Socioeconomic Status and Metabolic Syndrome in Southwest Iran: Results from Hoveyzeh Cohort Study(HCS)
Abstract BackgroundSocioeconomic status (SES) is a strong predictor of morbidity and premature mortality, especially non-communicable diseases (NCDs). However, the effect of these factors on Metabolic Syndrome (MetS) is not yet clear. This study is to assess the relationship between socioeconomic indicators and MetS.MethodsIn this prospective cohort study, 10009 people aged 35-70 years enrolled from May 2016 to August 2018. MetS was determined based on the standard national cholesterol education program (NCEP) - adult treatment panel III (ATP III) or NCEP-ATP III criteria. Demographics and socioeconomic data were gathered face to face by trained interviews. Also, lab, anthropometrics, and blood pressure measurements were assayed for participants. Logistic regression was used to estimate the association between SES and MetS, with adjustment of potential confounding variables. ResultsThe overall prevalence of MetS in participants was 39.1%. The crude odds ratios for all the assessed variables were statistically significant (p<0.05). After adjustment for age, sex, physical activity, smoking, and alcohol use as potential confounders, the results indicated significant direct independent associations between skill level (p=0.006) and Townsend index (p=0.002) with MetS, while no significant associations were seen between educational level and wealth status with MetS. ConclusionThe results of our study showed that SES is related to MetS. Among four assessed SES indicators, skilled levels and Townsend score had a stronger association with MetS. We recommend considering people’s SES when interventional programs are planning and conducting on MetS in each community.