Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Bibliographic Data

ID15467288
AuthorsMontserrat Peris (University of the Basque Country), Usue De la Barrera (0000-0003-1510-9669, Universitat de València), Konstanze Schoeps (0000-0002-6312-7055, Universitat de València), Inmaculada Montoya-Castilla (0000-0003-2536-2019, Universitat de València, corresponding author)
Year2020
Volume17
Issue12
Pages4598-4598
Publication date2020-06-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17124598
PMID32604834
OpenAlexW3038006730
LanguageEN
Citations received38
References cited54

Adolescents' addictive use of social media and the internet is an increasing concern among parents, teachers, researchers and society. The purpose was to examine the contribution of body self-esteem, personality traits, and demographic factors in the prediction of adolescents' addictive use of social media and the internet. The participants were 447 Spanish adolescents aged 13-16 years ( M = 14.90, SD = 0.81, 56.2% women). We measured gender, age, body self-esteem (body satisfaction and physical attractiveness), personality traits (extraversion, neuroticism, disinhibition and narcissism) and social networking and internet addiction (internet addiction symptoms, social media use, geek behaviour, and nomophobia). The effects of gender, age, body self-esteem and personality on the different dimensions of internet addiction were estimated, conducting hierarchical linear multiple regression analysis and a fuzzy-set qualitative comparative analysis (fsQCA). The results evidenced different pathways explaining four types of adolescents' internet addiction: gender and disinhibition were the most relevant predictors of addiction symptoms; gender combined with physical attractiveness best explained social media use; narcissism and neuroticism appear to be the most relevant predictors of geek behaviour; and narcissism was the variable that best explained nomophobia. Furthermore, the advantages and differences between both methodologies (regressions vs. QCA) were discussed

Addiction · Environmental health · Internet privacy · Psychiatry · The Internet · World Wide Web · Computer Science · Eating Disorders and Behaviors · Impact of Technology on Adolescents · Medicine · Personality Traits and Psychology · Psychology

Tools

Open DOIOpen Access