| Title: | Shift Work, Genetic Factors, and the Risk of Heart Failure A Prospective Study of the UK Biobank |
| Journal: | Mayo Clinic Proceedings |
| Published: | 1 Jun 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35662426/ |
| DOI: | https://doi.org/10.1016/j.mayocp.2021.12.003 |
| Citations: | 2 (2 in last 2 years) as of 8 Aug 2024 |
Publication 7122
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Abstract
OBJECTIVE: To quantify the association of combined shift work and genetic factors with the incidence of heart failure (HF). PARTICIPANTS AND METHODS: This study included 242,754 participants with complete shift work information in the UK Biobank. Participants were followed from baseline (2006 to 2010) through January 31, 2018. The association between shift work and HF incidence was investigated separately in males and females using a Cox proportional hazards model adjusted for covariates. In addition, we established a polygenic risk score and assessed whether shift work alters genetic susceptibility to HF. RESULTS: The results showed a significant association of permanent night shift work with incident HF among females (hazard ratio, 2.25; 95% CI, 1.34 to 3.76; P=.002) after adjusting for age, and the association was attenuated in the fully adjusted model. Among men, we did not detect an association between shift work and HF. In addition, we observed that the association between the risk of HF and shift work was strengthened by high genetic risk. Permanent night shift work paired with high genetic risk, compared with low genetic risk, was suggested to be associated with the risk of HF in females (hazard ratio, 2.89; 95% CI, 1.05 to 7.94) but not in males. CONCLUSION: Shift work, particularly permanent night shift work, may increase the risk of HF in females, especially in those with high genetic risk.9 Authors
- Cheng Xu
- Zhenkun Weng
- Jingjia Liang
- Qian Liu
- Xin Zhang
- Jin Xu
- Qingguo Li
- Yong Zhou
- Aihua Gu
1 Application
| Application ID | Title |
|---|---|
| 55858 | The interaction effects of early life exposures and genetic susceptibility on human metabolomics and common metabolic diseases |
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