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An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial

Author

Listed:
  • Hala K. Al-Nawaiseh

    (Department of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman 11942, Jordan
    Department of Nutrition and Food Science, Faculty of Agriculture and Life Science, Texas A&M University, College Station, TX 5429-3011, USA)

  • William A. McIntosh

    (Department of Nutrition and Food Science, Faculty of Agriculture and Life Science, Texas A&M University, College Station, TX 5429-3011, USA)

  • Lisako J. McKyer

    (Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX 5429-3011, USA)

Abstract

Using m-Health apps can provide researchers and others with an effective way for improving physical activity (PA) and healthy lifestyle behaviors. The promotion of health should move from a model focused on the physical and biological basis of illness and towards a focus on the behavioral changes that support health. Therefore, the aims of the current study were to improve PA (step-counts) and body weight using a theory-based m-Health app. A 12-week randomized treatment trial was carried out at Texas A&M University, Texas, college station. College students ( n = 130) were recruited. They were randomized in an equal ratio of 1:1 to intervention (m-Health app) ( n = 65) and control ( n = 65) conditions. The response rate was (87.6%). Both groups utilized a Smartphone app. The intervention group received PA goals of (10,000 steps/day), using an m-Health app. The control group was provided with information related to daily recommended PA levels. The primary change was daily step count between the baseline and follow-up. The secondary outcome was the body mass index (BMI). Descriptive statistics were used to summarize the baseline differences between the control and intervention groups. Independent sample t -test were used for comparison between the intervention and control groups. Post-intervention PAs were higher for the intervention group (mean = 54,896.) vs. control group (mean = 45,530.12; p < 0.05). The intervention group’s step-counts increased significantly (pre-mean = 40,320.38 steps per week; post-mean = 54,896.27 steps per week, p < 0.05). The body-weight changes were significant among the intervention group ( p < 0.05). m-Health apps can increase PA and improve body weight, with goal setting and feedback as key intervention components. Future studies should personalize PA goals and feedback.

Suggested Citation

  • Hala K. Al-Nawaiseh & William A. McIntosh & Lisako J. McKyer, 2022. "An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial," IJERPH, MDPI, vol. 19(12), pages 1-10, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7228-:d:837613
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    Citations

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    Cited by:

    1. Fang Yuan & Sanying Peng & Ahmad Zamri Khairani & Jinghong Liang, 2024. "A Systematic Review and Meta-Analysis of the Efficacy of Physical Activity Interventions among University Students," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    2. Fang Fang & Yin Zhou & Shi Ying & Zhijuan Li, 2023. "A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis," IJERPH, MDPI, vol. 20(2), pages 1-14, January.
    3. Sanying Peng & Fang Yuan & Ahmad Tajuddin Othman & Xiaogang Zhou & Gang Shen & Jinghong Liang, 2022. "The Effectiveness of E-Health Interventions Promoting Physical Activity and Reducing Sedentary Behavior in College Students: A Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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