Skip to main content

Advertisement

SpringerLink
Log in

Previous Adverse Infant Outcomes as Predictors of Preconception Care Use: An Analysis of the 2010 and 2012 Los Angeles Mommy and Baby (LAMB) Surveys

  • Published:
Maternal and Child Health Journal Aims and scope Submit manuscript

Abstract

Objectives This study aimed to understand the impact of a previous adverse infant outcome (AIO) on use of preconception care prior to a subsequent pregnancy. Methods Responses from the 2010 and 2012 Los Angeles Mommy and Baby Surveys were analyzed. Weighted multivariate logistic regression was employed to identify significant associations between having had a previous AIO (preterm delivery, low birth weight infant, stillbirth, or major birth defect) and receipt of preconception care prior to the most recent pregnancy. Select patient-level covariates were included: chronic disease, age, education level, race/ethnicity, country of birth, insurance status prior to pregnancy and pregnancy intent. Adjustment for missing responses was performed using multiple chained imputation. Results After controlling for covariates, having had a previous AIO was associated with an increased odds of having utilized preconception care in the most recent pregnancy (OR 1.237, p = 0.040). Per the final regression model, a woman reporting a previous AIO and an intended subsequent pregnancy had a 42.4 % likelihood of having used preconception care. Of these women, only 28.8 % reported doing so because of concern regarding a previous birth complication. Discussion Women reporting a previous AIO were more likely to have used preconception care in a subsequent pregnancy. The prevalence of preconception care utilization remained low overall. Pregnancy intent emerged as a strong secondary predictor; any concerted strategy to improve access to preconception care must include initiatives to help ensure that pregnancies are planned.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Johnson, K., Posner. S. F., Biermann, J., Cordero, J. F., Atrash, H. K., Parker, C. S., et al. (2006). Recommendations to improve preconception health and health care—United States: A report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. MMWR Recommendations and Reports, 55(RR-6), 1–23.

    PubMed  Google Scholar 

  2. D’Angelo, D., Williams, L., Morrow, B., Cox, S., Harris, N., Harrison, L., et al. (2007). Preconception and interconception health status of women who recently gave birth to a live-born infant—Pregnancy Risk Assessment Monitoring System (PRAMS), United States, 26 reporting areas, 2004. Centers for Disease Control Morbidity and Mortality Weekly Report—Surveillance Summaries, 56(SS10), 1–35.

    PubMed  Google Scholar 

  3. Freda, M. C., & Moos, M. K. (2006). The history of preconception care: Evolving guidelines and standards. Maternal and Child Health Journal, 10, s43–s52.

    Article  PubMed  Google Scholar 

  4. American College of Obstetrics and Gynecology. (2005). ACOG committee opinion number 313: The importance of preconception care in the continuum of women’s health care. Obstetrics and Gynecology, 106(3), 665–666.

    Article  Google Scholar 

  5. Moos, M. K., Dunlop, A. L., Jack, B. W., Nelson, L., Coonrod, D. V., Long, R., et al. (2008). Healthier women, healthier reproductive outcomes: Recommendations for the routine care of all women of reproductive age. American Journal of Obstetrics and Gynecology, 199(6 Suppl 2), S280–S289.

    Article  PubMed  Google Scholar 

  6. Dean, S. V., Lassi, Z. S., Imam, A. M., & Bhutta, Z. A. (2014). Preconception care: Closing the gap in the continuum of care to accelerate improvements in maternal, newborn and child health. Reproductive Health, 11(Suppl 3), S1.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Williams, L., Zapata, L. B., D’Angelo, D. V., Harrison, L., & Morrow, B. (2012). Associations between preconception counseling and maternal behaviors before and during pregnancy. Maternal and Child Health Journal, 16(9), 1854–1861.

    Article  PubMed  Google Scholar 

  8. Eisenhauer, E., Uddin, D. E., Albers, P., Paton, S., & Stoughton, R. L. (2011). Establishment of a low birth weight registry and initial outcomes. Maternal and Child Health Journal, 15, 921–930.

    Article  PubMed  Google Scholar 

  9. Iams, J. D. (2014). Prevention of preterm parturition. New England Journal of Medicine, 370(3), 254–261.

    Article  CAS  PubMed  Google Scholar 

  10. Stubblefield, P. G., Coonrod, D. V., Reddy, U. M., Sayegh, R., Nicholson, W., Rychlik, D. F., & Jack, B. W. (2008). The clinical content of preconception care: Reproductive history. American Journal of Obstetrics and Gynecology, 199(6 Suppl 2), S373–S383.

    Article  PubMed  Google Scholar 

  11. Oza-Frank, R., Gilson, E., Keim, S. A., Lynch, C. D., & Klebanoff, M. A. (2014). Trends and factors associated with self-reported receipt of preconception care: PRAMS, 2004–2010. Birth, 41(4), 367–373.

    Article  PubMed  Google Scholar 

  12. Stephenson, J., Patel, D., Barrett, G., Howden, B., Copas, A., Ojukwu, O., et al. (2014). How do women prepare for pregnancy? Preconception experiences of women attending antenatal services and views of health professionals. PLoS One, 9(7), e103085.

    Article  PubMed  PubMed Central  Google Scholar 

  13. DiBari, J. N., Yu, S. M., Chao, S. M., & Lu, M. C. (2014). Use of postpartum care: Predictors and barriers. Journal of Pregnancy, 2014, 530769.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: J. Wiley and Sons.

    Google Scholar 

  15. Steel, A., Lucke, J., & Adams, J. (2015). The prevalence and nature of the use of preconception services by women with chronic health conditions: An integrative review. BMC Womens Health,. doi:10.1186/s12905-015-0165-6.

    PubMed  PubMed Central  Google Scholar 

  16. Conde-Agudelo, A., Rosas-Bermúdez, A., & Kafury-Goeta, A. C. (2007). Effects of birth spacing on maternal health: A systematic analysis. American Journal of Obstetrics and Gynecology, 196(4), 298–308.

    Article  Google Scholar 

  17. de Bocanegra, H. T., Chang, R., Howell, M., & Darney, P. (2014). Interpregnancy intervals: Impact of postpartum contraceptive effectiveness and coverage. American Journal of Obstetrics and Gynecology, 210(4), 311.e1–311.e18.

    Article  Google Scholar 

  18. White, K., Teal, S. B., & Potter, J. E. (2015). Contraception after delivery and short interpregnancy intervals among women in the United States. Obstetrics and Gynecology, 125(6), 1471–1477.

    Article  CAS  PubMed  Google Scholar 

  19. Lu, M. C. (2010). We can do better: Improving perinatal health in America. Journal of Women’s Health, 19(3), 569–574.

    Article  PubMed  Google Scholar 

  20. Dodd, J. M., Jones, L., Flenady, V., Cincotta, R., & Crowther, C. A. (2013). Prenatal administration of progesterone for preventing preterm birth in women considered to be at risk of preterm birth. Cochrane Database of Systematic Reviews, 7, CD004947.

    PubMed  Google Scholar 

  21. Chao, S. M., Donatoni, G., Bemis, C., Donovan, K., Harding, C., Davenport, D., et al. (2010). Integrated approaches to improve birth outcomes: Perinatal periods of risk, infant mortality review, and the Los Angeles Mommy and Baby Project. Maternal and Child Health Journal, 14, 827–837.

    Article  PubMed  Google Scholar 

  22. Chuang, C. H., Velott, D. L., & Weisman, C. S. (2012). Exploring knowledge and attitudes related to pregnancy and preconception health in women with chronic medical conditions. Maternal and Child Health Journal, 14(5), 713–719.

    Article  Google Scholar 

  23. Getahun, D., Lawrence, J. M., Fassett, M. J., Strickland, D., Koebnick, C., Chen, W., & Jacobsen, S. J. (2009). The association between stillbirth in the first pregnancy and subsequent adverse perinatal outcomes. American Journal of Obstetrics and Gynecology, 201, 378.e1–379.e6.

    Article  Google Scholar 

  24. Dunlop, A. L., Jack, B. W., Bottalico, J. N., Lu, M. C., James, A., Shellhaas, C. S., et al. (2008). The clinical content of preconception care: Women with chronic medical conditions. American Journal of Obstetrics and Gynecology, 199(6 Suppl 2), S310–S327.

    Article  PubMed  Google Scholar 

  25. Lassi, Z. S., Imam, A. M., Dean, S. V., & Bhutta, Z. A. (2014). Preconception care: Screening and management of chronic disease and promoting psychological health. Reproductive Health, 11(Suppl 3), S5.

    Article  Google Scholar 

  26. Peterson, C., Grosse, S. D., Li, R., Sharma, A. J., Razzaghi, H., Herman, W. H., & Gilboa, S. M. (2015). Preventable health and cost burden of adverse birth outcomes associated with pregestational diabetes in the United States. American Journal of Obstetrics and Gynecology, 212(74), e1–e9.

    PubMed  Google Scholar 

Download references

Acknowledgments

The 2010 and 2012 LAMB Surveys were supported by grants from the State of California Department of Public Health—Maternal, Child, and Adolescent Health Branch—through the Los Angeles County Department of Public Health and First 5 LA. This study was supported by funding from the Robert Wood Johnson Foundation (Grant #71897)

Author Contributions

Dr. Batra designed the study, carried out the analyses, drafted and revised the manuscript, and approved the final manuscript as submitted. Ms. Higgins coordinated data collection for the 2010 and 2012 LAMB surveys, assisted in the design of the study, and approved the final manuscript as submitted. Dr. Chao supervised the operation of the 2010 and 2012 LAMB surveys, assisted in design of the study, assisted with analyses, reviewed and revised the manuscript, and approved the final manuscript as submitted.

Author information

Authors and Affiliations

  1. Robert Wood Johnson Foundation Clinical Scholars Program, University of California, Los Angeles, Los Angeles, CA, USA

    Priya Batra

  2. Los Angeles County Department of Public Health, Maternal, Child and Adolescent Health Programs, Los Angeles, CA, USA

    Chandra Higgins & Shin M. Chao

Authors
  1. Priya Batra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chandra Higgins
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shin M. Chao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Priya Batra.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to disclose.

Ethical Standard

All LAMB Survey respondents provided informed consent for participation. The analyses presented here utilized de-identified LAMB Survey data. This study was reviewed by the Institutional Review Boards of the California Department of Public Health (Protocol ID 14-11-1782) and the University of California, Los Angeles (Protocol ID 14-001748).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Batra, P., Higgins, C. & Chao, S.M. Previous Adverse Infant Outcomes as Predictors of Preconception Care Use: An Analysis of the 2010 and 2012 Los Angeles Mommy and Baby (LAMB) Surveys. Matern Child Health J 20, 1170–1177 (2016). https://doi.org/10.1007/s10995-015-1904-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10995-015-1904-x

Keywords

Search

Navigation