The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort

Introduction: Problematic over usage of smartphones has led to various deteriorating effects including poor sleep quality. Screen exposure, especially near bedtime, directly leads to poor sleep quality. We aimed to measure smartphone screen-time (ST) statistics of the participants directly using a s...

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Main Authors: Daneyal Arshad, Usaid Munir Joyia, Sadaf Fatima, Noor Khalid, Anser Ikram Rishi, Naimat Ullah Abdul Rahim, Syed Faheem Bukhari, Gulfam Khan Shairwani, Ahmed Salmaan
Format: Article
Language:English
Published: Thieme Revinter Publicações Ltda.
Series:Sleep Science
Subjects:
Online Access:https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v14n4a06.pdf
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author Daneyal Arshad
Usaid Munir Joyia
Sadaf Fatima
Noor Khalid
Anser Ikram Rishi
Naimat Ullah Abdul Rahim
Syed Faheem Bukhari
Gulfam Khan Shairwani
Ahmed Salmaan
author_facet Daneyal Arshad
Usaid Munir Joyia
Sadaf Fatima
Noor Khalid
Anser Ikram Rishi
Naimat Ullah Abdul Rahim
Syed Faheem Bukhari
Gulfam Khan Shairwani
Ahmed Salmaan
author_sort Daneyal Arshad
collection DOAJ
description Introduction: Problematic over usage of smartphones has led to various deteriorating effects including poor sleep quality. Screen exposure, especially near bedtime, directly leads to poor sleep quality. We aimed to measure smartphone screen-time (ST) statistics of the participants directly using a smartphone application. Furthermore, we aimed to assess sleep quality using the Pittsburgh sleep quality index (PSQI), and to investigate the association between ST & PSQI. Material and Methods: This descriptive cohort study was conducted among 280 students of MBBS at Rawalpindi Medical University for a period of 1 month (30 days). Physically healthy students who owned Android smartphones were included in the study. Students with diagnosed sleep disorders and students taking sleep medication were excluded from the study. ST was recorded using a smartphone application. Sleep quality was assessed at the end of 30 days using the PSQI questionnaire. Data entry and analysis was done using SPSS v23.0. Results: Total and mean ST were calculated for every participant. The mean screen time of 242 individuals was 147.50±51.09 hours. The mean PSQI score was 6.68±2.3. 65.70% of the participants had a poor sleep quality (PSQI>5). Pearson’s correlation revealed that long total ST was associated with decreased sleep quality (R=0.356, p<0.001). Conclusion: Our findings are in accordance with previous scientific literature largely based on self-reported ST measurements and affirm that excessive ST deteriorates sleep quality and hence has numerous adverse physical and psychological manifestations.
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spelling doaj.art-3bcf828562734529bcb0897c122c3b752024-01-02T03:40:19ZengThieme Revinter Publicações Ltda.Sleep Science1984-06591984-0063144337341000610.5935/1984-0063.20200114The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohortDaneyal ArshadUsaid Munir JoyiaSadaf FatimaNoor KhalidAnser Ikram RishiNaimat Ullah Abdul RahimSyed Faheem BukhariGulfam Khan ShairwaniAhmed SalmaanIntroduction: Problematic over usage of smartphones has led to various deteriorating effects including poor sleep quality. Screen exposure, especially near bedtime, directly leads to poor sleep quality. We aimed to measure smartphone screen-time (ST) statistics of the participants directly using a smartphone application. Furthermore, we aimed to assess sleep quality using the Pittsburgh sleep quality index (PSQI), and to investigate the association between ST & PSQI. Material and Methods: This descriptive cohort study was conducted among 280 students of MBBS at Rawalpindi Medical University for a period of 1 month (30 days). Physically healthy students who owned Android smartphones were included in the study. Students with diagnosed sleep disorders and students taking sleep medication were excluded from the study. ST was recorded using a smartphone application. Sleep quality was assessed at the end of 30 days using the PSQI questionnaire. Data entry and analysis was done using SPSS v23.0. Results: Total and mean ST were calculated for every participant. The mean screen time of 242 individuals was 147.50±51.09 hours. The mean PSQI score was 6.68±2.3. 65.70% of the participants had a poor sleep quality (PSQI>5). Pearson’s correlation revealed that long total ST was associated with decreased sleep quality (R=0.356, p<0.001). Conclusion: Our findings are in accordance with previous scientific literature largely based on self-reported ST measurements and affirm that excessive ST deteriorates sleep quality and hence has numerous adverse physical and psychological manifestations.https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v14n4a06.pdfsleep hygienesleep initiation and maintenance disorderssmartphonescreen time
spellingShingle Daneyal Arshad
Usaid Munir Joyia
Sadaf Fatima
Noor Khalid
Anser Ikram Rishi
Naimat Ullah Abdul Rahim
Syed Faheem Bukhari
Gulfam Khan Shairwani
Ahmed Salmaan
The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
Sleep Science
sleep hygiene
sleep initiation and maintenance disorders
smartphone
screen time
title The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
title_full The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
title_fullStr The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
title_full_unstemmed The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
title_short The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort
title_sort adverse impact of excessive smartphone screen time on sleep quality among young adults a prospective cohort
topic sleep hygiene
sleep initiation and maintenance disorders
smartphone
screen time
url https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v14n4a06.pdf
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