A systematic review of studies on the prevalence of Insomnia in university students

Jiang, Xiaoling; Zheng, Xue; Jiao, Yang; Ye, C.-p.; Chen, Y.-y.; Zhang, Z.-g.; Xiao, Zhongju

doi:10.1016/j.puhe.2015.07.030

Cited by 138 publications

(85 citation statements)

References 54 publications

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“…These variables, selected after literature review [1, 3, 15], are not an exhaustive collection of correlates but include major correlates of sleep quality, internet addiction and depressive symptoms among students. We categorized castes into two groups ‘Brahmin/Chhetri’ and ‘Others’.…”

Section: Methodsmentioning

confidence: 99%

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Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal

et al. 2017

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BackgroundEvidence on the burden of depression, internet addiction and poor sleep quality in undergraduate students from Nepal is virtually non-existent. While the interaction between sleep quality, internet addiction and depressive symptoms is frequently assessed in studies, it is not well explored if sleep quality or internet addiction statistically mediates the association between the other two variables.MethodsWe enrolled 984 students from 27 undergraduate campuses of Chitwan and Kathmandu, Nepal. We assessed sleep quality, internet addiction and depressive symptoms in these students using Pittsburgh Sleep Quality Index, Young’s Internet Addiction Test and Patient Health Questionnaire-9 respectively. We included responses from 937 students in the data analysis after removing questionnaires with five percent or more fields missing. Via bootstrap approach, we assessed the mediating role of internet addiction in the association between sleep quality and depressive symptoms, and that of sleep quality in the association between internet addiction and depressive symptoms.ResultsOverall, 35.4%, 35.4% and 21.2% of students scored above validated cutoff scores for poor sleep quality, internet addiction and depression respectively. Poorer sleep quality was associated with having lower age, not being alcohol user, being a Hindu, being sexually active and having failed in previous year’s board examination. Higher internet addiction was associated with having lower age, being sexually inactive and having failed in previous year’s board examination. Depressive symptoms were higher for students having higher age, being sexually inactive, having failed in previous year’s board examination and lower years of study. Internet addiction statistically mediated 16.5% of the indirect effect of sleep quality on depressive symptoms. Sleep quality, on the other hand, statistically mediated 30.9% of the indirect effect of internet addiction on depressive symptoms.ConclusionsIn the current study, a great proportion of students met criteria for poor sleep quality, internet addiction and depression. Internet addiction and sleep quality both mediated a significant proportion of the indirect effect on depressive symptoms. However, the cross-sectional nature of this study limits causal interpretation of the findings. Future longitudinal study, where the measurement of internet addiction or sleep quality precedes that of depressive symptoms, are necessary to build upon our understanding of the development of depressive symptoms in students.

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Section: Methodsmentioning

confidence: 99%

“…Prevalence rate of poor sleep quality [1], internet addiction [2] and depressive symptoms [3] is high among undergraduate students worldwide. In Nepal, mobile penetration rate has crossed cent percent while the internet penetration rate alone has reached 54.34% [4].…”

Section: Introductionmentioning

confidence: 99%

Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal

et al. 2017

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“…[2][3][4][5][6] When using the ICSD-3 diagnostic criteria the prevalence of chronic insomnia is 9% 7 8 to 12%, 3 9 with transient symptoms of insomnia reported in 22-35% of the population. [3][4][5][6][7][8][9][10] The incidence of chronic insomnia in community dwelling adults in the United States, United Kingdom, and Taiwan has been reported to be 2.3-7.3% per year.…”

Section: Incidence and Prevalencementioning

confidence: 99%

Advances in the management of chronic insomnia

Kay-Stacey

Attarian

2016

BMJ

109

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Chronic insomnia is a common condition that affects people worldwide and has negative effects on patients' health and wellbeing. The treatment of insomnia can be complex and time consuming for patients and providers. Although behavioral interventions are the first line therapy, there are barriers to access for these treatments. However, in recent years, alternative ways of providing these behavioral therapies that make them more widely available have been investigated. Drugs also play an important role in the treatment of insomnia and new drugs have been introduced as options for treating patients with sleep initiation and sleep maintenance insomnia. In this review, we will discuss advances in the past six years in both non-pharmacologic and pharmacologic treatments for patients with chronic insomnia. We will also review the controversies surrounding some of the current drug treatments, as well as the role that technology and personal activity monitoring devices may play in treating insomnia.

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“…A systematic review of 7 studies by Jiang et al [9] shows that the prevalence of insomnia among university students is ranging from 9.4% to 38.2%. Furthermore, 32.5% to 62.3% university students in Nigeria, Libya, and Egypt suffered from insomnia [10–12].…”

Section: Introductionmentioning

confidence: 99%

Insomnia and Its Temporal Association with Academic Performance among University Students: A Cross-Sectional Study

Haile

Alemu

2017

BioMed Research International

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Introduction Studies show that 9.4% to 38.2% of university students are suffering from insomnia. However, research data in developing countries is limited. Thus, the aim of the study was to assess insomnia and its temporal association with academic performance. Methods and Materials Institution based cross-sectional study was conducted with 388 students at Debre Berhan University. Data were collected at the nine colleges. Logistic and linear regression analysis was performed for modeling insomnia and academic performance with a p value threshold of 0.05, respectively. Data were entered using EPI-data version 3.1 and analyzed using SPSS version 20. Results The prevalence of insomnia was 61.6%. Field of study (p value = 0.01), worshiping frequency (p value = 0.048), marital status (p value = 0.03), and common mental disorder (p value < 0.001) were identified associated factors of insomnia. There was no significant association between insomnia and academic performance (p value = 0.53, β = −0.04). Insomnia explained 1.2% (r2 = 0.012) of the difference in academic performance between students. Conclusions Nearly 3 out of 5 students had insomnia. We recommended that universities would endorse sleep quality and mental health illness screening programs for students.

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A systematic review of studies on the prevalence of Insomnia in university students

Cited by 138 publications

References 54 publications

Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal

Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal

Advances in the management of chronic insomnia

Insomnia and Its Temporal Association with Academic Performance among University Students: A Cross-Sectional Study

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