Original Article

Effect of an Intervention Based on the Health Action Process Approach Model on Mobile Phone Addiction in Adolescents

Abstract

Background: Mobile phone addiction in adolescents is a serious social problem that not only negatively affects physical and mental health but also hinders social stability and development. However, studies on interventions for mobile phone addiction in adolescents are still few. Therefore, exploring interventions for mobile phone addiction in adolescents and scrutinizing the corresponding mechanism of action are crucial.

Methods: A questionnaire survey was conducted on 800 adolescents who were recruited using random sampling from communities in Hubei Province, China in 2023, and 232 of them were identified to have mobile phone addiction. Then, they were randomly divided into the experiment group, comprising 119 members, and the control group, composed of 113 members. The experiment group was given a 3-month intervention under the Health Action Process Approach (HAPA) model, whereas the control group was given no intervention.

Results: This intervention significantly reduced the level of mobile phone addiction in adolescents (P<0.05). It also significantly improved self-efficacy in adolescents with mobile phone addiction (P<0.05). The intervention can significantly improved life satisfaction in adolescents with mobile phone addiction (P<0.05). Self-efficacy and life satisfaction had a chain mediating effect (P<0.001).

Conclusion: The HAPA model is conducive to alleviating mobile phone addiction. It further enhances the intervention effect by improving self-efficacy and life satisfaction in adolescents.

1. Ji WM (2020). Research Report on the Use of Internet Media by Chinese Teenagers in the Past Decade. China News Yearb, 23(1): 572-575
2. Xiong SC, Zhang B, Jiang YZ, Jiang HB, Chen Y (2021). Global Prevalence of Mobile Phone Addiction:A Meta-Analysis. Stud Psychol Behav, 19(6): 802-808.
3. Ishii M, Manabe C, Ito I, et al (2024). Rela-tionship between Smartphone Addiction and Headaches in People with Chronic Headache. BPB Reports, 7(2): 33-38.
4. Nahidi M, Ahmadi M, Bordbar MRF, et al (2024). The relationship between mobile phone addiction and depression, anxie-ty, and sleep quality in medical students. Int Clin Psychopharm, 39(2): 70-81.
5. Kim DJ (2020). A systematic review on the intervention program of smartphone addiction. J Korea Academia-Industrial Coop Soc, 21(3), 276-288.
6. Zhang K, Lu X, Zhang X, et al (2023). Ef-fects of psychological or exercise inter-ventions on problematic Mobile phone use: a systematic review and Meta-analysis. Current Addiction Reports, 10(2), 230-253.
7. Zhang C Q, Zhang R, Schwarzer R, et al (2019). A meta-analysis of the health ac-tion process approach. Health Psychol, 38(7): 623-37.
8. Joveini H, Rohban A, Eftekhar Ardebili H, et al (2020). The effects of an education program on hookah smoking cessation in university students: an application of the Health Action Process Approach (HAPA). J Subst Use, 25(1): 62-69.
9. Lee J, Jang B, Kim Y (2024). The relation-ship between exercise intention, behav-ioral plans, and exercise behavior among Korean college students using the Health Action Process Approach (HAPA). Int J Sport Exerc Ps, 1-22.
10. Donald JN, Bradshaw EL, Ryan RM, et al (2020). Mindfulness and its association with varied types of motivation: A sys-tematic review and meta-analysis using self-determination theory. Pers Soc Psychol Bull, 46(7): 1121-1138.
11. Rossi T, Trevisol A, Santos-Nunes D, et al (2020). Perceived overall self-efficacy and motivation to learn in high school teenagers. Acta Colomb Psicol, 23(1): 264-271.
12. Wetzel M, Wörn J, Hünteler B, et al (2022). Heterogeneity in Trajectories of Life Satisfaction after Reunification: The Role of Individual Resources and Life Stage in Former East Germany. Soc Indic Res, 159(3): 1103-1123.
13. Ruggeri K, Garcia-Garzon E, Maguire Á, et al (2020). Well-being is more than hap-piness and life satisfaction: a multidi-mensional analysis of 21 countries. Health Qual Life Out, 18: 1-16.
14. Chérif L, Wood V M, Watier C (2021). Test-ing the effectiveness of a strengths-based intervention targeting all 24 strengths: Results from a randomized controlled trial. Psychol Rep, 124(3): 1174-1183.
15. Yang X, Zhou Z, Liu Q, et al (2019). Mobile phone addiction and adolescents’ anxie-ty and depression: The moderating role of mindfulness. J Child Fam Stud, 28: 822-830.
16. Kim SG, Park J, Kim HT, et al (2019). The relationship between smartphone addic-tion and symptoms of depression, anxi-ety, and attention-deficit/hyperactivity in South Korean adolescents. Ann Gen Psychiatry, 9:18:1.
17. Kwon M, Kim D J, Cho H, et al (2013). The smartphone addiction scale: develop-ment and validation of a short version for adolescents. PloS One, 8(12): e83558.
18. Hu W, Jiang Y H, Wang Q, et al (2021). Re-lationship between Short-form Video Social Media Addiction and Sleep Dis-turbance of College Students: The Medi-ating Role of Nighttime Social Media Use and the Moderating Role of Gen-der. Chinese J Clin Psychol, 29(1): 46-50.
19. Wang CK, Hu ZF, Liu Y (2001). Evidences for Reliability and Validity of the Chi-nese Version of General Self-Efficacy Scale. Chin J Appl Psychol, 7(1): 37-40.
20. Zhang XG, He LG, Zhang X (2004). Ado-lescent Students' Life Satisfaction:Its Construct and Scale Development. J Psy-chol Sci, 27(5): 1257-1260.
21. Li J, Zhan D, Zhou Y, et al. Loneliness and problematic mobile phone use among adolescents during the COVID-19 pan-demic: The roles of escape motivation and self-control. Addic Behav, 2021, 118: 106857.
22. Martinez-Calderon J, Meeus M, Struyf F, Luque-Suarez A (2020). The role of self-efficacy in pain intensity, function, psy-chological factors, health behaviors, and quality of life in people with rheumatoid arthritis: a systematic review. Physiother Theory Pract, 36(1), 21-37.
23. Keller J, Roitzheim C, Radtke T, et al (2021). A mobile intervention for self-efficacious and goal-directed smartphone use in the general popula-tion: randomized controlled trial. JMIR MHealth UHealth, 9(11): e26397.
24. Metulini R, Carpita M (2021). A spatio-temporal indicator for city users based on mobile phone signals and adminis-trative data. Soc Indic Res, 156(2-3): 761-781.
25. Rutkowski S, Suter L, Seiffge-Krenke I (2020). Adolescents' Life Satisfaction and Problem Behaviors: Personal and Social Resources as Mediators. J Youth Adoles-cence, 49(6), 1223-1239.
26. Kaur P, Sharma A, Mittal S, Mehta A (2021). Smartphone Addiction: Role of Self-Efficacy, Stress and Life Satisfaction among Indian Adolescents. Int J Ment Health Ad, 1-15.
27. Bektas İ, Kudubeş A A, Ayar D, et al (2021). Predicting the healthy lifestyle behav-iors of Turkish adolescents based on their health literacy and self-efficacy levels. J Pediatr Nurs, 59: e20-e25.
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IssueVol 53 No 6 (2024) QRcode
SectionOriginal Article(s)
Keywords
Mobile phone addiction Health action process approach (HAPA) model Self-efficacy Life satisfaction
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How to Cite
1.
Zhang L, Chen X, Zhu L. Effect of an Intervention Based on the Health Action Process Approach Model on Mobile Phone Addiction in Adolescents. Iran J Public Health. 2024;53(6):1284-1292.