The Prevalence of Metabolic Syndrome, Scoring and Comparison in People with and without COPD: Evidence From Shahrekord PERSIAN Cohort Study

Abstract

Background Comorbidities are common in patients with Chronic obstructive pulmonary disease (COPD), including metabolic syndrome (MetS). This study aimed to determine the prevalence of MetS and its components in people with and without COPD. Methods This population-based study was performed on 6961 adult years in the Shahrekord Prospective epidemiological research studies in Iran. Data collection, spirometry indexes and COPD diagnosis were performed according to the cohort protocol from 2015 to 2019. The data were analyzed by two-independent sample t-tests, chi-square, and logistic regression models. P-value < 0.05 was considered as statistically significant. All analyses were conducted using stata statistical software: release 16 (stata Corp, College Station, Texas 77845 USA). Result The prevalence of MetS in patients with and without COPD was 28.4% and 31%, respectively. The most common component of MetS in people with COPD was low high-density lipoprotein cholesterol (HDL-c) (47.4%), waist circumference (WC) (43.9%), and High fasting blood sugar (FBS) (39.3%). There was a statistically significant difference in the frequency of respiratory problems between people with and without MetS. The age above 60 years (OR = 2.20, 95% CI: 1.72–2.80), woman gender (OR = 1.36, 95%CI: 1.49–1.97), obesity (OR = 11.17, 95%CI: 9.02–13.62), illiterate education (OR = 1.80, 95%CI: 1.49–2.17), and living in urban (OR = 1.96, 95%CI: 1.64–2.35) are stronger predictors of MetS in this population. Conclusion There was no significant difference in the prevalence of MetS between patients with and without COPD. spirometry parameters and respiratory problems in subjects with and without metabolic syndrome were significance.

Distribution and Prevalence of Refractive Error in Iranian Adult Population, A Cross- sectional Population-based Study (Results of the PERSIAN Eye Cohort Study(PECS))

“…Based on their current residence, participants were divided into urban and rural areas. Wealth score index(WSI) was estimated by multiple correspondence analysis(MCA) which is explained in the Persian Cohort Protocol (23).…”

Distribution and prevalence of refractive error in Iranian adult population results of the PERSIAN eye cohort study PECS

“…Criteria for rural and urban areas have been explained in the Persian cohort protocol paper 26 . Wealth score index (WSI) was estimated by multiple correspondence analysis (MCA) which is explained in the Persian Cohort Protocol 27 .…”