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- Title
Association between Depressive Symptoms and Sarcopenia in Older Individuals Requiring Long-Term Care.
- Authors
Ryo Sato; YoheiSawaya; Masahiro Ishizaka; Takahiro Shiba; Tamaki Hirose; Tomohiko Urano
- Abstract
Background: The association between depression and sarcopenia is unclear. Therefore, this study aimed to investigate the relationship between depressive symptoms and sarcopenia in older individuals requiring long-termcare. Methods: This cross-sectional study analyzed the baseline data of 121 older individuals who needed support and long-termcare in their daily lives and received daycare for adults betweenMarch 2019 and March 2021. We defined sarcopenia using diagnostic algorithms recommended by the Asian Working Group of Sarcopenia 2019 and classified all participants into three categories--robust, sarcopenia, and severe sarcopenia. Skeletalmusclemasswasmeasured using bioelectrical impedance, and depressive symptoms were assessed using the Geriatric Depression Scale-15. Results: Of the 121 participants, 57.9% were classified as having depressive symptoms. Participants with depressive symptoms had significantly more illnesses, including cerebrovascular disease, malnutrition, and sarcopenia, than thosewithout depressive symptoms.Multiple regression analysis showed that the depression was associated with skeletal muscle mass but not with grip strength or walking speed. Conclusion: Depressive symptoms are associated with cerebrovascular disease, malnutrition, and sarcopenia. In terms of the diagnostic factors for sarcopenia, depressive symptoms were associated with skeletal muscle mass but not with grip strength or walking speed.
- Subjects
SKELETAL muscle; CEREBROVASCULAR disease; CONFIDENCE intervals; NUTRITIONAL assessment; CROSS-sectional method; MULTIPLE regression analysis; SARCOPENIA; FISHER exact test; MANN Whitney U Test; ACTIVITIES of daily living; T-test (Statistics); MENTAL depression; RESEARCH funding; BIOELECTRIC impedance; MALNUTRITION; CHI-squared test; LOGISTIC regression analysis; ODDS ratio; DATA analysis software; LONG-term health care; ALGORITHMS; OLD age
- Publication
International Journal of Gerontology, 2023, Vol 17, Issue 3, p162
- ISSN
1873-9598
- Publication type
Article
- DOI
10.6890/IJGE.202307_17(3).0004