Social network associated with depressed mood and sarcopenia among older adults in Taiwan
Copyright © 2023 Formosan Medical Association. Published by Elsevier B.V. All rights reserved..
BACKGROUND: Social isolation is increasing in aging societies; however, its relationship with depressed mood and sarcopenia is not well studied. This study aims to examine the influence of social network on depressed mood and sarcopenia among community-dwelling older adults in Taiwan.
METHODS: We collected data from a sample of 981 older adults residing in the community. These individuals received government-subsidized preventive healthcare services for adults at a district hospital in Taipei in 2021. The social network of the older adults who participated was assessed using the Lubben Social Network Scale, while depressed mood was assessed using the Geriatric Depression Scale. The definition of sarcopenia used in this study was based on the 2019 Asian Working Group for Sarcopenia.
RESULTS: According to this study, sarcopenia was present in approximately 15 % of older adults. Multiple logistic regression analysis showed that older adults who had poor social network and did not meet the recommended 150 min of regular physical activity per week were more likely to have depressed mood. Additionally, older adults who were older, underweight, did not engage in regular physical activity, and had poor social network were more likely to have sarcopenia.
CONCLUSION: Poor social network was associated with increased risks of depressed mood and sarcopenia among older adults.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
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Enthalten in: |
Journal of the Formosan Medical Association = Taiwan yi zhi - (2023) vom: 02. Dez. |
Sprache: |
Englisch |
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Beteiligte Personen: |
Lin, Yu-Hung [VerfasserIn] |
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Links: |
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Themen: |
Depressed mood |
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Anmerkungen: |
Date Revised 03.12.2023 published: Print-Electronic Citation Status Publisher |
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doi: |
10.1016/j.jfma.2023.11.004 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM365351903 |
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520 | |a Copyright © 2023 Formosan Medical Association. Published by Elsevier B.V. All rights reserved. | ||
520 | |a BACKGROUND: Social isolation is increasing in aging societies; however, its relationship with depressed mood and sarcopenia is not well studied. This study aims to examine the influence of social network on depressed mood and sarcopenia among community-dwelling older adults in Taiwan | ||
520 | |a METHODS: We collected data from a sample of 981 older adults residing in the community. These individuals received government-subsidized preventive healthcare services for adults at a district hospital in Taipei in 2021. The social network of the older adults who participated was assessed using the Lubben Social Network Scale, while depressed mood was assessed using the Geriatric Depression Scale. The definition of sarcopenia used in this study was based on the 2019 Asian Working Group for Sarcopenia | ||
520 | |a RESULTS: According to this study, sarcopenia was present in approximately 15 % of older adults. Multiple logistic regression analysis showed that older adults who had poor social network and did not meet the recommended 150 min of regular physical activity per week were more likely to have depressed mood. Additionally, older adults who were older, underweight, did not engage in regular physical activity, and had poor social network were more likely to have sarcopenia | ||
520 | |a CONCLUSION: Poor social network was associated with increased risks of depressed mood and sarcopenia among older adults | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Depressed mood | |
650 | 4 | |a Older adult | |
650 | 4 | |a Sarcopenia | |
650 | 4 | |a Social network | |
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700 | 1 | |a Lee, Yi-Hsuan |e verfasserin |4 aut | |
700 | 1 | |a Chan, Ding-Cheng |e verfasserin |4 aut | |
700 | 1 | |a Chang, Chia-Hsiu |e verfasserin |4 aut | |
700 | 1 | |a Yang, Kuen-Cheh |e verfasserin |4 aut | |
700 | 1 | |a Chang, Fong-Ching |e verfasserin |4 aut | |
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