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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Predictors of problematic smartphone use among university students

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Autor(es):
Laurence, Paulo Guirro [1, 2, 3] ; Busin, Yuri [1, 2] ; da Cunha Lima, Helena Scoz [1, 2] ; Macedo, Elizeu Coutinho [1, 2]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Prebiteriana Mackenzie, Ctr Hlth & Biol Sci, Social & Cognit Neurosci Lab, Sao Paulo - Brazil
[2] Univ Prebiteriana Mackenzie, Ctr Hlth & Biol Sci, Dev Disorders Program, Sao Paulo - Brazil
[3] Univ Prebiteriana Mackenzie, Social & Cognit Neurosci Lab, Rua Piaui 181, 10th Floor, BR-01241001 Sao Paulo - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: PSICOLOGIA-REFLEXAO E CRITICA; v. 33, n. 1 MAY 19 2020.
Citações Web of Science: 0
Resumo

Predictors of problematic smartphone use have been found mainly in studies on elementary and high school students. Few studies have focused on predictors related to social network and messaging apps or smartphone model. Thus, the objective of our study was to identify predictors of problematic smartphone use related to demographic characteristics, loneliness, social app use, and smartphone model among university students. This cross-sectional study involved 257 Brazilian university students who answered a smartphone addiction scale, a questionnaire about smartphone usage patterns, and the Brazilian version of the UCLA-R loneliness scale. Women, iPhone owners, and users of Instagram and Snapchat had significantly higher smartphone addiction scores. We found correlations between scores for the Brazilian version of smartphone addiction scale and the importance attributed to WhatsApp, Facebook, Instagram, and Snapchat, and the Brazilian version of the UCLA-R loneliness scale. Our hierarchical regression model predicted 32.2% of the scores of the Brazilian version of the smartphone addiction scale, with the greatest increase in predictive capability by the step that added smartphone social app importance, followed by the step that added loneliness. Adding the smartphone model produced the smallest increase in predictive capability. The theoretical and practical implications of these results are discussed. (AU)

Processo FAPESP: 18/09654-7 - Stereotype boost: correlatos neurais e medidas oculares no processamento da propulsão de estereótipo social
Beneficiário:Paulo Guirro Laurence
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 18/06039-0 - Padrão de uso de smartphones e relação com níveis de ansiedade, depressão e autoestima
Beneficiário:Helena Scoz da Cunha Lima
Linha de fomento: Bolsas no Brasil - Iniciação Científica