Department of Public Health Sciences, University of California, Davis, California, USA.
J Expo Sci Environ Epidemiol. 2012 Mar-Apr;22(2):148-60. doi: 10.1038/jes.2011.40. Epub 2011 Dec 21.
Traditionally, use of household and personal care products has been collected through questionnaires, which is very time consuming, a burden on participants, and prone to recall bias. As part of the SUPERB Project (Study of Use of Products and Exposure-Related Behaviors), a novel platform was developed using bar codes to quickly and reliably determine what household and personal care products people have in their homes and determine the amount used over a 1-week period. We evaluated the acceptability and feasibility of our methodology in a longitudinal field study that included 47 California households, 30 with young children and 17 with an older adult. Acceptability was defined by refusal rates; feasibility was evaluated in terms of readable bar codes, useful product information in our database for all readable barcodes, and ability to find containers at both the start and end of the week. We found 63% of personal care products and 87% of the household care products had readable barcodes with 47% and 41% having sufficient data for product identification, respectively and secondly, the amount used could be determined most of the time. We present distributions for amount used by product category and compare inter- and intra-person variability. In summary, our method appears to be appropriate, acceptable, and useful for gathering information related to potential exposures stemming from the use of personal and household care products. A very low drop-out rate suggests that this methodology can be useful in longitudinal studies of exposure to household and personal care products.
传统上,家用和个人护理产品的使用情况是通过问卷调查收集的,这非常耗时,给参与者带来负担,并且容易出现回忆偏差。作为 SUPERB 项目(产品使用和相关行为研究)的一部分,我们开发了一个使用条形码的新平台,以快速可靠地确定人们家中拥有哪些家用和个人护理产品,并确定在一周内的使用量。我们在一项包括 47 户加州家庭的纵向实地研究中评估了我们方法的可接受性和可行性,其中 30 户有年幼子女,17 户有老年人。可接受性通过拒绝率来定义;可行性则根据可读条形码的数量、我们数据库中所有可读条形码的有用产品信息以及在一周开始和结束时找到容器的能力来评估。我们发现 63%的个人护理产品和 87%的家用护理产品具有可读的条形码,分别有 47%和 41%具有足够的数据用于产品识别,其次,大多数时候可以确定使用量。我们展示了按产品类别划分的使用量分布,并比较了个体间和个体内的可变性。总之,我们的方法似乎适用于收集与个人和家用护理产品使用相关的潜在暴露信息,是可以接受且有用的。极低的退出率表明,这种方法在研究家用和个人护理产品暴露的纵向研究中可能很有用。