Evidence map›Paper›PMID 39809681›Full record

ArticleSleep health2025

Daily sleep and physical activity from accelerometry in adults: Temporal associations and lag effects.

Sarah Alismail, Calvin P Tribby, Jiue-An Yang, Dorothy D Sears, Noemie Letellier, Tarik Benmarhnia, Marta M Jankowska

Abstract read
In one paragraph

Article in Sleep health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah AlismailPopulation Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Calvin P TribbyPopulation Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA. Electronic address: ctribby@coh.org.
Jiue-An YangPopulation Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Dorothy D SearsCollege of Health Solutions, Arizona State University, Phoenix, Arizona, USA.
Noemie LetellierScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, Rennes, France.
Tarik BenmarhniaScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, Rennes, France.
Marta M JankowskaPopulation Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
(PQA4) GPS exposure to environments & relations with biomarkers of cancer riskR01CA179977 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KERR, JACQUELINE · 2013 to 2016
$3.0M
Integrating novel GIS and GPS data to assess the impact of built environments on changes in BMI, physical activity and cancer-related biomarkers in two successful weight loss interventions in women atR01CA228147 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENMARHNIA, TARIK, JANKOWSKA, MARTA · 2019 to 2024
$2.6M
NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA179977NCI NIH HHS R01 CA228147
6 · The paper itself

Abstract

objectivesInsufficient sleep is linked to various health issues, while physical activity is a protective measure against chronic diseases. Despite the importance of sleep and physical activity for supporting public health, there remains scant research investigating daily and cumulative associations between objectively measured physical activity and sleep. Understanding the associations of physical activity and sleep behaviors over multiple days may inform the efficacy of interventions to synergistically support both behaviors.

methodData were from the Community of Mine study (N=367 with complete data). Participants wore ActiGraph GT3X+ accelerometers on their wrist and hip for 14days. Sleep was defined as total sleep time (h/night), wakefulness after sleep onset (min), and sleep efficiency (%). Moderate to vigorous physical activity was defined as ≥760 counts per minute. Mixed-effects linear models with distributed lag effects, adjusted for age, Hispanic/Latino ethnicity, body mass index, education, smoking, and residence type, investigated the effect of sleep on prospective moderate to vigorous physical activity (and moderate to vigorous physical activity on prospective sleep): on the same or previous day, 2-day lag, and 3-day lag.

resultsAn increase in same day, 2-day lag, and 3-day lag moderate to vigorous physical activity was associated with decreased total sleep time. Moderate to vigorous physical activity was not associated with sleep efficiency or wakefulness after sleep onset. An increase in same day and 3-day lag of total sleep time was associated with decreased moderate to vigorous physical activity. An increase in 3-day lag sleep efficiency was associated with decreased moderate to vigorous physical activity. wakefulness after sleep onset was not associated with moderate to vigorous physical activity.

conclusionsThese insights contribute to understanding the dynamic interplay between moderate to vigorous physical activity and sleep in adults, highlighting same day and cumulative associations.

Indexed as

AccelerometryExerciseSleepAdultAgedFemaleHumansMaleMiddle AgedTime FactorsCumulative physical activityDistributed lag effectObjective health behavior measurementSleep qualityTime effects

Identifiers

PMID39809681
PMCPMC12317671

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LicenceCC BY
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Registered trials

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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.