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Characterizing paraben exposure and source contributions in Korea: A personalized exposure factor-based approach
Areum Jo1, Sunmi Kim2, Kiyoung Lee3
1Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea; Seosan Joint Disaster Prevention Center for Chemical Accidents, Ministry of Climate, Energy and Environment, Seosan, 31907, Republic of Korea.
A new model, PerFactExpo, accurately estimates paraben exposure by integrating personal data, reducing overestimations common in conventional methods. This helps identify key exposure sources like personal care products and diet for targeted reduction strategies.
Area of Science:
- Environmental Health
- Toxicology
- Risk Assessment
Background:
- Parabens are common preservatives found in diet and personal care products (PCPs).
- Accurate exposure assessment is crucial for managing risks associated with parabens.
- Traditional methods often overestimate high-end exposure levels (RME).
Purpose of the Study:
- To develop and evaluate the Personalized Exposure Factor-Based Exposure Assessment (PerFactExpo) model for estimating aggregate paraben exposure.
- To compare PerFactExpo estimates with conventional deterministic methods.
- To identify major sources of paraben exposure in the Korean population.
Main Methods:
- Integrated individual-level dietary and product-use data from national databases.
- Developed the PerFactExpo model for personalized exposure assessment.
- Compared deterministic central tendency exposure (CTE) and reasonable maximum exposure (RME) estimates with PerFactExpo results.
Main Results:
- PerFactExpo's CTE estimates were similar to deterministic approaches.
- PerFactExpo's RME estimates were up to 7.6-fold lower than deterministic RME, reducing overestimation.
- Personal care products were major sources for methyl-, propyl-, and butylparaben; fermented soy products for ethylparaben.
Conclusions:
- The PerFactExpo model provides a more realistic assessment of aggregate paraben exposure.
- The model effectively identifies key exposure contributors for targeted risk management.
- Findings support personalized exposure assessment frameworks for consumer chemical safety.
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