Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

<b>Background:</b> This study aimed to empirically derive subgroups based on both actigraphy- and app-measured rest-activity rhythm (RAR) patterns and investigate the relationship between these profiles and health outcomes, including depression and obesity. <b>Methods:</b> We developed a mobile app, Rhythm, to record human-smartphone interactions and calculate RAR patterns alongside standard actigraphy in 135 participants (mean age: 43.8 ± 12.3 years, 64% women) with and without major depressive disorder and/or obesity. Wrist actigraphy and Rhythm app recorded activity data for at least 4 weeks, totaling 3978 person-days. Person-centered clustering was conducted to identify subgroups based on RAR characteristics, and their associations with clinical outcomes were evaluated using multivariable regression models. <b>Results:</b> Three distinct groups with different RAR patterns were identified based on acrophase, interdaily stability (IS), and intradaily variability (IV), measured by actigraphy and human-smartphone interactions, respectively. The "earlier" group exhibited earlier acrophase both by actigraphy and the app and had lower depressive symptom severity than the other two groups. The "later" group showed a later acrophase and a lower body mass index (BMI) compared to the "earlier" group. The "irregular" group, characterized by higher IV, lower IS, and desynchronized actigraphy- and app-measured acrophase, was associated with higher levels of depressive symptom severity and BMI. <b>Conclusions:</b> Our study highlights the usefulness of human-smartphone interaction patterns in providing a comprehensive understanding of individuals' circadian rhythms beyond standard actigraphy measurements. Identifying distinct RAR profiles based on both actigraphy and app measurements contributes to a better understanding of the associations between circadian disruptions and mental and physical health outcomes.

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Publication Details

Journal
Depression and Anxiety
Published
2025-01-01
DOI
https://doi.org/10.1155/da/2617282
Citations
2
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
4.24

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article

Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

Chen Lin, Yu‐Hsuan Lin, Tien‐Yu Chen, Hai‐Hua Chuang et al.
2 citations
Depression and Anxiety
Mental Health Research Topics
4.24
article

Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

Chen Lin, Yu‐Hsuan Lin, Tien‐Yu Chen, Hai‐Hua Chuang, Guan-Jie She, Hsiang‐Chih Chang, I‐Ming Chen
article en
2 citations

Abstract

<b>Background:</b> This study aimed to empirically derive subgroups based on both actigraphy- and app-measured rest-activity rhythm (RAR) patterns and investigate the relationship between these profiles and health outcomes, including depression and obesity. <b>Methods:</b> We developed a mobile app, Rhythm, to record human-smartphone interactions and calculate RAR patterns alongside standard actigraphy in 135 participants (mean age: 43.8 ± 12.3 years, 64% women) with and without major depressive disorder and/or obesity. Wrist actigraphy and Rhythm app recorded activity data for at least 4 weeks, totaling 3978 person-days. Person-centered clustering was conducted to identify subgroups based on RAR characteristics, and their associations with clinical outcomes were evaluated using multivariable regression models. <b>Results:</b> Three distinct groups with different RAR patterns were identified based on acrophase, interdaily stability (IS), and intradaily variability (IV), measured by actigraphy and human-smartphone interactions, respectively. The "earlier" group exhibited earlier acrophase both by actigraphy and the app and had lower depressive symptom severity than the other two groups. The "later" group showed a later acrophase and a lower body mass index (BMI) compared to the "earlier" group. The "irregular" group, characterized by higher IV, lower IS, and desynchronized actigraphy- and app-measured acrophase, was associated with higher levels of depressive symptom severity and BMI. <b>Conclusions:</b> Our study highlights the usefulness of human-smartphone interaction patterns in providing a comprehensive understanding of individuals' circadian rhythms beyond standard actigraphy measurements. Identifying distinct RAR profiles based on both actigraphy and app measurements contributes to a better understanding of the associations between circadian disruptions and mental and physical health outcomes.

Depression and AnxietyVol. 2025(1)
Tri-Service General Hospital (TW), National Health Research Institutes (TW), National Taiwan University (TW), National Central University (TW), National Tsing Hua University (TW), Cathay General Hospital (TW), National Taiwan University Hospital (TW), National Defense Medical Center (TW)
National Health Research Institutes, National Taiwan University Hospital, National Taiwan University
Openalex Percentile: Top 8%
Mental Health Research Topics
4.24
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