Evidence map›Paper›PMID 40464129›Full record

ArticleJournal of the American Heart Association2025

Association of Shift Work and Lifestyle With Aortic Aneurysm Incidence: A Large Prospective Cohort Study in the UK Biobank.

Xinyi Liu, Xiaoyang Zhang, Chen Gong, Haiou Hu, Zhiyu Qiao, Chengnan Li, Yipeng Ge, Junming Zhu

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xinyi LiuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.
Xiaoyang ZhangDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.ORCID 0009-0007-4034-4165
Chen GongDepartment of Hematology Beijing Anzhen Hospital of Capital Medical University Beijing China.
Haiou HuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.
Zhiyu QiaoDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.
Chengnan LiDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.
Yipeng GeDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.ORCID 0000-0003-2822-7111
Junming ZhuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center Beijing Anzhen Hospital of Capital Medical University Beijing China.ORCID 0009-0002-0441-0931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShift work is associated with various health problems, but its impact on aortic aneurysm (AA) is unclear. The role of lifestyle factors in this regard is also less clear. This study aimed to explore the combined effects of shift work and lifestyle on AA risk.

methodsA total of 213971 employed or self-employed participants from the UK Biobank were included in the study. Employment and lifestyle information was collected. Cox proportional hazards regression models were applied to assess the association between shift work and AA. Restricted cubic spline functions, mediation, interaction, and joint analyses were used to further explore the relationship between unhealthy lifestyle, shift work, and AA risk.

resultsAmong 213 971 participants, 1035 developed AA during a mean follow-up of 14.9 years. In fully adjusted models, shift work was associated with a significantly higher risk of AA (hazard ratio [HR], 1.24 [95% CI, 1.06-1.46]), with frequent shift workers showing an elevated risk (HR, 1.27 [95% CI, 1.03-1.57]). A dose-dependent relationship was observed between the unhealthy lifestyle score and the risk of AA, with the risk of AA increasing as the unhealthy lifestyle score increased. The joint effect of shift work and unhealthy lifestyle showed a significant association, particularly among shift workers with 4 to 5 unhealthy lifestyle factors (HR, 2.26 [95% CI, 1.63-3.14]).

conclusionsIn this cohort study, we found that shift work was significantly associated with an increased risk of AA. Additionally, unhealthy lifestyles, particularly smoking, may play a crucial role in this association. These findings underscore the need for targeted prevention strategies, especially for shift workers with unhealthy lifestyle factors.

Indexed as

Aortic AneurysmLife StyleShift Work ScheduleAdultAgedBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUK BiobankUnited Kingdomaortic aneurysmshift workUK Biobankunhealthy lifestyle

Identifiers

PMID40464129
PMCPMC12229209

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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.