Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: A cross-sectional study among Turkish university students

This study investigated the relationship among loneliness, self‐esteem, life satisfaction, and Internet addiction. Participants were 384 university students (114 males, 270 females) from 18 to 24 years old from the faculty of education in Turkey. The Internet Addiction, UCLA Loneliness, Self‐esteem,...

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Veröffentlicht in:Scandinavian journal of psychology 2013-08, Vol.54 (4), p.313-319
Hauptverfasser: Bozoglan, Bahadir, Demirer, Veysel, Sahin, Ismail
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container_title Scandinavian journal of psychology
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creator Bozoglan, Bahadir
Demirer, Veysel
Sahin, Ismail
description This study investigated the relationship among loneliness, self‐esteem, life satisfaction, and Internet addiction. Participants were 384 university students (114 males, 270 females) from 18 to 24 years old from the faculty of education in Turkey. The Internet Addiction, UCLA Loneliness, Self‐esteem, and Life Satisfaction scales were distributed to about 1000 university students, and 38.4% completed the survey (see Appendix A and B). It was found that loneliness, self‐esteem, and life satisfaction explained 38% of the total variance in Internet addiction. Loneliness was the most important variable associated with Internet addiction and its subscales. Loneliness and self‐esteem together explained time‐management problems and interpersonal and health problems while loneliness, self‐esteem, and life satisfaction together explained only the interpersonal and health problems subscales.
doi_str_mv 10.1111/sjop.12049
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subjects Adolescent
Behavior, Addictive - psychology
Cross-Sectional Studies
Female
Humans
Internet
Internet addiction
life satisfaction
loneliness
Loneliness - psychology
Male
Personal Satisfaction
Psychiatric Status Rating Scales
Self Concept
self-esteem
Students - psychology
Surveys and Questionnaires
Turkey
Universities
university students
Young Adult
title Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: A cross-sectional study among Turkish university students
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