We advocate an approach to the analysis of CGMS data based upon a hierarchy of relevant clinical questions alluding to the representative nature of the data, the amount of time spent in glycemic excursions, and the degree of glycemic variation. Integrated use of these algorithms distinguishes between various patterns of glycemic control in those with and without diabetes.
In this article, we describe an extension to the egen functions zanthro() and zbmicat() (Vidmar et al., 2004, Stata Journal 4: 50-55). All functionality of the original version remains unchanged. In the 2004 version of zanthro(), z scores could be generated using the 2000 U.S. Centers for Disease Control and Prevention Growth Reference and the British 1990 Growth Reference. More recent growth references are now available. For measurement-forage charts, age can now be adjusted for gestational age. The zbmicat() function previously categorized children according to body mass index (weight/height 2) as normal weight, overweight, or obese. "Normal weight" is now split into normal weight and three grades of thinness. Finally, this updated version uses cubic rather than linear interpolation to calculate the values of L, M, and S for the child's decimal age between successive ages (or length/height for weight-for-length/height charts).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.