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).
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).
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DOI：
10.1136/bmjopen-2016-012927
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发表时间：
2017-04-04
期刊：
影响因子：
2.9
通讯作者：
Frost G
中科院分区：
文献类型：
--
作者：
Gibson R;Eriksen R;Lamb K;McMeel Y;Vergnaud AC;Spear J;Aresu M;Chan Q;Elliott P;Frost G
饮食摄入是职业健康的一个关键方面。为了捕捉受可能影响疾病风险的职业环境影响的饮食行为特征，需要收集多日的前瞻性饮食记录。本文的目的是：(1)收集电波健康监测研究中的多日饮食数据，(2)描述所应用的饮食编码程序，(3)调查该职业队列中饮食报告的合理性。为这项大规模研究制定了膳食编码方案，以尽量减少编码错误率。完成7天饮食记录的参与者（n 4412）被纳入横断面分析。采用Goldberg方法对能量摄入（EI）误报进行估计。应用多元逻辑回归模型来确定与EI误报相关的参与者特征。英国警察部队雇员（2007-2012年）参加了电波健康监测研究。每份食物日记的平均编码错误率为3.7% （SD 3.2%）。体质指数（BMI）和身体活动量是EI低报的最有力预测因子。与BMI<25 kg/m2的参与者相比，BMI超过30 kg/m2的参与者被归类为低报EI的几率增加（男性OR 5.20 95% CI 3.92至6.89；女性OR 2.66 95% CI 1.85至3.83）。与体力活动最少的男性和女性相比，体力活动最多的男性和女性更有可能被归类为报告不足（男性OR 3.33 95% CI 2.46至4.50；女性OR 4.34 95% CI 2.91至6.55）。开发了一种可重复的饮食记录编码程序，以尽量减少复杂的7天饮食日记中的编码错误。EI低报的流行程度与现有的英国国家队列相当，并且与先前的研究一致，低报的分类偏向于特定的参与者亚组。
Dietary 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. A 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. British police force employees enrolled (2007–2012) into the Airwave Health Monitoring Study. The 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/m2, those with BMI>30 kg/m2 had increased odds of being classified as under-reporting EI (men OR 5.20 95% CI 3.92 to 6.89; women OR 2.66 95% CI 1.85 to 3.83). Men and women in the highest physical activity category compared with the lowest were also more likely to be classified as under-reporting (men OR 3.33 95% CI 2.46 to 4.50; women OR 4.34 95% CI 2.91 to 6.55). A 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.