The focus of this study was to determine if there were patterns or trends in physical activity levels of adults in Indiana for even numbered years between 1986 - 1996. The research was a secondary analysis of data collected by the Behavioral Risk Factor Surveillance System over a ten year period for 12,682 respondents. Questions and hypotheses were examined for demographical variables of age, gender, race, marital status, income, and educational level compared to respondents being classified into one of four physical activity classifications: inactive, irregular, regular, or regular and vigorous.The data were analyzed using mean, multiple regression, and chi-square. Overall patterns and trends showed an increase since 1992 in the percentage of adults in Indiana being classified as sedentary and not meeting national guidelines for recommended levels of physical activity. There were significant differences (p=.000) between all of the demographical variables and physical activity classifications. / School of Physical Education

This study aimed to i) investigate the prevalence of unhealthy attributes, common diseases, and inequities in social determinants of health across a large and representative sample of adults in New York City; and ii) identify common key predictors of COVID-19 seropositivity by comparing various regression models using a hierarchical regression method among a sample of New York City adults. The study will use the New York City Community Health Survey (NYC CHS) 2020 dataset for this analysis. An exploratory approach is used to data to understand the social, environmental, and individual determinants of health in the New York City population at the peak of the pandemic and their effects on COVID-19 seropositivity. The study also emphasizes on using a predictive modeling approach to develop and select an optimal ML model that accurately predicts COVID-19 seropositivity from various ML algorithms. Hierarchical logistic regression was carried out on a sample of 928 participants. It was found that age group 65-75, Black and Hispanic race and being born in the US were statistically significant factors in model 1 of the hierarchical regression where only socioeconomic factors were considered. With the inclusion of health behaviors, tobacco smoking behaviors, and physical activity were statistically significant. In the full model, BMI, asthma prevalence, and suicidal thoughts were statistically significantly correlated with COVID-19 seropositivity. The findings are consistent with public health literature highlighting the importance of healthy behaviors and public health efforts in maintaining overall health and immunity.