Shift work schedule and night work load: Effects on body mass index – a four-year longitudinal study

2018 ◽  
Vol 44 (3) ◽  
pp. 251-257 ◽  
Author(s):  
Hogne Vikanes Buchvold ◽  
Ståle Pallesen ◽  
Siri Waage ◽  
Bjørn Bjorvatn
Keyword(s):  
Body Mass Index ◽  
Longitudinal Study ◽  
Body Mass ◽  
Shift Work ◽  
Work Load ◽  
Night Work ◽  
Work Schedule ◽  
Load Effects ◽  
Shift Work Schedule

scholarly journals Body mass index, shift work and food consumption: what relationship?

2021 ◽  
Vol 31 (Supplement_2) ◽  
Author(s):  
Carolina Morgado ◽  
João Lima
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Shift Work ◽  
Online Survey ◽  
Negative Influence ◽  
The Body ◽  
Fruit And Vegetables ◽  
Work Schedule ◽  
Shift Workers ◽  
Increased Risk

Abstract Background A significant percentage of the population is working on shift work and according to several studies this type of work schedule has been associated with an increased risk of developing some pathologies, such as obesity, which are one of the biggest mortality causes in the world. To understand if the shift work has a negative influence on the workers' diet and if it affects the Body Mass Index. Methods Observational and cross-sectional research was conducted, through an online survey designed for this purpose, including fruit and vegetables consumption, sociodemographic characteristics, shift work schedule, sleep hours and reported values of weight and height. The study was ethical approval and statistical analysis was performed using the IBM SPSS Statistics software. A critical significance level of 5% was considered. Results 145 workers were evaluated with an average age of 35.90 ± 10.92 years and an average Body Mass Index of 25.12 ± 4.54 kg/m2, 76.6% were female. 51.7% of the individuals worked on shift work. Body Mass Index of shift workers is higher than Body Mass Index day shift workers (P = 0.001), and they sleep, on average, less hours than day workers. No differences was observed related to fruit and vegetables consumptions. Shift workers reported to have higher difficult to management food intake when compared with day workers (P < 0.001). Conclusions Shift work seems to have a negative influence on the workers' sleep and in Body Mass Index. This study is important to develop, in the future, individualized strategies, for these workers

scholarly journals Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e023247 ◽  
Author(s):  
Amy L Hall ◽  
Göran Kecklund ◽  
Constanze Leineweber ◽  
Philip Tucker
Keyword(s):  
Shift Work ◽  
Anatomical Therapeutic Chemical ◽  
Night Shift ◽  
Primary Outcome Measure ◽  
Night Work ◽  
Registry Data ◽  
Chemical System ◽  
Future Research ◽  
Work Schedule ◽  
Drug Register

IntroductionDepression-related mood disorders affect millions of people worldwide and contribute to substantial morbidity and disability, yet little is known about the effects of work scheduling on depression. This study used a large Swedish survey to prospectively examine the effects of work schedule on registry-based antidepressant prescriptions in females and males over a 2-year period.MethodsThe study was based on an approximately representative sample (n=3980 males, 4663 females) of gainfully employed participants in the Swedish Longitudinal Occupational Survey of Health. Sex-stratified analyses were conducted using logistic regression. For exposure, eight categories described work schedule in 2008: ‘regular days’ (three categories of night work history: none, ≤3 years, 4+ years), ‘night shift work’, ‘regular shift work (no nights)’, ‘rostered work (no nights)’, ‘flexible/non-regulated hours’ and ‘other’. For the primary outcome measure, all prescriptions coded N06A according to the Anatomical Therapeutic Chemical System were obtained from the Swedish National Prescribed Drug Register and dichotomised into ‘any’ or ‘no’ prescriptions between 2008 and 2010. Estimates were adjusted for potential sociodemographic, health and work confounders, and for prior depressive symptoms.ResultsIn 2008, 22% of females versus 19% of males worked outside of regular daytime schedule. Registered antidepressant prescription rates in the postsurvey period were 11.4% for females versus 5.8% for males. In fully adjusted models, females in ‘flexible/non-regulated’ schedules showed an increased OR for prospective antidepressant prescriptions (OR=2.01, 95% CI=1.08 to 3.76). In males, odds ratios were most increased in those working ‘other’ schedules (OR=1.72, 95% CI=0.75 to 3.94) and ‘Regular days with four or more years’ history of night work’ (OR=1.54, 95% CI=0.93 to 2.56).ConclusionsThis study’s findings support a relationship between work schedule and prospective antidepressant prescriptions in the Swedish workforce. Future research should continue to assess sex-stratified relationships, using detailed shift work exposure categories and objective registry data where possible.

Changes in body mass index and incidence of diabetes: A longitudinal study of Alberta's Tomorrow Project Cohort

2018 ◽  
Vol 106 ◽  
pp. 157-163 ◽  
Author(s):  
Ming Ye ◽  
Paula J. Robson ◽  
Dean T. Eurich ◽  
Jennifer E. Vena ◽  
Jian-Yi Xu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Longitudinal Study ◽  
Body Mass

scholarly journals Correlation of shift work and waist circumference, body mass index, chronotype and depressive symptoms

2010 ◽  
Vol 54 (7) ◽  
pp. 652-656 ◽  
Author(s):  
Luciana da Conceição Antunes ◽  
Manoela Neves da Jornada ◽  
Letícia Ramalho ◽  
Maria Paz Loayza Hidalgo
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Waist Circumference ◽  
Body Mass ◽  
Shift Work ◽  
Self Report ◽  
Metabolic Disturbances ◽  
Anthropometric Measures ◽  
Shift Workers ◽  
Health Area

OBJECTIVE: Correlate shift work with body mass index (BMI), waist circumference, chronotype and depressive symptoms. SUBJECTS AND METHODS: This study comprising 14 shift workers and 13 day workers. Subjects were workers from the health area aged 25 to 60 years. Minor psychiatric disorders were accessed by Self Report Questionnaire (SRQ-20) and depressive symptoms by Beck Depression Inventory (BDI). Chronotype was accessed using Morningness-Eveningness Questionnaire (MEQ). Anthropometric measures were taken. RESULTS: Shift workers presented higher BMI (P = 0.03) and waist circumference (P = 0.004) than day workers. Years on shift work were significantly correlated to waist circumference (r = 0.43; P = 0.03) and age (r = 0.47; P = 0.02). Shift work was not correlated with depressive symptoms and chronotype. CONCLUSION: These results may suggest a role played by shift work on the development and/or the early clinic manifestations of metabolic disturbances, becoming a risk factor to metabolic syndrome.

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