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

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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Prevalence of sleep deprivation; poor sleep quality and excessive daytime sleepiness, among health faculties students, at King Abdulaziz University in Jeddah, Saudi Arabia: a cross-sectional study

International Journal of Medicine in Developing Countries ◽

10.24911/ijmdc.51-1609687979 ◽

2021 ◽

pp. 1

Author(s):

Omar Nagadi ◽

Abdulaziz Alotaibi ◽

Ahmed Almutadares ◽

Turki Alamoudi ◽

Waleed Alqurashi ◽

...

Keyword(s):

Saudi Arabia ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Cross Sectional ◽

King Abdulaziz University

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Does poor sleep quality and excessive daytime sleepiness influence fear of falling among older adults? A cross-sectional study

Sleep and Biological Rhythms ◽

10.1007/s41105-021-00368-z ◽

2022 ◽

Author(s):

Viviane Akemi Kakazu ◽

Rafael Zambelli Pinto ◽

Vinicius Dokkedal-Silva ◽

Guilherme Luiz Fernandes ◽

Cynthia Gobbi ◽

...

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Fear Of Falling ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Cross Sectional

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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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Obstructive Sleep Apnea and Its Association with Sleep Quality, Daytime Sleepiness, Depression and Attention Span

Medicine & Health ◽

10.17576/mh.2021.1601.14 ◽

2021 ◽

Vol 16 (1) ◽

pp. 163-176

Author(s):

Suzaily Wahab ◽

Keyword(s):

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

P Value ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Attention Span ◽

Obstructive Sleep ◽

Impaired Attention

Obstructive sleep apnoea (OSA) has multiple physical and psychosocial effects on individuals. Therefore, this study aims to determine the sleep quality, daytime sleepiness, depression and attention span in patients with OSA. This was a cross-sectional study among patients who were recently diagnosed with OSA in a Malaysian hospital. The socio-demographic and clinical data, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Patients Health Questionnaire and Comprehensive Trail Making Test were used as instruments. Findings were analysed and presented using Chi-Square, One-Way ANOVA and Independent- Sample T-test statistical analyses. Most of the respondents presented with poor sleep quality and impaired attention span. Approximately, half of the respondents had excessive daytime sleepiness. There were significant associations between sleep quality and daytime sleepiness (p-value=0.051), daytime sleepiness with depression (p-value=0.049) and severity of OSA with depression (p-value=0.026). Daytime sleepiness was significantly associated with working status (p-value=0.009) and driving status (p-value=0.033). In conclusion, most patients with OSA had poor sleep quality, excessive daytime sleepiness, and impaired attention span. Hence, OSA should be diagnosed and treated early, particularly in patients who are still working and actively driving.

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Sleep Quality and Mood State in Resident Physicians during COVID-19 Pandemic

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18158023 ◽

2021 ◽

Vol 18 (15) ◽

pp. 8023

Author(s):

Chiara Costa ◽

Michele Teodoro ◽

Giusi Briguglio ◽

Ermanno Vitale ◽

Federica Giambò ◽

...

Keyword(s):

Sleep Quality ◽

Daytime Sleepiness ◽

Mood State ◽

Cross Sectional Study ◽

University Hospital ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Resident Physicians ◽

Novel Coronavirus

Since the novel coronavirus (SARS-CoV-2) has spread worldwide, healthcare workers—resident physicians in particular—have been hugely involved in facing the COVID-19 pandemic, experiencing unprecedented challenges in fighting the disease. We aimed to evaluate the prevalence of poor sleep quality, daytime sleepiness, and alterations in mood state profiles in this category. This cross-sectional study, conducted in 2020, enrolled 119 subjects from a university hospital in southern Italy. Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Profile of Mood States (POMS) questionnaires were administered to physicians divided into four areas: anesthesiology, medicine, service, and surgery. In the overall sample, approximately 45% reported poor sleep quality, although only nine subjects (8%) reported an ESS score that suggested excessive daytime sleepiness. Alterations in mood profiles were also observed; the Vigor and Fatigue factors were the most altered. In particular, anesthesiologists seem to be the most affected category, showing a profound decrease in Vigor with a concomitant increase in Fatigue. Considering the possible consequences of the COVID-19 pandemic, preventive measures should be adopted, especially those aimed at facilitating a better turnover of physicians, optimizing the working schedule, and improving the organization of work.

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P10‐12: Risk factors for poor sleep quality and excessive daytime sleepiness in late pregnancy: A preliminary analysis of a cross‐sectional survey

Respirology ◽

10.1111/resp.14150_799 ◽

2021 ◽

Vol 26 (S3) ◽

pp. 401-402

Keyword(s):

Risk Factors ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Preliminary Analysis ◽

Late Pregnancy ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional Survey ◽

Cross Sectional

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The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

BMC Psychiatry ◽

10.1186/s12888-021-03143-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hongyan Wang ◽

Xiaoling Dai ◽

Zichuan Yao ◽

Xianqing Zhu ◽

Yunzhong Jiang ◽

...

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

Sleep Quality ◽

Psychological Capital ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Related Factors ◽

Cross Sectional

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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