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Mobile phone addiction and school performance among Chinese adolescents from low-income families: A moderated mediation model

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  • Bai, Chen
  • Chen, Xiaomeng
  • Han, Keqing

Abstract

Mobile phone addiction has gained much attention from researchers recently since its negative effects on adolescents’ school performance. The previous study has found a strong negative correlation between mobile phone addiction and school performance, however, little is known about mediating and moderating mechanisms underlying this association, particularly among adolescents from low-income families. The present study explored the mediating role of depression and the moderating role of family functioning in the relationships between mobile phone addiction and school performance. A national representative sample of 1794 Chinese adolescents from low-income families was recruited to complete measures of mobile phone addiction, school performance (academic rank and learning burnout), depression, and family functioning. Results indicated that depression partially mediated the association between mobile phone addiction. Besides, low-income family functioning was generally limited though it turned out to partially moderate the depression in related to association between mobile phone addiction and school performance. The present study can extend our understanding of how and when mobile phone addiction give rise to poor school performance among adolescents from low-income families. And it is necessary to strengthen functioning of disadvantaged families by lunching more family-oriented social support policies. Limitations and implications of this study were also discussed.

Suggested Citation

  • Bai, Chen & Chen, Xiaomeng & Han, Keqing, 2020. "Mobile phone addiction and school performance among Chinese adolescents from low-income families: A moderated mediation model," Children and Youth Services Review, Elsevier, vol. 118(C).
    • Handle: RePEc:eee:cysrev:v:118:y:2020:i:c:s0190740920307738
    DOI: 10.1016/j.childyouth.2020.105406
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    1. Stijn Baert & Sunčica Vujić & Simon Amez & Matteo Claeskens & Thomas Daman & Arno Maeckelberghe & Eddy Omey & Lieven De Marez, 2020. "Smartphone Use and Academic Performance: Correlation or Causal Relationship?," Kyklos, Wiley Blackwell, vol. 73(1), pages 22-46, February.
    2. Marco J. Haenssgen, 2019. "Manifestations, Drivers, and Frictions of Mobile Phone Use in Low- and Middle-Income Settings: A Mixed Methods Analysis of Rural India and China," Journal of Development Studies, Taylor & Francis Journals, vol. 55(8), pages 1834-1858, August.
    3. Wang, Pengcheng & Liu, Shuoyu & Zhao, Meng & Yang, Xiaofan & Zhang, Guohua & Chu, Xiaoyuan & Wang, Xingchao & Zeng, Pan & Lei, Li, 2019. "How is problematic smartphone use related to adolescent depression? A moderated mediation analysis," Children and Youth Services Review, Elsevier, vol. 104(C), pages 1-1.
    4. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.
    5. Bettina F Piko & Aleksandra Luszczynska & Kevin M Fitzpatrick, 2013. "Social inequalities in adolescent depression: The role of parental social support and optimism," International Journal of Social Psychiatry, , vol. 59(5), pages 474-481, August.
    6. Liu, Qing-Qi & Yang, Xiu-Juan & Hu, Yu-Ting & Zhang, Chen-Yan & Nie, Yan-Gang, 2020. "How and when is family dysfunction associated with adolescent mobile phone addiction? Testing a moderated mediation model," Children and Youth Services Review, Elsevier, vol. 111(C).
    7. Li, Jinfeng & Li, Dongping & Jia, Jichao & Li, Xian & Wang, Yanhui & Li, Yang, 2018. "Family functioning and internet addiction among adolescent males and females: A moderated mediation analysis," Children and Youth Services Review, Elsevier, vol. 91(C), pages 289-297.
    8. Di Mo & Linxiu Zhang & Hongmei Yi & Renfu Luo & Scott Rozelle & Carl Brinton, 2013. "School Dropouts and Conditional Cash Transfers: Evidence from a Randomised Controlled Trial in Rural China's Junior High Schools," Journal of Development Studies, Taylor & Francis Journals, vol. 49(2), pages 190-207, February.
    9. Xie, Xiaochun & Chen, Wu & Zhu, Xiaowei & He, Dan, 2019. "Parents' phubbing increases Adolescents' Mobile phone addiction: Roles of parent-child attachment, deviant peers, and gender," Children and Youth Services Review, Elsevier, vol. 105(C), pages 1-1.
    10. Ma, Wanglin & Renwick, Alan & Nie, Peng & Tang, Jianjun & Cai, Rong, 2018. "Off-farm work, smartphone use and household income: Evidence from rural China," China Economic Review, Elsevier, vol. 52(C), pages 80-94.
    11. Lei Wang & Mengjie Li & Cody Abbey & Scott Rozelle, 2018. "Human Capital and the Middle Income Trap: How Many of China's Youth are Going to High School?," The Developing Economies, Institute of Developing Economies, vol. 56(2), pages 82-103, June.
    12. Andrew Lepp & Jacob E. Barkley & Aryn C. Karpinski, 2015. "The Relationship Between Cell Phone Use and Academic Performance in a Sample of U.S. College Students," SAGE Open, , vol. 5(1), pages 21582440155, February.
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    1. Sana Sadiq & Khadija Anasse & Najib Slimani, 2022. "The impact of mobile phones on high school students: connecting the research dots," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 252-270, April.
    2. Xiong, Sicheng & Zhang, Anqi & Zhang, Bin & Xu, Yi, 2023. "Patterns of smartphone addiction in adolescents and their association with multiple ecological factors: A latent profile analysis," Children and Youth Services Review, Elsevier, vol. 155(C).

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