Evidence map›Paper›PMID 41392284›Full record

ArticleBMC public health2025

Associations of changes in frailty with multiple chronic diseases in middle aged and elderly adults.

Tianci Yao, Chengyun Liu, Kun Wang, Guangyu Gao, Xiaofang Zhao, Haohui Fan, Bei Song, Ting Liu, Xinyue Zhang, Xueke Guang and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Tianci Yao *Department of Endocrinology, Yueyang Central Hospital, Yueyang, China.
Chengyun Liu *Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Kun WangDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Guangyu GaoDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Xiaofang ZhaoDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Haohui FanDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Bei SongDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Ting LiuDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Xinyue ZhangDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Xueke GuangDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Hao ZhangDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Weilin LuDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China. weilinlu1109@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the impact of baseline frailty status on chronic disease risks has been well-established, evidence on the associations between changes in frailty status and the incidence of new-onset chronic diseases remains limited.

methodsA retrospective study of prospectively collected data from the China Health and Retirement Longitudinal Study (CHARLS) including 7 021 adults aged 45 years or older. Frailty status was evaluated by the Rockwood frailty index and classified as robust, pre-frail, or frail. Changes in frailty status were assessed by frailty status at baseline (2011) and the second survey (2013). All chronic diseases were identified by self-reported physician diagnosis. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs.

resultsCompared to stable robust participants, robust participants who progressed to pre-frail/frail status had significantly elevated risks of all chronic diseases studied (HRs: 1.38-2.73), except for cancer (HR: 1.32; 95% CI: 0.83-2.12). Pre-frail participants who progressed to frail status showed only significantly elevated risks of hypertension (HR: 1.34; 95% CI: 1.01-1.77) and memory disease (HR: 1.63; 95% CI: 1.11-2.39) compared to stable pre-frail participants. In contrast, pre-frail participants who recovered to robust status demonstrated decreased risks of CVD, heart disease, stroke, kidney disease, digestive disease, psychiatric disease, and memory disease than stable pre-frail participants (HRs: 0.39-0.66). Similarly, frail participants who recovered to robust/pre-frail status also showed decreased risks of CVD, stroke, diabetes, psychiatric disease, and memory disease compared to stable frail participants (HRs: 0.39-0.73).

conclusionsDifferent changes in frailty status are associated with different risks of new-onset chronic diseases. Progression of frailty status increases risks of almost all chronic diseases, while recovery of frailty status decreases risks of approximately half of all chronic diseases.

Indexed as

Frail ElderlyFrailtyMultiple Chronic ConditionsAgedAged, 80 and overChinaChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsChronic diseasesFrailtyFrailty indexMiddle-aged and older adults

Identifiers

PMID41392284
PMCPMC12821276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.