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Racial differences in birth health risk: A quantitative genetic approach

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Demography

Abstract

In the United States the gap between black and white babies’ birth weights has remained largely unexplained. Rather than trying to measure all relevant variables, we used a genetically informative design to study the relative importance of genetic and environmental factors. Employing multiple indicators of “birth health risk,” we found that the racial differences increased with the magnitude of the shared environmental effects. This suggested that possible genetic effects would not pertain to fetal genes, although genes affecting the mother’s physical or physiological characteristics could be important because they contribute to shared environment in our analysis.

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References

  • Akaike, H. 1987. “Factor Analysis and AIC.” Psychometrika 52:317–32.

    Article  Google Scholar 

  • Bentler, P.M. 1990. “Comparative Fit Indexes in Structural Models.” Psychological Bulletin 107:238–46.

    Article  Google Scholar 

  • Bollen, K.A. 1989. Structural Equations With Latent Variables. New York: Wiley.

    Google Scholar 

  • Boomsma, D.I., J.F. Orlebeke, and G.C.M. Van Baal. 1992. “The Dutch Twin Register: Growth Data on Weight and Height.” Behavior Genetics 22:247–51.

    Article  Google Scholar 

  • Brooks-Gunn, J., P.K. Klebanov, F. Liaw, and D. Spiker. 1993. “Enhancing the Development of Low-Birthweight, Premature Infants: Changes in Cognition and Behavior Over the First Three Years.” Child Development 64:736–53.

    Article  Google Scholar 

  • Carr-Hill, R., D.M. Campbell, M.H. Hall, and A. Meredith. 1987. “Is Birth Weight Determined Genetically?” British Medical Journal 295:687–89.

    Article  Google Scholar 

  • Center for Human Resource Research 1993. NLSY Child Handbook: A Guide to the 1986–1990 National Longitudinal Survey of Youth Child Data. Columbus, OH: Ohio State University Press.

    Google Scholar 

  • Chakraborty, R., M. Kamboh, M. Nwannkwo, and R. Ferrel. 1992. “Caucasian Genes in American Blacks: New Data.” American Journal of Human Genetics 50:145–55.

    Google Scholar 

  • Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Cramer, J.C. 1987. “Social Factors and Infant Mortality: Identifying High Risk Groups and Proximate Causes.” Demography 24:299–322.

    Article  Google Scholar 

  • — 1995. “Racial and Ethnic Differences in Birth Weight: The Role of Income and Financial Assistance.” Demography 32: 231–47.

    Article  Google Scholar 

  • Dolan, C.V. 1992. “Biometric Decomposition of Phenotypic Means in Human Samples.” PhD dissertation, Department of Developmental Psychology, University of Amsterdam, Amsterdam.

    Google Scholar 

  • Dolan, C.V., P.C.M. Molenaar, and D.I. Boomsma. 1989. “LISREL Analysis of Twin Data With Structured Means.” Behavior Genetics 19:51–62.

    Article  Google Scholar 

  • —. 1991. “Simultaneous Genetic Analysis of Longitudinal Means and Covariance Structure in the Simplex Model Using Twin Data.” Behavior Genetics 21:49–65.

    Article  Google Scholar 

  • —. 1992. “Decomposition of Multivariate Phenotypic Means in Multigroup Genetic Covariance Structure Analysis.” Behavior Genetics 22:319–35.

    Article  Google Scholar 

  • —. 1994. “Simultaneous Genetic Analysis of Means and Covariance Structure: Pearson-Lawley Selection Rules.” Behavior Genetics 24:17–24.

    Article  Google Scholar 

  • Falconer, D.S. 1989. Introduction to Quantitative Genetics. Essex, UK: Longman.

    Google Scholar 

  • Gortmaker, S.L. 1979. “Poverty and Infant Mortality in the United States.” American Sociological Review 44:280–97.

    Article  Google Scholar 

  • Institute of Medicine. 1985. Preventing Low Birth Weight. Washington, DC: National Academy Press.

    Google Scholar 

  • Jöreskog, K.G. and D. Sörbom. 1989. LISREL 7: A Guide to the Program and Applications. Chicago: SPSS Inc.

    Google Scholar 

  • Kallan, J.E. 1993. “Race, Intervening Variables, and Two Components of Low Birth Weight.” Demography 30:489–506.

    Article  Google Scholar 

  • Klein, N.K., M. Hack, and N. Breslau. 1989. “Children Who Were Very Low Birth Weight: Development and Academic Achievement at Nine Years of Age.” Journal of Developmental and Behavioral Pediatrics 10:32–37.

    Article  Google Scholar 

  • Lagerstrom, M., K. Bremme, P. Eneroth, and C.G. Janson. 1994. “Long-Term Development for Girls and Boys at Age 16–18 as Related to Birth Weight and Gestational Age.” International Journal of Psychophysiology 17:175–80.

    Article  Google Scholar 

  • Magnus, P. 1984. “Further Evidence for a Significant Effect of Fetal Genes on Variation in Birth Weight.” Clinical Genetics 26:289–96.

    Article  Google Scholar 

  • Marsh, H.W., J.R. Balla, and R.P. McDonald. 1988. “Goodness-of-Fit Indexes in Confirmatory Factor Analysis: The Effect of Sample Size.” Psychological Bulletin 103:391–410.

    Article  Google Scholar 

  • McCormick, M.C. 1985. “The Contribution of Low Birth Weight to Infant Mortality and Childhood Morbidity.” New England Journal of Medicine 312:82–90.

    Article  Google Scholar 

  • Morton, N.E. 1955. “The Inheritance of Human Birth Weight.” Annals of Human Genetics 26:397–405.

    Google Scholar 

  • Nance, W.E., A.A. Kramer, L.A. Corey, P.M. Winter, and L.J. Eaves. 1983. “A Causal Analysis of Birth Weight in the Offspring of Monozygotic Twins.” American Journal of Human Genetics 35:1211–23.

    Google Scholar 

  • Neale, M.C. 1994. Mx: Statistical Modeling. 2nd ed. Richmond: Department of Psychiatry, Virginia Commonwealth University.

    Google Scholar 

  • Neale, M.C. and L.R. Cardon. 1992. Methodology for Genetic Studies of Twins and Families. Dordrecht, The Netherlands: Kluwer.

    Google Scholar 

  • NLS Users’ Guide. 1994. Columbus: Ohio State University Press.

  • Plomin, R. and D. Daniels. 1987. “Why Are Children in the Same Family So Different From One Another?” Behavior and Brain Sciences 10:1–60.

    Article  Google Scholar 

  • Plomin, R., J.C. DeFries, and G.E. McClearn. 1990. Behavioral Genetics: A Primer. San Francisco: Freeman.

    Google Scholar 

  • Rodgers, J.L., D.C. Rowe, and C. Li. 1994. “Beyond Nature Versus Nurture: DF Analysis of Nonshared Influences on Problem Behaviors.” Developmental Psychology 30:374–84.

    Article  Google Scholar 

  • Rodgers, J.L., D.C. Rowe, and K. May. 1994. “DF Analysis of NLSY IQ/Achievement Data: Nonshared Environmental Influences.” Intelligence 19:157–77.

    Article  Google Scholar 

  • Rose, S.A., J.F. Feldman, S.L. Rose, I.F. Wallace, and C. McCarton. 1992. “Behavior Problems at 3 and 6 Years: Prevalence and Continuity in Full-Terms and Preterms.” Development and Psychopathology 4:361–74.

    Article  Google Scholar 

  • Rowe, D.C. and H.H. Cleveland. 1997. “Academic Achievement in African Americans and Whites: Are the Developmental Processes Similar?” Intelligence 23:205–28.

    Article  Google Scholar 

  • Rowe, D.C., A.T. Vazsonyi, and D.J. Flannery. 1994. “No More Than Skin Deep: Ethnic and Racial Similarity in Developmental Process.” Psychology Review 101:396–413.

    Article  Google Scholar 

  • Rushton, J.P. 1995. Race, Evolution, and Behavior: A Life History Perspective. New Brunswick, NJ: Transaction.

    Google Scholar 

  • Rushton, J.P. and A.F. Bogaert. 1987. “Race Differences in Sexual Behavior: Testing an Evolutionary Hypothesis.” Journal of Research in Personality 21:529–51.

    Article  Google Scholar 

  • Sappenfield, W.M., J.W. Buehler, N.J. Binkin, C.J.R. Hogue, L.T. Strauss, and J.C. Smith. 1987. “Differences in Neonatal and Postnatal Mortality by Race, Birth Weight, and Gestational Age.” Public Health Reports 102:182–91.

    Google Scholar 

  • Schoendorf, K.C., C.J.R. Hogue, J.C. Kleinman, and D. Rowley. 1992. “Mortality Among Infants of Black as Compared With White College-Educated Parents.” New England Journal of Medicine 326:1522–26.

    Article  Google Scholar 

  • Sörbom, D. 1974. “A General Method for Studying Differences in Factor Means and Factor Structure Between Groups.” British Journal of Mathematical and Statistical Psychology 27:229–39.

    Google Scholar 

  • Spurdle, A. and T. Jenkins. 1991. “Y Chromosome Probe p49a Detects Complex PvuII Haplotypes and Many New TaqI Haplotypes in Southern African Populations.” American Journal of Human Genetics 50:107–25.

    Google Scholar 

  • Tomchek, S.D. and S.J. Lane. 1993. “Full-Term Low Birth Weight Infants: Etiology and Developmental Implications.” Physical and Occupational Therapy in Pediatrics 13:43–65.

    Google Scholar 

  • Vlietinck, R., R. Derom, M.C. Neale, H. Maes, H. Van Loon, C. Derom, and M. Thiery. 1989. “Genetic and Environmental Variation in the Birth Weight of Twins.” Behavior Genetics 19:151–61.

    Article  Google Scholar 

  • Weaver, R.F. and P.W. Hedrick. 1989. Genetics. Dubuque: Brown.

    Google Scholar 

  • Williams, L.J. and P.J. Holahan. 1994. “Parsimony-Based Fit Indices for Multiple Indicator Models: Do They Work?” Structural Equation Modeling 1:161–89.

    Article  Google Scholar 

  • Wilson, R.S. 1984. “Risk and Resilience in Early Mental Development.” Developmental Psychology 21:795–805.

    Article  Google Scholar 

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Correspondence to Edwin J. C. G. van den Oord.

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van den Oord, E.J.C.G., Rowe, D.C. Racial differences in birth health risk: A quantitative genetic approach. Demography 37, 285–298 (2000). https://doi.org/10.2307/2648042

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