0918 Association of Physical Activity with Multidimensional Sleep Health in Adolescents: Impact of Weight Gain Since Childhood

Abstract Introduction Adolescents have unique sleep needs that impact their physical and mental wellbeing. The adolescent transition is also characterized by decreases in physical activity (PA) and increases in sedentary behavior (SB), which may have further deleterious effects on sleep beyond weight gain and obesity. Few longitudinal studies have examined synergistic effects between PA/SB and weight gain on sleep health in the transition from childhood to adolescents. Methods We studied 341 subjects from the Penn State Child Cohort aged 5-12 years old (median 9 years old) at baseline and 12-23 years old (median 16 years old) at follow-up (53% male, 21% racial/ethnic minority) who underwent in-lab polysomnography (PSG), had at least 3 valid nights of actigraphy (ACT) and completed self-reported questionnaires. The primary outcome was a data-driven, multivariable, multimethod sleep health score adapting the RU-SATED framework to include Breathing, Efficiency, Duration, REgularity, Satisfaction, and Timing (BEDREST) measured by PSG, ACT and self-reports. The BEDREST score ranged from 0 to 6, with higher values indicating better sleep health. Predictors included ACT-measured SB and moderate-to-vigorous PA (MVPA). Moderators included body mass index (BMI) and waist circumference (WC) and their change (Δ) from childhood to adolescence. Linear regression adjusted for age, sex, race/ethnicity, socioeconomic status, being in-school, internalizing symptoms, and externalizing behaviors as well as height and childhood values, as appropriate. Results Longitudinally, ΔWC modified the association of SB (p-interaction < 0.001) and MVPA (p-interaction = 0.023) with BEDREST score; a modifying role that was weaker for ΔBMI (p-interaction = 0.060). Among children who gained most central adiposity (ΔWC≥24cm), greater SB was associated with a lower BEDREST score (Est=-2.04, SE=0.42, p< 0.01). Cross-sectionally, WC (p-interaction=0.021) and BMI (p-interaction=0.020) modified the association of SB, but not MVPA, with BEDREST score. Among obese adolescents (BMI%≥95), greater SB was associated with a lower BEDREST score (Est=-1.04, SE=0.39, p=0.01). Conclusion Being sedentary negatively impacts sleep health among adolescents who gain central adiposity since childhood and are obese in adolescence. Less MVPA positively impacts sleep health in a small group of adolescents who lost central adiposity since childhood, which may suggest adequate timing of exercise. Support (if any) R01HL136587

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0917
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0918 Association of Physical Activity with Multidimensional Sleep Health in Adolescents: Impact of Weight Gain Since Childhood

Duanping Liao, Alexandros Vgontzas, Edward Bixler, Susan Calhoun et al.
SLEEP
Cardiovascular Health and Risk Factors
article

0918 Association of Physical Activity with Multidimensional Sleep Health in Adolescents: Impact of Weight Gain Since Childhood

Duanping Liao, Alexandros Vgontzas, Edward Bixler, Susan Calhoun, Allison Luongo, Casandra Nyhuis, Julio Fernandez-Mendoza, Kristina Lenker
article en

Abstract

Abstract Introduction Adolescents have unique sleep needs that impact their physical and mental wellbeing. The adolescent transition is also characterized by decreases in physical activity (PA) and increases in sedentary behavior (SB), which may have further deleterious effects on sleep beyond weight gain and obesity. Few longitudinal studies have examined synergistic effects between PA/SB and weight gain on sleep health in the transition from childhood to adolescents. Methods We studied 341 subjects from the Penn State Child Cohort aged 5-12 years old (median 9 years old) at baseline and 12-23 years old (median 16 years old) at follow-up (53% male, 21% racial/ethnic minority) who underwent in-lab polysomnography (PSG), had at least 3 valid nights of actigraphy (ACT) and completed self-reported questionnaires. The primary outcome was a data-driven, multivariable, multimethod sleep health score adapting the RU-SATED framework to include Breathing, Efficiency, Duration, REgularity, Satisfaction, and Timing (BEDREST) measured by PSG, ACT and self-reports. The BEDREST score ranged from 0 to 6, with higher values indicating better sleep health. Predictors included ACT-measured SB and moderate-to-vigorous PA (MVPA). Moderators included body mass index (BMI) and waist circumference (WC) and their change (Δ) from childhood to adolescence. Linear regression adjusted for age, sex, race/ethnicity, socioeconomic status, being in-school, internalizing symptoms, and externalizing behaviors as well as height and childhood values, as appropriate. Results Longitudinally, ΔWC modified the association of SB (p-interaction < 0.001) and MVPA (p-interaction = 0.023) with BEDREST score; a modifying role that was weaker for ΔBMI (p-interaction = 0.060). Among children who gained most central adiposity (ΔWC≥24cm), greater SB was associated with a lower BEDREST score (Est=-2.04, SE=0.42, p< 0.01). Cross-sectionally, WC (p-interaction=0.021) and BMI (p-interaction=0.020) modified the association of SB, but not MVPA, with BEDREST score. Among obese adolescents (BMI%≥95), greater SB was associated with a lower BEDREST score (Est=-1.04, SE=0.39, p=0.01). Conclusion Being sedentary negatively impacts sleep health among adolescents who gain central adiposity since childhood and are obese in adolescence. Less MVPA positively impacts sleep health in a small group of adolescents who lost central adiposity since childhood, which may suggest adequate timing of exercise. Support (if any) R01HL136587

SLEEPVol. 49(Supplement_1)
Pennsylvania State University (US), Johns Hopkins University (US), Penn State Milton S. Hershey Medical Center (US)
Openalex Percentile: Top 6%
Cardiovascular Health and Risk Factors
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.