Life satisfaction and family functions as-predictors of problematic Internet use in university students

Kabasakal, Zekavet

doi:10.1016/j.chb.2015.07.019

Cited by 54 publications

(31 citation statements)

References 58 publications

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“…Therefore, the result of the mediating and moderating analysis is an indirect rather than a direct one. Previous research has indicated that PSMU decreases family life satisfaction (Kabasakal 2015;Yen et al 2007) and low family life satisfaction weakens social connectedness (Toth et al 2002;Youngblade et al 2007). In addition, PSMU can directly cause a decrease in social connectedness (McIntyre et al 2015;Pitmann and Reich 2016;Yao and Zhong 2014).…”

Section: Discussionmentioning

confidence: 98%

“…In a large-scale study (n = 3662), adolescents with Internet addiction had more discussions with their parents but family life satisfaction was lower (Yen et al 2007). Similarly, Kabasakal (2015) found that as the problematic Internet use levels of university students increased, their level of life satisfaction decreased. In addition, it was determined that students with high problematic Internet use had negative family relationships.…”

Section: Problematic Social Media Use and Social Connectednessmentioning

confidence: 97%

See 1 more Smart Citation

Problematic Social Media Use and Social Connectedness in Adolescence: The Mediating and Moderating Role of Family Life Satisfaction

Savcı

Akat

Ercengiz

et al. 2020

Int J Ment Health Addiction

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Problematic social media use (PSMU) among adolescents has become an area of increasing research interest in recent years. It is known that PSMU is negatively associated with social connectedness. The present study examined the role of family life satisfaction in this relationship by investigating its mediating and moderating role in the relationship between problematic social use and social connectedness. The present study comprised 549 adolescents (296 girls and 253 boys) who had used social media for at least 1 year and had at least one social media account. The measures used included the Social Media Disorder Scale, Social Connectedness Scale, and Family Life Satisfaction Scale. Mediation and moderation analyses were performed using Hayes’s Process program. Regression analysis showed that PSMU negatively predicted family life satisfaction and social connectedness. In addition, family life satisfaction and PSMU predicted social connectedness. Mediation analysis showed that family life satisfaction had a significant mediation effect in the relationship between PSMU and social connectedness. Family life satisfaction was partially mediated in the relationship between PSMU and social connectedness. Moderation analysis showed that family life satisfaction did not have a significant effect on the relationship between PSMU and social connectedness. The study suggests that family life satisfaction is a meaningful mediator (but not a moderator) in the relationship between problematic social media use and social connectedness.

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Section: Discussionmentioning

confidence: 98%

Section: Problematic Social Media Use and Social Connectednessmentioning

confidence: 97%

Problematic Social Media Use and Social Connectedness in Adolescence: The Mediating and Moderating Role of Family Life Satisfaction

Savcı

Akat

Ercengiz

et al. 2020

Int J Ment Health Addiction

View full text Add to dashboard Cite

show abstract

“…In the validation process, psychometric properties were firstly checked via reliability, factor structure, inter-item, and item-total correlations. Concurrent validity was checked via correlations with mental distress [24,25], sleeping problems [5], low quality in family relationships [26], psychiatric disorders, depressive mood disorders [9,27], and anxiety disorders [28]. Since there was not a direct question to ask for the quality of participants' family relationships, a question about perceived importance of family was used instead.…”

Section: The Current Studymentioning

confidence: 99%

Development and Validation of a Short-Form Internet Overuse Screening Questionnaire for Adults

et al. 2020

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The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs). Methods: A total of 571 adults were recruited from a representative, stratified, and multistage cluster sample. Among participants, 188 and 383 were used in the development and validation of the IOS-Qs, respectively. Results: Experts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using these 8 items revealed an estimated prevalence of 8.6% (33 out of 383) of problematic internet over-users. Problematic internet over-users were positively associated with a 1-year prevalence rate of any mental disorder (OR 3.08, p = 0.008), mood disorder (OR 7.11, p = 0.003), and depressive disorder (OR 5.22, p = 0.016). The receiver operating characteristic curves identified an optimal cutoff score of 9.5 for differentiating problematic internet over-users from unproblematic internet users with 94% sensitivity and 94% specificity. Conclusion: The results suggest that the IOS-Qs was valid, and items including social isolation were crucial to the brief distinction of at-risk internet users. Because of its brevity, the questionnaire can be effectively administered as a large-scale survey.

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“…23,24 In contrast, some studies have concluded that social media use has negative effects on life satisfaction in adolescents. 25-27…”

Section: Introductionmentioning

confidence: 99%

The relationship between family social capital, social media use and life satisfaction in adolescents

Geraee

Soltani

2019

Health Promot Perspect

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Background: Nowadays, two social phenomena are identified as factors that significantly influence life satisfaction among adolescents: family social capital and social media use. This study aimed to investigate the direct and indirect relationships between family social capital and life satisfaction, and the possible mediating role of social media use between the variables among Iranian adolescents. Methods: In 2018, this cross-sectional study was carried out on 835 adolescents aged from 12to 19, in six high schools of Isfahan, Iran. Data were collected using a validated four-section questionnaire including demographic characteristics (3 items), life satisfaction (5 items), family social capital (31 items) and social media use (4 items) scales. IBM SPSS version 21 statistical software and AMOS version 24 were used to analyze the data. Structural equation modeling was used to assess the fit of model. The significance level of 0.05 was considered for all data analyses. Results: The findings indicated that family social capital and social media use explained 50%of the variance in life satisfaction. Social media use was found with a partial mediating role in the association between family social capital and life satisfaction. Family social capital was the strongest predictor of life satisfaction (β =0.681, P<0.001). The relationship between social media use and life satisfaction was also statistically significant (β =- 0.12, P<0.001). Conclusion: Social media use and family social capital should be considered while investigating the determinants of life satisfaction among adolescents.

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Life satisfaction and family functions as-predictors of problematic Internet use in university students

Cited by 54 publications

References 58 publications

Problematic Social Media Use and Social Connectedness in Adolescence: The Mediating and Moderating Role of Family Life Satisfaction

Problematic Social Media Use and Social Connectedness in Adolescence: The Mediating and Moderating Role of Family Life Satisfaction

Development and Validation of a Short-Form Internet Overuse Screening Questionnaire for Adults

The relationship between family social capital, social media use and life satisfaction in adolescents

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