Thesis (Ph.D.)--University of Tennessee Health Science Center, 2008. / Title from title page screen (viewed on February 24, 2009). Research advisor: Muriel Curry Rice, Ph.D. Document formatted into pages (ix, 85 p. : ill.). Vita. Abstract. Includes bibliographical references (p. 62-85).

Obesity is a chronic disease that is caused by a number of factors such as diet, genetics, physical inactivity, and poor dietary habits. This research focused on how income affects obesity among a target population in the African American community in Durham, North Carolina (NC). It has been noted that chronic diseases that are diet-related, for example, obesity, diabetes, hypertension, and high cholesterol, affect African Americans disproportionately, especially those who earn low income. Some studies have also reported that those who make higher income have higher rates of obesity. This inconsistency and gap in the literature prompted research on this topic. Therefore, the purpose of this research was to study the relationship between family income and obesity among African Americans. The study sought to address the key factors that contribute to low family income among African Americans in Durham, NC and the ways in those key factors contribute to obesity among African Americans in Durham, NC. This study implored a qualitative approach by using an individual interview method to glean the lived experiences of participants in Durham, NC. Thirty participants were interviewed and themes from the interviews were analyzed. The health belief model was chosen as the theoretical framework for this study to understand the data and explain beliefs, attitudes, and health behaviors. Key results indicated that low family income contributes to obesity. The study contributes to social change by recommending that policy makers advocate for an increase in national minimum wage, encourage educational approaches to prevent obesity, promote good eating habits, and promote adequate physical activity among African Americans.

Indiana University-Purdue University Indianapolis (IUPUI) / Research indicates that negative affective traits (e.g., depression) are predictors and consequences of excess adiposity. Given that racial minorities and positive affective traits have been underrepresented in past investigations, more prospective studies are needed which examine multiple affective traits in relation to obesity in these populations. The objective of the current study was to investigate the prospective, bidirectional associations between multiple affective traits and multiple adiposity indicators in African Americans using data from the African American Health (AAH) study. The AAH study is a prospective cohort study of African Americans aged 49-65 years at baseline (N = 998). The longest follow-up period in the current study was 9 years (N = 579). Self-reported and measured body mass index (BMI; kg/m2) and body fat percent (BF%) were used as adiposity indicators. Depressive symptoms were assessed with the 11-item Center for Epidemiologic Studies-Depression Scale (CES-D), and anxiety was assessed using the Generalized Anxiety Disorder-2 (GAD-2) scale. Positive affective traits were assessed with the Vitality subscale of the Short Form-36 and Positive Affect subscale from the CES-D. Latent variable path analysis, a structural equation modeling technique, was conducted. Although fit statistics indicated that the models fit the data (RMSEA < .06), examination of the structural paths revealed that the CES-D and GAD-2 were not predictors or consequences of self-reported BMI, measured BMI, or BF% (ps > .05). Likewise, Vitality and CES-D Positive Affect were not related to any adiposity indicator (ps > .05). The results of this prospective cohort study suggest that affective traits are not predictors or consequences of adiposity in middle-aged African Americans and that this group may require obesity prevention or intervention programs with little to no emphasis on affective traits. Possible explanations for the current results include ethnic differences in the mechanistic pathways between affective traits and adiposity.