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Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis

Background: Social networking sites (SNSs) have changed the ways that we interact with each other. The use of social networking sites by adolescents is addictive, with numerous negative consequences. Various factors influence social networking sites addiction among adolescents. Objective: We aime...

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Main Authors: Ying, Wong Khung, Md Mizanur, Rahman, Andrew, Kiyu
Format: Article
Language:English
Published: Bangladesh Medical Research Council 2022
Subjects:
R Medicine (General)
Online Access:http://ir.unimas.my/id/eprint/39263/1/Social%20Networking%20Sites1.pdf
http://ir.unimas.my/id/eprint/39263/
https://bmrcbd.org/Bulletin/bulletin_pdf/4801/480102.pdf
https://doi.org/10.3329/bmrcb.v48i1.60655
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spelling my.unimas.ir.392632022-08-19T01:40:29Z http://ir.unimas.my/id/eprint/39263/ Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis Ying, Wong Khung Md Mizanur, Rahman Andrew, Kiyu R Medicine (General) Background: Social networking sites (SNSs) have changed the ways that we interact with each other. The use of social networking sites by adolescents is addictive, with numerous negative consequences. Various factors influence social networking sites addiction among adolescents. Objective: We aimed to determine the prevalence of gender-specific social networking sites addiction among adolescents and the factors influence social networking sites addiction. Methods: A quantitative, cross-sectional community-based research was conducted by face-to-face interviews among adolescents in all 11 administrative divisions of Sarawak, Malaysia. The multistage cluster sampling technique was followed, with an adolescent selected systematically from each household. An adapted and validated questionnaire, which included 20 items of social networking sites addiction, was used to collect data. We analysed 1344 adolescent’s data using IBM SPSS Version 22.0. A partial least square structural path with mediation analysis was done using WarpPLS version 7.0. Results: Three-quarters of the adolescents (76.2%) used social networking sites, but only two-fifths of them (40.4%) were addicted, with 15% having moderate-severe addiction to social networking sites. The most frequently used social networking sites was YouTube (77.9%), followed by Facebook (75.2%) and Instagram (59.0%). Self-esteem had a negative correlation, while adolescent risk behaviours directly affected social networking sites addiction (p<0.001). The most potent predictors for social networking sites addiction were YouTube, Instagram, and Pinterest (p<0.05). Conclusion: Tackling risk behaviours and enhancing adolescents’ self-esteem would reduce the tendency to be addicted to social networking sites. Bangladesh Medical Research Council 2022 Article PeerReviewed text en http://ir.unimas.my/id/eprint/39263/1/Social%20Networking%20Sites1.pdf Ying, Wong Khung and Md Mizanur, Rahman and Andrew, Kiyu (2022) Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis. Bangladesh Medical Research Council Bulletin, 48. pp. 10-20. ISSN 0377-9238 https://bmrcbd.org/Bulletin/bulletin_pdf/4801/480102.pdf https://doi.org/10.3329/bmrcb.v48i1.60655
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Ying, Wong Khung
Md Mizanur, Rahman
Andrew, Kiyu
Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
description Background: Social networking sites (SNSs) have changed the ways that we interact with each other. The use of social networking sites by adolescents is addictive, with numerous negative consequences. Various factors influence social networking sites addiction among adolescents. Objective: We aimed to determine the prevalence of gender-specific social networking sites addiction among adolescents and the factors influence social networking sites addiction. Methods: A quantitative, cross-sectional community-based research was conducted by face-to-face interviews among adolescents in all 11 administrative divisions of Sarawak, Malaysia. The multistage cluster sampling technique was followed, with an adolescent selected systematically from each household. An adapted and validated questionnaire, which included 20 items of social networking sites addiction, was used to collect data. We analysed 1344 adolescent’s data using IBM SPSS Version 22.0. A partial least square structural path with mediation analysis was done using WarpPLS version 7.0. Results: Three-quarters of the adolescents (76.2%) used social networking sites, but only two-fifths of them (40.4%) were addicted, with 15% having moderate-severe addiction to social networking sites. The most frequently used social networking sites was YouTube (77.9%), followed by Facebook (75.2%) and Instagram (59.0%). Self-esteem had a negative correlation, while adolescent risk behaviours directly affected social networking sites addiction (p<0.001). The most potent predictors for social networking sites addiction were YouTube, Instagram, and Pinterest (p<0.05). Conclusion: Tackling risk behaviours and enhancing adolescents’ self-esteem would reduce the tendency to be addicted to social networking sites.
format Article
author Ying, Wong Khung
Md Mizanur, Rahman
Andrew, Kiyu
author_facet Ying, Wong Khung
Md Mizanur, Rahman
Andrew, Kiyu
author_sort Ying, Wong Khung
title Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
title_short Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
title_full Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
title_fullStr Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
title_full_unstemmed Addiction Among Adolescents to Social Networking Sites in Malaysia: A Hierarchical Multiple Linear Regression Analysis
title_sort addiction among adolescents to social networking sites in malaysia: a hierarchical multiple linear regression analysis
publisher Bangladesh Medical Research Council
publishDate 2022
url http://ir.unimas.my/id/eprint/39263/1/Social%20Networking%20Sites1.pdf
http://ir.unimas.my/id/eprint/39263/
https://bmrcbd.org/Bulletin/bulletin_pdf/4801/480102.pdf
https://doi.org/10.3329/bmrcb.v48i1.60655
_version_ 1743110945619574784
score 13.211869

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