The Authors Reply

Anjel Vahratian1, Pierre Buekens2, Trude A. Bennett3, Robert E. Meyer4 and Michael D. Kogan5

1 Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI 48109-0276
2 School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112
3 Department of Maternal and Child Health, School of Public Health, University of North Carolina, Chapel Hill, NC 27519
4 State Center for Health Statistics, North Carolina Division of Public Health, Raleigh, NC 27699-1908
5 Office of Data and Information Management, Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, MD 20857

We thank Drs. Joseph and Ananth (1Go) for their comments on our article (2Go). We did observe a bimodal distribution of birth weights at 32–35 weeks' gestation; however, it was not as distinct within this gestational age interval as it was at 28–31 weeks. While we did not specifically discuss the distribution of birth weight at 32–35 weeks, it was presented in figure 1 of our article (2Go, p. 61).

We agree that a consensus about the best method of excluding implausible birth weights has yet to be determined. We feel that obtaining unbiased estimates for very low gestational ages is especially crucial from a public health viewpoint. As Joseph and Ananth note, one approach would have been to use the fetal growth standards published by Alexander et al. (3Go) to exclude implausible gestational ages. However, we do not believe that these standards, which are derived from all US livebirths, are applicable to North Carolina non-Hispanic African Americans, because this population has considerably lower gestational-age-specific birth weight percentiles than those presented by Alexander et al. Instead, we presented findings from an analysis based on the Wilcox-Russell approach, which separates birth-weight distributions of all births into predominant and residual distributions (4Go, 5Go). Briefly, the predominant distribution is bell-shaped and can reflect the birth-weight distribution of full-term births, while the residual distribution represents births in the lower tail of the curve outside of the predominant distribution and is thus an indication of the proportion of small preterm births. This approach avoids misclassification of gestational age by using the frequency distribution of birth weight.

Our analysis showed that the residual distribution of birth weight increased from 4.6 percent to 5.3 percent for non-Hispanic African Americans in North Carolina from 1989 to 1999 (2Go). Thus, the proportion of small preterm births increased over this time period; these are the infants at highest risk for adverse health outcomes. This finding reaffirmed our impression that preterm delivery rates for non-Hispanic African Americans were not declining and that preterm birth among non-Hispanic African Americans remains a public health issue in North Carolina.

References

  1. Joseph KS, Ananth CV. Re: "Preterm delivery rates in North Carolina: are they really declining among non-Hispanic African Americans?" (Letter). Am J Epidemiol 2005;161:1181.[Free Full Text]
  2. Vahratian A, Buekens P, Bennett TA, et al. Preterm delivery rates in North Carolina: are they really declining among non-Hispanic African Americans? Am J Epidemiol 2004;159:59–63.[Abstract/Free Full Text]
  3. Alexander GR, Himes JH, Kaufman RB, et al. A United States national reference for fetal growth. Obstet Gynecol 1996;87:163–68.[Abstract/Free Full Text]
  4. Wilcox AJ, Russell IT. Birthweight and perinatal mortality. I. On the frequency distribution of birthweight. Int J Epidemiol 1983;12:314–18.[Abstract]
  5. Wilcox AJ. On the importance—and the unimportance—of birthweight. Int J Epidemiol 2001;30:1233–41.[Abstract/Free Full Text]