Evidence map›Paper›PMID 42851731›Full record

ArticleBMJ public health2026

Shifts in socioeconomic status alter cardiovascular disease risk and mortality through modulating Life's Crucial 9: a prospective cohort study of UK Biobank participants.

Song Hu, Guang-Zhi Liao, Jiang-Shan Tan, Tingting Guo, Zhennan Lin, Jian Zhang, Lu Hua

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Article in BMJ 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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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

7 authors.

Song Hu *Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Guang-Zhi Liao *State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Jiang-Shan TanState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Tingting GuoState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Zhennan LinPublic Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
Jian ZhangState Key Laboratory of Cardiovascular Disease, Heart Failure Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Lu HuaFuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, People's Republic of China.ORCID https://orcid.org/0000-0002-5687-9830

Funding

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6 · The paper itself

Abstract

Background: The impact of dynamic socioeconomic status (SES) shifts on cardiovascular disease (CVD) and mortality via cardiovascular health (CVH) remains unclear. Methods: We analysed UK Biobank data with complete SES information from baseline and resurvey (n=26 721). SES was measured by income, education and employment. CVH was assessed via Life's Crucial 9 (LC9). Outcomes included incident CVD, all-cause mortality and CVD mortality. We evaluated the effects of SES shifts on study outcomes, the temporal relationship between SES and CVH, and the mediation effect of CVH using Cox models, cross-lag panel analysis and mediation analysis, respectively. Results: Over a median of 5 years, 21.8% of participants shifted to lower SES, 10.2% to higher SES and 68.0% remained stable. Specifically, the total household income was the primary driver of the observed socioeconomic shifts, whereas education level and employment status remained relatively stable. During a median follow-up of 9.5 years, 1100 incident CVD cases and 1122 deaths occurred. After adjusting for covariates, those with other SES shift patterns had lower risks of all outcomes compared with those stable in low SES. Cross-lagged analysis showed baseline SES influenced resurvey CVH. Mediation analysis showed that CVH shift significantly mediated the effects of SES shift on incident CVD (6.33%), with a marginal effect on all-cause mortality (6.69%). Moreover, among the nine LC9 metrics, changes in healthy psychology, hypertension, diabetes mellitus, dyslipidaemia and smoking were the predominant mediators across outcomes. Conclusion: The evolution of the LC9 score partially mediated the association between SES shifts and the risks of CVD and mortality. Enhancing compliance with LC9 metrics may serve as one approach to reduce the adverse influences of SES shifts.

Indexed as

Cardiovascular DiseasesEpidemiologic MeasurementsEpidemiologyPublic Health

Identifiers

PMID42851731
PMCPMC13647016

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