The correlation between temperament traits, problematic Internet use, subjective psychological well-being among older adolescents

Author(s):  
Nataliya Zhuckova ◽  
AF AF
2020 ◽  
Vol 25 (6) ◽  
pp. 31-40
Author(s):  
A.A. Gerasimova ◽  
A.B. Kholmogorova

Pandemic and accompanying isolation period made significant changes in the daily activities of adolescents and young people. In the changed conditions, it is of interest to study the most adaptive coping strategies that contribute to the preservation of psychological well-being. The study involved 88 girls in Russia, aged 13 to 22 (M = 17.8; SD = 3).Data collection was carried out from 6 to 7 May 2020.The scales used were: Pandemic Lifestyle Changes Questionnaire, Generalized Problematic Internet Use Scale (GPIUS3), Loneliness Scale (UCLA), Satisfaction with Life Scale (SWLS), Well-Being Index (WHO-5), and Symptom Check List- 90-Revised (SCL-90-R).Short and long term planning was found to be positively associated with less depressive symptoms and greater life satisfaction. Social interaction and altruism are associated with lower rates of problematic Internet use. Family interaction is associated with indicators of psychological well-being and less loneliness. Family conflicts are correlated with an increase in rates of problematic Internet use and lower levels of psychological well-being.


2019 ◽  
Vol 27 (3) ◽  
pp. 138-155 ◽  
Author(s):  
A.B. Kholmogorova ◽  
A.A. Gerasimova

The article introduces a study of the problematic Internet use (PIU) interrelationship with psychological well-being, psychopathological symptoms, and various personality traits. The study involved 432 females aged 14 to 23 years old (M = 17.2, SD = 2) and evaluated with Generalized Problematic Internet Use Scale (GPIUS3), Ten Item Personality Measure (TIPI), Perfectionism Inventory, Hypersensitive Narcissism Scale (HSNS), Satisfaction with Life Scale (SWLS), Well-Being Index (WHO-5), and Symptom Check List-90-Revised (SCL-90-R). The results indicate that PIU is associated with various psychopathological symptoms and a decrease in psychological well-being. According to multiple linear regression analysis, hypersensitive narcissism, perfectionism, and phobic anxiety are found to be significant predictors of PIU. Protective factors are Conscientiousness of the Big Five and the level of psychological well-being. The paper suggests risk and protective factors that must be considered when preventing the Problematic Internet Use in adolescent and young girls.


Author(s):  
Wangbing Shen ◽  
Meifeng Hua ◽  
Meijiao Wang ◽  
Yuan Yuan ◽  
Meiling Shao ◽  
...  

2020 ◽  
Vol 3 (1) ◽  
pp. 51-68
Author(s):  
Aisyah Syihab ◽  
Dyah Rani ◽  
Anindya Dewi Paramita

Penelitian ini bertujuan untuk mengetahui hubungan psychological well-being dan problematic internet use pada emerging adult. Responden pada penelitian ini berjumlah 210 emerging adult di Jakarta dengan teknik pengambilan sampel convenience sampling. Psychological well-being diukur menggunakan Psychological Well-Being Scale (PWBS) yang dikembangkan oleh Ryff (1989). Problematic Internet Use diukur menggunakan Generalized Problematic Internet Use Scale 2 (GPIUS-2) yang dikembangkan oleh Caplan (2010). Data penelitian ini dianalisis dengan teknik korelasi sederhana. Berdasarkan hasil penelitian didapatkan hasil bahwa terdapat hubungan signifikan negatif antara semua dimensi psychological well-being (self-acceptance, positive relation with others, autonomy, environmental mastery, purpose in life, personal growth) dan problematic internet use. 


2012 ◽  
pp. 302-314 ◽  
Author(s):  
Chiungjung Huang

The direction of the correlation between Internet use and psychological well-being is debatable. The displacement hypothesis indicates the correlation is negative, as Internet use for communication replaces face-to face-interaction. Conversely, the augmentation hypothesis suggests that the correlation is positive because Internet use for communication complements existing social interaction. While previous empirical findings about the relationship between Internet use and psychological well-being have been diverse, two previous meta-analyses and the present meta-analysis about the use of social networking sites and psychological well-being supported neither position, and found no relationship between Internet use and psychological well-being. Investigation of causal predominance between Internet use and psychological well-being, increased attention to measurement problems of social networking site use and older adults, and consideration of effects of indicators and moderators should be addressed in future research.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S326-S326
Author(s):  
Ronald W Berkowsky

Abstract Previous work focusing on the relationship between Internet use and quality of life among older adults (aged 65+) has found evidence of various positive impacts. This project expands upon this work by examining the relationship between Internet use and measures of psychological well-being (PWB) including autonomy, environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance. The analytic sample is derived from two waves of data (Time 1 = 2004, Time 2 = 2011) taken from the Wisconsin Longitudinal Study and includes a sample of older adults aged~65 at Time 1 (N = 4943). Participants were separated into four categories: those who did not use the Internet at Time 1 or 2, those who used the Internet at Time 1 only, those who used the Internet at Time 2 only, and those who used the Internet at both Time 1 and 2. Regression analyses were performed with the Time 2 PWB measures as the outcomes and the Internet use categories as the primary predictors. Results indicate that while continuous Internet users typically reported higher PWB scores compared to non-users, those who stopped use between Time 1 and 2 also reported higher scores and those who started use between Time 1 and 2 reported lower scores. These results generally held when introducing Time 1 PWB measures as controls, suggesting changes in Internet use may affect PWB but not necessarily in the predicted directions. Additional control variables, potential explanations, and implications for future research are discussed.


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