Evidence map›Paper›PMID 36736806›Full record

Observational studyArchives of physical medicine and rehabilitation2023

Rest-Activity Rhythm Characteristics Associated With Depression Symptoms in Stroke Survivors.

Sarah T Stahl, Elizabeth Skidmore, Emily Kringle, Minmei Shih, Carolyn Baum, Joy Hammel, Robert Krafty, Naima Covassin, Jingen Li, Stephen F Smagula

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Archives of physical medicine and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Sarah T StahlDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Elizabeth SkidmoreDepartment of Occupational Therapy, School of Health and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania.
Emily KringleDepartment of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL.
Minmei ShihDepartment of Occupational Therapy, School of Health and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania.
Carolyn BaumProgram in Occupational Therapy, School of Medicine, Washington University, St. Louis, MO.
Joy HammelDepartment of Occupational Therapy, College of Allied Health Sciences, University of Illinois at Chicago, Chicago, IL.
Robert KraftyDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Naima CovassinDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Jingen LiDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Stephen F SmagulaDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: smagulasf@upmc.edu.
University of Pittsburgh · USUniversity of Illinois Chicago · USDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNEmory University · USMayo Clinic in Arizona · USWashington University in St. Louis · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Developing a widely-useable wearable Circadian Profiling System to assess 24-hour behavioral rhythm disruption in people with dementia and their family caregiversR41AG069596 · NIA · ACTIVITY RHYTHM SOLUTIONS CORPORATION · PI SMAGULA, STEPHEN F · 2021 to 2022
$427k
NCATS NIH HHS UL1 TR001857NIA NIH HHS R41 AG069596
6 · The paper itself

Abstract

objectiveTo examine which 24-hour rest-activity rhythm (RAR) characteristics are associated with depression symptoms in stroke survivors.

designCross-sectional observational study examining associations of RAR characteristics with the presence of depression symptoms adjusting for age, sex, race, and medical comorbidity.

settingCommunity setting.

participantsStroke survivors: (1) recruited locally (N women=35, N men=28) and (2) a nationally representative probability sample (the National Health and Nutrition Examination Survey [NHANES]; N women=156, N men=124).

interventionsNone. MEASUREMENTS: Objective RAR characteristics derived from accelerometer recordings including activity onset/offset times and non-parametric measures of RAR strength (relative amplitude), stability (interdaily stability), and fragmentation (intradaily variability). The presence of depression symptoms was categorized using Patient Health Questionnaire scores.

resultsIn both samples, the only RAR characteristic associated with depression symptoms was intradaily variability (fragmentation): local sample, odds ratio=1.96 [95% confidence interval=1.05-3.63]; NHANES sample, odds ratio=1.34, [95% confidence interval=1.01-1.78]). In the NHANES sample, which included both mild and moderate/severe depression, the association between 24-hour sleep-wake fragmentation and depression symptoms was driven by moderate-to-severe cases.

conclusionsStroke survivors with higher levels of RAR fragmentation were more likely to have depression symptoms in both samples. These findings have implications, given prior studies in general samples linking RAR fragmentation with future depression and dementia risk. Research is needed to establish the potential consequences, mechanisms, and modifiability of RAR fragmentation in stroke survivors.

Indexed as

SleepStrokeActigraphyCircadian RhythmCross-Sectional StudiesDepressionFemaleHumansMaleNutrition SurveysActigraphyDepressionRehabilitationSleepStroke

Identifiers

PMID36736806
PMCPMC10802795
OpenAlexW4318822501

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.