Predictors of problematic smartphone use among university students
Laurence PG, Busin Y, da Cunha Lima HS, Macedo EC
Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 13 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- Government
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Government
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Government
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Government
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR)
- Government
- Fundação de Amparo à Pesquisa do Estado de São Paulo (BR)
- Grants
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (309453/2011-9); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (309453/2011-9); Conselho Nacional de Desenvolvimento Científico e Tecnológico (2018/09654-7); Fundação de Amparo à Pesquisa do Estado de São Paulo (2018/09654-7); Fundação de Amparo à Pesquisa do Estado de São Paulo (2018/06039-0)
Based on 5 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2020-05-19 · Psicol Reflex Crit · vol. 33 · issue 1 · p. 8
- Publisher
- Springer Science+Business Media
- Cited
- 37 citations · more than 98% of similar papers · 8.6× the field average
- Impact
- Top 10% most cited in its field
- References
- 58 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Impact of Technology on Adolescents · Child Development and Digital Technology · Social Media and Politics
- Keywords
- smartphone addiction, university students, loneliness, messaging apps, Instagram, Snapchat, WhatsApp, Facebook, iPhone, gender differences, predictors of addiction
4 authors
From BR
- Paulo Guirro Laurence · correspondingUniversidade Presbiteriana Mackenzie
- Yuri BusinUniversidade Presbiteriana Mackenzie
- Helena S. Cunha LimaUniversidade Presbiteriana Mackenzie
- Elizeu Coutinho de MacedoUniversidade Presbiteriana Mackenzie
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.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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