Postnatal Depressive Symptoms Among Mothers and Fathers of Infants Born Preterm: Prevalence and Impacts on Children's Early Cognitive Function

OBJECTIVE: Preterm birth is associated with lower cognitive functioning. One potential pathway is postnatal parental depression. The authors assessed depressive symptoms in mothers and fathers after preterm birth, and identified the impacts of both prematurity and parental depressive symptoms on children's early cognitive function. METHOD: Data were from the nationally representative Early Childhood Longitudinal Study, Birth Cohort (n = 5350). Depressive symptoms at 9 months were assessed by the Center for Epidemiologic Studies Depression Scale (CESD) and children's cognitive function at 24 months by the Bayley Short Form, Research Edition. Weighted generalized estimating equation models examined the extent to which preterm birth, and mothers' and fathers' postnatal depressive symptoms impacted children's cognitive function at 24 months, and whether the association between preterm birth and 24-month cognitive function was mediated by parental depressive symptoms. RESULTS: At 9 months, fathers of very preterm (<32 weeks gestation) and moderate/late preterm (32-37 weeks gestation) infants had higher CESD scores than fathers of term-born (≥37 weeks gestation) infants (p value = .02); preterm birth was not associated with maternal depressive symptoms. In multivariable analyses, preterm birth was associated with lower cognitive function at 24 months; this association was unaffected by adjustment for parental depressive symptoms. Fathers', but not mothers', postnatal depressive symptoms predicted lower cognitive function in the fully adjusted model (β = -0.11, 95% confidence interval, -0.18 to -0.03). CONCLUSION: Fathers of preterm infants have more postnatal depressive symptomology than fathers of term-born infants. Fathers' depressive symptoms also negatively impact children's early cognitive function. The national findings support early identification and treatment of fathers of preterm infants with depressive symptoms

Catalyzing a Reproductive Health and Social Justice Movement

Objectives: The maternal and child health (MCH) community, partnering with women and their families, has the potential to play a critical role in advancing a new multi-sector social movement focused on creating a women’s reproductive and economic justice agenda. Since the turn of the twenty-first century, the MCH field has been planting seeds for change. The time has come for this work to bear fruit as many states are facing stagnant or slow progress in reducing infant mortality, increasing maternal death rates, and growing health inequities. Methods: This paper synthesizes three current, interrelated approaches to addressing MCH challenges—life course theory, preconception health, and social justice/reproductive equity. Conclusion: Based on these core constructs, the authors offer four directions for advancing efforts to improve MCH outcomes. The first is to ensure access to quality health care for all. The second is to facilitate change through critical conversations about challenging issues such as poverty, racism, sexism, and immigration; the relevance of evidence-based practice in disenfranchised communities; and how we might be perpetuating inequities in our institutions. The third is to develop collaborative spaces in which leaders across diverse sectors can see their roles in creating equitable neighborhood conditions that ensure optimal reproductive choices and outcomes for women and their families. Last, the authors suggest that leaders engage the MCH workforce and its consumers in dialogue and action about local and national policies that address the social determinants of health and how these policies influence reproductive and early childhood outcomes

Closing the Black-White Gap in Birth Outcomes: A Life-course Approach

In the United States, Black infants have significantly worse birth outcomes than White infants. Over the past decades, public health efforts to address these disparities have focused primarily on increasing access to prenatal care, however, this has not led to closing the gap in birth outcomes. We propose a 12-point plan to reduce Black-White disparities in birth outcomes using a life-course approach. The first four points (increase access to interconception care, preconception care, quality prenatal care, and healthcare throughout the life course) address the needs of African American women for quality healthcare across the lifespan. The next four points (strengthen father involvement, systems integration, reproductive social capital, and community building) go beyond individual-level interventions to address enhancing family and community systems that may influence the health of pregnant women, families, and communities. The last four points (close the education gap, reduce poverty, support working mothers, and undo racism) move beyond the biomedical model to address the social and economic inequities that underlie much of health disparities. Closing the Black-White gap in birth outcomes requires a life course approach which addresses both early life disadvantages and cumulative allostatic load over the life course

The Prevalence and Impact of Substance Use Disorder and Treatment on Maternal Obstetric Experiences and Birth Outcomes Among Singleton Deliveries in Massachusetts

Objectives Despite widely-known negative effects of substance use disorders (SUD) on women, children, and society, knowledge about population-based prevalence and impact of SUD and SUD treatment during the perinatal period is limited. Methods Population-based data from 375,851 singleton deliveries in Massachusetts 2003-2007 were drawn from a maternal-infant longitudinally-linked statewide dataset of vital statistics, hospital discharges (including emergency department (ED) visits), and SUD treatment records. Maternal SUD and SUD treatment were identified from 1-year pre-conception through delivery. We determined (1) the prevalence of SUD and SUD treatment; (2) the association of SUD with women's perinatal health service utilization, obstetric experiences, and birth outcomes; and (3) the association of SUD treatment with birth outcomes, using both bivariate and adjusted analyses. Results 5.5% of Massachusetts's deliveries between 2003 and 2007 occurred in mothers with SUD, but only 66% of them received SUD treatment pre-delivery. Women with SUD were poorer, less educated and had more health problems; utilized less prenatal care but more antenatal ED visits and hospitalizations, and had worse obstetric and birth outcomes. In adjusted analyses, SUD was associated with higher risk of prematurity (AOR 1.35, 95% CI 1.28-1.41) and low birth weight (LBW) (AOR 1.73, 95% CI 1.64-1.82). Women receiving SUD treatment had lower odds of prematurity (AOR 0.61, 95% CI 0.55-0.68) and LBW (AOR 0.54, 95% CI 0.49-0.61). Conclusions for Practice SUD treatment may improve perinatal outcomes among pregnant women with SUD, but many who need treatment don't receive it. Longitudinally-linked existing public health and programmatic records provide opportunities for states to monitor SUD identification and treatment

Association of the First 1,000 Days Systems-Change Intervention on Maternal Gestational Weight Gain

Objective: To examine the associations of a clinical and public health systems-change intervention on the prevalence of excess gestational weight gain among high-risk, low-income women. Methods: In a quasi-experimental trial, we compared the prevalence of excess gestational weight gain among women before (n=643) and after (n=928) implementation of the First 1,000 Days program in two community health centers in Massachusetts. First 1,000 Days is a systematic program starting in early pregnancy and lasting through the first 24 months of childhood to prevent obesity among mother-child pairs. The program includes enhanced gestational weight gain tracking and counseling, screening for adverse health behaviors and sociocontextual factors, patient navigation and educational materials to support behavior change and social needs, and individualized health coaching for women at high risk for excess gestational weight gain based on their prepregnancy body mass index (BMI) or excess first-trimester weight gain. The primary outcome was gestational weight gain greater than the 2009 Institute of Medicine (now known as the National Academy of Medicine) guidelines according to prepregnancy BMI. Results: Among 1,571 women in the analytic sample, mean (SD) age was 30.0 (5.9) years and prepregnancy BMI was 28.1 (6.1); 65.8% of women started pregnancy with BMIs of 25 or higher, and 53.2% were Hispanic. We observed a lower prevalence (55.8-46.4%; unadjusted odds ratio [OR] 0.69, 95% CI 0.49-0.97), similar to results in a multivariable analysis (adjusted OR 0.69, 95% CI 0.49-0.99), of excess gestational weight gain among women with prepregnancy BMIs between 25 and 29.9. Among women who were overweight at the start of pregnancy, the lowest odds of excess gestational weight gain were observed among those with the most interaction with the program's components. Program enrollment was not associated with reduced excess gestational weight gain among women with prepregnancy BMIs of 30 or higher. Conclusions: Implementation of a systems-change intervention was associated with modest reduction in excess gestational weight gain among women who were overweight but not obese at the start of pregnancy

Population-based trends in pregnancy hypertension and pre-eclampsia: an international comparative study

Objective: The objective of this study was to compare international trends in pre-eclampsia rates and in overall pregnancy hypertension rates (including gestational hypertension, pre-eclampsia and eclampsia). Design: Population data (from birth and/or hospital records) on all women giving birth were available from Australia (two states), Canada (Alberta), Denmark, Norway, Scotland, Sweden and the USA (Massachusetts) for a minimum of 6 years from 1997 to 2007. All countries used the 10th revision of the International Classification of Diseases, except Massachusetts which used the 9th revision. There were no major changes to the diagnostic criteria or methods of data collection in any country during the study period. Population characteristics as well as rates of pregnancy hypertension and pre-eclampsia were compared. Results: Absolute rates varied across the populations as follows: pregnancy hypertension (3.6% to 9.1%), pre-eclampsia (1.4% to 4.0%) and early-onset preeclampsia (0.3% to 0.7%). Pregnancy hypertension and/or pre-eclampsia rates declined over time in most populations. This was unexpected given that factors associated with pregnancy hypertension such as prepregnancy obesity and maternal age are generally increasing. However, there was also a downward shift in gestational age with fewer pregnancies reaching 40 weeks. Conclusion: The rate of pregnancy hypertension and pre-eclampsia decreased in northern Europe and Australia from 1997 to 2007, but increased in Massachusetts. The use of a different International Classification of Diseases coding version in Massachusetts may contribute to the difference in trend. Elective delivery prior to the due date is the most likely explanation for the decrease observed in Europe and Australia. Also, the use of interventions that reduce the risk of pregnancy hypertension and/or progression to pre-eclampsia (low-dose aspirin, calcium supplementation and early delivery for mild hypertension) may have contributed to the decline

A Position Statement on Population Data Science: The science of data about people

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise challenges of balancing individual privacy and the public good, building appropriate sociotechnical systems to support data-intensive science, and determining whether defining a new field of inquiry might help move those collective interests and activities forward. A combination of expert engagement, literature review, and iterative conversations led to our conclusion that defining the field of Population Data Science (challenge 3) will help address the other two challenges as well. We define Population Data Science succinctly as the science of data about people and note that it is related to but distinct from the fields of data science and informatics. A broader definition names four characteristics of: data use for positive impact on citizens and society; bringing together and analyzing data from multiple sources; finding population-level insights; and developing safe, privacy sensitive and ethical infrastructure to support research. One implication of these characteristics is that few people possess all of the requisite knowledge and skills of Population Data Science, so this is by nature a multi-disciplinary field. Other implications include the need to advance various aspects of science, such as data linkage technology, various forms of analytics, and methods of public engagement. These implications are the beginnings of a research agenda for Population Data Science, which if approached as a collective field, can catalyze significant advances in our understanding of trends in society, health, and human behavior

Preconception Care Between Pregnancies: The Content of Internatal Care

For more than two decades, prenatal care has been a cornerstone of our nation’s strategy for improving pregnancy outcomes. In recent years, however, a growing recognition of the limits of prenatal care and the importance of maternal health before pregnancy has drawn increasing attention to preconception and internatal care. Internatal care refers to a package of healthcare and ancillary services provided to a woman and her family from the birth of one child to the birth of her next child. For healthy mothers, internatal care offers an opportunity for wellness promotion between pregnancies. For high-risk mothers, internatal care provides strategies for risk reduction before their next pregnancy. In this paper we begin to define the contents of internatal care. The core components of internatal care consist of risk assessment, health promotion, clinical and psychosocial interventions. We identified several priority areas, such as FINDS (family violence, infections, nutrition, depression, and stress) for risk assessment or BBEEFF (breastfeeding, back-to-sleep, exercise, exposures, family planning and folate) for health promotion. Women with chronic health conditions such as hypertension, diabetes, or weight problems should receive on-going care per clinical guidelines for their evaluation, treatment, and follow-up during the internatal period. For women with prior adverse outcomes such as preterm delivery, we propose an internatal care model based on known etiologic pathways, with the goal of preventing recurrence by addressing these biobehavioral pathways prior to the next pregnancy. We suggest enhancing service integration for women and families, including possibly care coordination and home visitation for selected high-risk women. The primary aim of this paper is to start a dialogue on the content of internatal care