The theoretical underpinnings of Internet addiction and its association with psychopathology in adolescence

Taylor, Shawn D.; Pattara-angkoon, Sirirada; Sirirat, Schwanagorn; Woods, Damith T.

doi:10.1515/ijamh-2017-0046

Cited by 11 publications

(11 citation statements)

References 36 publications

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“…Summarizing, according to Taylor et al, 39 who make use of cognitive-behavioral models and social-skills theory, there is a strong relationship between depression and time spent using the Internet, whereas more mixed findings are reported for social anxiety. Loneliness and hostility were also found to correlate with Internet use.…”

Section: Discussionmentioning

confidence: 99%

<p>Psychometric properties of the Brief Symptom Inventory in nomophobic subjects: insights from preliminary confirmatory factor, exploratory factor, and clustering analyses in a sample of healthy Italian volunteers</p>

Adawi¹,

Zerbetto²,

Re³

et al. 2019

PRBM

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BackgroundThe Brief Symptom Inventory (BSI), developed by Derogatis in 1975, represents an important standardized screening instrument that enables one to quantitatively assess psychological distress and psychiatric disorders. The BSI is a 53-item self-report scale, measuring nine dimensions that can be summed up to reflect three global indices, including the General Severity Index (GSI). In the era of new information and communication technologies, nomophobia (“no mobile phobia”) is an emerging disorder, characterized by the fear of being out of mobile phone contact. Nothing is known, however, about the factor structure and reliability of the BSI in a population of nomophobic subjects. This study aimed at addressing this gap in knowledge.MethodsA sample of 403 subjects aged 27.91±8.63 years (160 males, 39.7% of the entire sample, and 243 females, 60.3%), recruited via snowball sampling, volunteered to take part in the study. The Italian versions of the Nomophobia questionnaire and the BSI were administered. Exploratory factor analyses, confirmatory factor analyses, and clustering analysis were carried out together with correlation analysis, analysis of variance, and multivariate regression analysis.ResultsFor each BSI subscale, scores were significantly higher than the norms. The nine subscales exhibited acceptable-to-good Cronbach’s alpha coefficients, varying from 0.733 for psychoticism to 0.875 for depression. Overall, the reliability of the entire instrument proved to be excellent (alpha coefficient=0.972). Furthermore, all BSI subscales as well as BSI synthetic indexes correlated with nomophobia in a significant way. Stratifying the population according to the severity of nomophobia (mild, 206 individuals, 51.1% of the sample; moderate, 167 subjects, 41.4%; and severe, 30 individuals, 7.4%), the GSI score could distinguish (P<0.001) between mild and moderate (0.99±0.71 vs 1.32±0.81) and between mild and severe (0.99±0.71 vs 1.54±0.79) nomophobia, although not between moderate and severe nomophobia (P>0.05). Similar patterns could be found for the other subscales of the BSI. Finally, looking at the fit indexes, the second-order 9-factor model best fit the data compared with the Derogatis 1-factor model.ConclusionThe findings of our study show that the BSI is a reliable and valid instrument with acceptable psychometric properties, and can be administered to populations of nomophobic subjects.

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Section: Discussionmentioning

confidence: 99%

<p>Psychometric properties of the Brief Symptom Inventory in nomophobic subjects: insights from preliminary confirmatory factor, exploratory factor, and clustering analyses in a sample of healthy Italian volunteers</p>

Adawi¹,

Zerbetto²,

Re³

et al. 2019

PRBM

View full text Add to dashboard Cite

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“…Additionally, most prior studies have treated social anxiety, depression, and loneliness as risk factors for Internet-relevant addiction (8, 9), whereas, few studies have examined the alternative direction (10). A relevant study found that the relative risk for depression in students with Internet addiction after months was 1.5 times higher than that of non-Internet addiction participants, after controlling for potential confounding variables (gender, study burden, age, rural, or urban school).…”

Section: Introductionmentioning

confidence: 99%

The Association Between Mobile Game Addiction and Depression, Social Anxiety, and Loneliness

Wang

Sheng

Wang

2019

Front. Public Health

160

110

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As a new type of addictive behaviors and distinct from traditional internet game addiction on desktop computers, mobile game addiction has attracted researchers' attention due to its possible negative effects on mental health issues. However, very few studies have particularly examined the relationship between mobile game addiction and mental health outcomes, due to a lack of specified instrument for measuring this new type of behavioral addiction. In this study, we examined the relationship between mobile game addition and social anxiety, depression, and loneliness among adolescents. We found that mobile game addiction was positively associated with social anxiety, depression, and loneliness. A further analysis on gender difference in the paths from mobile game addiction to these mental health outcomes was examined, and results revealed that male adolescents tend to report more social anxiety when they use mobile game addictively. We also discussed limitations and implications for mental health practice.

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“…Internet use has become an indispensable part of modern life, and, as a result, problematic internet use (PIU) is becoming a public health concern. In particular, excessive internet use at a young age is known to cause psychological, physical, and behavioral problems, such as attention disorder, cognitive impairment, and obesity related to a lack of physical activity [ 1 , 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Work–Family Conflict on Children’s Internet Addiction: Role of Parenting Styles in Korean Working Mother

Yang

Kim

2021

IJERPH

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Based on spillover and crossover models in the family system, we hypothesized the mediating effect of parenting style in the association between maternal work–family conflict (WFC) and children’s problematic internet (PIU). This is a cross-sectional study using data from the 10th wave Panel Study on Korean Children (PSKC) in 2017. The study subjects were 707 mothers and their children. The WFC was measured using the Marshall and Barnett scale, parenting style by the Parenting Styles and Dimension Questionnaire developed by Robinson, and the PIU of a child by the K-Scale for adolescent observers. As a result, maternal WFC had a positive association with the PIU of a child. Maternal WFC also had a link with parenting styles. Specifically, WFC had a negative association with an authoritative parenting style, and a positive association with authoritarian and permissive parenting styles. Regarding the relationship between maternal WFC and the PIU of a child, parenting styles showed a mediating effect for authoritative (z = 2.08, p = 0.037), authoritarian (z = 2.71, p = 0.007), and permissive (z = 3.14, p = 0.002). Based on the results, we assert that when planning an intervention to reduce children’s PIU for working mothers, a multifaceted approach is essential, including both WFC and parenting behavior.

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The theoretical underpinnings of Internet addiction and its association with psychopathology in adolescence

Cited by 11 publications

References 36 publications

<p>Psychometric properties of the Brief Symptom Inventory in nomophobic subjects: insights from preliminary confirmatory factor, exploratory factor, and clustering analyses in a sample of healthy Italian volunteers</p>

<p>Psychometric properties of the Brief Symptom Inventory in nomophobic subjects: insights from preliminary confirmatory factor, exploratory factor, and clustering analyses in a sample of healthy Italian volunteers</p>

The Association Between Mobile Game Addiction and Depression, Social Anxiety, and Loneliness

Work–Family Conflict on Children’s Internet Addiction: Role of Parenting Styles in Korean Working Mother

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