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Problematic Smartphone Usage in Singaporean University Students: An Analysis of Self-Reported Versus Objectively Measured Smartphone Usage Patterns.
Teo, James Keng Hong; Chionh, Iris Yue Ling; Bin Shaul Hamed, Nasharuddin Akmal; Lai, Christopher.
Afiliação
  • Teo JKH; Health and Social Science Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
  • Chionh IYL; Health and Social Science Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
  • Bin Shaul Hamed NA; Health and Social Science Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
  • Lai C; Health and Social Science Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
Healthcare (Basel) ; 11(23)2023 Nov 24.
Article em En | MEDLINE | ID: mdl-38063601
INTRODUCTION: Problematic smartphone usage is the excessive usage of the smartphone, leading to addiction symptoms that impair one's functional status. Self-administered surveys developed to describe the symptoms and measure the risk of problematic smartphone usage have been associated with depressive symptoms, symptoms of anxiety disorder, and perceived stress. However, self-reported smartphone usage can be unreliable, and previous studies have identified a better association between objectively measured smartphone usage and problematic smartphone usage. METHODOLOGY: A self-administered survey was used to investigate the relationships between the risk of problematic smartphone usage (SAS-SV) with depressive symptoms (PHQ-9), anxiety disorder symptoms (GAD-7), and perceived stress (PSS) in Singaporean full-time university students. Self-reported screentime and objectively measured screentime were collected to determine if there is any difference between perceived smartphone usage and objective smartphone usage. RESULTS: There was no statistical difference between self-reported and app-measured screentime in the study population. However, there were significant positive correlations between SAS-SV with PHQ-9, GAD-7, and PSS. In the logistic regression model, PHQ-9 was found to be the sole predictor for variances in SAS-SV score in the study population. CONCLUSION: This study suggests that problematic smartphone usage may potentially related to depressive symptoms, symptoms of anxiety disorder, and greater perceived stress in university students.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article