Division of Preventive Medicine, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Ann Work Expo Health. 2018 Nov 12;62(9):1096-1108. doi: 10.1093/annweh/wxy078.
In epidemiological studies of work-related ill-health only current exposures can, at best, be measured. Previous exposures may be estimated using contemporaneous hygiene records or published data. This study aimed to create a job exposure matrix for exposure in bakers for use in an ongoing cohort study.
A systematic review was conducted of English language publications on exposures in bakeries. All publications that appeared to contain quantitative measures of exposure to flour dust, wheat allergen, or fungal α-amylase were read independently by two investigators and relevant data extracted. A third investigator reviewed these data and publications were retained that reported full-shift exposures to inhalable dust, wheat allergen, or α-amylase, and for which geometric means (GMs) were given or could be estimated. For each study, the number of sampling results contributing to each GM was recorded together with information on task, bakery size, product, filter type, sampling head, the country in which the study was conducted, and the estimated year of sampling. Multivariable models were elaborated for each exposure using a linear mixed effects approach. The predictive capacity of the model for inhaled particles was tested against samples collected in eight Alberta bakeries. The capacity of exposure intensity, estimated from each of the three models, to predict sensitization was tested against skin prick testing (SPT) for bakery allergens in bakers currently employed in Alberta.
One thousand three hundred and ninety-seven publications were identified through the systematic search, of which 27 had data used to create one or more of the predictive models. Weighted GMs were used as outcome variables. For inhalable dust, task, bakery size, type of sampling head, and year of sampling contributed to the final model. For wheat allergen and α-amylase, task, bakery size, sampling head, and year of sampling again contributed. Product (bread rather than confectionary or mixed products) was also important in these two latter measures. The model for inhalable dust was used to predict the concentration in 33 samples from Alberta bakeries. Overall, 91% of observed samples had 95% confidence intervals (CIs) overlapping the 95% CIs of the predicted values. A model including the Alberta samples found no effect attributable to Alberta provenance. Using this model for inhalable dust and the models developed solely from the literature for wheat allergen and α-amylase, a positive SPT for bakery allergens in 57 bakers recruited for this study was significantly related to log cumulative exposure for each of the three outcome variables and to log exposure intensity for wheat allergen and α-amylase.
The exposure models developed from the literature provide useful estimates of exposure. Calibration of the models against locally collected samples may be useful for countries poorly represented in the modeling dataset.
在与工作相关的健康不良的流行病学研究中,最多只能测量当前的暴露情况。以前的暴露情况可以使用同期的卫生记录或已发表的数据进行估计。本研究旨在为面包师的暴露情况创建一个职业暴露矩阵,用于正在进行的队列研究。
对有关面包店暴露情况的英文文献进行了系统综述。由两位研究人员独立阅读所有似乎包含面粉尘、小麦过敏原或真菌 α-淀粉酶暴露定量测量的出版物,并提取相关数据。第三位研究人员对这些数据和出版物进行了审查,仅保留了报告了全班暴露于可吸入粉尘、小麦过敏原或 α-淀粉酶的出版物,并且给出了或可以估计出几何平均值 (GM)。对于每项研究,记录了为每个 GM 做出贡献的采样结果数量,以及任务、面包店规模、产品、过滤器类型、采样头、研究所在的国家以及估计的采样年份的信息。使用线性混合效应方法为每个暴露情况制定了多变量模型。使用来自八个艾伯塔省面包店的样本对吸入颗粒预测模型的预测能力进行了测试。使用来自三个模型中的每个模型估计的暴露强度来预测当前在艾伯塔省工作的面包师的过敏反应的能力进行了皮肤点刺测试 (SPT) 针对面包店过敏原的测试。
通过系统搜索确定了 1397 篇出版物,其中 27 篇出版物的数据用于创建一个或多个预测模型。使用加权 GM 作为结果变量。对于可吸入粉尘,任务、面包店规模、采样头类型和采样年份对最终模型做出了贡献。对于小麦过敏原和 α-淀粉酶,任务、面包店规模、采样头和采样年份再次做出了贡献。产品(面包而非糖果或混合产品)在这两个后测指标中也很重要。用于预测艾伯塔省面包店 33 个样本浓度的吸入粉尘模型。总体而言,91%的观察样本的 95%置信区间 (CI) 与预测值的 95%CI 重叠。包括艾伯塔省样本的模型发现,艾伯塔省来源没有归因于艾伯塔省的影响。使用该模型进行吸入粉尘,以及仅使用文献中为小麦过敏原和 α-淀粉酶开发的模型,对这项研究中招募的 57 名面包师进行的面包店过敏原 SPT 阳性与三个结果变量的累积暴露对数和小麦过敏原和 α-淀粉酶的暴露强度对数呈正相关。
从文献中开发的暴露模型提供了有用的暴露估计值。针对模型数据集中代表性不足的国家对模型进行校准可能是有用的。