NDLI: Co-variation of depressive mood and spontaneous physical activity evaluated by ecological momentary assessment in major depressive disorder

Content Provider	IEEE Xplore Digital Library
Author	Jinhyuk Kim Nakamura, T. Kikuchi, H. Yoshiuchi, K. Yamamoto, Y.
Copyright Year	2014
Description	Author affiliation: Dept. of Stress Sci. & Psychosomatic Med., Univ. of Tokyo, Tokyo, Japan (Yoshiuchi, K.) \|\| Grad. Sch. of Educ., Univ. of Tokyo, Tokyo, Japan (Jinhyuk Kim; Nakamura, T.; Yamamoto, Y.) \|\| Dept. of Psychosomatic Res., Nat. Inst. of Mental Health, Kodaira, Japan (Kikuchi, H.)
Abstract	The objective evaluation of depressive mood is thought 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). Patients with MDD (n = 14) 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. The statistical model constructed indicated that worsening of depressive mood was associated with increased intermittency of locomotor activity, as characterized by a lower mean and higher skewness. Our findings suggest the presence of associations between momentary depressive mood and behavioral dynamics in patients with depression, which may lead to the continuous monitoring of the pathological states of MDD.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	6635
Ending Page	6638
File Size	856054
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6945149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mood Pathology Monitoring Educational institutions Data models Mathematical model Estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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