Association between sarcopenia and all-cause mortality: a study based on 2011-2020 CHARLS data

ZHU Feiyun; YANG Ying; PAN Mengshan; YIN Tongle; XU Jiamin; CHEN Rucheng; ZHENG Weijun

doi:10.16462/j.cnki.zhjbkz.2024.10.009

Volume 28 Issue 10

Oct. 2024

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2024 > 28(10): 1170-1175

ZHU Feiyun, YANG Ying, PAN Mengshan, YIN Tongle, XU Jiamin, CHEN Rucheng, ZHENG Weijun. Association between sarcopenia and all-cause mortality: a study based on 2011-2020 CHARLS data[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1170-1175. doi: 10.16462/j.cnki.zhjbkz.2024.10.009

Citation:

ZHU Feiyun, YANG Ying, PAN Mengshan, YIN Tongle, XU Jiamin, CHEN Rucheng, ZHENG Weijun. Association between sarcopenia and all-cause mortality: a study based on 2011-2020 CHARLS data[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1170-1175. doi: 10.16462/j.cnki.zhjbkz.2024.10.009

Citation:

ZHU Feiyun, YANG Ying, PAN Mengshan, YIN Tongle, XU Jiamin, CHEN Rucheng, ZHENG Weijun. Association between sarcopenia and all-cause mortality: a study based on 2011-2020 CHARLS data[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1170-1175. doi: 10.16462/j.cnki.zhjbkz.2024.10.009

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Association between sarcopenia and all-cause mortality: a study based on 2011-2020 CHARLS data

doi: 10.16462/j.cnki.zhjbkz.2024.10.009

Department of Statistics, School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053

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Corresponding author: ZHENG Weijun, E-mail: deardangjun@163.com
Received Date: 2024-01-31
Rev Recd Date: 2024-07-14

Available Online: 2024-12-11

Publish Date: 2024-10-10

Abstract

Abstract

Objective To explore the association between sarcopenia and all-cause mortality in adults aged 45 and older. Methods Data from the China health and retirement longitudinal study (CHARLS) from 2011-2020 were utilized. Sarcopenia was diagnosed according to the 2019 standards set by the Asian Working Group for Sarcopenia (AWGS). The logistic regression model was used to calculate the individual propensity score (PS), and then the inverse probability of treatment weighting (IPTW) method was employed to perform Cox proportional hazard regression model analysis. Results The study included 12 241 participants: 7 279 participants without sarcopenia, 3 036 with probable sarcopenia, and 1 926 with sarcopenia. After IPTW adjustment, participants with possible sarcopenia had a 46% increased risk of mortality (HR=1.46, 95% CI: 1.19-1.77) compared to those without sarcopenia, and participants with sarcopenia had a 99% increased risk (HR=1.99, 95% CI: 1.43-2.76). Conclusions This research underscores the significant impact of sarcopenia on the mortality risk within the Chinese population, highlighting that sarcopenia can significantly increase the risk of death in adults aged 45 and above.
- Sarcopenia,
- All-cause mortality rate,
- Elderly

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References(21)

References

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