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What do we know about mobile use and emotional symptoms among adolescents? Findings from an exploratory study with adolescents

Autor
Gabriella Di Girolamo Martins
Andr茅 Luiz Monezi Andrade
Data de publicação
//2022
Tipo de conteúdo
Artigo
Direitos de acesso
Acesso aberto
Metadados
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Resumo

<p>Introduction: There are nearly 5 billion internet users globally, most of whom use it through smartphone devices. Around 67% of the world's population uses cell phones. Also, there is an estimate that by 2025 the number of people with access to the Internet will reach nearly 6 billion people (71% of the global population). Objectives: This work aims to identify a possible association between excessive smartphone use and emotional symptoms among adolescents in a sample of students aged between 10 and 16 years old (M = 12.8). It is also intended to detect anxiety, depression, and anxiety prevalence regarding different parental mediation types. Materials and Method: All students will fill out the following instruments: Sociodemographic questionnaire with questions such as age, gender, education level, marital status, the time they have possessed a smartphone and specific questions about the pattern and perception of smartphone use; Smartphone Addiction Scale - Short Version (SAS-SV) to assess the internet usage pattern through ten Likert-type questions; and finally, the Depression Anxiety Stress Scale (DASS-21) to track possible emotional problems linked to anxiety, depression, and stress, by 21 questions Results: The data will be analyzed using descriptive and inferential statistics, continuous variables will be transformed into Z scores, and the normality of the data will be tested using the Kolgomorov Smirnoff test, and homogeneity of variances using the Levene test. As for categorical variables, the chi-square test (�2) will be used for continuous variables, Variance Analysis, when unidirectional analysis of variance (Unidirectional ANOVA) is detected. The effect size will be calculated using Cramer's V test (nominal variables) and the eta-square test (continuous variables).</p>

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