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Title: U.S. HEALTH AND NUTRITION: SAS SURVEY PROCEDURES AND NHANES

Author
item GOSSETT, JEFF - ACHRI-DAC
item JO, CHAN HEE - UAMS DEPT OF PEDIATRICS
item SIMPSON, PIPPA - ACHRI-DAC

Submitted to: Meeting Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 2/7/2006
Publication Date: 4/1/2006
Citation: Gossett, J., Jo, C., Simpson, P. 2006. U.S. health and nutrition: SAS survey procedures and NHANES. Proceedings, 31st Annual SAS Users Group International Conference, March 26-29, 2006, San Francisco, California. SUGI 31 Paper 140-31. Available: http://www2.sas.com/proceedings/sugi31/140-31.pdf.

Interpretive Summary: The Delta NIRI project conducts intervention research and collects data on health, nutrition, and food security. It is relevant to know how the Delta regions of Arkansas, Louisiana, and Mississippi compare to that of their US counterparts. We also would like to estimate sample size and power for future studies, which requires making assumptions about means and standard errors. NHANES data may be used in sample size calculations. The National Health and Nutrition Examination Survey (NHANES) is used to continually monitor and evaluate the health and nutrition of the United States. It is composed of cross-sectional, nationally representative health examination surveys of the U.S. civilian, non-institutionalized population. We demonstrate how to use SAS survey procedures (SURVEYMEANS, SURVEYFREQ, SURVEYREG, and SURVEYLOGISTIC) to analyze data from NHANES.

Technical Abstract: The National Health and Nutrition Examination Survey (NHANES) is used to evaluate the health and nutrition of the United States. It is composed of cross-sectional, nationally representative health examination surveys of the U.S. civilian, non-institutionalized population. A complex, stratified, multistage probability cluster sampling design is used in the surveys. Analyzing survey data such as the National Health and Nutrition Survey requires software that accounts for the complex design. You can use SAS survey procedures to analyze data from NHANES, including the SURVEYMEANS, SURVEYFREQ, SURVEYREG, and SURVEYLOGISTIC procedures. We discuss the use of these procedures and contrast them with the procedures available in SAS callable SUDAAN(RTI 2001).