Evidence map›Paper›PMID 28650674›Full record

ArticleChronobiology international2017

Variation in actigraphy-estimated rest-activity patterns by demographic factors.

Jonathan A Mitchell, Mirja Quante, Suneeta Godbole, Peter James, J Aaron Hipp, Catherine R Marinac, Sara Mariani, Elizabeth M Cespedes Feliciano, Karen Glanz, Francine Laden and 4 more

Abstract read
In one paragraph

Article in Chronobiology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–field-weighted citation impact
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

83 citing papers in PubMed.

  1. Relationship between circadian activity rhythms and fatigue in hospitalized children with CNS cancers receiving high-dose chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
  2. Article
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  7. Association of physical activity and rest-activity rhythm with sustained attention and melatonin among community-dwelling older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  8. Article
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  10. Total dairy consumption is associated with healthy sleep patterns in U.S. adults.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
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  13. Review
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23 more citing papers are in PubMed but not listed here.

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

14 authors.

Jonathan A Mitchella Division of Gastroenterology, Hepatology and Nutrition , Children's Hospital of Philadelphia , Philadelphia , PA , USA.
Mirja Quantec Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology , Brigham & Women's Hospital & Harvard Medical School , Boston , MA , USA.ORCID 0000-0002-3097-4725
Suneeta Godbolee Department of Family Medicine & Public Health , University of California, San Diego , San Diego , CA , USA.
Peter Jamesf Channing Division of Network Medicine , Brigham and Women's Hospital & Harvard Medical School , Boston , MA , USA.
J Aaron Hipph Department of Parks, Recreation, and Tourism Management, Center for Geospatial Analytics, and Center for Human Health and the Environment , NC State University , Raleigh , NC , USA.
Catherine R Marinaci Dana-Farber Cancer Institute , Boston , MA , USA.
Sara Marianic Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology , Brigham & Women's Hospital & Harvard Medical School , Boston , MA , USA.
Elizabeth M Cespedes Felicianoj Division of Research , Kaiser Permanente Northern California , Oakland , CA , USA.
Karen Glanzk Perelman School of Medicine and School of Nursing, University of Pennsylvania , Philadelphia , PA , USA.
Francine Ladenf Channing Division of Network Medicine , Brigham and Women's Hospital & Harvard Medical School , Boston , MA , USA.
Rui Wangc Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology , Brigham & Women's Hospital & Harvard Medical School , Boston , MA , USA.
Jia Wengc Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology , Brigham & Women's Hospital & Harvard Medical School , Boston , MA , USA.
Susan Redlinec Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology , Brigham & Women's Hospital & Harvard Medical School , Boston , MA , USA.
Jacqueline Kerre Department of Family Medicine & Public Health , University of California, San Diego , San Diego , CA , USA.

Funding

Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
TREC Coordination CenterU01CA116850 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THORNQUIST, MARK · 2005 to 2016
$13.3M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
The Women In Steady Exercise Research (WISER) SurwVor TrialU54CA155850 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHODOSH, LEWIS A · 2011 to 2015
$9.1M
UCSD Biorepository Shared ResourceU54CA155435 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PATTERSON, RUTH E · 2011 to 2015
$9.1M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
Validating Machine-Learned Classifiers of Sedentary Behavior and Physical ActivitR01CA164993 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KERR, JACQUELINE · 2012 to 2015
$2.2M
Sleep, Energetic Behaviors, and Adolescent Obesity during the Transition from Middle to High SchoolK01HL123612 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI MITCHELL, JONATHAN ANDREW · 2015 to 2019
$787k
High resolution measures of behavioral cancer risk factors from mobile technologyK99CA201542 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI JAMES, PETER · 2016 to 2016
$129k
Prolonged Overnight Fasting for Reducing Breast Cancer RiskF31CA183125 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARINAC, CATHERINE · 2014 to 2015
$64k
NCI NIH HHS F31 CA183125NCI NIH HHS K99 CA201542NCI NIH HHS R01 CA164993NCI NIH HHS U01 CA116850NCI NIH HHS U54 CA155435NCI NIH HHS U54 CA155496NCI NIH HHS U54 CA155626NCI NIH HHS U54 CA155850NCI NIH HHS UM1 CA176726NHLBI NIH HHS K01 HL123612NHLBI NIH HHS R24 HL114473
6 · The paper itself

Abstract

Rest-activity patterns provide an indication of circadian rhythmicity in the free-living setting. We aimed to describe the distributions of rest-activity patterns in a sample of adults and children across demographic variables. A sample of adults (N = 590) and children (N = 58) wore an actigraph on their nondominant wrist for 7 days and nights. We generated rest-activity patterns from cosinor analysis (MESOR, acrophase and magnitude) and nonparametric circadian rhythm analysis (IS: interdaily stability; IV: intradaily variability; L5: least active 5-hour period; M10: most active 10-hour period; and RA: relative amplitude). Demographic variables included age, sex, race, education, marital status, and income. Linear mixed-effects models were used to test for demographic differences in rest-activity patterns. Adolescents, compared to younger children, had (1) later M10 midpoints (β = 1.12 hours [95% CI: 0.43, 1.18] and lower M10 activity levels; (2) later L5 midpoints (β = 1.6 hours [95% CI: 0.9, 2.3]) and lower L5 activity levels; (3) less regular rest-activity patterns (lower IS and higher IV); and 4) lower magnitudes (β = -0.95 [95% CI: -1.28, -0.63]) and relative amplitudes (β = -0.1 [95% CI: -0.14, -0.06]). Mid-to-older adults, compared to younger adults (aged 18-29 years), had (1) earlier M10 midpoints (β = -1.0 hours [95% CI: -1.6, -0.4]; (2) earlier L5 midpoints (β = -0.7 hours [95% CI: -1.2, -0.2]); and (3) more regular rest-activity patterns (higher IS and lower IV). The magnitudes and relative amplitudes were similar across the adult age categories. Sex, race and education level rest-activity differences were also observed. Rest-activity patterns vary across the lifespan, and differ by race, sex and education. Understanding population variation in these patterns provides a foundation for further elucidating the health implications of rest-activity patterns across the lifespan.

Indexed as

ActigraphyDemographyAdolescentAdultAgedChildCircadian RhythmFemaleHumansMaleMiddle AgedMotor ActivityRestSleepYoung Adultactigraphydemographicsepidemiologyrest-activity patterns

Identifiers

PMID28650674
PMCPMC6101244

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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.