Ji Eun Heo1, Jee-Seon Shim2, Bo Mi Song3, Hye Yoon Bae3, Ho Jae Lee3, Eun Lee4, Hyeon Chang Kim5. 1. Department of Public Health, Yonsei University Graduate School, Seoul, Republic of Korea; Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea. 2. Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. 3. Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea. 4. Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. 5. Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: hckim@yuhs.ac.
Abstract
BACKGROUND: The effects of skeletal muscle mass on depressive symptoms remain poorly understood, especially in the middle-aged population. We examined the relationship between skeletal muscle mass and depressive symptoms according to sex and menopausal status in the middle-aged Korean population. METHODS: Herein, 1,151 men and 2,176 women aged 30-64 years completed questionnaires and underwent health examinations in the Cardiovascular and Metabolic Disease Etiology Research Center study. Appendicular skeletal muscle mass (ASM) was measured via bioelectrical impedance analysis and adjusted for height squared (ASM/Ht2). Both continuous values and tertile groups of ASM/Ht2 were used for analysis. Depressive symptoms were assessed using the Beck Depressive Inventory-II (BDI), and the prevalence of depressive symptoms was determined as a BDI score ≥ 20. RESULTS: Multiple logistic regression analysis using a fully adjusted model showed that depressive symptoms were more frequently observed among men in the lower ASM/Ht2 tertile and middle ASM/Ht2 tertile than among those in the higher ASM/Ht2 tertile. Each 1-kg/m2 decrease in ASM/Ht2 was significantly associated with the presence of depressive symptoms in men. Such significant association was not observed among premenopausal and postmenopausal women. LIMITATIONS: The cross-sectional nature of the study design, measurement of skeletal muscle mass and depressive symptoms only once, estimation of skeletal muscle mass using bioelectrical impedance analysis, assessing depressive symptoms by self-reported questionnaire, and potential unknown confounding variables constitute the limitations of our study. CONCLUSIONS: The independent association between low skeletal muscle mass and depressive symptoms was observed in men but not in women.
BACKGROUND: The effects of skeletal muscle mass on depressive symptoms remain poorly understood, especially in the middle-aged population. We examined the relationship between skeletal muscle mass and depressive symptoms according to sex and menopausal status in the middle-aged Korean population. METHODS: Herein, 1,151 men and 2,176 women aged 30-64 years completed questionnaires and underwent health examinations in the Cardiovascular and Metabolic Disease Etiology Research Center study. Appendicular skeletal muscle mass (ASM) was measured via bioelectrical impedance analysis and adjusted for height squared (ASM/Ht2). Both continuous values and tertile groups of ASM/Ht2 were used for analysis. Depressive symptoms were assessed using the Beck Depressive Inventory-II (BDI), and the prevalence of depressive symptoms was determined as a BDI score ≥ 20. RESULTS: Multiple logistic regression analysis using a fully adjusted model showed that depressive symptoms were more frequently observed among men in the lower ASM/Ht2 tertile and middle ASM/Ht2 tertile than among those in the higher ASM/Ht2 tertile. Each 1-kg/m2 decrease in ASM/Ht2 was significantly associated with the presence of depressive symptoms in men. Such significant association was not observed among premenopausal and postmenopausal women. LIMITATIONS: The cross-sectional nature of the study design, measurement of skeletal muscle mass and depressive symptoms only once, estimation of skeletal muscle mass using bioelectrical impedance analysis, assessing depressive symptoms by self-reported questionnaire, and potential unknown confounding variables constitute the limitations of our study. CONCLUSIONS: The independent association between low skeletal muscle mass and depressive symptoms was observed in men but not in women.
Authors: Małgorzata Chlabicz; Marlena Dubatówka; Jacek Jamiołkowski; Paweł Sowa; Magda Łapińska; Andrzej Raczkowski; Wojciech Łaguna; Anna M Moniuszko-Malinowska; Napoleon Waszkiewicz; Irina Kowalska; Karol A Kamiński Journal: Sci Rep Date: 2021-11-08 Impact factor: 4.379
Authors: Hayder A Hasan; Hadia Radwan; Fatma Al Majid; Fatma Al Hilo; Rahaf Mohammed; Shooq Al Shaikh; Asma I Al Qassim; Hajer Aboubaker; Mirey Karavetian Journal: Acta Biomed Date: 2022-07-01