Evidence map›Paper›PMID 42693423›Full record

ArticleBMC public health2026

Investigating the association between angina and osteoporosis: a 20-year longitudinal cohort study of ELSA.

Ning Jiang, Lin Shen, Xiantie Zeng, Xinlong Ma

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Article in BMC public health, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ning Jiang *Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.ORCID 0009-0009-2310-9053
Lin Shen *Foot and Ankle Surgery, Tianjin University Tianjin Hospital, Tianjin, 300211, China.
Xiantie ZengFoot and Ankle Surgery, Tianjin University Tianjin Hospital, Tianjin, 300211, China.
Xinlong MaTianjin University Tianjin Hospital, Tianjin, 300211, China. maxinlong8686@sina.com.

Funding

National Natural Science Foundation of China Grant No. 82572860
6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is recognized as a major global health threat. Although an association between angina and osteoporosis was established, the underlying mechanisms connecting the two conditions were not clearly elucidated. Therefore, this study aims to systematically investigate the association between angina and OP of the English Longitudinal Study of Ageing (ELSA) database.

methodsThis longitudinal cohort study utilized data from Wave 1 to Wave 11 of the ELSA database. Participants free of angina and OP at baseline were included. Time-dependent Cox proportional hazards regression models were employed to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident OP. Multiple imputation and rigorous sensitivity analyses (e.g., E-value, bootstrap) were performed to ensure robustness. Additionally, a random forest model was utilized to evaluate the relative importance of covariates, and the overall classification performance of the multivariable model was assessed using the area under the Receiver Operating Characteristic curve (AUC). OP was defined as a self-reported physician diagnosis with persistent confirmation, and angina was defined as a self-reported physician diagnosis.

resultsA total of 6509 eligible participants were enrolled. During the follow-up, new-onset angina was significantly associated with an increased hazard of subsequent OP across all models. In the fully adjusted model, incident angina increased the risk of OP (HR = 1.621, 95% CI: 1.081-2.430, P = 0.02). Kaplan-Meier analysis demonstrated significantly lower OP-free survival probability in the new-onset angina group. Machine learning analysis confirmed time-dependent angina as a top predictor for incident OP. The AUC of the multivariable model was 0.793, indicating that the collective classification ability of all included variables was good.

conclusionAmong middle-aged and older adults initially free of these conditions, new-onset angina is an independent prognostic risk factor for subsequent osteoporosis. This longitudinal evidence clarifies the temporal relationship and highlights the need for OP surveillance in patients developing angina.

Indexed as

Angina PectorisOsteoporosisAgedDatabases, FactualEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsAnginaELSAOsteoporosisRandom forest modelRisk stratification analysis

Identifiers

PMID42693423
PMCPMC13540064

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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.