Unpacking the temporal dynamics of physical activity and loneliness: a 1-year interval analysis

This data-driven commentary expands on Surkalim et al. by analyzing the bidirectional relationship between physical activity (PA) and loneliness using 22 years of data from the Household, Income, and Labor Dynamics in Australia (HILDA) Survey. Employing random intercept cross-lagged panel modeling (RI-CLPM) with annual intervals and a more nuanced measure of loneliness, our findings suggest significant within-person bidirectional effects: increases in PA were associated with reductions in loneliness 1 year later. In contrast, higher loneliness predicted declines in PA. Generally, the former effect was stronger, whereas both effects are rather small. However, they can build up to large effects over time. The significant negative between-person correlation between habitual PA and loneliness further supports the negative association at a general between-person trait level. Considering both the results of Surkalim et al. and the findings presented here highlights the crucial role of the time interval under examination. These findings suggest that promoting regular PA can be an effective strategy for reducing loneliness, and that reducing loneliness has a positive effect on PA. Although both effects are generally small, their bidirectional nature suggests they may accumulate over time, reinforcing improvements in both health behavior and well-being.

Authors

Institutions

Publication Details

Journal
American Journal of Epidemiology
Published
2025-04-16
DOI
https://doi.org/10.1093/aje/kwaf077
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking the temporal dynamics of physical activity and loneliness: a 1-year interval analysis

Daniel Groß, Jasmin Haffa
1 citations
American Journal of Epidemiology
Health disparities and outcomes
2.17
article

Unpacking the temporal dynamics of physical activity and loneliness: a 1-year interval analysis

Daniel Groß, Jasmin Haffa
article en
1 citations

Abstract

This data-driven commentary expands on Surkalim et al. by analyzing the bidirectional relationship between physical activity (PA) and loneliness using 22 years of data from the Household, Income, and Labor Dynamics in Australia (HILDA) Survey. Employing random intercept cross-lagged panel modeling (RI-CLPM) with annual intervals and a more nuanced measure of loneliness, our findings suggest significant within-person bidirectional effects: increases in PA were associated with reductions in loneliness 1 year later. In contrast, higher loneliness predicted declines in PA. Generally, the former effect was stronger, whereas both effects are rather small. However, they can build up to large effects over time. The significant negative between-person correlation between habitual PA and loneliness further supports the negative association at a general between-person trait level. Considering both the results of Surkalim et al. and the findings presented here highlights the crucial role of the time interval under examination. These findings suggest that promoting regular PA can be an effective strategy for reducing loneliness, and that reducing loneliness has a positive effect on PA. Although both effects are generally small, their bidirectional nature suggests they may accumulate over time, reinforcing improvements in both health behavior and well-being.

American Journal of EpidemiologyVol. 194(8)
Ciena (United States) (US), University of Design Schwäbisch Gmünd (DE), University of Education Schwaebisch Gmuend (DE)
No poverty
Openalex Percentile: Top 16%
Health disparities and outcomes
2.17
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.

Unpacking the temporal dynamics of physical activity and loneliness: a 1-year interval analysis — Daniel Groß, Jasmin Haffa · American Journal of Epidemiology (2025) | TGRS Research Map | TGRS