Cited by 40Sleep and related disordersCircadian rhythm and melatoninBipolar Disorder and Treatment

Rest-activity rhythm profiles associated with manic-hypomanic and depressive symptoms

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Smagula, Stephen F., Krafty, Robert T., Thayer, Julian F., Buysse, Daniel J., Hall, Martica H.·2018·Journal of Psychiatric Research

Abstract

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.”

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References 45 · Cited by 40

Research works printed but not linked: 2

  1. 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
  2. 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)
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
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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