Impact Of A Smart App On Health-related Fitness In College Students: 12-week Study Results

This study investigated the effects of a 12-week smart app intervention on health-related fitness and exercise behaviors among college students. PURPOSE: The primary objective was to assess whether a smart app could significantly enhance key health-related fitness metrics—speed, strength, endurance, and flexibility—compared to a self-monitoring group and a non-intervention control group. METHODS: A total of 1,171 freshmen from the 2023 cohort were randomly assigned to one of three groups: the smart app intervention group (N = 379), a self-monitoring group (N = 406), and a control group without intervention (N = 386). Over 12 weeks, participants engaged in regular physical activities and were assessed on health-related fitness metrics, including vital capacity, 50-meter dash, standing long jump, sit-and-reach, 1000-meter run (male), 800-meter run (female), pull-ups (male), and sit-ups (female). ANOVA and LSD post hoc comparisons were used to analyze differences across groups. RESULTS: The smart app intervention group showed significant improvements in speed (F = 11.62, p < 0.01), endurance (1000-meter run F = 11.77, p < 0.01; 800-meter run F = 13.05, p < 0.01), and strength (F = 9.82, p < 0.01), particularly in the 50-meter dash and standing long jump. This group outperformed both the self-monitoring and control groups in sprinting, endurance, and strength exercises. However, no significant differences were found in lung capacity among groups, and flexibility improvements were more pronounced among males than females. CONCLUSION: The findings indicate that smart apps can effectively improve health-related fitness, particularly in areas requiring speed, strength, and endurance. The personalized training programs and real-time feedback offered by the app were more impactful than self-monitoring strategies. These results suggest that incorporating smart technology in college physical education programs could help students achieve better health and fitness outcomes.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001158256.43685.9d
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact Of A Smart App On Health-related Fitness In College Students: 12-week Study Results

Jin Xi, Debao Zhang, Qiyang Zou, Xin Zhao et al.
Medicine & Science in Sports & Exercise
Mobile Health and mHealth Applications
article

Impact Of A Smart App On Health-related Fitness In College Students: 12-week Study Results

Jin Xi, Debao Zhang, Qiyang Zou, Xin Zhao, Chunbo Qin, Daixi Xie
article en

Abstract

This study investigated the effects of a 12-week smart app intervention on health-related fitness and exercise behaviors among college students. PURPOSE: The primary objective was to assess whether a smart app could significantly enhance key health-related fitness metrics—speed, strength, endurance, and flexibility—compared to a self-monitoring group and a non-intervention control group. METHODS: A total of 1,171 freshmen from the 2023 cohort were randomly assigned to one of three groups: the smart app intervention group (N = 379), a self-monitoring group (N = 406), and a control group without intervention (N = 386). Over 12 weeks, participants engaged in regular physical activities and were assessed on health-related fitness metrics, including vital capacity, 50-meter dash, standing long jump, sit-and-reach, 1000-meter run (male), 800-meter run (female), pull-ups (male), and sit-ups (female). ANOVA and LSD post hoc comparisons were used to analyze differences across groups. RESULTS: The smart app intervention group showed significant improvements in speed (F = 11.62, p < 0.01), endurance (1000-meter run F = 11.77, p < 0.01; 800-meter run F = 13.05, p < 0.01), and strength (F = 9.82, p < 0.01), particularly in the 50-meter dash and standing long jump. This group outperformed both the self-monitoring and control groups in sprinting, endurance, and strength exercises. However, no significant differences were found in lung capacity among groups, and flexibility improvements were more pronounced among males than females. CONCLUSION: The findings indicate that smart apps can effectively improve health-related fitness, particularly in areas requiring speed, strength, and endurance. The personalized training programs and real-time feedback offered by the app were more impactful than self-monitoring strategies. These results suggest that incorporating smart technology in college physical education programs could help students achieve better health and fitness outcomes.

Medicine & Science in Sports & ExerciseVol. 57(10S)
Union Hospital (HK), Shenzhen University (CN), Louisiana State University in Shreveport (US), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 60%
Mobile Health and mHealth Applications
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.