Evidence map›Paper›PMID 41272561›Full record

ArticleBMC public health2025

Exploring social determinants of health in the context of metabolic and circadian influences on new hip fracture risk: longitudinal insights from CHARLS.

Peng Hu, Hongliang Du

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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Peng HuDepartment of Orthopaedic Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, No.99, Longcheng Street, Taiyuan, Shanxi Province, 030032, China. s.o.f_hitman47@163.com.
Hongliang DuDepartment of Orthopaedic Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, No.99, Longcheng Street, Taiyuan, Shanxi Province, 030032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of hip fractures is closely intertwined with social determinants of health (SDHs), metabolic factors, and circadian rhythm-related variables. Understanding the combined effects of these factors, particularly in the elderly population of China, has substantial public health implications.

methodsThis study utilized data from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2020), which included 11,928 individuals aged 45 years and older, all free from a history of hip fractures. Kaplan-Meier survival curves, multivariable Cox proportional hazards models, and restricted cubic spline (RCS) analysis were applied to explore the associations between SDHs and hip fracture risk, stratified by metabolic syndrome (MetS) and circadian rhythm syndrome (CircS). Sensitivity analyses and receiver operating characteristic (ROC) curves were conducted to validate the findings and assess the predictive performance.

resultsHigher SDHs scores were consistently associated with a reduced risk of hip fractures, particularly among individuals with MetS and CircS. For each unit increase in SDHs, the risk of first hip fracture was reduced by 14% (HR = 0.86; 95%CI, 0.77-0.95; P < 0.003). RCS analysis revealed a significant relationship between SDHs and the incidence of hip fractures across various metabolic and circadian rhythm subgroups (all P-values < 0.05, non-linear P > 0.05). Kaplan-Meier analysis demonstrated statistically significant differences in hip fracture incidence between SDHs groups (log-rank P < 0.001). ROC curve analysis demonstrated superior predictive accuracy for SDHs, with an AUC of 0.723 and 0.731, particularly among individuals with MetS and CircS.

conclusionsSDHs are independently associated with a decreased risk of hip fractures, with a particularly pronounced effect observed in individuals with MetS and CircS. These findings underscore the critical importance of addressing both social and metabolic factors in the prevention of hip fractures, especially within aging populations.

Indexed as

Circadian RhythmHip FracturesMetabolic SyndromeSocial Determinants of HealthAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsCHARLSCircadian rhythm syndromeHip fracturesMetabolic syndromeSocial determinants of health

Identifiers

PMID41272561
PMCPMC12639743

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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.