Evidence map›Paper›PMID 42477287›Full record

ArticleInternational journal of behavioral medicine2026

Sleep as an Effect Modifier for Physical Activity Intervention Efficacy: Secondary Analysis of Data from Two Randomized Controlled Trials.

Tayla von Ash, Shira Dunsiger, Belinda O'Hagan, Michael Chidinma Onu, Sugandha K Gupta-Louis, Lauren Connell Bohlen, Tanya J Benitez, Bess H Marcus

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Article in International journal of behavioral medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tayla von AshDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States. tayla_ash@brown.edu.
Shira DunsigerDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.
Belinda O'HaganDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.
Michael Chidinma OnuDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.
Sugandha K Gupta-LouisFerkauf Graduate School of Psychology, Yeshiva University, Bronx, United States.
Lauren Connell BohlenDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.
Tanya J BenitezDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.
Bess H MarcusDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegular physical activity (PA) improves health across various domains, reducing the risk of cardiovascular disease and certain forms of cancer while improving mental health. Despite cultural and family-oriented strengths that can support healthy lifestyle behaviors, Latinas have high rates of inactivity and are disproportionately burdened by health conditions associated with regular PA. Thus, research is needed to elucidate determinants of success in PA interventions in this population. Sleep is a health behavior that has an established bidirectional relationship to PA, yet it remains unclear how sleep may moderate PA intervention efficacy. PURPOSE: This study examines time in bed, as a proxy for nighttime sleep duration, as a moderator of the intervention effect on PA outcomes in two randomized controlled trials among sedentary Latinas.

methodWe ran a series of generalized mixed effects models with subject-specific intercepts. Analyses were run separately on data from two randomized controlled trials to help establish consistency of findings across two similar participant populations.

resultsResults indicated that time in bed (whether operationalized continuously or dichotomously based on sleep duration guidelines) was a significant moderator of intervention effects on PA outcomes over time, p's < 0.05. Across studies, women who reported more time in bed showed greater benefits from intervention vs. control (in study 1) and enhanced vs. original intervention (in study 2).

conclusionTo our knowledge, this is the first study to examine a sleep-related measure as an effect modifier of PA intervention success. Findings suggest that sufficient sleep may allow Latinas to benefit more from PA interventions.

Indexed as

Effect modificationPhysical activitySleepTime in bed

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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.