Relationship of Internet addiction with cognitive style, personality, and depression in university students

Here we present the ‘Abstract‘ of the corresponding paper by Senormancı O, Saraçlı O, Atasoy N, Senormancı G, Koktürk F, Atik L.

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Abstract

BACKGROUND:

The aim of the study was to investigate the relationship of dysfunctional attitudes, self-esteem, personality, and depression with Internet addiction in university students.

METHODS:

A total of 720 university students participated in the study in Bülent Ecevit University English Preparatory School which offers intensive English courses. Students were evaluated with a sociodemographic data form, Beck Depression Inventory (BDI), Dysfunctional Attitudes Scale form A (DAS-A), Internet Addiction Scale (IAS), Rosenberg Self-Esteem Scale (RSES), and Eysenck Personality Questionnaire Revised/Abbreviated Form (EPQR-A).

RESULTS:

The results indicated that 52 (7.2%) of the students had Internet addiction. There were 37 (71.2%) men, 15 (28.8%) women in the addicted group. While the addicted groups’ BDI, DAS-A perfectionistic attitude, need for approval, RSES, EPQR-A neuroticism, and psychoticism scores were significantly higher, EPQR-A lie scores were significantly lower than those of the non addicted group. According to the multiple binary logistic regression analysis, being male, duration of Internet usage, depression, and perfectionistic attitude have been found as predictors for Internet addiction. It has been found that perfectionistic attitude is a predictor for Internet addiction even when depression, sex, duration of Internet were controlled.

CONCLUSIONS:

To the knowledge of the researchers, this study is the first study to show the dysfunctional attitudes in Internet addiction. It can be important to evaluate dysfunctional attitudes, personality, self-esteem and depression in people with Internet addiction. These variables should be targeted for effective treatment of people with Internet addiction in cognitive behavioral therapy.

(Source: https://www.ncbi.nlm.nih.gov/pubmed/24889340)

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