71 research outputs found

    Individualism as Habitus: Reframing the Relationship between Income Inequality and Health

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    Public health literature has demonstrated a negative effect of income inequality on a number of health outcomes. Researchers have attempted to explain this phenomenon, drawing on psychosocial and neo-materialist explanations. This paper argues, however, that these approaches fail to recognize the crucial role of culture, focusing specifically on the cultural value of individualism. Through a review of the literature and Pierre Bourdieu’s theory of practice as a theoretical framework, I provide support for the proposition that an ideology based in individualism is the context within which income inequality, social fragmentation, material deprivation, and consequently poor health outcomes are produced. I further offer recommendations for continued research into the role of cultural determinants in the income inequality-health relationship

    Urbanicity, Social Capital, and Depression in Older Adults: An Analysis of Two African Countries

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    Depression is a significant contributor to global morbidity and mortality and is the primary cause of disability worldwide. Older adults are an age group that may be more vulnerable to depression due to a higher prevalence of many known risk factors. Moreover, evidence also suggests that living in urban locations can increase the risk of depression and other mental illnesses. Thus, as the world’s population continues to age and urbanize, the burden of depression could increase. However, very few studies on the links between urbanicity and depression in older adults have been conducted in low- and middle-income settings such as sub-Saharan Africa, despite its rapid urbanization and substantial increases in the size of its aging population. Through quantitative analyses of secondary data from the Ghana and South Africa samples of the World Health Organization (WHO) Study on Global AGEing and Adult Health (SAGE), this dissertation therefore sought to explore the relationship between urbanicity and depression among older adults in an African context. The study specifically used multivariable logistic regression to examine the association between current urban residence and depression in Ghanaian and South African older adults as well as whether urbanicity of residence across the life course was associated with depression in these populations. It also assessed the influence of urbanicity on the relationship between depression and social capital—a purported protective factor—through structural equation modeling. Results indicated that there was no significant association between urbanicity and depression based on current residence or life-course residence in either country. Additionally, urbanicity did not substantially modify the effects of social capital on depression in either nation, but urban-rural differences in the level and composition of social capital were observed. Moreover, while trust was associated with a lower risk of depression in South Africa overall, sociability and trust were associated with an increased risk of depression in Ghana. These findings provide some insight into the socio-contextual determinants of depression in Ghanaian and South African older adults and may help to inform decisions on the allocation of mental health resources as well as policies and interventions to address later-life depression in these populations

    Income inequality and depressive symptoms in South Africa: A longitudinal analysis of the National Income Dynamics Study

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    Research suggests that income inequality may detrimentally affect mental health. We examined the relationship between district-level income inequality and depressive symptoms among individuals in South Africa—one of the most unequal countries in the world—using longitudinal data from Wave 1 (2008) and Wave 3 (2012) of the National Income Dynamics Study. Depressive symptoms were measured using the Center for Epidemiological Studies of Depression Short Form while district Gini coefficients were estimated from census and survey sources. Age, African population group, being single, being female, and having lower household income were independently associated with higher depressive symptoms. However, in longitudinal, fixed-effects regression models controlling for several factors, district-level Gini coefficients were not significantly associated with depressive symptoms scores. Our results do not support the hypothesis of a causal link between income inequality and depressive symptoms in the short-run. Possible explanations include the high underlying levels of inequality in all districts, or potential lags in the effect of inequality on depression
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