The association between anthropometric indices and ischemic heart disease: a large-scale cross-sectional study on the Iranian population.

This study aimed to evaluate the superiority of anthropometric indices compared to others for predicting ischemic heart disease (IHD) or cardiometabolic risk factors. This study was a cross-sectional analysis of the Pars Cohort Study data. In total, 9229 Valashahr inhabitants aged 40-75 were included in the analysis. The area under the receiver operating characteristic curve (AUC) analyses was used to compare the predictive accuracy of four anthropometric measures, including body mass index, waist to height ratio (WHtR), waist to hip ratio (WHR), and waist circumference (WC). IHD prevalence was 10.4% in our sample. The prevalence of diabetes mellitus (DM), hypertension, dyslipidemia, and metabolic syndrome was 12.7%, 29.2%, 58.4%, and 22.3%, respectively. All anthropometric indices had poor to good accuracy in predicting IHD risk factors, with AUCs ranging between 0.580 and 0.818. WHR was the most accurate measure for predicting IHD in both genders. All indexes had a better accuracy for predicting DM, dyslipidemia, and metabolic syndrome (MetS) in males than in females. To conclude, anthropometric measures, especially WC and WHtR, are recommended for predicting metabolic syndrome in primary prevention settings. These simple indices could help physicians find those who need further evaluation for MetS.

Liver fibrosis in pars cohort study: A large-scale study on the prevalence and correlated factors.

BACKGROUNDS AND STUDY AIMS: The fibrosis-4 (FIB-4) is a non-invasive scoring system for estimating liver fibrosis severity as a biomarker of chronic liver disease. We aimed to estimate the prevalence and severity of chronic liver disease at the community level using FIB-4. PATIENTS AND METHODS: This cross-sectional study was conducted using the Pars Cohort database collected in Valashar, Fars province, Iran. Participants were divided into three groups based on their FIB-4 scores: low risk of liver fibrosis (FIB < 1.45), intermediate cases (1.45 ≤ FIB-4 ≤ 3.25), and high risk of liver fibrosis (FIB-4 > 3.25). RESULTS: In total, 9269 individuals with a mean age of 52.65 years were enrolled in the study, of which 4278 (46.2 %) were male. Among all participants, 7853 (84.7 %) were in the low-risk, and 65 (0.7 %) were in the high-risk groups. In the final ordinal regression model, male gender, being a farmer or rancher, living in rural areas, history of opioid use, history of jaundice, no history of diabetes, history of depression, and positive HBs Ag were independently associated with higher FIB-4 scores. CONCLUSION: Our study revealed that males, individuals residing in rural areas, and those engaged in farming and ranching occupations face a heightened risk of liver fibrosis. These findings emphasize the need for future programs for early detection and effective management of liver fibrosis in these at-risk populations.