Background: Significant evidence exists about J-shaped relationship between alcohol consumption and total or cardiovascular disease (CVD)-specific mortality in US middleaged adults. Epidemiologic investigations presume that the J-shaped distribution is the sum of the detrimental effect of high levels of consumption on other causes of death and the protective effect on coronary heart disease (CHD) morbidity and mortality. Several studies demonstrated that moderate alcohol consumption reduces the risk of CHD. However, results have been inconsistent among heavy drinkers. In this study, we investigated the association of heavy alcohol consumption with CHD among adults aged 18-years or older in the US. Methods: Data from the 2015 Behavioral Risk Factor Surveillance System (BRFSS) were used to conduct this study. BRFSS is an annual cross-sectional survey administered to >400,000 adults in all 50 states to collect information about their health-related risk behaviors, chronic health conditions and the use of preventive services. Self-reported responses to BRFSS questionnaire were used to define study variables. Heavy alcohol consumption was defined as greater than 14 drinks (1 drink =12 ounces of beer) per week for men and 7 drinks per week for women. Logistic regression analysis was conducted to determine the association between history of coronary heart disease or angina and heavy alcohol consumption. The model was also adjusted for demographics (age, sex, and race), behaviors (exposure to tobacco smoking, physical activity, fruit consumption), other chronic conditions such as high blood pressure (ever been told having high blood pressure or not), high cholesterol (ever been told having high blood cholesterol or not) and overweight or obese. Results: Approximately 6% of study population reported history of CHD and 5% reported heavy alcohol consumption. The odds of having coronary heart disease or angina among heavy alcohol drinkers was 43% less than those who were not heavy alcohol drinkers (adjusted odds ratio: 0.57, 95% confidence interval: 0.52-0.62, pConclusion: The study findings demonstrate that heavy alcohol consumption is a protective factor for CHD morbidity. Future observational studies should be conducted to determine the overall benefits of heavy alcohol consumption as it relates to coronary heart diseases.

The purpose of this study was to determine how often smoking patients receive quit advice and if patient age, and number and type of clinical encounters are associated with odds of receipt. Behavioral Risk Factor Surveillance System (BRFSS) 2000 data were used to study 10,582 smokers (aged ³ 18) having ³ 1 of three types of clinical encounters in the past year: routine checkups, other physician encounters, or dental visits. Multivariate-adjusted odds ratios (ORs) for quit advice by patient age, encounter type, and number of doctor's visits were calculated. Almost 55% of patients were advised to quit smoking. There was a 4-23% chance of receiving quit advice at any given doctor's visit. Odds of receiving advice did not increase with increasing number of visits. With advancing age, men were more likely, women less likely, to receive quit advicebut only significantly for White men. Compared to those having dental visits, ORs for receiving quit advice for patients having checkups and other physician encounters were 3.35 (95% CI 2.ll, 5.31) and 3.03 (95%CI 1.32, 6.97) respectively. These cross-sectional data suggest that whereas a small majority of smoking patients are advised to quit at some clinical encounter, smoking patients are not advised to quit at the majority of encounters. Being young and male, or seeing dentists rather than doctors made patients less likely to receive quit adviceas did having lower education or BMI, no insurance or coverage other than military or private, not having asthma, or not having breast exams or follow-up Papanicolaou smears if female. Based on a previously-reported absolute quit difference of 1.9%, if smoking patients received quit advice just once at any of their encounters with physicians in a year, at least 800,000 more U.S. smokers would quit at an economic savings of $2.4 billion.

Personal lifestyle and behavior are associated with the 10 leading causes of death for Americans. Motor vehicle crashes kill more than 40,000 people and injure more than 3 million people annually in the United States, representing one of America's most serious health and economic problems. According to the National Highway Traffic Safety Administration (NHTSA), someone in America is injured in a motor vehicle crash every 14 seconds and someone is killed every 12 minutes (as cited in Ad Council, 2003). It is widely accepted that increased use of safety belts and reductions in driving while impaired are two of the most effective means to reduce the risk of death and serious injury of occupants in motor vehicle crashes. The Centers for Disease Control and Prevention (CDC) and NHTSA monitor the use of seat belts by surveying the population. The CDC annually conducts a telephone survey called the Behavioral Risk Factor Surveillance System (BRFSS). The NHTSA conducts an observational survey called the National Occupant Protection Use Survey (NOPUS). The purpose of this study was to examine three questions when estimating safety belt use in the United States: (1) Does the BRFSS differ from NOPUS? (2) Is there regional variation in the differences between BRFSS and NOPUS? (3) Do BRFSS and NOPUS data differ significantly depending on whether the safety belt law is primary, secondary, or none? In this study, the two surveys were compared. Three research hypotheses were tested in the null format at the .05 level of significance using a two-tailed test. The z test was used to determine the difference in the nominal data of the two independent proportions. The results of the study revealed that there is a difference between the self-reported BRFSS survey and the NOPUS observational data.

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Diabetes has become a longstanding public health challenge around the world. Over the last 3 decades, the number of people with Type II diabetes (T2DM) has grown to an epidemic level in Canada. Prior research indicated African immigrants residing in Ontario, Canada experienced a 2-4 times higher prevalence of T2DM than Canadian-born individuals. The social determinants of health theoretical framework guided this study assessing the relationship of the risk factors with T2DM. A quantitative, cross-sectional design was employed using the 2007-2014 Canadian Community Health Survey data. The random sample included 1,526 African immigrants residing in Ontario, Canada. Descriptive, bivariate, and multivariate analyses were conducted. Study results indicated a lower income level, high acculturation index, and a country of origin significantly associated with T2DM in adjusted and unadjusted binary logistic regression models. Using the results of the study to create a valid and reliable acculturation measurement scale and a cultural-based design of public health programs, increase awareness, and change policies that consider the needs of the sample populations could lead to positive social change by curbing the prevalence of T2DM observed in African immigrants residing in Ontario and Canada at large.

Hypertension, a medical condition, predisposes to other cardiovascular diseases, and can be impacted by the social determinants of health (SDOH). Self-measured blood pressure monitoring (SMBP) is an evidence-based approach to hypertension control, but not much is known about the influence of SDOH on SMBP. This dissertation aims to: 1) highlight the SDOH factors whose relationship with SMBP have been explored in research studies; 2) examine the relationship between SDOH and SMBP among United States (U.S.) adults with high blood pressure; and 3) examine the current state of SMBP in the U.S., highlight policy implications from the empirical study and provide recommendations. Aims 1 and 2 were informed by an adapted SDOH framework, which comprised of upstream structural determinants, and downstream intermediary determinants. Aim 1 was achieved via a scoping review of studies across three databases following the PRISMA-SCR checklist. Aim 2 was achieved via a cross-sectional analysis of data from adult respondents to the 2019 Behavioral Risk Factor Surveillance System, with self-reported hypertension. Bivariate and Multiple Logistic regression analyses were conducted. Aim 3 involved a literature scan on policy concerning SMBP, highlighting the policy implications of findings from the empirical study, and providing recommendations for policy/practice. For aim 1, findings suggest that research studies examined the relationship of relatively more structural determinants, than the few, but highly significant intermediary determinants, with SMBP. For aim 2, looking at the structural determinants, males and those who identify as Black and other minority racial groups were more likely to report SMBP. For intermediary determinants, respondents who consumed fruits, vegetables, and exercised were likely to report SMBP, while those who smoke, who drink, and those with poor mental health days were less likely to report SMBP. Respondents with health coverage and whose provider recommended SMBP were likely to report SMBP use. Those ≥65 years were more likely to report SMBP. For aim 3, I recommend that the Centers for Medicare and Medicaid Services lead policy efforts on SMBP reimbursements. Also, healthcare practices should strengthen their technological infrastructure e.g., telehealth to promote access, and Electronic Health Records to promote efficient data collection and tracking.

Objectives: A large number of people cannot afford healthcare services in the United States. Researchers have studied the impact of lack of affordability of health care on the outcomes of various physical conditions. Mental health disorders have emerged as a major public health challenge during the past decade. The lack of affordability of health care also may contribute to the burden of mental health. This research focuses on the association between financial barriers to health care and mental health outcomes in the US state of Tennessee. Methods: We used cross-sectional data contained in the 2019 US Behavioral Risk Factor Surveillance System (BRFSS). We extracted data for the state of Tennessee, which included 6242 adults aged 18 years or older. Multinomial regression analyses were conducted to test the association between not being able to see a doctor with the number of mentally unhealthy days during the past month. We coded the outcome as a three-level variable, ≥20 past-month mentally unhealthy days, 1 to 20 past-month mentally unhealthy days, and 0 past-month mentally unhealthy days. The covariates examined included self-reported alcohol use, self-reported marijuana use, and other demographic variables. Results: Overall, 11.0% of participants reported ≥20 past-month mentally unhealthy days and 24.0% reported 1 to 20 past-month mentally unhealthy days. More than 13% of study participants reported they could not see a doctor because of the cost in the past 12 months. The inability to see a doctor because of the cost of care was associated with a higher risk of ≥20 past-month mentally unhealthy days (relative risk ratio 3.18; 95% confidence interval 2.57-3.92, P < 0.001) and 1 to 19 past-month mentally unhealthy days (relative risk ratio 1.94; 95% confidence interval 1.63-2.32, P < 0.001). Conclusions: Statistically significant associations were observed between the inability to see a doctor when needed because of cost and increased days of poorer mental health outcomes. This research has potential policy implications in the postcoronavirus disease 2019 era with healthcare transformation and significant financial impact.