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Parents’ phubbing and problematic mobile phone use: the roles of the parent-child relationship and children’s self-esteem
Abstract
An increasing number of mobile phone users check their phones at any time and place, even during in-person interactions. Such behaviors that interrupt social interactions have been described as phubbing. The present study focused on phubbing behaviors within the context of parent-child households and aimed to examine the associations among parents' phubbing, the parent-child relationship, children's self-esteem, and problematic mobile phone use (PMPU) by adolescents. The structural equation model results based on the data collected from 1,721 secondary students revealed that parents' phubbing was not only directly associated with children's PMPU but also indirectly associated with PMPU through the mediating roles of the parent-child relationship and children's self-esteem after gender and age were controlled. These findings suggest a possible underlying mechanism for the relationship between parents' phubbing and children's PMPU, and could thus inform interventions to prevent or decrease PMPU among adolescents. Limitations and implications are discussed.
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“estudios empíricos han ilustrado que el phubbing de los padres puede disminuir la autoestima de sus hijos (Hong et al., 2019).”
From Phubbing y redes sociales: Análisis de una muestra de universitarios del Perú: El phubbing (2025) · cites this paper as Hong et al., 2019
In the citing paper
“Research in this area has suggested that phubbing can negatively impact others across interactions between friends [45], romantic partners [46,47], and parents and children [48,49,50].”
From The effects of smartphones on well-being: theoretical integration and research agenda (2020) · cites this paper as [49]
Citations
Cites
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
Aggression: A Social Learning Analysis
Bandura, A. (1973) · Stanford Law Review · doi:10.2307/1227918 · Cited by 4,302
(2005) · Medical Entomology and Zoology · Cited by 3,609
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010
Attachment and loss: Retrospect and prospect.
Bowlby, J. (1982) · American Journal of Orthopsychiatry · doi:10.1111/j.1939-0025.1982.tb01456.x · Cited by 2,930
Self-esteem as an interpersonal monitor: The sociometer hypothesis
Leary, M. R., Tambor, E. S., Terdal, S. K., & Downs, D. L. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.3.518 · Cited by 2,519
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689 · cited 3×
“39 The chronic use of mobile phones as a compensatory source of low self-esteem may be frequently reinforced and automatically activated, increasing the potential risks for problematic use.”
Psychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514
Bingwu, Q. (2024) · Springer eBooks · doi:10.1007/978-981-99-6000-2_884-1 · Cited by 1,417
Roberts, J. A., & David, M. E. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.058 · Cited by 999
How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone
Chotpitayasunondh, V., & Douglas, K. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.018 · Cited by 954
Valkenburg, P. M., & Peter, J. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00368.x · Cited by 776 · cited 2×
“3,16,17 The same may occur in family settings: When phubbing parents engage in online issues that occupy time and attention resources, there is less time and fewer resources for offline high-quality parent–child relationships.”
Przybylski, A. K., & Weinstein, N. (2013) · Journal of Social and Personal Relationships · doi:10.1177/0265407512453827 · Cited by 751
Advances in Psychological Science
Bingwu, Q. (2024) · Springer eBooks · doi:10.1007/978-981-99-6000-2_886-1 · Cited by 664
Hong, F.-Y., Chiu, S.-I., & Huang, D.-H. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.020 · Cited by 568
Personality and self-esteem as predictors of young people's technology use
Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0030 · Cited by 488
Patterns of mobile device use by caregivers and children during meals in fast food restaurants
Radesky, J. S., Kistin, C. J., Zuckerman, B., Nitzberg, K., Gross, J., Kaplan-Sanoff, M., Augustyn, M., & Silverstein, M. (2014) · Pediatrics · doi:10.1542/peds.2013-3703 · Cited by 468
Misra (2016) · doi:10.1177/0013916514539755 · Cited by 430
Ko, C., Yen, J., Yen, C., Lin, H., & Yang, M. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9992 · Cited by 408
Impact of parents mobile device use on parent-child interaction: A literature review
Kildare, C. A., & Middlemiss, W. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.003 · Cited by 386
The Role of Parental and Peer Attachment in the Psychological Health and Self-Esteem of Adolescents
Wilkinson, R. B. (2004) · Journal of Youth and Adolescence · doi:10.1023/b:joyo.0000048063.59425.20 · Cited by 334
Towards a Sociological Theory of the Mobile Phone
Geser, H. (2004) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · Cited by 300
Wang, X., Xie, X., Wang, Y., Wang, P., & Lei, L. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.01.014 · Cited by 276
Roberts, J. A., & David, M. E. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.021 · Cited by 205
Kim, J., & Cicchetti, D. (2004) · Research on Child and Adolescent Psychopathology · doi:10.1023/b:jacp.0000030289.17006.5a · Cited by 198
Kim, J.-H. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.004 · Cited by 196
Overlapping addictions and self-esteem among college men and women
Greenberg, J. L., Lewis, S. E., & Dodd, D. K. (1999) · Addictive Behaviors · doi:10.1016/s0306-4603(98)00080-x · Cited by 193
Coyne, S. M., Padilla‐Walker, L. M., Fraser, A. M., Fellows, K. J., & Day, R. D. (2014) · Journal of Adolescent Research · doi:10.1177/0743558414538316 · Cited by 185
Shi, X., Wang, J., & Zou, H. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.028 · Cited by 185
Effect of parental neglect on smartphone addiction in adolescents in South Korea
Kwak, J. Y., Kim, J. Y., & Yoon, Y. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2017.12.008 · Cited by 167
Family Digital Literacy Practices and Children’s Mobile Phone Use
Terras, M. M., & Ramsay, J. E. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01957 · Cited by 164
Time for Digital Detox: Misuse of Mobile Technology and Phubbing
Uğur, N. G., & Koç, T. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.06.491 · Cited by 163
Sun, J., Liu, Q., & Yu, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.032 · Cited by 161
Liu, Q., Fang, X., Deng, L., & Zhang, J. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.02.010 · Cited by 159
Shen, C.-X., Liu, R.-D., & Wang, D. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.08.004 · Cited by 148
Self-citationHefner, D., Knop, K., Schmitt, S., & Vorderer, P. (2018) · Media Psychology · doi:10.1080/15213269.2018.1433544 · Cited by 135
Parent-adolescent relationship and adolescent internet addiction: A moderated mediation model
Wang, W., Li, D., Li, X., Wang, Y., Sun, W., Zhao, L., & Qiu, L. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.04.015 · Cited by 124
Predictors of the initiation and persistence of Internet addiction among adolescents in Taiwan
Chang, F., Chiu, C., Lee, C., Chen, P., & Miao, N. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.05.010 · Cited by 115
Hong, W., Liu, R.-D., Oei, T.-P., Zhen, R., Jiang, S., & Sheng, X. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.020 · Cited by 107
Self-citationLee, E. J., & Bukowski, W. M. (2011) · Journal of Adolescence · doi:10.1016/j.adolescence.2011.10.008 · Cited by 98
Zhen, R., Liu, R.-D., Hong, W., & Zhou, X. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16132286 · Cited by 82
Self-citationAllred, R., & Crowley, J. P. (2016) · Communication Studies · doi:10.1080/10510974.2016.1241292 · Cited by 37
Flagged first, then by citations
Research works printed but not linked: 7
- Ding Q, 2018, Chinese Journal of Clinical Psychology, 26, 952
- Hirschi T, 1969, Causes of delinquency
- Park SK, 2008, Adolescence, 43, 895
- Lian TC, 2009, European Journal of Social Sciences, 9, 643
- Wang M, 2007, Journal of Psychological Science, 30, 1196
- Yang Y, 2007, Chinese Mental Health Journal, 21, 603
- Liu H, 2019, Advanced statistics for psychology [in Chinese]
Cited by
Sorted by citations
Niu, G., Yao, L., Wu, L., Tian, Y., Xu, L., & Sun, X. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105247 · Cited by 198
Mallawaarachchi, S., Burley, J., Mavilidi, M., Howard, S. J., Straker, L., Kervin, L., Staton, S., Hayes, N., Machell, A., Torjinski, M., et al. (2024) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2024.2620 · Cited by 142
A descriptive literature review of phubbing behaviors
Garrido, E. C., Issa, T., Esteban, P. G., & Delgado, S. C. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07037 · Cited by 192
The effects of smartphones on well-being: theoretical integration and research agenda
Kushlev, K., & Leitao, M. R. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.05.001 · Cited by 129
Why parental phubbing is at risk for adolescent mobile phone addiction: A serial mediating model
Zhang, Y., Ding, Q., & Wang, Z. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105873 · Cited by 122
Metadata
- Authors
- Hong, W., Liu, R.-D., Ding, Y., Oei, T. P., Zhen, R., & Jiang, S.
- Affiliations
- Beijing Normal University (CN)
- Fordham University (US)
- The University of Queensland (AU)
- Hangzhou Normal University (CN)
- Corresponding author
- Liu, Ru-De
- Venue
- Cyberpsychology Behavior and Social Networking
- Publisher
- SAGE Publications
- Published
- 2019-12-01
- Volume
- 22
- Issue
- 12
- Pages
- 779-786
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W2990299942
- Cited by
- 159
- References
- 42
- Citations by year
- 2026: 21 · 2025: 32 · 2024: 30 · 2023: 29 · 2022: 23 · 2021: 15 · 2020: 9
- FWCI
- 23.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cyberpsychology Behavior and Social Networking (publishedVersion)
- PubMed (publishedVersion)
- ResearchOnline at James Cook University (James Cook University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- phubbing, problematic mobile phone use, parent-child relationship, children's self-esteem, adolescents, parental smartphone use, social media use, mediation, high school students
- MeSH terms
- Cell Phone Use, Latent Class Analysis, Adolescent, Adult, Child, Family Characteristics, Female, Humans, Interpersonal Relations, Male, Parent-Child Relations, Parents, Self Concept, Students
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