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Associations between Self-Determined Motivation, Accelerometer-Determined Physical Activity, and Quality of Life in Chinese College Students

Author

Listed:
  • Kun Tao

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Wenxi Liu

    (School of Kinesiology, University of Minnesota, Twin Cities, MN 55414, USA)

  • Shanying Xiong

    (Department of Physical Education, Shenzhen Polytechnic University, Shenzhen 518055, China)

  • Lodewyk Ken

    (Department of Kinesiology, Brock University, Ontario L2S 3A1, Canada)

  • Nan Zeng

    (Department of Food Science and Human Nutrition, Colorado State University, Fort Collins, CO 80523,USA)

  • Qingwen Peng

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Xiaoni Yan

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Junli Wang

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Yizhong Wu

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Mingzhi Lei

    (College of Kinesiology and Health Science, Huaihua University, Huaihua 418008, China)

  • Xianxiong Li

    (School of Physical Education, Hunan Normal University, Changsha 410081, China)

  • Zan Gao

    (School of Kinesiology, University of Minnesota, Twin Cities, MN 55414, USA)

Abstract

Purpose : To better promote college students’ physical activity (PA) and quality of life (QoL), it is imperative to understand this population’s PA correlates, such as self-determined motivation and perceived competence. However, few studies existed in this area of inquiry among Chinese college students. Thus, the purpose of this study was to examine the relationships among Chinese college students’ self-determined motivation, PA, and QoL. Method: A total of 220 college students (115 females; M age = 20.29 years, SD = 2.37; M BMI = 20.67) were recruited from one university in south-central China. Participants were instructed to wear the ActiGraph GT9X Link (ActiGraph, Pensacola, FL, USA) accelerometers for 7 days. A minute-by-minute stepping rate methodology was used to determine participants sedentary behaviors, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Participants’ self-determined motivation (autonomous, controlled, and amotivation), perceived competence, and QoL (physical function, stress, depression, fatigue, sleep, and social issues) were assessed by a battery of validated surveys in June 2017. Results : Participants reported moderate–high levels of PA correlates and QoL as the means ranged from 5.5 to 6 (out of 7) for PA correlates and 2.75 to 4 (out of 4) for QoL. The minute-by-minute stepping rate revealed participants had average 580.51 min/day in sedentary, 134.77 min/day in LPA, and 1.57 min/day in MVPA. Regression analyses for physical function, stress, depression, and social issues suggested that the models explained 4%–8% of the variances. Specifically, perceived competence was the negative predictor of the problems with physical function (β = −0.17, p < 0.05) and depression (β = −0.18, p < 0.01), amotivation was positively associated with depression and stress ( p < 0.05). Additionally, controlled motivation predicted the ability to participate in social roles and activities (β = 0.22, p < 0.05). No significant predictors emerged for fatigue or for sleep. Conclusions : Findings suggest Chinese college students’ perceived competence and social support are critical for improving PA and QoL. In addition, strategies are needed to motivate Chinese college students to engage in PA participation and improve overall well-being.

Suggested Citation

  • Kun Tao & Wenxi Liu & Shanying Xiong & Lodewyk Ken & Nan Zeng & Qingwen Peng & Xiaoni Yan & Junli Wang & Yizhong Wu & Mingzhi Lei & Xianxiong Li & Zan Gao, 2019. "Associations between Self-Determined Motivation, Accelerometer-Determined Physical Activity, and Quality of Life in Chinese College Students," IJERPH, MDPI, vol. 16(16), pages 1-15, August.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:16:p:2941-:d:258116
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Wenxi Liu & Qin Yuan & Nan Zeng & Daniel J. McDonough & Kun Tao & Qingwen Peng & Zan Gao, 2021. "Relationships between College Students’ Sedentary Behavior, Sleep Quality, and Body Mass Index," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    3. Enrique Ramón-Arbués & Emmanuel Echániz-Serrano & Blanca Martínez-Abadía & Isabel Antón-Solanas & Ana Cobos-Rincón & Iván Santolalla-Arnedo & Raúl Juárez-Vela & Benjamin Adam Jerue, 2022. "Predictors of the Quality of Life of University Students: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    4. Miloš Ilić & Huiwen Pang & Tomislav Vlaški & Maja Grujičić & Budimka Novaković, 2022. "Motives and Barriers for Regular Physical Activity among Medical Students from the Western Balkans (South-East Europe Region)," IJERPH, MDPI, vol. 19(23), pages 1-21, December.
    5. Jesús Granero-Jiménez & María Mar López-Rodríguez & Iria Dobarrio-Sanz & Alda Elena Cortés-Rodríguez, 2022. "Influence of Physical Exercise on Psychological Well-Being of Young Adults: A Quantitative Study," IJERPH, MDPI, vol. 19(7), pages 1-14, April.
    6. Xiuqiang Wang & Si Man Lei & Shenglong Le & Yanxiang Yang & Boyi Zhang & Wu Yao & Zan Gao & Sulin Cheng, 2020. "Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults," IJERPH, MDPI, vol. 17(15), pages 1-17, August.
    7. I-Hua Chu & Yu-Ling Chen & Pei-Tzu Wu & Wen-Lan Wu & Lan-Yuen Guo, 2021. "The Associations between Self-Determined Motivation, Multidimensional Self-Efficacy, and Device-Measured Physical Activity," IJERPH, MDPI, vol. 18(15), pages 1-11, July.

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