Evidence map›Paper›PMID 41075031›Full record

ArticleAging clinical and experimental research2025

Associations between sarcopenia and its developed status with chronic lung disease in the middle-aged and older Chinese people.

Yi Zhang, Kemeng Zhang, Sui Huang, Mengchen Liu, Wenhan Li, Bijin Luo, Ping He

Abstract read
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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi Zhang *Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Kemeng Zhang *Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Sui HuangDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Mengchen LiuDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Wenhan LiDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Bijin LuoDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China.
Ping HeDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, Hubei, China. pinghe@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between sarcopenia and chronic lung disease (CLD) has not been widely studied. We conducted a retrospective cohort study using the China Health and Retirement Longitudinal Study (CHARLS) data to investigate the relationship between sarcopenia status and its developed status and CLD in the middle-aged and older Chinese people.

methodWe selected 4444 participants over the age of 45 from CHARLS in 2011. Sarcopenia status was defined according to the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria. CLD was defined as the presence of physician-diagnosed chronic lung disease. We retrospectively assessed their sarcopenia during 2011 and 2013, which were classified into never and newly developed sarcopenia, and these participants were followed from 2013 to 2018.

resultsDuring the 2011-2018 follow-up, 554 (12.4%) CLD events were identified. The new incidence rate of CLD in the sarcopenia group, newly developed sarcopenia group, low muscle mass alone group respectively 17.9% (54/302), 17.3% (39/226), and 13.8% (80/576). In the longitudinal analysis, individuals with sarcopenia [HR (95% CI): 1.468(1.068-2.017)] (P<0.01), newly developed sarcopenia [HR (95% CI): 1.486(1.031-2.141)] (P<0.05) and low muscle mass alone [HR (95% CI):1.555(1.174-2.059)] (P<0.01) were more likely to have new onset CLD.

conclusionSarcopenia, newly developed sarcopenia, and low muscle mass alone were associated with higher CLD risk among middle-aged and older Chinese adults. Therefore, early prevention and treatment of sarcopenia and avoiding its progression may help decrease the incidence of CLD.

Indexed as

Lung DiseasesSarcopeniaAgedChinaChronic DiseaseEast Asian PeopleFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRetrospective StudiesRisk FactorsChronic lung diseaseLow muscle massMiddle-aged and older Chinese peopleSarcopeniaSarcopenia conversion patterns

Identifiers

PMID41075031
PMCPMC12515244

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.