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Epidemiological Study of Physical Activity, Negative Moods, and Their Correlations among College Students

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  • Bo Li

    (Physical Education College, Shangqiu University, Shangqiu 476000, China
    These authors contributed equally to this work.)

  • Wen-xia Tong

    (Physical Education College, Yangzhou University, Yangzhou 225127, China
    These authors contributed equally to this work.)

  • Meng Zhang

    (No. 2 Experimental Primary School in Haidian, Beijing 100085, China)

  • Guang-xu Wang

    (College of Physical Education, Henan Normal University, Xinxiang 453007, China)

  • Yang-sheng Zhang

    (School of Physical Education, Nanjing Xiaozhuang University, Nanjing 210000, China)

  • Shu-qiao Meng

    (Physical Education College, Yangzhou University, Yangzhou 225127, China)

  • Ya-xing Li

    (Physical Education College, Shangqiu University, Shangqiu 476000, China)

  • Zhong-lei Cui

    (Physical Education College, Shangqiu Normal University, Shangqiu 476000, China)

  • Jun-yong Zhang

    (School of Physical Education, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Yu-peng Ye

    (School of Physical Education, Jing-Gang-Shan University, Ji’an 343009, China)

  • Shan-shan Han

    (Institute of Sports Science, Nantong University, Nantong 226019, China)

Abstract

Objective: Negative moods in college students have caused frequent extreme behaviors. This study analyzed the current status and correlation between physical activity and negative moods in college students. Methods: A cross-sectional study design was used in the present research. Data on college students’ physical activity and negative moods were collected using the Sports Questionnaire Star software. The questionnaires were administered to college students in five colleges and universities in Henan and Jiangsu Provinces, China, and a total of 3711 correctly completed questionnaires were returned. Data on sociological and demographic information, the International Physical Activity Questionnaire Short Form (IPAQ-SF), and the Depression Anxiety and Stress Scale (DASS) were collected. The research was conducted in December 2021. Results: The low-intensity physical activity rate among college students was 55.56%, while depression, anxiety, and stress symptoms were detected in 35.14%, 65.29%, and 10.99%of the college students, respectively. Depression (K = 35.58, p < 0.001) and anxiety (K = 15.56, p < 0.001) rates were significantly different among the different physical activity intensity groups. The proportion of students who perform high-intensity physical activities was lower than those who perform low- and moderate-intensity physical activities. Conclusion: Low physical activity and high anxiety are evident among college students, and prolonged moderate-to-low-intensity physical activity (including static behavior) induces depression and anxiety. In the future, further studies can be conducted on improving the physical activity intensity of college students, improving the mental health monitoring and intervention systems of college students, and exploring the dose–effect relationship between physical activity and negative moods.

Suggested Citation

  • Bo Li & Wen-xia Tong & Meng Zhang & Guang-xu Wang & Yang-sheng Zhang & Shu-qiao Meng & Ya-xing Li & Zhong-lei Cui & Jun-yong Zhang & Yu-peng Ye & Shan-shan Han, 2022. "Epidemiological Study of Physical Activity, Negative Moods, and Their Correlations among College Students," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11748-:d:917657
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    References listed on IDEAS

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    1. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
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