Sleep quality and its predictors among hospital-based nurses: a cross-sectional study

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

INTRODUCTION AND AIMS

In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses.

METHODS

A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software.

RESULTS

Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes.

CONCLUSIONS

Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

The relationship between sleep quality and anxiety and depression among older caregivers of centenarians in China: A cross-sectional study

To explore the relationship between sleep quality and anxiety and depression in older caregivers. From April 2020 to November 2022, GAD-7, GDS-15, and PSQI were used to measure anxiety, depression, and sleep quality. The correlation of each variable was explored by regression analysis. Among 442 caregivers ≥ 65 years old, the prevalence of sleep disorders, anxiety, and depression was 40.5 %, 20.2 %, and 26.4 %. After adjustment for multiple potential confounders, anxiety (OR1.1; 95 % CI 1-1.2) and depression (OR 1.29; 95 % CI 1.21-1.38) were associated with sleep disorders. Daytime dysfunction components of PSQI measurements were associated with anxiety(P < 0.05). Meanwhile, sleep efficiency, sleep medication use, and daytime dysfunction components of PSQI measurements were associated with depression(P < 0.05). Therefore, the sleep quality of older caregivers is strongly related to anxiety and depression. It is necessary to provide sleep guidance or professional intervention for older caregivers to reduce anxiety and depression.

Predictive factors of sleep quality and burnout in nurses working in transplant units during the COVID-19 lockdown - A cross-sectional study

Background: There is minimal information regarding sleep disturbance and burnout during COVID-19 in nurses working within haematology-oncology and hematopoietic stem cell transplantation (HSCT) settings.Aim: To identify socio-demographic and professional factors that predicted burnout and sleep disturbance during COVID-19 in nurses working in HSCT settings.Design/Methods: Data were collected using the Maslach Burnout Inventory and the Pittsburgh Sleep Quality Index. Descriptive statistics and linear regression examined relationships.Results: 308 responses were received. Nurses working in outpatient settings had greater emotional exhaustion (Rpartial = -0.12, n = 308, p = 0.03). Negative predictors for quality of sleep were transplant programme setting (Rpartial = -0.19, n = 308, p < 0.01) and years working in HSCT (Rpartial = -0.17, n = 308, p < 0.01). Other relationships were found on univariate analysis.Conclusion: Institutions must offer programmes for nurses to develop sleep strategies, self-care, and work-related stress management.

Assessment of sleep quality and its factors among clinicians working in critical care units and operation theaters at North West Ethiopia, 2022: a multicenter cross-sectional study

The quality of sleep has an effect on the health of clinicians and the quality of patient care. Maintaining cognitive function/mood, facilitation of glucose metabolism, and strengthening of the immune system are among the roles that adequate sleep may contribute. Poor sleep quality is multifactorial, and studies had shown inconsistencies in the factors that contribute to the development of this poor sleep quality. The prevalence of poor sleep quality among clinicians working in the critical care unit and operation theater in the study setting was not investigated yet.

OBJECTIVE

The objective of this study was conducted for the purpose of assessing the quality of sleep and associated factors among clinicians working in the critical care unit and operation theater.

METHODS

A cross-sectional study was conducted from 15 May to 15 June 2022. Data were collected using a self-administered questionnaire from 421 clinicians selected by simple random sampling techniques. Sleep quality was measured by the Pittsburg sleep quality index. The data were entered into Epi-data and exported to SPSS. Frequency and percentage were used for the descriptive analysis. Binary and multivariate logistic regression analysis were used to identify factors associated with poor quality of sleep. The strength of the association was measured with an OR within the 95% CI and P-value of <0.05.

RESULT

About half 220 (52.3%) of the study participants age between 25 and 30 year old and the majority 321 (76.2%) of them were males. The prevalence of poor sleeps quality was 81.5% (95% CI: 77.9-85.5). Working night shift (AOR: 3.37, 95% CI: 1.754-6.484), having depressive symptoms (AOR: 3.25, 95% CI: 1.485-7.147) and having no regular exercises (AOR: 0.299, 95% CI: 0.166-0.537) were predisposing factors for poor sleep quality.

CONCLUSION AND RECOMMENDATION

The prevalence of poor sleep quality among clinicians working in the ICU and operation room was high. Clinicians who had no regular exercise, who worked in night shift, and who had depressive symptoms were associated with poor quality of sleep. Clinicians should have an awareness on the symptoms of depression, implement sleep hygiene education programs and promoting regular exercise. The authors recommend healthcare policy makers for improving working schedules.

Life Habits of Healthcare Professionals during the Third Wave of COVID-19: A Cross-Sectional Study in a Spanish Hospital

(1) Background: To describe sleep quality, eating behaviour and alcohol, tobacco and illicit drug use among healthcare staff in a Spanish public hospital. (2) Methods: Cross-sectional descriptive study examining sleep quality (Pittsburg Sleep Quality Index), eating behaviour (Three Factor Eating Questionnaire (R18)), tobacco and drug use (ESTUDES questionnaire) and alcohol use (Cut down, Annoyed, Guilty, Eye-opener). (3) Results: 178 people, of whom 87.1% (155) were women, with an average age of 41.59 ± 10.9 years. A total of 59.6% of the healthcare workers had sleep problems, to a greater or lesser degree. The average daily consumption was 10.56 ± 6.74 cigarettes. The most commonly used drugs included cannabis, occasionally used by 88.37%, cocaine (4.75%), ecstasy (4.65%) and amphetamines (2.33%). A total of 22.73% of participants had increased their drug use, and 22.73% had increased their consumption during the pandemic, with beer and wine accounting for 87.2% of drinks consumed during this period. (4) Conclusions: In addition to the psychological and emotional impact already demonstrated, the COVID-19 crisis has repercussions on sleep quality, eating behaviour and alcohol, tobacco and drug consumption. Psychological disturbances have repercussions on physical and functional aspects of healthcare workers. It is feasible that these alterations are due to stress, and it is necessary to act through treatment and prevention as well as promote healthy habits.

Quality of life and its health and occupational determinants among hospital-based nurses during the COVID-19 pandemic

BACKGROUND

Nurses worldwide were exposed to increased levels of occupational stress during the COVID-19 pandemic which could have hindered their level of health-related quality of life (HRQoL).

OBJECTIVES

This project investigated HRQoL level in nurses during the COVID-19 pandemic and its health and occupational predictors.

METHODS

A cross-sectional design was adopted and targeted full-time nurses in Jordan. Study collected data included demographics, 12-item Short Form health survey (SF-12) to measure HRQoL, Nordic musculoskeletal questionnaire (NMQ), nurses' evaluation of work conditions during COVID-19, and Depression Anxiety Stress Scale (DASS21). Data was analyzed descriptively to summarize main outcome measures and using multiple linear regression model to identify factors significantly associated with HRQoL.

RESULTS

In total 245 nurses successfully completed the survey, 39.6% were males with a mean age of 35±6 years. Participant SF12 scores were 65.94±17.85 for physical component and 50.09±19.36 mental component. The statistical model significantly explained 53.2% of variance in HRQoL (r2 = 0.534, F = 57.849, p < 0.001). Better sleep quality self-evaluation was significantly associated with higher HRQoL levels, while increased levels of depression, musculoskeletal pain, and financial burden on family were significantly associated with worse HRQoL level.

CONCLUSION

Jordanian nurses' HRQoL level was relatively low during COVID-19. Sleep quality, mental health status, musculoskeletal health status, and financial status were identified as factors possibly influenced HRQoL among nurses during the COVID-19 pandemic. Nurses' quality of life along with their mental and physical health should be considered by healthcare administrators in the remaining period of COVID-19 and in future similar emergencies.

Prevalence and risk factors associated with poor sleep among firefighters in Taiwan: An observational study

Sleep quality is directly correlated with overall health and quality of life. Firefighters have a higher workload and injury rate than those in other occupations. This study investigated the prevalence of and risk factors for poor sleep quality among firefighters in Taiwan. This cross-sectional study was conducted between November 2019 and August 2020. Sociodemographic information of the study participants was collected using a structured self-administered questionnaire. The Chinese version of the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the subjective sleep quantity and quality of firefighters during the previous month. A t test for continuous variables and χ2 test for categorical variables were performed for univariate analysis. Logistic regression analysis was conducted for multivariate analysis. Eight hundred eighty-nine firefighters completed the questionnaire during the study period, with a response rate of 88.9%. Among them, 447 (50.3%) reported poor sleep quality. Logistic regression analysis showed that female sex, longer work duration (>5 years) for firefighters, on-call shift work, and no leisure-time physical activity (LTPA) was significantly correlated with an increased risk of poor sleep quality. Advanced analysis of partaking in LTPA revealed that high-intensity LTPA is significantly associated with higher rates of poor sleep quality. In contrast, adequate rest after LTPA correlated with lower rates of poor sleep quality. Firefighters are at higher risk of poor sleep quality. Emphasis should be placed on firefighters' regular LTPA, particularly when experiencing sleep problems.

A cross-sectional study on sleep disturbances and associated factors among nurses

BACKGROUND

Many studies have measured sleep disturbances among nurses globally, but none have addressed this issue in Vietnam. Therefore, this study aimed to assess the prevalence of sleep disturbance and identify associated factors among staff nurses in Vietnam. To identify sleep disturbances and associated factors among staff nurses in Vietnam.

METHODS

A cross-sectional design was used in this study. Participant nurses (n = 420) completed a general information questionnaire, the Vietnamese version of the General Sleep Disturbance Scale (GSDS), the Perceived Stress Scale, and the Short Form 12. Data were collected between July and September 2019 from three public hospitals located in southwestern Vietnam. Data were analyzed using Chi-square, independent Student's t-test, and multivariate logistic regression analysis.

RESULTS

The average GSDS score was 41.10 (SD = 19.48), indicating sleep disturbances among 46.9% of nurses. Age, health condition, stress, and quality of life had an impact on sleep disturbance. Multivariate logistic regression analysis confirmed that nurses with high stress and poor physical health status were more likely to experience sleep disturbances.

CONCLUSION

Vietnamese nursing staff suffers from a high rate of sleep disturbances. Significant predictors included high stress and poor physical health status. Administrators of healthcare services should carefully consider how to conduct interventions to help the nurses handle their sleep disturbances such as stress management and physical health promotion.

SLEEP ASSESSMENT AND ASSOCIATED FACTORS IN HOSPITAL NURSING WORKERS

ABSTRACT Objective: analyze the relationship between sleep quality, excessive daytime sleepiness, and health symptoms among the nursing team working in a hospital. Method: cross-sectional research, carried out with the nursing team of a public hospital in Brazil, between September 2017 and April 2018. A sociodemographic questionnaire, health symptoms, Sleepiness Scale, and the Pittsburgh Sleep Quality Index were used. Data are presented as absolute and relative frequencies, means, standard deviations, bivariate analysis, and binary logistic regression. Results: a total of 308 workers participated in the study, and poor sleep quality and absence of daytime sleepiness predominated among them. There was an association between sleepiness, children (p=0.006), and work accidents (p=0.044). Factors associated with poor sleep quality and drowsiness, appetite disorders, feeling of poor digestion, flatulence, weight gain, irritability, headache, feeling of low self-esteem, and mood lability. Conclusion: appetite disorder was the main factor for poor sleep quality for the nursing team working in a hospital in Brazil. This suggests that it is important to consider sleep quality when examining a worker´s health.

AVALIAÇÃO DO SONO E FATORES ASSOCIADOS EM TRABALHADORES DE ENFERMAGEM HOSPITALAR

RESUMO Objetivo: analisar a relação entre qualidade do sono, sonolência diurna excessiva e sintomas de saúde entre a equipe de enfermagem que atuava em um hospital. Método: pesquisa transversal, realizada com a equipe de enfermagem de um hospital público do Brasil, entre setembro de 2017 e abril de 2018. Foram utilizados questionário sociodemográfico, sintomas de saúde, Escala de Sonolência e Índice de Qualidade do Sono de Pittsburgh (PSQI-BR). Os dados são apresentados como frequências absolutas e relativas, médias, desvios padrão, análise bivariada e regressão logística binária. Resultados: participaram do estudo 308 trabalhadores, predominando entre eles a má qualidade do sono e a ausência de sonolência diurna. Houve associação entre sonolência, crianças (p=0,006) e acidentes de trabalho (p=0,044). Os fatores associados à má qualidade do sono e sonolência foram distúrbios do apetite, sensação de má digestão, flatulência, ganho de peso, irritabilidade, dor de cabeça, sensação de baixa autoestima e labilidade do humor. Conclusão: o transtorno do apetite foi o principal fator de má qualidade do sono para a equipe de enfermagem que atuava em um hospital no Brasil. Isso sugere que é importante considerar a qualidade do sono ao examinar a saúde do trabalhador.