Causes and predictors of premature death in the pars cohort study, Iran: a cohort study.

BACKGROUND: While death in old age is inevitable, premature death at younger ages is within our control. Premature mortality (death < 70 years) is a crucial indicator of health status and access to healthcare, with variations observed across regions. In North Africa and the Middle East, ischemic heart disease (IHD), road injuries, stroke, and chronic kidney disease are projected to be the main causes of premature mortality. Unfortunately, few studies have been conducted on premature mortality worldwide. This study aimed to analyze the causes of premature death and associated risk factors within the Pars Cohort Study. METHODS: The Pars Cohort Study is a prospective cohort study conducted in Fars Province, Iran, involving 9,264 individuals aged 40-75 years, 53.8% of whom were women. We assessed participants from baseline (2012-2014) to 2021. The data were gathered through interviews, biological samples, and physical examinations. The causes of premature mortality, hazard ratios (HRs), and population attributable fraction (PAF) with 95% confidence intervals (95% CIs) for the variables were calculated. RESULTS: Out of 388 deaths, 54% were premature. The most common causes of premature death included IHD (40%), stroke (11%), road traffic injuries (6%), lower respiratory infections (5%), and COVID-19 (3%). The predictive factors [adjusted HRs (95% CIs)] associated with premature mortality included age [year, 1.07 (1.04, 1.10)], tobacco [1.43 (0.96, 2.11)], opium [2.12 (1.39, 3.24)], hypertension [1.52 (1.10, 2.12)], waist circumference [cm, 1.03 (1.00, 1.05)], female sex [0.30 (0.19, 0.47)], education [> 8 years vs. no formal schooling, 0.46 (0.24, 0.88)], being married [0.60 (0.37, 0.97)], physical activity [3rd vs. 1st tertile, 0.38 (0.26, 0.57)], hip circumference [cm, 0.96 (0.92, 0.99)], estimated GFR [mL/min/1.73 m², 0.99 (0.978, 0.999)], and wealth score [4th vs. 1st quartile, 0.54 (0.32, 0.90)]. The PAF (95% CI) for all modifiable predictors was 0.83 (0.62, 0.92). CONCLUSIONS: The predominant causes of premature mortality were IHD and stroke. To mitigate premature deaths, it is recommended to address both socioeconomic and behavioral factors simultaneously.

Comparison of laboratory-based and non-laboratory-based WHO cardiovascular disease risk charts: a population-based study.

BACKGROUND: Determining the risk of Cardiovascular Disease (CVD) is a necessity for timely preventive interventions in high-risk groups. However, laboratory testing may be impractical in countries with limited resources. This study aimed at comparison and assessment of the agreement between laboratory-based and non-laboratory-based WHO risk charts models. METHODS: This study was performed using the baseline data of 8138 participants in the pars cohort study who had no history of CVD and stroke. The updated 2019 WHO model was used to determine the 10-year fatal and non-fatal CVD risks. In general, there are two types of new WHO risk prediction models for CVD. The scores were determined based on age, sex, smoking status, diabetes, Systolic Blood Pressure (SBP), and total cholesterol for the laboratory-based model and age, sex, smoking status, SBP, and Body Mass Index (BMI) for the non-laboratory-based model. The agreement of these two models was determined via kappa statistics for the classified risk (low: < 10%, moderate: 10-< 20%, high: ≥ 20%). Correlation coefficients (r) and scatter plots was used for correlation between scores. RESULTS: The results revealed very strong correlation coefficients for all sex and age groups (r = 0.84 for males < 60 years old, 0.93 for males ≥ 60 years old, 0.85 for females < 60 years old, and 0.88 for females ≥ 60 years old). In the laboratory-based model, low, moderate, and high risks were 76.10%, 18.17%, and 5.73%, respectively. These measures were respectively obtained as 77.00%, 18.08%, and 4.92% in the non-laboratory-based model. Based on risk classification, the agreement was substantial for males < 60 years old and for both males and females aged ≥ 60 years (kappa values: 0.79 for males < 60 years old, 0.65 for males ≥ 60 years old, and 0.66 for females ≥ 60 years old) and moderate for females < 60 years old (kappa = 0.46). CONCLUSIONS: The non-laboratory-based risk prediction model, which is simple, inexpensive, and non-invasive, classifies individuals almost identically to the laboratory-based model. Therefore, in countries with limited resources, these two models can be used interchangeably.

Prevalence of metabolically healthy obesity and healthy overweight and the associated factors in southern Iran: A population-based cross-sectional study.

Background and Aims: Obesity is considered a major growing threat to public health which could negatively affect the quality of life. The current cross-sectional study was conducted to investigate the population-based prevalence of metabolically healthy obesity (MHO) and healthy overweight (MHOW) and associated factors in southern Iran. Methods: Baseline data from the Pars Cohort Study was analyzed. Metabolically healthy participants were identified based on the definition of the American Heart Association for the metabolic syndrome. The prevalence of MHOW and MHO and their 95% confidence intervals were estimated. Poisson regression was applied for the calculation of prevalence ratios (PRs). Results: Gender- and age-standardized prevalences of MHOW and MHO were 6.3% (6.0%-6.6%) and 2.3% (2.1%-2.5%), respectively. The following factors were associated with being MHOW compared with those with normal weight: Being younger, female gender (1.31, 1.20-1.43), higher socioeconomic status, being noncurrent cigarette smoker (1.27, 1.11-1.45), low level of physical activity (1.14, 1.03-1.25), having normal overweight during adolescence, and overweight (1.35, 1.24-1.48) or obesity (1.68, 1.53-1.86) during young adulthood. We also found strong associations between MHO and younger age groups, female gender (2.87, 2.40-3.42), being married (1.57, 1.08-2.27), Fars ethnicity (1.25, 1.10-1.43), higher socioeconomic status, ever use of tobacco (1.14, 1.00-1.30), never use of opium (1.85, 1.19-2.86), lower physical activity (1.45, 1.20-1.72), being normal weight in 15-year body pictogram and being overweight (1.87, 1.59-2.20) or obese (3.20, 2.74-3.72) in 30-year body pictogram when considering those with normal weight or MHO. Conclusion: Potentially modifiable factors including physical activity should be more emphasized. Furthermore, our study issued that it would be more reasonable that the prevention of unhealthy obesity be initiated before the development of MHO, where there are more protective factors and they could be more effective.

Prevalence and Incidence of Metabolic Syndrome and Its Components Among Waterpipe Users.

Objectives: To determine the associations between waterpipe use, duration, and intensity of use with prevalence and incidence of metabolic syndrome and its components (increased waist circumference, triglycerides, fasting glucose, blood pressure and decreased high-density lipoprotein cholesterol). Methods: We conducted cross-sectional and prospective analyses using data from the Pars Cohort Study in southern Iran, encompassing 9,264 participants at the baseline, and 5,002 randomly selected in a repeated follow-up. We used multivariate logistic regression models adjusted for age, sex, education, wealth score, physical activity and cigarette pack-years to report odds ratios (OR) and 95% confidence intervals (CI). Results: Among 9,264 participants, 3,119 (33.7%) had metabolic syndrome, and 3,482 (37.6%) had ever smoked waterpipe, with both more common in women than in men. In adjusted models, former waterpipe use was significantly associated with prevalence (OR = 1.43, 95% CI: 1.23-1.68) and incidence (OR = 1.57, 95% CI: 1.19-2.06) of the metabolic syndrome while current waterpipe use was not. Past use was associated with increased risk in all components of metabolic syndrome; current use was associated with increases in all except high blood glucose and hypertension. Past waterpipe users had higher waterpipe use intensity (before quitting) in comparison with current users (2.3 vs. 2.0 waterpipes per day, p < 0.01) and had started waterpipe smoking at a younger age (27.2 vs. 30.1 years, p < 0.01). Conclusion: Waterpipe use was associated with metabolic syndrome and its components, especially among former users potentially due to higher intensity and earlier initiation of use.

How Similar Are Drug Data and Disease Self-report? Estimating the Prevalence of Chronic Diseases in Less Developed Settings.

BACKGROUND: Drug data has been used to estimate the prevalence of chronic diseases. Disease registries and annual surveys are lacking, especially in less-developed regions. At the same time, insurance drug data and self-reports of medications are easily accessible and inexpensive. We aim to investigate the similarity of prevalence estimation between self-report data of some chronic diseases and drug data in a less developed setting in southwestern Iran. METHODS: Baseline data from the Pars Cohort Study (PCS) was re-analyzed. The use of disease-related drugs were compared against self-report of each disease (hypertension [HTN], diabetes mellitus [DM], heart disease, stroke, chronic obstructive pulmonary disease [COPD], sleep disorder, anxiety, depression, gastroesophageal reflux disease [GERD], irritable bowel syndrome [IBS], and functional constipation [FC]). We used sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the Jaccard similarity index. RESULTS: The top five similarities were observed in DM (54%), HTN (53%), heart disease (32%), COPD (30%), and GERD (15%). The similarity between drug use and self-report was found to be low in IBS (2%), stroke (5%), depression (9%), sleep disorders (10%), and anxiety disorders (11%). CONCLUSION: Self-reports of diseases and the drug data show a different picture of most diseases' prevalence in our setting. It seems that drug data alone cannot estimate the prevalence of diseases in settings similar to ours. We recommend using drug data in combination with self-report data for epidemiological investigation in the less-developed setting.

Effectiveness of polypill for primary and secondary prevention of cardiovascular disease: a pragmatic cluster-randomised controlled trial (PolyPars).

BACKGROUND: We aimed to investigate the effectiveness of fixed-dose combination therapy (polypill) for primary and secondary prevention of major cardiovascular diseases in a typical rural setting. METHODS: The PolyPars Study is a two-arm pragmatic cluster-randomised trial nested within the PARS cohort study, including all residents aged over 50 years in the entire district in southern Iran. The 91 villages underwent random allocation into two arms: the control arm, encompassing 45 clusters, was subjected to non-pharmacological intervention (educational training on healthy lifestyle), whereas the intervention arm, comprising 46 clusters, received the non-pharmacological interventions in conjunction with a once-daily polypill tablet. This tablet comprised two antihypertensive agents, a statin and aspirin. The primary outcome was the first occurrence of major cardiovascular events defined as a composite of hospitalisation for acute coronary syndrome (non-fatal myocardial infarction and unstable angina), fatal myocardial infarction, non-fatal and fatal stroke, sudden death and heart failure. The Cox regression model, with shared frailty, was used to account for clustering effect. RESULTS: During December 2015-December 2016, a total of 4415 participants aged 50-75 years were recruited (2200 participants in the intervention arm and 2215 participants in the control arm). The overall median of follow-up duration was 4.6 years (interquartile interval 4.4-4.9). The achieved adherence rate to polypill in intervention arm was 86%. In the control group, 176 (8.0%) of 2215 participants developed primary outcome, compared with 88 (4.0%) of 2200 participants in the polypill group. We found substantial reduction in risk of primary outcome both in relative and absolute scales (HR 0.50, 95% CI 0.38 to 0.65; absolute risk reduction 4.0%, 95% CI 2.5% to 5.3%). No difference in serious adverse events was observed between the two groups. CONCLUSIONS: The fixed-dose combination therapy using polypill can safely halve the risk of major cardiovascular diseases at the population level. TRIAL REGISTRATION NUMBER: NCT03459560.

Prevalence and Correlates of Polypharmacy, and Drug Utilization Pattern in a Semi-urban Population: Results from the Pars Cohort Study.

BACKGROUND: Although polypharmacy is considered a major predictor of irrational use of drugs, little is known about polypharmacy in developing regions. We aimed to indicate the prevalence and correlates of polypharmacy and to determine the medication profile at the population level in southern Iran. METHODS: In this cross-sectional study, we analyzed data from participants of the Pars Cohort Study (PCS) (aged above 40 years, N=9269). Polypharmacy was defined as using five or more medications concurrently. A Poisson multivariable model was applied to estimate the adjusted prevalence ratios (APRs) of various risk factors. The Anatomical Therapeutic Chemical (ATC) classification system was used for classifying medications. RESULTS: Prevalence of polypharmacy was 10.4%, (95% CI: 9.75; 11.08) and it was higher among females (15.0%), older adults (age≥65 years) (16.0%), and individuals with more than two chronic conditions (31%). Being female, educated, married, and not having a low socio-economic class were independently associated with a higher likelihood of polypharmacy. The most prevalent medications among female participants were sex hormones and modulators of the genital system (58.4%), drugs for acid-related disorders (14.6%), and anti-anemic preparations (13.6%,). On the other hand, males were using acid-related disorders (14.6%), anti-inflammatory and anti-rheumatic products (7.8%), and beta-blocking agents (6.3%). CONCLUSION: The prevalence of polypharmacy in our sample was relatively low, especially among males. Cardiovascular drugs, acid suppressants, hormonal contraceptives, and anti-anemic preparations are drug classes with the highest contribution to polypharmacy.

Estimation of 10-Year Risk of Cardiovascular Diseases Using WHO Risk Prediction Charts: A Population-Based Study in Southern Iran.

Background: An effective strategy for primary prevention of Cardiovascular Disease (CVD) is accurate diagnosis and the subsequent evidence-based treatment for high-risk people. This study aimed to estimate the 10-year risk of CVD and its related factors. Methods: The baseline data of 8138 participants of the Pars cohort study (PCS) in southern Iran were used. Risk scores were calculated using the updated 2019 WHO CVD risk prediction charts. The scores were determined based on age, gender, current smoking status, systolic blood pressure (SBP), diabetes status, and total serum cholesterol. Demographic and socioeconomic variables, physical activity, and anthropometric indices were measured and analyzed. Multivariable logistic regression was applied to estimate the adjusted odds ratio (aOR) and 95% confidence intervals (CI). Results: The mean (SD) age of the participants was 51.65 (9.06) years, and 53.44% were female. The 10-year CVD risk for 23.89% of participants was ≥10%. The prevalence of hypertension, diabetes, hypercholesterolemia, and smoking was 12.79%, 8.38%, 12.80%, and 14.41%, respectively. Having abdominal obesity, having low or moderate physical activity, being illiterate or having diplomas or lower degrees, and being in the third quartile of the wealth score group were associated with a higher 10-year risk of CVD. Conclusion: About one-fourth of the participants had moderate risk and higher. Due to the relatively high prevalence of CVD risk factors in the middle-aged population, the modifiable risk factors are recommended to be adjusted. Additionally, individual- and community-based educational policies are essential to create a healthy lifestyle.

Validity of Body Image Pictogram to Determine Overweight/Obesity in Adults from Less Developed Populations: Results From Pars Cohort Study.

BACKGROUND: Despite the evidence for validity of body image pictogram (BIP) to discriminate overweight, obese, and normal individuals, there is little evidence on the probable effect of socio-demographic variables on its validity. To investigate the effects of socioeconomic status (SES), age, ethnicity, and educational level on the validity of BIP to discriminate normal weight, overweight, and obese people. METHODS: We used the Pars Cohort Study (PCS) data. Stunkard's BIP score was used as test measure. Participants were classified as normal (body mass index [BMI]<25), overweight (BMI=25 to 29.9), and obese (BMI≥29.9) based on their BMI (kg/m2 ). Area under curve (AUC) and its 95% CI were estimated and compared. Optimal cutoff points and their sensitivity, specificity, and likelihood ratio were reported. RESULTS: A total of 9232 participants with a female/male ratio of 1.03 were included. The prevalence of overweight and obesity was 37.4% and 18.2%, respectively. Regardless of socio-demographic levels, the optimal cut-points to discriminate normal BMI from overweight, and overweight from obese participants were BIP score of four and five, respectively. Estimated AUC correlated with ethnicity (P<0.001) for both genders, and with SES for females (P<0.05). CONCLUSION: Although BIP may be a valid measure to categorize the general adult population into normal, overweight and obese, its validity depends on SES and ethnicity. BIP may be available as a proxy measure for BMI categories in socio-demographically homogeneous populations but not in heterogeneous populations.

Pictogram Is a Valid Instrument to Classify At-Risk Adult Population Based on Abdominal Obesity: Results from Pars Cohort Study.

BACKGROUND: Abdominal obesity is associated with increased risk of myocardial infarction and death events. Thus, obtaining data on the status of abdominal obesity is important in risk factor assessment and prevention of non-communicable diseases. This study aimed to evaluate the validity of using pictograms to classify abdominal obesity indices (waist circumference [WC], waist-hip ratio [WHR], and waist-height ratio [WHtR]) into normal and at-risk categories and determine the effects of demographic characteristics on this validity. METHODS: This cross-sectional study used data from Pars Cohort Study (PCS). Participants chose the most similar pictogram scores to their body size at 15, 30 years, and current age. Optimal normal/at-risk cut-off values for pictograms were calculated using sensitivity/specificity plots. Receiver operating characteristic curves were used to evaluate the validity of pictograms. Validity measures were analyzed across different subgroups of demographic characteristics. RESULTS: A total of 9263 participants (46% males) were included in the study. The estimated area under the curves were 84% for WC, 77% for WHR, and 89% for WHtR in males, and 84% for WC, 73% for WHR, and 90% for WHtR in females. Optimal pictogram cutoffs to classify central obesity for WC, WHR, and WHtR were 4, 4, and 5 in males and 4, 4, and 6 in females, respectively. The majority of demographic characteristics were not associated with the validity of pictograms. CONCLUSION: Using pictograms to determine normal and at-risk categories of abdominal obesity indices is valid among adult population with a wide range of demographic characteristics. However, the results need to be interpreted with caution in those with a positive history of weight fluctuation.

The pattern of medication use, and determinants of the prevalence of polypharmacy among patients with a recent history of depressive disorder: results from the pars cohort study.

BACKGROUND: Inappropriate medication use among individuals with depressive disorders (DD) is a rising public health challenge. We aimed to investigate the polypharmacy and its determinants among individuals with DD in a less developed region, and evaluate the pattern of medication use in this population. METHODS: Data was extracted from Pars Cohort Study (PCS) between 2016 and 2019. Participants were asked to bring all the medication they were using regularly, and history of DD during the last 12 months prior to study was obtained. The Anatomical Therapeutic Chemical classification was applied and polypharmacy was defined as concurrent use of five or more medications. Logistic regression models were developed to estimate the associations between polypharmacy and DD, adjusted for relevant covariates. The prevalence of consumption of each drug class was estimated among males, females, and elders. Logistic regression was applied and the adjusted odds ratio (OR) and its 95% confidence interval (CI) were estimated. RESULTS: A total of 9264 participants with a mean age of 52.6 (SD: 9.7) were enrolled. The prevalence of polypharmacy was 22.6% [95% CI (20.7-24.6)]. The most common drug classes were genitourinary system (55.4%) and nervous system (29.1%) medication, respectively. Recent history of DD was reported among 19.4% (n = 1795) participants, the majority of whom were females. Factors associated with polypharmacy include female gender (OR: 1.51), Fars ethnicity (OR: 1.52), lower physical activity (OR: 1.74), and higher socioeconomic status (OR: 1.40). The prevalence of antidepressant use among males was higher than females (P < 0.001). CONCLUSION: The prevalence of polypharmacy is high among patients with a recent history of depressive disorder. Females, individuals with higher socioeconomic status and lower physical activity, and those who use tobacco are more likely to be polymedicated. Surveillance measures need to be established to monitor the patterns of medication use among individuals with depressive disorders.

Agreement between laboratory-based and non-laboratory-based Framingham risk score in Southern Iran.

The Framingham 10-year cardiovascular disease risk is measured by laboratory-based and non-laboratory-based models. This study aimed to determine the agreement between these two models in a large population in Southern Iran. In this study, the baseline data of 8138 individuals participated in the Pars cohort study were used. The participants had no history of cardiovascular disease or stroke. For the laboratory-based risk model, scores were determined based on age, sex, current smoking, diabetes, systolic blood pressure (SBP) and treatment status, total cholesterol, and High-Density Lipoprotein. For the non-laboratory-based risk model, scores were determined based on age, sex, current smoking, diabetes, SBP and treatment status, and Body Mass Index. The agreement between these two models was determined by Bland Altman plots for agreement between the scores and kappa statistic for agreement across the risk groups. Bland Altman plots showed that the limits of agreement were reasonable for females < 60 years old (95% CI: -2.27-4.61%), but of concern for those ≥ 60 years old (95% CI: -3.45-9.67%), males < 60 years old (95% CI: -2.05-8.91%), and males ≥ 60 years old (95% CI: -3.01-15.23%). The limits of agreement were wider for males ≥ 60 years old in comparison to other age groups. According to the risk groups, the agreement was better in females than in males, which was moderate for females < 60 years old (kappa = 0.57) and those ≥ 60 years old (kappa = 0.51). The agreement was fair for the males < 60 years old (kappa = 0.39) and slight for those ≥ 60 years old (Kappa = 0.14). The results showed that in overall participants, the agreement between the two risk scores was moderate according to risk grouping. Therefore, our results suggest that the non-laboratory-based risk model can be used in resource-limited settings where individuals cannot afford laboratory tests and extensive laboratories are not available.

Oral Health Status in the Pars Cohort Study.

BACKGROUND: Poor oral health is common in the world, especially in low-income and developing countries. We evaluated oral health status and its association with sociodemographic and economic variables in one of the largest cohort studies in Iran. METHODS: This cross-sectional study was conducted using data from the Pars Cohort Study which is conducted in a rural area in southern Iran. A total of 9264 individuals were enrolled in the initial registry. Data on sociodemographic and clinical characteristics were collected. Oral assessment was completed by trained physicians. Generalized negative binomial regression modeling was applied. RESULTS: Overall, data from 9264 participants entered the final analysis. The participants' mean age was 52.6 ± 9.7 years. In total, 8975 participants (96.8%) had at least one tooth loss and 1790 participants (19.3%) were edentulous. Female gender (incidence rate ratio [IRR]: 1.05, 95% CI: 1.02, 1.08) (IRR: 1.12, 95% CI: 1.07, 1.16), opium consumption (IRR: 1.17, 95% CI: 1.12, 1.22) (IRR: 1.23, 95% CI: 1.16 1.30), lower socioeconomic status (SES) (IRR: 1.07, 95% CI: 1.03, 1.10) (IRR: 1.10, 95% CI: 1.06, 1.15) and being illiterate (IRR: 1.23, 95% CI: 1.20, 1.26) (IRR: 1.36, 95% CI: 1.32, 1.41) were associated with higher decayed, missing and filled teeth (DMFT) and more tooth loss. CONCLUSION: Oral health was poor in our study sample, especially among older individuals, people with lower SES, illiterate participants, smokers and opiate consumers, which shows the need for improvement in oral health care.

Prevalence of Hepatitis B and C Infections and Associated Risk Factors in Pars Cohort Study, Southern Iran.

BACKGROUND Hepatitis B and C virus (HBV and HCV) infections rank among the most frequent infectious diseases with a rising worldwide burden. However, their epidemiology and risk factors are understudied in many regions, including Iran. METHODS This study was conducted as part of the Pars Cohort Study (PCS) in Valashahr district, Fars province (2012-2014). Participants received venipuncture for HBsAg and HCV antibody, followed by Polymerase Chain Reaction (PCR) testing. All infected people and their comparison groups completed a risk assessment questionnaire. RESULTS Overall, 9,269 people participated in the study; the majority were women and of Fars ethnicity. Prevalence of HBsAg and HCV antibody was 2.3% (n = 215) and 0.3% (n = 26), from whom 23% (n = 47) and 13% (n = 3) had indications for treatment, respectively. During follow-up, among HBsAg-positive individuals who were not on treatment, 62% tested negative for HBsAg, and in 2% HBV DNA had risen to treatment levels. Risk factors for HBV infection were illiteracy [OR = 3.43, 95% CI = 1.1, 10.3], and Turk ethnicity compared to Fars [OR = 1.58, 95% CI = 1.1, 2.3]. History of blood transfusion [OR = 2.00, 95% CI = 1.1, 3.5] and history of drug use [OR = 2.85, 95% CI = 1.1, 7.4] were associated with HCV infection, after adjustment. CONCLUSION Further epidemiological studies are needed to identify at-risk populations in different regions. Preventive interventions, including educational programs and transfusion safety strategies, are crucial for reducing the hepatitis burden.

Correction: Effectiveness of Polypill for Prevention of Cardiovascular Disease (PolyPars): Protocol of a Randomized Controlled Trial.

This corrects the article "Effectiveness of polypill for prevention of cardiovascular disease (PolyPars): protocol of a randomized controlled trial" published on 2020: Volume 23, Issue 08, Pages 548-556. Correction to: Arch Iran Med. 2020;23(8):548-556. doi: 10.34172/aim.2020.58. In the original version of this article, the recruitment period was wrongly reported to last from December 2014 to December 2015 in abstract and methods sections of the article. This is corrected into "from December 2015 to December 2016" in the PDF and HTML versions of the article. Also the "PolyIran" is changed to "PolyPars" in the last paragraph of the discussion section in the PDF and HTML versions of the article.

Upper Normal Limit of Serum Alanine Aminotransferase and Its Association with Metabolic Risk Factors in Pars Cohort Study.

BACKGROUND The range of serum alanine aminotransferase (ALT) varies in different sub-populations or countries. Its population-specific cut-off points may provide a more effective screening tool for non-alcoholic fatty liver disease (NAFLD). Objectives To investigate the upper normal level (UNL) of ALT and its association with metabolic syndrome (MS) in a semi-urban population in southern Iran. METHODS The baseline data of Pars Cohort Study was used. A total of 9264 subjects aged 40-75 years were enrolled. UNL of ALT was estimated based on 95 percentile of ALT in participants who had body mass index (BMI) < 25. Multivariable logistic regression was applied and adjusted odds ratio (OR) and its 95% confidence interval (CI) were estimated. RESULTS 95 percentile of ALT was 41.71 U/L and 32.9 U/L in men and women, respectively. Abnormal waist circumference (OR: 1.72, 95%CI: 1.34, 2.21), triglyceride (OR: 1.63, 95%CI: 1.25, 2.13), fasting blood sugar (OR: 1.69, 95%CI: 1.32, 2.16), cholesterol level (OR: 1.06, 95%CI: 1.03, 1.09) and systolic blood pressure (OR: 1.08, 95%CI: 1.01, 1.16) were independently associated with ALT. CONCLUSION UNL of ALT in southern Iranian women is lower than the current recommended level, while these are almost the same for men. MS components are highly common in southern Iran and are associated with elevated serum ALT. Further studies are recommended to estimate the UNL of serum ALT among the Iranian population with NAFLD.

Effectiveness of Polypill for Prevention of Cardiovascular Disease (PolyPars): Protocol of a Randomized Controlled Trial.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death in Iran. A fixed-dose combination therapy (polypill) was proposed as a cost-effective strategy for CVD prevention, especially in lower-resource settings. We conducted the PolyPars trial to assess the effectiveness and safety of polypill for prevention of CVD. METHODS: The PolyPars trial is a pragmatic cluster randomized controlled trial nested within the Pars Cohort Study. Participants were randomized to an intervention arm and a control arm. Participants in the control arm received minimal non-pharmacological care, while those in the intervention arm received polypill in addition to minimal care. The polypill comprises hydrochlorothiazide 12.5 mg, aspirin 81 mg, atorvastatin 20 mg, and either enalapril 5 mg or valsartan 40 mg. The primary outcome of the study is defined as the first occurrence of acute coronary syndrome (non-fatal myocardial infarction and unstable angina), fatal myocardial infarction, sudden cardiac death, new-onset heart failure, coronary artery revascularization procedures, transient ischemic attack, cerebrovascular accidents (fatal or non-fatal), and hospitalization due to any of the mentioned conditions. The secondary outcomes of the study include adverse events, compliance, non-cardiovascular mortality, changes in blood pressure, fasting blood sugar, and lipids after five years of follow-up. RESULTS: From December 2014 to December 2015, 4415 participants (91 clusters) were recruited. Of those, 2200 were in the polypill arm and 2215 in the minimal care arm. The study is ongoing. This trial was registered with ClinicalTrials.gov number NCT03459560. CONCLUSION: Polypill may be effective for primary prevention of CVDs in developing countries.

Epidemiology of Adult Diabetes Mellitus and its Correlates in Pars Cohort Study in Southern Iran.

BACKGROUND: The burden of diabetes mellitus (DM) is increasing worldwide, especially in countries such as Iran. Modifiable correlates of the DM may be different across regions. We aimed to estimate the population-based prevalence of DM and its correlates among adults in southern Iran. METHODS: Baseline data of the Pars Cohort Study (PCS) was analyzed. Demographic and socio-economic characteristics, alcohol consumption, opium and tobacco abuse and cigarette smoking, laboratory findings, anthropometric measurements and perceived body shape at 15 and 30 years of age using pictogram were measured and analyzed. The age-standardized prevalence of DM was estimated. Robust Poisson regression was applied to estimate adjusted prevalence ratio (aPR) and 95% robust confidence intervals (CI). A P value <0.05 was considered statistically significant. RESULTS: Out of 9264 individuals, 919 (9.9%; 95% CI: 9.3-10.6) had DM. The prevalence of DM among the males and females was 7.6% (95% CI: 6.8-8.5) and 11.9% (95% CI: 10.9-12.9), respectively. Higher age, female gender, high socioeconomic status and using antihypertensive medication were associated with higher DM prevalence. Also, triglyceride level, physical inactivity, higher body mass index (BMI), pictogram score at 15, and its change from 15 to 30 years of age were significantly associated with DM. CONCLUSION: Higher prevalence of modifiable factors such as physical inactivity and obesity among DM patients in the study population highlights the necessity of more effective preventive interventions in such settings, especially in younger ages.

Prevalence of Chronic Constipation and Its Associated Factors in Pars Cohort Study: A Study of 9000 Adults in Southern Iran.

BACKGROUND Chronic constipation is one of the most common gastrointestinal disorders. It has negative effects on the patients' quality of life, and their productivity, and results in a high economic burden on the healthcare services. The aim of the present study was to estimate the prevalence of chronic constipation and its associated factors in pars cohort study (PCS). METHODS A cross-sectional study was conducted on the baseline data of the PCS. Data gathering was done by structured questionnaire and physical examination. A total of 9264 subjects aged between 40 and 75 years were enrolled in the PCS. Diagnosis of chronic constipation was done using Rome IV criteria. Multivariable binary logistic regression was applied for data analysis. RESULTS A total of 752 (8.1%) participants were diagnosed as having chronic constipation (9.3% of female and 6.7% of male participants). Older age (OR: 1.55, 95% CI: 1.31-1.83), physical activity (OR: 0.56, 95% CI: 0.46-0.68), opium consumption (OR: 2.06, 95% CI: 1.63-2.60) , anxiety (OR: 1.38, 95% CI: 1.15-1.65), depression (OR: 1.22, 95% CI: 1.01-1.48), back pain or arthralgia (OR: 1.38, 95% CI: 1.14-1.67), insomnia (OR: 1.62, 95% CI: 1.36-1.93) and gastroesophageal reflux disease (OR: 1.51, 95% CI: 1.28-1.78) were associated with the prevalence of constipation in the multivariable analysis. CONCLUSION Chronic constipation was a common problem in the PCS population. Decreasing modifiable risk factors associated with constipation such as opium consumption and physical inactivity can reduce its prevalence and decrease burden of the disease.

Prevalence, Awareness, Treatment, Control, and Correlates of Hypertension in the Pars Cohort Study.

BACKGROUND: High blood pressure is an important risk factor for all-cause mortality and cardiovascular mortality and morbidity among Iranians. We aimed to estimate its prevalence, correlates, and its rate of awareness, treatment, and control in South of Iran. METHODS: The Pars Cohort Study (PCS) was launched in a district of Fars province. All residents between 40 and 75 years old in the district were recruited from 2012 to 2014. Hypertension was defined as either systolic/diastolic blood pressure ≥ 140/90 mm Hg or taking medications. Logistic regression was used to identify the correlates of hypertension and awareness and its treatment and control. A total of 9264 participants were recruited. Of the total participants, 46.2% were men. The mean age was 52.6 years (SD: 9.7). RESULTS: Prevalence of hypertension was 26.9%. Of the total 2489 hypertensives, 49.6% were aware and 55.7% were under treatment. Blood pressure was controlled in 69.2% of treated hypertensives. In the adjusted model, female sex and history of cardiovascular disease (CVD) were positively associated with having hypertension, higher awareness, and better treatment and control. Older age, being overweight or obese, and having a history of diabetes were also positively associated with having hypertension and higher awareness and treatment; however, being overweight or obese was associated with poorer hypertension control. Older age and having a history of diabetes did not show a statistically significant association with control. CONCLUSION: Being underweight and higher physical activity were inversely associated with having hypertension but were not associated with awareness, treatment, or control. Prevalence of hypertension is high but the rates of awareness, treatment, and control are not adequate.