Maternal Early Life Risk Factors for Offspring Birth Weight: Findings from the Add Health Study
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The aim of this study was to examine the pathways that link mothers’ early life socio economic status (SES) and mothers’ experience of childhood maltreatment with birth weight among their later born offspring. Data were drawn from a nationally representative longitudinal survey of school-aged respondents, initially enrolled during adolescence in Wave I (1994–1995) and Wave II (1996) of the National Longitudinal Study of Adolescent Health and followed-up in adulthood in Wave III (2001–2002). Data on offspring birth weight were obtained from nulliparous females (N = 1,897) who had given birth between Waves II and III. Analyses used structural equation modeling to examine the extent to which early life maternal risk predicted offspring birth weight, and demonstrated that maternal childhood SES and maternal childhood maltreatment predicted offspring birth weight through several mediated pathways. First, maternal adolescent substance use and prenatal cigarette use partially mediated the association between maternal childhood SES and offspring birth weight. Second, maternal adolescent depressive symptoms and adult SES partially mediated the association between maternal childhood SES and offspring birth weight. Third, adult SES partially mediated the association between maternal childhood SES and offspring birth weight. Fourth, maternal adolescent substance use and prenatal cigarette use partially mediated the association between maternal childhood maltreatment and offspring birth weight. Finally, maternal adolescent depressive symptoms and adult SES partially mediated the association between maternal childhood maltreatment and offspring birth weight. To our knowledge, this is the first study to identify maternal childhood maltreatment as an early life risk factor for offspring birth weight among a nationally representative sample of young women, and to demonstrate the mechanisms that link childhood SES and maltreatment to offspring birth weight. These findings suggest the importance of designing and implementing prevention and intervention strategies to address early life maternal social conditions in an effort to improve inter generational child health at birth.
KeywordsLow birth weight Childhood socioeconomic status Childhood maltreatment Add Health Adolescent substance use Prenatal smoking
This publication was made possible by Grant Number 1KL2RR025015-01 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH) and NIH Roadmap for Medical Research. This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis. We would like to thank the anonymous reviewers for their comments on earlier drafts.
- Anda, R., Felitti, V., Bremner, J., Walker, J., Whitfield, C., Perry, B., et al. (2006). The enduring effects of abuse and related adverse experiences in childhood: A convergence of evidence from neurobiology and epidemiology. European Archives of Psychiatry and Clinical Neuroscience, 256, 174–186.PubMedCrossRefGoogle Scholar
- Bearman, P., Jones, J., & Udry, J. (1997) The National Longitudinal Study of Adolescent Health: Research Design [WWW document]. URL: http://www.cpc.unc.edu/projects/addhealth/design.html.
- Chantala, K. M., Kalsbeek, W. D., & Andraca, E. (2003). Non-response in Wave III of the Add Health study. Retrieved from http://www.cpc.unc.edu/projects/addhealth/pubs/guides. Accessed June 10, 2010.
- Gamborg, M., Byberg, L., Rasmussen, F., Andersen, P., Baker, J., Bengtsson, C., et al. (2007). Birth weight and systolic blood pressure in adolescence and adulthood: Meta-regression analysis of sex- and age-specific result from 20 Nordic studies. American Journal of Epidemiology, 166, 634–645.PubMedCrossRefGoogle Scholar
- Hamilton B., Martin J., Ventura S., (2010). Births: Preliminary data for 2009. National vital statistics reports; volume 59 no. 3. Hyattsville, MD: National Center for Vital Statistics.Google Scholar
- Harris, K. M., Cheng, M. M. (2007). Dating major life events using an CAPI/CASI event history calendar in Add Health. Retrieved from http://psidonline.isr.umich.edu/Publications/Workshops/ehc-07papers/Add%20Health%20EHC%20Census%20paper%20Dec07.pdf.
- Kline, R. (2011). Principles and practice of structural equation modeling. New York: Guilford.Google Scholar
- Muthén, L., & Muthén, B. (1998–2007). Mplus User’s Guide. Fifth Edition. Los Angeles, CA: Muthén & Muthén.Google Scholar
- Rich-Edwards, J., Kleinman, K., Michels, K., Stampfer, M., Manson, J., Rexrode, K., et al. (2005). Longitudinal study of birth weight and adult body mass index in predicting risk of coronary heart disease and stroke in women. British Medical Journal. doi: 10.1136/bmj.38434.629630.E0.
- StataCorp. (2007). Stata statistical software: Release 10. College Station, TX: StataCorp LP.Google Scholar
- Straus M., Kinard E., & Williams L. (2004). The multidimensional neglectful behavior scale, form A: Adolescent and adult-recall version. Durham, NH: University of New Hampshire, Family Research Laboratory. Retrieved from http://pubpages.unh.edu/mas2/NS1G.pdf.