Stress, Anxiety and Sleep Disorder among Nurses: A Cross-Sectional Study of Rotation vs Fixed Shift Workers

AbstractBackgroundLack of sleep and on going sleep disorder can affect family health and interpersonal relationships.ObjectiveThe aim of study was to investigate the association between sleep quality and the probable determinants of quality of life among students of a public health faculty at Shahid Beheshti University of Medical Sciences (SBMU) in the 2015 academic year.MethodsThe data from a cross-sectional study of 275 students that randomly stratified sampling between different classes of college students of a public health faculty of Shahid Beheshti University of Medical Sciences were used in this study. The data were collected using a structured questionnaire consisted of modules on socio-demographic characteristics, the Petersburg Standardized Sleep Quality Questionnaire(PSQL) and the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF). Data analysis was done with descriptive and logistic regression. All analyses were carried out using SPSS software V.19.ResultsA total of 275 students participated in this study. The mean age ± standard deviation (SD) was 22.1 ± 3.6 years. In the univariable model, students that were living in their own homes had the odds of 2.18 times more than the others to have a higher quality of life level [95% confidence interval (CI): 1.07–4.45]. Moreover, sleep disorder was negatively associated with the quality of life [odds ratio (OR) = 0.23; 95% CI: 0.12–0.46].ConclusionThese results will help university administrators and policy makers to identify factors associated with poor sleep and provide approaches to enhance sleep hygiene and relevant knowledge in university students. Living in a dormitoy while also suffering from sleep problems could significantly reduce the quality of life.

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Factors influencing rotating shift workers eating habits: A cross-sectional study of Melbourne Metropolitan fire fighters

Journal of Nutrition & Intermediary Metabolism ◽

10.1016/j.jnim.2015.12.238 ◽

2016 ◽

Vol 4 ◽

pp. 24 ◽

Cited By ~ 1

Author(s):

E. Bonnell ◽

C. Huggins ◽

M. Bonham

Keyword(s):

Eating Habits ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Shift Workers ◽

Fire Fighters ◽

Factors Influencing

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Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study

Frontiers in Public Health ◽

10.3389/fpubh.2021.785518 ◽

2021 ◽

Vol 9 ◽

Author(s):

Yuxin Li ◽

Xiaoyan Lv ◽

Rong Li ◽

Yongchao Wang ◽

Xiangyun Guan ◽

...

Keyword(s):

Social Support ◽

Sleep Disorder ◽

Shift Work ◽

Night Shift ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Personnel Staffing ◽

Shift Work Sleep Disorder

Background: Nurses have a high incidence of shift work sleep disorder, which places their health and patient safety in danger. Thus, exploring the factors associated with shift work sleep disorder in nurses is of great significance in improving their sleep health, nursing personnel staffing, and scheduling during the COVID-19 pandemic.Objectives: The purpose of this study was to investigate the incidence of shift work sleep disorder during the COVID-19 pandemic and explore the factors associated with shift work sleep disorder in Chinese nurses.Methods: This was a multicenter cross-sectional study using an online survey. Stratified cluster sampling was used to include 4,275 nurses from 14 hospitals in Shandong, China from December 2020 to June 2021. Stepwise multivariate logistic regression analysis and random forest were used to identify the factors associated with shift work sleep disorder.Results: The prevalence of shift work sleep disorder in the sampled shift nurses was 48.5% during the COVID-19 pandemic. Physical fatigue, psychological stress, shift work more than 6 months per year, busyness during night shift, working more than 40 h per week, working more than four night shifts per month, sleeping more than 8 h before night shift, using sleep medication, irregular meals, and high-intensity physical activity were associated with increased odds of shift work sleep disorder. Good social support, good work-family balance, napping two or three times per week, resting more than one day after shifts, intervals of 8 days or more between shifts, and taking turns to rest during the night shift were associated with decreased odds of shift work sleep disorder.Conclusions: Shift work sleep disorder may be associated with scheduling strategies and personal behavior during the COVID-19 pandemic. To reduce the incidence of shift work sleep disorders in nurses, nursing managers should increase night shift staffing, extend rest days after shift, increase night shift spacing, and reduce overtime, and nurses need to seek more family and social support and control their sleep schedules and diet.

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Short sleep duration is associated with poor diet as measured by the adapted healthy eating index: a cross-sectional study with Brazilian shift workers

Sleep Medicine ◽

10.1016/j.sleep.2017.11.203 ◽

2017 ◽

Vol 40 ◽

pp. e71

Author(s):

G. Cristina Silva ◽

L.C.T. Balieiro ◽

R.A. Guimaraes ◽

T.V.C. Lopes ◽

C.A. Crispim

Keyword(s):

Sleep Duration ◽

Healthy Eating ◽

Cross Sectional Study ◽

Healthy Eating Index ◽

Sectional Study ◽

Short Sleep Duration ◽

Cross Sectional ◽

Shift Workers ◽

Short Sleep ◽

Poor Diet

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A Cross-sectional study among Hospital Employees- Metabolic Syndrome and Shift Work

The Indonesian Journal of Occupational Safety and Health ◽

10.20473/ijosh.v10i2.2021.258-264 ◽

2021 ◽

Vol 10 (2) ◽

pp. 258

Author(s):

Santhosh E Kumar ◽

Antonisamy B ◽

Henry Kirupakaran ◽

Reginald G Alex

Keyword(s):

Metabolic Syndrome ◽

Shift Work ◽

Multivariable Analysis ◽

Sample Size Calculation ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Shift Workers ◽

Hospital Employees ◽

The Impact

Introduction: Shift workers and metabolic syndrome are on the rise in developing nations. The link between Metabolic syndrome and shiftwork is not clear. This study aims to measure the prevalence of metabolic syndrome among shift workers and daytime workers and to assess the association between metabolic syndrome and shift work. Methods: Cross- sectional study was done in a South Indian hospital. Participants were selected via systematic random sampling between the age group of 25 -50 years. There were two study groups – day and shift workers. Sample size calculation was done with an alpha error of 0.05 and power of 80% to detect a 12.5% difference for metabolic syndrome prevalence between the two groups. Outcomes studied include the prevalence of metabolic syndrome and odds of developing metabolic syndrome among shift workers. The Chi-square test and independent t-test were the tests of significance used. The impact of relevant parameters on metabolic syndrome was assessed using univariate and multivariable analysis. Results: Eighty employees were studied in each group. At baseline, differences include; daytime workers were older in age, had a better quality of sleep, were less active physically, and consisted of more vegetarians. The prevalence of metabolic syndrome prevalence was thirty-three percent among the participants. The odds ratio (adjusted for relevant confounders) for shift workers to develop metabolic syndrome was 0.55 (95% CI 0.24 -1.29). Conclusion: Metabolic syndrome was diagnosed in a third of the hospital employees studied. There was no statistical difference between shift and daytime workers for the prevalence of metabolic syndrome. Increased awareness, screening, and preventive measures of the disease are recommended.Keywords: daytime, hospital, metabolic syndrome, shift work, sleep

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Metabolomic Profiles of Shift Workers and Day Workers: A Cross‐Sectional Study

Obesity ◽

10.1002/oby.23164 ◽

2021 ◽

Vol 29 (6) ◽

pp. 1074-1082

Author(s):

Xinru Huang ◽

Xiaoyi Chen ◽

Shiyu Zhao ◽

Jiaojiao Hou ◽

Li Huang ◽

...

Keyword(s):

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Shift Workers

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Shift work sleep disorders and associated factors among nurses at federal government hospitals in Ethiopia: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2019-029802 ◽

2019 ◽

Vol 9 (8) ◽

pp. e029802 ◽

Cited By ~ 2

Author(s):

Kalkidan Kassa Haile ◽

Sintayehu Asnakew ◽

Tsegereda Waja ◽

Habtamu Bogale Kerbih

Keyword(s):

Sleep Disorder ◽

Federal Government ◽

Shift Work ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Shift Work Sleep Disorder ◽

Government Hospitals ◽

Shift Rotation ◽

Study Participants

ObjectiveThe current study was conducted to assess the prevalence and associated factors of shift work sleep disorder among nurses working at Ethiopian federal government hospitals in Addis Ababa.MethodsAn institutional-based, cross-sectional study was conducted from April to June 2018 using self-administered structured questionnaires. Computer-generated simple random sampling technique was used to select a total of 422 nurses as study participants. The International Classification of Sleep Disorders - Third Edition, Bargen Insomnia Scale and/or Epworth Sleepiness Scale were used to measure the outcome shift work sleep disorder. Descriptive statistics and bivariate and multivariate binary logistic regression were used. OR with 95% CI was used to measure the strength of association, and a p value <0.05 was considered statistically significant in multivariate analysis.ResultsAbout a quarter (25.6%) of the study participants have shift work sleep disorder. The average number of nights per month for the last 1 year (adjusted OR=6.3, 95% CI 3.513 to 12.35) and working in three-shift rotation (adjusted OR=3.1, 95% CI 1.68 to 5.83) were significantly associated with shift work sleep disorder.ConclusionA quarter of shift worker nurses are suffering from shift work sleep disorder. The number of nights on average per month for the last 1 year and working in three-shift rotation were significantly associated with shift work sleep disorder. Shift working conditions should be improved to provide less stressful conditions for nurses, ensuring at the same time an appropriate quality of care over a 24-hour period. More studies are necessary to better highlight the burden of shift work on the health and well-being of both nurses and patients.

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