.36 vs. first quartile: 72.95 ± 0.31, P < .001). Adherence to a plant-based diet was more prevalent in those with a higher socioeconomic status (P < .001). After adjusting for potential confounders, the odds of CKD in the third and fourth quartiles of PDI were 25% (OR: 0.75; 95% confidence interval: 0.62-0.91) and 39% (OR: 0.61; 95% confidence interval: 0.48-0.78, P trend<.001) lower than the first quartile, respectively. CONCLUSIONS: The findings of this study suggest that having a plant-based diet may prevent the prevalent CDK. However, further studies with a cohort design are recommended.

Association between dietary inflammatory index and musculoskeletal disorders in adults.

This research investigated how the Dietary Inflammatory Index (DII) related to musculoskeletal issues in adults. It used a cross-sectional design with a sample of 3477 female and 3572 male participants aged 35 to 65 from the Ravansar Non-Communicable Diseases cohort study in western Iran. The DII is calculated from a Food Frequency Questionnaire (FFQ) to measure dietary intake. Musculoskeletal disorders including back pain, back pain/stiffness, joint pain, and joint pain/stiffness were evaluated by the RaNCD cohort study physician using a standard questionnaire. Logistic regression analysis examined the association between DII and musculoskeletal disorders. The findings demonstrated a positive association between higher DII scores and back pain/stiffness (OR 1.32, 95% CI 1.04-1.73, P = 0.047). Furthermore, DII displayed a significant association with a heightened odd to joint pain (OR 1.26, CI 1.10-1.46) when compared to those with lower DII scores (Q3 vs. Q1). After adjusting for cofounding factors, the Q3 DII quintile participants showed a 44% higher odd of experiencing joint pain/stiffness (OR 1.44, CI 1.01-2.05, P = 0.047). However, the study found no significant association between back pain and DII (P > 0.05). In conclusion, the research suggests that consuming a pro-inflammatory diet might be linked to developing musculoskeletal issues in adults.

Opium use and risk of colorectal cancer: a multi-center case-referent study in Iran.

BACKGROUND: Opium use has been associated with an increased risk of cancers of the lung, oesophagus, and pancreas, and it was recently classified by the International Agency for Cancer Research as carcinogenic to humans. It is not clear whether opium also increases the risk of colorectal cancer (CRC). The aim of our study was to assess the association between various metrics of opium use and the risk of CRC. METHODS: This case-referent study from seven provinces in Iran comprised 848 CRC cases and 3215 referents. Data on opium use (duration, amount, frequency) and potential confounders were collected by trained interviewers. Multivariable unconditional logistic regression models were used to measure odds ratios (OR) adjusted for age, gender, province, marital status, family history of CRC-linked cancers, consumption of red meat, fruits and vegetables, body shape, occupational physical activity, and socioeconomic status. RESULTS: Regular opium consumption was not associated with the risk of CRC (OR 0.9, 95% confidence interval, CI: 0.7, 1.2) compared to subjects who never used opium. However, frequent opium use more than twice a day was associated with an increased risk of CRC compared to non-users of opium (OR: 2.0, 95% CI: 1.1, 3.8; p for quadratic trend 0.008). CONCLUSION: There seems to be no overall association between opium use and CRC, but the risk of CRC might be increased among persons who use opium many times a day.

Major dietary patterns and dietary inflammatory index in relation to dyslipidemia using cross-sectional results from the RaNCD cohort study.

Dyslipidemia can increase the risk of heart attack and stroke due to the restriction of blood flow through the blood vessels. Dietary modification is an appropriate approach to reducing this phenomenon. This cross-sectional study aimed to evaluate major dietary patterns and the dietary inflammatory index (DII) in relation to dyslipidemia. 5954 participants in the Ravansar non-communicable diseases (RaNCD) cohort study were eligible for this study. Dyslipidemia was diagnosed based on the lipid profile under consideration of the RaNCD physician. Dietary patterns were assessed by principal component analysis. The three identified dietary patterns included (1) plant-based pattern; (2) high protein and sugar pattern; and (3) energy-dense dense pattern. DII was also calculated based on the dietary information from a validated semi-quantitative food frequency questionnaire (FFQ). We found that higher adherence to DII was significantly associated with increased odds of dyslipidemia after adjusting for age, sex, and physical activity (OR: 1.24; CI 95% 1.09-1.42). Additionally, higher adherence to the high protein and sugar diet and an energy-dense diet was significantly associated with higher odds for dyslipidemia (OR: 1.31; CI 95% 1.16-1.49) and (OR: 1.28; CI 95% 1.12-1.46). Nevertheless, according to our results, following plant-based diet had no association with dyslipidemia in both crude and adjusted models. Our findings revealed that greater adherence to DII, a high-protein, high-sugar diet, and an energy-dense diet can have undesirable effects on dyslipidemia.

A prospective cohort study on the association between dietary fatty acids intake and risk of hypertension incident.

There are inconclusive results available on the association between dietary fatty acid intake and the risk of hypertension (HTN) incident. In this study, we investigate the relationship between baseline dietary fatty acids intake including polyunsaturated fatty acid (PUFA), trans fatty acids (TFA), monounsaturated fatty acid (MUFA), and saturated fatty acid (SFA), and the risk of first incidence hypertension. The current prospective cohort study was carried out from the Ravansar Non-Communicable Diseases (RaNCD) cohort. A food frequency questionnaire (FFQ) with 118 items was used for the assessment of dietary data. Cox proportional hazards analyses were done to estimate hazard ratios (HR) and 95% confidence intervals (CIs) of the highest versus lowest quartile intake of SFA, PUFA, MUFA, and SFA and risk of HTN. Out of 7359 eligible participants, 597 new cases of HTN were identified over an average of 6.4 ± 1.33 years of follow-up. No significant relationship was observed between the fourth compared to the first categories of dietary SFA (HR: 0.82, 95% CI 0.55, 1.21; P trend: 0.476), MUFA (HR: 0.71, 95% CI 0.48, 1.06; P trend: 0.252), PUFA (HR: 0.86, 95% CI 0.62, 1.19; P trend: 0.315) and TFA (HR: 0.99, 95% CI 0.76, 1.27; P trend: 0.675), and risk of HTN. However, a significant inverse association between each 1 g per day increase in dietary MUFA intake during 6.4 years of follow up and HTN incident (HR: 0.97; 95% CI 0.94, 0.99; P 0.044) was observed. In brief, our study revealed that higher dietary MUFA intake was protectively associated with HTN incident. Dietary MUFA-rich foods should be encouraged to improve blood pressure.

Bone mineral density and muscle mass associated with healthy eating index in postmenopausal women; results from RaNCD cohort study.

BACKGROUND: The Healthy Eating Index 2015 (HEI-2015) is a tool for checking the quality of diet. This index is used to examine how well people's dietary behavior fits certain criteria for achieving a healthy diet in Dietary Guidelines for Americans 2015-2020. We look at the possible association between the HEI-2015 and bone mineral density (BMD) and muscle strength in postmenopausal women. METHODS: This research included 1012 postmenopausal women from the recruitment phase of the Ravansar Noncommunicable Diseases (RaNCD) cohort study in Kermanshah-Iran. A standardized and repeatable food-frequency questionnaire (FFQ) that contains 118 items was used to quantify dietary consumption. Anthropometric indices measured via Bio-Impedance Analyzer BIA (Inbody 770, Inbody Co, Seoul, Korea). RESULT: The mean age of postmenopausal women was (56.41 ± 5.31) years. Participants in the highest quartile had a more daily energy intake compared to the lowest quartile (2329.89 ± 837.59), (P < 0.001). Women in the upper quartiles had greater Skeletal Muscle Mass (SMM) than those in the lower quartiles (21.61 ± 2.80 vs 20.52 ± 3.13; p = 0.0002). The linear model didn't show a significant relationship between HEI score and greater BMD (ß = 0.0014, P = 0.169). CONCLUSION: A diet of high quality followed by a high HEL-2015 score was shown to be strongly connected to increased BMD and muscle mass in Kurdish postmenopausal women.

The association between dietary amino acid profile and the risk of type 2 diabetes: Ravansar non-communicable disease cohort study.

BACKGROUND: Type 2 diabetes (T2D) is one of the most common chronic diseases and the main risk factors for T2D consist of a combination of lifestyle, unhealthy diet, and genetic factors. Amino acids are considered to be a major component of dietary sources for many of the associations between dietary protein and chronic disease. Therefore, this study amied to determine the association between dietary amino acid intakes and the incidence of T2D. METHODS: The present nested case-control study was conducted using data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study. The information required for this study was collected from individuals who participated in the Adult Cohort Study from the start of the study until September 2023. Over a 6-year follow-up period, data from 113 new T2D cases were available. Four controls were then randomly selected for each case using density sampling. Cases and controls were matched for sex and age at the interview. Food frequency questionnaire (FFQ) was used to collect data related to all amino acids including tryptophan, threonine, isoleucine, leucine, lysine, methionine, cysteine, phenylalanine, tyrosine, valine, arginine, histidine, alanine, aspartic acid, glutamic acid, glycine, proline, and serine were also extracted. Binary logistic regression was used to estimate the crude and adjusted odds ratio for the risk of T2D. RESULTS: Using the univariable model, a significant association was found between T2D risk and branched-chain, alkaline, sulfuric, and essential amino acids in the fourth quartile. Accordingly, individuals in the fourth quartile had a 1.81- to 1.87-fold higher risk of developing new T2D than individuals in the lowest quartile (P<0.05). After adjustment for several variables, the risk of developing a new T2D was 2.70 (95% CI: 1.16-6.31), 2.68 (95% CI: 1.16-6.21), 2.98 (95% CI: 1.27-6.96), 2.45 (95% CI: 1.02-5.90), and 2.66 (95% CI: 1.13-6.25) times higher, for individuals in the fourth quartile of branched-chain, alkaline, sulfuric, alcoholic, and essential amino acids compared with those in the lowest quartile, respectively. CONCLUSIONS: The results showed that the risk of developing a new T2D was higher for individuals in the fourth quartile of branched-chain amino acids, alkaline, sulfate, and essential amino acids than in the lower quartile.

Comparison of the physical activity levels between shift workers and non-shift workers in a large-scale cross-sectional study in Iran.

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 < 0.001). Multiple backward stepwise binary logistic regression tests indicated that being a shift worker was significantly associated with a lower chance of having insufficient physical activity levels (OR = 0.77, 95% CI = 0.65-0.92, p = 0.003). CONCLUSIONS: The prevalence of insufficient physical activity was higher among non-shift workers than shift workers in our study. By providing the factors associated with insufficient physical activity among the workers in a region of Iran, the current study findings might help policymakers target groups at higher risk of physical activity in Iran and design interventions to improve physical activity, especially among non-shift workers.

The Relationship between Metformin Consumption and Cancer Risk: An Updated Umbrella Review of Systematic Reviews and Meta-Analyses.

Background: Considering that metformin is widely used in the treatment of diabetes, and its protective role against various malignancies, the strength and validity of the available evidence from related systematic reviews and meta-analysis were evaluated. Methods: Scopus, PubMed, Embase, Cochrane, Web of science databases, and Google Scholar and manual screening of retrieved references were systematically searched from their inception dates to 24 March 2020 by extracting the effect size (Odds ratios (OR) and relative risk (RR) in each study. To present the forest plot of effect of metformin on each cancer, Stata version 14.2 was used. Results: This study included 36 meta-analysis studies and 620 original research studies (26 randomized control trials studies and 594 observational studies (cohort, case-control)) covering 15 different cancers. Overall, metformin medication prevented different cancers, including ovarian cancer (OR = 0.76, 95% CI: 0.62,0.93), cervical cancer (OR = 0.60, 95% CI: 0.43, 0.83), endometrial cancer (OR = 1.05, 95% CI: 0.82,1.35), liver cancer (OR = 0.59, 95% CI: 0.47,0.74), pancreatic cancer (OR = 0.59, 95%CI 0.50,0.69), head and neck cancer (OR = 0.71, 95% CI: 0.61,0.83), stomach cancer (OR = 0.72, 95% CI: 0.26,1.99), colorectal cancer (OR = 0.73, 95% CI: 0.59,0.91), colorectal adenoma cancer (OR = 0.75, 95% CI: 0.65,0.86), colon cancer (OR = 0.79, 95% CI: 0.69,0.91), esophagus cancer (OR = 0.90, 95% CI: 0.83,0.98), lung cancer (OR = 0.92, CI95%:0.85,0.99), breast cancer (OR = 0.93, 95% CI: 0.84,1.02), prostate cancer (OR = 0.94, 95% CI: 0.85-1.04), and bladder cancer (OR = 0.94 95% CI: 0.64,1.38). Conclusions: Treatment with metformin can significantly decrease the chance of all cancers with larger preventive effect on hepatocellular carcinoma and smaller preventive effect on lung and breast cancers.

The effect of Iran's health sector evolution plan on hospitals performance indicators: an interrupted time series analysis.

Background: The Health Sector Evolution Plan (HSEP) was set up in Iran's health system to respond to some of the main problems in hospitals and other health sectors. We aimed to compare the effect of the HSEP on teaching hospital performance before and after the implementation of the HSEP through the interrupted time series (ITS) analysis. Methods: With a cross-sectional design, data collection was performed in 17 teaching hospitals affiliated with the Kermanshah University of Medical Sciences (KUMS). We used the existing data on three indicators of hospitalization rate (per 10,000 population), Emergency Department Visits (EDVs) (per 10,000 population), and in-hospital mortality (per 10,000 population). The monthly data from 2009 to 2019 was analyzed by the ITS method 60 months before and 61 months after the HSEP. Results: We found a non-statistically significant decrease in the monthly trend of hospitalization rate relative to the period before the HSEP implementation (-0.084 per 10,000 population [95%CI: -0.269, 0.101](. There was a statistically significant increase in the monthly trend of EDVs rate compared to before the HSEP implementation (1.07 per 10,000 population [95%CI: 0.14, 2.01]). Also, a significant decrease in the monthly trend of in-hospital mortality compared to before the HSEP implementation [-0.003 per 10,000 population (95%CI: -0.006, -0.001)] was observed. Conclusion: Our study demonstrated a significant increasing and decreasing trend for EDVs and in-hospital mortality following the HSEP implementation, respectively. Regarding the increase in hospitalization rate and EDVs after the implementation of HESP, it seems that there is a need to increase investment in healthcare and improve healthcare infrastructure, human resources-related indicators, and the quality of healthcare.

Factors associated with chronic headache among adults: results from a Ravansar noncommunicable disease cohort study.

Background: Headache is the most common disorder of the central nervous system, and one of the most prevalent noncommunicable diseases. Aims: We aimed to determine factors associated with chronic headache among adults in the Islamic Republic of Iran. Methods: This was a cross-sectional study that recruited 10 063 participants from the baseline data of the Ravansar noncommunicable disease cohort study in western Islamic Republic of Iran in 2021. Participants who had headaches for ≥ 15 days per month for ≥ 3 months were considered as having chronic headache. Logistic regression was used to examine the associations. Results: The prevalence of chronic headache was 10.49% (n = 1054), and was significantly higher among females (14.55%, n = 769) than males (5.98%, n = 285) (P < 0.001). The risk of chronic headache among married females was 73% higher than among single females. Among male smokers, the risk of chronic headache was 1.47 times higher than among non-smokers [95% confidence interval (CI): 1.05, 2.06]. The risk of chronic headache among depressed males was 2.59 times higher than among non-depressed males (95% CI: 1.28, 5.22); and among depressed females the risk was 2.38 times higher than among non-depressed females (95% CI: 1.76, 3.23). Among males who lived in rural areas, the risk of chronic headache was 84% lower than among those who lived in urban areas; and among females who lived in rural areas it was 81% lower than those who lived in urban areas. Being menopausal and having normal sleep were significantly associated with lower risk, while comorbidity was associated with higher risk, of developing chronic headache. Conclusions: Depression, urban residence, smoking, comorbidity, and being married were associated with an increase in the risk of developing chronic headache, while higher education level, menopause and normal sleep were associated with a decrease in the risk of developing chronic headache.

Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults.

OBJECTIVES: The worldwide incidence of metabolic syndrome (MetS) has increased in recent decades. In this study, we investigated the socioeconomic inequalities associated with MetS and its components in a sample of the Iranian Kurdish population. METHODS: We used data from 3,996 participants, aged 35 years to 70 years, from the baseline phase of the Dehgolan Prospective Cohort Study (February 2018 to March 2019). The concentration index and concentration curve were used to measure inequality and the Blinder-Oaxaca decomposition method was used to examine the contribution of various determinants to the observed socioeconomic inequality in MetS and its components. RESULTS: The prevalence of MetS was 34.44% (95% confidence interval [CI], 32.97 to 35.93). The prevalence of MetS was 26.18% for those in the highest socioeconomic status (SES), compared with 40.51% for participants in the lowest SES. There was a significant negative concentration index for MetS (C=-0.13; 95% CI, -0.16 to -0.09), indicating a concentration of MetS among participants with a lower SES. The most prevalent component was abdominal obesity (59.14%) with a significant negative concentration index (C=-0.21; 95% CI, -0.25 to -0.18). According to decomposition analysis, age, gender, and education were the highest contributing factors to inequality in MetS and its components. CONCLUSIONS: This study showed socioeconomic inequality in MetS. People with a low SES were more likely to have MetS. Therefore, policymakers and health managers need to develop appropriate strategies to reduce these inequalities in MetS across age groups, genders, and education levels, especially among women and the elderly.