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

2017 ◽  
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

scholarly journals Poor sleep quality and its related risk factors among university students

2021 ◽  
Vol 10 (4) ◽  
pp. 4479-4485
Author(s):  
Xiaohong Liu ◽  
Lin Lang ◽  
Rui Wang ◽  
Wangyang Chen ◽  
Xiaohua Ren ◽  
...  
Keyword(s):  
Risk Factors ◽  
University Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Related Risk

scholarly journals 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

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.

scholarly journals Association between Cluster of Lifestyle Behaviors and HOMA-IR among Adolescents: ABCD Growth Study

Medicina ◽  
2018 ◽  
Vol 54 (6) ◽  
pp. 96 ◽  
Author(s):  
André Werneck ◽  
Ricardo Agostinete ◽  
Suziane Cayres ◽  
Jacqueline Urban ◽  
Andréa Wigna ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Poor Sleep Quality ◽  
Growth Study ◽  
Tv Viewing ◽  
Body Fatness ◽  
Skipping Breakfast

Objective: To analyze the association of potential risk factors to health with body fatness and insulin resistance. Baseline measures of the ongoing longitudinal Analysis of Behaviors of Children During (ABCD) Growth Study. Materials and Methods: The sample was composed of 280 adolescents of both sexes (198 boys and 82 girls) aged from 10 to 18 years. Four risk factors were considered, as follows: no sports practice, skipping breakfast, poor sleep quality, and TV viewing. The outcomes considered were insulin resistance (HOMA-IR) and body fatness (densitometer scanner). Age, sex, maturity offset, and ethnicity were treated as covariates. Results: No sports practice and skipping breakfast were associated with higher body fatness (Sports practice: Wald: 8.786; p = 0.003. Breakfast: Wald: 9.364; p = 0.002). Poor sleep quality was related to a greater HOMA-IR index (Wald: 6.013; p = 0.014). Adolescents with ≥3 risk factors presented a higher risk of high HOMA-IR (OR = 4.89 (95%CI: 1.61 to 14.84)) than their counterparts with no risk factors. Conclusion: Lifestyle risk factors seem relevant to affect obesity and insulin resistance, while the aggregation of these risk factors affects insulin resistance, independent of adiposity.

scholarly journals Prevalence of Mental Distress and Associated Factors among Samara University Students, Northeast Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Robel Tesfaye Kelemu ◽  
Alemayehu Bayray Kahsay ◽  
Kedir Y. Ahmed
Keyword(s):  
Health Services ◽  
University Students ◽  
Sleep Quality ◽  
Associated Factors ◽  
Mental Distress ◽  
Female Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Northeast Ethiopia ◽  
Self Reporting Questionnaire

Background. Empirical findings have indicated that higher institution students experience a higher prevalence of mental distress compared to the general population. Understanding the magnitude and associated factors of mental distress in university students would be helpful to practitioners and policymakers in Ethiopia. The aim of the present study was to examine the prevalence and associated factors of mental distress among Samara university students, Northeast Ethiopia. Methods. Institution based cross-sectional study design was conducted in Samara university from December to June 2018. A simple random sampling technique was employed to select the study participants. Self-Reporting Questionnaire-20 (SRQ-20) was used to measure the mental distress of students. Multivariable logistic regression modeling was used to examine the association between sociodemographic and psychosocial factors with the mental distress of students. Results. The proportion of students with mental distress were found to be 53.2% (95% confidence interval [CI]: 48.0%, 58.0%). Female students were more likely to be mentally distressed compared to male students (adjusted odds ratio [AOR]: 4.66; 95% CI: 2.81, 7.71). Ever khat use (AOR: 3.09; 95% CI: 1.74, 5.50) and poor sleep quality (AOR: 2.23; 95% CI: 1.12, 3.66) were significantly associated with mental distress of students. Conclusion. Our study indicates that the proportion of mental distress was found to be higher among Samara university students as compared to previously published studies in Ethiopia. Female students, ever khat users and those with poor sleep quality were associated with mental distress. There is a need for evidence-based interventional strategies such as self-help measures, sleep hygiene and peer support, as well as professional mental health services as part of student health services that would be helpful to reduce the burden of mental distress of students.

scholarly journals Fatores de risco cardiovasculares e qualidade de vida em universitários

2018 ◽  
Vol 12 (10) ◽  
pp. 2743
Author(s):  
Ankilma Do Nascimento Andrade ◽  
Maria Enoi Gadelha Vale ◽  
Marta Ligia Vieira Melo ◽  
Ubiraídys De Andrade Isidório ◽  
Milena Nunes Alves de Sousa ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Cardiovascular Diseases ◽  
University Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Calidad De Vida ◽  
Significant Difference ◽  
Factores De Riesgo

RESUMO Objetivo: avaliar a associação dos fatores de risco para as doenças cardiovasculares e qualidade de vida em universitários que trabalham. Método: trata-se de um estudo quantitativo, transversal e analítico, com 40 discentes. Analisaram-se os dados no SPSS 21. Resultados: 55% da amostra possuem qualidade de sono ruim e que 15% distúrbio do sono. Quanto ao nível de atividade física, 65% dos que trabalham foram classificados com sedentários. Com relação aos domínios de “dor”, foi observada uma diferença estatisticamente significativa (p = 0,01) apontando que os universitários que trabalham apresentam mais dor. Conclusão: mesmo em uma população de adultos jovens, observou-se o estado de vulnerabilidade para o desenvolvimento de DCV, sendo preocupantes, entre os universitários que trabalham, o nível da qualidade de sono e o sedentarismo observados, que podem comprometer a saúde e a qualidade de vida dessa população. Descritores: Doenças Cardiovasculares; Estudantes; Fatores de Risco; Qualidade de vida; Doença Crônica; Sexo,ABSTRACT Objective: to evaluate the association of risk factors for cardiovascular diseases and quality of life among working university students. Method: this is a quantitative, transversal and analytical study with 40 students. Data were analyzed in SPSS 21. Results: 55% of the sample had poor sleep quality and 15% had sleep disturbance. Regarding the level of physical activity, 65% of those who work were classified as sedentary. Regarding the "pain" domains, a statistically significant difference (p = 0.01) was observed, indicating that the working university students presented more pain. Conclusion: Even in a population of young adults, the vulnerability to the development of CVD was observed, and the level of sleep quality and sedentary lifestyle observed among the working university students, which may compromise health and quality of life of this population. Descriptors: Cardiovascular Diseases; Students; Risk Factors; Quality of Life; Chronic Disease; Sex.RESUMEN Objetivo: evaluar la asociación de los factores de riesgo para las enfermedades cardiovasculares y la calidad de vida en los universitarios que trabajan. Método: se trata de un estudio cuantitativo, transversal y analítico, con 40 discentes. Se analizaron los datos en el SPSS 21. Resultados: el 55% de la muestra tiene una mala calidad de sueño y el 15% de los trastornos del sueño. En cuanto al nivel de actividad física, el 65% de los que trabajan fueron clasificados como sedentarios. Con respecto a los dominios de "dolor", se observó una diferencia estadísticamente significativa (p = 0,01) apuntando que los universitarios que trabajan presentan más dolor. Conclusión: incluso en una población de adultos jóvenes, se observó el estado de vulnerabilidad para el desarrollo de ECV, siendo preocupantes, entre los universitarios que trabajan, el nivel de la calidad de sueño y el sedentarismo observados, que pueden comprometer la salud y la calidad de vida de esa población. Descritores: Enfermedades Cardiovasculares; Estudiantes; Factores de Riesgo; Calidad de Vida; Doença Crónica; Sexo.

scholarly journals Sleep quality and body weight status of Malaysian university students

2020 ◽  
Vol 26 (3) ◽  
pp. 461-470
Author(s):  
Nurul Fareeza Suhaimi ◽  
◽  
Zuriati Ibrahim ◽  
Siti Nur ‘Asyura Adznam ◽  
Sabariah Md Noor ◽  
...  
Keyword(s):  
Body Weight ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Weight Status ◽  
Sleep Latency ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Body Weight Status ◽  
Normal Body Weight

Introduction: Inadequate sleep duration is a modifiable behaviour linked with body weight, yet limited is known on the role of sleep quality with body weight status among university students. The study aimed to determine sleep quality and its association with body weight status among university students. Methods: A crosssectional study was conducted among 240 university students (24.6% males, 75.4% females) with a mean age of 21.22±1.24 years. Subjects were recruited from four faculties of University Putra Malaysia (UPM). Information on socio-demographic, sleep quality and anthropometric measurements were collected. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, whereby a summation score from seven components yielded a global score on sleep quality, with higher scores indicating poor sleep quality. Results: Majority of subjects were Malay (79.2%) with a mean body mass index of 22.6kg/m2. A majority (61.3%) had normal body weight, with the prevalences of underweight (UW), overweight (OW), and obesity (OB) at 12.9%, 19.6% and 6.3%, respectively. The mean global PSQI score was 5.76±2.64, with half of the respondents (50.4%) experiencing poor sleep quality. OW-OB experienced poorer sleep quality (6.53±2.79, p=0.004) and longer sleep latency (1.34±0.10, p=0.008) relative to UW-NW. OB subjects had substantially more frequent sleep disturbances compared to non-OB subjects (1.53±0.64, p=0.012). Conclusion: Findings suggest that OW-OB students at university are at a greater risk of having reduced sleep quality with longer sleep latency and frequent sleep disturbances. There is a need for a wellness initiative to reduce the incidence of obesity while fostering healthier sleeping habits among university students.

scholarly journals Poor sleep quality, long working hours and fatigue in coastal areas: a dangerous combination of silent risk factors for deck officers on oil tankers

2020 ◽  
Vol 71 (4) ◽  
pp. 237-248
Author(s):  
Farhad Azimi Yancheshmeh ◽  
S. Hossain Mousavizadegan ◽  
Amin Amini ◽  
Andrew P. Smith ◽  
Reza Kazemi
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Working Hours ◽  
Coastal Areas ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Long Working Hours ◽  
Oil Tankers

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

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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