Determinants of Sleep Quality among Undergraduate Students of Universities of Karachi

Khan, Fahad; Haroon, Husna; Murtaza, Hafsa; Anwar, Erum

doi:10.29052/2412-3188.v3.i1.2016.4-13

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…A higher proportion of poor sleep quality was found in students who using the internet for hobbies in weekend for more than 2 hours, (95%). In a previous study, it was measured that electronic devices used more than 4 times a week had a greater probability of sleep latency for more than one hour (34). There is another study with similar findings, which suggests that activities performed on such devices are related to delayed bedtimes 30,11,44 .…”

Section: Sleep and Screenmentioning

confidence: 84%

“…There was a positive association found in a research of colleges in Karachi, among sleep onset latency and technological device use before going to sleep. The mobile phone was found to be the most effective device 34 The list of most prominent number of mobile phone readers around the world, Pakistan is 10th on the list 35 . An increment from 300,000 (2001) to 90 million (2008) in Pakistan has been discovered 36 .…”

Section: Introductionmentioning

confidence: 99%

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Screen time and Sleep Quality among College and University Students of Karachi

Muhammad

Hussain²,

Adnan³

2021

J Health Biol Sci.

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Objectives: To assess the relationship between screen times and sleep quality of the age group 17-24. Methodology: This is a cross-sectional study. The study was conducted on students of Colleges and universities in Gulshan-e-Iqbal Town Karachi. A total of 600 undergraduate students were approached in colleges and universities of Gulshan Town, Karachi. The sampling technique was Multi Staged sampling. The research instrument comprised of 3 parts i) Demographic profile, ii) Sleep quality measures and iii) Screen time usage measures. Results: The mean total hour of sleep was 6.7 ± 1.5. The Mean Cumulative score of the components of the questionnaire was 7.47 ± 3.56, while 174 (29%) have Normal Sleep quality and 426 (71%) have poor sleep according to the questionnaire. The odds ratio suggests there were 4.23 times higher chances of poor sleep quality in students whose screen time was more than 2 hours on weekdays as compared to other students. (OR: 4.23, 95% CI: 2.66-6.72). The odds ratio suggests there were 24.15 times higher chances of poor sleep quality in students whose screen time was more than 2 hours on weekends as compared to other students (OR: 24.15,). Conclusion: As, negative impacts were determined within sleep quality, and increased screen watching of multiple versions of the devices (screen time), influencing the commended level of screen watching among university and college students (age 17-24) is an affair of public health.

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Section: Sleep and Screenmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Screen time and Sleep Quality among College and University Students of Karachi

Muhammad

Hussain²,

Adnan³

2021

J Health Biol Sci.

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“…Results from several epidemiological studies report insomnia prevalence rates ranging between 30% and 60% in this population. [7][8][9][10][11][12][13][14][15][16][17][18] Sleep deprivation, difficulty falling asleep, and interrupted sleep patterns are also very commonly reported complaints among university students. 8,[19][20][21]…”

Section: Introductionmentioning

confidence: 99%

Sleep Quality and Sleep Hygiene Behaviours Among University Students in Qatar

Ali¹,

Zolezzi²,

Awaisu³

et al. 2023

IJGM

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Background Insomnia is a highly prevalent health problem, affecting about one-third of the adult population globally. University students are at a high risk for developing insomnia due to the stressful nature of academic life and often unhealthy sleeping habits. The aim of this study was to explore the prevalence of poor sleep quality and investigate sleep hygiene patterns among university students in Qatar. Methods A cross-sectional study was conducted among university students using two validated instruments: the Pittsburgh Sleep Quality Index (PSQI) and the Sleep Hygiene Index (SHI). Data were analyzed using descriptive and inferential statistics, including correlation and multivariate regression analyses. Results Two thousand and sixty-two students responded to the web-based survey. The mean PSQI score (7.57±3.03) was indicative of poor sleep quality in approximately 70% of the students. Similarly, the mean SHI score (21.79±6.69) was indicative of poor sleep hygiene patterns in 79% of the students. Academic program type, marital status, gender, and sleep hygiene significantly influenced sleep quality. After controlling for all possible covariates in the multiple regression analysis, sleep hygiene remained as the only factor significantly predicting sleep quality. Students with a good sleep hygiene were about four times more likely to have a good sleep quality compared to those with poor sleep hygiene (adjusted OR= 3.66, 95% CI= 2.8–4.8, p <0.001). Conclusion Poor sleep quality and inadequate sleep hygiene practices were highly prevalent among university students in Qatar. Sleep hygiene was found to be the only significant predictor of sleep quality such that those adopting healthy sleep hygiene practices were more likely to have better sleep quality. Interventions to raise awareness on the effect of sleep hygiene on sleep quality among university students are needed.

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“…Probablemente se deba al uso de pantallas una hora antes de acostarse ya que aumenta el funcionamiento cognitivo y suprime la melatonina que repercute en el ciclo normal del sueño (39).…”

Section: Discussionunclassified

Adicción a internet y calidad de sueño en estudiantes de medicina de una universidad privada en Lima en el contexto de la pandemia por Covid 19

Ureta Valdez,

Llamoca Ramos

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OBJETIVO: Evaluar la asociación entre la calidad de sueño y adicción al internet en estudiantes de primer a sexto año de la carrera de medicina durante la pandemia por COVID-19. MÉTODOS: Se realizó un estudio transversal analítico. Participaron 405 estudiantes de medicina del primero al sexto año. Se usó la escala de calidad de sueño de Pittsburgh (PSQI), que clasifica a los participantes en aquellos con buena o mala calidad de sueño. La adicción al internet se midió mediante el test de adicción al Internet de Young (TAI) con las categorías de uso promedio de internet, uso problemático de internet y uso adictivo de internet. Se hizo la prueba de Chi2 y un modelo de regresión de Poisson para evaluar la asociación entre ambos. RESULTADOS: El 69,4% de participantes tuvo mala calidad de sueño y el 46,5% presentó un uso problemático/adictivo de internet. El análisis bivariado mostró asociación entre ambas (p<0,001). El modelo de regresión de Poisson mostró asociación entre mala calidad de sueño y uso problemático/adictivo de internet [RP (IC95%): 0,93 (0,89-0,97) (p=0,002)], así como con año académico [RP (IC95%): 1,27 (1,14-1,42) (p<0,001)]. CONCLUSIONES: La mala calidad de sueño estuvo asociada con el uso problemático/adictivo de Internet en estudiantes de medicina. Es importante implementar medidas para promover la higiene de sueño y el uso moderado de internet en los futuros profesionales de la salud.

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Determinants of Sleep Quality among Undergraduate Students of Universities of Karachi

Cited by 4 publications

References 32 publications

Screen time and Sleep Quality among College and University Students of Karachi

Screen time and Sleep Quality among College and University Students of Karachi

Sleep Quality and Sleep Hygiene Behaviours Among University Students in Qatar

Adicción a internet y calidad de sueño en estudiantes de medicina de una universidad privada en Lima en el contexto de la pandemia por Covid 19

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