| Title: | Association of sleep traits with benign prostatic hyperplasia in middle-aged and elderly men: A prospective analysis in UK Biobank |
| Journal: | Geriatrics and Gerontology International |
| Published: | 19 May 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38764254/ |
| DOI: | https://doi.org/10.1111/ggi.14897 |
Publication 12044
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Abstract
AIMS: The association of sleep traits (insomnia, sleep duration, chronotype, daytime sleepiness, and snoring) with benign prostatic hyperplasia (BPH) is unclear. This research aimed to examine the effects of sleep traits on BPH risk.</p>
METHODS: A total of 170 241 men aged 38 to 73 years from UK Biobank were included. An overall healthy sleep score was created based on five sleep traits. A Cox regression model was utilized to compute adjusted hazard ratios (HRs) and population attributable fractions (PAFs) with 95% confidence intervals (CIs) for BPH risk in relation to sleep traits.</p>
RESULTS: During a median of 12.0 years follow-up, 13 026 incident BPH cases occurred. We observed that sleep duration (7-8 h/d; HR 0.95; 95% CI 0.92-0.99), no frequent insomnia (HR 0.71; 95% CI 0.69-0.74), and no frequent daytime sleepiness (HR 0.86; 95% CI 0.79-0.93) were significantly related to reduced BPH risk. Each one-point increment of the healthy sleep score was related to a decreased BPH risk, with an adjusted HR of 0.90 (95% CI 0.89-0.92). The multivariable-adjusted HR in men adopting five versus zero to one low-risk sleep traits was 0.68 (95% CI 0.61-0.75) for BPH risk. Estimates of the PAF indicated that 9.1% (95% CI 5.8-12.5%) of BPH cases would be prevented if all individuals had adopted all five low-risk sleep traits, assuming causality.</p>
CONCLUSIONS: Our study indicates an association between a healthy sleep pattern and a lower risk of BPH, emphasizing the importance of adhering to such patterns for potentially reducing BPH risk. Geriatr Gerontol Int 2024; 24: 675-682.</p>
11 Authors
- Yougen Wu
- Wei Wang
- Yang Wang
- Yang Zhao
- Dongfang You
- Wei Zhang
- Ju Xia
- Yuting Gu
- Qingqing Qian
- Yang Hong
- Guangchun Sun
1 Application
| Application ID | Title |
|---|---|
| 71993 | Machine-Learning and classic statistic models for predicting common chronic diseases risk and clinical outcomes |
Enabling scientific discoveries that improve human health