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Predictors of problematic smartphone use among university students
Laurence, Paulo Guirro; Busin, Yuri; Lima, Helena Scoz da Cunha; Macedo, Elizeu Coutinho.
  • Laurence, Paulo Guirro; Mackenzie Presbyterian University. Center for Health and Biological Sciences. Developmental Disorders Program. São Paulo. BR
  • Busin, Yuri; Mackenzie Presbyterian University. Center for Health and Biological Sciences. Developmental Disorders Program. São Paulo. BR
  • Lima, Helena Scoz da Cunha; Mackenzie Presbyterian University. Center for Health and Biological Sciences. Developmental Disorders Program. São Paulo. BR
  • Macedo, Elizeu Coutinho; Mackenzie Presbyterian University. Center for Health and Biological Sciences. Developmental Disorders Program. São Paulo. BR
Psicol. reflex. crit ; 33: 8, 2020. tab
Article in English | INDEXPSI, LILACS | ID: biblio-1135891
ABSTRACT
Abstract 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.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Students / Behavior, Addictive / Social Media / Smartphone / Loneliness Type of study: Observational study / Prevalence study / Prognostic study / Qualitative research / Risk factors Limits: Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Psicol. reflex. crit Journal subject: Psychology Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Mackenzie Presbyterian University/BR

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Full text: Available Index: LILACS (Americas) Main subject: Students / Behavior, Addictive / Social Media / Smartphone / Loneliness Type of study: Observational study / Prevalence study / Prognostic study / Qualitative research / Risk factors Limits: Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Psicol. reflex. crit Journal subject: Psychology Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Mackenzie Presbyterian University/BR