Physical Activity and Negative Emotional States Among Female College Students: A Three-Wave Cross-Lagged Study

Drawing on embodied emotion theory, this study investigated the longitudinal interplay between physical activity and negative emotional states among female college students across three waves of assessment. Female college students from five universities in Jiangxi Province, China, were assessed at three-month intervals over six months, with 1321 participants completing all three measurement waves. Physical activity was measured using the Physical Activity Rating Scale-3 (PARS-3), whereas negative emotional states were assessed using the Depression Anxiety Stress Scales-21 (DASS-21). Descriptive statistics, correlation analyses, and common method bias testing were performed using SPSS 26.0, while observed-variable and latent-variable cross-lagged panel models, together with multi-group analyses, were conducted using Mplus 8.3. Physical activity was significantly and negatively correlated with negative emotional states across all three measurement occasions (r = −0.363 to −0.249, all p < 0.01). After accounting for autoregressive effects and within-wave correlations, higher physical activity at T1 was associated with lower negative emotional states at T2 (β = −0.102, p < 0.001), and higher physical activity at T2 was associated with lower negative emotional states at T3 (β = −0.185, p < 0.001). Conversely, higher negative emotional states at T1 were associated with lower physical activity at T2 (β = −0.131, p < 0.001), and higher negative emotional states at T2 were associated with lower physical activity at T3 (β = −0.153, p < 0.001). An additional latent-variable cross-lagged panel model, in which negative emotional states were represented as a latent construct indicated by depression, anxiety, and stress, yielded the same direction and statistical significance for all four cross-lagged associations, although the standardized coefficients differed modestly in magnitude. Multi-group analyses indicated that these cross-lagged associations did not differ significantly across family residence or academic year groups. Overall, the findings point to a bidirectional pattern of longitudinal associations between physical activity and negative emotional states among female college students, in line with the embodied emotion perspective that bodily activity and emotional experiences may be interconnected over time. University mental health initiatives may therefore consider addressing both physical activity and negative emotional states, while recognizing that their longitudinal association appears to be bidirectional.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2026-09-21
DOI
https://doi.org/10.3390/bs16091706
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Physical Activity and Negative Emotional States Among Female College Students: A Three-Wave Cross-Lagged Study

Yuqing Yuan, Chang Hu, John M. Gary, Wen Zhang et al.
Behavioral Sciences
Physical Activity and Health
article

Physical Activity and Negative Emotional States Among Female College Students: A Three-Wave Cross-Lagged Study

Yuqing Yuan, Chang Hu, John M. Gary, Wen Zhang, Xinyi Chen
article en

Abstract

Drawing on embodied emotion theory, this study investigated the longitudinal interplay between physical activity and negative emotional states among female college students across three waves of assessment. Female college students from five universities in Jiangxi Province, China, were assessed at three-month intervals over six months, with 1321 participants completing all three measurement waves. Physical activity was measured using the Physical Activity Rating Scale-3 (PARS-3), whereas negative emotional states were assessed using the Depression Anxiety Stress Scales-21 (DASS-21). Descriptive statistics, correlation analyses, and common method bias testing were performed using SPSS 26.0, while observed-variable and latent-variable cross-lagged panel models, together with multi-group analyses, were conducted using Mplus 8.3. Physical activity was significantly and negatively correlated with negative emotional states across all three measurement occasions (r = −0.363 to −0.249, all p < 0.01). After accounting for autoregressive effects and within-wave correlations, higher physical activity at T1 was associated with lower negative emotional states at T2 (β = −0.102, p < 0.001), and higher physical activity at T2 was associated with lower negative emotional states at T3 (β = −0.185, p < 0.001). Conversely, higher negative emotional states at T1 were associated with lower physical activity at T2 (β = −0.131, p < 0.001), and higher negative emotional states at T2 were associated with lower physical activity at T3 (β = −0.153, p < 0.001). An additional latent-variable cross-lagged panel model, in which negative emotional states were represented as a latent construct indicated by depression, anxiety, and stress, yielded the same direction and statistical significance for all four cross-lagged associations, although the standardized coefficients differed modestly in magnitude. Multi-group analyses indicated that these cross-lagged associations did not differ significantly across family residence or academic year groups. Overall, the findings point to a bidirectional pattern of longitudinal associations between physical activity and negative emotional states among female college students, in line with the embodied emotion perspective that bodily activity and emotional experiences may be interconnected over time. University mental health initiatives may therefore consider addressing both physical activity and negative emotional states, while recognizing that their longitudinal association appears to be bidirectional.

Behavioral SciencesVol. 16(9)
Linköping University (SE), Jiangxi Normal University (CN), University of Aveiro (PT), Hunan First Normal University (CN), University of Minho (PT)
Openalex Percentile: Top 11%
Physical Activity and Health
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.