Association of Depression, Anxiety, and Menopausal-Related Symptoms With Demographic, Anthropometric, and Body Composition Indices in Healthy Postmenopausal Women [ID 921]

INTRODUCTION: The termination of the menstrual cycle is associated with various physiological changes and symptoms that can adversely affect mood. This study investigates the relationships among anxiety, depression, and menopausal symptoms with demographic, anthropometric, and body composition indices in healthy postmenopausal women. METHODS: We randomly selected 320 menopausal women from health center referrals in Tabriz, Iran, between January and June 2018. Participants completed a demographic questionnaire, and bioelectrical impedance analysis assessed body fat mass (BFM), soft lean mass (SLM), and lean body mass (LBM). We employed the modified Kupperman index, Beck’s Depression Inventory-II, and Spielberger’s State-Trait Anxiety Inventory to evaluate menopausal symptoms, depression severity, and state and trait anxiety. RESULTS: Of the participants, 245 women aged 55.33 ± 4.48 years and with a body mass index (BMI) of 27.96 ± 3.22 kg/m 2 were analyzed. Women aged 55 and older (odds ratio [OR] 3.928; 95% CI, 1.504–10.256) and those with mild physical activity (OR 10.104; 95% CI, 3.785–26.976) exhibited higher chances of mild to moderate depression. Moderate to severe physical activity correlated with lower trait anxiety compared to mild activity (OR 0.372; 95% CI, 0.151–0.917). Higher BMI and BFM were linked to more severe menopausal symptoms (r=0.143, P =.025) and trait anxiety (r=0.198, P =.018). Lower LBM (r=−0.139, P =.031) and SLM (r= −0.128, P =.047) were associated with increased depressive symptoms. CONCLUSIONS/IMPLICATIONS: In conclusion, older age and lower physical activity in postmenopausal women are linked to higher depression and anxiety levels.