2014•Journal of DiabetesOpen access

Age adjustment of diabetes prevalence: Use of 2010 US Census data 根据年龄调整的糖尿病患病率:使用美国2010年人口普查数据

Chaoyang Li, Earl S. Ford, Guixiang Zhao, Xiaojun Wen, Carol A. Gotway

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Abstract

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.

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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.

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Available abstract

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.

Key concepts: Census, Demography, American Community Survey, Medicine, Ethnic group, Population, Diabetes mellitus, Gerontology

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Age adjustment of diabetes prevalence: Use of 2010 US Census data 根据年龄调整的糖尿病患病率:使用美国2010年人口普查数据 — Research Paper | ScholarLens