Findings on the relationship between Internet addiction and psychological symptoms in Brazilian adults

Andrade, André Luiz Monezi; Scatena, Adriana; Bedendo, André; Enumo, Sônia Regina Fiorim; Dellazzana-Zanon, Letícia Lovato; Prebianchi, Helena Bazanelli; Machado, Wagner de Lara; Micheli, Denise De

doi:10.1002/ijop.12670

Cited by 38 publications

(21 citation statements)

References 28 publications

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“…A network analysis (NA) was also used to identify the psychometric properties of SAS-LV. This statistical model allows the evaluation of the correlation strength between scale items, as well as the connectivity (betweenness centrality), the proximity between them (closeness centrality), and the ratio of the number of links a variable has from the number of possible links (degree centrality) (Andrade et al 2020a;Epskamp et al 2018). A Gaussian graphical model was used with partial correlations being estimated with GLASSO (graphical Least Absolute Shrinkage and Selection Operator) (Pinheiro et al 2020).…”

Section: Data Analysis Proceduresmentioning

confidence: 99%

Validity and Reliability of the Brazilian Version of the Smartphone Addiction Scale-Long Version (SAS-LV)

et al. 2020

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This study performed a cross-cultural adaptation and identified validity evidences of the smartphone addiction scale-long version (SAS-LV) in a sample of Brazilian university students (n = 504; M age = 21.7; SD = 3.03) and adults (n = 578; M age = 37.8; SD = 11.8). The adaptation of the SAS-LV was performed based on specific protocols, with the participation of experts in the field. The factorial structure was evaluated by using confirmatory factor analysis (CFA), principal component analysis (PCA), and network analysis (NA). The CFA did not detect adequate parameters, but the PCA presented a five-factor solution, explaining 55.2% of the variance. All items from the original version were retained because they had a factor load above 0.3. The SAS-LV presented good reliability indexes (α = .93). The NA indicated that the instrument had good psychometric properties for the two populations studied. The Portuguese version of the SAS-LV presented good validity indexes and can be used as a screening tool for smartphone addiction. Este estudo realizou a adaptação transcultural e identificou evidências de validade da smartphone addiction scale-long version (SAS-LV) para uma amostra de universitários (n = 504; M idade = 21,7; DP = 3,03) e adultos (n = 578; M idade = 37,8; DP = 11,8) brasileiros. A adaptação da SAS-LV foi realizada a partir de protocolos específicos, com a participação de especialistas da área. A estrutura fatorial foi avaliada pela análise fatorial confirmatória (AFC), análise de componentes principais (ACP) e análise de rede (AR). A AFC não apresentou parâmetros adequados, mas a ACP apresentou uma solução com cinco fatores, explicando 55,2% da variância. Todos os itens da versão original foram mantidos porque apresentaram carga fatorial acima de 0,3. A SAS-LV apresentou bons índices de confiabilidade (α = 0,93). A AR indicou um bom ajuste psicométrico do instrumento para as duas populações estudadas. A versão em português da SAS-LV apresentou bons índices de validade, podendo ser utilizada como instrumento de rastreio para a dependência de smartphone.

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Section: Data Analysis Proceduresmentioning

confidence: 99%

Validity and Reliability of the Brazilian Version of the Smartphone Addiction Scale-Long Version (SAS-LV)

et al. 2020

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“…This drawback has been demonstrated by several recent studies. For instance, individual PSU symptoms have shown different associations with self-control ( 21 ), problematic internet use ( 22 ) and neuroticism ( 23 ). Meanwhile, different components of IU were found to have distinct effects on generalized anxiety disorder ( 24 ).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis

Liu

Ren

et al. 2022

Front. Psychiatry

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BackgroundExisting research has demonstrated that intolerance of uncertainty (IU) is associated with problematic smartphone use (PSU). However, little is known about how different IU components such as uncertainty-related beliefs, emotions, and behaviors may impact on different PSU symptoms.MethodsExtending previous research, the current study examined the specific associations between IU components and PSU symptoms via a symptom-level network approach. A regularized partial correlation network consisting of different IU components and PSU symptoms was estimated among 1,849 Chinese university students. We examined pathways and influential nodes (i.e. central components/symptoms and bridge components/symptoms) within the IU-PSU network.ResultsThe strongest pathway linking IU and PSU was between emotional reactions to uncertainty and coping-motivated smartphone use. Importantly, emotional reactions toward not having enough information (a reflection of emotional reactions to uncertainty) may act as both a central and a bridge component in maintaining the whole IU-PSU network.ConclusionsThe results are in line with the I-PACE model and highlight that PSU may be a coping response for negative emotions derived from uncertainty. Finally, the current findings highlight the potential of interventions targeting intolerance of uncertainty for reducing PSU.

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“…The incidence rate of self-reported internet addiction varied across studies as a function of assessment instrument but it was equally distributed across gender and age groups. Timely recognition and appropriate management of internet addiction in healthcare workers can be important to optimise their work performance and mitigate the risk for other adverse mental health outcomes (Andrade et al, 2020; Restrepo et al, 2020; Tang et al, 2020). Given increasing research interest in internet addiction in healthcare professionals, it is important to better understand the prevalence and potential adverse health consequences of internet addiction to better guide intervention strategies and future research of this emerging mental health problem.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of internet addiction in healthcare professionals: Systematic review and meta-analysis

Bunevičienė

Bunevičius

2020

Int J Soc Psychiatry

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Background: Internet addition is becoming increasingly recognised as an important mental health problem. Aim: This study examined prevalence of internet addiction in healthcare professionals. Method: Systematic literature review was undertaken of June 4, 2020 with goal to identify studies that evaluated prevalence of internet addiction or problematic internet use in medical professionals. Reported associations with other mental health symptoms were also considered. Results: Prevalence of internet addiction was studied in medical residents only ( n = 770; three studies), faculty members only ( n = 69; one study), nurses only ( n = 564; one study) and mixed samples of medical professionals ( n = 415; three studies). Pooled prevalence rate of internet addiction in 1,818 healthcare professionals was 9.7% (95% confidence interval: 5.8%–13.6%). Internet addiction was associated with greater mental symptom burden and fatigue of healthcare workers. Conclusion: Internet addiction is present in healthcare professionals, however, to a lesser extent than in medical students suggesting that increasing clinical responsibilities and increasing age can be important moderators of risk for internet addiction. Internet addiction is associated with greater burden of unfavourable mental health outcomes of healthcare professionals. Further studies exploring global burden of internet addiction in healthcare professionals and possible impact of internet addiction on work performance of healthcare professionals are encouraged.

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Findings on the relationship between Internet addiction and psychological symptoms in Brazilian adults

Cited by 38 publications

References 28 publications

Validity and Reliability of the Brazilian Version of the Smartphone Addiction Scale-Long Version (SAS-LV)

Validity and Reliability of the Brazilian Version of the Smartphone Addiction Scale-Long Version (SAS-LV)

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis

Prevalence of internet addiction in healthcare professionals: Systematic review and meta-analysis

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