IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v156y2024ics0190740923004267.html
   My bibliography  Save this article

Family factors and offline/online risk behaviors among South Korean adolescents: A multidimensional approach using latent profile analysis

Author

Listed:
  • Han, Yoonsun
  • Kim, Seonyeong
  • Lee, Taekho
  • Kim, Suna

Abstract

The family is a crucial ecological system that shapes adolescent risk behaviors in many ways. However, existing studies have mostly focused on how selective family variables are linked to adolescent’s engagement in risky behavior rather than considering a comprehensive set of family domains. Although new forms of risky behaviors via technical devices are prevalent among adolescents, the relationship between online risk behaviors and family factors has not been fully investigated. In response to these research gaps, the current study aimed to (1) investigate the latent profiles of family characteristics as represented by four domains (parent–adolescent relationship, socioeconomic and demographic characteristics, parental psychological well-being, and family smartphone use); and (2) examine features of latent family profiles most associated with adolescent offline and online risk behaviors. Data were drawn from the second wave of the Korean Children and Youth Panel Survey (KCYPS) (N = 2,197), which is nationally representative of South Korean middle school students. A total of eighteen family indicators were used in the latent profile analysis. Five heterogeneous subgroups of unique family experiences emerged: low perceived socioeconomic status (SES), poor family environment, high-quality and low-quantity parenting, high perceived SES, and positive parent–youth relationship. Results from logistic regression suggested that the poor family environment group had the highest risk of engaging in both types of risk behaviors. The findings lend support for adapting a comprehensive approach in addressing various dimensions of family needs and provide insight for future intervention programs and services.

Suggested Citation

  • Han, Yoonsun & Kim, Seonyeong & Lee, Taekho & Kim, Suna, 2024. "Family factors and offline/online risk behaviors among South Korean adolescents: A multidimensional approach using latent profile analysis," Children and Youth Services Review, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:cysrev:v:156:y:2024:i:c:s0190740923004267
    DOI: 10.1016/j.childyouth.2023.107230
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740923004267
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2023.107230?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Park, Sora & Na, Eun-Yeong & Kim, Eun-mee, 2014. "The relationship between online activities, netiquette and cyberbullying," Children and Youth Services Review, Elsevier, vol. 42(C), pages 74-81.
    2. Kierkus, Christopher A. & Hewitt, John D., 2009. "The contextual nature of the family structure/delinquency relationship," Journal of Criminal Justice, Elsevier, vol. 37(2), pages 123-132, March.
    3. Daniel T. L. Shek & Li Lin, 2016. "What Predicts Adolescent Delinquent Behavior in Hong Kong? A Longitudinal Study of Personal and Family Factors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1291-1318, December.
    4. Kate Levin & Lorenza Dallago & Candace Currie, 2012. "The Association Between Adolescent Life Satisfaction, Family Structure, Family Affluence and Gender Differences in Parent–Child Communication," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(2), pages 287-305, April.
    5. Mohammad, Taufik & Nooraini, Intan, 2021. "Routine activity theory and juvenile delinquency: The roles of peers and family monitoring among Malaysian adolescents," Children and Youth Services Review, Elsevier, vol. 121(C).
    6. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    7. Afshin Zilanawala & Laia Bécares & Aprile Benner, 2019. "Race/ethnic inequalities in early adolescent development in the United Kingdom and United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(6), pages 121-154.
    8. Kyung Im Kang & Kyonghwa Kang & Chanhee Kim, 2021. "Risk Factors Influencing Cyberbullying Perpetration among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Palma, Marco A. & Ness, Meghan L. & Anderson, David P., 2015. "Buying More than Taste? A Latent Class Analysis of Health and Prestige Determinants of Healthy Food," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202566, Australian Agricultural and Resource Economics Society.
    2. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    3. Pamela Tozzo & Oriana Cuman & Eleonora Moratto & Luciana Caenazzo, 2022. "Family and Educational Strategies for Cyberbullying Prevention: A Systematic Review," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    4. Víctor González-Calatayud & María Paz Prendes Espinosa, 2021. "Role-Based Cyberbullying Situations: Cybervictims, Cyberaggressors and Cyberbystanders," IJERPH, MDPI, vol. 18(16), pages 1-9, August.
    5. Peña, Guillermo & Puente-Ajovín, Miguel & Ramos, Arturo & Sanz-Gracia, Fernando, 2022. "Log-growth rates of CO2: An empirical analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    6. Xiaoqin Zhu & Daniel T. L. Shek, 2020. "The Influence of Adolescent Problem Behaviors on Life Satisfaction: Parent–Child Subsystem Qualities as Mediators," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(5), pages 1767-1789, October.
    7. Saleem, Sumera & Khan, Naurin Farooq & Zafar, Saad, 2021. "Prevalence of cyberbullying victimization among Pakistani Youth," Technology in Society, Elsevier, vol. 65(C).
    8. Rui Zhang & Lin-Xin Wang & Jesus Alfonso D. Datu & Yue Liang & Kai Dou & Yan-Gang Nie & Jian-Bin Li, 2023. "High Qualities of Relationships with Parents and Teachers Contribute to the Development of Adolescent Life Satisfaction Through Resilience: A Three-Wave Prospective Longitudinal Study," Journal of Happiness Studies, Springer, vol. 24(4), pages 1339-1365, April.
    9. Guangchao Feng, 2014. "Estimating intercoder reliability: a structural equation modeling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2355-2369, July.
    10. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    11. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
    12. Michelle F. Wright & Ikuko Aoyama & Shanmukh V. Kamble & Zheng Li & Shruti Soudi & Li Lei & Chang Shu, 2015. "Peer Attachment and Cyber Aggression Involvement among Chinese, Indian, and Japanese Adolescents," Societies, MDPI, vol. 5(2), pages 1-15, April.
    13. William Magee & Sébastien St-Arnaud, 2012. "Models of the Joint Structure of Domain-Related and Global Distress: Implications for the Reconciliation of Quality of Life and Mental Health Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 161-185, January.
    14. repec:jss:jstsof:06:i02 is not listed on IDEAS
    15. E-L. Nilsson, 2017. "Analyzing Gender Differences in the Relationship between Family Influences and Adolescent Offending among Boys and Girls," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(4), pages 1079-1094, December.
    16. Meijie Chu & Zhiwei Fang & Chun-Yang Lee & Yi-Han Hu & Xian Li & Shih-Han Chen & Tianmu Chen & Xuehui Chen & Yi-Chen Chiang, 2023. "Collaboration between School and Home to Improve Subjective Well-being: A New Chinese Children’s Subjective Well-being Scale," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1527-1552, August.
    17. Aizenkot, Dana, 2020. "Social networking and online self-disclosure as predictors of cyberbullying victimization among children and youth," Children and Youth Services Review, Elsevier, vol. 119(C).
    18. German Ben-Hayun, Shiran & Perry-Hazan, Lotem, 2023. "In the same boat: Parents’ and teachers’ role in protecting elementary school students’ online rights," Children and Youth Services Review, Elsevier, vol. 146(C).
    19. Moira Mckniff & Stephanie M. Simone & Tania Giovannetti, 2023. "Age, Loneliness, and Social Media Use in Adults during COVID-19: A Latent Profile Analysis," IJERPH, MDPI, vol. 20(11), pages 1-12, May.
    20. Mohamad Khoirun Najib & Sri Nurdiati & Ardhasena Sopaheluwakan, 2022. "Multivariate fire risk models using copula regression in Kalimantan, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1263-1283, September.
    21. Akhundjanov, Sherzod B. & Devadoss, Stephen & Luckstead, Jeff, 2017. "Size distribution of national CO2 emissions," Energy Economics, Elsevier, vol. 66(C), pages 182-193.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:156:y:2024:i:c:s0190740923004267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.