Comparison of metabolic syndrome and related factors in married pre-menopausal white- and blue-collar woman

Abstract

This study aimed to identify the prevalence and associated factors of metabolic syndrome in pre-menopausal married women with white-collar and blue-collar jobs. This study analyzed 4,447 women with jobs in the Korean National Health and Nutrition Examination Survey (2010–2018). The prevalence of metabolic syndrome was higher among blue-collar women (15.3%) than among white-collar women (10.5%). Age, family type, alcohol consumption, frequency of high-risk drinking, perceived health status, and body mass index (BMI) were significantly associated with metabolic syndrome in the white-collar (p < .05). Age, family type, frequency of eating out, and BMI were associated in the blue-collar (p < .05). Blue-collar women were more vulnerable to metabolic syndrome than white-collar ones. To prevent metabolic syndrome in pre-menopausal married women with jobs, lifestyle modifications such as mitigating obesity and reducing alcohol consumption with aging are necessary.