Evidence map›Paper›PMID 40008027›Full record

ArticleRisk management and healthcare policy2025

Sarcopenia, Depressive Symptoms, and Fall Risk: Insights from a National Cohort Study in the Chinese Population.

Xiaoming Zhang, Dongmei Ye, Qingli Dou, Fayi Xie, Rui Zeng, Ke Zhu, Wan Zhu, Aizhang Zhu, Lihuan Chen, Yishan Wu and 8 more

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Xiaoming Zhang *Department of Emergency, The People's Hospital of Baoan Shenzhen, Shenzhen, Guangdong province, People's Republic of China.
Dongmei Ye *School of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Qingli Dou *Department of Emergency, The People's Hospital of Baoan Shenzhen, Shenzhen, Guangdong province, People's Republic of China.
Fayi XieSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Rui ZengSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Ke ZhuSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Wan ZhuSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Aizhang ZhuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Lihuan ChenSchool of Chinese Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Yishan WuSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Tenghui FanSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Pai PengSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Yuxu HuangSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Shunrui XiaoSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Jiahui BianSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Mengxia ShiSchool of Clinical Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Jiang WangSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi Province, People's Republic of China.
Wenwu ZhangDepartment of Emergency, The People's Hospital of Baoan Shenzhen, Shenzhen, Guangdong province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous investigations have indicated that both sarcopenia and depressive symptoms are linked to a heightened risk of falls. However, the potential synergistic effect of these conditions on fall risk remains unclear. This study aims to assess the combined influence of sarcopenia and depressive symptoms on the occurrence of falls in the Chinese population. Methods: The analysis included 8,405 participants from the China Health and Retirement Longitudinal Study (CHARLS), conducted from 2011 to 2015. Sarcopenia was confirmed using the 2019 Asian Working Group for Sarcopenia (AWGS) algorithm consisting of muscle strength, appendicular skeletal muscle mass (ASM), and physical performance. ASM was calculated using the formula: 0.193 × weight (kg) + 0.107 × height (cm) - 4.157 × sex - 0.037 × age (years) - 2.631. The Center for Epidemiological Research Depression Scale was utilized to assess depressive symptoms, with a cut-off score of 12 points. Depressive sarcopenia is defined as the coexistence of sarcopenia and depression. Multiple logistic regression analyses were conducted to explore the associations among sarcopenia, depressive symptoms, and fall occurrences. Results: During the four-year follow-up, 1,275 participants reported experiencing falls. A significant synergistic effect was identified between sarcopenia and depressive symptoms regarding fall risk. Compare to robust individuals, those with sarcopenia alone or depression alone had increased falls risks, but those with both conditions exhibited the highest fall risk, with adjusted odds ratios (OR) of 1.21 (95% CI 1.03, 1.42; Conclusion: The findings highlight a synergistic effect between sarcopenia and depressive symptoms on fall risk. This study highlights the importance of early detection and intervention for both conditions, especially in older and middle-aged individuals, to mitigate fall risk.

Indexed as

Chinese peopledepressionfallssarcopenia

Identifiers

PMID40008027
PMCPMC11853770

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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.