The overall objective of the research presented in this dissertation was to assess exposure to endocrine disrupting chemicals (EDCs), polychlorinated biphenyls (PCBs), phthalates, and bisphenol A (BPA) in the general population and evaluate their associations with adverse reproductive health effects, including cancers, in women. Given the proven contribution of unopposed estrogens to the risk for endometrial neoplasia or breast cancer, renewed health concerns have aroused about estrogen mimicking EDCs found in food, personal care products or as environmental contaminants. Our meta-analysis showed that exposure to estrogen mimicking PCBs increased summary risk of breast cancer and endometriosis. We further evaluated the relationship between endometriosis and breast cancer, and EDCs using a bioinformatics method. Our bioinformatics approach was able to identify genes with the potential to be involved in interaction with PCB, phthalates and BPA that may be important to the development of breast cancer and endometriosis. Therefore, we hypothesized that exposure to EDCs such as PCBs, phthalates, and BPA, results in adverse reproductive health effects in women. Using subject data and biomarkers available from the Center for Disease Controls National Health and Nutrition Examination Survey database we conducted a cross-sectional study of EDCs in relation to self-reported history of endometriosis, uterine leiomyomas, breast cancer, cervical cancer, ovarian cancer, and uterine cancer. Significantly higher body burdens of PCBs were found in women diagnosed with breast cancer, ovarian cancer, and uterine cancer compared to women without cancer. PCB 138 was significantly associated with breast cancer, cervical cancer, and uterine cancer, while PCBs 74 and 118 were significantly associated with ovarian cancer. The sum of dioxin-like PCBs were significantly associated with ovarian cancer (OR of 2.02, 95% CI: 1.06-3.85) and the sum of non-dioxin-like PCBs were significantly associated with uterine cancer (OR of 1.12, 95%CI: 1.03-1.23). Significantly higher body burdens of PCBs were also found in women diagnosed with endometriosis and uterine leiomyomas. Documenting the exposure to EDCs among the general U.S. population, and identifying agents associated with reproductive toxicity have the potential to fill research gaps and facilitate our understanding of the complex role environmental chemicals play in producing toxicity in reproductive organs.

While many health benefits have been associated with increased whole grain consumption, current researchers have not considered if the consumption of whole grains in currently recommended or higher amounts actually leads to health problems, specifically to a correlated increase in gluten sensitivity. The purpose of this study was to determine if diets high in whole grains or those that met the recommended daily intake of whole grains help minimize or increase gluten sensitivity, and when whole grains are consumed as recommended if they cause more harm than good. The theoretical basis for this quantitative, cross sectional design was the precaution adoption process model, allowing for the examination of preventive behaviors as a series of cognitive steps over time. Individuals (N = 5,746) from the National Health and Nutrition Examination Survey 2007 to 2012 were assessed for daily intake of whole grains before and after the release of the 2010 Dietary Guidelines for Americans, and from 2007 to 2010 for bowel health and sensitivity to whole grains. SAS correlations and regression analysis at p < .05 were analyzed. There was an increase in whole grain intake by 7.4% and in bowel sensitivity with 50% reporting increases in gas, but more data are needed to determine exact amounts that caused these increases in symptoms. Understanding the complete picture, policy makers and others will be more informed about current recommendations and the way that Americans eat, as well as if changes are needed for the future.

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<p dir="ltr">Gestational Diabetes Mellitus (GDM) is defined as glucose intolerance with first onset during pregnancy in women without previous history of diabetes. The global prevalence of GDM oscillates between 2% and 17%, varying across countries and ethnicities. In the United States (U.S.), every year up to 13% of pregnancies are affected by this disease. Several risk factors for GDM are well established, such as race, age and BMI, while additional factors have been proposed that could affect the risk of developing the disease; some of them are modifiable, such as diet, while others are not, such as environmental factors.</p><p dir="ltr">Taking effective preventive actions against GDM require the early identification of women at highest risk. A crucial task to this end is the establishment of factors that increase the probabilities of developing the disease. These factors are both individual characteristics and choices and likely include environmental conditions.</p><p dir="ltr">The first part of the dissertation focuses on examining the relationship between food insecurity and GDM by using the National Health and Nutrition Examination Survey (NHANES), which has a representative sample of the U.S. population. The aim of this analysis is to determine a national estimate of the impact of food environment on the likelihood of developing GDM stratified by race and ethnicity. A survey weighted logistic regression model is used to assess these relationships which are described using odds ratios.</p><p dir="ltr">The goal of the second part of this research is to determine whether a woman’s risk of developing GDM is affected by her environment, also referred to in this work as level 2 variables. For that purpose, Medicaid claims information from Indiana was analyzed using a multilevel logistic regression model with sample balancing to improve the class imbalance ratio.</p><p dir="ltr">Finally, for the third part of this dissertation, a simulation study was performed to examine the impact of balancing on the prediction quality and inference of model parameters when using multilevel logistic regression models. Data structure and generating model for the data were informed by the findings from the second project using the Medicaid data. This is particularly relevant for medical data that contains measurements at the individual level combined with other data sources measured at the regional level and both prediction and model interpretation are of interest.</p>

Celiac disease (CD), an autoimmune disorder affecting millions of Americans, poses significant obstacles leading to a normal life. With no known cure, adherence to a strict glutenfree diet (GFD) is essential. However, the cost and limited availability of gluten-free alternatives can burden individuals with CD. Additionally, factors such as socioeconomic status, nutrient deficiencies, and the nature of the disease may contribute to mental health issues. This study aimed to investigate the influence of adherence to a GFD on depression in CD patients. The prevalence of depression among individuals with CD from diverse backgrounds was examined, along with the analysis of macro- and micronutrient distribution and the impact of the GFD. Data from the National Health and Nutrition Examination Survey spanning three cycles (2009-2014) were extracted, including 70 CD patients and 271 participants reporting general gluten issues. The dataset was analyzed using SAS v9.4 (SAS Institute, Inc., Cary, NC) with the three cycles merged using a unique identifier sequential number. Sample weights were applied to mitigate bias in national estimates due to unequal probability of selection, while oversampling was utilized to enhance the study’s reliability when examining subgroups or minorities. Survey weight and sampling design considerations were incorporated into the SAS syntax to safeguard participants’ privacy, as managed by the National Center for Health Statistics. Multiple linear regression analysis revealed no significant association between depression and adherence to the GFD or CD; however, ethnicity showed significance. Celiac disease exhibited a prevalence of 0.12% among White individuals, 3-6 times higher than other ethnic groups, and was twice as prevalent in females compared to males. Notably, deficiencies in macro- and micronutrients among CD and GFD cases were observed. Carbohydrate intake exhibited a negative association with GFD consumers and those with CD, while individuals adhering to a GFD showed an association with decreased polyunsaturated fat consumption, yet within adequate intakes. Deficiencies in micronutrients such as thiamin, vitamins B12, D, and E, and calcium were also observed within GFD group, while a low sodium intake was observed among CD group. This study provides insights into the complex interplay between diet, mental health, and CD management.

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Oral caries is the most prevalent chronic disease among US children, and disproportionately impacts those of low socioeconomic status. Studies have shown that the Special Supplemental Nutrition Program for Women Infants and Children (WIC) improves access to dental care among Medicaid children. This study investigated the impact of WIC, Medicaid, and the State Children's Health Insurance Program (SCHIP) on the prevalence of dental caries among low-income children. The 1999-2000 and 2001-2002 NHANES data were utilized for this analysis. Children 2-4 years old who participated in WIC, Medicaid, or SCHIP, or who were uninsured, and for whom both interview and complete oral health exam data were available (n = 597) were included in the study. Multivariate logistic regression modeling was conducted to examine the effects of program participation on caries. There was no statistically significant association between dental caries and participation in public assistance programs. The risk of dental caries for children in MedicaidSCHIP only was comparable to the risk for children in WIC and MedicaidSCHIP (OR = 1.04; 95%CI = 0.622, 1.745) and also to uninsured children (OR = 0.96; 95%CI = 0.523, 1.773). Dental caries were not impacted if the child did not have a preventive dental visit in the past 6 months (OR = 0.68; 95% CI = 0.436, 1.063) or did not have a regular dental care provider (OR = 1.15; 95% CI = 0.646, 2.044). Participation in WIC and MedicaidSCHIP does not improve the oral health of low-income children. Because this population is a high-risk group requiring more specialized efforts, improving access to care is not sufficient to improve oral health. In addition to increased utilization of services, the program partnership between WIC and MedicaidSCHIP must provide targeted, educational interventions to prevent dental caries. It may also be necessary to increase the recommended number of preventive visits for low-income children.