Abstract
BACKGROUND: Metabolic syndrome (MS) is a spectrum of disorders that includes dysglycemia, dyslipidemia, central obesity, and hypertension. South Asian Indians are more prone to harbor MS at a younger age compared to Caucasians. However, there is a lack of large-scale data correlating menopause to MS in South Asian settings. AIMS AND OBJECTIVES: The study aimed to determine the prevalence of MS and its components in pre- and postmenopausal women. It also assessed the relationship of age, menopausal status, personal and family history, anthropometric parameters, and biochemical markers to MS. MATERIALS AND METHODS: It was an interim analysis of a multicountry cross-sectional study in the South Asian Federation of Menopause Society (SAFOMS) countries: India, Pakistan, Bangladesh, Nepal, and Sri Lanka conducted through both online and physical methods. The survey questionnaire consisted of questions about details of personal history, demographics, and family history related to MS. Anthropometric measurements such as height, weight, basal metabolic index (BMI), waist circumference, and blood pressure readings were noted. Relevant history, history of polycystic ovarian syndrome, hypertensive disorders of pregnancy, and vasomotor symptoms were enquired. Biochemical evaluation of markers associated with MS was undertaken. RESULTS: In this interim analysis, 638 women were recruited. Out of them, 406 (63.6%) women were premenopausal and 232 (36.4%) were postmenopausal. 392 (61.4%) women had MS, while 246 (38.6%) women did not have MS. Increasing age, BMI, and visceral adiposity (waist circumference) were significantly correlated with incidence of MS. Raised fasting blood sugar, hemoglobin A1C, total cholesterol, low-density lipoprotein, serum triglyceride, and reduced high-density lipoprotein levels were significantly associated with the incidence of MS in both pre- and postmenopausal women. Peri- and postmenopausal hot flashes, night sweats, and sleep disturbances were also significantly associated with MS. Personal history of hypertension, diabetes, and dyslipidemia were the strongest factors to be associated with MS with a significantly high odds ratio. CONCLUSION: The study has highlighted the role of BMI and waist circumference as the first warning signs, which will encourage to go for regular biochemical screening through lipid profile and fasting blood glucose measurements. Our study is a stepping stone for all future studies for relation of menopause to MS.