| Title: | Association of Noise Exposure, Genetic Susceptibility, and Lifestyle With Type 2 Diabetes: A Prospective Cohort Study |
| Journal: | Journal of Diabetes Research |
| Published: | 1 Jan 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41306536/ |
| DOI: | https://doi.org/10.1155/jdr/8974749 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/jdr/8974749 |
Publication 16900
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Abstract
Aims: We aimed to explore the relationship of noise exposure in the workplace, genetic risk, and lifestyle with Type 2 diabetes (T2D).</p>
Methods: A total of 154,708 participants without T2D in UK Biobank were included. A lifestyle score was determined using smoking, alcohol intake, physical activity, television viewing time, sleep duration, and diet.</p>
Results: During a median follow-up of 11.83 years (1,776,919.62 person-years), 5921 T2D cases were observed. Compared to no noise exposure, the hazard ratios (HRs) and 95% confidence intervals (CIs) were 1.06 (0.95-1.18) in less than a year, 1.01 (0.91-1.12) in around 1-5 years, and 1.11 (1.04-1.20) in more than 5 years, respectively. Compared to participants with low genetic risk and no noise exposure, individuals with high genetic risk and noise exposure for more than 5 years did not show the highest risk of T2D (HR = 1.16, 95%CI = 0.98-1.36). However, participants with the least healthy lifestyle and noise exposure for more than 5 years revealed a higher risk of T2D (HR = 1.72, 95%CI = 1.27-2.33).</p>
Conclusions: Prolonged noise exposure in the workplace is related to a higher risk of T2D.</p>
14 Keywords
- Adult
- Aged
- Diabetes Mellitus, Type 2
- Exercise
- Female
- Genetic Predisposition to Disease
- Humans
- Life Style
- Male
- Middle Aged
- Noise
- Prospective Studies
- Risk Factors
- United Kingdom
6 Authors
- Dongming Wang
- Luowen Zhou
- Xingjie Hao
- Zhaomin Chen
- Bing Wang
- Wenzhen Li
1 Application
| Application ID | Title |
|---|---|
| 88159 | Fine-mapping, genetic correlation and genetic risk prediction for complex traits in different populations |
Enabling scientific discoveries that improve human health