Accelerometer-measured physical activity: comparing young adult football players and non-athletic peers

While physical inactivity represents a global health concern, the relationship between structured sports participation and overall physical activity patterns remains unclear. This study examined whether football practice enhances adherence to physical activity guidelines and influences lifestyle activity patterns beyond structured practice sessions. Twenty-seven participants [football players (EG) <i>n</i> = 16, age 23.4 ± 2.7 years; non-athletes (CG) <i>n</i> = 11, age 24.1 ± 3.2 years] wore accelerometers for seven consecutive days. Physical activity parameters including overall physical activity (OPA), physical inactivity (PI), light physical activity (LPA), moderate physical activity (MPA), vigorous physical activity (VPA), and moderate-to-vigorous physical activity (MVPA) were assessed using validated cut-points. Data were analyzed using multivariate GLM procedures, with separate analyses conducted including and excluding structured practice sessions. Both groups exceeded recommendations for MPA (EG: 449.3 ± 98.8 min/week, <i>p</i> < 0.001; CG: 414.6 ± 86.4 min/week, <i>p</i> = 0.002). However, neither group met VPA recommendations of ≥75 min/week (EG: 60.6 ± 20.5 min/week, 19.3% deficit; CG: 2.8 ± 3.6 min/week, 96.3% deficit). Football players demonstrated 2,064% higher VPA than non-athletes (<i>p</i> < 0.001, <i>η</i> <sup>2</sup> = 0.761). Critically, even when practice sessions were excluded, EG maintained significantly higher VPA (13.6 vs. 2.8 min/week, <i>p</i> = 0.076) and overall activity levels compared to CG, while exhibiting 46.76% lower LPA (<i>p</i> = 0.001, <i>η</i> <sup>2</sup> = 0.376). Structured football participation creates positive transfer effects extending beyond practice contexts, with athletes maintaining higher activity intensities during periods without practice. However, insufficient VPA across both populations highlights the need for targeted interventions to optimize physical activity profiles. These findings support sports participation as a public health strategy while emphasizing the importance of specific high-intensity activity promotion to meet international guidelines.

Authors

Institutions

Publication Details

Journal
Frontiers in Sports and Active Living
Published
2026-03-05
DOI
https://doi.org/10.3389/fspor.2026.1797369
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
OCT
article

Accelerometer-measured physical activity: comparing young adult football players and non-athletic peers

Martin Domokos, Boštjan Šimunič, Cerasela Domokos, Sasa JOVANOVIC et al.
Frontiers in Sports and Active Living
Physical Activity and Health
article

Accelerometer-measured physical activity: comparing young adult football players and non-athletic peers

Martin Domokos, Boštjan Šimunič, Cerasela Domokos, Sasa JOVANOVIC, Željko Sekulić
article en

Abstract

While physical inactivity represents a global health concern, the relationship between structured sports participation and overall physical activity patterns remains unclear. This study examined whether football practice enhances adherence to physical activity guidelines and influences lifestyle activity patterns beyond structured practice sessions. Twenty-seven participants [football players (EG) <i>n</i> = 16, age 23.4 ± 2.7 years; non-athletes (CG) <i>n</i> = 11, age 24.1 ± 3.2 years] wore accelerometers for seven consecutive days. Physical activity parameters including overall physical activity (OPA), physical inactivity (PI), light physical activity (LPA), moderate physical activity (MPA), vigorous physical activity (VPA), and moderate-to-vigorous physical activity (MVPA) were assessed using validated cut-points. Data were analyzed using multivariate GLM procedures, with separate analyses conducted including and excluding structured practice sessions. Both groups exceeded recommendations for MPA (EG: 449.3 ± 98.8 min/week, <i>p</i> < 0.001; CG: 414.6 ± 86.4 min/week, <i>p</i> = 0.002). However, neither group met VPA recommendations of ≥75 min/week (EG: 60.6 ± 20.5 min/week, 19.3% deficit; CG: 2.8 ± 3.6 min/week, 96.3% deficit). Football players demonstrated 2,064% higher VPA than non-athletes (<i>p</i> < 0.001, <i>η</i> <sup>2</sup> = 0.761). Critically, even when practice sessions were excluded, EG maintained significantly higher VPA (13.6 vs. 2.8 min/week, <i>p</i> = 0.076) and overall activity levels compared to CG, while exhibiting 46.76% lower LPA (<i>p</i> = 0.001, <i>η</i> <sup>2</sup> = 0.376). Structured football participation creates positive transfer effects extending beyond practice contexts, with athletes maintaining higher activity intensities during periods without practice. However, insufficient VPA across both populations highlights the need for targeted interventions to optimize physical activity profiles. These findings support sports participation as a public health strategy while emphasizing the importance of specific high-intensity activity promotion to meet international guidelines.

Frontiers in Sports and Active LivingVol. 8
University of Banja Luka (BA), West University of Timişoara (RO), PUH Team (Slovenia) (SI)
Openalex Percentile: Top 32%
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.