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A comparison of abdominal and visceral fat, energy intakes and perceived stress between shift and non-shift workers

Published online by Cambridge University Press:  15 April 2015

K. Giles
Affiliation:
Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen AB21 9SB
N. G. Maloney
Affiliation:
Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen AB21 9SB
C. L. Fyfe
Affiliation:
Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen AB21 9SB
C. Cooper
Affiliation:
Health Science Building, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD
A. Lorenzo-Arribas
Affiliation:
Biomathematics and Statistics Scotland, University of Aberdeen, Aberdeen AB21 9SB
D. B. O'Connor
Affiliation:
Institute of Psychological Sciences, University of Leeds, Leeds, West Yorkshire LS2 9JT
A. M. Johnstone
Affiliation:
Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen AB21 9SB
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2015 

Shift work has been linked with adverse health and unhealthy behaviours including obesity(Reference Atkinson, Fullick and Grindey1), cardiovascular disease(Reference Harrington2, Reference Lowden, Moreno and Holmback3), increased snacking(Reference Atkinson, Fullick and Grindey1), fatigue, sleep and digestive problems, depression, anxiety, disruptions in circadian rhythm and perceived stress(Reference Scott and Johnstone4). The present workplace study is part of the NeuroFAST project, which examines the link between stress and eating behaviour in shift and non-shift workers.

Body composition measurements were made using the Tanita AB 140 abdominal fat analyser to assess abdominal and visceral fat in 83 male and 222 female non-shift workers with a mean (SEM) age of 42·4 (0·70) years and mean body mass index (BMI) of 25·6 (0·28) kg/m2 and 93 male and 24 female shift workers with a mean age of 38·7 (0·72) years and mean BMI of 26·8 (0·32) kg/m2. Energy intake (EI) was measured by 7-d weighed intake food diary record. Perceived stress levels were measured using the DASS-21(Reference Lovibond and Lovibond5) questionnaire and ‘daily hassles’ or stressors(Reference O'Connor, Jones and Conner6) were recorded using daily diaries for 7-d.

Mean (SEM) abdominal fat percentages for non-shift workers were 27·8 (0·87)% for males and 35·1 (0·66)% for females, 27·5 (0·82)% for male shift workers and 34·1 (1·99)% for female shift workers. Mean EI/d for non-shift workers was 1,957 (27·5) kcal/d and 2,297 (71·4) kcal/d for shift workers for the 7-d period. ANOVA and regression analyses showed that, after controlling for age and BMI, there was a significant effect of mean EI kcal on abdominal fat percentage for males (p = 0·005) and for females (p = 0·042). However, there were no significant effects of DASS-21 stress or total number of daily hassles per week. Mean (SEM) visceral fat levels for non-shift workers were 8·80 (0·29) (not split by gender) and 11·22 (0·52) for shift workers. After controlling for age and BMI, this difference was found to be statistically significant (p < 0·001). There was no statistically significant effect of mean EI kcal (p = 0·149), DASS-21 stress (p = 0·164) or total number of daily hassles per week (p = 0·317) on visceral fat level after controlling for age, BMI and shift pattern.

In conclusion, our results support previous studies which have shown the detrimental health effects of shift work. An excess of visceral fat, the fat which surrounds the internal organs of the body, can predispose individuals to a greater risk of diseases such as cardiovascular disease and diabetes. An online study is currently underway, as part of the NeuroFAST project, to further examine health and eating behaviours, including snacking, and daily hassles and stressors. The project will provide the necessary evidence to inform future health policy initiatives.

The work is funded by the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement n° 245009 for the ‘NeuroFAST’ grant.

References

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2.Harrington, JM (2001) Occup Environ Med 58, 6872.Google Scholar
3.Lowden, A, Moreno, C, Holmback, U et al. (2010) Scand J Work Environ Health 36 (2), 150162.Google Scholar
4.Scott, C & Johnstone, AM (2012) Obes Facts 5, 277287.Google Scholar
5.Lovibond, SH & Lovibond, PF (1995) In Manual for the Depression Anxiety Stress Scales, 2nd ed., Sydney: Psychology Foundation.Google Scholar
6.O'Connor, DB, Jones, F, Conner, M et al. (2008) Health Psychol 27(1), S20–31.Google Scholar