Associations between night work and BMI, alcohol, smoking, caffeine and exercise--a cross-sectional study

Pre-pregnancy shift work's influence on postpartum weight retention: Body mass index's role

Shift work is a prevalent workplace exposure, which increases the possibility of unhealthy behaviours and circadian rhythm disruptions and elevates the risk of metabolic diseases and adverse reproductive outcomes. But its potential of increasing the risk of postpartum weight retention remains uncertain. This study aimed to investigate the association between maternal shift work prior to conception and postpartum weight retention, and to identify modifiable factors during pregnancy for prevention. We analysed data from the Taiwan Birth Cohort Study, a prospective cohort of Taiwanese women who gave birth in 2005. We examined the pre-conceptional shift work status of 13,575 mothers and their body weight before pregnancy, before delivery, six and eighteen months after delivery. We used multivariable linear models to examine associations and effect modifications. Maternal shift work before pregnancy was significantly associated with increased postpartum weight retention at six and eighteen months (β-estimate for six months: 0.19-kilogram, 95% CI: 0.03-0.34; eighteen months: 0.23-kilogram, 95% CI: 0.04-0.40). The association between shift work and weight retention at six months postpartum was stronger among mothers who were overweight or obese before pregnancy than mothers with normal weight. This study showed the impact of shift work on postpartum weight retention and suggested a stronger association among mothers with overweight or obesity before pregnancy.

Investigating the relationship between shift work schedule and blood and metabolic parameters: a 10-years retrospective cohort study

Shift work has become increasingly common in modern society. Shift work has been associated with a range of negative health outcomes. Therefore, this 10-years retrospective cohort study, aimed to investigate the relationship between shift work and blood and metabolic parameters. This retrospective cohort study was conducted in a metal parts manufacturing industry in 2023. In this study, 204 shift workers and 204 day workers were examined. All the studied blood and metabolic parameters were collected by reviewing the medical records of all participants during a 10-years period (2013-2022). Moreover, the amounts of physical, chemical, and ergonomics harmful agents in the work environment were investigated. All the collected data were analyzed using SPSS version 25.0. The values of Body Mass Index (BMI), Red Blood Cell Count (RBC), Platelets Count (PLT), Thyroid-Stimulating Hormone Level (TSH), Fasting Blood Sugar Level (FBS), Creatinine, Triglyceride (TG), Liver Enzymes level (SGOT and SGPT), and Systolic Blood Pressure (SBP) were higher among the shift work employees, and a significant difference was observed between the values of these parameters between the two groups. The results of logistic regression showed that the highest effect of shift work was observed on the parameters of FBS, TG, SGPT, TSH, Physical activity, BMI, Sleep duration, PLT, and Sleep quality with beta coefficient values of 0.49, 0.33, 0.29, 0.29, 0.20, 0.18, 0.14, 0.13 and, 0.11, respectively (p-value < 0.01). The present study contributes to a growing body of evidence that blood and metabolic factors are likely to be influenced by shift work. These findings have important implications for policy makers, highlighting the need for interventions to mitigate the negative health effects of shift work on workers.

Factors leading to excessive fatigue in nurses - a three-year follow-up study

BACKGROUND

Global nursing shortages necessitate the identification of mitigatable factors that may reduce nursing absence and turnover. Fatigue has been shown to be associated with these issues. This study aimed to identify factors leading to development of or recovery from excessive fatigue in nurses as these can offer actionable avenues for protecting nurses against fatigue or supporting fatigue recovery.

METHODS

A longitudinal study among nurses randomly sampled from the Norwegian Nurse's Organization. The Chalder Fatigue Questionnaire measured fatigue. Dichotomized scoring was used, with scores ≥ 4 considered excessive fatigue. The study included questions on shift work schedules, psychosocial work characteristics, sleep, body mass index, physical activity, caffeine, alcohol, mental health, etc. Two sets of logistic regression analysis were conducted (one for development of and one for recovery from excessive fatigue), evaluating how changes in work, lifestyle and health between baseline (2015) and follow-up (2018) affected first, odds of development of excessive fatigue and second, odds of recovery from excessive fatigue.

RESULTS

Among 1,311 included nurses, 21.6% maintained, 13.3% developed, and 18.0% recovered from excessive fatigue (2015-2018). Within work characteristics, increased psychological work demands were associated with development of excessive fatigue OR = 1.77 (CI = 1.11-2.82). Several work characteristics were associated with recovery from excessive fatigue, including decreased decision latitude (OR = 0.39; CI = 0.19-0.82) and increased coworker support (OR = 1.90; CI = 1.11-3.24). Shift work variables were not associated with fatigue outcomes. Amongst lifestyle factors, changes in sleep duration, obesity, and exercise were significant. Notably, developing inappropriate sleep duration (OR = 2.84; CI = 1.47-5.48) increased odds of developing excessive fatigue, while maintaining inappropriate sleep duration (< 6 h or > 8 h) (OR = 0.19; CI = 0.54-0.65) decreased odds of recovering. All assessed health conditions (depression, anxiety, insomnia, and shift work disorder) were related to development of (ORs 2.10-8.07) or recovery from (ORs 0.10-0.50) excessive fatigue. Depression, for example, increased odds of development of (OR = 8.07; CI = 2.35-27.66) and decreased odds of recovery (OR = 0.10; CI = 0.04-0.26) from excessive fatigue.

CONCLUSIONS

Changes in lifestyle factors, health conditions, and psychosocial work factors were associated with development of and recovery from excessive fatigue. Sleep and psychosocial work factors played important roles. We found no relationship with shift work schedules.

A Narrative Review of the Carcinogenic Effect of Night Shift and the Potential Protective Role of Melatonin

Since the IARC (International Agency for Research on Cancer) announcement in 2007 indicating the possibility of night-shift work carrying carcinogenesis risk, multiple studies on a global level have been conducted to investigate the correlation between night-shift work and cancer development. Circadian rhythm disruption and decreased melatonin production have been postulated as potential contributing factors. There is also growing evidence that night-shift workers tend to adopt unhealthier lifestyles which contribute to poorer health and increase the risk of developing diseases such as cancer. No experimental study has been specifically dedicated to testing specific methods that could decrease cancer risk in night-shift workers. While there are a few studies that investigate melatonin's concurrent use with chemotherapy in cancer patients, there is yet to be seen for studies that investigate melatonin specifically as a cancer prevention method. This narrative review aims to examine current evidence of healthcare night-shift work's risk in cancer incidence, potential pathogenesis, and its significance in clinical practice.

Association between night shift work and NAFLD: a prospective analysis of 281,280 UK Biobank participants

CONTEXT

This study aimed to investigate the association between night shift work and the risk of nonalcoholic fatty liver disease (NAFLD).

METHODS

We conducted a prospective analysis of 281,280 UK Biobank participants. Cox proportional hazards models were used to estimate the association of night shift work with incident NAFLD. Polygenic risk score analyses were performed to assess whether a genetic predisposition to NAFLD modified the association.

RESULTS

During a median follow-up of 12.1 years (3,373,964 person-years), 2,555 incident NAFLD cases were identified. Compared with workers who never/rarely worked night shifts, those who worked some night shifts or usual/permanent night shifts were 1.12 (95% CI: 0.96-1.31) and 1.27 (95% CI: 1.08-1.48) times more likely to develop NAFLD, respectively. Among the 75,059 participants who had reports on lifetime experience of night shift work, those with a longer duration, a higher frequency, more consecutive night shifts and a longer length per shift all showed higher risks of incident NAFLD. Further analyses showed that the association between night shift work and incident NAFLD was not modified by a genetic predisposition to NAFLD.

CONCLUSIONS

Night shift work was associated with increased risks of incident NAFLD.

Relationship Between Rotating Night Shift Work and Anthropometric Markers of Overall and Central Adiposity

Purpose

This study aimed to investigate possible association between rotating night shift (RNS) work and anthropometric markers of overall and central adiposity among male workers.

Methods

Medical records of workers who underwent medical examination at the Occupational Medicine Unit affiliated with Alexandria Faculty of Medicine were reviewed in December 2021 to extract data about RNS, overall adiposity [body mass index (BMI) from 25 to 29.9 kg/m² indicated overweight, while BMI ≥30 kg/m² indicated obesity], central adiposity (waist circumference ≥94 cm). Univariate and multivariate logistic regression were done to model adiposity as a function of potential demographic, lifestyle, and occupational factors.

Results

Data of 647 male workers, including daytime workers (26.9%) and RNS workers (73.1%) who spent 1-5 years, 6-9 years, or ≥10 years working RNS, were analyzed. No association was found between RNS work and overall adiposity (BMI ≥30 kg/m²). In multivariate regression, age, residence, and smoking status were predictors of an increased BMI. Compared with young workers (<30 years old), the odds of an increased BMI (BMI ≥25 kg/m²) were 2.6 and 3.01 times higher among workers who were 30-<40, and 40-<50 years old, respectively [95% CI=(1.35, 5.05) and (1.19, 7.56), respectively]. Workers who lived in urban areas were less likely to have had an increased BMI (OR=0.34, 95% CI=0.16, 0.74). The odds of an increased BMI were 2.14 times higher in workers who never smoked compared with current smokers (95% CI=1.12, 4.11). No association was found between RNS and central adiposity. In multivariate regression, age was the sole predictor of central adiposity.

Conclusion

The study supports the idea that RNS work might not be associated with overall or central adiposity and highlights a possible association between central adiposity and age and association between BMI and age, residence, and smoking behavior. Longitudinal, larger studies are required to explore the relationship between RNS and adiposity.

Shift Work Domains and their Interactions with Empty Calorie Food/Beverage Consumption: A 14-day Intensive Longitudinal Study

BACKGROUND/OBJECTIVES

Shift work has been linked to unhealthy eating behaviors such as imbalanced diet, or increased empty calorie food/beverage consumption. However, most research has focused on the impact of shift timing. The concept of shift work is complex, and it contains several domains such as shift timing, intensity, and speed. Previous studies have suggested that greater shift intensity and quicker shift speed may contribute to adverse health effects. However, evidence regarding associations between other domains of shift work and empty calorie food/beverage consumption has been relatively lacking. Therefore, the purpose of this study was to evaluate how other shift work domains related to empty calorie food/beverage consumption and whether different shift work domains interacted to influence the intake of foods or beverages.

DESIGN

A 14-day intensive longitudinal study employing ecological momentary assessment.

SETTINGS AND PARTICIPANTS

Eighty registered nurses working in 24 accredited Taiwanese hospitals (i.e., 9 medical centers, 12 regional hospitals, and 3 district hospitals) were recruited.

METHODS

During the study period, a convenience sample of 77 participants completed 2444 momentary surveys about empty calorie food/beverage consumption on a smartphone. Three shift work domains (shift timing, intensity, and speed) were evaluated based on registry-based work schedules. To study how these shift work domains influenced empty calorie food/beverage consumption, we employed three-level mixed-effects regression models for data analyses.

RESULTS

Findings suggested that greater night shift intensity increased the likelihood of sugar-sweetened beverage intake (odds ratio = 1.64, 95% confidence interval [1.01, 2.68]). The impacts of work shift intensity and shift timing on sugar-sweetened beverage consumption varied by shift speed. Among participants assigned a schedule with either medium or rapid shift speed, higher work shift intensity was associated with a higher probability of sugar-sweetened beverage consumption. Compared to day shifts, those who were assigned a quicker shift speed on evening shifts were more likely to consume sugar-sweetened beverages. However, associations between night shift intensity and sugar-sweetened beverage intake did not change by shift speed. Furthermore, shift intensity and shift timing did not interact to affect empty calorie food/beverage consumption.

CONCLUSIONS

This study demonstrated assignments of shift schedules (i.e., high night shift intensity, more changes in shift timings) might influence workers' consumption of empty calorie foods/beverages. Therefore, identifying and mitigating hazardous shift schedules may help to improve shift workers' eating behaviors and benefit their overall health.

THE RELATIONSHIP BETWEEN PSYCHOSOCIAL WORK ENVIRONMENT AND NURSES' PERFORMANCE, ON STUDIES THAT USED THE VALIDATED INSTRUMENT COPENHAGEN PSYCHOSOCIAL QUESTIONNAIRE (COPSOQ): AN EMPTY SCOPING REVIEW

OBJECTIVE

Aim: This study was to map the relationship between psychosocial work environment and nurses' performance, on studies that used the Copenhagen Psychosocial Questionnaire (COPSOQ).

PATIENTS AND METHODS

Materials and Methods: The review intended to answer following questions: 'Can COPSOQ screen completely psychosocial risks of nurses' work environment?' 'Which of these dimensions affect more nurses psychosocial world? A scoping review was developed guided by the JBI methodology and using PRISMA-ScR.

CONCLUSION

Conclusions: Hospital workers, and in particular nurses, are exposed to different risk factors with the most important being psychosocial risks. These arise from problematic work planning, organization and management, as well as from an unhealthy social context of work and may lead to negative psychological, physical and social outcomes. The review highlighted the need for further research using the entire COPSOQ questionnaire in order to fully study the psychosocial risks that nurses face in their work environment.

Relationship between shift work, night work, and subsequent dementia: A systematic evaluation and meta-analysis

Background

The association between shift work, night work, and the risk of dementia are conflicting in the literature.

Objectives

This study was performed to obtain evidence on the potential relationship between shift work, night work, and dementia.

Methods

To investigate the link between shift work, night work, and dementia, we systematically searched PubMed, Embase, and Web of Science from inception to January 1, 2022. The eligibility of the retrieved records and extracted data were independently reviewed by two researchers. The Preferred Reporting Items for Systematic Evaluations and Meta-Analyses (PRISMA) statement was followed. STATA 16.0 was used to conduct the meta-analysis.

Results

A total of four studies involving 103,104 participants were included in this meta-analysis. Pooled results indicated that night shift workers had a 12% increased risk of dementia compared to subjects without night work (HR = 1.12, 95% CI 1.03–1.23, P = 0.094). Shift work was not significantly associated with dementia risk (HR: 1.09, 95% CI: 0.83–1.43, P = 0.546), but the effect of shift work on dementia risk appeared to increase with age, with a correlation observed among workers older than 50 years (HR = 1.31; 95% CI: 1.03–1.68, P = 0.030).

Conclusion

The data presented in our study suggest that night work may be a risk factor for dementia. More prospective studies with objective exposure measurements are required to further confirm this result.

Systematic review registration

https://doi.org/10.37766/inplasy2022.6.0079, identifier: INPLASY202260079.

Are workplace factors associated with employee alcohol use? The WIRUS cross-sectional study

OBJECTIVES

Sociodemographic predictors of employee alcohol use are well established in the literature, but knowledge about associations between workplace factors and alcohol use is less explored. The aim of this study was to explore whether workplace factors were associated with employee alcohol use (consumption and alcohol-related problems).

DESIGN

Cross-sectional study. Linear and binary logistic regression analyses.

SETTING

Heterogeneous sample of employees (workers and supervisors) from 22 companies across geographical locations and work divisions in Norway.

PARTICIPANTS

Employees (N=5388) responded on survey items measuring workplace factors and alcohol use.

OUTCOMES

Data on alcohol use were collected with the Alcohol Use Disorders Identification Test (AUDIT). Consumption was measured with the AUDIT-C (the first three items), and alcohol-related problems were operationalised as a sum score of 8 or higher on the full 10-item AUDIT.

RESULTS

Higher levels of alcohol consumption were associated with more liberal workplace drinking social norms (b=1.37, p<0.001), working full-time (b=0.18, p<0.001), working from holiday home (b=0.40, p<0.01), being a supervisor (b=0.25, p<0.001), having supervisors with less desired leadership qualities (b=-0.10, p<0.01), shorter working hours (b=-0.03, p<0.05), higher workplace social support (b=0.13, p<0.05) and higher income (b=0.02, p<0.001). Alcohol-related problems were associated with more liberal workplace drinking social norms (OR=3.52, p<0.001) and shorter working hours (OR=0.94, p<0.05).

CONCLUSIONS

Workplace drinking social norms were the supremely most dominant predictor of both consumption and alcohol-related problems. Results suggest that some workplace factors may play a role in explaining employee alcohol consumption, although the predictive ability of these factors was limited. This study points to the importance of drinking social norms, workplace drinking culture and leadership for understanding employee alcohol use.

Sleep Modulates Alcohol Toxicity in Drosophila

Alcohol abuse is a significant public health problem. While considerable research has shown that alcohol use affects sleep, little is known about the role of sleep deprivation in alcohol toxicity. We investigated sleep as a factor modulating alcohol toxicity using Drosophila melanogaster, a model for studies of sleep, alcohol, and aging. Following 24 h of sleep deprivation using a paradigm that similarly affects males and females and induces rebound sleep, flies were given binge-like alcohol exposures. Sleep deprivation increased mortality, with no sex-dependent differences. Sleep deprivation also abolished functional tolerance measured at 24 h after the initial alcohol exposure, although there was no effect on alcohol absorbance or clearance. We investigated the effect of chronic sleep deprivation using mutants with decreased sleep, insomniac and insulin-like peptide 2, finding increased alcohol mortality. Furthermore, we investigated whether pharmacologically inducing sleep prior to alcohol exposure using the GABA_A-receptor agonist 4,5,6,7-tetrahydroisoxazolo(5,4-c)pyridin-3-ol (THIP) mitigated the effects of alcohol toxicity on middle-aged flies, flies with environmentally disrupted circadian clocks, and flies with short sleep. Pharmacologically increasing sleep prior to alcohol exposure decreased alcohol-induced mortality. Thus, sleep prior to binge-like alcohol exposure affects alcohol-induced mortality, even in vulnerable groups such as aging flies and those with circadian dysfunction.

Association of healthy beverage index with circadian rhythm and quality of sleep among overweight and obese women: a cross-sectional study

PURPOSE

Circadian rhythm is a behavioral, physiological, and molecular change with a cycle length of approximately 24 h. Changes to the circadian rhythm can result in sleep difficulty. The healthy beverage index (HBI) is a holistic concept for evaluating the quality of overall beverage intake and its association with health-related outcomes in nutritional epidemiological studies. This study aimed to assess the relationship of HBI with circadian rhythm and sleep quality among overweight/obese women.

METHODS

The current study was conducted among 208 overweight and obese women between 18-48 years in Tehran, Iran. We evaluated potential HBI with a valid food frequency questionnaire. Following standard procedures, trained personnel assessed anthropometric measures, blood samples, and other baseline characteristics. The Pittsburgh Sleep Quality Index and the morning-eveningness questionnaire were applied to evaluate sleep quality and circadian rhythm respectively.

RESULTS

The mean (SD) BMI for this study was 30.8 (4.2) kg/m². We observed that subjects in the least tertile had significantly high levels of triglyceride (p = 0.04) and low-density lipoprotein (p = 0.009). High-density lipoprotein was significantly different across the tertiles (p = 0.003). After adjusting for potential covariates, subjects in the second tertile of HBI had 5.07 odds of having the worst quality of sleep as compared to those in the third tertile, p < 0.05. We also observed a significant inverse association between the HBI and the "moderately evening type" participants (OR 0.86; 95% CI 0.68-0.99; p: 0.02) after adjusting for potential confounders.

CONCLUSION

Healthy beverage consumption may have the potential of improving sleep quality among overweight and obese subjects.

LEVEL OF EVIDENCE

Level IV, evidence obtained from a descriptive study.

Study on the Changes of Intestinal Microflora Structure in Long-Term Night Shift Nurses

Objective

To investigate the influence of long-term night shift nurses on the composition.

Methods

The feces of 30 night shift nurses (test group) and 30 day shift nurses (control group) over 1 year were collected, and double-end sequencing based on bacterial 16S rDNA V3 + V4 and fungal 18S rDNA V3 + V4 was used to determine the differences by OTU clustering, diversity, flora abundance, and differential analysis. The results of 60 samples were sequenced for a total of 3, 052. There were 418 high-quality sequences, each sample produced an average of 50, 874 high-quality sequences. The OTU cluster analysis revealed that the number of OTUs was 365. The number of day-shift shift OTUs was 362. There was no significant difference (p < 0.05). There was no significant statistical difference in the Chao, Ace, Shan'non, and Simpson index between the 2 groups (P > 0.05). Differential analysis of gut microflora between 2 groups showed that at the phylum level, the relative abundance of firmicutes in long-term night shift nurses was higher than in day shift nurses. However, the relative abundance of bacteroidetes was lower than that of white shift nurses (all p < 0.05). At the genus level, long-term night shift nurses' Bacteroides, Faecacterium, and Bifidobacterial were lower than that of white shift nurses (p < 0.05). However, the relative abundance of Prevotella and Megomonas was higher than that of white shift nurses (all p < 0.05).

Conclusion

There are differences between night shift nurses, which lead to a decrease in intestinal probiotic flora and increased conditional pathogenic flora. Nursing managers should improve the intestinal flora change of night shift nurses through reasonable scheduling and dietary regulation.

Work Conditions of Italian Nurses and Their Related Risk Factors: A Cohort Investigatory Study

(1) Background: Nursing is a satisfying employment pathway, as nurses preserve lives, but it is also considered one of the most stressful care professions. Nursing is a lifesaving and highly satisfying profession, yet it is considered one of the most stressful occupations. This study aimed to assess differences in anxiety, depression and stress states among nurses according to gender, work history, shift and body mass index (BMI) characteristics. (2) Methods: An online questionnaire was addressed to all Italian nurses during May 2022, investigating anxiety, depression and stress conditions according to the Depression, Anxiety and Stress Scale-21 Items (DASS-21) and sampling characteristics, such as sex, work experience, shift and BMI values. (3) Results: A total of 408 Italian nurses answered the questionnaire. Significant differences between the following were reported: anxiety levels and work experience, since nurses employed over 6 years reported higher anxiety levels than their younger colleagues (p = 0.035); depression levels and sex (p = 0.017), as females reported higher depression levels than males; and also between depression levels and BMI levels (p = 0.003), as 5.90% of overweight and 2.50% of obese participants reported extremely severe depression. By considering stress levels according to sampling characteristics, significant differences were registered according to BMI levels (p < 0.001), as overweight subjects reported higher stress levels (7.40%) than the other subgroups. Finally, significant associations were recorded between anxiety, depression and stress conditions with sex, work experience, shift and BMI. (4) Conclusions: The data were in agreement with the current literature, indicating that nurses might take care not only of their patients but also of themselves, in both the physical and mental aspects.

Effectiveness and response differences of a multidisciplinary workplace health promotion program for healthcare workers

Background

Workplace health promotion (WHP) in the healthcare industry is an important yet challenging issue to address, given the high workload, heterogeneity of work activities, and long work hours of healthcare workers (HCWs). This study aimed to investigate the effectiveness and response differences of a multidisciplinary WHP program conducted in HCWs.

Methods

This retrospective cohort study included HCWs participating in a multidisciplinary WHP program in five healthcare facilities. The 20-week intervention included multiple easy-to-access 90-min exercise classes, one 15-min nutrition consultation, and behavioral education. Pre- and post-interventional anthropometrics, body composition, and physical fitness (PF) were compared with paired sample t-tests. Response differences across sex, age, weight status, and shiftwork status were analyzed with a generalized estimating equation.

Results

A total of 302 HCWs were analyzed. The intervention effectively improved all anthropometric (body mass index, waist circumference, waist-hip ratio, and waist-to-height ratio), body composition (body fat percentage, muscle weight, visceral fat area), and PF (grip strength, high jump, sit-up, sit-and-reach, step test) parameters in all participants (all p < 0.05). Subgroup analyses revealed shift workers had a more significant mean reduction in body mass index than non-shift workers (adjusted p = 0.045). However, there was no significant response difference across sex, age, and weight subgroups.

Conclusion

This study suggested that a multidisciplinary WHP program can improve anthropometric and PF profiles regardless of sex, age, and weight status for HCWs, and shifter workers might benefit more from the intervention.

The association between long-term night shift work and metabolic syndrome: a cross-sectional study of male railway workers in southwest China

OBJECTIVES

Metabolic syndrome (MetS) increases the risk of new diabetes and cardiovascular disease. Night shift work (NSW) may influence metabolic disturbance and lead to MetS. This study aims to investigate the association between long-term NSW (≥ 10 years) and MetS combined with its components in male railway workers in southwest China.

METHODS

11,023 male railway workers with long-term NSW of more than 10 years in the Physical Examination Center of the Affiliated Hospital of Chengdu University were enrolled. The basic data were collected by investigators and blood test results were collected. The primary outcome was the prevalence of metabolic syndrome. The results were analyzed using statistical software SPSS 22.0.

RESULTS

In total, 11,023 people over the age of 40 with more than 10 years of working experience were enrolled, and 4759 (43.2%) participants had a diagnosis of MetS. The basic data indicated that night shift workers tended to be younger, shorter working years, but with higher body mass index and longer hip circumference (p < 0.05). The adjusted analysis revealed that there was no significant association between NSW and metabolic syndrome (OR 1.03, 95% CI 0.94-1.12, p = 0.543). NSW was associated with SBP ≥ 130 mmHg (OR 1.11, 95% CI 1.02-1.21, p < 0.001) and waist circumference ≥ 90 cm (OR 1.11, 95% CI 1.02-1.21, p < 0.001).

CONCLUSIONS

Long-term night shift workers had a higher prevalence of MetS. However, long-term NSW is not associated with a significantly increased risk of metabolic syndrome in male railway workers in southwest China. Long-term NSW is associated with elevated SBP, and waist circumference increase.

The Impact of Sex, Circadian Disruption, and the ClockΔ19/Δ19 Genotype on Alcohol Drinking in Mice

Shift work is associated with increased alcohol drinking, more so in males than females, and is thought to be a coping mechanism for disrupted sleep cycles. However, little is presently known about the causal influence of circadian rhythm disruptions on sex differences in alcohol consumption. In this study, we disrupted circadian rhythms in female and male mice using both environmental (i.e., shifting diurnal cycles) and genetic (i.e., Clock^Δ19/Δ19 mutation) manipulations, and measured changes in alcohol consumption and preference using a two-bottle choice paradigm. Alcohol consumption and preference, as well as food and water consumption, total caloric intake, and weight were assessed in adult female and male Clock^Δ19/Δ19 mutant mice or wild-type (WT) litter-mates, housed under a 12-hour:12-hour light:dark (L:D) cycle or a shortened 10-hour:10-hour L:D cycle. Female WT mice (under both light cycles) increased their alcohol consumption and preference over time, a pattern not observed in male WT mice. Compared to WT mice, Clock^Δ19/Δ19 mice displayed increased alcohol consumption and preference. Sex differences were not apparent in Clock^Δ19/Δ19 mice, with or without shifting diurnal cycles. In conclusion, sex differences in alcohol consumption patterns are evident and increase with prolonged access to alcohol. Disrupting circadian rhythms by mutating the Clock gene greatly increases alcohol consumption and abolishes sex differences present in WT animals.

The Influence of Doing Shift Work on the Lifestyle Habits of Primary Care Nurses

Nurses’ lifestyle habits play a key role in promoting healthy lifestyles; although, they may not always be entirely healthy and can be influenced by working conditions. This paper aims to analyze the influence of doing shift work on nurses’ lifestyle habits. Participants (n = 219) were recruited from 27 primary health care centres in Spain. Data were collected on socio-demographic characteristics, working conditions and lifestyle behaviour, assessed by use of an adhoc questionnaire including validated measures. Descriptive analysis and logistic regression models were performed. A total of 95% of the nurses reported having an adequate diet; 45.2% did not engage in any type of physical activity; and 85.8% did not smoke, especially women. A total of 60.3% did shift work, especially the younger ones (80.8%; p < 0.001), these nurses being the ones with the worst food habits (81.8%). In contrast, nurses who did shift work, exercised more days a week (69.5%; p < 0.001). The dietary habits of the nurses were adequate. Low tobacco consumption and low adherence to physical activity were observed, especially among women. Shift work harmed eating habits and obesity rates, but was a protective factor in terms of adherence to physical exercise.

Emergency Medicine Personnel's Preparation, Performance and Perception of Their Night Shifts: A Cross-Sectional Study from Saudi Arabia

PURPOSE

This study aimed to investigate the perceptions and habits of different emergency department (ED) workers (nurses, residents, and attending physicians) and their pre- or post-shift routines. The study also examined the effect of night shifts on personal life, social life, and health.

PATIENTS AND METHODS

An anonymous, online, cross-sectional, multiple-choice, self-rating (5-point Likert scale) survey was administered to the participants. All analyses were performed using the SPSS version 22.0. Ethical approval was obtained from the Institutional Review Board (IRB) of King Saud University Medical City (KSUMC) in Riyadh, Saudi Arabia.

RESULTS

Thirty-three nurses, 51 residents, and 39 attending physicians participated in the survey (response rates of 21%, 100%, and 100%, respectively). A significant difference was noted in the need to use physical sleeping aids between the three groups (P < 0.003), with more nurses using humidifiers as a sleeping aid (21.2%) than residents or attending physicians. However, there was no difference in the use of pharmacological aids between the three groups. All groups utilized coffee as the preferred stimulant, especially residents (76.5%, P <0.032). Nurses and attending physicians wake up 2 hours before their shift, while residents prefer 3 hours (P <0.001). Attending physicians reported the highest accident rates post-night shifts of 17.9% (P < 0.001). Residents reported satisfaction while working night shifts and were least in agreement with night shifts reducing life span. Attending physicians were more in agreement with the increasing risk of drug/alcohol misuse and the incidence of depression in relation to night shifts.

CONCLUSION

Participants shared many commonalities, yet residents were less likely to use sleeping aids and enjoy night shifts more than the other groups. All groups consumed coffee for stimulation. Attending physicians reported the highest accident rates post night shifts.

Interaction of obesity polygenic score with lifestyle risk factors in an electronic health record biobank

BACKGROUND

Genetic and lifestyle factors have considerable effects on obesity and related diseases, yet their effects in a clinical cohort are unknown. This study in a patient biobank examined associations of a BMI polygenic risk score (PRS), and its interactions with lifestyle risk factors, with clinically measured BMI and clinical phenotypes.

METHODS

The Mass General Brigham (MGB) Biobank is a hospital-based cohort with electronic health record, genetic, and lifestyle data. A PRS for obesity was generated using 97 genetic variants for BMI. An obesity lifestyle risk index using survey responses to obesogenic lifestyle risk factors (alcohol, education, exercise, sleep, smoking, and shift work) was used to dichotomize the cohort into high and low obesogenic index based on the population median. Height and weight were measured at a clinical visit. Multivariable linear cross-sectional associations of the PRS with BMI and interactions with the obesity lifestyle risk index were conducted. In phenome-wide association analyses (PheWAS), similar logistic models were conducted for 675 disease outcomes derived from billing codes.

RESULTS

Thirty-three thousand five hundred eleven patients were analyzed (53.1% female; age 60.0 years; BMI 28.3 kg/m²), of which 17,040 completed the lifestyle survey (57.5% female; age: 60.2; BMI: 28.1 (6.2) kg/m²). Each standard deviation increment in the PRS was associated with 0.83 kg/m² unit increase in BMI (95% confidence interval (CI) =0.76, 0.90). There was an interaction between the obesity PRS and obesity lifestyle risk index on BMI. The difference in BMI between those with a high and low obesogenic index was 3.18 kg/m² in patients in the highest decile of PRS, whereas that difference was only 1.55 kg/m² in patients in the lowest decile of PRS. In PheWAS, the obesity PRS was associated with 40 diseases spanning endocrine/metabolic, circulatory, and 8 other disease groups. No interactions were evident between the PRS and the index on disease outcomes.

CONCLUSIONS

In this hospital-based clinical biobank, obesity risk conferred by common genetic variants was associated with elevated BMI and this risk was attenuated by a healthier patient lifestyle. Continued consideration of the role of lifestyle in the context of genetic predisposition in healthcare settings is necessary to quantify the extent to which modifiable lifestyle risk factors may moderate genetic predisposition and inform clinical action to achieve personalized medicine.

Alcohol Abuse and Insomnia Disorder: Focus on a Group of Night and Day Workers

The sleep-wake cycle plays a fundamental role in maintaining the physiological balance of our body. Its alteration favours the genesis of several organic alterations and diseases including sleep disorders and the consumption of several substances of abuse. It has been reported that the work activity, especially that carried out during the night, is able to influence the sleep-wake cycle, promoting the development of insomnia, which, in turn, would subject the worker to a stressful condition such as to encourage adverse behaviour such as the use/abuse of psychotropic substances. Based on the above premises, the aim of our research was to evaluate, in night workers: (i) the pattern of consumption of alcoholic beverages; (ii) the presence of insomnia; and (iii) the possible correlation between alcohol consumption and insomnia disorder. We used the AUDIT-C test (the abbreviated version of the Alcohol Use Disorders Identification Test) and the Insomnia Severity Index to assess alcohol consumption and insomnia disorder, respectively. All questionnaires were completed by workers of both sexes belonging to different types of work activities, exclusively day or night. The results of our research show a higher propensity of night workers to consume alcoholic beverages than those who work during daytime hours, often in binge-drinking mode. In addition, an increase in the amount of alcohol consumed was found to be related to insomnia disorder, especially in night workers. This study provides further awareness of the importance of the negative impact of alcohol consumption on sleep quality in night workers.

Doses of exposure to night shift work and nutritional status among nursing workers

Introduction

Exposure to night work (NW) has been identified as a possible risk factor for body weight gain. Recent studies highlight the need to assess the intensity and frequency of exposure to night work (i.e., years of exposure and number of nights worked).

Objectives

To investigate the relationships between the dose of exposure to night work (years working nights and number of nights worked) and nutritional status (excess weight, waist circumference), abdominal obesity, and body mass index in nursing professionals.

Methods

Data were analyzed on night workers (n = 529) from a public hospital in Rio de Janeiro, Brazil. Descriptive analyses were conducted and crude and adjusted regression models were constructed to test the associations between exposures and outcomes. Analyses were performed using R, version 2.15.

Results

Working at night for 10 years or more was associated with excess weight (odds ratio [OR] = 1.76; 95% confidence interval [95%CI] 1.14-2.72), with abdominal obesity (OR = 1.76; 95%CI 1.14-2.74), with increased body mass index (ß = 2.28; 95%CI 1.31-3.26), and with increased waist circumference (ß = 4.63; 95%CI 2.38-6.88), when compared with exposure to NW for less than 10 years, after adjusting for covariates. The current dose of night work only exhibited a borderline association between > 5 nights/fortnight and abdominal obesity (OR = 1.55; 95%CI 1.01-2.01).

Conclusions

Detailing night work exposure can contribute data to support strategies for organizing working hours that consider the possibility of limiting the time exposed to night work.

The Health Behaviour of German Outpatient Caregivers in Relation to the COVID-19 Pandemic: A Mixed-Methods Study

The COVID-19 pandemic has affected outpatient caregivers in a particular way. While the German population becomes increasingly older, the number of people in need of care has also increased. The health and, thus, the health behaviour of employees in the outpatient care become relevant to maintain working capacity and performance in the long term. The aims of the study were (1) to examine the health behaviour and (2) to explore pandemic-related perceived change of health behaviour among outpatient caregivers during the COVID-19 pandemic. In a mixed-methods study, 15 problem-centred interviews and a web-based cross-sectional survey (N = 171) were conducted with outpatient caregivers working in Northern Germany. Interviewees reported partially poorer eating behaviour, higher coffee consumption, lower physical activity, skipping breaks more often and less sleep duration and quality during the pandemic. Some quantitative findings indicate the same tendencies. A majority of participants were smokers and reported higher stress perception due to the pandemic. Preventive behaviour, such as wearing PPE or hand hygiene, was increased among interviewees compared to the pre-pandemic period. Our findings indicate that the COVID-19 pandemic could negatively affect outpatient caregivers' health behaviour, e.g., eating/drinking behaviour and physical activity. Therefore, employers in outpatient care should develop workplace health promotion measures to support their employees in conducting more health-promoting behaviours during the COVID-19 pandemic.

Tobacco use and related behaviors among staff and students in a university hospital: A large cross-sectional survey

INTRODUCTION

Smoking prevalence in the overall population in France was 27% in 2017. There are few data about smoking prevalence in hospital workers. The aim of this study was to assess prevalence of current smoking in student and staff populations at Lyon University Hospital. Secondary objectives were to identify main variables associated with current smoking and willingness to quit.

METHODS

We designed a single center, cross-sectional survey, using printed questionnaires. During one day, all registered staff and students were surveyed. We used optical reading to extract information from questionnaires. We performed univariate and multivariate analysis adjusted on most relevant factors.

RESULTS

We analyzed 9712 questionnaires. The participating rates were high: 40.6% in the student cohort and 51.5% in the staff cohort. The proportion of current cigarette users was 26% in students and 25% in staff. In multivariate analysis, current smoking was significantly associated with: younger age, male sex, occupation type (e.g. logistical staff, and paramedical students), overnight work, and e-cigarette use. Among smokers, 53% reported a willingness to quit. In multivariate analysis, number of quit attempts, and feeling symptoms from tobacco were associated with willingness to quit.

CONCLUSIONS

Current smoking is less frequent in our cohorts of hospital staff and students than in the general French population. However, there are deep disparities in current smoking prevalence underlining a heterogeneous population. Among smokers, the majority reported a willingness to quit and some predictive factors may help to target this audience.

Nutrition Habits of Polish Nurses: An Approach

BACKGROUND

Chronic stress, unlimited working time and the shift working system as well as sleep deficiency may lead to the occurrence of nutrition disorders among nurses.

AIM

The aim of the paper was an assessment of the nutrition habits of nurses. It was an observational study conducted from June 2017 to May 2018 among nurses (n = 1080) in Silesia in Poland. Data was obtained using a range of questionnaires.

RESULTS

Body mass index (BMI) of the analysed nurses demonstrated overweight/obesity in 490 (45.5%) of them. Nearly all the diets of the analysed nurses (n = 1021; 94.5%) required improvement. Younger nurses (<31 years old) demonstrated a greater tendency to indulge in habitual overeating, and those having additional employment demonstrated poorer nutrition habits compared to those without additional employment.

CONCLUSION

The analysed nurses made numerous dietary mistakes which, as a consequence, can lead to obesity. Emotional overeating was the dominant nutrition habit in the studied group of nurses. Nurses who were overweight/obese, nurses who had additional employment and younger nurses demonstrated tendencies toward improper nutrition choices, i.e., the tendency to overeat or restrain oneself from eating.

Work Characteristics, Body Mass Index, and Risk of Obesity: The National Quality of Work Life Survey

OBJECTIVES

To examine work characteristics in relation to body mass index (BMI) and risk of obesity.

METHODS

We analyzed data from 1150 participants working 20+ h week-1 from the 2014 National NIOSH Quality of Work Life Survey, based on a representative sample of US workers. We used multiple linear regression for BMI and multiple logistic regression for obesity to estimate associations with 19 different work characteristics plus one set of occupational categories controlling for age, gender, race/ethnicity, education, marital status, job physical exertion, and television watching.

RESULTS

We found significant positive linear associations between BMI and night shift (versus day shift) schedule (B = 2.28, P = 0.008) and blue-collar (versus management/professional) work (B = 1.75, P = 0.008). Night shift schedule [odds ratio (OR) = 2.19, P = 0.029], sales/office work (OR = 1.55, P = 0.040), and blue-collar work (OR = 2.63, P = 0.006) were associated with increased risk of obesity versus 'healthy weight'. No other statistically significant associations between work characteristics and BMI or obesity were observed.

CONCLUSIONS

Night shift schedule and blue-collar work were related to increased BMI and obesity risk in US workers in 2014. Identifying risk factors in blue-collar work and redesigning jobs to reduce those risk factors, and reducing night shift work, could play a role in reducing the prevalence of obesity in the USA.

Shift work disorder and related influential factors among shift workers in China

BACKGROUND

Shift work may cause insomnia and sleepiness in individuals. The present study aimed to exam shift work disorder (SWD), and to investigate their associations with individual characteristics.

METHODS

A total of 1833 shift workers were assessed using the Pittsburg Sleep Quality Index, Epworth Sleepiness Scale (ESS), Composite Scale of Morningness (CSM), Circadian Type Inventory (CTI), Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Anxiety Inventory (BAI) and other self-compiled socio-demographic questionnaires.

RESULTS

In the current sample, 17.1% shift workers have experienced insomnia symptoms, 20.9% were tested for daytime sleepiness, and 19.9% were categorized as having SWD. Logistics regressions revealed that history of mental disorders (OR = 2.04, 95% CI = 1.30-3.21), chronic physical illness (OR = 1.53, 95% CI = 1.17-1.99), CES-D scores (OR = 1.03, 95% CI = 1.02-1.05), BAI scores (OR = 1.04, 95% CI = 1.03-1.06), languid/vigorous tendencies (OR = 1.06, 95% CI = 1.03-1.10) were positively associated with the onset of SWD, while morningness (OR = 0.97, 95% CI = 0.94-0.99) decreased the odds of SWD onset.

CONCLUSIONS

These findings suggested that attention should be drawn to individuals with mental and chronic diseases in when scheduling work shifts. While SWD and its associates should be considered when providing psychological services to shift workers.

Intraindividual association between shift work and risk of drinking problems: data from the Finnish Public Sector Cohort

OBJECTIVES

Studies concerning the association between shift work and drinking problems showed inconsistent results. We used data from a large occupational cohort to examine the association between shift work and different types of drinking behaviour.

METHODS

A total of 93 121 non-abstinent workers from the Finnish Public Sector Study were enrolled in the study. Six waves of survey data were collected between 2000 and 2017. Work schedules were categorised as regular day, non-night shift and night shift work, and shift intensities were calculated from registered working hour data. Two indicators of adverse drinking behaviour were measured: at-risk drinking (>7 and >14 drinks per week in women and men, respectively) and high-intensity drinking (measured as pass-out experience). Intraindividual analysis was conducted using fixed-effects regression to examine the association between shift work and drinking behaviours.

RESULTS

Compared with regular day work, night shift work was associated with an increased risk of high-intensity drinking (OR 1.28, 95% CI 1.07 to 1.52) but a lower risk of at-risk drinking (OR 0.85, 95% CI 0.74 to 0.99). Shift workers who worked long shifts had a lower risk of at-risk drinking compared with those who rarely worked long shifts (OR 0.58, 95% CI 0.37 to 0.93).

CONCLUSIONS

Associations between shift work and alcohol use vary according to drinking patterns. Workers engaged in high-intensity drinking more often during night shift schedules compared with day work, but did not drink averagely higher volume.

Shiftwork and Alcohol Consumption: A Systematic Review of the Literature

INTRODUCTION

Shiftwork can be a risk factor for a number of different somatic and psychological health conditions, especially sleep disorders. Shiftworkers sleep less than dayworkers, and 20-40% of them suffer from difficulties initiating and maintaining sleep, which result in reduced capacity for work and social life. A common coping strategy might be the use of alcohol, which presents a health and safety hazard as it further impairs sleep quality and exacerbates sleepiness in the workplace. This review aimed to assess the extent of such possible connections.

METHODS

We performed a systematic search of the scientific literature on shiftwork and alcohol consumption in PubMed, PsycInfo, and Cochrane Library. Only original studies comparing shiftworkers with non-shiftworkers were included. The recommendations of the Preferred Reporting Items of Systematic Reviews and Meta-Analyses were followed.

RESULTS

Fourteen articles are included in this review. Six studies report some kind of connection between shift- or nightwork and alcohol consumption, especially as a sleep aid. Conflicting or negative results are reported by 3 studies.

DISCUSSION

Shiftwork, especially working at night and in rotation shifts, is associated with binge drinking disorder in different professions. The reasons for pathological consumption of alcohol can be self-medication of sleep problems or coping with stress and psychosocial problems typical for shiftwork. Nurses aged over 50 years represent one important risk group. These results can be important for preventive programs against sleep disorders, including measures other than drinking alcohol as a sleep aid in the workplace of shiftworkers.

Relationship between shift-work and life-style behaviors among emergency department nurses in Jordan

Shift-work can alter the nurses' lifestyle behaviors, which negatively influence health. This study is purposed to assess the relationship between shift-work and selected lifestyle behaviors including, dietary habits, physical activity, and nicotine dependence among Jordanian nurses who work at the emergency department. A cross-sectional, descriptive correlational design was used. A total of 275 Jordanian nurses from the emergency department of Jordanian hospitals participated in the questionnaire. The results showed that 50.2% of the nurses suffered from poor dietary habits, 81.8% of them were physically inactive, and 65.1% had nicotine dependence. There was a positive correlation between shift-work, dietary habits, physical activity, and nicotine dependence. Therefore, the effects of shift-work should be considered when planning and developing interventional programs to enhance nurses' health and promote healthy behaviors among nurses workforce during shift-work.

Strategies to promote nurses' health: A qualitative study with student nurses

Developing strategies to support student nurses' health is a global priority for healthcare organisations and governments. This is because emerging international evidence indicates that improvements in student nurses' health are required to increase the longevity of careers and reduce the loss of time, skill and financial cost of sickness absence and workforce exit. However, we do not know what intervention strategies student nurses think would support their health. The study aim was to explore student nurses' views on factors that influence health-related behaviours and strategies that could improve health. Data were collected through participatory activities during focus groups with student nurses in Scotland. Analysis was theoretically informed and involved mapping to the Behaviour Change Wheel framework. Students identified several factors that influenced health-related behaviours. Four were ranked most important: knowledge, culture, time constraints, and stress. Strategies student nurses thought should be prioritised to improve nurses' health-related behaviours were: stimulating a health-promoting environment by reviewing shift work, improving workplace support, increasing staffing levels, subsidising and role-modelling of healthy food and exercise; and creating applied health-promoting curricula by integrating time and stress management training and lifestyle advice into nursing education. Educational and environmental interventions are needed to support student nurses' health.

Association between shift work and obesity among nurses: A systematic review and meta-analysis

BACKGROUND

The association of shiftwork and the risk of obesity in nurses has been inconsistent in the literature.

OBJECTIVES

We therefore conducted a systematic review and meta-analysis to quantitatively summarize this association in nurses.

METHODS

We systematically searched PubMed, Ovid MEDLINE, Cochrane Library, EMBASE and Web of Science from inception until April 2020 for studies that examined the relationship between shift work and obesity in nurses. Pooled odds ratio (OR) was calculated using a fixed- or random-effect model. The quality of each study was evaluated by using the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I) tool. Two researchers independently assessed eligibility and extracted data. The whole process followed the PRISMA statement.

RESULTS

We included 11 eligible studies with a total of 74,651 nurses in this study. All of the studies were found to be low or moderate risk of bias according to the ROBINS-I tool. The pooled estimate of the risk of obesity in shift work nurses as compared to non-shift work nurses did not achieve statistical significance (OR = 1.05, 95% CI = 0.97-1.14). However, the risk of obesity was significantly higher in the sub-analysis of night-only shift work nurses (OR = 1.12, 95% CI = 1.03-1.21). In a sub-analysis limited only to the studies of female nurses, the obesity risk was found not to be statistically significant (OR = 1.09, 95% CI = 0.84-1.35). For different regions of study population, shift work was associated with a 36% increased risk of obesity in America (OR = 1.36, 95% CI = 1.30-1.42) and 1% increased risk in Europe and Australia (OR = 1.01, 95% CI = 1.00-1.03). The BMI cut-off for obesity varied in the included studies. When using a cut-off of BMI ≥ 30 kg/m² for obesity, our subgroup analysis shows a positive relationship between obesity and nurse shift work (OR = 1.12, 95% CI = 1.03-1.20).

CONCLUSIONS

This is the first systematic review and meta-analysis confirming that shiftwork may play a significant role in the development of obesity among nurses, especially in America, Europe and Australia. This was found to be particularly true for night only shift work nurses. Implementation of health policies and a better night shift schedule are needed in the hospital's management to effectively protect nurses from obesity, and the health risks associated with it.

Sleep hygiene in paramedics: What do they know and what do they do?

OBJECTIVES

Shift workers routinely obtain inadequate sleep, which has major health and wellbeing consequences. Sleep hygiene describes a range of behaviours, lifestyle and environmental factors that can support optimal sleep. To date, limited research has examined sleep hygiene in shift workers. This study aimed to 1) assess the knowledge and understanding of sleep hygiene amongst shift working paramedics, as well as its perceived impact on sleep, and 2) investigate paramedics' engagement with sleep hygiene practices.

STUDY DESIGN

Participants completed an online, cross-sectional survey.

PARTICIPANTS

Queensland Ambulance Service paramedics (n = 184) who engage in shift work.

MEASURES

The online survey included questions from the Standard Shiftwork Index and Sleep Hygiene Index.

RESULTS

Most participants reported little or no understanding or knowledge of 'sleep hygiene' as a concept. Participants reported that sleep scheduling and bedroom environment (temperature, light, and noise) were the most impactful on sleep. Few participants reported nicotine and alcohol consumption, or daytime napping, whereas caffeine consumption and mentally-stimulating bedtime activities were more common. Participants who were young, single, and worked varying shift types (day, afternoon, and night) as part of their regular rosters demonstrated less knowledge regarding sleep hygiene, and were more likely to be exhibiting poor sleep hygiene engagement.

CONCLUSIONS

Paramedics demonstrated a limited level of understanding of sleep hygiene as a concept, and varied knowledge about the impacts of individual sleep hygiene factors. Further, paramedics demonstrated varied engagement with individual sleep hygiene practices. Future research should focus on the development of sleep hygiene interventions to optimise sleep in paramedics.

Relationship between night shift work, eating habits and BMI among nurses in Lebanon

Background

The objective of this cross-sectional study was to evaluate the relationships between night shift work, eating habits and body mass index (BMI) among Lebanese nurses.

Methods

A total of 307 nurses were randomly selected from five hospitals located in Beirut. Data about demographic and professional characteristics, anthropometric measures, dietary habits and intakes were collected through a validated questionnaire. To study the relationship between night shift work, eating habits and BMI, chi-square test, t-test and logistic regressions were used.

Results

The majority of nurses (78. 2%) had irregular meals timing with a significant decrease in the number of complete meals consumed during the day and an increase in the number of snacks consumed during night (p < 0. 05). The most consumed snacks during night shifts were sweets and potato chips. The findings highlighted that BMI and waist circumference significantly increased with the number of years of work (r = 0.175; p < 0.05) and the cumulative number of night shifts hours over the entire work history (r = 0.135/p < 0. 05).

Conclusion

Night shift work is positively associated with abnormal eating patterns and BMI among Lebanese nurses. However the increase in BMI is not related to eating habits.

Night shift work, short sleep and obesity

BACKGROUND

Obesity is associated with increased general mortality and comorbidities, it is multifactorial and some evidence has shown that sleep duration and shift work may be implicated in its pathogenesis.

OBJECTIVES

The aim of this study was to evaluate the association between shift work, quality of life and obesity among healthcare workers of a Brazilian University Hospital.

METHODS

A cross-sectional study was performed from April 2013 to December 2014 with 200 workers of a University Hospital. Sociodemographic data were evaluated and BREF WHOQOL was used for quality of life. The physical activity was evaluated using the International Physical Activity Questionnaire (IPAQ), Chronotypes and daily sleep preference were investigated using Munich Chronotype Questionnaire (MCTQ). Venous blood was collected after 12-h of fasting for laboratory tests.

RESULTS

In this sample, the night shift workers had higher income and were older compared to day shift workers. Night shift workers sleep less hours, had higher weight, body mass index and abdominal circumference when compared to the day shift workers. Night shift workers had almost 3 times higher association with abdominal obesity independent of age and gender, than day shift workers. MCTQ parameters showed that night shift workers had lower sleep duration during working days and also during free days, associated with a higher level of social jetlag. Social jetlag had an association with obesity. We found no difference for quality of life between shifts.

CONCLUSIONS

Night work was a risk factor for abdominal obesity, social jetlag was higher in night shift workers and it was associated with presence of obesity.

Lifestyle and Shiftwork: Designing and Testing a Model for Health Promotion of Iranian Nurses

BACKGROUND: Lifestyle is one factor that forms the nurses' health, particularly those who work in shiftwork schedules. AIMS: The aim of this study was to design and test a model for health promotion of Iranian nurses. In this model, nurses' lifestyle was considered as the precedent, physical and mental health as the outcomes, and sleep disturbance and chronic fatigue as the mediators. METHODS: A cross-sectional study using structural equation modeling was conducted among 240 shiftworker nurses in Iran. The data collection was performed using the Persian versions of the Survey of Shiftworkers Questionnaire and Life Style Questionnaire. Bootstrap in Preacher and Hayes' Macro program was used for testing mediation. RESULTS: Lifestyle had a weak significant direct effect on physical (β = 0.13, p < .04) and mental health (β = 0.12, p < .02), and it had a significant indirect effect on physical health via chronic fatigue (β = -0.11, p < .001) and sleep disturbance (β = -0.05, p < .01). This variable only had a significant indirect effect on mental health via chronic fatigue (β = -0.19, p < .001). The final model proposed a new significant path between sleep disturbances and chronic fatigue (β = 0.22, p < .001). CONCLUSIONS: Therefore, the hospital officials can enhance the nurses' physical and mental well-being by providing interventions and training courses on aspects of healthy lifestyles, such as physical activity, avoidance of smoking, and maintenance of body weight.

Night work is related to higher global and central adiposity in Brazil: National Health Survey, 2013

BACKGROUND

Night work can disturb the natural circadian rhythm, leading to disruptions in metabolic rate and subsequent overall gain weight or even more harmful abdominal adiposity. Our aims were to investigate the associations between night work frequency and markers of overall and central obesity.

METHODS

We conducted a cross-sectional analysis of data from the Brazilian National Health Survey on over 35 500 current workers. Exposure to current night work was composed of three categories: daytime work (reference category), less than one night per week, and more than two nights per week. The body mass index and waist circumference were used as adiposity markers. Logistic and multinomial regression models were used, with adjustment for demographic characteristics, work conditions, self-related health, and health-related behaviors.

RESULTS

After complete adjustment, individuals who worked two or more nights a week had higher odds of overweight (odds ratio [OR]: 1.20, 95% CI: 1.04-1.38), obesity (OR: 1.38, 95% CI: 1.17-1.64) and increased waist circumference (OR: 1.27, 95% CI: 1.10-1.46) than daytime workers.

CONCLUSIONS

Night work was significantly associated with measures of adiposity. Changes in working conditions, such as controlling the numbers of nights worked per week or promoting workplaces with healthy meals and the opportunity to perform physical exercise at work, could be suggested.

Shift Work and Lifestyle Factors: A 6-Year Follow-Up Study Among Nurses

Objectives: To evaluate different work schedules, short rest time between shifts (quick returns), and night shift exposure for their possible adverse effects on different lifestyle factors in a 6-year follow-up study.

Methods: Data stemmed from “The Survey of Shiftwork, Sleep and Health,” a cohort study of Norwegian nurses started in 2008/9. The data analyzed in this sub-cohort of SUSSH were from 2008/9 to 2015 and consisted of 1,371 nurses. The lifestyle factors were: Exercise (≥1 h/week, <1 h/week), caffeine consumption (units/day), smoking (prevalence and cigarettes/day), and alcohol consumption (AUDIT-C score). We divided the nurses into four groups: (1) day workers, (2) night workers, (3) nurses who changed toward, and (4) nurses who changed away from a schedule containing night shifts. Furthermore, average number of yearly night shifts (NN), and average number of quick returns (QR) were calculated. Paired t-tests, McNemar tests, and logistic regression analyses were used in the analyses.

Results: We found a significant increase in caffeine consumption across all work schedule groups and a decline in smoking prevalence for day workers and night workers at follow-up. Analyses did not show any significant differences between groups when analyzing (1) different work schedules, (2) different exposures to QR, (3) different exposures to NN on the respective lifestyle factor trajectories.

Conclusion: We found no significant differences between the different work schedule groups or concerning different exposures to QR or NN when evaluating these lifestyle factor trajectories. This challenges the notion that shift work has an adverse impact on lifestyle factors.

BMI and Labor Market Participation: A Cohort Study of Transitions Between Work, Unemployment, and Sickness Absence

OBJECTIVE

This study aimed to test the hypotheses that individuals with obesity are at higher risk of unemployment and sickness absence and have a lower chance of getting employed compared with individuals with normal weight.

METHODS

Data on weight and height were collected at baseline from 87,796 participants in the Danish National Health Survey 2010. Participants were then followed in national registers for 5 years. Outcome measures were transitions from employment to unemployment and sickness absence and the transitions from unemployment or sickness absence to employment. Data were analyzed by Cox proportional hazards models adjusted for potential confounders.

RESULTS

Hazard ratios for unemployment were 1.18 (95% CI: 1.10-1.26) for individuals with obesity and 1.27 (95% CI: 1.14-1.41) for individuals with severe obesity compared with individuals with normal weight. Participants with obesity also had a higher risk of sickness absence. Additionally, participants with obesity who were unemployed at baseline had a lower chance of becoming employed compared with participants with normal weight.

CONCLUSIONS

Obesity was associated with a higher risk of unemployment and sickness absence compared with individuals with normal weight. Additionally, obesity was associated with a lower chance of employment.

Impact of shift work schedules on actigraphy-based measures of sleep in Hispanic workers: results from the Hispanic Community Health Study/Study of Latinos ancillary Sueño study

Study Objectives

To describe sleep characteristics of shift workers compared with day workers from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sueño ancillary study and test the hypothesis that shift work is associated with shorter sleep duration, worse sleep quality, greater sleep variability, and other sleep/health-related factors.

Methods

Employed adults (N = 1253, mean age 46.3 years, 36.3% male) from the Sueño study were included. Measures of sleep duration, timing, regularity, and continuity were calculated from 7 days of wrist-activity monitoring. Participants provided information on demographics, employment, work schedule (day, afternoon, night, split, irregular, and rotating), sleepiness, depressive symptoms, medications, caffeine, and alcohol use. Survey linear regression adjusting for age, sex, background, site, number of jobs, and work hours was used.

Results

In age and sex-adjusted models, all shift work schedules were associated with delayed sleep timing. Night and irregular schedules were associated with shorter sleep duration, greater napping, and greater variability of sleep. Afternoon and rotating shifts were associated with lower sleep regularity. In fully adjusted models, night and irregular schedules remained associated with shorter sleep duration, later sleep midpoint, and greater variability in sleep measures compared with day schedules. Split schedules were associated with, less time in bed, less sleep fragmentation, and less wake during the sleep period than day schedules.

Conclusions

Work schedule significantly affects sleep-wake with substantial differences between day work and other types of schedule. Detailed assessment of work schedule type not just night shift should be considered as an important covariate when examining the association between sleep and health outcomes.

Obesity in the Workplace: Impact, Outcomes, and Recommendations

OBJECTIVE

To conduct a comprehensive literature review to develop recommendations for managing obesity among workers to improve health outcomes and to explore the impact of obesity on health costs to determine whether a case can be made for surgical interventions and insurance coverage.

METHODS

We searched PubMed from 2011 to 2016, and CINAHL, Scopus, and Cochrane Registry of Clinical Trials for interventions addressing obesity in the workplace.

RESULTS

A total of 1419 articles were screened, resulting in 275 articles being included. Several areas were identified that require more research and investigation.

CONCLUSIONS

Our findings support the use of both lifestyle modification and bariatric surgery to assist appropriate patients in losing weight.

Fixed night workers and failed smoking cessation

Background

The objective of this study was to examine the relationship between employee work schedule and failure in smoking cessation.

Methods

Logistic regression was used to estimate the association between work schedule and failed smoking cessation rate among 4927 male workers who had attempted smoking cessation. The data was obtained from the annual Korean National Health and Nutrition Examination Survey from 2007 to 2015 (excluding data from 2013). An adjusted model, including demographic and occupational variables, was constructed after stratifying the data into two subgroups by age (the 19- to 40-year-old group and the 41- to 60-year-old group).

Results

The percentage of smoking-cessation failure varied according to work schedule and age. The failure rate in the 19- to 40-year-old group was generally higher for all work schedule categories than in the 41- to 60-year-old group. In particular, the highest percentage (90.9%) of smoking-cessation failure was in the fixed overnight work group. After adjusting for demographic characteristics and work organization variables, the odds ratio for failed smoking cessation across all ages was 3.30 (95%CI 2.23–4.86) among the fixed overnight workers compared to the daytime workers. Both of the age-stratified subgroups maintained this relationship, with a notably higher OR in the 19- to 40-year-old group (OR 3.74, 95% CI 1.80–7.77).

Conclusions

Fixed overnight work is likely to negatively affect smoking cessation compared to other work schedules. Tailored anti-smoking intervention programs are required based on work schedule.

Assessing and preventing low back pain in nurses. Implications for practice management

Background and aims:

The prevention of low back pain (LBP) among nurses employed in hospital departments represents a special concern for healthcare organizations globally. A growing literature evidences the need of workplace policy development related to organizational issues as strategic contribution to minimize the occurrence of LBP in healthcare sector. The purposes of this study were: 1) to analyze the relationship between shiftwork and acute LBP among female shift nurses; 2) to detect preventive interventions targeted on organizational issues.

Methods:

The authors conducted a cross-sectional nested case-control analysis of data concerning acute LBP and staffing data for 671 nurses employed in the Departments of General Practice and Elderly Care Medicine. The statistical analysis consisted of a logistic regression to calculate incidence odds ratios with 95% confidence intervals. Chi-square test and t-test were used to examine the relationship between categorical and continuous data, respectively.

Results:

The occurrence of acute LBP resulted significantly related to nightshift, extended shifts, obesity; the adoption of forward rotating schedules was found a protective factor in moderating the occupational risk of acute LBP in shift nurses.

Conclusions:

In this study the authors observed an association between shiftwork and acute LBP; improvement interventions should be aimed at: 1) moderating organizational risks linked with shiftwork schedules; 2) promoting healthy lifestyles. These interventions are suggested as a strategic way to effectively manage the phenomenon among female rotating shift nurses. (www.actabiomedica.it)

Is shift work associated with a higher risk of overweight or obesity? A systematic review of observational studies with meta-analysis

Background

An increasing number of original studies suggest that exposure to shift work could be associated with the risk of overweight and obesity, but the results remain conflicted and inconclusive. This study aimed to quantitatively synthesize available epidemiological evidence on the association between shift work and the risk of overweight and obesity by a meta-analysis.

Methods

The authors searched PubMed, Embase and the reference lists of all included studies up to April 2017, with a verification search in December 2017. Inclusion criteria were original studies that reported odds ratios, relative risks or hazard ratios (ORs, RRs or HRs, respectively) of at least one outcome of overweight or obesity. Summary risk estimates were calculated by random-effect models.

Results

Twenty-six studies (7 cohort studies, 18 cross-sectional studies and 1 case-control study) involving 311 334 participants were identified. Among these studies, the cut-off points of overweight and obesity varied greatly, so the heterogeneity was substantial; however, the results were stable. Shift work was found to be positively associated with the risk of overweight [RR: 1.25; 95% confidence interval (95% CI): 1.08-1.44] and obesity (RR: 1.17; 95% CI: 1.12-1.22).

Conclusions

Individuals involved in shift work are more likely to become overweight or obese. Appropriate preventive interventions in the organization of shift schedules according to ergonomic criteria would allow shift workers to avoid potential health impairment.

The Effect of Shift Work and Poor Sleep on Self-Reported Skin Conditions: A Survey of Call Center Agents in the Philippines

Night shift workers may have a disrupted circadian rhythm, which may contribute to the development of skin disease. The purpose of this study was to determine whether there is a significant difference in the prevalence and severity of self-reported skin disease between "regular" day shift workers compared to "graveyard" night shift workers. We conducted surveys from 630 call center agents in Manila, the Philippines, and they were analyzed regarding demographics, medical history, dermatologic history, lifestyle, and sleep. No difference was found in the prevalence of skin disease between shifts. However, night shift workers were worse sleepers. When compared to good sleepers, poor sleepers had a higher prevalence of skin disease with worse severity. Graveyard shift workers with poor sleep may have increased skin disease severity.

Rotating night shift work and nutrition of nurses and midwives

Previous research points to some inappropriate nutritional habits among nurses working night shifts. However, the knowledge of specific nutritional components of their diet has been limited. In the present study, we aimed to investigate the association between rotating night shifts of nurses and midwives and their usual dietary intake of energy and nutrients. A cross-sectional study was conducted among 522 Polish nurses and midwives: 251 working rotating night shifts (i.e. working night shift followed by a day off on a subsequent day) and 271 day workers. Polish adaptation of the Food Frequency Questionnaire, regarding 151 food items, was used to assess the usual dietary energy and nutrient intake. Data on occupational history and potential confounders were collected via face-to-face interviews. Body weight, height, waist and hip circumference were measured. Linear regression models: univariate (crude) and multivariate (adjusted) were run, with the nutrient intake as dependent variables, night work characteristics, and important confounders. Among nurses and midwives working rotating night shifts, a significantly higher adjusted mean intake was found for the total energy (2005 kcal vs 1850 kcal) and total fatty acids (77.9 g vs 70.4 g) when compared to day workers, as well as for cholesterol (277 mg vs 258 mg), carbohydrates (266 g vs 244 g) and sucrose (55.8 g vs 48.6 g). Night shift work duration was inversely related to the consumption of calcium, phosphorus, vitamin A, vitamin C and % energy from proteins. The higher energy consumption may contribute to increase risk of overweight and obesity among nurses working night shifts.

Nurses Consuming Energy Drinks Report Poorer Sleep and Higher Stress

The energy drink consumption habits of nurses working in clinical settings is unknown. Utilizing a descriptive-comparison design, researchers examined the caffeine and energy drink habits of clinical nurses and relationships or differences that existed with their sleep quantity, sleep quality, and perceived stress levels. Data were analyzed using descriptive and inferential statistics. Significant relationships existed between energy drink consumption and sleep quality, sleep quantity, and perceived stress levels. Nurses who consumed energy drinks had poorer sleep quality and fewer sleep hours compared with caffeine-only consumers and noncaffeine consumers. Nurses who consumed energy drinks also had increased levels of perceived stress than noncaffeine consumers. Educating nurses regarding energy drink ingredients and relationships that exist between energy drink consumption, sleep, and perceived stress could be beneficial. Future studies are needed to examine motivational factors related to energy drink consumption as well as any health or safety implications that might be associated.