Growing Up Perfect: Perfectionism, Problematic Internet Use and Career Indecision in Emerging Adults

Journal of counseling and development: JCD (Impact Factor: 0.62). 04/2011; 89(2):155-162. DOI: 10.1002/j.1556-6678.2011.tb00073.x


Perfectionism and problematic Internet use are promising yet underdeveloped areas of inquiry with career indecisive emerging adults. We examined the association between perfectionism and problematic Internet use and their contributions to career indecision. The full model was significant, yielding an R2 of .457 (p< .0001). Problematic Internet use accounted for a significant amount of the variance in career indecision (R2 =.318). Career indecision was predicted by maladaptive but not adaptive perfectionism. Counseling implications are discussed.

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Available from: Ilana Lehmann, Apr 26, 2014
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    • "Considering the problematic behavioral model, Internet addiction is related to problematic alcohol use [7]. It has been also found that maladaptive perfectionism attitude that is not direct relationship with Internet addiction is related to Internet addiction [8]. Self-esteem is described as a person's attitude to himself. "
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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), 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, psychoticism scores were significantly higher, EPQR-A lie scores were significantly lower than the non addicted group. According to the multiple binary logistic regression analysis, being male, duration of internet usage, depression, perfectionistic attitude have been found as predictors for internet addiction. It has been found that perfectionistic attitude is a predictor for internet addiction even 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.
    Comprehensive Psychiatry 08/2014; 55(6). DOI:10.1016/j.comppsych.2014.04.025 · 2.25 Impact Factor
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    ABSTRACT: Anecdotal reports indicated that some on-line users were becoming addicted to the Internet in much the same way that others became addicted to drugs or alcohol, which resulted in academic, social, and occupational impairment. However, research among sociologists, psychologists, or psychiatrists has not formally identified addictive use of the Internet as a problematic behavior. This study investigated the existence of Internet addiction and the extent of problems caused by such potential misuse. Of all the diagnoses referenced in the Diagnostic and Statistical Manual of Mental Disorders - Fourth Edition (DSM-IV; American Psychiatric Association, 1995), Pathological Gambling was viewed as most akin to the pathological nature of Internet use. By using Pathological Gambling as a model, addictive Internet use can be defined as an impulse-control disorder that does not involve an intoxicant. Therefore, this study developed a brief eight-item questionnaire referred to as a Diagnostic Questionnaire (DQ), which modified criteria for pathological gambling to provide a screening instrument for classification of participants. On the basis of this criteria, case studies of 396 dependent Internet users (Dependents) and 100 nondependent Internet users (Nondependents) were classified. Qualitative analyses suggest significant behavioral and functional usage differences between the two groups such as the types of applications utilized, the degree of difficulty controlling weekly usage, and the severity of problems noted. Clinical and social implications of pathological Internet use and future directions for research are discussed.
    CyberPsychology & Behavior 07/1998; 1(3). DOI:10.1089/cpb.1998.1.237 · 2.71 Impact Factor
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    CyberPsychology & Behavior 02/1999; 2(5):381-3. DOI:10.1089/cpb.1999.2.381 · 2.71 Impact Factor
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