Sleep health of healthcare workers in Kano, Nigeria

Poor sleep quality and associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia

Background

Poor sleep quality is linked to physiological dysfunction, which increases the risk of obesity, cardiovascular disease, cognitive impairment, and other medical conditions. Despite the known health risks of sleep disturbances, literature is still scant regarding sleep quality and its associated factors among healthcare professionals in Ethiopia. Therefore, this study aimed to determine the prevalence of poor sleep quality and its associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital.

Methods

An institution-based cross-sectional study was conducted at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. A total of 418 healthcare professionals participated in the study. The study participants were chosen using the stratified random sampling method. Data were collected using a structured, self-administered questionnaire. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality of participants. Bi-variable and multivariable logistic regression models were used. p ≤ 0.05 was used to declare statistically significant variables.

Results

The mean age of the study participants was 30.7 years (SD ± 6.3). The overall prevalence of poor sleep quality was 58.9% [95% CI (54.2, 63.6%)]. Being female [adjusted odds ratio (AOR) = 1.9, 95% CI (1.2, 2.9)], being a shift worker [AOR = 5.7, 95% CI (2.3, 14.3), not performing regular exercise [AOR = 2.08 (1.2-3.6)], being a khat chewer [AOR = 3.1, 95% CI (1.2, 7.6)], and having depressive symptoms [AOR = 2.6, 95% CI (1.3, 6.8)] were significantly associated with higher odds of having poor sleep quality.

Conclusion

The prevalence of poor sleep quality among healthcare professionals was found to be high. As a result, we recommend that healthcare providers at the University of Gondar Comprehensive Specialized Hospital focus on early regular screening for sleep disturbances and pay special attention to shift work schedules and behaviors such as khat chewing, exercise, and depressive symptoms.

Sleep quality and fatigue among nurses working in high-acuity clinical settings in Saudi Arabia: a cross-sectional study

BACKGROUND

Poor sleep quality is prevalent among nurses worldwide. Around two-thirds of nurses doing shift work are known to experience sleep problems and fatigue. Fatigue and sleep problems are linked to poor performance, impaired alertness, injuries, chronic diseases, compromised healthcare quality, and medical errors, all of which detrimentally impact nurses and threaten patients' safety. This area of research has received insufficient attention in Saudi Arabia; therefore, the purpose of this study was to examine the levels of sleep quality and perceived fatigue and their association among nurses working in acute care settings in comprehensive hospitals in Saudi Arabia.

METHODS

A descriptive cross-sectional study using the Pittsburgh Sleep Quality Index and Chalder Fatigue Scale. Data was obtained via an online questionnaire that was distributed to nurses using the QuestionPro platform through hospital administrators, social media (WhatsApp), and personal contact.

RESULTS

A total of 173 nurses completed the online survey. Most participants reported poor sleep quality (n = 127, 73.4%) and severe perceived fatigue (n = 156, 90.2%). Furthermore, the study revealed a significant correlation between the overall sleep disturbance and fatigue global scores (r = 0.57, P < 0.001), indicating that poor sleep quality was significantly associated with higher fatigue levels among the study sample.

CONCLUSIONS

The current study found a significant association between sleep quality and severe fatigue in nurses working in high acute care settings in Saudi Arabia. It is very clear from the results that nurses are experiencing poor sleep and severe fatigue, which in turn, will negatively impact the nurse's quality of life and patient safety.

Knowledge of the coronavirus disease 2019 (COVID-19) and sleep problems among a selected sample of psychiatric hospital staff in Nigeria: a cross-sectional study

Introduction

as the coronavirus disease 2019 (COVID-19) spreads, sleep problems are expected to increase among healthcare workers. Therefore, we aimed to assess the knowledge of COVID-19, sleep problem and identify sociodemographic factors associated with sleep problems among healthcare workers in a Nigerian neuropsychiatric hospital.

Methods

a cross-sectional study was conducted among 200 healthcare workers in a neuropsychiatric hospital using self-administered questionnaires to assess knowledge of COVID-19, sleep problem, social support, and sociodemographic factors that affect sleep. Chi-square test and Spearman's correlation were applied to assess the association between sociodemographic factors and sleep problems.

Results

about 23.9% of the healthcare workers reported having a sleep problem. However, there was no association of sleep problems with any sociodemographic factors except age (r=0.26) and social support (r=-0.18).

Conclusion

the study offered insight into the occurrence of sleep problems among healthcare workers and suggested a guide for planning interventions targeted at improving the psychological well-being of healthcare workers in the face of current global pandemics.

Sleep quality and related factors including restless leg syndrome in medical students and residents in a Turkish university

PURPOSE

The aim was to determine sleep quality and related factors including restless leg syndrome in the 6th year medical students and medical residents in Pamukkale University, Faculty of Medicine, Denizli, Turkey.

METHODS

The data collection phase of this cross-sectional study was completed between November 1st and December 31st, 2019, with a questionnaire including 59 items. Three hundred forty-one medical students and residents participated in the study. The Pittsburgh Sleep Quality Index was used to determine the participants' sleep quality. The International Restless Legs Syndrome Study Group Diagnostic Criteria and the Restless Leg Syndrome Rating Scale were used for the diagnosis and for determining the seriousness of restless leg syndrome, respectively.

RESULTS

The mean age (SD ±) was 26.6 ± 3.2. Men (50%) and medical residents (59%) constituted the majority. Most of the participants (70%) had poor sleep quality, and 9% had restless leg syndrome. Despite losing their significance in multivariable analysis, a relationship existed between restless leg syndrome and sleep quality in bivariate comparisons (p = 0.04). According to the multiple variable analysis, age (p = 0.008), female gender (p = 0.04), insufficient income (p = 0.009), being on-medication (p = 0.007), being a current smoker (p = 0.01), not sleeping at the usual time (p = 0.04), and listening to music before sleeping (p = 0.03) were identified as independent risk factors for poor sleep quality.

CONCLUSIONS

The prevalence of poor sleep quality and restless leg syndrome are high in the 6th year medical students and residents. Necessary measures should be taken to reduce the effect of negative conditions on these vulnerable groups.

Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies

Objective: Poor sleep quality is common in nursing staff. This meta-analysis aimed to examine the pooled prevalence of poor sleep quality in nursing staff. Methods: A systematic search in PubMed, EMBASE, PsycINFO, and Web of Science databases was performed. Studies that reported sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were synthesized using a random-effects model. Results: Fifty-three studies were analyzed. The pooled prevalence of poor sleep quality was 61.0% (95% CI: 55.8-66.1%). The pooled total PSQI score was 7.13 ± 0.18 (95% CI: 6.78-7.50). The pooled component scores were 1.47 ± 0.20 (95% CI of mean score: 1.08-1.85) in sleep latency, 0.91 ± 0.15 (95% CI of mean score: 0.61-1.21) in sleep duration, 1.59 ± 0.13 (95% CI of mean score: 1.35-1.84) in overall sleep disturbances, 0.33 ± 0.18 (95% CI of mean score: 0-0.67) in sleeping medication, 1.21 ± 1.20 (95% CI of mean score: 0.83-1.60) in daytime dysfunction, 1.39 ± 0.14 (95% CI of mean score: 1.11-1.67) in subjective sleep quality, and 0.66 ± 0.11 (95% CI of mean score: 0.44-0.87) in habitual sleep efficiency. Subgroup and meta-regression analyses found that PSQI cutoff values, mean age, body mass index (BMI), sample size, study quality, and work experience moderated the prevalence of poor sleep quality. Conclusions: Poor sleep quality appears to be common in nursing staff. Considering its negative impact on health, effective measures should be taken to improve poor sleep quality in this population. Longitudinal studies should be conducted to examine the contributing factors of nurses' poor sleep quality.

Poor sleep health is associated with increased mental health problems, substance use, and HIV sexual risk behavior in a large, multistate sample of gay, bisexual and other men who have sex with men (GBMSM) in Nigeria, Africa

BACKGROUND

Poor sleep health has been linked to mental health problems, substance use, and sexual risk-taking among gay, bisexual, and other men who have sex with men (GBMSM). No known published study has examined these relationships among African GBMSM. Consequently, we investigated poor sleep health and associated health-related factors among a large multistate sample of Nigerian GBMSM.

METHODS

Between March and June 2019, 406 GBMSM were recruited from Abuja, Delta, Lagos, and Plateau and asked to complete an interviewer-administered survey. Bivariate and multivariable logistic regression models were constructed to examine the relationship between poor sleep health and other health-related factors.

RESULTS

In the past month, 45.5% of participants reported sleeping an average of 6 hours or less every night, and 30.7% reported experiencing a sleep problem. Factors associated with increased odds of reporting short sleep included: residing in Delta [adjusted odds ratio (aOR) 2.16; 95% confidence interval (CI): 1.15 to 4.04] and Lagos (aOR 2.40; 95% CI: 1.29 to 4.45), depressive symptoms (aOR 1.94; 95% CI: 1.13 to 3.32), and reporting lifetime history of using four or more drugs (aOR 2.52; 95% CI: 1.06 to 6.01). Reporting condom use at last anal sex was associated with decreased odds of reporting short sleep in the last month (aOR 0.54; 95% CI: 0.31 to 0.92). Factors associated with increased odds of reporting sleep problems included: reporting an STI diagnosis in the last year (aOR 1.79; 95% CI: 1.05 to 3.05) and reporting monthly or higher polydrug use in the last 3 months (aOR 2.19; 95% CI: 1.14 to 4.24).

DISCUSSION

Sleep health interventions should be developed for Nigerian GBMSM, which may improve mental health and reduce substance use and sexual risk-taking.

Relationship between Mental Health, the CLOCK Gene, and Sleep Quality in Surgical Nurses: A Cross-Sectional Study

Nursing is a high-risk occupation with high exposure to stress. The physical and mental health of nurses is directly related to the quality of medical services. Therefore, the sleep quality of nurses should not be ignored. In this study, the method of cluster random sampling was adopted from May to September 2019, and a questionnaire survey was conducted among 521 surgical nurses from five affiliated hospitals of Xinjiang Medical University. The relationship between mental health and sleep quality was analyzed, and 20% of the participants with sleep disorders were randomly selected. The sleep disorders used 1 : 1 matching, finally providing a sample with 60 cases and 60 controls for measurement of the CLOCK gene (rs1801260, rs6850524), to analyze the effect of the interaction between mental health and the CLOCK gene on sleep. The mental health and sleep quality of the surgical nurses were evaluated using the Symptom Checklist 90 (SCL-90) and Pittsburgh Sleep Quality Index (PSQI). The study found that surgical nurses had poor sleep, and there were differences associated with age, years working, frequency of night shifts, and incidence of sleep disorders under marital status (p < 0.05). The PSQI scores of the positive psychological symptoms were higher than those of the negative psychological symptoms. The rank sum test was used to compare the sleep quality scores of different genotypes in CLOCK rs1801260 and rs6850524; the results indicated that the PSQI scores were different among different genotypes at the rs1801260 and rs6850524 loci. The logistic regression results suggested that CLOCK gene rs1801260 (TC) and positive psychological symptoms were influential factors for sleep disorders, and the interaction of positive psychological symptoms∗rs1801260 (TT) was a risk factor for sleep disorders (OR = 10.833, 95% CI: 2.987-39.288). The sleep quality of nurses is not only affected by demographic characteristics but also affected by mental health status and the CLOCK gene.

Sleep quality of nurses in the emergency department of public hospitals in China and its influencing factors: a cross-sectional study

Background

Studies have shown that poor sleep could result in many unpleasant consequences and is prevalent in nurses. Considering the fact of high stress, overwhelming workload and many night shifts in the emergency department in China, this study aimed to evaluate the current status of emergency nurses’ sleep quality in public hospitals in Shandong, China and explored its influencing factors.

Methods

A self-administered questionnaire incorporating the Job Content Questionnaire and Pittsburgh Sleep Quality Index (PSQI) was conducted among 4856 emergency nurses in five randomly selected city emergency command systems in Shandong, China. The association of potential influencing factors, including occupational, psychosocial and individual factors, with poor sleep (PSQI> 5) was quantified by multivariate logistic regression analysis.

Results

The average PSQI score of 4730 emergency nurses in public hospitals was 8.2 ± 3.9, including 3114 (65.8%) subjects with PSQI > 5 and 2905 (61.4%) > 8; these figures were found highest for 337 emergency nurses in 14 tertiary hospitals with 11.8 ± 4.3, 257 (76.3%) and 232 (68.8%), followed by 1044 emergency nurses in 43 secondary hospitals with 9.5 ± 3.9, 725 (69.4%) and 675 (64.7%) and 3349 emergency nurses in 167 primary hospitals with 7.4 ± 3.5, 2132 (63.7%) and 1998 (59.7%). The following factors were associated with poor sleep: hospital level (tertiary vs. primary, secondary vs. primary), female sex, less of exercise, long work hours per week, many patients in the charge of at night, high monthly night shift frequency (4–6 vs. never, ≥7 vs. never) and high occupational stress.

Conclusions

The sleep quality of emergency nurses in public hospitals in China was poor, especially in tertiary hospitals. Many factors as listed above, especially occupational stress, night shift taking and workload at night, should be considered when improving emergency nurses’ sleep quality.

Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China

OBJECTIVES

Sleep problems are common among healthcare workers, especially among those who work in tertiary hospitals; however, studies focusing on healthcare workers in tertiary hospitals in China are limited. Therefore, we aimed to examine the prevalence of sleep problems among tertiary hospital employees in China and identify associated factors.

DESIGN

Cross-sectional questionnaire survey study.

SETTING

The study was conducted in 317 departments at 33 tertiary hospitals in the Heilongjiang Province, China.

PARTICIPANTS

The study included a representative sample of 4007 healthcare workers, including clinicians, medical technicians and office workers, who were selected using a multistage cluster sampling method. Ultimately, 3810 participants completed valid questionnaires, yielding a response rate of 95%.

PRIMARY AND SECONDARY OUTCOME MEASURES

Participants completed a structured questionnaire which collected data regarding demographics, sleep problems, employment, chronic pain and health-related behaviours. A two-level logistic regression model was constructed to examine determinants of sleep problems.

RESULTS

We found that nearly half of the respondents reported experiencing sleep problems. The two-level logistic model suggested a positive association of sleep problems with headache (OR=2.64, 95% CI=2.27 to 3.07), working hours (OR=1.41, 95% CI=1.20 to 1.66) and night shifts (OR=1.43, 95% CI=1.21 to 1.69). In contrast, regular diet (OR=0.44, 95% CI=0.36 to 0.53) and exercise (OR=0.65, 95% CI=0.53 to 0.80) protected the study population against sleep problems.

CONCLUSIONS

We found that sleep problems are prominent among tertiary hospital employees in China. The risk factor most strongly associated with sleep problems was headaches. To alleviate sleep problems in this population, medical institutions and health policy makers should establish reasonable working schedules and night-shift work systems, while the healthcare workers themselves should pay attention to their chronic pain problems and engage in regular diet and exercise.

Assessment of Sleep Quality among Medical Doctors in a Tertiary Hospital in a Semi-Rural Setting

Introduction:

Sleep is an integral part of human physiology; therefore, disorders of sleep may result in significant derangement in human functionality. Sleep medicine has received little attention in Nigeria. Against this backdrop, this survey seeks to evaluate the quality of sleep among doctors.

Methodology:

This was a cross-sectional descriptive study involving 59 doctors working with Federal Medical Centre Birnin Kebbi, Kebbi State, Nigeria; it was done between August 2017 and December 2017. Purposive sampling method was adopted. The Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) were adopted. The questionnaire was self-administered.

Results:

There were 34 (57.6%) males and 25 (42.4%) females. Their age ranged from 20 to 66 years, with a mean of 34.39 ± 8.00. The Epworth score ranged from 8 to 29, with a mean of 16.1 ± 4.4, while the PSQI score ranged from 5 to 19, with a mean of 9.5 ± 2.7. The mean work hour per week was 90.3 ± 36.2 h, and majority of the respondents worked for >80 h and or >24 h consecutively in the preceding week, and most had high ESS scores; however, this observation was not statistically significant (Fisher's exact test = 4.0904, P = 0.213). All respondents were poor sleepers and majority sleep for <7 h in the night. Respondents had worked for 5 years and less; house officers and medical offers had more tendencies for daytime sleepiness.

Conclusion:

All respondents were poor sleepers and also had prolonged work hours per week; there was also heightened daytime sleepiness.