Covariation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Toward Continuous Monitoring of Depressive Mood
Abstract
The objective evaluation of depressive mood is considered to be useful for the diagnosis and treatment of depressive disorders. Thus, we investigated psychobehavioral correlates, particularly the statistical associations between momentary depressive mood and behavioral dynamics measured objectively, in patients with major depressive disorder (MDD) and healthy subjects. Patients with MDD ( n = 14) and healthy subjects ( n = 43) wore a watch-type computer device and rated their momentary symptoms using ecological momentary assessment. Spontaneous physical activity in daily life, referred to as locomotor activity, was also continuously measured by an activity monitor built into the device. A multilevel modeling approach was used to model the associations between changes in depressive mood scores and the local statistics of locomotor activity simultaneously measured. We further examined the cross validity of such associations across groups. The statistical model established indicated that worsening of the depressive mood was associated with the increased intermittency of locomotor activity, as characterized by a lower mean and higher skewness. The model was cross validated across groups, suggesting that the same psychobehavioral correlates are shared by both healthy subjects and patients, although the latter had significantly higher mean levels of depressive mood scores. Our findings suggest the presence of robust as well as common associations between momentary depressive mood and behavioral dynamics in healthy individuals and patients with depression, which may lead to the continuous monitoring of the pathogenic processes (from healthy states) and pathological states of MDD.
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The remaining five of the seven studies collecting physiological measures investigated associations of depressive symptoms with sleep/wake cycles and physical activity using actimetry sensors.
“The remaining five articles investigated the association of depressive symptoms with sleep/wake cycles [32,33,36] and physical activity [37,38] using actimetry sensors.”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [32]
A statistical model with cross validity identified a significant association between higher intermittency of locomotor activity and worse mood ratings.
“Finally, Kim and colleagues developed a statistical model with cross validity that identified a significant association between higher intermittency of locomotor activity and worse mood ratings [32], suggesting the possibility of predicting patients’ moods through the analysis of momentary locomotor patterns.”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [32]
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References 49 · Cited by 45
- Authors
- Kim, J., Nakamura, T., Kikuchi, H., Yoshiuchi, K., Sasaki, T., & Yamamoto, Y.
- Affiliations
- National Center of Neurology and Psychiatry (JP)
- The University of Tokyo (JP)
- Venue
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2015-07
- Volume
- 19
- Issue
- 4
- Pages
- 1347-1355
- ISSN
- 2168-2194 (ISSN-L)
- 2168-2208
- OpenAlex
- W1549770351
- Cited by
- 45
- References
- 49
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 1 · 2020: 7 · 2019: 4 · 2018: 9 · 2017: 3 · 2016: 5 · 2015: 1
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Biomedical and Health Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Exploratory Research (22650157)
- Scientific Research (A) (23240094)
- Ministry of Education, Culture, Sports, Science, and Technology
- Core Research for Evolutional Science and Technology
- Japan Science and Technology Agency
- Young Scientists (B) (25870183)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- major depressive disorder, depressive mood, locomotor activity, spontaneous physical activity, ecological momentary assessment, wearable activity trackers, continuous monitoring, behavioral dynamics, intermittency, skewness, wearable devices
- MeSH terms
- Adult, Affect, Major Depressive Disorder, Depressive Disorder, Major, Female, Humans, Male, Middle Aged, Motor Activity, Signal Processing, Computer-Assisted, Reproducibility of Results, Models, Statistical, Case-Control Studies, Monitoring, Ambulatory, Young Adult
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