| Title: | Wearable device-measured circadian rest-activity rhythm with mortality risk in patients with cancer |
| Journal: | BMJ Health & Care Informatics |
| Published: | 9 Sep 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40930750/ |
| DOI: | https://doi.org/10.1136/bmjhci-2025-101553 |
| URL: | https://informatics.bmj.com/content/32/1/e101553.full.pdf |
Publication 19537
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Abstract
OBJECTIVES: The objectives were to examine the associations between accelerometer-measured circadian rest-activity rhythm (CRAR), the most prominent circadian rhythm in humans and the risk of mortality from all-cause, cancer and cardiovascular disease (CVD) in patients with cancer.</p>
METHODS: 7456 cancer participants from the UK Biobank were included. All participants wore accelerometers from 2013 to 2015 and were followed up until 24 January 2024, with a median follow-up of 9.00 years. The multidimensional parameters of the CRAR were calculated using the 7-day accelerometer data collected under free-living conditions. Cox proportional hazard models were used to evaluate the associations between CRAR and all-cause, cancer and CVD mortality.</p>
RESULTS: Among 7456 cancer patients (mean age: 65.7±6.87 years; 58.85% women) aged 44-79 years, 934 (12.5%) deaths occurred over 9.00 years (64 525 person-years). CRAR disruptions, including low amplitude, low mesor and high fragmentation, were significantly associated with an increased risk of all-cause mortality (adjusted HR range, 1.30-2.00), cancer (adjusted HR range, 1.46-1.83) and CVD mortality (adjusted HR range, 1.73-2.66) in patients with cancer.</p>
DISCUSSION: These associations were robust across various cancer types. In addition, CRAR disruptions, particularly low amplitude, exceeded multiple traditional risk factors such as poor sleep, smoking, alcohol consumption, obesity and unhealthy diet in predicting mortality.</p>
CONCLUSION: CRAR parameters may serve as novel and robust predictors of mortality in patients with cancer.</p>
15 Keywords
- Accelerometry
- Adult
- Aged
- Cardiovascular Diseases
- Circadian Rhythm
- Female
- Humans
- Male
- Middle Aged
- Neoplasms
- Proportional Hazards Models
- Rest
- Risk Factors
- United Kingdom
- Wearable Electronic Devices
14 Authors
- Xionge Mei
- Nana Zheng
- Biao Li
- Yue Liu
- Lulu Yang
- Tong Luo
- Ngan Yin Chan
- Joey Wy Chan
- Yaping Liu
- Xiao Tan
- Christian Benedict
- Yun Kwok Wing
- Jihui Zhang
- Hongliang Feng
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