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Analysis of Behavioral Risk Factor Surveillance System Demographic Bias and Effect of Weighting on Risk Factor Estimates |
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Abstract:
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The objective of the BRFSS is to collect uniform, state specific data on preventive health practices and risk behaviors that are linked to chronic diseases, injuries, and preventable infectious diseases in the adult population. Data are collected from a random sample of adults (one per household) through a telephone survey.
This study evaluates demographic non-response biases in the BRFSS, assesses the effect of the BRFSS design weights and post-stratification on the survey’s representativeness, and examines the results of different weighting strategies on calculated estimates of risk factors and prevalences. The analysis examines the effect of the current design weights and post-stratification in the BRFSS for the years 2000-2003 to evaluate the effect of the weights on the estimates produced and their variance. The project also evaluates different potential post-stratification methodologies and their effect on the same estimates. Data will be examined at the state level for trends over the four survey years.
The results of this analysis are being compared to external population and public health data sources as a measure of accuracy of the survey and appropriateness of the current and proposed weights. The risk factors analyzed include smoking, overweight/obesity, health insurance, health status, physical activity, drinking, and nutrition. Demographic characteristics included in the analysis are race/ethnicity, age, sex, educational attainment, income, and employment. This analysis is invaluable for determining the success of the data collection operations of the BRFSS and for evaluating and potentially reducing demographic bias in the survey. |
Author's Keywords:
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demographic bias, BRFSS, chronic disease, post-stratification weights, data quality, survey methodology |
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Association:
Name: American Association For Public Opinion Association URL: http://www.aapor.org
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Citation:
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MLA Citation:
| Stackhouse, Herbert. and Chowdhury, Pranesh. "Analysis of Behavioral Risk Factor Surveillance System Demographic Bias and Effect of Weighting on Risk Factor Estimates" Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL, <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p17061_index.html> |
APA Citation:
| Stackhouse, H. and Chowdhury, P. "Analysis of Behavioral Risk Factor Surveillance System Demographic Bias and Effect of Weighting on Risk Factor Estimates" Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL <Not Available>. 2009-05-25 from http://www.allacademic.com/meta/p17061_index.html |
Publication Type: Paper/Poster Proposal Abstract: The objective of the BRFSS is to collect uniform, state specific data on preventive health practices and risk behaviors that are linked to chronic diseases, injuries, and preventable infectious diseases in the adult population. Data are collected from a random sample of adults (one per household) through a telephone survey.
This study evaluates demographic non-response biases in the BRFSS, assesses the effect of the BRFSS design weights and post-stratification on the survey’s representativeness, and examines the results of different weighting strategies on calculated estimates of risk factors and prevalences. The analysis examines the effect of the current design weights and post-stratification in the BRFSS for the years 2000-2003 to evaluate the effect of the weights on the estimates produced and their variance. The project also evaluates different potential post-stratification methodologies and their effect on the same estimates. Data will be examined at the state level for trends over the four survey years.
The results of this analysis are being compared to external population and public health data sources as a measure of accuracy of the survey and appropriateness of the current and proposed weights. The risk factors analyzed include smoking, overweight/obesity, health insurance, health status, physical activity, drinking, and nutrition. Demographic characteristics included in the analysis are race/ethnicity, age, sex, educational attainment, income, and employment. This analysis is invaluable for determining the success of the data collection operations of the BRFSS and for evaluating and potentially reducing demographic bias in the survey. |
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