TL;DR: Results of this analysis indicate that age and location are important for hand-to-mouth frequency, but study and gender are not, and using the best fitting exposure factor distribution will help improve estimates of exposure.
Abstract: Because of their mouthing behaviors, children have a higher potential for exposure to available chemicals through the nondietary ingestion route; thus, frequency of hand-to-mouth activity is an important variable for exposure assessments. Such data are limited and difficult to collect. Few published studies report such information, and the studies that have been conducted used different data collection approaches (e.g., videography versus real-time observation), data analysis and reporting methods, ages of children, locations, and even definitions of "mouthing." For this article, hand-to-mouth frequency data were gathered from 9 available studies representing 429 subjects and more than 2,000 hours of behavior observation. A meta-analysis was conducted to study differences in hand-to-mouth frequency based on study, age group, gender, and location (indoor vs. outdoor), to fit variability and uncertainty distributions that can be used in probabilistic exposure assessments, and to identify any data gaps. Results of this analysis indicate that age and location are important for hand-to-mouth frequency, but study and gender are not. As age increases, both indoor and outdoor hand-to-mouth frequencies decrease. Hand-to-mouth behavior is significantly greater indoors than outdoors. For both indoor and outdoor hand-to-mouth frequencies, interpersonal, and intra-personal variability are approximately 60% and approximately 30%, respectively. The variance difference among different studies is much bigger than its mean, indicating that different studies with different methodologies have similar central values. Weibull distributions best fit the observed data for the different variables considered and are presented in this article by study, age group, and location. Average indoor hand-to-mouth behavior ranged from 6.7 to 28.0 contacts/hour, with the lowest value corresponding to the 6 to <11 year olds and the highest value corresponding to the 3 to <6 month olds. Average outdoor hand-to-mouth frequency ranged from 2.9 to 14.5 contacts/hour, with the lowest value corresponding to the 6 to <11 year olds and the highest value corresponding to the 6 to <12 month olds. The analysis highlights the need for additional hand-to-mouth data for the <3 months, 3 to <6 months, and 3 to <6 year age groups using standardized collection and analysis because of lack of data or high uncertainty in available data. This is the first publication to report Weibull distributions as the best fitting distribution for hand-to-mouth frequency; using the best fitting exposure factor distribution will help improve estimates of exposure. The analyses also represent a first comprehensive effort to fit hand-to-mouth frequency variability and uncertainty distributions by indoor/outdoor location and by age groups, using the new standard set of age groups recommended by the U.S. Environmental Protection Agency for assessing childhood exposures. Thus, the data presented in this article can be used to update the U.S. EPA's Child-Specific Exposure Factors Handbook and to improve estimates of nondietary ingestion in probabilistic exposure modeling.
TL;DR: Wang et al. as discussed by the authors developed a multi-index fuzzy comprehensive evaluation model (MFCE model) for flood disaster risk, which contains three input indicators: the hazard factor, the exposure factor and the vulnerability factor.
Abstract: Flood is a commonly-seen disaster, which has the potential to cause severe impact on the daily operations of cities and endanger the safety of people. In this study, a multi-index fuzzy comprehensive evaluation model (MFCE model) for flood disaster risk is developed. The MFCE model contains three input indicators: the hazard factor, the exposure factor and the vulnerability factor. In addition, these three indicators contain eight sub-indicators. Hazard factors are obtained using the DigitalWater Simulation hydrodynamic model (DS Model) developed by Chinese scholars. Then, hazard factors, exposure factors and vulnerability factors are all put into the geographic information system (GIS) to accomplish overlay analysis and fuzzy matrix calculation. The method has been successfully applied to the flood disaster risk assessment in the urban area of Yifeng, Jiangxi Province, China. The assessment results show that compared with the risk assessment of the MFCE model, the risk distribution map of the hazard factor changes greatly when the study area encounters the storm of 50a. The very high risk zones may occur somewhere with serious flooding, high impermeability and high building density.
TL;DR: Investigation of human exposure factors of Chinese people based on the reference of the framework of the US EPA exposure factors handbook and the statistical analysis of current nation-wide surveys and relevant literatures shows that inhalation rates vary with different ages, but males are higher than for females.
Abstract: Human exposure factor plays a critical role in health risk assessment.This paper investigates human exposure factors of Chinese people based on the reference of the framework of the US EPA exposure factors handbook and the statistical analysis of current nation-wide surveys and relevant literatures.The factors are categorized into three types: ingestion,dermal exposure and inhalation.Results show that inhalation rates vary with different ages,and range from 5.71 to 19.02(m~3/d.) For people below 18 years old,inhalation rates in different activity modes show no statistically significant differences between males and females.However,for people from 18 to 60 years old,inhalation rates for males are higher than for females.Daily dietary intake of adults is(1176.3) g,among which ingestion of rice and flour products is 23% and 13% of the total daily dietary intake,respectively.Body surface area of adults is 1.697 m~2 for males and 1.531 m~2 for females.Body weight of adults is 62.70 kg for males and 54.40 kg for females.Results show 2.5%-33.3% differences of exposure factors between this study and those reported in the US EPA exposure factor handbook.The use of exposure factors inform the US EPA or other countries in exposure or health risk assessment may cause bias.There is urgent need to carry out nation-wide research and survey on exposure factors for Chinese people.
TL;DR: Modeling infiltration and exposure factors as the modifications of personal exposure to ambient PM2.5, PM10, O3, NO2, and SO2 for all seasons, genders, and ages in 31 Chinese provinces could help in reducing the bias in the estimation of the health effects of air pollutants.
TL;DR: The exposure factors of 10 consumer products (face cleanser, toothpaste, shampoo, hair conditioner, body wash, dish and laundry detergents, fabric deodorizer, antistatic spray, and shoe polish) were determined.