| Title: | Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study |
| Journal: | Nature Communications |
| Published: | 18 Feb 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36805455/ |
| DOI: | https://doi.org/10.1038/s41467-023-36546-5 |
| URL: | https://www.nature.com/articles/s41467-023-36546-5.pdf |
| Citations: | 46 (46 in last 2 years) as of 8 Aug 2024 |
Publication 7933
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
There is a growing interest in the role of timing of daily behaviors in improving health. However, little is known about the optimal timing of physical activity to maximize health benefits. We perform a cohort study of 92,139 UK Biobank participants with valid accelerometer data and all-cause and cause-specific mortality outcomes, comprising over 7 years of median follow-up (638,825 person-years). Moderate-to-vigorous intensity physical activity (MVPA) at any time of day is associated with lower risks for all-cause, cardiovascular disease, and cancer mortality. In addition, compared with morning group (>50% of daily MVPA during 05:00-11:00), midday-afternoon (11:00-17:00) and mixed MVPA timing groups, but not evening group (17:00-24:00), have lower risks of all-cause and cardiovascular disease mortality. These protective associations are more pronounced among the elderly, males, less physically active participants, or those with preexisting cardiovascular diseases. Here, we show that MVPA timing may have the potential to improve public health.18 Authors
- Hongliang Feng
- Lulu Yang
- Yannis Yan Liang
- Sizhi Ai
- Yaping Liu
- Yue Liu
- Xinyi Jin
- Binbin Lei
- Jing Wang
- Nana Zheng
- Xinru Chen
- Joey W. Y. Chan
- Raymond Kim Wai Sum
- Ngan Yin Chan
- Xiao Tan
- Christian Benedict
- Yun Kwok Wing
- Jihui Zhang
1 Application
| Application ID | Title |
|---|---|
| 58082 | Using Mendelian Randomization to investigate the causal associations between rest-activity patterns and common diseases |
Enabling scientific discoveries that improve human health