Evidence map›Paper›PMID 29029250›Full record

ArticleSleep2017

Actigraphy-Derived Daily Rest-Activity Patterns and Body Mass Index in Community-Dwelling Adults.

Elizabeth M Cespedes Feliciano, Mirja Quante, Jia Weng, Jonathan A Mitchell, Peter James, Catherine R Marinac, Sara Mariani, Susan Redline, Jacqueline Kerr, Suneeta Godbole and 3 more

Abstract read
In one paragraph

Article in Sleep, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

13 authors.

Elizabeth M Cespedes FelicianoDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Mirja QuanteDivision of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Jia WengDivision of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Jonathan A MitchellDivision of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA.
Peter JamesDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, MA.
Catherine R MarinacDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, MA.
Sara MarianiDivision of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Susan RedlineDivision of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Jacqueline KerrDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA.
Suneeta GodboleDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA.
Alicia ManteigaPrevention Research Center, Brown School, Washington University in St. Louis, St. Louis, MO.
Daniel WangMoores UC San Diego Cancer Center, La Jolla, CA.
J Aaron HippDepartment of Parks, Recreation, and Tourism Management, North Carolina State University, Raleigh, NC.

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 NATARAJAN, LOKI · 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
High Resolution Measures of Behavioral Cancer Risk Factors From Mobile TechnologyR00CA201542 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI JAMES, PETER · 2017 to 2019
$747k
NCI NIH HHS R00 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 R24 HL114473
6 · The paper itself

Abstract

Study Objectives: To examine associations between 24-hour rest-activity patterns and body mass index (BMI) among community-dwelling US adults. Rest-activity patterns provide a field method to study exposures related to circadian rhythms. Methods: Adults (N = 578) wore an actigraph on their nondominant wrist for 7 days. Intradaily variability and interdaily stability (IS), M10 (most active 10-hours), L5 (least active 5-hours), and relative amplitude (RA) were derived using nonparametric rhythm analysis. Mesor, acrophase, and amplitude were calculated from log-transformed count data using the parametric cosinor approach. Results: Participants were 80% female and mean (standard deviation) age was 52 (15) years. Participants with higher BMI had lower values for magnitude, RA, IS, total sleep time (TST), and sleep efficiency. In multivariable analyses, less robust 24-hour rest-activity patterns as represented by lower RA were consistently associated with higher BMI: comparing the bottom quintile (least robust) to the top quintile (most robust 24-hour rest-activity pattern) of RA, BMI was 3-kg/m2 higher (p = .02). Associations were similar in magnitude to an hour less of TST (1-kg/m2 higher BMI) or a 10% decrease in sleep efficiency (2-kg/m2 higher BMI), and independent of age, sex, race, education, and the duration of rest and/or activity. Conclusions: Lower RA, reflecting both higher night activity and lower daytime activity, was associated with higher BMI. Independent of the duration of rest or activity during the day or night, 24-hour rest, and activity patterns from actigraphy provide aggregated measures of activity that associate with BMI in community-dwelling adults.

Indexed as

Activities of Daily LivingBody Mass IndexIndependent LivingActigraphyAdultAgedCircadian RhythmCross-Sectional StudiesFemaleHumansMaleMiddle AgedRestSleepactigraphybody mass indexrest–activity patterns

Identifiers

PMID29029250
PMCPMC5804986

What OpenQuestion holds

Textmetadata
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.