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 Association between night-shift work, sleep quality and health-related quality of life: a cross-sectional study among manufacturing workers in a middle-income setting

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e034455
Author(s):  
Yin Cheng Lim ◽  
Victor C. W. Hoe ◽  
Azlan Darus ◽  
Nirmala Bhoo-Pathy
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Indirect Effect ◽  
Sleep Disturbances ◽  
Night Shift ◽  
Well Being ◽  
Cross Sectional ◽  
Shift Workers ◽  
Night Shift Work

ObjectivesNight-shift work may adversely affect health. This study aimed to determine the impact of night-shift work on health-related quality of life (HRQoL), and to assess whether sleep quality was a mediating factor.DesignA cross-sectional study.Setting11 manufacturing factories in Malaysia.Participants177 night-shift workers aged 40–65 years old were compared with 317 non-night-shift workers.Primary and secondary outcomesParticipants completed a self-administered questionnaire on socio-demographics and lifestyle factors, 12-item Short Form Health Survey V.2 (SF-12v2) and the Pittsburgh Sleep Quality Index (PSQI). The Baron and Kenny’s method, Sobel test and multiple mediation model with bootstrapping were applied to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.ResultsNight-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared with non-night-shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. ‘Subjective sleep quality’ (indirect effect=−0.24, SE=0.14 and bias corrected (BC) 95% CI −0.58 to −0.01) and ‘sleep disturbances’ (indirect effect=−0.79, SE=0.22 and BC 95% CI −1.30 to −0.42) were mediators for the association between night-shift work and physical well-being, whereas ‘sleep latency’ (indirect effect=−0.51, SE=0.21 and BC 95% CI −1.02 to −0.16) and ‘daytime dysfunction’ (indirect effect=−1.11, SE=0.32 and BC 95% CI −1.86 to −0.58) were mediators with respect to mental well-being.ConclusionSleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action to improve their employees’ overall wellbeing.

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 0147 Meta-analysis on night shift work and risk of metabolic syndrome

2014 ◽  
Vol 71 (Suppl 1) ◽  
pp. A78.3-A78 ◽  
Author(s):  
Feng Wang ◽  
Liuzhuo Zhang ◽  
Yanfang Zhang ◽  
Bo Zhang ◽  
Yonghua He ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Shift Work ◽  
Meta Analysis ◽  
Night Shift ◽  
Night Shift Work

Serotonin variations and sleep disorders among shift workers. A cross-sectional study

2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Serotonin Level ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Shift Workers ◽  
Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

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.

scholarly journals Impacts of shift work: A study in textile companies in Portugal

2017 ◽  
Vol 1 (1) ◽  
pp. 69-78
Author(s):  
I. S. Silva ◽  
J. Keating ◽  
D. Costa
Keyword(s):  
Shift Work ◽  
Social Life ◽  
Sleep Disturbances ◽  
Night Shift ◽  
The Other ◽  
Work Schedules ◽  
Textile Workers ◽  
Shift Workers ◽  
Work Shifts ◽  
Morning Shift

Shift work, especially if it involves night work and/or weekend work, may represent disadvantages for workers and their families at the level of family, social life, and health. The present study evaluates the impacts of three work shifts (morning, afternoon and night) on sleep, family and social life as well as satisfaction with work schedules. In total, 373 Portuguese textile workers participated in this study; all were men. The results indicated that night shift workers had greater sleep disturbances and less satisfaction with their work schedules. On the other hand, morning shift workers were most satisfied with family and social life in association with their work schedules. Based on the results, implications of the practice have been reflected.

scholarly journals Cross-sectional analysis of sleep-promoting and wake-promoting drug use on health, fatigue-related error, and near-crashes in police officers

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e022041 ◽  
Author(s):  
Rowan P Ogeil ◽  
Laura K Barger ◽  
Steven W Lockley ◽  
Conor S O’Brien ◽  
Jason P Sullivan ◽  
...  
Keyword(s):  
Drug Use ◽  
Shift Work ◽  
Police Officers ◽  
Motor Vehicle ◽  
Night Shift ◽  
Adverse Outcomes ◽  
Future Research ◽  
Cross Sectional ◽  
Night Shift Work ◽  
Excessive Sleepiness

ObjectivesTo examine sleep-promoting and wake-promoting drug use in police officers and associations between their use and health (excessive sleepiness, stress and burnout), performance (fatigue-related errors) and safety (near-crashes) outcomes, both alone and in combination with night-shift work.DesignCross-sectional survey.SettingPolice officers from North America completed the survey either online or via paper/pencil at a police station.Participants4957 police participated, 3693 online (91.9%, participation rate) and 1264 onsite (cooperation rate 63.1%).Main outcome measuresSleep-promoting and wake-promoting drug use, excessive sleepiness, near-crash motor vehicle crashes, dozing while driving, fatigue errors, stress and burnout.ResultsOver the past month, 20% of police officers reported using sleep-promoting drugs and drugs causing sleepiness, while wake-promoting agents were used by 28% of police (5% used wake-promoting drugs, 23% used high levels of caffeine and 4% smoked to stay awake). Use of sleep-promoting drugs was associated with increased near-crashes (OR=1.61; 95% CI 1.21 to 2.13), fatigue-related errors (OR=1.75; 95% CI 1.32 to 2.79), higher stress (OR=1.41; 95% CI 1.10 to 1.82), and higher burnout (OR=1.83; 95% CI 1.40 to 2.38). Wake-promoting drug use, high caffeine and smoking to stay awake were associated with increased odds of a fatigue-related error, stress and burnout (ORs ranging from 1.68 to 2.56). Caffeine consumption was common, and while smoking was not, of those participants who did smoke, one-in-three did so to remain awake. Night-shift work was associated with independent increases in excessive sleepiness, near-crashes and fatigue-related errors. Interactions between night-shift work and wake-promoting drug use were also found for excessive sleepiness.ConclusionsPolice who use sleep-promoting and wake-promoting drugs, especially when working night shifts, are most vulnerable to adverse health, performance and safety outcomes. Future research should examine temporal relationships between shift work, drug use and adverse outcomes, in order to develop optimal alertness management strategies.

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