Evidence map›Paper›PMID 41310549›Full record

ArticleBMC public health2025

Associations of accelerometer-measured physical activity, sedentary behaviour and different types of smartphone apps usage among university students: a 7-day tracking study.

Mengyao Shi, Zuhang Zhao, Xiang Fan

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mengyao ShiDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zuhang ZhaoDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xiang FanDepartment of Physical Education, Shanghai Jiao Tong University, Shanghai, 200240, China. fansheva@sjtu.edu.cn.

Funding

The National Social Science Fund of China 23BTY065
6 · The paper itself

Abstract

backgroundPrevious studies suggest that total screen time does not comprehensively predict health behavior. The effects on health behaviors vary by app type. This study examines the association of different app categories (social, entertainment, game, education) related to physical activity (PA) and sedentary behavior (SB) patterns among university students.

methodsThis study followed 345 university students aged 18–22 for 7 days. Physical activity (PA), and sedentary behavior (SB) were objectively measured using the ActiGraph GT3X-BT accelerometer. Smartphone app usage was tracked via objective daily survey logs. After the 7-day tracking period, semi-structured interviews were conducted to gather detailed information on app usage and physical activity. Data analysis was performed using SPSS 26.0 and R software.

resultsIn 248 participants (139 males, 109 females), Males had higher daily energy expenditure and more sedentary time (ST) compared to females, who spent more time in light-intensity physical activity (LPA) but less in vigorous-intensity physical activity (VPA). Males showed a positive correlation between entertainment app usage and ST (r = 0.271, p = 0.017) and a negative correlation with sedentary interval (SI) (r = -0.266, p = 0.019). In females, social app usage correlated with increased LPA (r = 0.321, p < 0.001) and VPA was positively correlated with screen time (ScT) (r = 0.195, p = 0.042). App usage also influenced SB patterns, particularly in active individuals. After controlling for confounding factors, gaming app usage in males who inactive decreased LPA (0.341 min, p = 0.036). In females, social app usage increased LPA (0.112 min, p = 0.018) but decreased VPA (0.012 min, p = 0.011) in those who inactive. ScT was linked to an increase in ST and to a decrease in SI time in both genders.

conclusionsDifferent smartphone app categories show distinct associations with physical activity and sedentary behavior, with social apps linked to more light activity and entertainment/gaming apps to more sedentary patterns, especially in males.

Indexed as

AccelerometryExerciseMobile ApplicationsSedentary BehaviorSmartphoneStudentsAdolescentFemaleHumansMaleUniversitiesYoung AdultAccelerometer-measuredDigital healthPhysical activitySedentary behaviourSmartphone apps

Identifiers

PMID41310549
PMCPMC12752285

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.