Al-Saggaf, Y., & O’Donnell, S. B. (2019). Phubbing: Perceptions, reasons behind, predictors, and impacts. Human Behavior and Emerging Technologies, 1(2), 132–140. https://doi.org/10.1002/hbe2.137.

Article  Google Scholar 

Bai, Q., Lei, L., Hsueh, F. H., Yu, X., Hu, H., Wang, X., & Wang, P. (2020). Parent-adolescent congruence in phubbing and adolescents’ depressive symptoms: A moderated polynomial regression with response surface analyses. Journal of Affective Disorders, 275, 127–135. https://doi.org/10.1016/j.jad.2020.03.156.

Article  PubMed  Google Scholar 

Burgoon,J., K (1993). Interpersonal expectations, expectancy violations, and Emotional Communication. Journal of Language & Social Psychology, 12(1–2), 30–48. https://doi.org/10.1177/0261927X93121003.

Article  Google Scholar 

Card, N. A. (2012). Applied meta-analysis for social science research. Guilford Press.

Chen, X., DeSouza, A. T., Chen, H., & Wang, L. (2006). Reticent behavior and experiences in peer interactions in Chinese and Canadian children. Developmental Psychology, 42(4), 656–665. https://doi.org/10.1037/0012-1649.42.4.656.

Article  PubMed  Google Scholar 

Chotpitayasunondh, V., & Douglas, K. M. (2018). Measuring phone snubbing behavior: Development and validation of the generic scale of Phubbing (GSP) and the generic scale of being phubbed (GSBP). Computers in Human Behavior, 88, 5–17. https://doi.org/10.1016/j.chb.2018.06.020.

Article  Google Scholar 

David, M. E., & Roberts, J. A. (2017). Phubbed and alone: Phone snubbing, Social Exclusion, and attachment to Social Media. Journal of the Association for Consumer Research, 2(2), 155–163. https://doi.org/10.1086/690940.

Article  Google Scholar 

Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2), 455–463. https://doi.org/10.1111/j.0006-341X.2000.00455.x.

Article  PubMed  Google Scholar 

Egger, M., & Smith, G. D. (1998). Meta-analysis: Bias in location and selection of studies. BMJ Clinical Research, 316(7124), 61–66. https://doi.org/10.1136/bmj.316.7124.61.

Article  Google Scholar 

Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74–78. https://doi.org/10.1016/j.paid.2016.06.069.

Article  Google Scholar 

Gong, Y., Chen, Z., Xie, J., & Xie, X. (2022). Phubbing: Antecedents, consequences and functioning mechanisms. Advances in Psychological Science, 27(7), 1258–1267. https://doi.org/10.3724/sp.J.1042.2019.01258.

Article  Google Scholar 

Hales, A. H., Dvir, M., Wesselmann, E. D., Kruger, D. J., & Finkenauer, C. (2018). Cell phone-induced ostracism threatens fundamental needs. Journal of Social Psychology, 158(4), 460–473. https://doi.org/10.1080/00224545.2018.1439877.

Han, J. (2022). The influence of parent-child technological interference on adolescent depression: the mediating role of dysfunctional attitudes and the moderating role of parents’ emotional warmth [Unpublished master dissertation, Shenyang Normal University].

Hankin, B. L. (2006). Adolescent depression: Description, causes, and interventions. Epilepsy & Behavior, 8(1), 102–114. https://doi.org/10.1016/j.yebeh.2005.10.012.

Article  Google Scholar 

Hankin, B. L., Young, J. F., Gallop, R., & Garber, J. (2018). Cognitive and interpersonal vulnerabilities to adolescent depression: Classification of risk profiles for a Personalized Prevention Approach. Journal of Abnormal Child Psychology, 46(7), 1521–1533. https://doi.org/10.1007/s10802-018-0401-2.

Article  PubMed  PubMed Central  Google Scholar 

Hiniker, A., Sobel, K., Suh, H., Sung, Y. C., Lee, C. P., & Kientz, J. A. (2015). Texting while Parenting: How Adults Use Mobile Phones While Caring for Children at the Playground. Proceedings of CHI 2015; Seoul South Korea. https://doi.org/10.1145/2702123.2702199.

Hiniker, A., Schoenebeck, S. Y., & Kientz, J. A. (2016). Not at the dinner table: Parents- and Children-s perspectives on Family Technology rules. CSCW’16, ACM, 1376–1389. https://doi.org/10.1145/2818048.2819940.

Article  Google Scholar 

Hoeve, M., Dubas, J. S., Eichelsheim, V. I., van der Laan, P. H., Smeenk, W., & Gerris, J. R. M. (2009). The relationship between parenting and delinquency: A Meta-analysis. Journal of Abnormal Child Psychology, 37(6), 749–775. https://doi.org/10.1007/s10802-009-9310-8.

Article  PubMed  PubMed Central  Google Scholar 

Jiang, Q., Wang, X., Liu, B., & Wang, P. (2021). The impact of parental phubbing on the Psychological Development of children and adolescents. Psychological Development and Education, 37(1), 137–145. https://doi.org/10.16187/j.cnki.issn1001-4918.2021.01.17.

Article  Google Scholar 

Johnson, D., Dupuis, G., Piche, J., Clayborne, Z., & Colman, I. (2018). Adult mental health outcomes of adolescent depression: A systematic review. Depression and Anxiety, 35(8), 700–716. https://doi.org/10.1002/da.22777.

Article  PubMed  Google Scholar 

Lemish, D., Elias, N., & Floegel, D. (2020). Look at me! Parental use of mobile phones at the playground. Mobile Media & Communication, 8(2), 170–187. https://doi.org/10.1177/2050157919846916.

Article  Google Scholar 

Li, B., Wang, P., Xie, X., Chen, Y., Wang, W., Liu, C., Zhao, M., Zhu, M., & Mao, N. (2022). Father Phubbing and adolescents’ depressive symptoms: Perceived Father Acceptance as a Mediator and Resilience as a moderator. Journal of Psychology, 156(5), 349–366. https://doi.org/10.1080/00223980.2022.2044745.

Article  PubMed  Google Scholar 

Liu, K., Chen, W., Wang, H., Geng, J., & Lei, L. (2021). Parental phubbing linking to adolescent life satisfaction: The mediating role of relationship satisfaction and the moderating role of attachment styles. Child Care Health and Development, 47(2), 281–289. https://doi.org/10.1111/cch.12839.

Article  PubMed  Google Scholar 

Malhi, G. S., & Mann, J. J. (2018). Depression Lancet, 392(10161), 2299–2312. https://doi.org/10.1016/s0140-6736(18)31948-2.

Article  PubMed  Google Scholar 

McDaniel, B. (2015). Technoference: Everyday Intrusions and Interruptions of Technology in Couple and Family Relationships. In.

McDaniel, B. T. (2019). Parent distraction with phones, reasons for use, and impacts on parenting and child outcomes: A review of the emerging research. Human Behavior and Emerging Technologies, 1(2), 72–80. https://doi.org/10.1002/hbe2.139.

Article  Google Scholar 

McDaniel, B. T., & Coyne, S. M. (2016a). Technoference’: The interference of technology in couple relationships and implications for women’s personal and relational well-being. Psychology of Popular Media Culture, 5(1), 85–98. https://doi.org/10.1037/ppm0000065.

Article  Google Scholar 

McDaniel, B. T., & Coyne, S. M. (2016b). Technology interference in the parenting of young children: Implications for mothers’ perceptions of coparenting. Social Science Journal, 53(4), 435–443. https://doi.org/10.1016/j.soscij.2016.04.010.

Article  Google Scholar 

McDaniel, B. T., & Radesky, J. S. (2018). Technoference: Parent distraction with Technology and associations with child behavior problems. Child Development, 89(1), 100–109. https://doi.org/10.1111/cdev.12822.

Article  PubMed  Google Scholar 

Miller-Ott, Aimee, K., & Lynne (2015). The Presence of Cell Phones in romantic Partner Face-to-face interactions: An expectancy violation theory Approach. Southern Communication Journal, 80(4), 1–18. https://doi.org/10.1080/1041794X.2015.1055371.

Article  Google Scholar 

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097.

Article  PubMed  PubMed Central  Google Scholar 

Moola, S., Tufanaru, M. Z., Aromataris, C., Sears, E., Sfetcu, K., Currie, R., Qureshi, M., Mattis, R., Lisy, P., & Mu, K. P-F (2020). Chapter 7: Systematic reviews of etiology and risk. JBI Manual for Evidence Synthesis. https://synthesismanual.jbi.global.

Nolan, S. A., Flynn, C., & Garber, J. (2003). Prospective relations between rejection and depression in young adolescents. Journal of Personality and Social Psychology, 85(4), 745–755. https://doi.org/10.1037/0022-3514.85.4.745.

Article  PubMed  Google Scholar 

Ohannessian, C. M. (2012). Parental problem drinking and adolescent Psychosocial Adjustment: The mediating role of adolescent-parent communication. Journal of Research on Adolescence, 22(3), 498–511. https://doi.org/10.1111/j.1532-7795.2012.00791.x.

Article  Google Scholar 

Pozuelo, J. R., Desborough, L., Stein, A., & Cipriani, A. (2022). Systematic review and Meta-analysis: Depressive symptoms and risky behaviors among adolescents in low- and Middle-Income Countries. Journal of the American Academy of Child and Adolescent Psychiatry, 61(2), 255–276. https://doi.org/10.1016/j.jaac.2021.05.005.

Article  PubMed  Google Scholar 

Sbarra, D. A., Briskin, J. L., & Slatcher, R. B. (2019). Smartphones and Close relationships: The case for an evolutionary mismatch. Perspect Psychol Sci, 14(4), 596–618. https://doi.org/10.1177/1745691619826535.

Article  PubMed  Google Scholar 

Somefun, O., Theron, L., & Ungar, M. (2023). The association between family adversity and youth mental health outcomes. Journal of Adolescence, 95(7), 1333–1347. https://doi.org/10.1002/jad.12205.

Article  PubMed  Google Scholar 

Song, H., Zmyslinski-Seelig, A., Kim, J., Drent, A., Victor, A., Omori, K., & Allen, M. (2014). Does Facebook make you lonely? A meta analysis. Computers in Human Behavior, 36, 446–452. https://doi.org/10.1016/j.chb.2014.04.011.

Article  Google Scholar 

Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European Journal of Epidemiology, 25(9), 603–605. https://doi.org/10.1007/s10654-010-9491-z.