Prevalence and risk factors of poor sleep quality among Inner Mongolia Medical University students: A cross-sectional survey

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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Prevalence and risk factors of poor sleep quality and fatigue during exam periods in university students

10.1183/23120541.sleepandbreathing-2017.p2 ◽

2017 ◽

Cited By ~ 1

Author(s):

Izolde Bouloukaki ◽

George Stathakis ◽

Athina Koloi ◽

Ekaterini Bakiri ◽

Maria Moudatsaki ◽

...

Keyword(s):

Risk Factors ◽

University Students ◽

Sleep Quality ◽

Poor Sleep ◽

Poor Sleep Quality

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Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

The Open Public Health Journal ◽

10.2174/1874944501811010369 ◽

2018 ◽

Vol 11 (1) ◽

pp. 369-375 ◽

Cited By ~ 1

Author(s):

Sofa D. Alfian ◽

Henry Ng ◽

Dika P. Destiani ◽

Rizky Abdulah

Keyword(s):

Psychological Distress ◽

Sleep Quality ◽

Undergraduate Students ◽

Cross Sectional Study ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional Survey ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

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Qualidade do sono e sonolência diurna em estudantes universitários: prevalência e associação com determinantes sociais

Revista Brasileira de Educação Médica ◽

10.1590/1981-5271v45.2-20200182 ◽

2021 ◽

Vol 45 (2) ◽

Author(s):

Mayonara Fabíola Silva Araújo ◽

Xaíze de Fátima de Medeiros Lopes ◽

Carolina Virginia Macedo de Azevedo ◽

Diego de Sousa Dantas ◽

Jane Carla de Souza

Keyword(s):

University Students ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Cross Sectional Study ◽

Determinants Of Health ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

The University

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.

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The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: a cross-sectional study

10.21203/rs.2.11825/v1 ◽

2019 ◽

Author(s):

Zhao Hu ◽

Xidi Zhu ◽

Yunhan Yu ◽

Huilan Xu

Keyword(s):

Risk Factors ◽

Social Support ◽

Chronic Disease ◽

Nursing Homes ◽

Sleep Quality ◽

Cross Sectional Study ◽

Poor Sleep ◽

Elderly Adults ◽

Poor Sleep Quality ◽

Cross Sectional

Abstract Background: Sleep problems have become the most common complaints among elderly adults. There are a few studies indentified prevalence of poor sleep quality and its associated factors in nursing home setting.Therefore, our study aim to examine the prevalence of poor sleep quality, its risk factors, and their interactions among Chinese elderly adults in nursing homes. Methods: A total of 817 elderly residents from 24 nursing homes were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) between risk factors and poor sleep quality. An additional interaction model was used to analyse the interaction between risk factors. Results: The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among elderly adults in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70-79 years old (AOR: 1.81, 95% CI: 1.10, 2.97) or 80 years old and above (AOR: 2.64, 95% CI: 1.67, 4.17); having less than 7 years of education (AOR: 1.59, 95% CI: 1.08, 2.33); having one to two kinds of chronic diseases (AOR: 2.26, 95% CI: 1.53, 3.32) or three or more kinds of chronic disease (AOR: 2.81, 95% CI: 1.65, 4.76); having depression (AOR: 3.13, 95% CI: 2.04, 4.81), anxiety (AOR: 3.42, 95% CI: 1.68, 6.97), and lower social support (AOR: 1.57, 95% CI: 1.11, 2.21). Additive interactions were detected between age and anxiety (AOR: 8.34, 95% CI: 4.43, 15.69), between chronic disease and anxiety (AOR: 8.61, 95% CI; 4.28, 17.31) and between social support and anxiety (AOR: 6.43, 95% CI: 3.22, 12.86). Conclusions: The prevalence of poor sleep quality in nursing homes is relatively high. Anxiety has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

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Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 epidemic in China: a web-based cross-sectional survey

10.21203/rs.3.rs-17172/v1 ◽

2020 ◽

Cited By ~ 7

Author(s):

Yeen Huang ◽

Ning Zhao

Keyword(s):

Mental Health ◽

Depressive Symptoms ◽

Sleep Quality ◽

Healthcare Workers ◽

Influence Factors ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Web Based

Abstract Background China has been severely affected by COVID-19 (Corona Virus Disease 2019) since December, 2019. This study aimed to assess the population mental health burden during the epidemic, and to explore the potential influence factors. Methods Using a web-based cross-sectional survey, we collected data from 7,236 self-selected volunteers assessed with demographic information, COVID-19 related knowledge, Generalized Anxiety Disorder-7 (GAD-7), Center for Epidemiology Scale for Depression (CES-D), and Pittsburgh Sleep Quality Index (PSQI). Logistic regressions were used to identify influence factors associated with mental health problem. Results Of the total sample analyzed, the overall prevalence of GAD, depressive symptoms, and sleep quality were 35.1%, 20.1%, and 18.2%, respectively. Young people reported a higher prevalence of GAD and depressive symptoms than older people ( P <0.001). Compared with other occupational group, healthcare workers have the highest rate of poor sleep quality ( P <0.001). Multivariate logistic regression showed that age (< 35 years) and times to focus on the COVID-19 (≥ 3 hours per day) were associated with GAD, and healthcare workers were associated with poor sleep quality. Conclusions Our study identified a major mental health burden of the public during COVID-19 epidemic in China. Young people, people who spent too much time on the epidemic, and healthcare workers were at high risk for mental illness. Continuous surveillance and monitoring of the psychological consequences for outbreaks should become routine as part of preparedness efforts worldwide.

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Association of sociodemografic factors and sleep quality in brazilian university students

Texto & Contexto - Enfermagem ◽

10.1590/s0104-07072014000100021 ◽

2014 ◽

Vol 23 (1) ◽

pp. 176-184 ◽

Cited By ~ 1

Author(s):

Márcio Flávio Moura de Araújo ◽

Adman Câmara Soares Lima ◽

Thiago Moura de Araújo ◽

Vivian Saraiva Veras ◽

Maria Lúcia Zanetti ◽

...

Keyword(s):

University Students ◽

Sleep Quality ◽

Pittsburgh Sleep Quality Index ◽

Sociodemographic Factors ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Linear Trends

The aim of this study was to analyze relationship between sociodemographic factors and poor sleep quality in Brazilian university students. Cross-sectional study, surveyed 701 students in Fortaleza, Ceará, Brazil. We applied a questionnairre with sociodemographic questions and Pittsburgh Sleep Quality Index. We did not identify associations and/or statistically significant linear trends between sleep quality and sociodemographic analyzed factors. However, the analysis found that the relative risk in college aged > 31 years, in those who lived alone and with relatives (other than parents) there is greater vulnerability to poor sleep quality.

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Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction

Pakistan Journal of Medical Sciences ◽

10.12669/pjms.37.1.3130 ◽

2020 ◽

Vol 37 (1) ◽

Author(s):

Betul Ozcan ◽

Nurhan Meydan` Acimis

Keyword(s):

University Students ◽

Sleep Quality ◽

Cross Sectional Study ◽

Smartphone Addiction ◽

Short Version ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Creative Commons

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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