Rest-activity rhythm profiles associated with manic-hypomanic and depressive symptoms
Open accessAbstract
Rest-activity rhythm (RAR) disturbances are associated with mood disorders. But there remains a need to identify the particular RAR profiles associated with psychiatric symptom dimensions. Establishing such profiles would support the development of tools that track the 24-h sleep-wake phenotypes signaling clinical heterogeneity. We used data-driven clustering to identify RAR profiles in 145 adults aged 36-82 years (mean = 60, standard deviation = 9). Then we evaluated psychiatric symptom dimensions (including positive and negative affect, depressive, manic-hypomanic, panic-agoraphobic, and substance use symptoms) associated with these empirically-derived RAR profiles. Clustering identified three sub-groups characterized, on average, by: (1) earlier and more robust RARs ("earlier/robust," n = 55, 38%); (2) later and irregular RARs ("later/irregular," n = 31, 21%); and (3) later RARs and a narrower active period ("later/narrower," n = 59, 41%). Compared with the "earlier/robust" group: the "later/irregular" group had higher levels of lifetime manic-hypomanic symptoms (β (standard error) = 0.80 (0.22) higher standardized symptom units, p = 0.0004) and lifetime depression symptoms (β (standard error) = 0.73 (0.21) higher standardized symptom units, p = 0.0009); the "later/narrower" group had more lifetime depression symptoms (β (standard error) = 0.48 (0.18) higher standardized symptom units, p = 0.0076). These associations persisted after adjustments for sleep continuity and duration, suggesting that RARs are distinct behavioral correlates of clinical heterogeneity. Longitudinal studies are needed to confirm whether RAR characteristics contribute to the risk of manic and/or depressive episodes, and whether they reflect the consequences of psychiatric disturbance (e.g., on quality of life or disability). Opportunities to monitor or intervene on objectively-assessed RARs could facilitate better mental health related outcomes.
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Among cosinor-based metrics, lower pseudo-F statistic values and later acrophase, both based on steps and heart rate, were associated with more severe symptoms, but these correlations became nonsignificant after FDR correction and in multiple regression analysis.
“our data indicated lower pseudo-F statistic values and later acrophase, both based on steps and heart rate, in participants with more severe symptoms, which is consistent with existing evidence [22,23,25,26,29,30], yet these correlations became nonsignificant after the FDR correction and in multiple regression analysis.”
From Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling (2021) · cites this paper as [30]
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References 45 · Cited by 40
Research works printed but not linked: 2
- First MB Spitzer Robert L Miriam Gibbon Williams Janet BW 2002 Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition. (SCID-I/P) Biometrics Research New York State Psychiatric Institute New York
- Wehr T Wirz-Justice A 1981 Internal coincidence model for sleep deprivation and depression WPK Sleep Karger, Switzerland 26 33
- Authors
- Smagula, S. F., Krafty, R. T., Thayer, J. F., Buysse, D. J., & Hall, M. H.
- Affiliations
- University of Pittsburgh (US)
- The Ohio State University (US)
- Corresponding author
- Smagula, Stephen F.
- Venue
- Journal of Psychiatric Research
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 102
- Pages
- 238-244
- ISSN
- 0022-3956 (ISSN-L)
- PMC
- PMC6005763
- OpenAlex
- W2802489121
- Cited by
- 40
- References
- 45
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 4 · 2019: 4
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Psychiatric Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (R01 HL104607, R01 GM113243)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- rest-activity rhythm, circadian rhythm, depressive symptoms, mood disorders, clinical heterogeneity, data-driven clustering, sleep continuity, sleep duration, positive and negative affect
- MeSH terms
- Adult, Aged, Aged, 80 and over, Bipolar Disorder, Female, Humans, Longitudinal Studies, Male, Middle Aged, Psychiatric Status Rating Scales, Rest, Retrospective Studies, Chronobiology Disorders, Actigraphy
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