Evidence map›Paper›PMID 42116348›Full record

ArticleMedicine2026

The impact of different combinations of body mass index and depressive status on the incidence of sarcopenia in middle-aged and older adults ≥45 years: A retrospective cohort study based on CHARLS follow-up data from 2011 to 2015.

Jinmei Lu, Kailei Li, Sumin Wu, Haiming Feng, Zhouzhou Dong, Zaixing Zheng

Abstract read
In one paragraph

Article in Medicine, 2026. 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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2 · The registry

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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

6 authors.

Jinmei LuDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Kailei LiDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Sumin WuDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Haiming FengDepartment of Cardiology, Ningbo NO.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang, China.
Zhouzhou DongDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Zaixing ZhengDepartment of Cardiology, Ningbo NO.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang, China.ORCID 0000-0003-2482-7777

Funding

The Ningbo Major Research and Development Plan Project 2025Z176
6 · The paper itself

Abstract

Sarcopenia is a major public health concern among middle-aged and older adults. Although abnormal body mass index (BMI) and depression are recognized as independent risk factors for sarcopenia, longitudinal evidence regarding their combined impact remains limited. This retrospective cohort study utilized data from the China Health and Retirement Longitudinal Study, including the 2011 baseline survey and 2013 and 2015 follow-up surveys. Participants aged ≥ 45 years without baseline sarcopenia were categorized by BMI (overweight: ≥25 kg/m2; non-overweight: <25 kg/m2) and depressive status (Center for Epidemiologic Studies Depression Scale-10 ≥ 10). Cox proportional hazards regression model was used to examine associations with incident sarcopenia (Asian Working Group for Sarcopenia 2019 criteria). Among 7845 participants aged ≥ 45 years without baseline sarcopenia, 1294 cases of sarcopenia occurred during a median 4-year follow-up. Participants were classified into 4 groups based on baseline BMI and depressive status: non-overweight without depression (41.0%), non-overweight with depression (21.0%), overweight without depression (26.3%), and overweight with depression (11.7%). Groups differed significantly in sociodemographic characteristics, lifestyle factors, and chronic disease prevalence (P < .001). In the multivariable Cox analysis (Model 2, adjusted for sociodemographic, lifestyle, and chronic disease factors), compared with the overweight without depression group (reference), the non-overweight with depression group had the highest risk of developing sarcopenia (hazard ratio [HR] = 2.645, 95% confidence interval [CI]: 2.221-3.150), followed by the non-overweight without depression group (HR = 2.193, 95% CI: 1.858-2.588) and the overweight with depression group (HR = 1.326, 95% CI: 1.066-1.649). Subgroup analysis showed that this association was particularly significant in individuals aged < 65 years (P for interaction = .001); the non-overweight with depression group had a 3.395-fold higher risk than the reference group (95% CI: 2.713-4.250). Non-overweight with depression was the highest-risk combination for incident sarcopenia in adults ≥ 45 years, particularly those aged < 65 years. Combined assessment of body composition and psychological status may facilitate early identification and targeted intervention.

Indexed as

Body Mass IndexDepressionSarcopeniaAgedChinaFemaleFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleMiddle AgedOverweightProportional Hazards ModelsRetrospective StudiesRisk Factorsbody mass indexChina Health and Retirement Longitudinal Studydepressionrisk factorssarcopenia

Identifiers

PMID42116348
PMCPMC13166498

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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.