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Comparison of metabolic risk factors, lipid indices, healthy eating index, and physical activity among premenopausal, menopausal, and postmenopausal women. | LitMetric

Introduction: In this study, we aimed to compare metabolic risk factors, lipid indices, healthy eating index, and physical activity among premenopausal, menopausal, and postmenopausal women.

Methods: In this cross-sectional study, a total of 4,732 women participating in the Hoveyzeh Cohort Study were placed into three groups of premenopausal (n=736), menopausal (n=396), and postmenopausal (n=917) women, according to the inclusion and exclusion criteria .

Results: The prevalence of metabolic syndrome was 43.3%, 55.6%, and 62.8% in premenopausal, menopausal, and postmenopausal women, respectively. After menopause, the prevalence of hypertension (50.2%), dyslipidemia (61.2%), diabetes (37.7%), and abdominal obesity according to the Iranian guidelines (75.9%) was higher than before menopause. Based on the results, cardiovascular disease had the highest prevalence after menopause (23%). The weight-adjusted waist index (WWI) had the highest odds ratio (OR) among indices, with values of 2.94 and 1.93 in menopausal and postmenopausal women, respectively (P<0.001). According to the Healthy Eating Index-2015 (HEI-2015), the total consumption of fruits, vegetables, seafood, and protein was higher in premenopausal women than in postmenopausal women, and the consumption of foods containing sugar was higher in menopausal women than in premenopausal women. The results showed that the level of physical activity was the highest and the lowest in premenopausal and postmenopausal women, respectively (P<0.001).

Conclusion: Menopause leads to an increase in the prevalence of metabolic syndrome. The Atherogenic Index of Plasma (AIP), Triglyceride Glucose (TyG) index, WWI, and physical activity index increased in postmenopausal women compared to premenopausal women. The TyG index, WWI, and HEI-2015 did not show significant differences between the groups, based on the multiple regression analysis.

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http://dx.doi.org/10.2478/rjim-2024-0012DOI Listing

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