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Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity:
Hai-Hua Chuang1,2,3,4, Chen Lin5, Li-Ang Lee1,4,6
1College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Journal of Medical Internet Research
|June 5, 2024
Summary
This study found that circadian rhythm regularity, measured by a smartphone app, strongly correlates with adiposity indicators like BMI and body fat percentage. This suggests potential for app-based tracking in obesity prevention.
Area of Science:
- Chronobiology
- Obesity Research
- Digital Health
Background:
- Adiposity and circadian rhythm are linked, but their relationship requires further investigation.
- Comparing actigraphy with smartphone app-based circadian rhythm measurement is crucial for understanding digital health tool potential.
Purpose of the Study:
- To investigate the relationship between adiposity and circadian rhythm.
- To compare circadian rhythm measurements from actigraphy and a novel smartphone app.
- To hypothesize that the app offers more comprehensive data and stronger correlations with adiposity.
Main Methods:
- 78 participants (obesity, overweight, controls) wore actigraphy devices and used the Rhythm app for 4 weeks.
- Data collected included sleep time, chronotype, and circadian rhythm regularity.
- Correlations between adiposity indices and circadian rhythm indicators were analyzed, controlling for physical activity, age, and gender.
Main Results:
- App and actigraphy showed similar sleep onset/wake times, but the app indicated longer wake after sleep onset.
- The obesity group exhibited lower interdaily stability (IS) compared to controls using both methods.
- App-measured IS negatively correlated with BMI; both app and actigraphy IS correlated with body fat percentage and visceral adipose tissue area.
Conclusions:
- Interdaily stability (IS) is significantly correlated with adiposity indicators.
- Smartphone app-based circadian rhythm measurement, tracking human-smartphone interactions, shows promise for obesity research and prevention.
Keywords:
actigraphybody compositioncircadian rhythmhuman-smartphone interactioninterdaily stabilityobesity
