scholarly journals SARS-CoV-2 infection in health care workers: a retrospective analysis and model study

2020 ◽  
Author(s):  
Yansen Bai ◽  
Xuan Wang ◽  
Qimin Huang ◽  
Han Wang ◽  
David Gurarie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Night Shift ◽  
Hospital Setting ◽  
Stress Index ◽  
Poor Sleep ◽  
Working Pressure ◽  
Model Study ◽  
Retrospective Data Collection ◽  
Fundamental Research

ABSTRACTBackgroundThere had been a preliminary occurrence of human-to-human transmissions between healthcare workers (HCWs), but risk factors in the susceptibility for COVID-19, and infection patterns among HCWs have largely remained unknown.MethodsRetrospective data collection on demographics, lifestyles, contact status with infected subjects for 118 HCWs (include 12 COVID-19 HCWs) from a single-center. Sleep quality and working pressure were evaluated by Pittsburgh Sleep Quality Index (PSQI) and The Nurse Stress Index (NSI), respectively. Follow-up duration was from Dec 25, 2019, to Feb 15, 2020. Risk factors and transmission models of COVID-19 among HCWs were analyzed and constructed.FindingsA high proportion of COVID-19 HCWs had engaged in night shift-work (75.0% vs. 40.6%) and felt they were working under pressure (66.7% vs. 32.1%) than uninfected HCWs. COVID-19 HCWs had higher total scores of PSQI and NSI than uninfected HCWs. Furthermore, these scores were both positively associated with COVID-19 risk. An individual-based model (IBM) estimated the outbreak duration among HCWs in a non-typical COVID-19 ward at 62-80 days and the basic reproduction number R0 =1.27 [1.06, 1.61]. By reducing the average contact rate per HCW by a 1.35 factor and susceptibility by a 1.40 factor, we can avoid an outbreak of the basic case among HCWs.InterpretationPoor sleep quality and high working pressure were positively associated with high risks of COVID-19. A novel IBM of COVID-19 transmission is suitable for simulating different outbreak patterns in a hospital setting.FundingFundamental Research Funds for the Central Universities

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.

Association Between Sleep Quality and Subjective Fatigue in Night-Shift Nurses with Good and Poor Sleep

2018 ◽  
Vol 2 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Tomohisa Ichiba ◽  
Sofya Gorlova ◽  
Yoshinao Nagashima ◽  
Michiyo Aitake ◽  
Etsuro Hori ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Night Shift ◽  
Poor Sleep ◽  
Subjective Fatigue

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.

Serotonin variations and sleep disorders among shift workers. A cross-sectional study

2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Serotonin Level ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Shift Workers ◽  
Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

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 in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p &lt; 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

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 The Association between Sleep Quality and Type Two Diabetes at 20 Year Follow-up in the Southall And Brent REvisited (SABRE) Cohort: a Tri-ethnic Analysis

2020 ◽  
Author(s):  
Zhen Ling Ong ◽  
Nishi Chaturvedi ◽  
Therese Tillin ◽  
Caroline Dale ◽  
Victoria Garfield
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Sleep Quality ◽  
South Asians ◽  
Diabetes Risk ◽  
Poor Sleep ◽  
Falling Asleep ◽  
Traditional Risk Factors

Objective: The risk of developing type 2 diabetes associated with poor sleep quality is comparable to that of traditional risk factors (e.g. overweight, physical inactivity). In the United Kingdom, these traditional risk factors could not explain the two to three-fold excess risks in South Asian and African Caribbean men compared to Europeans. This study investigates the (i)the association between mid-life sleep quality and later-life type 2 diabetes risk and (ii)a potential modifying effect of ethnicity. Research Design and Methods: The Southall and Brent REvisited (SABRE) cohort comprised Europeans, South Asians, and African Caribbeans (median follow-up = 19 years). Complete case analysis was performed on 2190 participants without diabetes at baseline (age= 51.7 ± 7SD). Competing risks regressions were used to estimate the hazard ratios (HRs) of developing type 2 diabetes associated with four self-reported baseline sleep exposures (difficulty falling asleep, early morning waking, waking up tired and snoring) while adjusting for confounders. Modifying effects of ethnicity were analysed by (i) testing for interactions and (ii) performing ethnicity-stratified analysis. Results: Snoring was strongly associated with increased type 2 diabetes risk but only among South Asians in a fully-adjusted model (HR 1.42, 95%CI=1.08-1.85, P=0.011). Our results revealed no elevated risk for any of the sleep exposures across all three ethnic groups. Conclusions: The association between snoring and type 2 diabetes appeared to be modified by ethnicity, with South Asians at greatest risk.

scholarly journals Poor Sleep and Decision-Making Disturbance Are Associated With Suicidal Ideation in Pre-natal Depression

2021 ◽  
Vol 12 ◽  
Author(s):  
Ciqing Bao ◽  
Ling Xu ◽  
Weina Tang ◽  
Shiyu Sun ◽  
Wenmiao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Poor Sleep ◽  
Healthy Controls ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Post Natal Depression

Although many risk factors for suicidal ideation have been identified, few studies have focused on suicidal ideation and pre-natal depression. The purpose was to investigate the relationship between decision-making (DM) dysfunction and sleep disturbance on suicidal ideation in pre-natal depression. Participants included 100 women in the third trimester of pregnancy, including pregnant women with pre-natal depression who had recent suicidal ideation (n = 30), pre-natal depression without SI (n = 35) and healthy controls (n = 35). The Iowa Gambling Task (IGT) was used to evaluate the DM function and the Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep index. The Edinburgh Post-natal Depression Scale (EPDS) was used to assess suicidal ideation and the seriousness of depression. Overall, the two groups with pre-natal depression showed worse sleep quality and decreased DM function compared with healthy controls. The pre-natal depression with suicidal ideation group showed a significantly higher score in subjective sleep quality and a lower score in block 5 of IGT than the pre-natal depression without suicidal ideation group. Further correlation analysis showed that suicidal ideation positively correlated with subjective sleep quality, sleep duration, and daytime function, and negatively correlated with IGT scores. Sleep disturbance and impaired DM function may be risk factors for suicidal ideation in pre-natal depression.

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