Evidence map›Paper›PMID 41053623›Full record

Observational studyBMC public health2025

A survey on the trajectory of frailty in the middle-aged and elderly population in the Chengdu community: a retrospective observational study.

Hang Zhao, Lujie Wei, Min Du, Xiaofeng Liu, Zhengping Tang, Jianping Li, Min Li, Pingyang Li, Xinzhu Chen, Yixiong Zheng and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hang ZhaoDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.ORCID http://orcid.org/0009-0005-5061-2923
Lujie WeiDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
Min DuNanbu County People's Hospital, Nanchong, Sichuan, 637399, China.
Xiaofeng LiuDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
Zhengping TangDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
Jianping LiDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
Min LiDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
Pingyang LiMeishan People's Hospital, Meishan, Sichuan, 620010, China.
Xinzhu ChenUniversity of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, China.
Yixiong ZhengChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China.
Cong DuHubei Minzu University, Enshi, Hubei, 445000, China.
Huaicong LongDepartment of Geriatric ICU,, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China. longhc69@163.com.

Funding

Technology Innovation R&D Project Fund of Chengdu Science and Technology Bureau 2021-YF05-02142-SN
6 · The paper itself

Abstract

backgroundFrailty, a prevalent clinical condition in the aging global population, increases the risk of disability, falls, and mortality. This study explores frailty trajectories and their influencing factors among middle-aged and elderly residents in Chengdu, China. MATERIALS AND

methodsFrom May 2022 to April 2023, a face-to-face survey was conducted with residents of six Chengdu communities aged 50-89. Participants, all with normal cognitive function, reviewed their health conditions from age 30 to their current age. A frailty index (FI) comprising 45 parameters was calculated for each age segment. Latent class trajectory models (LCTM) were developed, and multinomial logistic regression was used to identify independent influencing factors.

resultsWe collected 1007 valid responses, with 536 from individuals over 65 years old. Women completed 51.4% of the questionnaires. Based on the FI, 48.46% of participants had no frailty (FI = 0-0.1), 36.94% had mild frailty (FI = 0.1-0.2), and 14.60% had moderate frailty (FI > 0.2). The optimal LCTM for ages 31-70 identified four classes: Class1-high initial FI with rapid growth (n = 15, 2.80%), Class2-moderate growth (n = 215, 40.11%), Class3-slow growth (n = 187, 34.89%), and Class4-rapid growth (n = 119, 22.20%). Significant differences were observed between groups in terms of gender, service length, sleep quality, and number of chronic diseases. Class 1 had a higher proportion of females (86.67%), poorer sleep quality, and higher illness prevalence. Women were more likely to have fast-growing FI trajectories (OR = 2.25, 95% CI: 1.02-4.95), and alcohol consumption was linked to rapid FI increase (OR = 2.11, 95% CI: 1.06-4.20). Sleeping 7 + hours nightly before age 60 reduced the risk of fast-growing FI trajectories by 45% (OR = 0.55, 95% CI: 0.33-0.93).

conclusionsOver half of Chengdu's residents aged 50 and above show some degree of frailty. Women are more likely to experience fast-growing FI trajectories. Avoiding alcohol and ensuring adequate sleep are associated with a slower progression of frailty.

Indexed as

Frail ElderlyFrailtyAgedAged, 80 and overChinaFemaleGeriatric AssessmentHumansMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesCommunity-based populationFrailty indexFrailty trajectoryMiddle-aged and elderlyQuestionnaire

Identifiers

PMID41053623
PMCPMC12502431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.