- Research
- Open access
- Published:
Maternal education and its association with maternal and neonatal adverse outcomes in live births conceived using medically assisted reproduction (MAR)
Maternal Health, Neonatology and Perinatology volume 9, Article number: 16 (2023)
Abstract
Background
To examine the association between maternal education and adverse maternal and neonatal outcomes in women who conceived using medically assisted reproduction, which included fertility medications, intrauterine insemination, or in vitro fertilization.
Methods
We conducted a retrospective cohort study utilizing the US Vital Statistics data set on national birth certificates from 2016 to 2020. Women with live, non-anomalous singletons who conceived using MAR and had education status of the birthing female partner recorded were included. Patients were stratified into two groups: bachelor’s degree or higher, or less than a bachelor’s degree. The primary outcome was a composite of maternal adverse outcomes: intensive care unit (ICU) admission, uterine rupture, unplanned hysterectomy, or blood transfusion. The secondary outcome was a composite of neonatal adverse outcomes: neonatal ICU admission, ventilator support, or seizure. Multivariable modified Poisson regression models with robust error variance adjusted for maternal age, race, marital status, prenatal care, smoking during pregnancy, neonatal sex, and birth year estimated the relative risk (RR) of outcomes with a 95% confidence interval (CI).
Results
190,444 patients met the inclusion criteria: 142,943 had a bachelor’s degree or higher and 47,501 were without a bachelor’s degree. Composite maternal adverse outcomes were similar among patients with a bachelor’s degree (10.1 per 1,000 live births) and those without a bachelor’s degree (9.4 per 1,000 live births); ARR 1.05, 95% CI (0.94–1.17). However, composite adverse neonatal outcomes were significantly lower in women with a bachelor’s degree or higher (94.1 per 1,000 live births) compared to women without a bachelor’s degree (105.9 per 1,000 live births); ARR 0.91, 95% CI (0.88–0.94).
Conclusions
Our study demonstrated that lower maternal education level was not associated with maternal adverse outcomes in patients who conceived using MAR but was associated with increased rates of neonatal adverse outcomes. As access to infertility care increases, patients who conceive with MAR may be counseled that education level is not associated with maternal morbidity. Further research into the association between maternal education level and neonatal morbidity is indicated.
Introduction
In the United States, the use of medically assisted reproduction (MAR) has increased steadily over the past two decades, with current reports from the Centers for Disease Control and Prevention (CDC) citing 12 in every 100 patients aged 15–49 have used infertility services [1, 2]. The National Vital Statistics System data dictionary defines MAR as the use of fertility-enhancing drugs, artificial insemination, intrauterine insemination or the use of assisted reproductive technology [e.g., in vitro fertilization (IVF), or gamete intrafallopian transfer (GIFT)]. Despite the widespread use of medically assisted reproduction, many studies have raised concern regarding the adverse obstetrical and perinatal outcomes associated with pregnancies conceived using infertility treatments, though some of these risks may be intrinsic to the infertile population itself [3,4,5,6,7]. Continued investigation into the etiology of the increased risk of morbidity and interventions to optimize preconception health and counseling is necessary to minimize maternal and neonatal complications associated with MAR [5].
In recent years, there has been increased attention drawn to identifying causal links of social variables and their determinative role in obstetric morbidity, one factor being the level of maternal education [8]. There is considerable evidence that shows low level of maternal education is a predictor of poor perinatal outcomes including low Apgar score, preterm birth, neonatal low birth weight, and mortality [9,10,11]. Further, many population-based studies have shown an association between low maternal education and increased risk of poor maternal outcomes, namely post-cesarean complications, sepsis, ICU admissions, eclampsia, and death [12,13,14]. However, limited literature exists that describes the impact of maternal education on maternal-fetal morbidity in patients who conceive using MAR. Further research into maternal education as a predictor of adverse obstetrical outcomes in patients who use MAR may influence counseling and delivery of fertility interventions and further inform frameworks for addressing structural determinants of health in pregnancy.
In this present study, we conducted a retrospective national cohort study using the US National Birth Certificate dataset from 2016 to 2020 with the primary objective of examining the association between maternal education level and adverse maternal and neonatal outcomes in live births conceived using MAR. We hypothesized that higher maternal education levels would be associated with lower rates of both maternal and neonatal morbidity.
Methods
This was a population-based retrospective cohort study using US National Vital Statistics on linked birth and infant death data from 2016 to 2020. The study population included live births from women who conceived using MAR. The US National Vital Statistics defines medically assisted reproduction as the use of fertility-enhancing drugs, artificial insemination or intrauterine insemination, and assisted reproductive technology including in vitro fertilization (IVF) and gamete intrafallopian transfer (GIFT). The exclusion criteria were: non-US resident, birth outside a hospital, non-singleton gestation at time of delivery, gestational age less than 24 weeks or greater than 41 weeks, diabetes mellitus or gestational diabetes, gestational or chronic hypertension, preeclampsia, known fetal anomaly, spontaneous or unknown conception or unknown education level. Deliveries with missing outcome data were excluded from the analysis.
The exposure variable for this study was level of maternal education of the birthing partner: specifically, having less than a bachelor’s degree or having a bachelor’s degree or higher. The primary outcome was a composite of maternal adverse outcomes including: intensive care unit (ICU) admission, uterine rupture, unplanned hysterectomy, or need for a blood transfusion. The secondary outcome was a composite of neonatal adverse outcomes including: neonatal ICU admission, ventilator support, or seizure. We elected to utilize these variables to form the composite adverse outcome and exclude individuals with hypertensive disorders and pregestational or gestational diabetes to maintain consistency with previously published literature [15, 16]. A preplanned subset analysis stratified maternal morbidity by MAR technique. Multivariable modified Poisson regression models with robust error variance adjusted for maternal age, race, marital status, prenatal care, smoking during pregnancy, neonatal sex, and birth year estimated the relative risk (RR) of outcomes with a 95% confidence interval (CI). If mothers or neonates suffered more than one adverse outcome they were counted only once in the composite.
Differences in demographics were stratified by education level and categorical variables were analyzed with Chi-squared tests or Fisher’s tests where appropriate. Rates of adverse outcomes were reported per 1,000 live births. Multivariable modified Poisson regression models with robust error variance were used to detect the differences in the rates of maternal and neonatal morbidity in pregnancies conceived using MAR amongst mothers with differing education levels.
The results were presented as adjusted relative risk (aRR) with a 95% CI. Confounders that were adjusted for included maternal age (< 35, ≥ 35 years), maternal race and ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic other, unknown), marital status (married, not married), smoking during pregnancy (yes, no, unknown), infant sex (male, female), and delivery year (2016, 2017, 2018, 2019, 2020).
The statistical analysis was conducted using SAS 9.4. (SAS Institute, Cary NC). This study was considered exempt by the institutional review board at the Warren Alpert School of Medicine at Brown University due to the publicly available nature of the dataset, which does not contain direct personal identifiers (IRB# 1746034-1). The STROBE guidelines for reporting observational studies were followed.
Results
There were 18,999,808 live births in the study period, of which 190,444 (1.0%) met the inclusion criteria of the study (Fig. 1). The most common reasons for exclusion included: spontaneous or unknown conception method (98.2%), hypertensive disorders (9.5%), and diabetes (7.8%). Most individuals excluded in the spontaneous or unknown conception method group were excluded for spontaneous conception; less than 1% of individuals had a conception method that was unknown.
Demographics are available in Table 1. Maternal demographic data was significantly different between cohorts (p < .001) for all maternal variables. Women with a bachelor’s degree or higher were more likely to be older, non-Hispanic white, clinically normal weight, married, and have private insurance.
The overall rate of maternal morbidity amongst individuals included in the sample was 9.9 per 1,000 live births. Composite maternal adverse outcomes were similar among patients with a bachelor’s degree (10.1 per 1,000 live births) and those without a bachelor’s degree (9.4 per 1,000 live births); ARR 1.05, 95% CI (0.94–1.17) (Table 2). There was no difference between groups of any subcomponents of the composite outcome.
The overall rate of neonatal morbidity amongst individuals included in the sample was 97.0 per 1,000 live births. Composite adverse neonatal outcomes were significantly lower in women with a bachelor’s degree or higher (94.1 per 1,000 live births) compared to women without a bachelor’s degree (105.9 per 1,000 live births); ARR 0.91, 95% CI (0.88–0.94) (Table 3). Rates of NICU admission and ventilator support differed between cohorts.
The preplanned sub analysis demonstrated that in both cohorts women receiving intrauterine insemination or infertility medications experienced less maternal morbidity than women undergoing in vitro fertilization (Table 4). In women with a bachelor’s degree the difference was 6.5 vs. 11.9 per 1,000 live births; ARR 0.56, 95% CI (0.49–0.63). In women without a bachelor’s degree, it was 6.7 vs. 11.6 per 1,000 live births; ARR 0.58, 95%CI (0.47–0.71).
Discussion
This population-based retrospective cohort study demonstrated no significant association between lower levels of maternal education and increased maternal morbidity in individuals who conceived using MAR, even after adjustment for potential cofounders. There was, however, an association between maternal education and neonatal morbidity. There have been several studies that describe the relationship between formal education and health with education being cited as a critical component of a person’s health and a factor in other elements of a person’s current and future health. People with higher education levels often have access to health promoting resources while people with lower education have less access to these resources and often have unhealthy work environments [17, 18].
There is a growing body of literature identifying maternal race and ethnicity as independent risk factors for poor reproductive and neonatal outcomes in both spontaneous pregnancies and in pregnancies achieved using MAR [19,20,21]. More recently, researchers have pivoted from focusing solely on race to exploring the other, potential targetable, socioeconomic determinants of health potentially contributing to the growing disparities in reproductive outcomes of people of color [11]. Increased education level and health literacy, for example, have been associated with improved health outcomes [11, 22, 23]. However, few studies assessing the role of maternal education in maternal and neonatal morbidity exist due to missing data on maternal education status from many large databases; in these situations, race is often used as representation for socioeconomic status, leaving the effect of maternal education on morbidity largely unknown. In one study, lower maternal education was associated with a higher incidence of maternal and neonatal morbidity compared to women with a 4-year college degree, though this study did not differentiate between spontaneously achieved pregnancies and pregnancies achieved using MAR [11].
State mandated coverage of IVF and assisted reproductive technology has allowed for more inclusive access to infertility treatment, particularly in patient populations with lower income and lower health literacy. However, despite improvements in access to infertility care, disparities in outcomes still exist. In fact, racial disparities in utilization not only persisted regardless of mandate, but were greater in mandated states [24]. Our findings suggesting that there is no significant association between lower levels of maternal education and increased maternal morbidity in individuals who conceived using MAR initially appears to be inconsistent with trends in disparities found in other studies. However, it suggests that further research should be done to investigate other socioeconomic determinants of health as potential contributors to the disparities in outcomes that exist when using MAR.
There are several strengths to this study. The sample size of over 190,000 individuals provides power to detect uncommon outcomes such as unplanned hysterectomy and neonatal seizures. The use of data from 2016 to 2020 provides a contemporary estimate of rates of maternal and neonatal morbidity in individuals using MAR, and the importance of National Vital Statistics data has been recognized by the American College of Obstetricians and Gynecologists. Limitations of the study include the individuals who were excluded from the study due to unknown method of conception from 2016 to 2020. It is unknown if some of these excluded individuals conceived using MAR and had maternal and neonatal outcomes that could have impacted our findings. Another limitation of this study are the outcomes included in maternal morbidity. Further outcome data was not collected by the national dataset and therefore precludes deeper analysis. Finally, excluding the second parent’s education status also is a limitation of this study. Previous studies have shown strong relationships between paternal education and infant health outcomes, though there are few studies examining the relationship between paternal education and maternal and neonatal outcomes [25].
Conclusion
This study demonstrated that lower maternal education level was not associated with maternal adverse outcomes in patients who conceived using medically assisted reproduction but was associated with increased rates of neonatal adverse outcomes. As access to infertility care increases, patients who conceive with medically assisted reproduction may be counseled that education level is not associated with maternal morbidity. Further research into the association between maternal education level and neonatal morbidity is indicated.
Data availability
Data will be made available to the editors of the journal for review or query upon request.
Abbreviations
- MAR:
-
Medically assisted reproduction
- ICU:
-
Intensive Care Unit
- RR:
-
Relative Risk
- CI:
-
Confidence Interval
- CDC:
-
Centers for Disease Control and Prevention
References
National Center for Health Statistics. Infertility. 2021.
Luke B. Pregnancy and birth outcomes in couples with infertility with and without assisted reproductive technology: with an emphasis on US population-based studies. Am J Obstet Gynecol. 2017;217(3):270–81.
Belanoff C, Declercq ER, Diop H, Gopal D, Kotelchuck M, Luke B, et al. Severe maternal morbidity and the use of assisted Reproductive Technology in Massachusetts. Obstet Gynecol. 2016;127(3):527–34.
Pandey S, Shetty A, Hamilton M, Bhattacharya S, Maheshwari A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(5):485–503.
Martin AS, Monsour M, Kissin DM, Jamieson DJ, Callaghan WM, Boulet SL. Trends in severe maternal morbidity after assisted Reproductive Technology in the United States, 2008–2012. Obstet Gynecol. 2016;127(1):59–66.
Hobbs C, Jude G, Chen HY, Gupta M, Bartal MF, Chauhan SP et al. The rate of spontaneous Preterm Birth and Associated neonatal adverse outcomes in low-risk pregnancies conceived spontaneously Versus Intrauterine Insemination or Infertility medications. Women’s Reproductive Health. 2022;1–9.
Kawwass JF, Badell ML. Maternal and fetal risk Associated with assisted Reproductive Technology. Obstet Gynecol. 2018;132(3):763–72.
Wang E, Glazer KB, Howell EA, Janevic TM. Social determinants of pregnancy-related mortality and morbidity in the United States. Obstet Gynecol. 2020;135(4):896–915.
Almeida NKO, Pedreira CE, Almeida RMVR. Impact of maternal education level on risk of low apgar score. Public Health. 2016;140:244–9.
Yu Y, Liew Z, Wang A, Arah OA, Li J, Olsen J, et al. Mediating roles of preterm birth and restricted fetal growth in the relationship between maternal education and infant mortality: a Danish population-based cohort study. PLoS Med. 2019;16(6):e1002831.
Kern-Goldberger AR, Madden N, Baptiste CD, Friedman AM, Gyamfi-Bannerman C. Disparities in obstetric morbidity by maternal level of education. J Maternal-Fetal Neonatal Med. 2022;35(24):4682–6.
Karlsen S, Say L, Souza JP, Hogue CJ, Calles DL, Gülmezoglu AM, et al. The relationship between maternal education and mortality among women giving birth in health care institutions: analysis of the cross sectional WHO Global Survey on maternal and Perinatal Health. BMC Public Health. 2011;11:606.
Vasquez DN, Das Neves AV, Vidal L, Moseinco M, Lapadula J, Zakalik G, et al. Characteristics, outcomes, and predictability of critically Ill obstetric patients. Crit Care Med. 2015;43(9):1887–97.
Acosta CD, Harrison DA, Rowan K, Lucas DN, Kurinczuk JJ, Knight M. Maternal morbidity and mortality from severe sepsis: a national cohort study. BMJ Open. 2016;6(8):e012323.
Parchem JG, Gupta M, Chen HY, Wagner S, Mendez-Figueroa H, Chauhan SP. Adverse infant and maternal outcomes among low-risk term pregnancies stratified by race and ethnicity. Obstet Gynecol. 2020;135(4):925–34.
Backley S, Chen HY, Sibai BM, Chauhan SP, Fishel Bartal M. The association between number of repeat cesarean deliveries and adverse outcomes among low-risk pregnancies. Int J Gynaecol Obstet. 2022;159(1):246–53.
Myers DJ. Education and Health Disparities: A Macro, Not Micro, Phenomenon. NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy. 2010;20(2):175–7.
Hahn RA, Truman BI. Education Improves Public Health and Promotes Health Equity. Int J Health Serv. 2015;45(4):657–78.
Bryant AS, Worjoloh A, Caughey AB, Washington AE. Racial/ethnic disparities in obstetric outcomes and care: prevalence and determinants. Am J Obstet Gynecol. 2010;202(4):335–43.
Gyamfi-Bannerman C, Srinivas SK, Wright JD, Goffman D, Siddiq Z, D’Alton ME, et al. Postpartum Hemorrhage outcomes and race. Am J Obstet Gynecol. 2018;219(2):185e1–10.
Humphries LA, Chang O, Humm K, Sakkas D, Hacker MR. Influence of race and ethnicity on in vitro fertilization outcomes: systematic review. Am J Obstet Gynecol. 2016;214(2):212..e1-212.e17.
Williams DR, Costa MV, Odunlami AO, Mohammed SA. Moving Upstream. J Public Health Manage Pract. 2008;14(6):8–17.
Paasche-Orlow MK, Wolf MS. Promoting Health Literacy Research to Reduce Health disparities. J Health Commun. 2010;15(sup2):34–41.
Correia KFB, Kraschel K, Seifer DB. State insurance mandates for in vitro fertilization are not associated with improving racial and ethnic disparities in utilization and treatment outcomes. Am J Obstet Gynecol. 2022.
Rangel DE, Rauscher E. Paternal Education and Infant Health: variation by Race/Ethnicity. J Racial Ethn Health Disparities. 2021;8(6):1406–14.
Acknowledgements
Not applicable.
Funding
The authors did not receive support from any organization for the submitted work. The authors have no relevant financial or non-financial interests to disclose.
Author information
Authors and Affiliations
Contributions
CLH developed the study question and was a major contributor in writing the manuscript, GJ was a major contributor in writing the manuscript, CR performed statistical analysis and prepared tables, JLE was a major contributor in writing the manuscript, SW was a major contributor in writing the manuscript and in study conception.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This study was considered exempt by the institutional review board at the Warren Alpert School of Medicine at Brown University due to the publicly available nature of the dataset, which does not contain direct personal identifiers (IRB# 1746034-1).
Consent for publication
Consent not indicated as this project utilized a publicly available, deidentified dataset.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Hobbs, C.L., Raker, C., Jude, G. et al. Maternal education and its association with maternal and neonatal adverse outcomes in live births conceived using medically assisted reproduction (MAR). matern health, neonatol and perinatol 9, 16 (2023). https://doi.org/10.1186/s40748-023-00170-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s40748-023-00170-4