BACKGROUND: There is a growing interest in using the 2010 U.S. Census data for age adjustment after the Census data are officially released. This report discusses the rationale, procedures, demonstrations, and caveats of age adjustment using the 2010 U.S. Census data. METHODS: Empirical data from the Behavioral Risk Factor Surveillance System and the 2010 U.S. Census age composition were used in demonstrations of computing the age-adjusted prevalence of diagnosed diabetes by race/ethnicity, across various geographic regions, and over time. RESULTS: The use of the 2010 U.S. Census data yielded higher age-adjusted prevalence of diagnosed diabetes than using the 2000 projected US population data. The differences persisted across geographic regions, among racial/ethnic groups, and over time. Sixteen age compositions were generated to facilitate the use of the 2010 Census data in age adjustment. The SAS survey procedures and SUDAAN software programs yielded similar age-adjusted prevalence estimates of diagnosed diabetes. CONCLUSIONS: Using the 2010 U.S. Census data tends to yield a higher age-adjusted measure than using the 2000 projected U.S. population data. Consistent use of a standard population and age composition is recommended once they are chosen for age adjustment. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
BACKGROUND: There is a growing interest in using the 2010 U.S. Census data for age adjustment after the Census data are officially released. This report discusses the rationale, procedures, demonstrations, and caveats of age adjustment using the 2010 U.S. Census data. METHODS: Empirical data from the Behavioral Risk Factor Surveillance System and the 2010 U.S. Census age composition were used in demonstrations of computing the age-adjusted prevalence of diagnosed diabetes by race/ethnicity, across various geographic regions, and over time. RESULTS: The use of the 2010 U.S. Census data yielded higher age-adjusted prevalence of diagnosed diabetes than using the 2000 projected US population data. The differences persisted across geographic regions, among racial/ethnic groups, and over time. Sixteen age compositions were generated to facilitate the use of the 2010 Census data in age adjustment. The SAS survey procedures and SUDAAN software programs yielded similar age-adjusted prevalence estimates of diagnosed diabetes. CONCLUSIONS: Using the 2010 U.S. Census data tends to yield a higher age-adjusted measure than using the 2000 projected U.S. population data. Consistent use of a standard population and age composition is recommended once they are chosen for age adjustment. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
Entities:
Keywords:
Behavioral Risk Factor Surveillance System; age adjustment; diabetes; the 2010 US Census data; 关键词：根据年龄校正，行为危险因素监测系统，糖尿病，2010年美国人口普查数据
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