| Title: | CARE as a wearable derived feature linking circadian amplitude to human cognitive functions |
| Journal: | npj Digital Medicine |
| Published: | 11 Jul 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37433859/ |
| DOI: | https://doi.org/10.1038/s41746-023-00865-0 |
| URL: | https://www.nature.com/articles/s41746-023-00865-0.pdf |
Publication 10266
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Abstract
Circadian rhythms are crucial for regulating physiological and behavioral processes. Pineal hormone melatonin is often used to measure circadian amplitude but its collection is costly and time-consuming. Wearable activity data are promising alternative, but the most commonly used measure, relative amplitude, is subject to behavioral masking. In this study, we firstly derive a feature named circadian activity rhythm energy (CARE) to better characterize circadian amplitude and validate CARE by correlating it with melatonin amplitude (Pearson's r = 0.46, P = 0.007) among 33 healthy participants. Then we investigate its association with cognitive functions in an adolescent dataset (Chinese SCHEDULE-A, n = 1703) and an adult dataset (UK Biobank, n = 92,202), and find that CARE is significantly associated with Global Executive Composite (β = 30.86, P = 0.016) in adolescents, and reasoning ability, short-term memory, and prospective memory (OR = 0.01, 3.42, and 11.47 respectively, all P < 0.001) in adults. Finally, we identify one genetic locus with 126 CARE-associated SNPs using the genome-wide association study, of which 109 variants are used as instrumental variables in the Mendelian Randomization analysis, and the results show a significant causal effect of CARE on reasoning ability, short-term memory, and prospective memory (β = -59.91, 7.94, and 16.85 respectively, all P < 0.0001). The present study suggests that CARE is an effective wearable-based metric of circadian amplitude with a strong genetic basis and clinical significance, and its adoption can facilitate future circadian studies and potential intervention strategies to improve circadian rhythms and cognitive functions.</p>
9 Authors
- Shuya Cui
- Qingmin Lin
- Yuanyuan Gui
- Yunting Zhang
- Hui Lu
- Hongyu Zhao
- Xiaolei Wang
- Xinyue Li
- Fan Jiang
1 Application
| Application ID | Title |
|---|---|
| 57947 | Genotype and phenotype analysis in human brain of mental disorders |
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