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The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis.
- Source :
-
Frontiers in public health [Front Public Health] 2024 Jun 20; Vol. 12, pp. 1386500. Date of Electronic Publication: 2024 Jun 20 (Print Publication: 2024). - Publication Year :
- 2024
-
Abstract
- Background: The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5.<br />Methods: We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction ( p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751).<br />Results: The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction.<br />Conclusion: This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2024 Wu, Jia, Li, Liu, Zhang, Zhang, Jia and Fan.)
- Subjects :
- Humans
Adolescent
Male
Female
China
Surveys and Questionnaires
Anxiety psychology
Depression psychology
Depression epidemiology
Stress, Psychological psychology
Adolescent Behavior psychology
ROC Curve
Latent Class Analysis
Behavior, Addictive psychology
Cell Phone statistics & numerical data
Resilience, Psychological
Subjects
Details
- Language :
- English
- ISSN :
- 2296-2565
- Volume :
- 12
- Database :
- MEDLINE
- Journal :
- Frontiers in public health
- Publication Type :
- Academic Journal
- Accession number :
- 38966703
- Full Text :
- https://doi.org/10.3389/fpubh.2024.1386500