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在身体活动情境中,具有和不具有自我效能感成分的智能设备应用程序与体重指数的关联。

Associations of smart device apps with and without a perceived self-efficacy component in a physical activity context with BMI.

作者信息

Loder Alexander Karl Ferdinand, van Poppel Mireille Nicoline Maria

机构信息

University of Graz, Austria.

出版信息

J Health Psychol. 2025 May;30(6):1334-1348. doi: 10.1177/13591053241258254. Epub 2024 Jun 19.

Abstract

Smart device apps can be used to promote physical activity, decrease sedentariness, or increase self-efficacy to get active in college students, possibly reducing their obesity risk. This study assessed associations of college students' smart device use with body mass index (BMI), expecting associations between physical activity parameters and self-efficacy with BMI, moderated by app type. In an online survey, app data of a week from student's devices, weight, height, physical activity, and self-efficacy to get active were collected from 120 students. Apps were categorized "physical activity," "physical activity with a self-efficacy component," or "unrelated." Use time of physical activity apps is not associated with BMI, while self-efficacy app time show negative and unrelated app time positive associations. Self-efficacy may be an important component in app design for obesity risk reduction of college students. Test economy was low, which is why future studies need to concentrate on better data extraction methods.

摘要

智能设备应用程序可用于促进大学生的体育活动、减少久坐行为或增强自我效能感,从而有可能降低他们患肥胖症的风险。本研究评估了大学生使用智能设备与体重指数(BMI)之间的关联,预期体育活动参数和自我效能感与BMI之间存在关联,并受应用程序类型的调节。在一项在线调查中,从120名学生那里收集了他们设备一周的应用程序数据、体重、身高、体育活动以及参与体育活动的自我效能感。应用程序被分为“体育活动类”、“带有自我效能感成分的体育活动类”或“无关类”。体育活动应用程序的使用时间与BMI无关,而自我效能感应用程序的使用时间显示出负相关,无关应用程序的使用时间则显示出正相关。自我效能感可能是应用程序设计中降低大学生肥胖风险的一个重要组成部分。测试效率较低,这就是为什么未来的研究需要专注于更好的数据提取方法。

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本文引用的文献

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Higher Academic Stress Was Associated with Increased Risk of Overweight and Obesity among College Students in China.
Int J Environ Res Public Health. 2020 Jul 31;17(15):5559. doi: 10.3390/ijerph17155559.
3
Smartphone Use and Sleep Quality in Chinese College Students: A Preliminary Study.
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6
Increasing and Evolving Role of Smart Devices in Modern Medicine.
Eur Cardiol. 2019 Dec 18;14(3):181-186. doi: 10.15420/ecr.2019.02. eCollection 2019 Dec.
7
Smartphone Use and Physical Activity among College Students in Health Science-Related Majors in the United States and Thailand.
Int J Environ Res Public Health. 2019 Apr 12;16(8):1315. doi: 10.3390/ijerph16081315.
8
"Pokémon Go!" May Promote Walking, Discourage Sedentary Behavior in College Students.
Games Health J. 2017 Jun;6(3):165-170. doi: 10.1089/g4h.2017.0009.
9
Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity.
Front Public Health. 2017 Jan 11;4:289. doi: 10.3389/fpubh.2016.00289. eCollection 2016.
10
Using social and mobile tools for weight loss in overweight and obese young adults (Project SMART): a 2 year, parallel-group, randomised, controlled trial.
Lancet Diabetes Endocrinol. 2016 Sep;4(9):747-755. doi: 10.1016/S2213-8587(16)30105-X. Epub 2016 Jul 14.

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