The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
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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In the citing paper
“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
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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