TY - JOUR
T1 - Within-state geographic patterns of health insurance coverage and health risk factors in the United States
AU - Pickle, Linda Williams
AU - Su, Yuchen
PY - 2002
Y1 - 2002
N2 - Background: A number of health risk factors have been associated with the incidence and mortality of common diseases. Although knowing risk factor patterns at a small-area level would be useful for ecologic analyses and prevention program planning, risk factor data are generally published only at the state or regional level in the United States. This study presents maps of within-state patterns of several such factors. Methods: Responses to Behavioral Risk Factor Surveillance System (BRFSS) questions about smoking, obesity, health insurance, and mammography use were aggregated for 1992-1998 by county. These data were then geographically smoothed by adjusting each county's proportional response based on the responses of its neighboring counties. Results: The maps show risk factor patterns consistent with published state-level maps, but also identify within-state variations masked by aggregation to the larger geographic units. Conclusions: The risk factor maps presented should permit a better understanding of localized patterns of health risk behaviors and access to health care as well as help to target intervention activities in the U.S. areas that most need them.
AB - Background: A number of health risk factors have been associated with the incidence and mortality of common diseases. Although knowing risk factor patterns at a small-area level would be useful for ecologic analyses and prevention program planning, risk factor data are generally published only at the state or regional level in the United States. This study presents maps of within-state patterns of several such factors. Methods: Responses to Behavioral Risk Factor Surveillance System (BRFSS) questions about smoking, obesity, health insurance, and mammography use were aggregated for 1992-1998 by county. These data were then geographically smoothed by adjusting each county's proportional response based on the responses of its neighboring counties. Results: The maps show risk factor patterns consistent with published state-level maps, but also identify within-state variations masked by aggregation to the larger geographic units. Conclusions: The risk factor maps presented should permit a better understanding of localized patterns of health risk behaviors and access to health care as well as help to target intervention activities in the U.S. areas that most need them.
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U2 - 10.1016/S0749-3797(01)00402-0
DO - 10.1016/S0749-3797(01)00402-0
M3 - Article
C2 - 11818175
AN - SCOPUS:0036161469
SN - 0749-3797
VL - 22
SP - 75
EP - 83
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
IS - 2
ER -