TY - JOUR
T1 - Social Capital and Human Mortality
T2 - Explaining the Rural Paradox with County-Level Mortality Data
AU - Yang, Tse Chuan
AU - Jensen, Leif
AU - Haran, Murali
PY - 2011/9
Y1 - 2011/9
N2 - The "rural paradox" refers to standardized mortality rates in rural areas that are unexpectedly low in view of well-known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro-nonmetro and rural-urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county-level analyses such as ours to yield unbiased estimates and optimal model fit.
AB - The "rural paradox" refers to standardized mortality rates in rural areas that are unexpectedly low in view of well-known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro-nonmetro and rural-urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county-level analyses such as ours to yield unbiased estimates and optimal model fit.
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U2 - 10.1111/j.1549-0831.2011.00055.x
DO - 10.1111/j.1549-0831.2011.00055.x
M3 - Article
C2 - 25392565
AN - SCOPUS:80052530999
SN - 0036-0112
VL - 76
SP - 347
EP - 374
JO - Rural Sociology
JF - Rural Sociology
IS - 3
ER -