Publications by authors named "M G Gillan"
Due to chronic exposure to elevated levels of arsenic in drinking water, thousands of Californians have increased risk for internal cancers and other adverse health effects. The mortality risk of cancer is 1 in 400 people exposed to above 10 μg/L of arsenic in their drinking water. The purpose of this community assessment was to understand the perceptions and awareness of the residents and public water representatives in rural, unincorporated farming communities of color in San Joaquin Valley, California.
View Article and Find Full Text PDFThe Food and Drug Administration (FDA) regulates artificial food colors (AFCs) in the United States. Exposure to AFCs has raised concerns about adverse behavioral effects in children. We quantified AFC exposure in women of childbearing age, pregnant women, and children and compared them to FDA and World Health Organization acceptable daily intakes (ADIs).
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- The study investigates the exposure of children (ages 2-16) and pregnant women to synthetic color additives (SCAs) found in over-the-counter (OTC) medications and vitamins, an area previously under-researched compared to food sources.
- It was found that a children's cold/cough/allergy syrup had the highest exposure level to FD&C Red No. 40, with certain dosages leading to exposures that are double the typical amounts from food.
- Overall, while the estimated exposures were below acceptable daily intake levels set by health organizations, the findings suggest that OTC products can contribute significantly to children's total SCA exposure and should be considered in future studies.
Many types of consumer-grade packaging can be used in material extrusion additive manufacturing processes, providing a high-value output for waste plastics. However, many of these plastics have reduced mechanical properties and increased warpage/shrinkage compared to those commonly used in three-dimensional (3D) printing. The addition of reinforcing materials can lead to stiffer parts with reduced distortion.
View Article and Find Full Text PDFBackground: Mammographic density has been shown to be a strong independent predictor of breast cancer and a causative factor in reducing the sensitivity of mammography. There remain questions as to the use of mammographic density information in the context of screening and risk management, and of the association with cancer in populations known to be at increased risk of breast cancer.
Aim: To assess the association of breast density with presence of cancer by measuring mammographic density visually as a percentage, and with two automated volumetric methods, Quantra™ and VolparaDensity™.