Imperial College London

ProfessorGaryFrost

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Chair in Nutrition & Dietetics
 
 
 
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Contact

 

+44 (0)20 7594 0959g.frost Website

 
 
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Location

 

Commonwealth BiuldingHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gibson:2017:10.1136/bmjopen-2016-012927,
author = {Gibson, R and Eriksen, R and Lamb, K and Mcmeel, Y and Vergnaud, A and Spear, J and Aresu, M and Chan, Q and Elliott, P and Frost, G},
doi = {10.1136/bmjopen-2016-012927},
journal = {BMJ Open},
title = {Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (the airwave health monitoring study)},
url = {http://dx.doi.org/10.1136/bmjopen-2016-012927},
volume = {7},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Objectives: Dietary intake is a key aspect of occupational health. To capture the characteristics of dietary behaviour that is affected by occupational environment that may impact on disease risk, collection of prospective multi-day dietary records are required. The aims of this paper are to: i) the collection of multi day dietary data in the Airwaves health monitoring study, ii) describe the dietarycoding procedures applied and iii) investigate the plausibilityof dietary reporting in this occupational cohort. Design: A dietary coding protocol for this large-scale studywas developed to minimise coding error rate. Participants (n4,412) who completed 7-day food records were included for cross-sectional analyses. Energy intake misreporting wasestimated using the Goldberg method. Multivariate logistic regression models were applied to determine participant characteristics associated with energy intake misreporting. Setting: British police force employees enrolled (2007 to 2012) into the Airwave Health Monitoring Study. Results: The mean code error rate per food diary was3.7% (SD 3.2%). The strongest predictors of energy intake under-reporting were body mass index (BMI) and physical activity. Compared to participants withBMI <25kg/m2, thosewith BMI >30kg/m2 had increased odds of being classified as under-reporting energy intake (men OR 5.20 95%CI 3.92, 6.89; women OR 2.66 95%CI 1.85, 3.83). Men and women in the highest physical activity category compared to the lowest were also more likely to be classified as under-reporting (men OR 3.33 95%CI 2.46, 4.50; women OR 4.34 95%CI 2.91, 6.55). Conclusions: A reproducible dietary record coding procedure has been developed to minimise coding error in complex 7-day diet diaries. The prevalence of energy intake under-reporting is comparable to existingnational UK cohortsand, in agreement with p
AU - Gibson,R
AU - Eriksen,R
AU - Lamb,K
AU - Mcmeel,Y
AU - Vergnaud,A
AU - Spear,J
AU - Aresu,M
AU - Chan,Q
AU - Elliott,P
AU - Frost,G
DO - 10.1136/bmjopen-2016-012927
PY - 2017///
SN - 2044-6055
TI - Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (the airwave health monitoring study)
T2 - BMJ Open
UR - http://dx.doi.org/10.1136/bmjopen-2016-012927
UR - http://hdl.handle.net/10044/1/43581
VL - 7
ER -