Evidence map›Paper›PMID 42897616›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Frailty transitions and the risk of multisystem burden of chronic disease: a prospective cohort study in China.

Jian-Cheng Wu, Tingting Weng, Qiang Xu

Abstract read
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Article in Archives of public health = Archives belges de sante publique, 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

What it found

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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

3 authors.

Jian-Cheng WuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Tingting WengDepartment of Radiology, Tianjin Hospital of ITCWM Nankai Hospital, Tianjin, China.
Qiang XuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, China. xuqiang@tmu.edu.cn.

Funding

New Star of Excellence Project of Tianjin Medical University General Hospital 209060403205Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-3-008C
6 · The paper itself

Abstract

backgroundFrailty, defined by a decline in physiological reserve, is a key determinant of adverse health outcomes in older populations. While baseline frailty has been shown to predict the development of chronic diseases, the impact of changes in frailty status over time, particularly in rapidly ageing populations like China, remains poorly understood. This study aimed to assess how baseline frailty and its longitudinal transitions influence the incidence of chronic diseases across multiple organ systems.

methodsWe analysed data from 17,708 adults (aged ≥ 40) in the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018. Frailty was assessed using the Rockwood Frailty Index at baseline and at two-year follow-up, categorised as stable, improved, or worsened. We applied Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the onset of 13 major chronic diseases spanning cardiovascular, metabolic, respiratory, neurological, psychiatric, digestive, renal, and musculoskeletal systems.

resultsThe study included 9,807 to 16,882 participants across 13 disease-specific subgroups, with a median follow-up period of 6.2-6.8 years for baseline frailty status and 4.4-5.0 years for frailty transitions. Frail individuals were typically older, more likely to be female, unmarried, with lower education, higher BMI, and reported fewer hours of sleep. Baseline frailty was associated with significantly higher risks for all 13 chronic diseases, with the strongest association observed for psychiatric problems (HR 5.17, 95% CI 3.24-8.24). Worsening frailty over time was linked to elevated risks, particularly for asthma (HR 3.91, 95% CI 1.28-11.91), while improvements in frailty showed reduced risks, notably for kidney diseases (HR 0.37, 95% CI 0.22-0.63). The association was particularly strong in adults aged 40-65 years, indicating greater potential for risk modification in midlife.

conclusionsFrailty is a dynamic and modifiable predictor of multisystem chronic disease risk. Changes in frailty status offer valuable insights into future disease development, especially among middle-aged adults. Routine frailty monitoring in clinical settings may offer a strategic opportunity to delay or prevent the onset of chronic diseases through timely interventions. These findings emphasize the need for incorporating frailty-targeted strategies into public health and clinical care policies to enhance ageing-related disease prevention.

Indexed as

Chronic diseasesClinical care policiesDisease preventionFrailtyFrailty transitions

Identifiers

PMID42897616
PMCPMC13681876

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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.