| Title: | Association of circadian rest-activity rhythms with cardiovascular disease and mortality in type 2 diabetes |
| Journal: | Diabetes Research and Clinical Practice |
| Published: | 20 Jan 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36690211/ |
| DOI: | https://doi.org/10.1016/j.diabres.2023.110262 |
| URL: | https://uu.diva-portal.org/smash/get/diva2:1730174/FULLTEXT01 |
| Citations: | 9 (9 in last 2 years) as of 8 Aug 2024 |
Publication 10990
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Abstract
AIMS: To examine the associations of disrupted circadian rest-activity rhythm (CRAR) with cardiovascular diseases and mortality among people with type 2 diabetes.</p>
METHODS: A total of 3147 participants with baseline type 2 diabetes (mean age 65.21 years, 39.78% female; mean HbA1c 50.02 mmol/mol) from UK Biobank were included. The following CRAR parameters were derived from acceleration data: interdaily stability (IS), intradaily variability (IV), relative amplitude (RA), most active 10 h period onset (M10 onset), and least active 5 h period onset (L5 onset). We used Cox proportional hazards models to estimate the associations of CRAR with cardiovascular diseases and mortality, adjusting for sociodemographic, lifestyle, and health characteristics.</p>
RESULTS: Participants in the lowest quartile of IS and RA exhibited the greatest risk of developing cardiovascular disease (IS, hazard ratio [HR]Q1 vs. Q4 1.40 [95% confidence interval (CI) 1.04, 1.88]; RA, HRQ1 vs. Q4 2.45 [95% CI 1.73, 3.49]). However, the association between delayed L5 onset and cardiovascular disease risk did not reach statistical significance. Additionally, we found that high IV and low RA were associated with all-cause and cardiovascular mortality.</p>
CONCLUSION: Objectively determined CRAR disturbances may increase the risk of cardiovascular diseases and mortality among people with type 2 diabetes.</p>
7 Authors
- Lulu Yang
- Hongliang Feng
- Jie Chen
- Yun Kwok Wing
- Christian Benedict
- Xiao Tan
- Jihui Zhang
1 Application
| Application ID | Title |
|---|---|
| 58082 | Using Mendelian Randomization to investigate the causal associations between rest-activity patterns and common diseases |
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