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<p>Does social capital, resources embedded in social networks, influence health? My
dissertation examines whether social capital directly impacts depression, and how
it interplays with other established structural risk factors linked to depression.
I analyze unique data from the thematic research project "Social Capital: Its Origins
and Consequences," collected in 2004-5 in the United States. I measure social capital
through one recently developed network instrument, the position generator. I use structural
equation modeling to test the direct, mediating, and moderating effects of social
capital on depressive symptoms. I also use the instrumental variable method to verify
the causal order in the relationship between social capital and depression. Results
show that social capital is associated with the level of depression in four ways.
Social capital is associated with lower levels of depressive symptoms net of other
variables. Part of the effect of social capital on depressive symptoms is indirect
through subjective social status. Social capital mediates the associations of age,
gender, being black (versus being white), marital status, education, occupation, annual
family income, and social integration with depression. Social capital also interacts
with gender, being black (versus being white), education, annual family income, and
social integration. This research indicates that social capital is an important social
antecedent of disease and illness.</p>
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