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The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects

BACKGROUND: Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity am...

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Autores principales: Wang, Taotao, Ren, Mengyuan, Shen, Ying, Zhu, Xiaorou, Zhang, Xing, Gao, Min, Chen, Xueying, Zhao, Ai, Shi, Yuhui, Chai, Weizhong, Liu, Xinchuan, Sun, Xinying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785721/
https://www.ncbi.nlm.nih.gov/pubmed/31573936
http://dx.doi.org/10.2196/12606
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author Wang, Taotao
Ren, Mengyuan
Shen, Ying
Zhu, Xiaorou
Zhang, Xing
Gao, Min
Chen, Xueying
Zhao, Ai
Shi, Yuhui
Chai, Weizhong
Liu, Xinchuan
Sun, Xinying
author_facet Wang, Taotao
Ren, Mengyuan
Shen, Ying
Zhu, Xiaorou
Zhang, Xing
Gao, Min
Chen, Xueying
Zhao, Ai
Shi, Yuhui
Chai, Weizhong
Liu, Xinchuan
Sun, Xinying
author_sort Wang, Taotao
collection PubMed
description BACKGROUND: Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE: This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS: A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS: Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (P<.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; P<.001) and self-efficacy (beta=.294; P<.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (P<.001). CONCLUSIONS: This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.
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spelling pubmed-67857212019-10-31 The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects Wang, Taotao Ren, Mengyuan Shen, Ying Zhu, Xiaorou Zhang, Xing Gao, Min Chen, Xueying Zhao, Ai Shi, Yuhui Chai, Weizhong Liu, Xinchuan Sun, Xinying JMIR Mhealth Uhealth Original Paper BACKGROUND: Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE: This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS: A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS: Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (P<.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; P<.001) and self-efficacy (beta=.294; P<.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (P<.001). CONCLUSIONS: This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels. JMIR Publications 2019-09-25 /pmc/articles/PMC6785721/ /pubmed/31573936 http://dx.doi.org/10.2196/12606 Text en ©Taotao Wang, Mengyuan Ren, Ying Shen, Xiaorou Zhu, Xing Zhang, Min Gao, Xueying Chen, Ai Zhao, Yuhui Shi, Weizhong Chai, Xinchuan Liu, Xinying Sun. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 25.09.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Wang, Taotao
Ren, Mengyuan
Shen, Ying
Zhu, Xiaorou
Zhang, Xing
Gao, Min
Chen, Xueying
Zhao, Ai
Shi, Yuhui
Chai, Weizhong
Liu, Xinchuan
Sun, Xinying
The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title_full The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title_fullStr The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title_full_unstemmed The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title_short The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects
title_sort association among social support, self-efficacy, use of mobile apps, and physical activity: structural equation models with mediating effects
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785721/
https://www.ncbi.nlm.nih.gov/pubmed/31573936
http://dx.doi.org/10.2196/12606
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