Timing of Physical Activity and Associations with BMI and Weekly Physical Activity in Young Adults: A Cross-Sectional Analysis

The timing of physical activity has been associated with weight and moderate-to-vigorous physical activity (MVPA) in adults. However, few studies have tested associations in young adults, who are biologically and behaviorally different from adults. Young adults (18-35 yr) enrolled in a weight management program provided body mass index (BMI) and 4-7days of ActiGraph accelerometer wear time at baseline. Activity time of day was divided into the following quartiles: morning (06:00-11:59), afternoon (12:00-15:59), evening (16:00-18:59), and night (19:00-00:59). The proportion of weekly MVPA minutes occurring in each time category was used to predict BMI and total weekly MVPA using linear regression models. Marginal trends were estimated for the full sample and by sex. The analytic sample (<i>N</i> = 408, mAge = 23.8±4.5, mBMI = 31.1±4.4) was 79% female, 49% non-Hispanic White, with a mean weekly MVPA of 311±167minutes. MVPA timing was associated with total weekly MVPA but not BMI. Afternoon MVPA was inversely associated with total weekly MVPA in women (-1.72 [95% CI: -3.19, -0.26] min). When considering only bouted MVPA as a predictor, morning (all: 1.43 [95% CI: 0.86, 2.00] min) and night (women: 0.87 [95% CI: 0.15, 1.58] min) MVPA were positively associated with total weekly MVPA. Activity-based interventions designed to improve behavioral health may be improved by providing time-based recommendations tailored to the demographic characteristics of the target population. For example, morning may be an optimal time for both female and male young adults to engage in bouted physical activity to improve total weekly activity levels.

Authors

Institutions

Publication Details

Journal
Research Quarterly for Exercise and Sport
Published
2025-02-13
DOI
https://doi.org/10.1080/02701367.2025.2463467
Citations
2
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
2.33

Funders

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

Timing of Physical Activity and Associations with BMI and Weekly Physical Activity in Young Adults: A Cross-Sectional Analysis

Jingyi Qian, Loretta DiPietro, Angelo Elmi, Melissa A. Napolitano et al.
2 citations
Research Quarterly for Exercise and Sport
Physical Activity and Health
2.33
article

Timing of Physical Activity and Associations with BMI and Weekly Physical Activity in Young Adults: A Cross-Sectional Analysis

Jingyi Qian, Loretta DiPietro, Angelo Elmi, Melissa A. Napolitano, Caitlin P. Bailey
article en
2 citations

Abstract

The timing of physical activity has been associated with weight and moderate-to-vigorous physical activity (MVPA) in adults. However, few studies have tested associations in young adults, who are biologically and behaviorally different from adults. Young adults (18-35 yr) enrolled in a weight management program provided body mass index (BMI) and 4-7days of ActiGraph accelerometer wear time at baseline. Activity time of day was divided into the following quartiles: morning (06:00-11:59), afternoon (12:00-15:59), evening (16:00-18:59), and night (19:00-00:59). The proportion of weekly MVPA minutes occurring in each time category was used to predict BMI and total weekly MVPA using linear regression models. Marginal trends were estimated for the full sample and by sex. The analytic sample (<i>N</i> = 408, mAge = 23.8±4.5, mBMI = 31.1±4.4) was 79% female, 49% non-Hispanic White, with a mean weekly MVPA of 311±167minutes. MVPA timing was associated with total weekly MVPA but not BMI. Afternoon MVPA was inversely associated with total weekly MVPA in women (-1.72 [95% CI: -3.19, -0.26] min). When considering only bouted MVPA as a predictor, morning (all: 1.43 [95% CI: 0.86, 2.00] min) and night (women: 0.87 [95% CI: 0.15, 1.58] min) MVPA were positively associated with total weekly MVPA. Activity-based interventions designed to improve behavioral health may be improved by providing time-based recommendations tailored to the demographic characteristics of the target population. For example, morning may be an optimal time for both female and male young adults to engage in bouted physical activity to improve total weekly activity levels.

Research Quarterly for Exercise and SportVol. 96(3)
Brigham and Women's Hospital (US), Milken Institute (US), Harvard University (US), George Washington University (US)
National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Gender equality
Openalex Percentile: Top 14%
Physical Activity and Health
2.33
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.