scholarly journals Factors Associated with Pre-Vaccination SARS-CoV-2 Infection Risk among Hospital Nurses Facing COVID-19 Outbreak

2021 ◽  
Vol 18 (24) ◽  
pp. 13053
Author(s):  
Luca Coppeta ◽  
Cristiana Ferrari ◽  
Andrea Mazza ◽  
Marco Trabucco Aurilio ◽  
Stefano Rizza
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Shift Work ◽  
Smoking Status ◽  
Night Shift ◽  
Nasopharyngeal Swab ◽  
Hospital Nurses ◽  
Shift Workers ◽  
Night Shift Work ◽  
Related Risk

The objective of this work was to evaluate the magnitude of COVID-19 spread and the related risk factors among hospital nurses employed in a COVID hospital in Rome, before the beginning of the vaccination programmes commenced in 2021. Participants periodically underwent (every 15–30 days) nasopharyngeal swab and/or blood sample for SARS-CoV-2 IgG examination. From 1 March 2020 to 31 December 2020, we found 162 cases of COVID-19 infection (n = 143 nasopharyngeal swab and n = 19 IgG-positive) in a total of 918 hospital nurses (17.6%). Most SARS-CoV-2-infected hospital nurses were night shift workers (NSWs), smokers, with higher BMI and lower mean age than that of individuals who tested negative. After adjusting for covariates, age (OR = 0.923, 95% C.I. 0.895–0.952), night shift work (OR = 2.056, 95% C.I. 1.320–2.300), smoking status (OR = 1.603, 95% C.I. 1.080–2.378) and working in high-risk settings (OR = 1.607, 95% C.I. 1.036–2.593) were significantly associated with SARS-CoV-2 hospital infection, whereas BMI was not significantly related. In conclusion, we found a high prevalence of SARS-CoV-2 infection among hospital nurses at a Rome COVID hospital in the pre-vaccination period. Smoking, young age, night shift work and high-risk hospital settings are relevant risk factors for hospital SARS-CoV-2 infection; therefore, a close health surveillance should be necessary among hospital nurses exposed to SARS-CoV-2.

scholarly journals High risk of near-crash driving events following night-shift work

2015 ◽  
Vol 113 (1) ◽  
pp. 176-181 ◽  
Author(s):  
Michael L. Lee ◽  
Mark E. Howard ◽  
William J. Horrey ◽  
Yulan Liang ◽  
Clare Anderson ◽  
...  
Keyword(s):  
High Risk ◽  
Shift Work ◽  
Occupational Safety ◽  
Motor Vehicle ◽  
Night Shift ◽  
Driving Performance ◽  
Previous Night ◽  
Shift Workers ◽  
Night Shift Work ◽  
The Impact

Night-shift workers are at high risk of drowsiness-related motor vehicle crashes as a result of circadian disruption and sleep restriction. However, the impact of actual night-shift work on measures of drowsiness and driving performance while operating a real motor vehicle remains unknown. Sixteen night-shift workers completed two 2-h daytime driving sessions on a closed driving track at the Liberty Mutual Research Institute for Safety: (i) a postsleep baseline driving session after an average of 7.6 ± 2.4 h sleep the previous night with no night-shift work, and (ii) a postnight-shift driving session following night-shift work. Physiological measures of drowsiness were collected, including infrared reflectance oculography, electroencephalography, and electrooculography. Driving performance measures included lane excursions, near-crash events, and drives terminated because of failure to maintain control of the vehicle. Eleven near-crashes occurred in 6 of 16 postnight-shift drives (37.5%), and 7 of 16 postnight-shift drives (43.8%) were terminated early for safety reasons, compared with zero near-crashes or early drive terminations during 16 postsleep drives (Fishers exact:P= 0.0088 andP= 0.0034, respectively). Participants had a significantly higher rate of lane excursions, average Johns Drowsiness Scale, blink duration, and number of slow eye movements during postnight-shift drives compared with postsleep drives (3.09/min vs. 1.49/min; 1.71 vs. 0.97; 125 ms vs. 100 ms; 35.8 vs. 19.1; respectively,P< 0.05 for all). Night-shift work increases driver drowsiness, degrading driving performance and increasing the risk of near-crash drive events. With more than 9.5 million Americans working overnight or rotating shifts and one-third of United States commutes exceeding 30 min, these results have implications for traffic and occupational safety.

scholarly journals O4A.5 Night shift work is associated with abnormal liver function

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A33.2-A33
Author(s):  
Lap Ah Tse ◽  
Feng Wang ◽  
Liuzhuo Zhang ◽  
Zhimin Li
Keyword(s):  
Liver Function ◽  
Shift Work ◽  
Night Shift ◽  
Abnormal Liver Function ◽  
Baseline Survey ◽  
Shift Workers ◽  
Night Shift Work ◽  
Logistic Regression Models ◽  
Biochemical Analyzer ◽  
Stratified Analysis

ObjectiveTo examine the relationship between night shift work and elevated level of alanine transaminase (e-ALT) of workers, stratified by status of non-alcohol fatty liver.MethodsWe established a prospective cohort of night shift workers in Shenzhen, China. All 4740 male workers who had liver function data from the baseline survey of this night shift workers’ cohort were included in the current analysis. We collected information on demographics, lifestyles, and lifetime working schedule from standardized questionnaire. We examined workers’ NAFL status using liver sonography and their serum ALT levels using the automatic biochemical analyzer. Unconditional logistic regression models were used to evaluate odds ratios (ORs) and 95% confidence interval (95% CI).ResultsThis cohort contained 39.5% night shift workers. Compared with the day workers, night shift workers had higher odds of e-ALT (OR: 1.18; 95% CI 1.00–1.40). Stratified analysis showed that a positive gradient between night shift years and elevated e-ALT was only restricted to the night shift workers without NAFL. No similar trend was observed among those with NAFL.ConclusionsNight shift work is positively associated with the abnormal liver function in workers without NAFL, which indicates that shift work involving circadian disruption is likely to affect abnormal liver function.[National Natural Science Foundation of China (Project number 81273172 and 81372964), [email protected] (Lap Ah Tse)]

Relationship of work-related stress with obesity among Brazilian female shift workers

2020 ◽  
pp. 1-7
Author(s):  
Janaína Cristina da Silva ◽  
Anderson Garcez ◽  
Gabriela Herrmann Cibeira ◽  
Heloísa Theodoro ◽  
Maria Teresa Anselmo Olinto
Keyword(s):  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Work Related Stress ◽  
Shift Workers ◽  
Night Shift Work ◽  
Work Related ◽  
Prevalence Of Obesity ◽  
Related Stress

Abstract Objectives: To explore the relationship between work-related stress and obesity among female shift workers. Additionally, we also aimed to test the interaction between shift work and work-related stress in this association. Design: A cross-sectional study was conducted among Brazilian female shift workers. Work-related stress was assessed through a demand–control questionnaire (Job Stress Scale). Work-related stress was defined by the presence of high psychological demands and low control at work. The obesity cases were defined as those with a BMI of 30 kg/m2 or more. Multivariate Poisson regression with robust variance was used to obtain the prevalence ratios (PR) and their respective 95 % CI. Setting: A group of industries located in southern Brazil in 2017. Participants: Four hundred and twenty female workers aged 18–59 years. Results: The overall prevalence of obesity was 30 % (95 % CI: 25·6, 34·4), and the presence of work-related stress was identified in 24 % (95 % CI: 19·9, 28·1) of the sample. We found an indication of interaction between work-related stress and night shift work on obesity (P = 0·026). After adjusting for confounding factors, work-related stress was associated with a 71 % greater probability of obesity (PR = 1·71; 95 % CI: 1·02, 2·87; P = 0·042) among female night shift workers. Conclusions: In this study, we revealed that exposure to work-related stress and night shift work were associated with obesity among female shift workers. Furthermore, the prevalence of obesity was high among female shift workers.

Association between night-shift work, sleep quality and metabolic syndrome

2018 ◽  
Vol 75 (10) ◽  
pp. 716-723 ◽  
Author(s):  
Yin Cheng Lim ◽  
Victor C W Hoe ◽  
Azlan Darus ◽  
Nirmala Bhoo-Pathy
Keyword(s):  
Metabolic Syndrome ◽  
Sleep Quality ◽  
Shift Work ◽  
Sleep Disturbances ◽  
Night Shift ◽  
Future Research ◽  
Global Score ◽  
Early Screening ◽  
Shift Workers ◽  
Night Shift Work

ObjectivesOccupational factors, particularly night-shift work, are attracting growing interest as a possible determinant of metabolic syndrome (MetS). This study aimed to determine the association between night-shift work and MetS, and assess whether sleep quality is a mediating factor.MethodsA cross-sectional study was conducted among Malaysian manufacturing workers, aged 40–65 years old. They completed a self-administered questionnaire on sociodemographics, lifestyle and family history, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Waist circumference, blood pressure, fasting blood sugar, triglycerides and high-density lipoprotein levels were measured. Baron and Kenny’s method, Sobel test and multiple mediation models with bootstrapping were used to determine whether the PSQI global score or its components mediated the association between night-shift work and MetS.ResultsOf the 494 participants, 177 (36%) worked night shift and 51% were men. The prevalence of MetS was 37%. Night-shift work was independently associated with a twofold increase in the risk of MetS (adjusted OR: 1.92, 95% CI 1.24 to 2.97). However, the association between night-shift work and MetS did not appear to be modified by sex. Night-shift workers also reported significantly poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction. Robust mediation analysis nonetheless showed that neither PSQI global score nor its components mediated the association between night-shift work and MetS.ConclusionEarly screening and management of MetS and the development of programmes to improve sleep quality should be carried out among night-shift workers. Future research should investigate other modifiable mediators linking night-shift work and MetS.

scholarly journals Immunological effects of shift work in healthcare workers

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Bette Loef ◽  
Nening M. Nanlohy ◽  
Ronald H. J. Jacobi ◽  
Chantal van de Ven ◽  
Rob Mariman ◽  
...  
Keyword(s):  
T Cells ◽  
Shift Work ◽  
Cd8 T Cells ◽  
Healthcare Workers ◽  
Night Shift ◽  
T Cell Subsets ◽  
Shift Workers ◽  
Night Shift Work ◽  
Adverse Health Effects ◽  
Immunological Effects

AbstractThe immune system potentially plays an important mechanistic role in the relation between shift work and adverse health effects. To better understand the immunological effects of shift work, we compared numbers and functionality of immune cells between night-shift and non-shift workers. Blood samples were collected from 254 night-shift and 57 non-shift workers employed in hospitals. Absolute numbers of monocytes, granulocytes, lymphocytes, and T cell subsets were assessed. As read out of immune function, monocyte cytokine production and proliferative capacity of CD4 and CD8 T cells in response to various stimuli were analysed. The mean number of monocytes was 1.15 (95%-CI = 1.05–1.26) times higher in night-shift than in non-shift workers. Furthermore, night-shift workers who worked night shifts in the past three days had a higher mean number of lymphocytes (B = 1.12 (95%-CI = 1.01–1.26)), T cells (B = 1.16 (95%-CI = 1.03–1.31)), and CD8 T cells (B = 1.23 (95%-CI = 1.05–1.45)) compared to non-shift workers. No differences in functional parameters of monocytes and lymphocytes were observed. The differences in numbers of monocytes and T cells suggest that chronic exposure to night-shift work as well as recent night-shift work may influence the immune status of healthcare workers. This knowledge could be relevant for preventive initiatives in night-shift workers, such as timing of vaccination.

scholarly journals Night shift work and the risk of metabolic syndrome: Findings from an 8-year hospital cohort

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261349
Author(s):  
Wan-Ju Cheng ◽  
Chiu-Shong Liu ◽  
Kai-Chieh Hu ◽  
Yu-Fang Cheng ◽  
Kati Karhula ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Shift Work ◽  
Night Shift ◽  
Working Time ◽  
Health Examination ◽  
Long Term Effects ◽  
Time Data ◽  
Shift Workers ◽  
Night Shift Work ◽  
Night Shifts

Objectives Studies concerning the risk of metabolic syndrome associated with night work have shown inconsistent findings, due to imprecise working time data and cross-sectional design. We used register-based daily working time data to examine the risk of incident metabolic syndrome associated with night shift work. Methods Working time data collected between 2010 and 2018 of 5775 Taiwanese hospital workers were used to identify night shift workers and to calculate the number of night shifts. Metabolic syndrome was identified by annual occupational health examination results, which were linked to the working time data. Logistic regression models and generalized estimating equations were used to examine the association between night shift work and metabolic syndrome and the 5 components of metabolic syndrome. Results Night shift work is associated with a higher risk of developing metabolic syndrome (adjusted OR = 1.36, 95% CI = 1.04 to 1.78) and high waist circumference (adjusted OR = 1.27, 95% CI = 1.07 to 1.78) compared to day work. Among night shift workers, increased number of night shifts was associated with high blood pressure (adjusted OR = 1.15, 95% CI = 1.01 to 1.31). Conclusions Night shift work is associated with metabolic risk factors. Long-term effects of circadian rhythm disruption on metabolic disturbances needs to be further studied.

scholarly journals Shift work is associated with positive COVID-19 status in hospitalised patients

2020 ◽  
Author(s):  
Robert Maidstone ◽  
Simon G Anderson ◽  
David W Ray ◽  
Martin K Rutter ◽  
Hannah J Durrington ◽  
...  
Keyword(s):  
Shift Work ◽  
Healthcare Workers ◽  
Night Shift ◽  
Multivariate Logistic Regression ◽  
Shift Workers ◽  
Night Shift Work ◽  
Work Factors ◽  
Hospitalised Patients ◽  
Disease Exposure ◽  
The Impact

AbstractIntroductionShift work is associated with both mental, and physical ill health, including lung disease and infections. However, the impact of shift work on significant COVID-19 illness has not be assessed. We therefore investigated whether shift work is associated with COVID-19.Methods501,000 UK biobank participants were linked to secondary care SARS-CoV-2 PCR results from public health England. Healthcare workers and those without an occupational history were excluded from analysis.ResultsMultivariate logistic regression taking into account age, sex, ethnicity and deprivation index revealed that irregular shift work (OR 2.42 95%CI 1.92-3.05), permanent shift work (OR 2.5, 95%CI 1.95-3.19), day shift work (OR 2.01, 95%CI 1.55-2.6), irregular night shift work (OR 3.04, 95%CI 2.37-3.9) and permanent night shift work (OR 2.49, 95%CI 1.67-3.7) were all associated with positive COVID-19 tests compared to participants that did not perform shift work. This relationship persisted after adding sleep duration, chronotype, pre-morbid disease, BMI, alcohol and smoking. Work factors (proximity to a colleague combined with estimated disease exposure) were positively correlated with COVID-19 incidence (r2=0.248, p=0.02). If this was added to the model shift work frequency remained significantly associated with COVID-19. To control for non-measured occupational factors the incidence of COVID-19 in shift workers was compared to colleagues in the same job who did not do shift work. Shift workers had a higher incidence of COVID-19 (p<0.01).ConclusionsShift work is associated with a higher likelihood of in-hospital COVID-19 positivity. This risk could potentially be mitigated via additional workplace precautions or vaccination.

scholarly journals The Relationship Between Workers’ Health and Night Shift Work in Food Franchise Industry in Kuching, Sarawak, Malaysia

2018 ◽  
Vol 4 (2) ◽  
pp. 18-27
Author(s):  
Siew Wui Long ◽  
Florianna Lendai Michael ◽  
Hana Hamidi
Keyword(s):  
Mental Health ◽  
Circadian Rhythm ◽  
Shift Work ◽  
Night Shift ◽  
Well Being ◽  
Sleep Pattern ◽  
Shift Workers ◽  
Night Shift Work ◽  
The Relationship ◽  
Pearson Correlations

Shift work alters workers exposure to natural and artificial light, sleep patterns, and feeding patterns. Among other working population, shift workers are at a greater risk of developing metabolic impairments over time. Hence, this study aimed to study the relationship between workers’ health and night shift work in food franchise industry in Kuching, Sarawak. The independent variables are sleep pattern, mental health, psychological well-being, circadian rhythm, and insomnia, while the dependent variable is night shift work. Questionnaires were distributed using convenience sampling techniques and a total of 59 questionnaires were collected.  Pearson Correlations test. showed that there is a significant relationship between workers’ health and night shift work. The implications on this research shows that there are more researches on the mitigation of health risk on shift workers.  Keywords: Night shift work; sleep pattern; mental health; psychological; circadian rhythm; insomnia

scholarly journals Night shift work at specific age ranges and chronic disease risk factors

2014 ◽  
Vol 72 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Cody Ramin ◽  
Elizabeth E Devore ◽  
Weike Wang ◽  
Jeffrey Pierre-Paul ◽  
Lani R Wegrzyn ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Disease ◽  
Shift Work ◽  
Disease Risk ◽  
Night Shift ◽  
Night Shift Work ◽  
Chronic Disease Risk
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