Evidence map›Paper›PMID 40375252›Full record

ArticleBMC public health2025

Association of frailty and its trajectory with the risk of cancer: evidence from the China health and retirement longitudinal study (CHARLS).

Qian Gao, Pengfei Li, Zhengyang Lu, Muye Ma, Nan Zhang, Youhua Lu, Jinming Yu

Abstract read
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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 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qian Gao *School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
Pengfei Li *School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
Zhengyang LuSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
Muye MaSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
Nan ZhangShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
Youhua LuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China. luyouhua@126.com.
Jinming YuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China. sdyujinming@126.com.

Funding

Shandong Provincial Humanities and Social Science Project 2022YYGL50
6 · The paper itself

Abstract

backgroundFrailty can be identified in both middle-aged and older adults. However, longitudinal studies that examine whether frailty is associated with incident cancer are currently lacking. This study aimed to comprehensively examine the impact of baseline frailty levels and their changing trajectories over time on the risk of cancer.

methodsWe assessed frailty status using the frailty index based on data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020. First, the association between baseline frailty and cancer risk was analyzed using the Cox proportional hazards model. Second, based on the CHARLS data from 2011 to 2020, we used Group-based trajectory modeling (GBTM) to identify trajectories of frailty development during the four follow-up periods from 2011 to 2020. Cox proportional hazards model was used to analyze the association between frailty trajectories and the risk of cancer incidence during the follow-up period.

resultsA total of 17,708 participants were involved at the baseline survey in CHARLS 2011. During a mean follow-up period of 8.05 years, 248 cancer events occurred. Compared with non-frailty individuals, participants in pre-frailty and frailty states had a 34% (hazard ratio [HR]: 1.34, 95% confidence interval [CI]: 1.03-1.75) and 66% (HR: 1.66, 95% CI: 1.07-2.56) increased risk of overall cancer incidence, respectively. Based on repeated measurements from 2011 to 2018, three trajectories of frailty were identified among 9,173 participants. Compared to the low-level stable group, the high-level increase group had the highest risk of cancer, with an associated HR (95% CI) of 5.43 (1.07-5.73). This was followed by the medium-level increase group, with an associated HR (95% CI 2.86 (1.27-6.43). When stratified by sex and age, participants aged ≥ 60 years and female participants in the high-level increase frailty group had a higher risk of developing cancer.

conclusionFrailty is associated with cancer risk. Medium and high levels of the frailty index are significantly associated with an increased risk of cancer incidence. In addition, more attention should be paid to the risk of cancer in people aged ≥ 60 years and in women with high levels of frailty.

Indexed as

FrailtyNeoplasmsAgedChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRetirementRisk FactorsCancer incidenceCHARLSCohort studyFrailty trajectory

Identifiers

PMID40375252
PMCPMC12080056

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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.