Determinants of Sleep Disorders and Occupational Burnout among Nurses: A Cross-Sectional Study

Prevalence and Influencing Factors of Irritable Bowel Syndrome Among Nurses in China: A Cross-Sectional Study

The aims of this study were to investigate the prevalence and influencing factors of irritable bowel syndrome among nurses in order to update the epidemiological data. A questionnaire survey was administered to 1,325 clinical nurses. We used a questionnaire for demographic information, the IBS Severity Scoring System, the IBS Quality of Life questionnaire, the Hospital Anxiety and Depression Scale, the Pittsburgh Sleep Quality Index, and the Maslach Burnout Inventory to conduct our survey. Univariate and multivariate analyses were performed to detect factors influencing irritable bowel syndrome among nurses. The prevalence of irritable bowel syndrome was 13.3%, and the severity of symptoms was mostly moderate. The IBS Quality of Life score was significantly reduced (p < .001). Various foods that caused abdominal pain (egg and dairy products [OR = 4.80], greasy food [OR = 5.80], spicy food [OR = 2.66], raw and cold food [OR = 2.43]), a family history of gastrointestinal diseases (OR = 1.64, 95% CI [1.038, 2.587]), drinking weak green tea (OR = 1.71, 95% CI [1.143, 2.552]), mild depression (OR = 1.78, 95% CI [1.005, 3.156]), and the personal accomplishment dimension of occupational burnout (OR = 2.52, 95% CI [1.039, 6.114]) had important effects on nurses suffering from irritable bowel syndrome. On the contrary, exercising 1-2 hours per week (OR = 0.53, 95% CI [0.327, 0.859]) had a protective effect. The prevalence of irritable bowel syndrome among nurses is relatively high and may be influenced by several factors including genetics, diet, exercise, psychology, and occupational burnout.

Unmasking the triad of burnout, absenteeism, and poor sleep among healthcare workers during the third wave of COVID-19 pandemics. Results from the national AMADEUS study

BACKGROUND

Burnout and absenteeism are prevalent among healthcare workers, reflecting prolonged work-related stress and dissatisfaction with their job. Identifying poor sleep as a contributing factor can assist in developing targeted interventions. This study explored the relationship between burnout, absenteeism, and sleep among healthcare workers.

METHODS

A nationwide online cross-sectional study was conducted among healthcare professionals in France during the third wave of COVID-19, from May 2021 to June 2021. Recruitment strategies included outreach through social and professional networks and email invitations. Burnout was assessed using the Maslach Burnout Inventory, absenteeism through self-reported days absent in the preceding 12 months, and sleep quality using the Pittsburgh Sleep Quality Index. The association between burnout, absenteeism, and poor sleep was analyzed using multivariate logistic regression, accounting for individual and professional variables. The study also explored various sleep dimension abnormalities.

RESULTS

Of 10,087 healthcare workers, 55.2 % reported burnout, 20.5 % absenteeism, and 64.8 % poor sleep. Burnout and absenteeism were more frequent in individuals with poor sleep compared to those with good sleep (74.2 % vs. 25.8 % and 75.6 % vs. 24.4 %, respectively). The multivariate analyses confirmed the associations between burnout, absenteeism, and poor sleep (Adjusted Odds Ratio [aOR] = 2.15, 95 % CI [1.97-2.35], p < 0.001; and aOR = 1.49, 95 % CI [1.32-1.67], p < 0.001, respectively).

INTERPRETATION

The study highlighted the intricate relationship between burnout, absenteeism, and poor sleep among healthcare professionals, informing workforce management and policy decisions to foster a supportive work environment and enhance their well-being.

Association between sleep duration and burnout in healthcare professionals: a cross-sectional survey

Background

Short sleep duration in healthcare professionals is a recurring concern among researchers. On the other hand, the prevalence of burnout in this population group is experiencing exponential growth. Therefore, this study aimed to explore the association between sleep duration and burnout in healthcare professionals.

Methods

This is a cross-sectional study. Data were collected by applying a non-probabilistic convenience sampling, considering a sample of 300 healthcare professionals from the public sector in Peru. The association between variables was explored using multivariate logistic regression. Values of p < 0.05 were considered statistically significant.

Results

The results of the analysis in the crude models revealed that both men and women who slept < 7 h during workdays and days off were 8.33 (95% CI = 2.68-13.99, p = 0.004) and 17.18 (95% CI = 10.50-23.87, p < 0.001) times more likely to have burnout compared to those who reported ≥7 h, respectively. After adjusting for confounding variables, the association remained statistically significant.

Conclusion

The findings of this study underscore the critical importance of sleep duration in the incidence of burnout among healthcare professionals. In the context of the global challenges to the mental and physical health of these professionals, our results highlight the urgent need to implement strategies at the organizational and individual level. This includes promoting a better work-life balance, and effective stress management and improved sleep quality.

Sleep quality among workers in the health sector exposed to the COVID-19 pandemic

The ongoing pandemic of coronavirus disease (COVID-19) is a global health crisis that has posed enormous pressure on workers in the health sector (WHS), having a massive impact on their mental health. In this study, we aimed to evaluate the sleep quality of WHS during the pandemic and compare frontline WHS to those who are not directly engaged in the care of COVID-19 patients. This cross-sectional, self-reported online survey assessed the sleep quality of WHS in Austria using the Pittsburgh Sleep Quality Index (PSQI). The same questionnaire was sent out two times. Due to the unequal sample and anonymity of the study participants, we analyzed the data of each time point separate from each other. The first study was conducted in April/May 2020, during the first lockdown in Austria (Study1), and the second study was conducted in July/August 2020, when the social restrictions were loosened (Study2). T-test was used to compare the mean values of PSQI scores between frontline vs. non-frontline WHS, while two two-way ANCOVAs were used to analyze differences in the PSQI mean scores (controlled for age) for male vs. female between frontline vs. non-frontline WHS. During the first lockdown in Austria (Study1) we identified a shorter sleep duration of frontline WHS compared to the non-frontline group, however the difference in global PSQI score between these groups was statistically not significant. In the period after loosened restrictions (Study2) the sleep quality, sleep latency, sleep duration, sleep efficiency and global PSQI score was worse in frontline WHS compared to the non-frontline WHS. Furthermore, female WHS scored higher in the PSQI indicating a worse sleep than male WHS. In addition, nurses and nursing assistants had a higher prevalence of poor sleep quality than other occupational groups. Our results indicate that the COVID-19 pandemic negatively impacts the sleep of WHS, affecting particularly frontline WHS. Preventive interventions aiming to promote good sleep quality in WHS during a healthcare crisis like this pandemic are essential to enhance resilience and mitigate the vulnerability of this specific population.