The relationship between smartphone addiction and sleep quality in college students of the faculty of medicine, Sam Ratulangi university

Lie Anto, Herlyani Khosama, Mieke Kembuan


Background: Excessive smartphone use affects sleep quality. The purpose of this study was to see the relationship between smartphone usage and sleep quality.

Methods: Respondents were selected consecutively and asked to fill out the smartphone addiction scale-short version (SAS-SV), Pittsburgh sleep quality index (PSQI) questionnaires via google form and measure sleep quality objectively with sleep tracker (Fitbit charge 2™). Datas were analyzed using SPSS version 25.

Results: There were 62 subjects included in this study, the majority were women (74.2%), the average age was 21 years old. A total of 69.4% are addicted to smartphones. Assessment with PSQI found that 71% showed poor sleep quality, while with Fitbit charge 2™, good sleep quality was obtained, namely sleep latency (100%), sleep efficiency (75.8%), light sleep (61.3%), and deep sleep (82.3%). Waking 5 minutes (50%) is uncertain. Poor sleep quality, namely wake after sleep onset (WASO) by 77.4% and rapid eye movement (REM) by 59.7%. The relationship between smartphone addiction and subjective sleep quality (PSQI) was significant at p=0.007. Smartphone addiction and sleep quality measured by objective parameters seemed insignificant (wake up 5 minutes p=0.884, WASO p=0.848, sleep efficiency p=701, light sleep p=0.629, deep sleep p=0.240, REM p=0.638).

Conclusions: There is a relationship between smartphone addiction and sleep quality using subjective measurement (PSQI), but not with a sleep tracker.




Smartphone addiction, Sleep quality, PSQI, Fitbit charge 2™

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