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Activity Number: 257
Type: Topic Contributed
Date/Time: Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303298
Title: Using Survey Data to Investigate Changes Over Time in Health Indicators
Author(s): Donna J. Brogan*+
Companies: Emory University
Address: Rollins School of Public Health-Biostat Dept, Atlanta, GA, 30322,
Keywords: health indicator ; trend ; multi-year surveys ; logistic regression ; prevalence ; orthogonal polynomials
Abstract:

Annual or periodic cross-sectional health surveys in the US provide the opportunity to track health indicators over time. Various methods, using survey software, exist to investigate whether and how health indicators change over time. Several of these methods are demonstrated with SUDAAN analyses of multi-year BRFSS data sets from selected states: (1) chi-square test, (2) polynomial relationship between year and prevalence, (3) two recently added tests in SUDAAN CROSSTAB that assess a monotonic relationship between the health indicator and time (ACMH and TCMH), and (4) logistic regression with predicted marginals. These methods can be used also when other variables are controlled (e.g., age). Results show that all methods give consistent results, but some analyses are more informative than others under certain conditions.

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