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Kinship Support Differentially Predicts Problematic Smartphone Use in Left-behind Children Compared to Non-left-behind Children: A Longitudinal Study

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Abstract

Currently, severe problematic smartphone use among left-behind children in China is a prevalent issue. However, there is still relatively little research focusing on left-behind children’s problematic smartphone use. Left-behind children refer to children aged 6–16 who are left behind in their rural hometowns due to at least one of their parents working outside of the hometown. Based on the family systems theory, this study aims to investigate the predictive associations between different types of kinship support (parental support, grandparental support, and other relatives’ support) and problematic smartphone use among left-behind children. A total of 415 children participated in our survey, undergoing three longitudinal tests (Mage= 12.95, SD = 0.92, 286 left-behind children, 129 non-left-behind children). The results indicated that, compared to non-left-behind children, parental support had a more stable negative delayed effect (delayed effects mean stable predictive effects across time) on problematic smartphone use of left-behind children. Moreover, other relatives’ support had a marginally significant negative prediction on problematic smartphone use in left-behind children. Conversely, grandparental support had a positive delayed effect on problematic smartphone use of left-behind children, unlike the negative delayed effect of grandparental support on non-left-behind children’s problematic smartphone use. These findings highlight the differential effects of various kinship support systems on problematic smartphone use among left-behind children, providing new insights for intervention strategies based on the family systems theory.

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Data Availability

The data supporting the findings are not available due to privacy or ethical restrictions, but are available from the corresponding author on reasonable request.

References

  • Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can Disordered Mobile phone use be considered a behavioral addiction? An update on current evidence and a Comprehensive Model for Future Research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y.

    Article  Google Scholar 

  • Byrne, B. M. (2001). Structural equation modeling with Amos: Basic concepts, applications and programming. Erlbaum.

  • Cai, J., Wang, Y., Wang, F., Lu, J., Li, L., & Zhou, X. (2021). The Association of Parent-Child Communication with Internet Addiction in Left-behind Children in China: A cross-sectional study. International Journal of Public Health, 66(September), 1–7. https://doi.org/10.3389/ijph.2021.630700.

    Article  Google Scholar 

  • Cao, Q., An, J., Yang, Y., Peng, P., Xu, S., Xu, X., & Xiang, H. (2020). Correlation among psychological resilience, loneliness, and internet addiction among left-behind children in China: A cross-sectional study. Current Psychology, 4566–4573. https://doi.org/10.1007/s12144-020-00970-3.

  • China Academy of Rural Education Development. (2022). Rural Education Development in China, an Annual Report (2020–2022)

  • China Government. (2022). The 50th statistical report on the Development Status of China’s internet released. www.gov.cn.

  • China Research Center on Aging. (2019). China Quality of Life Development Report for the Elderly (2019). Social Sciences Academic Press(China).

  • Cialdini, R. B. (2001). The science of persuasion. Scientific American, 284(2), 76–81. https://doi.org/10.2307/26059056.

    Article  Google Scholar 

  • Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310. https://doi.org/10.1037/0033-2909.98.2.310.

    Article  CAS  PubMed  Google Scholar 

  • Cox, M. J., & Paley, B. (1997). Families as systems. Annual Review of Psychology, 48, 243–267. https://doi.org/10.1146/annurev.psych.48.1.243.

    Article  CAS  PubMed  Google Scholar 

  • Cox, M. J., & Paley, B. (2003). Understanding families as systems. Current Directions in Psychological Science, 12(5), 193–196. https://doi.org/10.1111/1467-8721.01259.

    Article  Google Scholar 

  • Csibi, S., Demetrovics, Z., & Szabó, A. (2016). Development and psychometric validation of the brief smartphone addiction scale (BSAS) with school children. Psychiatria Hungarica: A Magyar Pszichiatriai Tarsasag Tudomanyos Folyoirata, 31(1), 71–77.

    PubMed  Google Scholar 

  • Csibi, S., Griffiths, M. D., Cook, B., Demetrovics, Z., & Szabo, A. (2018). The psychometric properties of the Smartphone Application-based addiction scale (SABAS). International Journal of Mental Health and Addiction, 16(2), 393–403. https://doi.org/10.1007/s11469-017-9787-2.

    Article  PubMed  Google Scholar 

  • Edwards, O. W. (2003). Living with grandma: A grandfamily study. School Psychology International, 24(2), 204–217. https://doi.org/10.1177/0143034303024002005.

    Article  Google Scholar 

  • Extremera, N., Quintana-Orts, C., Sánchez-álvarez, N., & Rey, L. (2019). The role of cognitive emotion regulation strategies on problematic smartphone use: Comparison between problematic and non-problematic adolescent users. International Journal of Environmental Research and Public Health, 16(17), https://doi.org/10.3390/ijerph16173142.

  • Fan, X. (2022). Unpacking the Association between Family functionality and psychological distress among Chinese left-behind children: The mediating role of Social Support and Internet Addiction. International Journal of Environmental Research and Public Health, 19(20), 13327. https://doi.org/10.3390/ijerph192013327.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fan, X., & Fang, X. (2010). A comparison of Problem behaviors between parent-present children and parent-absent children in different care-taking modes. Chinese Journal of Clinical Psychology, 02, 232–234. https://doi.org/10.16128/j.cnki.1005-3611.2010.02.037.

    Article  Google Scholar 

  • Gao, Q., Zheng, H., Sun, R., & Lu, S. (2022). Parent-adolescent relationships, peer relationships, and adolescent mobile smartphone addiction: The mediating role of psychological needs satisfaction. Addictive Behaviors, 129(January), 107260. https://doi.org/10.1016/j.addbeh.2022.107260.

    Article  PubMed  Google Scholar 

  • Ge, Y., Se, J., & Zhang, J. (2015). Research on relationship among internet-addiction, personality traits and mental health of urban left-behind children. Global Journal of Health Science, 7(4), 60–69. https://doi.org/10.5539/gjhs.v7n4p60.

    Article  Google Scholar 

  • Gökçearslan, Ş., Uluyol, Ç., & Şahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among university students: A path analysis. Children and Youth Services Review, 91, 47–54.

    Article  Google Scholar 

  • Gunuc, S., & Dogan, A. (2013). The relationships between Turkish adolescents’ internet addiction, their perceived social support and family activities. Computers in Human Behavior, 29(6), 2197–2207. https://doi.org/10.1016/j.chb.2013.04.011.

    Article  Google Scholar 

  • Guo, J., Chen, L., Wang, X., Liu, Y., Chui, C. H. K., He, H., & Tian, D. (2012). The relationship between internet addiction and depression among migrant children and left-behind children in China. Cyberpsychology Behavior and Social Networking, 15(11), 585–590. https://doi.org/10.1089/cyber.2012.0261.

    Article  PubMed  Google Scholar 

  • He, J., & Xiang, Y. (2022). Kinship and problem behavior of left-behind children from the perspective of cognitive behavior therapy. Current Psychology, 6643–6654. https://doi.org/10.1007/s12144-022-03438-8.

  • He, W., Jiang, N., & Jiang, H. (2022). Research on the quality improvement of rural compulsory education in the new era: The case of Chongqing city. Modern Primary and Secondary Education, 09, 1–8. https://doi.org/10.16165/j.cnki.22-1096/g4.2022.09.001.

    Article  CAS  Google Scholar 

  • Hu, M., Xu, L., Zhu, W., Zhang, T., Wang, Q., Ai, Z., & Zhao, X. (2022). The Influence of Childhood Trauma and Family Functioning on Internet Addiction in adolescents: A chain-mediated model analysis. International Journal of Environmental Research and Public Health, 19(20), https://doi.org/10.3390/ijerph192013639.

  • Hu, X., Chen, Y., Wang, Z., Huebner, E. S., & Ling, Y. (2023). A latent transition analysis of internet addiction in early adolescents and its contributing factors. The Journal of Early Adolescence, 43(5), 603–631. https://doi.org/10.1177/02724316221116045.

    Article  Google Scholar 

  • Hu, Z., & Xiang, Y. (2022). Who is the Chief Culprit, loneliness, or Smartphone Addiction? Evidence from Longitudinal Study and Weekly Diary Method. International Journal of Mental Health and Addiction, 1–16. https://doi.org/10.1007/s11469-022-00892-0.

  • Ihm, J. (2018). Social implications of children’s smartphone addiction: The role of support networks and social engagement. Journal of Behavioral Addictions, 7(2), 473–481. https://doi.org/10.1556/2006.7.2018.48.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jimeno, M. V., Ricarte, J. J., Toledano, A., Mangialavori, S., Cacioppo, M., & Ros, L. (2022). Role of attachment and family functioning in problematic smartphone use in young adults. Journal of Family Issues, 43(2), 375–391. https://doi.org/10.1177/0192513X21993881.

    Article  Google Scholar 

  • Kim, J. (2016). Computers in human behavior smartphone-mediated communication vs. face-to-face interaction : Two routes to social support and problematic use of smartphone. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.11.004.

    Article  Google Scholar 

  • Kong, F., Qin, J., Huang, B., Zhang, H., & Lei, L. (2020). The effect of social anxiety on mobile phone dependence among Chinese adolescents: A moderated mediation model. Children and Youth Services Review, 108, 104517. https://doi.org/10.1016/j.childyouth.2019.104517.

    Article  Google Scholar 

  • Kostenko, V. (2015). What Kind of Self-Awareness Follows Growth: Facets of Reflection at Different Levels of Ego Development. Higher School of Economics Research Paper No. WP BRP, 53.

  • Larson, R. W., Moneta, G., Richards, M. H., & Wilson, S. (2002). Continuity, stability, and change in daily emotional experience across adolescence. Child Development, 73(4), 1151–1165. https://doi.org/10.1111/1467-8624.00464.

    Article  PubMed  Google Scholar 

  • Laursen, B., Coy, K. C., & Collins, W. A. (1998). Reconsidering changes in parent-child conflict across adolescence: A meta‐analysis. Child Development, 69(3), 817–832. https://doi.org/10.1111/j.1467-8624.1998.tb06245.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Li, G. R., Sun, J., Ye, J. N., Hou, X. H., & Xiang, M. Q. (2023). Family functioning and mobile smartphone addiction in university students: Mediating effect of loneliness and moderating effect of capacity to be alone. Frontiers in Psychology, 14(February), 1–10. https://doi.org/10.3389/fpsyg.2023.1076852.

    Article  Google Scholar 

  • Li, X., & Fu, L. (2017). A study of the relationship between the relatives of the rural left-behind children in School Age: A Case Study of L town, Qiuxian, Hebei. Shandong University.

  • Lin, L., Wang, X., Li, Q., Xia, B., Chen, P., & Wang, W. (2021). The influence of interpersonal sensitivity on smartphone addiction: A Moderated Mediation Model. Frontiers in Psychology, 12, 670223. https://doi.org/10.3389/fpsyg.2021.670223.

    Article  PubMed  PubMed Central  Google Scholar 

  • Liu, P. L., & Leung, L. (2017). Migrant parenting and mobile phone use: Building quality relationships between Chinese migrant workers and their left-behind children. Applied Research in Quality of Life, 12, 925–946. https://doi.org/10.1007/s11482-016-9498-z

  • Liu, Q. Q., Yang, X. J., Hu, Y. T., & Zhang, C. Y. (2020). Peer victimization, self-compassion, gender and adolescent mobile smartphone addiction: Unique and interactive effects. Children and Youth Services Review, 118(May), 105397. https://doi.org/10.1016/j.childyouth.2020.105397.

    Article  Google Scholar 

  • Liu, Q. Q., Yang, X. J., Zhu, X. W., & Zhang, D. J. (2021). Attachment anxiety, loneliness, rumination and mobile phone dependence: A cross-sectional analysis of a moderated mediation model. Current Psychology, 40(10), 5134–5144. https://doi.org/10.1007/s12144-019-00464-x.

    Article  Google Scholar 

  • Liu, Y., & Zhao, Z. (2013). Effects of the Grand-parenting on Preschool Children’s emotion regulating strategies. Studies in Preschool Education, 02, 37–42. https://doi.org/10.13861/j.cnki.sece.2013.02.003.

    Article  CAS  Google Scholar 

  • Liu, Y., & Zheng, M. (2005). Study on the maternal support system of children aged 0 ~ 3 in rural areas. Northwest Normal University. https://doi.org/10.7666/d.y721963.

    Article  Google Scholar 

  • Lo, C. K. M., Ho, F. K., Emery, C., Chan, K. L., Wong, R. S., Tung, K. T. S., & Ip, P. (2021). Association of harsh parenting and maltreatment with internet addiction, and the mediating role of bullying and social support. Child Abuse and Neglect, 113(December 2020), 104928. https://doi.org/10.1016/j.chiabu.2021.104928.

  • Lynn, M. (1992). Scarcity’s enhancement of desirability: The role of naive economic theories. Basic and Applied Social Psychology, 13(1), 67–78. https://doi.org/10.1207/s15324834basp1301_6.

    Article  Google Scholar 

  • Ma, R., Meng, H., Yan, L., Chen, Y., Cao, H., Zhou, N., & Zhang, J. (2021). Cellphone-specific parenting practices and Chinese adolescents’ Cellphone Use and Addiction: A National Survey. Studies of Psychology and Behavior, 02, 265–272.

    Google Scholar 

  • Martins, M. V., Formiga, A., Santos, C., Sousa, D., Resende, C., Campos, R., Nogueira, N., Carvalho, P., & Ferreira, S. (2020). Adolescent internet addiction – role of parental control and adolescent behaviours. International Journal of Pediatrics and Adolescent Medicine, 7(3), 116–120. https://doi.org/10.1016/j.ijpam.2019.12.003.

    Article  PubMed  Google Scholar 

  • Minuchin, P. (1988). Relationships within the family: a systems perspective on development. See Hinde & Stevenson-Hinde 1988, pp. 7–26.

  • Niu, G., Chai, H., Li, Z., Wu, L., Sun, X., & Zhou, Z. (2020). Online parent-child communication and left-behind children’s subjective well-being: The effects of parent-child relationship and gratitude. Child Indicators Research, 13, 967-980. https://doi.org/10.1007/s12187-019-09657-z

  • Przybylski, A. K., & Weinstein, N. (2017). A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science, 28(2), 204–215.

    Article  PubMed  Google Scholar 

  • Qi, H., Kang, Q., & Bi, C. (2022). How does the parent–adolescent relationship affect adolescent internet addiction? Parents’ distinctive influences. Frontiers in Psychology, 13(June), 1–14. https://doi.org/10.3389/fpsyg.2022.886168.

    Article  Google Scholar 

  • Ren, C. (2014). The relationship between internet addiction and socially supported mental health among left-behind middle school students in Henan Province. Chinese Journal of School Health, 07, 1079–1081. https://doi.org/10.16835/j.cnki.1000-9817.2014.07.045.

    Article  Google Scholar 

  • Rothon, C., Goodwin, L., & Stansfeld, S. (2012). Family social support, community social capital and adolescents’ mental health and educational outcomes: A longitudinal study in England. Social Psychiatry and Psychiatric Epidemiology, 47(5), 697–709. https://doi.org/10.1007/s00127-011-0391-7.

    Article  PubMed  Google Scholar 

  • Rubin, A. M. (1983). Television uses and gratifications: The interactions of viewing patterns and motivations. Journal of Broadcasting & Electronic Media, 27(1), 37–51. https://doi.org/10.1080/08838158309386471.

    Article  Google Scholar 

  • Rubin, A. M. (2009). Uses-and-gratifications perspective on media effects. Media effects (pp. 181–200). Routledge.

  • Shanahan, L., McHale, S. M., Crouter, A. C., & Osgood, D. W. (2007). Warmth with mothers and fathers from middle childhood to late adolescence: Within- and between-families comparisons. Developmental Psychology, 43(3), 551–563. https://doi.org/10.1037/0012-1649.43.3.551.

    Article  PubMed  Google Scholar 

  • Small, S. A., Eastman, G., & Cornelius, S. (1988). Adolescent autonomy and parental stress. Journal of Youth and Adolescence, 17, 377–391.

    Article  CAS  PubMed  Google Scholar 

  • Smokowski, P. R., Bacallao, M. L., Cotter, K. L., & Evans, C. B. R. (2014). The effects of positive and Negative Parenting Practices on Adolescent Mental Health Outcomes in a multicultural sample of Rural Youth. Child Psychiatry and Human Development, 46(3), 333–345. https://doi.org/10.1007/s10578-014-0474-2.

    Article  Google Scholar 

  • Stewart, T., & Suldo, S. (2011). Relationships between social support sources and early adolescents’ mental health: The moderating effect of student achievement level. Psychology in the Schools, 48(10), 1016–1033. https://doi.org/10.1002/pits.20607.

    Article  Google Scholar 

  • Sun, R., Gao, Q., Xiang, Y., Chen, T., Liu, T., & Chen, Q. (2020). Parent–child relationships and mobile smartphone addiction tendency among Chinese adolescents: The mediating role of psychological needs satisfaction and the moderating role of peer relationships. Children and Youth Services Review, 116, 105113. https://doi.org/10.1016/j.childyouth.2020.105113.

    Article  Google Scholar 

  • Van Schoors, M., Caes, L., Knoble, N. B., Goubert, L., Verhofstadt, L. L., & Alderfer, M. A. (2017). Systematic review: Associations between family functioning and child adjustment after pediatric cancer diagnosis: A meta-analysis. Journal of Pediatric Psychology, 42(1), 6–18. https://doi.org/10.1093/jpepsy/jsw070.

    Article  PubMed  Google Scholar 

  • Varga, S. M., & Zaff, J. F. (2018). Webs of support: An integrative Framework of relationships, Social Networks, and Social Support for positive Youth Development Webs of support : An integrative Framework of relationships, Social Networks, and Social Support for positive youth develop. Adolescent Research Review, 0(0), 0. https://doi.org/10.1007/s40894-017-0076-x.

    Article  Google Scholar 

  • Vivas, P., Torres, A., Herrero, J., & Urueña, A. (2019). Smartphone addiction and social support: A three-year longitudinal study. Psychosocial Intervention, 28(3), 111–118. https://doi.org/10.5093/pi2019a6.

    Article  Google Scholar 

  • Walsh, F. (2002). A family resilience framework: Innovative practice applications. Family Relations, 51(2), 130–137. https://doi.org/10.1111/j.1741-3729.2002.00130.x.

    Article  Google Scholar 

  • Walsh, F. (2003). Family resilience: A framework for clinical practice. Family Process, 42(1), 1–18. https://doi.org/10.1111/j.1545-5300.2003.00001.x.

    Article  PubMed  Google Scholar 

  • Wang, L. (2007). Investigation on the Mental Health of preschoolers reared by their grandparents. Chinese Mental Health Journal, (10),672–674.

  • Wang, Q., Xiao, T., Liu, H., & Hu, W. (2019). The relationship between parental rejection and internet addiction in left-behind children: A Moderated Mediation Model. Psychological Development and Education, 06, 749–758. https://doi.org/10.16187/j.cnki.issn1001-4918.2019.06.12.

    Article  Google Scholar 

  • Wang, W., Li, D., Li, X., Wang, Y., Sun, W., Zhao, L., & Qiu, L. (2018). Parent-adolescent relationship and adolescent internet addiction: A moderated mediation model. Addictive Behaviors, 84, 171–177. https://doi.org/10.1016/j.addbeh.2018.04.015.

    Article  PubMed  Google Scholar 

  • Wang, Y. (2006). The changing family structure in Contemporary China: An analysis. Social Sciences in China, 01, 96–108.

    Google Scholar 

  • Wang, Y., Wen, Z., Li, W., & Fang, J. (2022). Methodological research and model development on structural equation models in China’s mainland from 2001 to 2020. Advances in Psychological Science, 08, 1715–1733.

    Article  Google Scholar 

  • Wen, M., Teng, S., & Li, L. (2021). The effect of children’s grandparent-grandson attachment on Problem Behavior under the model of grandparents co-parenting: The mediating role of emotion regulation. Journal of Northeast Normal University (Philosophy and Social Sciences), 04, 84–91. https://doi.org/10.16164/j.cnki.22-1062/c.2021.04.011.

    Article  Google Scholar 

  • Wight, R. G., Botticello, A. L., & Aneshensel, C. S. (2006). Socioeconomic context, social support, and adolescent mental health: A multilevel investigation. Journal of Youth and Adolescence, 35(1), 115–126. https://doi.org/10.1007/s10964-005-9009-2.

    Article  Google Scholar 

  • Wu, L. M. (2010). Structural equation modeling: Operations and applications of AMOS. Chongqing University Press.

  • Wu, N. (2004). A Survey Report on the education of Hometown-remaining children in rural areas. Educational Research, 10, 15–18. https://doi.org/CNKI:SUN:JYYJ.

    Google Scholar 

  • Xu, J., Shen, L., Yan, C., huai, Hu, H., Yang, F., Wang, L., Kotha, S. R., Ouyang, F., Zhang, L., na, Liao, X., peng, Zhang, J., Zhang, J., & Shen, X. (2014). ming. Parent-adolescent interaction and risk of adolescent internet addiction: A population-based study in Shanghai. BMC Psychiatry, 14(1). https://doi.org/10.1186/1471-244X-14-112.

  • Yang, W. (2020). On Evolution Route and Policy Pedigree of the Relationship between Urban and Rural Compulsory Education in New China. Journal of Sichuan Normal University (Social Sciences Edition), 04, 94–101. https://doi.org/10.13734/j.cnki.1000-5315.2020.04.013.

    Article  Google Scholar 

  • Yang, W. (2021). What is the solution to the dilemma in the resonance of digitalization and aging. Guangming Daily, p. 2.

  • Yang, X., Zhou, Z., Liu, Q., & Fan, C. (2019). Mobile Smartphone addiction and adolescents’ anxiety and depression: The moderating role of Mindfulness. Journal of Child and Family Studies, 28(3), 822–830. https://doi.org/10.1007/s10826-018-01323-2.

    Article  Google Scholar 

  • You, S., Lee, J., & Lee, Y. (2022). Relationships between gratitude, social support, and prosocial and problem behaviors. Current Psychology, 41(5), 2646–2653. https://doi.org/10.1007/s12144-020-00775-4.

    Article  Google Scholar 

  • Yu, B. L., Li, J., Liu, W., Huang, S. H., & Cao, X. J. (2022). The effect of left-behind experience and self-esteem on aggressive behavior in young adults in China: A cross-sectional study. Journal of Interpersonal Violence, 37(3–4), 1049–1075. https://doi.org/10.1177/0886260520922373.

    Article  PubMed  Google Scholar 

  • Zhang, Y., & Jia, Y. (2021). Research on group work of rural left behind children’s intergenerational education: Taking S village in Kongtong District of Pingliang City as an example. Northwest Normal University.

  • Zhang, Y., Jiang, X., & Xiang, Y. (2023). The development trajectory of depression in left-behind children and the specific effect of different kinships on it: A longitudinal study. Current Psychology, 1–12. https://doi.org/10.1007/s12144-023-04378-7.

  • Zhang, S., & Tang, G. (2022). A study on social work intervention in intergenerational family education of rural left-behind children. Heilongjiang University.

  • Zhang, M., & Xiang, Y. (2022). Influence of benign/malicious envy on mobile phone addiction: mediating role of loneliness and self-control. International Journal of Mental Health and Addiction, 1–14. https://doi.org/10.1007/s11469-022-00845-7

  • Zhao, J., Ge, J., & Li, Q. (2022). Grandparent-child cohesion, friendship quality, and left-behind children’s positive/negative affect in rural China. Journal of Health Psychology, 27(11), 2489–2504. https://doi.org/10.1177/13591053211049941.

    Article  PubMed  Google Scholar 

  • Zhen, R., Li, L., Ding, Y., Hong, W., & Liu, R. (2020b). How does mobile phone dependency impair academic engagement among Chinese left-behind children? Children and Youth Services Review, 116. https://doi.org/10.1016/j.childyouth.2020.105169.

  • Zhen, R., Li, L., Liu, X., & Zhou, X. (2020a). Negative life events, depression, and mobile phone dependency among left-behind adolescents in rural China: An interpersonal perspective. Children and Youth Services Review, 109. https://doi.org/10.1016/j.childyouth.2019.104688.

  • Zhou, H., & Long, L. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942.

    Google Scholar 

  • Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52(1), 30–41. https://doi.org/10.1207/s15327752jpa5201_2.

    Article  Google Scholar 

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Acknowledgements

We thank Hunan province college students research learning and innovative experiment project (S202310542112) for inspiring and helping with this work. Thanks to Jiali He for her extremely important and valuable help in methodology, investigation, data curation and analysis. Thanks again to the cooperation of the research participants and the great help of all the members of the research group. Correspondence concerning this article should be emailed to xiangyh@hunnu.edu.cn.

Funding

This work was supported by the General Program of the National Social Science Fund of China (23BSH144). The funding source had no influence on the study design, the collection, analysis, and interpretation of data, the writing of the report, or the decision to submit the manuscript for publication.

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J.S.: Formal analysis, Writing - Original Draft, Review & Editing, Visualization. L.M.: Formal analysis, Validation, Data Curation, Writing - Review & Editing. Y.X.: Conceptualization, Investigation, Writing - Review & Editing, Supervision. All authors read and approved this version to be submitted for pubilication.

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Correspondence to Yanhui Xiang.

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The present study was approved by the Academic Committee of the Department of Psychology of Hunan Normal University. All participants provided informed consents before completing the questionnaires, and were paid after completing the whole questionnaires.

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Shan, J., Ma, L. & Xiang, Y. Kinship Support Differentially Predicts Problematic Smartphone Use in Left-behind Children Compared to Non-left-behind Children: A Longitudinal Study. Int J Ment Health Addiction (2023). https://doi.org/10.1007/s11469-023-01180-1

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