Theses and Dissertations

This paper provides a multidisciplinary analysis of the relationship between beauty and addiction, with a focus on the emerging field of neuroaesthetics. Neuroaesthetics investigates the neural mechanisms that underlie aesthetic experiences and how the brain cognitively processes beauty. Since there is a biological foundation of this report, I will predominantly discuss neuroanatomy, neurological studies, and the overlap in neural circuitry between beauty and addiction. In addition, I will discuss the philosophical roots of beauty, as well as the environmental elements involved. Chapter 1 begins by explaining the history of beauty and its importance. I discuss the main constituents of beauty and differentiate between key terms involved in the beauty experience. In order to understand the link between beauty and addiction, it is essential to have a knowledgeable background on what beauty is. Next, I discuss the neurobiology of addiction. The main component of this chapter involves the mesolimbic and mesocortical reward pathways. I also describe neuroanatomical terms involved in addiction. The last chapter considers the implications of neuroaesthetics in various studies, which primarily involve the use of fMRIs. I discuss the sensory evaluations of beauty and the brain regions involved in the beauty experience. From this, I found that the experience of beauty activates these main brain regions: PFC, amygdala, striatum, NAcc, cingulate, VTA, and most remarkably, field A1 of the mOFC. By combining the neurological studies with studies of aesthetics, I reached the conclusion that there is an overlap in the neural pathways during the experience of beauty and during addiction. Although it is necessary for further research to be conducted to properly declare this, I discovered that the pursuit of beauty can lead to addictive behaviors, as the reward centers of the brain are activated by aesthetic experiences.

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.