Time-Varying Outcomes Associated With Maternal Age at First Birth
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The operational definition of early motherhood remains equivocal across the literature. In response to the tendency of using age at first birth as a categorical predictor in previous research, the time-varying relationship between maternal age at first birth and socioeconomic and parenting/home outcomes was examined using longitudinal data.
Time-varying effect models were employed to examine educational attainment, home/parenting quality scores, and annual income as a function of age at first birth, controlling for race/ethnicity and presence of the father in the household during child ages 6–9.
Peak scores for outcomes were observed around maternal age 30 in all three models. Parenting/home quality improved with maternal age at first birth until mothers reached the late 20’s, when scores appeared to level out. Highest grade completed increased until just after age 30. Total annual income increased considerably until about age 30 then leveled out, although the plateau may be due to reduced sample size at the most advanced maternal ages. Father presence in the household and race/ethnicity were associated with all three outcomes.
Overall, later maternal age at first birth was associated with incrementally increasing parenting/home quality, greater educational attainment, and higher annual income. The results highlight the loss of information when utilizing categorical age groups to predict outcomes and suggest that optimal socioeconomic and parenting outcomes increase with age, leveling out around age 30. Researchers should consider curvilinear patterns of outcomes related to maternal age at first birth rather than rely on categorical comparisons of age groups.
KeywordsMaternal Parenting Age Income Education
C.J.F.: designed and executed the study, performed the data analyses, and wrote the paper. K.L.H.: collaborated in the design of the study, assisted with the data analyses, and collaborated in the writing of the manuscript. K.M.R. and P.J.Y. helped with the design of the study and collaborated in the writing of the manuscript. All authors reviewed and edited the final manuscript.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
Ethical Approval and Informed Consent
The Research Integrity and Compliance Review Office at the authors’ home institution considered this study exempt from IRB review because the variables from the NLSY data set used in this study were prepared with the intent of being available for public use, and therefore the data are not individually identifiable. Further, the National Longitudinal Survey (NLS) program ensures respondent confidentiality and obtains informed consent via established set procedures. These procedures are in compliance with Federal law and the policies and guidelines of the U.S. Office of Management and Budget and the U.S. Bureau of Labor Statistics. Identifying details of the participants are not published or suggested in the present study.
- Aitken, Z., Hewitt, B., Keogh, L., LaMontagne, A. D., Bentley, R., & Kavanagh, A. M. (2016). Young maternal age at first birth and mental health later in life: does the association vary by birth cohort? Social Science & Medicine, 157, 9–17.Google Scholar
- Baylin, J. (2016). The parenting brain. In J. Alper & D. Howe (Eds.), Assessing adoptive parents, foster carers and kinship carers: improving analysis and understanding of parenting capacity (pp. 131–140). London, UK: Jessica Kingsley Publishers.Google Scholar
- Black, A. Y., Fleming, N. A., & Rome, E. S. (2012). Pregnancy in adolescents. Adolescent Medicine: State of the Art Reviews, 23(1), 123–138.Google Scholar
- Bradley, R. H., & Caldwell, B. M. (1979). Home observation for measurement of the environment: a revision of the preschool scale. American Journal of Mental Deficiency, 84(3), 235–244.Google Scholar
- Brooks-Gunn, J., & Furstenberg, F. F. (1986). The children of adolescent mothers: physical, academic, and psychological outcomes. Developmental Review, 6(3), 224–251.Google Scholar
- Bureau of Labor Statistics, U.S. Department of Labor. (2012). National Longitudinal Survey of Youth 1979 cohort, 1979–2010 (rounds 1–24). Produced and distributed by the Center for Human Resource Research, The Ohio State University. Columbus, OH.Google Scholar
- Centers for Disease Control and Prevention. (2010). Reproductive health: teen pregnancy. https://www.cdc.gov/teenpregnancy/about/. Accessed Feb 2017.
- Chen, X., Wen, S. W., Fleming, N., Demissie, K., Rhoads, G. G., & Walker, M. (2007). Teenage pregnancy and adverse birth outcomes: a large population based retrospective cohort study. International Journal of Epidemiology, 36(2), 368–373. https://doi.org/10.1093/ije/dyl284.CrossRefPubMedGoogle Scholar
- Coll, C. G., & Pachter, L. M. (2002). Ethnic and minority parenting. In M. H. Bornstein (Ed.), Handbook of parenting: Social conditions and applied parenting (pp. 1–20). Mahwah, NJ: Erlbaum.Google Scholar
- DeNavas-Walt, C., & Proctor, B. D. (2014). Income and poverty in the United States: 2013.Google Scholar
- Hawkes, D. & Joshi, H. (2012) Age at motherhood and child development: evidence from the UK millennium cohort. National Institute Economic Review, 222(1), 52–66. https://doi.org/10.1177/002795011222200105.
- Hofferth S. L. (1987). The children of teen childbearers. In S. Hofferth & C. Hayes (Eds), Risking the future. (pp. 174–206). Washington, DC: National Academy Press.Google Scholar
- Jeon, S. H., Kalb, G., & Vu, H. (2008). Teenage mothers’ income support, education and paid work: The dynamics of welfare participation. Final Report for DEEWR. Melbourne, Australia: Melbourne Institute of Applied Economic and Social Research. http://melbourneinstitute.com/downloads/labour/7-07FinalReport.pdf.
- Kearney, M. S., & Levine, P. B. (2007). Socioeconomic disadvantage and early childbearing. In The problems of disadvantaged youth: an economic perspective (pp. 181–209). Chicago and London: University of Chicago Press.Google Scholar
- Li, R., Dziak, J. D., Tan, X., Huang, L. Wagner, A. T., & Yang, J. (2017). TVEM (time-varying effect modeling) SAS macro users’ guide (Version 3.1.1). University Park: The Methodology Center, Penn State. http://methodology.psu.edu.
- Mathews, T. J., & Hamilton, B. E. (2016). Mean age of mothers is on the rise: United States, 2000–2014. NCHS Data Brief, (232), 1–8.Google Scholar
- Price-Robertson, R. (2010). Supporting young parents. Australian Institute of Family Studies.Google Scholar
- Putnam-Hornstein, E., Cederbaum, J. A., King, B., Eastman, A. L., & Trickett, P. K. (2015). A population-level and longitudinal study of adolescent mothers and intergenerational maltreatment. American Journal of Epidemiology, 181(7), 496–503.Google Scholar
- Simons, L. G., Wickrama, K. A. S., Lee, T. K., Landers-Potts, M., Cutrona, C., & Conger, R. D. (2016). Testing family stress and family investment explanations for conduct problems among African American adolescents. Journal of Marriage and Family, 78(2), 498–515. https://doi.org/10.1111/jomf.12278.CrossRefGoogle Scholar
- U.S. Department of Education. (2016). Institute of Education Sciences, National Center for Education Statistics. https://nces.ed.gov/programs/coe/indicator_cbc.asp.