Smartphone Addiction and its Impact on Insomnia among the Undergraduate Medical Students of a Teaching Hospital of Maharashtra, India- A Cross-sectional Study

Telgote, Shilpa Avinash; Ghogare, Ajinkya Sureshrao; Khadse, Vaibhav; Karwande, Swapnil Ganesh

doi:10.7860/jcdr/2021/52819.15753

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“…Some studies conducted within the Malaysian context have arrived at the same conclusion as well ( 18 , 25 ). Furthermore, ESU is associated with other psychological conditions such as obsessive-compulsive disorder (OCD) ( 26 ), attention deficit hyperactivity disorder (ADHD) ( 27 ), and insomnia ( 28 ). Moreover, more and more recent research has demonstrated a higher relationship between social anxiety and ESU ( 29 , 30 ).…”

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Excessive smartphone use and its correlations with social anxiety and quality of life among medical students in a public university in Malaysia: A cross-sectional study

et al. 2022

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IntroductionSmartphone usage has significantly increased in the last decade among young adults has significantly increased in the last decade. While its benefits are undeniable, its negative implications are increasingly emerging. Studies are needed to investigate the effects of excessive smartphone use on a young person's life. This study aimed to determine the prevalence of excessive smartphone use among medical students and its relations with social anxiety, self-esteem, and quality of life.MethodsA cross-sectional study was conducted among medical students from Universiti Kebangsaan Malaysia (UKM) in UKM Medical Center. A total of 273 students have consented to participate and completed self-reported questionnaires encompassing sociodemographic information, the Short Version Smartphone Addiction Scale (SAS-SV), the Social Interaction Anxiety Scale (SIAS), the World Health Organization Quality of Life (WHOQOL-BREF) and the Rosenberg Self-esteem Scale (RSES). Sociodemographic data, SIAS score, WHOQOL-BREF score and the Rosenberg Self-esteem Scale score were treated as independent variables. Smartphone addiction Scale score was treated as the dependent variable. Bivariate analysis was used to explore the relationship between independent and dependent variables using the Fisher exact test, Pearson Chi-Square and Pearson correlation coefficient. Multiple linear regression analysis was used to analyze the variables with a p-value of < 0.05 from the Pearson correlation coefficient test.ResultsThe percentage of excessive smarphone use among UKM medical students is 48%. The bivariate analysis showed that excessive smartphone use has a small but significant positive correlation with social anxiety (r = 0.173, p = 0.004) and negative correlations with physical health (r = −0.133, p = 0.028), psychological wellbeing (r =−0.135, p = 0.026), social relationships (r = −0.232, p = 0.001), environment (r = −0.260, p = 0.001) and self-esteem (r = −0.128, p = 0.035). In the multiple regression analysis, a better environment predicted a reduced risk for smartphone addiction (β = −0.233, p = 0.013).ConclusionAlmost half of the students were found to have smartphone overdependence. Excessive smartphone use has shown a significant relationship with an increased risk for social anxiety, reduction in self-esteem, and quality of life among medical students. A closer look into the possible intervention is needed in the future to curb the negative effects arising from excessive smartphone use.

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