Network analysis of mental health among adolescents and young adults with varying levels of physical activity

Adolescent and young adult (AYA) mental health issues are increasingly prominent, with physical activity recognized as an effective improvement method. However, intervention studies often overlook mental health differences among groups with varying physical activity levels. This study uses network analysis to explore mental health structures and core characteristics among these groups to support targeted strategies. A total of 1784 adolescents and 1459 young adults participated in a survey assessing physical activity and psychological factors. Results showed that groups with higher physical activity levels scored higher on life satisfaction and positive affect, and lower on stress, anxiety, and depression. Network analysis revealed that life satisfaction and panic occupy central positions in the mental health network, showing consistency across different physically active groups. Thus, physical activity positively affects AYA mental health. Interventions enhancing life satisfaction and reducing panic are key for improving mental health, providing insights for universal and targeted strategies.

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Publication Details

Journal
Journal of Health Psychology
Published
2025-06-19
DOI
https://doi.org/10.1177/13591053251345583
Citations
3
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
6.35
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article

Network analysis of mental health among adolescents and young adults with varying levels of physical activity

Zhi‐Xiong Mao, Youteng Gan, Zijian Zhao
3 citations
Journal of Health Psychology
Mental Health Research Topics
6.35
article

Network analysis of mental health among adolescents and young adults with varying levels of physical activity

Zhi‐Xiong Mao, Youteng Gan, Zijian Zhao
article en
3 citations

Abstract

Adolescent and young adult (AYA) mental health issues are increasingly prominent, with physical activity recognized as an effective improvement method. However, intervention studies often overlook mental health differences among groups with varying physical activity levels. This study uses network analysis to explore mental health structures and core characteristics among these groups to support targeted strategies. A total of 1784 adolescents and 1459 young adults participated in a survey assessing physical activity and psychological factors. Results showed that groups with higher physical activity levels scored higher on life satisfaction and positive affect, and lower on stress, anxiety, and depression. Network analysis revealed that life satisfaction and panic occupy central positions in the mental health network, showing consistency across different physically active groups. Thus, physical activity positively affects AYA mental health. Interventions enhancing life satisfaction and reducing panic are key for improving mental health, providing insights for universal and targeted strategies.

Journal of Health PsychologyVol. 31(1)
Guangdong University of Education (CN), Beijing Sport University (CN)
Openalex Percentile: Top 4%
Mental Health Research Topics
6.35
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