Role of leisure and sleep in promoting daily physical activity in adults with down syndrome

<b>Background:</b> Adults with Down syndrome (DS) are at an elevated risk of chronic health conditions (e.g. obesity, Alzheimer's disease). Although physical activity can mitigate the effects of these conditions, adults with DS spend more time sedentary relative to the adult general population. This study examined how daily fluctuations in two lifestyle factors, sleep and leisure, affect physical activity in adults with DS. <b>Method:</b> For 7 days, a sample of adults with DS (<i>N</i> = 109) wore a GT9X ActiGraph accelerometer to collect movement and sleep data and completed a daily diary to record leisure engagement. Movement variables included time spent sedentary, in light physical activity, and in moderate-to-vigorous physical activity. Sleep variables included total sleep time (TST) and sleep efficiency (SE). Time spent in and total count of cognitively stimulating leisure (e.g. reading, experiential activities) and social leisure (e.g. visiting friends, attending club meetings) were based on 22 items from the Victoria Longitudinal Study activity questionnaire. Mixed linear models examined between - and within-person associations for sleep and physical activity, and leisure and physical activity. Models controlled for sociodemographics, day of week, and weekend (vs. weekday). <b>Results:</b> At the between-person level, more TST was associated with more time sedentary (<i>ps</i> < .05) and less physical activity (<i>ps</i> < .001). More SE was associated with less time sedentary (<i>ps</i> < .001) and more physical activity (<i>ps</i> < .05). At the within-person level, participants with more physical activity than typical predicted greater TST (and less SE) that night (<i>ps</i> < .01). More cognitively stimulating and social leisure were associated with more physical activity at the within-person level (<i>ps</i> < .05). <b>Conclusions:</b> Findings can inform health programs seeking to increase physical activity in adults with DS. Interventions should consider the function of sleep and leisure in everyday life for long-term sustainability of physical activity.

Authors

Institutions

Publication Details

Journal
Health Psychology and Behavioral Medicine
Published
2025-06-22
DOI
https://doi.org/10.1080/21642850.2025.2521418
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Role of leisure and sleep in promoting daily physical activity in adults with down syndrome

Dana Tudorascu, Benjamin L. Handen, Victoria Fleming, Emily K. Schworer et al.
Health Psychology and Behavioral Medicine
Obesity, Physical Activity, Diet
article

Role of leisure and sleep in promoting daily physical activity in adults with down syndrome

Dana Tudorascu, Benjamin L. Handen, Victoria Fleming, Emily K. Schworer, Sigan L. Hartley, Yiwen Dong, Melissa Jenkins
article en

Abstract

<b>Background:</b> Adults with Down syndrome (DS) are at an elevated risk of chronic health conditions (e.g. obesity, Alzheimer's disease). Although physical activity can mitigate the effects of these conditions, adults with DS spend more time sedentary relative to the adult general population. This study examined how daily fluctuations in two lifestyle factors, sleep and leisure, affect physical activity in adults with DS. <b>Method:</b> For 7 days, a sample of adults with DS (<i>N</i> = 109) wore a GT9X ActiGraph accelerometer to collect movement and sleep data and completed a daily diary to record leisure engagement. Movement variables included time spent sedentary, in light physical activity, and in moderate-to-vigorous physical activity. Sleep variables included total sleep time (TST) and sleep efficiency (SE). Time spent in and total count of cognitively stimulating leisure (e.g. reading, experiential activities) and social leisure (e.g. visiting friends, attending club meetings) were based on 22 items from the Victoria Longitudinal Study activity questionnaire. Mixed linear models examined between - and within-person associations for sleep and physical activity, and leisure and physical activity. Models controlled for sociodemographics, day of week, and weekend (vs. weekday). <b>Results:</b> At the between-person level, more TST was associated with more time sedentary (<i>ps</i> < .05) and less physical activity (<i>ps</i> < .001). More SE was associated with less time sedentary (<i>ps</i> < .001) and more physical activity (<i>ps</i> < .05). At the within-person level, participants with more physical activity than typical predicted greater TST (and less SE) that night (<i>ps</i> < .01). More cognitively stimulating and social leisure were associated with more physical activity at the within-person level (<i>ps</i> < .05). <b>Conclusions:</b> Findings can inform health programs seeking to increase physical activity in adults with DS. Interventions should consider the function of sleep and leisure in everyday life for long-term sustainability of physical activity.

Health Psychology and Behavioral MedicineVol. 13(1)
University of Wisconsin–Madison (US), University of Pittsburgh (US)
Alzheimer's Disease Research Center, University of Pittsburgh, National Institute of Child Health and Human Development, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine in St. Louis
Openalex Percentile: Top 80%
Obesity, Physical Activity, Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.