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Introdução: A introdução da agricultura e pecuária foram muito recentes para que o genoma humano se adaptasse e a tecnologia avançada pós revolução Industrial foi ainda mais. Segundo Cordain, a substituição de alimentos minimamente processados por alimentos pós-agrícolas e pós-industriais influenciaram os indicadores nutricionais: carga glicêmica, composição de ácidos graxos e macronutrientes, densidade de micronutrientes, equilíbrio ácido-base, relação sódio/potássio e teor de fibras, levando a um desequilíbrio que é causa de várias doenças atuais da civilização. A Protein Leverage Hypothesis (PLH) propõe que a queda na ingestão de proteínas possa levar a obesidade e doenças cardiometabólicas associadas. Objetivos: Estudar o efeito do consumo de alimentos ultraprocessados nos indicadores nutricionais na população dos EUA, incluindo a composição de macronutrientes, densidade de fibras e micronutrientes e fitoestrógenos urinários; avaliar se a contribuição calórica de alimentos ultraprocessados é determinante para a qualidade nutricional das dietas contemporâneas; e finalmente estudar se a associação entre o consumo de alimentos ultraprocessados, proteína e energia correspondem às previsões do modelo PLH. Métodos: Foram avaliados os participantes do National Health and Nutrition Examination Survey 2009-2010, com pelo menos um recordatório alimentar de 24 horas. Os itens foram classificados em: alimentos in natura ou minimamente processados, processados, ultraprocessados e ingredientes de uso culinário. O manuscrito 1 examina a relação entre a contribuição calórica de alimentos ultraprocessados e qualidade nutricional da dieta, avaliando individual e globalmente a contribuição de cada ingrediente crítico, usando a análise de componentes principais (ACP). O manuscrito 2 estuda a associação entre a contribuição calórica dos alimentos ultraprocessados e consumo de açúcares de adição. O manuscrito 3 avalia como o consumo de alimentos ultraprocessados influencia o conteúdo proteico relativo da dieta e as ingestões absolutas de energia e proteína, e se essas relações se encaixam nas previsões da PLH. O manuscrito 4 avalia a relação entre a contribuição calórica de alimentos ultraprocessados e níveis de fitoestrógenos urinários. Resultados: O teor médio de proteínas, fibras, vitaminas A, C, D e E, zinco, potássio, fósforo, magnésio e cálcio na dieta diminuiu ao longo dos quintis de contribuição calórica de alimentos ultraprocessados, enquanto o de carboidratos, açúcares de adição e gordura saturada aumentou. Uma associação inversa de dose-resposta foi encontrada entre o consumo de alimentos ultraprocessados e qualidade nutricional total, medida através de um escore de padrão balanceado de nutrientes derivado usando ACP. Consistente com a PLH, a contribuição calórica de alimentos ultraprocessados foi inversamente associada à densidade proteica e diretamente ao consumo energético total, enquanto a ingestão absoluta de proteínas permaneceu constante com aumento do consumo de alimentos ultraprocessados. Os níveis médios de enterolignanos urinários diminuíram ao longo dos quintis de consumo de alimentos ultraprocessados, enquanto os níveis de isoflavonas permaneceram inalterados. Conclusões: Este estudo mostra que a diminuição da contribuição calórica de alimentos ultraprocessados é um meio racional e eficaz de melhorar a qualidade nutricional das dietas dos EUA / Background: The introduction of agricultural and animal husbandry has not provided the human genome time enough to adapt, much less the advancing technology after Industrial Revolution. According to Cordain et al., displacement of minimally processed foods by post-agricultural and post-industrial food items adversely affected the following dietary indicators: glycemic load, fatty acid and macronutrient compositions, micronutrient density, acid-base balance, sodium-potassium ratio and fiber content. Many current diseases of civilization, in turn may be ascribable to those unbalanced dietary indicators. Indeed, Raubenheimer and Simpson have proposed the Protein Leverage Hypothesis (PLH) to explain how a drop in dietary protein content might lead to obesity and associated cardiometabolic disease. Objective: This thesis aims to study the effect of an increased consumption of ultra-processed foods on dietary indicators in the US population, including macronutrient composition, micronutrient and fiber densities, and urinary phytoestrogens. It also explores whether the dietary share of ultra-processed foods, expressed as a percentage of total energy intake, is a meaningful determinant of overall nutritional quality of contemporary diets. Lastly, it also looks into whether the association between ultra-processed food, protein and energy consumptions fit predictions of the PLH model. Methods: Participants from cross-sectional 2009-2010 National Health and Nutrition Examination Survey with at least one 24-hour dietary recall were evaluated. Food items were classified according to extent and purpose of industrial food processing as: unprocessed or minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods. Manuscript 1, examines the relationship between dietary contribution of ultra-processed foods and nutritional quality of US diet through the evaluation of dietary contents of critical nutrients individually and also overall, using Principal Component Analysis (PCA). Manuscript 2 studies the association between dietary contribution of ultra-processed foods and energy intake from added sugars. Manuscript 3 examines how consumption of ultra-processed food influences relative dietary protein content and, absolute energy and protein intakes; it furthermore, tests whether the relationships fit PLH predictions. Manuscript 4 assesses the relationship between dietary contribution of ultra-processed foods and urinary levels of phytoestrogens. Results: The average content of protein, fiber, vitamins A, C, D and E, zinc, potassium, phosphorus, magnesium and calcium in US diet decreased significantly across quintiles of energy contribution of ultra-processed foods, while carbohydrate, added sugars and saturated fat contents increased. An inverse dose-response association was found between ultra-processed food consumption and overall dietary quality measured through a Nutrient balanced pattern PCA derived factor score. Consistent with PLH, dietary contribution of ultra-processed foods was inversely associated with protein density and directly associated with total energy intake, while absolute protein intake remained relatively constant with increases in ultra-processed food consumption. Average urinary mammal lignan levels decreased across quintiles of ultra-processed food consumption, while isoflavone levels remained unchanged. Conclusions: This study suggests that decreasing the dietary share of ultra-processed foods is a rational and effective way to improve the nutritional quality of US diets

Introdução: A introdução da agricultura e pecuária foram muito recentes para que o genoma humano se adaptasse e a tecnologia avançada pós revolução Industrial foi ainda mais. Segundo Cordain, a substituição de alimentos minimamente processados por alimentos pós-agrícolas e pós-industriais influenciaram os indicadores nutricionais: carga glicêmica, composição de ácidos graxos e macronutrientes, densidade de micronutrientes, equilíbrio ácido-base, relação sódio/potássio e teor de fibras, levando a um desequilíbrio que é causa de várias doenças atuais da civilização. A Protein Leverage Hypothesis (PLH) propõe que a queda na ingestão de proteínas possa levar a obesidade e doenças cardiometabólicas associadas. Objetivos: Estudar o efeito do consumo de alimentos ultraprocessados nos indicadores nutricionais na população dos EUA, incluindo a composição de macronutrientes, densidade de fibras e micronutrientes e fitoestrógenos urinários; avaliar se a contribuição calórica de alimentos ultraprocessados é determinante para a qualidade nutricional das dietas contemporâneas; e finalmente estudar se a associação entre o consumo de alimentos ultraprocessados, proteína e energia correspondem às previsões do modelo PLH. Métodos: Foram avaliados os participantes do National Health and Nutrition Examination Survey 2009-2010, com pelo menos um recordatório alimentar de 24 horas. Os itens foram classificados em: alimentos in natura ou minimamente processados, processados, ultraprocessados e ingredientes de uso culinário. O manuscrito 1 examina a relação entre a contribuição calórica de alimentos ultraprocessados e qualidade nutricional da dieta, avaliando individual e globalmente a contribuição de cada ingrediente crítico, usando a análise de componentes principais (ACP). O manuscrito 2 estuda a associação entre a contribuição calórica dos alimentos ultraprocessados e consumo de açúcares de adição. O manuscrito 3 avalia como o consumo de alimentos ultraprocessados influencia o conteúdo proteico relativo da dieta e as ingestões absolutas de energia e proteína, e se essas relações se encaixam nas previsões da PLH. O manuscrito 4 avalia a relação entre a contribuição calórica de alimentos ultraprocessados e níveis de fitoestrógenos urinários. Resultados: O teor médio de proteínas, fibras, vitaminas A, C, D e E, zinco, potássio, fósforo, magnésio e cálcio na dieta diminuiu ao longo dos quintis de contribuição calórica de alimentos ultraprocessados, enquanto o de carboidratos, açúcares de adição e gordura saturada aumentou. Uma associação inversa de dose-resposta foi encontrada entre o consumo de alimentos ultraprocessados e qualidade nutricional total, medida através de um escore de padrão balanceado de nutrientes derivado usando ACP. Consistente com a PLH, a contribuição calórica de alimentos ultraprocessados foi inversamente associada à densidade proteica e diretamente ao consumo energético total, enquanto a ingestão absoluta de proteínas permaneceu constante com aumento do consumo de alimentos ultraprocessados. Os níveis médios de enterolignanos urinários diminuíram ao longo dos quintis de consumo de alimentos ultraprocessados, enquanto os níveis de isoflavonas permaneceram inalterados. Conclusões: Este estudo mostra que a diminuição da contribuição calórica de alimentos ultraprocessados é um meio racional e eficaz de melhorar a qualidade nutricional das dietas dos EUA / Background: The introduction of agricultural and animal husbandry has not provided the human genome time enough to adapt, much less the advancing technology after Industrial Revolution. According to Cordain et al., displacement of minimally processed foods by post-agricultural and post-industrial food items adversely affected the following dietary indicators: glycemic load, fatty acid and macronutrient compositions, micronutrient density, acid-base balance, sodium-potassium ratio and fiber content. Many current diseases of civilization, in turn may be ascribable to those unbalanced dietary indicators. Indeed, Raubenheimer and Simpson have proposed the Protein Leverage Hypothesis (PLH) to explain how a drop in dietary protein content might lead to obesity and associated cardiometabolic disease. Objective: This thesis aims to study the effect of an increased consumption of ultra-processed foods on dietary indicators in the US population, including macronutrient composition, micronutrient and fiber densities, and urinary phytoestrogens. It also explores whether the dietary share of ultra-processed foods, expressed as a percentage of total energy intake, is a meaningful determinant of overall nutritional quality of contemporary diets. Lastly, it also looks into whether the association between ultra-processed food, protein and energy consumptions fit predictions of the PLH model. Methods: Participants from cross-sectional 2009-2010 National Health and Nutrition Examination Survey with at least one 24-hour dietary recall were evaluated. Food items were classified according to extent and purpose of industrial food processing as: unprocessed or minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods. Manuscript 1, examines the relationship between dietary contribution of ultra-processed foods and nutritional quality of US diet through the evaluation of dietary contents of critical nutrients individually and also overall, using Principal Component Analysis (PCA). Manuscript 2 studies the association between dietary contribution of ultra-processed foods and energy intake from added sugars. Manuscript 3 examines how consumption of ultra-processed food influences relative dietary protein content and, absolute energy and protein intakes; it furthermore, tests whether the relationships fit PLH predictions. Manuscript 4 assesses the relationship between dietary contribution of ultra-processed foods and urinary levels of phytoestrogens. Results: The average content of protein, fiber, vitamins A, C, D and E, zinc, potassium, phosphorus, magnesium and calcium in US diet decreased significantly across quintiles of energy contribution of ultra-processed foods, while carbohydrate, added sugars and saturated fat contents increased. An inverse dose-response association was found between ultra-processed food consumption and overall dietary quality measured through a Nutrient balanced pattern PCA derived factor score. Consistent with PLH, dietary contribution of ultra-processed foods was inversely associated with protein density and directly associated with total energy intake, while absolute protein intake remained relatively constant with increases in ultra-processed food consumption. Average urinary mammal lignan levels decreased across quintiles of ultra-processed food consumption, while isoflavone levels remained unchanged. Conclusions: This study suggests that decreasing the dietary share of ultra-processed foods is a rational and effective way to improve the nutritional quality of US diets

INTRODUCTION: Chemical exposures to US pregnant women have been shown to have adverse health impacts on both mother and fetus. A prior paper revealed that US pregnant women in 2003-2004 had widespread exposure to multiple chemicals. The goal of this research is to examine how environmental chemical exposures to US pregnant women have changed from 2003 to 2010 and to look further at the extent of simultaneous exposure to multiple chemicals in US pregnant women using biomonitoring data available through NHANES (the National Health and Nutritional Examination Survey). METHODS: Using available NHANES data from the following cycles (2003-2004, 2005-2006, 2007-2008, 2009-2010), we analyzed how environmental chemical exposures changed over time. Covariates were used and data was weighted to reflect the population of pregnant US women. Each cycle was then compared to the 2003-2004 cycle in order to assess how exposures have changed over time. We then looked at the data in an entirely different fashion. We examined the total number of chemicals detected in a given pregnant woman by chemical group. Finally, we looked at the total number of detects across various chemical groups and used the Fisher Exact Test to study how the distribution of detections changed in 2009-2010 compared to 2003-2004. RESULTS: While at least one-third of the chemicals analyzed showed one cycle that differed, exposure rates of individual chemicals were generally not increasing from 2003-2010. Median number of detections over chemical groups also did not show much difference over time. However, analysis of the change in frequency distributions revealed that, for some chemical groups, the frequency of detects in US pregnant woman significantly increased in 2010 compared to 2003. CONCLUSIONS: Widespread chemical exposures were seen in US pregnant women from 2003 through 2010. The number of chemical analytes detected in US pregnant women’s bodies is rising. Many chemicals studied had similar mechanisms of action and/or similar adverse health outcomes upon exposure which is known to result in a cumulative health effect. This research suggests that we need to focus not only on exposure rates of individual chemicals but also on the overall number of chemicals detected when assessing the overall picture of environmental chemical exposures to pregnant women in the US.

Purpose: The primary objective of this study was to estimate the prevalence of vaccination and HBV infection status of adults and to evaluate the trend in self reported vaccination and seroprevalence for Hepatitis B for this population. Additionally, this study sought to assess the association between vaccination rates, seroprevalence (HBsAg, anti-HBc, and anti-HBs), demographic (age, gender, location of birth, race/ethnicity), and socioeconomic (annual household income, education level, insurance coverage and access to care, marital status) characteristics. Methods: Eight years, 1999-2006, of the National Health and Nutrition Examination Survey (NHANES) data were used. NHANES participants aged 20-59 years who contributed data via the household interview and laboratory component were eligible for this study. Two sources of vaccination status were available. The vaccination status was identified through self-report. Those who answered yes to “less than three doses” and “at least three doses” were classified as vaccinated. Vaccination status was also verified through serologic markers. All analyses were weighted to consider the complex weighting scheme and adjusted to the 2000 US census population. Vaccination rates were calculated for both low and high risk populations. 95% confidence intervals (95% CI) of each estimate were also calculated. The association between potential predictors of vaccination (demographic variables, socioeconomic status, high risk, and health care access and utilization variables) and vaccination status was assessed using bivariate analysis. We used logistic regression model to obtain odds ratios and their 95% confidence intervals for the association between predictor variables and vaccination status after adjusting for all potential confounding factors. Results: Vaccinated adults were more likely to be female, younger (20-29), Non-Hispanic white, married, born in the United States, have some education beyond high school, have a household income greater than $20000, health insurance coverage, a source of usual medical care, report a health status of good or higher, be non-smokers, and have no history of alcohol abuse. High risk adults comprised about 16% of adults who had received at least one dose of the Hepatitis B vaccine. Unvaccinated adults were more likely to be male, over the age of 40, Non-Hispanic white, born in the United States, married, have some education beyond high school, have a household income greater than $20,000, live in a household of 6 or fewer people, have health insurance coverage, and a source of usual care. When comparing the self reported vaccination status with serologic status, almost half of the adults who reported receiving all three doses of the vaccine tested negative for immunity. For all adults the prevalence increased from 23.4% to 39.1%. Compared to adults in 1999-2000, adults were twice as likely to report vaccination in 2005-2006 (OR=2.1 95% CI [1.77, 2.49]). Conclusions: Although, hepatitis B vaccination rates are rising, only 32% of high risk adults are vaccinated. The rise in vaccination rates in young adults is mostly related to childhood immunization strategies and not strategies aimed at adults. Older males, those with less than high school education, without health insurance coverage and a source of usual care were least likely to be vaccinated. More targeted interventions are needed to educate and vaccinate the adult population and to create a means for identifying those at risk and those already vaccinated.

Background: Studies regarding number of pregnancies and coronary heart disease have shown inconsistent results. In the present study, we assessed the association between number of pregnancies and heart attack (HA) in women.Methods: Using data from NHANES III a cross sectional data analysis of 10634 women aged 17 and above was conducted. We considered socio-demographic factors and other potential risk factors including physical activity, smoking, alcohol, diabetes, hypertension, hypercholesterolemia, BMI, age, and family history of heart attack. We conducted Bivariate analysis to determine prevalence and crude odds ratios. Multivariate logistic regression analysis was used to adjust for confounding variables using SPSS. Results: The prevalence and 95% CI of HA was 3.4% (3.0% – 3.7%). The age adjusted odds ratios for 7+ pregnancies was 2.33 95% CI [1.42-3.81], but this became insignificant when a fully adjusted model was used (odds ratio, 1.68: 95% CI, 0.89 to 3.16). For those with 4 pregnancies the risk was lowest in both age adjusted and fully adjusted models confirming the well known "J" shaped non linear relationship between number of pregnancies and heart attack. Conclusion: We found an association that was not significant between number of pregnancies and heart attack. Further studies using physician-confirmed diagnosis is needed to appropriately asses the potential relationship of gravidity and heart attack.

<p>This dissertation examines lead exposure and effects across the lifespan among vulnerable populations. The vulnerable population that this dissertation focuses on are the elderly, newcomers to the US, which represents immigrants, as well as adolescents and women of childbearing age. The first chapter gives an introduction and highlights the history of lead as it relates to environmental and occupational exposure having deleterious effects on the human system. The second chapter highlights the association between blood lead level and subsequent Alzheimer’s disease (AD) mortality in those 65 years and older. Chapter 3 looks at whether length of time in the United States is a predictor of adolescent and adult blood lead levels. The fourth chapter assesses whether early life lead exposure is associated with AD mortality later in life. Adaptations of Chapter 2 and Chapter 3 of this dissertation have been submitted for publication.</p><p>Chapter 2 presents a longitudinal study of 8080 elders (≥60 years) with BLL data from the 1999-2008 National Health and Nutrition Examination Survey, where mortality was determined from linked 1999-2014 National Death Index data. In this study, a causal diagram presented causal assumptions and identified a sufficient set of confounders: age, sex, poverty, race/ethnicity, and smoking. Cox proportional hazard models were used to determine the association between BLL and subsequent AD mortality. Impacts of competing risks and design effect were also assessed. Adjusted hazard rate ratio (HRR) and 95% confidence interval (CI) were reported. Results showed that those with BLL of 1.5 μg/dL and 5 μg/dL had 1.2 (95% CI: 0.70, 2.1) and 1.4 (95% CI: 0.54, 3.8) times the rate of AD mortality compared to those with BLL of 0.3 μg/dL, respectively, after accounting for competing risks. Adjusted HRRs were 1.5 (95% CI 0.81, 2.9) and 2.1 (95% CI 0.70, 6.3), respectively, after considering design effect. This longitudinal study demonstrated a positive, albeit statistically non-significant association between BLL and AD mortality, after adjustment for competing risks or design effect.</p><p>Chapter 3 included cross-sectional 1580 women of childbearing age (15-45 years) and 5933 men and women (≥15 years) from the 2013-2016 United States National Health and Nutrition Examination Survey. Linear regression models adjusted for race/ethnicity, education, blood cotinine, age, sex (as appropriate) and accounted for complex survey design. Results showed that women of childbearing age who have lived 0-4 years in the US have, on average, a 43% (95% confidence interval (CI): 31%, 56%) higher BPb compared to women born in the US. Corresponding results for all adults and adolescents was 40% (95% CI: 28%, 51%). Similar, statistically significant, results were observed for other time periods (5-9 years, 10-19 years, and ≥20 years); the magnitude of the association decreased with increasing time in the US. Higher BPb was also significantly associated with Asian (vs. white), lower education, higher age, and male (vs. female).</p><p>Chapter 4 is an ecologic study utilizing data from the United States Census Bureau and American Fact Finder. This ecologic study uses publicly available data from the 1930s US census and the Centers for Disease Control and Prevention to compare estimated historic lead exposure with AD mortality rates among US states and Indiana counties. Occupations were assigned a numeric weight based on the likelihood of lead exposure. The proportion of workers in each occupation multiplied by this weight was used to create a historic lead exposure index; quintiles of this index were used in analyses. AD mortality rates among persons ≥ 65 years old from 1999-2016 were obtained from the Centers for Disease Control and Prevention. The relationship between the historic exposure index and mortality was evaluated using correlation coefficients and linear regression models adjusting for age, sex, education, socioeconomic status (SES). Maps to characterize spatial pattern of historic lead exposure and AD mortality were completed using Geographic Information System (GIS) spatial analysis tools for the U.S. at state level and at county level for Indiana. Results showed that among states, the average AD mortality rate was 202.2 per 100,000 (SD=44.4). Within Indiana, the average AD mortality rate was 209.6 per 100,000 (SD= 64.9). Among Indiana counties, the unadjusted model shows an association of higher HEI with higher AD mortality, with the fifth quintile reaching statistical significance. Results for the adjusted model were not statistically significant. Results for US states for both unadjusted and adjusted regression models show that the third, fourth, and fifth quintiles of the historic exposure index were associated with a significantly lower AD mortality rate when compared to the lowest quintile.</p><p>Conclusion: The first study, using a longitudinal design, shows a positive but non-significant association between BLL and subsequent AD mortality after adjustments for competing risks or design effects. The second study, using a cross-sectional design, showed that newcomers to the US may be a population at higher risk for elevated BPb. The third, ecological study, did not find any significant association between historic lead exposure and AD mortality rates for Indiana counties, however there was a significant association of higher historic lead exposure index with lower AD mortality rates for states in the US.</p>

In this study, we used a cross-sectional study design to examine the relationship between the calcium intake and risk factors for CVD among obese adults by using continuous waves of National Health and Nutrition Examination Survey (NHANES) data 1999-2010. The association between calcium intake and risk factors of CVD (hypertension, total cholesterol, HDL, glycohemoglobin), CRP, albuminuria) is assessed among obese adults in USA. The incidence of Cardiovascular Disease (CVD) is high among obese people. The potential effects of inadequate calcium intake on CVD are receiving increased epidemiologic attention. Understanding the association between risk factors for CVD and calcium intake among obese adults is important for the advancement of CVD, nutrition and obesity research. Data collected from the National Health and Nutrition Examination Survey from 1999-2010 were examined, utilizing a subset of 14,856 obese subjects. Analysis of Variance statistical tests were conducted to determine associations between calcium intake and CVD risk. Simple and multiple linear and logistic regression analyses were conducted to determine the predicted value of calcium intake with CVD. After adjusting for energy intake and other potential risk factors, systolic blood pressure, diastolic blood pressure, C-reactive protein, glycosylated hemoglobin and albuminuria were negatively associated with calcium intake at &alpha = 0.05 level in both linear and logistic regression analyses. In a comparison of calcium intake by quartiles, results reveal that total cholesterol had a weak negative association with calcium intake at &alpha = 0.1 level. The implications of these study results are important as the importance of adequate calcium intake and its potential to decrease CVD among obese adults has incredible preventive value for populations. Additional research that focuses on dietary intake, calcium thresholds and impacts on total cholesterol levels in the body is warranted.