ArticleBMJ open2017
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).
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Free-Living Dietary Intake in Tactical Personnel and Implications for Nutrition Practice: A Systematic Review.Nutrients · 2021Pooled it
- Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.PloS one · 2019Trial
- The role of Mediterranean diet adherence, smoking and their interactions in epigenetic age acceleration: A cross-sectional analysis of the Airwave cohort.The journal of nutrition, health & aging · 2026Article
- Characterising the impact of shift work on diet and glucose variability in healthcare employees living with type 2 diabetes: The Shift-Diabetes study.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study.The Journal of clinical endocrinology and metabolism · 2024Article
- Evidence of gene-nutrient interaction association with waist circumference, cross-sectional analysis.BMC public health · 2024Article
- Associations of Systematic Inflammatory Markers with Diet Quality, Blood Pressure, and Obesity in the AIRWAVE Health Monitoring Study.Journal of inflammation research · 2024Article
- Serum 5-Methyltetrahydrofolate Status Is Associated with One-Carbon Metabolism-Related Metabolite Concentrations and Enzyme Activity Indicators in Young Women.International journal of molecular sciences · 2023Article
- Lifestyle Score and Risk of Hypertension in the Airwave Health Monitoring Study of British Police Force Employees.International journal of environmental research and public health · 2023Article
- Effect of Pomegranate Extract Consumption on Satiety Parameters in Healthy Volunteers: A Preliminary Randomized Study.Foods (Basel, Switzerland) · 2022Article
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- Dietary Intake in Law Enforcement Personnel: Occupation Is an Additional Challenge for Changing Behavior.Nutrients · 2022Article
- Pilot Randomized Controlled Trial of a Standard Versus a Modified Low-Phosphorus Diet in Hemodialysis Patients.Kidney international reports · 2020Article
- Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study.EBioMedicine · 2020Article
- Quantifying Diet Intake and Its Association with Cardiometabolic Risk in the UK Airwave Health Monitoring Study: A Data-Driven Approach.Nutrients · 2020Article
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- Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.American journal of epidemiology · 2019Article
- Gene-diet quality interactions on haemoglobin A1c and type 2 diabetes risk: The Airwave Health Monitoring Study.Endocrinology, diabetes & metabolism · 2019Article
- Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectivesDietary intake is a key aspect of occupational health. To capture the characteristics of dietary behaviour that is affected by occupational environment that may affect disease risk, a collection of prospective multiday dietary records is required. The aims of this paper are to: (1) collect multiday dietary data in the Airwave Health Monitoring Study, (2) describe the dietary coding procedures applied and (3) investigate the plausibility of dietary reporting in this occupational cohort.
designA dietary coding protocol for this large-scale study was developed to minimise coding error rate. Participants (n 4412) who completed 7-day food records were included for cross-sectional analyses. Energy intake (EI) misreporting was estimated using the Goldberg method. Multivariate logistic regression models were applied to determine participant characteristics associated with EI misreporting.
settingBritish police force employees enrolled (2007-2012) into the Airwave Health Monitoring Study.
resultsThe mean code error rate per food diary was 3.7% (SD 3.2%). The strongest predictors of EI under-reporting were body mass index (BMI) and physical activity. Compared with participants with BMI<25 kg/m
conclusionsA reproducible dietary record coding procedure has been developed to minimise coding error in complex 7-day diet diaries. The prevalence of EI under-reporting is comparable with existing national UK cohorts and, in agreement with previous studies, classification of under-reporting was biased towards specific subgroups of participants.
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