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.
Graphical abstract
Graphical Abstract
Abbreviations and Acronyms:
AP (attributable proportion), BMI (body mass index), CAD (coronary artery disease), CVD (cardiovascular disease), HF (heart failure), HR (hazard ratio), PRS (polygenic risk score), RERI (relative excess risk), SNP (single nucleotide polymorphism)To read this article in full you will need to make a payment
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Article Info
Footnotes
Grant Support: This work was supported by funding from the National Key Research and Development Program ( 2019YFA0802701 ), the National Science Foundation of China ( 81900281 , 91839102 , 91943301, and 82170503 ), The Joint Funds of the National Natural Science Foundation of China ( U21A20340 ), the China Postdoctoral Science Foundation ( 2021M691641 ), and Jiangsu Provincial Social Development Project (BE2021749).
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