Evidence map›Paper›PMID 30024782›Full record

ArticleChronobiology international2018

Rest-activity rhythms characteristics and seasonal changes in seasonal affective disorder.

Stephen F Smagula, Caitlin M DuPont, Megan A Miller, Robert T Krafty, Brant P Hasler, Peter L Franzen, Kathryn A Roecklein

Open access · greenAbstract read
In one paragraph

Article in Chronobiology international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Sleep in seasonal affective disorder.Current opinion in psychology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Stephen F Smagulaa Department of Psychiatry, School of Medicine , University of Pittsburgh , Pittsburgh , PA , USA.
Caitlin M DuPontc Department of Psychology , University of Pittsburgh , Pittsburgh , PA , USA.
Megan A Millerc Department of Psychology , University of Pittsburgh , Pittsburgh , PA , USA.
Robert T Kraftye Department of Biostatistics, Graduate School of Public Health , University of Pittsburgh , Pittsburgh , PA , USA.ORCID 0000-0003-1478-6430
Brant P Haslera Department of Psychiatry, School of Medicine , University of Pittsburgh , Pittsburgh , PA , USA.
Peter L Franzena Department of Psychiatry, School of Medicine , University of Pittsburgh , Pittsburgh , PA , USA.
Kathryn A Roeckleinc Department of Psychology , University of Pittsburgh , Pittsburgh , PA , USA.
University of Pittsburgh · US

Funding

Melanopsin photosensitivity and psychopathologyR01MH103313 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROECKLEIN, KATHRYN A · 2014 to 2018
$2.7M
A Statistical Framework for the Spectral Analysis of High-Dimensional Physiological Time Series SignalsR01GM113243 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KRAFTY, ROBERT T · 2014 to 2020
$2.0M
Behavioral and Neural Consequences of Sleep Loss on Adolescent Affective FunctionR01DA033064 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRANZEN, PETER L · 2011 to 2014
$1.2M
Depression in dementia caregivers: Linking brain structure and sleep-wake risksK01MH112683 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMAGULA, STEPHEN F · 2017 to 2021
$875k
NIDA NIH HHS R01 DA033064NIGMS NIH HHS R01 GM113243NIMH NIH HHS K01 MH112683NIMH NIH HHS R01 MH103313
6 · The paper itself

Abstract

Identifying objectively measurable seasonal changes in 24-h activity patterns (rest-activity rhythms or RARs) that occur in seasonal affective disorder (SAD) could help guide research and practice towards new monitoring tools or prevention targets. We quantified RARs from actigraphy data using non-parametric and extended cosine based approaches, then compared RARs between people with SAD and healthy controls in the summer (n = 70) and winter seasons (n = 84). We also characterized the within-person seasonal RAR changes that occurred in the SAD (n = 19) and control (n = 26) participants who contributed repeated measures. Only controls had significant winter increases in RAR fragmentation (intra-daily variability; in controls mean winter-summer changes (log scale) = 0.05, 0.21 standard deviation, p = 0.03). In SAD participants only, estimated evening settling times (down-mesor) were an average of 30 min earlier in the winter compared with the summer (1-h standard deviation, p = 0.045). These RAR characteristics correlated with greater fatigue (Spearman r = 0.36) but not depression symptom severity. Additional research is needed to ascertain why healthy controls, but not people with SAD, appear to have increased RAR fragmentation in the winter. People with SAD lacked this increase in RAR fragmentation, and instead had earlier evening setting in the winter. Prospective and intervention studies with greater temporal resolution are warranted to ascertain how these seasonal behavioral differences relate to fatigue pathophysiology in SAD. Future research is needed to determine whether extending the winter active period, even in relatively fragmented bouts, could help reduce the fatigue symptoms common in SAD.

Indexed as

SeasonsActigraphyAdultCircadian RhythmDepressionFemaleHumansMajor Depressive DisorderMaleMiddle AgedPhototherapyRestSeasonal Affective DisorderSleepdepressionRest activity rhythmseasonal affective disorderseasonal changeswinter

Identifiers

PMID30024782
PMCPMC6251735
OpenAlexW2884155497

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.