Social representation regarding the use of alcoholic beverages by adolescents

Yamauchi, Luciane Maya; Andrade, André Luiz Monezi; Pinheiro, Bruno de Oliveira; Enumo, Sônia Regina Fiorim; Micheli, Denise De

doi:10.1590/1982-0275201936e180098

Cited by 20 publications

(6 citation statements)

References 26 publications

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“…Sociodemographic data were analysed either by Chi-square test (χ 2) or by one-way analysis of variance (ANOVA). In the latter case, the continuous variables were standardized (Z-score) and data homogeneity was assessed using Levene's test (Yamauchi et al 2019;Cruz et al 2018). The effect size of the analyses was evaluated using Cramer's V test for nominal variables and Eta square test (η 2 ) for continuous variables (Schaub et al 2018;Silva et al 2018).…”

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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“…The effect size for nominal and categorical data was measured using Cramér's V according to the degrees of freedom. For the continuous data, we used eta squared ( 2 ), considering .0-.4 a small effect, .41-.79 a medium effect and .8-.1 a significant effect (Yamauchi, Andrade, Pinheiro, Enumo, & Micheli, 2019). A logistic regression model was conducted with IA as the outcome variable, and the adjusted model considered gender, age and region as control variables.…”

Section: Discussionmentioning

confidence: 99%

“…The effect size for nominal and categorical data was measured using Cramér's V according to the degrees of freedom. For the continuous data, we used eta squared ( η 2 ), considering .0–.4 a small effect, .41–.79 a medium effect and .8–.1 a significant effect (Yamauchi, Andrade, Pinheiro, Enumo, & Micheli, 2019).…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2020

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T his study evaluated the prevalence of Internet addiction (IA) and its association with negative psychological symptoms in Brazilian adults. A network analysis was conducted to estimate specific variables and their expected influence on IA. In this cross-sectional study, 15,476 adults (M age = 37.5, SD = 9.59) completed an open web-based survey. Three questionnaires were used: the Internet Addiction Test (IAT), Depression Anxiety and Stress Scale (DASS-21) and Satisfaction With Life Scale (SWLS). Based on IAT scores, participants were classified as No-Risk user (NRU), Low-Risk user (LRU) or High-Risk user (HRU). We observed that 4.8% of the participants were classified in the HRU group. In addition, their risk for severe symptoms of depression was 10 times higher and, for anxiety, seven times higher than that in the NRU group (p < .001). Time spent using smartphones was also significantly higher in the HRU group (M hours = 5.1, p < .001). The main factors associated with IA were depression, gender and anxiety, but the variable "having children" was the most influential in the IA network. These findings suggest that psychiatric symptoms are the main factors associated with IA among the adult population.

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“…In Brazil specifically, risk behaviors acquired during adolescence tend to persist into adulthood, with repercussions in the different dimensions of quality of life (Felisbino-Mendes et al, 2018; Malta et al, 2018; Yamauchi et al, 2019). It is common, for example, for adolescents to believe that they will not catch a sexually transmitted disease or that they will not become addicted to drugs.…”

Section: Discussionmentioning

confidence: 99%

Association between quality of life and risk behaviors in Brazilian adolescents: An exploratory study

et al. 2020

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We evaluated the association between risk behaviors and quality of life in 1,081 adolescents classified into the risk behavior (RB) or the non-risk behavior (nRB) group. The data were analyzed with logistic regression models, analysis of variance, and network analysis. The nRB group had higher quality-of-life scores, and having a religion (OR = .42) and better quality of life (OR = .95) significantly reduced the odds of risk behaviors. The network analysis identified that religion, gender, and type of school showed the best centrality and connectivity indices. These data showed a negative association between risk behaviors and lower quality-of-life levels.

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Social representation regarding the use of alcoholic beverages by adolescents

Cited by 20 publications

References 26 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)

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

Association between quality of life and risk behaviors in Brazilian adolescents: An exploratory study

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