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韩国个人护理用品使用模式分析及概率风险评估。

Analysis of usage patterns and probabilistic risk assessment of personal care products in Korea.

机构信息

Department of Integrative Bioscience and Biotechnology, College of Life Science, Sejong University, Seoul, 5006, South Korea.

Korea National Council of Consumer Organizations, YWCA Bld. #701, 20, Myungdong11gil, Seoul, South Korea.

出版信息

Food Chem Toxicol. 2022 Nov;169:113456. doi: 10.1016/j.fct.2022.113456. Epub 2022 Oct 4.

DOI:10.1016/j.fct.2022.113456
PMID:36202306
Abstract

In daily life, many people use large amounts of personal care products (PCPs) on a regular basis. For determining the risk to consumers, product usage amount, frequency of use, and co-use patterns are essential information. In this study, the PCP usage patterns of Korean consumers were analyzed, and the data were used to develop a probabilistic risk assessment. A web-based questionnaire was used to evaluate the PCP usage patterns of consumers. A model developed by Crème Global in conjunction with the Research Institute for Fragrance Materials was used to measure the systemic exposure to PCP ingredients. The use rates of 10 PCP family are compared with reported values obtained for populations in California and Switzerland which showed some distinct characteristics of Korean consumers. The co-use combinations of the 10 families of products frequently used by consumers were analyzed in an attempt to calculate aggregate exposure. Seven ingredients were selected and the aggregate risk assessment were performed based on bootstrapping analysis. The probability of the Hazard Quotient of all seven ingredients exceeding 1 was zero. The data of the usage patterns of Korean consumers reported here will be of value in developing more precise aggregate exposure risk analysis.

摘要

在日常生活中,许多人经常使用大量的个人护理产品(PCP)。为了确定对消费者的风险,产品使用量、使用频率和共同使用模式是重要信息。在这项研究中,分析了韩国消费者的 PCP 使用模式,并使用这些数据开发了概率风险评估。我们使用基于网络的问卷调查来评估消费者的 PCP 使用模式。Crème Global 与香料研究所合作开发的模型用于测量 PCP 成分的系统暴露。10 种 PCP 家族的使用率与加利福尼亚州和瑞士人群的报告值进行了比较,这些数据显示了韩国消费者的一些独特特征。分析了消费者经常使用的 10 种产品家族的共同使用组合,试图计算总暴露量。选择了七种成分,并基于自举分析进行了总风险评估。所有七种成分的危险商数超过 1 的概率为零。这里报告的韩国消费者使用模式数据将有助于开发更精确的总暴露风险分析。

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