Fathers Count: The Impact of Paternal Risk Factors on Birth Outcomes

Danish Diabetes Birth Registry 2: a study protocol of a national prospective cohort study to monitor outcomes of pregnancies of women with pre-existing diabetes

INTRODUCTION

Despite technological developments and intensified care, pregnancies in women with pre-existing diabetes are still considered high-risk pregnancies. The rate of adverse outcomes in pregnancies affected by diabetes in Denmark is currently unknown, and there is a limited understanding of mechanisms contributing to this elevated risk. To address these gaps, the Danish Diabetes Birth Registry 2 (DDBR2) was established. The aims of this registry are to evaluate maternal and fetal-neonatal outcomes based on 5 years cohort data, and to identify pathophysiology and risk factors associated with short-term and long-term outcomes of pregnancies in women with pre-existing diabetes.

METHODS AND ANALYSIS

The DDBR2 registry is a nationwide 5-year prospective cohort with an inclusion period from February 2023 to February 2028 of pregnancies in women with all types of pre-existing diabetes and includes registry, clinical and questionnaire data and biological samples of mother-partner-child trios. Eligible families (parents age ≥18 years and sufficient proficiency in Danish or English) can participate by either (1) basic level data obtained from medical records (mother and child) and questionnaires (partner) or (2) basic level data and additional data which includes questionnaires (mother and partner) and blood samples (all). The primary maternal outcome is Hemoglobin A1c (HbA1c) levels at the end of pregnancy and the primary offspring endpoint is the birth weight SD score. The DDBR2 registry will be complemented by genetic, epigenetic and metabolomic data as well as a biobank for future research, and the cohort will be followed through data from national databases to illuminate possible mechanisms that link maternal diabetes and other parental factors to a possible increased risk of adverse long-term child outcomes.

ETHICS AND DISSEMINATION

Approval from the Ethical Committee is obtained (S-20220039). Findings will be sought published in international scientific journals and shared among the participating hospitals and policymakers.

TRIAL REGISTRATION NUMBER

NCT05678543.

Comparison of birth outcomes of mothers covered by Medicaid versus those privately insured when accounting for social determinants of health

OBJECTIVES

To determine the association between maternal health insurance type and birth outcomes [prematurity, small for gestational age (SGA), Term/Appropriate for gestational age NICU admission (Term/AGA-NICU) & composite birth outcomes (CBO)] accounting for social determinants of health.

DESIGN/METHODS

A cross-sectional study of maternal surveys and birth certificate data of singleton live births in NY born to mothers with Medicaid (M) or Private Insurance (PI).

RESULTS

1015 mothers [M = 631, PI = 384) included. Individual birth outcomes did not differ between groups. Adjusting for social, demographic and clinical covariates, M mothers had similar odds of preterm birth, SGA, Term/AGA-NICU admission and CBO compared to PI.

CONCLUSIONS

M mothers were as likely as PI mothers to deliver a preterm, SGA or a Term/AGA-NICU infant after controlling for social determinants of health. Despite more social adversity among enrollees, our study suggests NY Medicaid recipients have similar birth outcomes to privately insured, socially advantaged women.

Maternal risk factors for fetal alcohol spectrum disorders: Distal variables

BACKGROUND

A variety of maternal risk factors for fetal alcohol spectrum disorders (FASD) have been described in the literature. Here, we conducted a multivariate analysis of a large array of potential distal influences on FASD risk.

METHODS

Interviews were conducted with 2515 mothers of first-grade students whose children were evaluated to assess risk for FASD. Topics included: physical/medical status, childbearing history, demographics, mental health, domestic violence, and trauma. Regression modeling utilized usual level of alcohol consumption by trimester and six selected distal variables (maternal head circumference, body mass index, age at pregnancy, gravidity, marital status, and formal years of education) to differentiate children with FASD from control children.

RESULTS

Despite individual variation in distal maternal risk factors among and within the mothers of children with each of the common diagnoses of FASD, patterns emerged that differentiated risk among mothers of children with FASD from mothers whose children were developing typically. Case-control comparisons indicate that mothers of children with FASD were significantly smaller physically, had higher gravidity and parity, and experienced more miscarriages and stillbirths, were less likely to be married, reported later pregnancy recognition, more depression, and lower formal educational achievement. They were also less engaged with a formal religion, were less happy, suffered more childhood trauma and interpersonal violence, were more likely to drink alone or with her partner, and drank to deal with anxiety, tension, and to be part of a group. Regression analysis showed that the predictor variables explain 57.5% of the variance in fetal alcohol syndrome (FAS) diagnoses, 30.1% of partial FAS (PFAS) diagnoses, and 46.4% of alcohol-related neurodevelopmental disorder (ARND) diagnoses in children with FASD compared to controls. While the proximal variables explained most of the diagnostic variance, six distal variables explained 16.7% (1 /6 ) of the variance in FAS diagnoses, 13.9% (1 /7 ) of PFAS, and 12.1% (1 /8 ) of ARND.

CONCLUSIONS

Differences in distal FASD risks were identified. Complex models to quantify risk for FASD hold promise for guiding prevention/intervention.

Paternal age and perinatal outcomes: an observational study

OBJECTIVES

The study's primary aim was to examine the relationship between paternal age and perinatal outcomes.

METHODS

This study used data from two hospital birth registries to examine the association between paternal age and adverse perinatal outcomes. The sample included all live singleton births between 2010 and 2022. The primary exposure was paternal age, and the following perinatal outcomes were considered: mode of conception, mode of delivery, pregnancy complications, and neonatal outcomes.

RESULTS

A total of 15,232 pregnant women were considered. Maternal and paternal ages were 31.9 ± 5.3 and 36.5 ± 6.5 years, respectively. Independent of maternal, paternal age was associated with lower odds of spontaneous conceptions (OR 0.930, 95 % CI 0.968/0.993; p=0.003) and higher odds of intracytoplasmatic sperm injection (OR 1.054, 95 % CI 1.045/1.062; p=0.0001), respectively. In contrast to maternal age, paternal age decreased the odds of any (OR 0.922, 95 % CI 0.985/0.999; p=0.032) and urgent/emergent (OR 0.984, 95 % CI 0.975/0.993; p=0.0001) cesarean delivery. Paternal age did not affect the gestation length, placental or neonatal weight, blood loss during delivery, and neonatal 5th-minute Apgar score.

CONCLUSIONS

Paternal age is associated with perinatal outcomes. These findings suggest that advanced paternal age may have implications for reproductive counseling and prenatal care.

Perceptions of Urban Father Support in Early Parenthood: A Critical Incident Analysis

Becoming a father is a common transitional event, however men are often not adequately prepared for their fathering role. The United States (U.S.) health care system does little to support fathers' parenting needs during the postnatal and infancy period. Moreover, father's support needs are often perceived as secondary to the mother's needs in the maternal-child system. It is important that fathers' social support needs be investigated in the first year of his newborn's life, especially in diverse populations. Therefore, the purpose of this study was to determine the social support needs of urban, African American fathers during early parenthood. Using the Critical Incident Technique (CIT), a descriptive, qualitative design was used to interview 35 fathers about their social support at 2-12 months after the birth of their baby. Using a semi-structured interview guide, fathers were asked to describe helpful and unhelpful events they experienced since the birth of their baby. Fathers reported 36 helpful events and 32 unhelpful events for an overall total of 68 events. Data was analyzed using House's Social Support Theory and the four social support categories: instrumental, informational, emotional, and appraisal. Using the CIT, main categories and subcategories were developed. The helpful categories included: 1) Helping father with infant care, 2) Providing information on infant care, 3) Receiving HCP assistance, 4) Managing relationships, and 5) Becoming a father. The unhelpful categories included: 1) Receiving unhelpful assistance, 2) Receiving unreliable or unwanted assistance, 3) Offering bad advice, 4) Conflicting relationships, 5) Conflicts with friends, 6) Unsatisfying HCP experience, and 7) Receiving no support from family/organizations. The results of the study validated House's Social Support Theory and served as an excellent framework for exploring social support needs in fathers. More research needs to be conducted on the social support needs of fathers during the first year of their infants' lives, especially with experienced African American fathers and nonresidential fathers, and how health care professionals (HCPs), specifically postnatal and child health nurses, can better support fathers during the infancy period.

Parental Education and Delirium Risk after Surgery in Older Adults

OBJECTIVES

Efforts to conceptualize risk factors for postoperative delirium in older adults have focused on the time proximate to the episode, but how early-life exposures influence delirium risk is poorly understood.

METHODS

An observational cohort of 547 patients aged 70+undergoing major non-cardiac surgery at two academic medical centers in Boston. Demographic characteristics, cognition, parental education, health, and participation in cognitively stimulating activities were assessed prior to surgery. Delirium incidence and severity were measured daily during hospitalization.

RESULTS

Higher paternal education was associated with significantly lower incidence of delirium (X2(1, N =547)=8.35, p <.001; odds ratio OR=.93, 95% CI, .87 to .98) and inversely associated with delirium severity (r(545)=-.13, p <.001). Higher maternal education was associated with lower delirium incidence but did not reach statistical significance. The effect of paternal education on delirium incidence was independent of the patient's education, estimated premorbid intelligence, medical comorbidities, neighborhood disadvantage, and participation in cognitively stimulating activities (X2(2, N =547)=31.22, p <.001).

CONCLUSIONS

Examining early-life exposures may yield unique insights into the risks and pathogenesis of delirium.

CLINICAL IMPLICATIONS

Evaluating long-term factors that increase vulnerability to delirium may improve our ability to calculate risk. It may guide clinical decision-making and inform pre- and post-operative recommendations.

Integrative Multi-omics Analysis of Childhood Aggressive Behavior

This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for subclinical aggression and investigated the connections among these biomarkers. Our data comprised transmitted and two non-transmitted polygenic scores (PGSs) for 15 traits, 78,772 CpGs, and 90 metabolites. The single-omics models selected 31 PGSs, 1614 CpGs, and 90 metabolites, and the multi-omics model comprised 44 PGSs, 746 CpGs, and 90 metabolites. The predictive accuracy for these models in the test (N = 277, cases = 42%) and independent clinical data (N = 142, cases = 45%) ranged from 43 to 57%. We observed strong connections between DNA methylation, amino acids, and parental non-transmitted PGSs for ADHD, Autism Spectrum Disorder, intelligence, smoking initiation, and self-reported health. Aggression-related omics traits link to known and novel risk factors, including inflammation, carcinogens, and smoking.

Intention to Breastfeed and Paternal Influence on Pregnant Mothers Exclusively Using Marijuana Compared with Other Substances

Objective: To determine intention to breastfeed (ITBF) rates among mothers exclusively using marijuana (eMJ) compared with electronic cigarettes (eEcig), tobacco products (eTob), or multisubstances (MS), nonusers (NU), and the influence of paternal presence and paternal substance use. Study Design: Cross-sectional study of parental survey responses merged with electronic birth certificates. Accounting for clinical and social determinants of health, analyses of ITBF included (1) all mothers, (2) single mothers, and (3) mothers with fathers. Results: Among all mothers (n = 1,073), eMJ, eTob, and MS users had lower odds of ITBF compared with NU. Only eMJ users had lower odds of ITBF for those without paternal presence. However, in those mothers with a paternal presence, odds of ITBF were similar to NU for eMJ, eTob, and MS users when accounting for paternal factors, including paternal substance use. Conclusion: Women exclusively using MJ have lower ITBF compared with NU. However, paternal presence mitigated this effect, independent of parental MJ use. The presence of fathers may represent a unique predictor for increased ITBF in MJ using mothers.

Birth outcomes associated with paternal polybrominated and polychlorinated biphenyl exposure

In 1973-74, a polybrominated biphenyl (PBB) flame retardant mixture was shipped to Michigan livestock feed mills in place of a nutritional supplement and contaminated the food supply. Following the accident, the Michigan PBB Registry was established to study the long-term health effects of halogenated compounds and is now led by a community-academic partnership. PBB exposure is associated with altered DNA methylation in sperm, which may lead to adverse birth outcomes in children whose fathers have increased levels of serum PBB or polychlorinated biphenyl (PCB). Paternal PBB and PCB levels of men enrolled in the Michigan PBB Registry (n = 155) were analyzed against matched offspring birthweight and gestational age (n = 336). Birthweight and gestational age were dichotomized at the 25th percentile and 37 weeks, respectively, and paternal PBB and PCB levels were examined as continuous measures and divided into tertiles. Associations of offspring birthweight and gestational age with paternal PBB and PCB serum concentrations were modeled using multivariable linear spline and log-risk regression, adjusting for family clustering, paternal health and lifestyle factors, maternal PBB, and PCB serum concentrations, sex, and offspring gestational age (for birthweight). Fathers in the middle and upper PBB and PCB tertiles had increased risks for lowest quartile birthweight compared to the first tertile, with adjusted risk ratios (aRR) = 1.67 (95% CI: 0.93, 2.99) and aRR = 2.06 (95% CI: 1.12, 3.79) for PBB, and aRR = 1.47 (95% CI: 0.79, 2.75) and aRR = 1.34 (95% CI: 0.70, 2.54) for PCB, respectively. Elevated paternal PBB levels were not associated with an increased risk for preterm birth, while PCB levels were associated with a small, but not significant, decrease in gestational age, β = -0.37 (95% CI: -0.76, 0.03) weeks per log unit increase PCB. The findings suggest that increased paternal PBB and PCB levels negatively impact offspring birthweight, and paternal PCB levels may negatively impact gestational age.

Marital status, immigration, and reproductive health among adolescent mothers in Canada, 1990-2018: A population-based, observational study

Immigrants to Canada increasingly come from regions where child marriage (<18 years) is prevalent. We described the prevalence, demographic characteristics, and reproductive health correlates of marriage among births to Canadian-born and foreign-born adolescent mothers. Using Canadian birth registrations from 1990 to 2018, marriage prevalence, parental birth region, and parental age gap were examined by maternal birthplace (Canada and 12 world regions) among births to mothers <18 years. Adjusted odds ratios (AORs) of preterm birth (PTB), small for gestational age (SGA), and repeat birth were estimated for the joint associations of adolescent maternal age group (<18-year, 18-19-year, and 20-24-year), marriage, and nativity status (n = 1,904,200). Depending on maternal birthplace, marital births represented 2.6% to 81.8% of births to mothers <18 years. Marriage among mothers giving birth at <18 years was associated with higher proportions of parents from the same birthplace and larger parental age gaps. AORs of PTB tended to increase with lower maternal age. AORs of SGA were generally higher among births to foreign-born mothers. Marriage was associated with lower AORs of PTB and SGA among births to Canadian-born mothers and PTB among births to foreign-born mothers in the older adolescent age groups, but no association existed in the <18-year group. Marriage was positively associated with repeat birth in all adolescent age groups, with stronger associations in the <18-year group. The reproductive health correlates of marriage are similar between births to Canadian-born and foreign-born mothers <18 years but some differ between births to mothers <18 years and those to older adolescent mothers.

Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms

Background

The association between prenatal pesticide exposures and a higher incidence of small-for-gestational-age (SGA) births has been reported. No prediction model has been developed for SGA neonates in pregnant women exposed to pesticides prior to pregnancy.

Methods

A retrospective cohort study was conducted using information from the National Free Preconception Health Examination Project between 2010 and 2012. A development set (n = 606) and a validation set (n = 151) of the dataset were split at random. Traditional logistic regression (LR) method and six machine learning classifiers were used to develop prediction models for SGA neonates. The Shapley Additive Explanation (SHAP) model was applied to determine the most influential variables that contributed to the outcome of the prediction.

Results

757 neonates in total were analyzed. SGA occurred in 12.9% (n = 98) of cases overall. With an area under the receiver-operating-characteristic curve (AUC) of 0.855 [95% confidence interval (CI): 0.752–0.959], the model based on category boosting (CatBoost) algorithm obtained the best performance in the validation set. With the exception of the LR model (AUC: 0.691, 95% CI: 0.554–0.828), all models had good AUCs. Using recursive feature elimination (RFE) approach to perform the feature selection, we included 15 variables in the final model based on CatBoost classifier, achieving the AUC of 0.811 (95% CI: 0.675–0.947).

Conclusions

Machine learning algorithms can develop satisfactory tools for SGA prediction in mothers exposed to pesticides prior to pregnancy, which might become a tool to predict SGA neonates in the high-risk population.

Advanced parental age is an independent risk factor for term low birth weight and macrosomia

We aimed to investigate association between parental age and the risks of term low birth weight and macrosomia. This was a retrospective cohort study using a national database including 2,245,785 term singleton live births with complete parental age data. Old parental age was defined as 35 years or older. Odd ratios (OR) for term low birth weight and macrosomia were analyzed using univariate and multivariate logistic regression analysis. Neonatal sex, maternal occupation, parity, nationality, age, and paternal age were significant factors of term low birth weight and macrosomia, in univariate analysis. In multivariate analysis, old maternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.122, 95% CI: 1.083 -1.162; and aOR = 1.166, 95% CI: 1.143 - 1.189, respectively). Similarly, old paternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.090, 95% CI: 1.058 -1.122; and aOR = 1.101, 95% CI: 1.083 - 1.119, respectively). Maternal education that lasted more than 12 years had reduced odds of term low birth weight and macrosomia (OR = 0.817, 95% CI: 0.792 -0.842; and OR = 0.894, 95% CI: 0.879 - 0.91, respectively). Paternal education that lasted more than 12 years also had reduced odds of term low birth weight and macrosomia (OR = 0.865, 95% CI: 0.84 -0.892; and OR = 0.897, 95% CI: 0.881 - 0.913, respectively). This study suggests that not only maternal age but also paternal age are significantly associated with term low birth weight and macrosomia. In addition, parental education levels are also associated with term low birth weight and macrosomia.

The socioeconomic landscape of the exposome during pregnancy

BACKGROUND

While socioeconomic position (SEP) is consistently related to pregnancy and birth outcome disparities, relevant biological mechanisms are manifold, thus necessitating more comprehensive characterization of SEP-exposome associations during pregnancy.

OBJECTIVES

We implemented an exposomic approach to systematically characterize the socioeconomic landscape of prenatal exposures in a setting where social segregation was less distinct in a hypotheses-generating manner.

METHODS

We described the correlation structure of 134 prenatal exogenous and endogenous sources (e.g., micronutrients, hormones, immunomodulatory metabolites, environmental pollutants) collected in a diverse, population-representative, urban, high-income longitudinal mother-offspring cohort (N = 1341; 2009-2011). We examined the associations between maternal, paternal, household, and areal level SEP indicators and 134 exposures using multiple regressions adjusted for precision variables, as well as potential effect measure modification by ethnicity and nativity. Finally, we generated summary SEP indices using Multiple Correspondence Analysis to further explore possible curved relationships.

RESULTS

Individual and household SEP were associated with anthropometric/adiposity measures, folate, omega-3 fatty acids, insulin-like growth factor-II, fasting glucose, and neopterin, an inflammatory marker. We observed paternal education was more strongly and consistently related to maternal exposures than maternal education. This was most apparent amongst couples discordant on education. Analyses revealed additional non-linear associations between areal composite SEP and particulate matter. Environmental contaminants (e.g., per- and polyfluoroalkyl substances) and micronutrients (e.g., folate and copper) showed opposing associations by ethnicity and nativity, respectively.

DISCUSSION

SEP-exposome relationships are complex, non-linear, and context specific. Our findings reinforce the potential role of paternal contributions and context-specific modifiers of associations, such as between ethnicity and maternal diet-related exposures. Despite weak presumed areal clustering of individual exposures in our context, our approach reinforces subtle non-linearities in areal-level exposures.

Development and Evaluation of a Machine Learning Prediction Model for Small-for-Gestational-Age Births in Women Exposed to Radiation before Pregnancy

Exposure to radiation has been associated with increased risk of delivering small-for-gestational-age (SGA) newborns. There are no tools to predict SGA newborns in pregnant women exposed to radiation before pregnancy. Here, we aimed to develop an array of machine learning (ML) models to predict SGA newborns in women exposed to radiation before pregnancy. Patients’ data was obtained from the National Free Preconception Health Examination Project from 2010 to 2012. The data were randomly divided into a training dataset (n = 364) and a testing dataset (n = 91). Eight various ML models were compared for solving the binary classification of SGA prediction, followed by a post hoc explainability based on the SHAP model to identify and interpret the most important features that contribute to the prediction outcome. A total of 455 newborns were included, with the occurrence of 60 SGA births (13.2%). Overall, the model obtained by extreme gradient boosting (XGBoost) achieved the highest area under the receiver-operating-characteristic curve (AUC) in the testing set (0.844, 95% confidence interval (CI): 0.713–0.974). All models showed satisfied AUCs, except for the logistic regression model (AUC: 0.561, 95% CI: 0.355–0.768). After feature selection by recursive feature elimination (RFE), 15 features were included in the final prediction model using the XGBoost algorithm, with an AUC of 0.821 (95% CI: 0.650–0.993). ML algorithms can generate robust models to predict SGA newborns in pregnant women exposed to radiation before pregnancy, which may thus be used as a prediction tool for SGA newborns in high-risk pregnant women.

The influence of maternal and paternal education on birth outcomes: an analysis of the Ottawa and Kingston (OaK) birth cohort

BACKGROUND

Education is considered one of the most robust determinants of health. However, it is unclear whether maternal education and paternal education have differential impacts on perinatal health outcomes. We assess maternal and paternal education differences and their association with adverse birth outcomes in a large birth cohort from Ontario, Canada.

METHODS

The OaK Birth Cohort recruited patients from Ontario, Canada, between October 2002 and April 2009. We recruited mothers were recruited between 12 and 20 weeks' gestation and collected both mother and infant data. The final sample size of the cohort was 8,085 participants. We use logistic regression to model the probability of preterm birth (less than 34 and 37 weeks' gestation), small-for-gestational-age (SGA), or stillbirth as a function of maternal and paternal educational attainment. We adjust for household-level income, maternal and paternal race and ethnicity, and compare the strength of the association between maternal and paternal education on outcomes using Wald tests.

RESULTS

7,928 mother-father-offspring triads were available for the current analysis. 75% of mothers and fathers had college or university level education, and 8.7% of mothers experienced preterm delivery. Compared to mothers with college or university education, mothers with a high school education had an odds ratio of 1.37 (95% CI: 1.01-1.87) for SGA. Paternal education was not associated with infant outcomes. Comparing the odds ratios for maternal education and paternal education showed a stronger association than paternal education at the high school level for SGA birth (difference in odds ratio: 1.95, 95% CI: 1.13-3.36, p = .016) among women at least 25 years old.

CONCLUSION

Maternal education was associated with SGA, and this effect was more robust than paternal education, but both associations were weaker than previously reported.

The Neural Basis of Human Fatherhood: A Unique Biocultural Perspective on Plasticity of Brain and Behavior

With the growing involvement of fathers in childrearing and the application of neuroscientific tools to research on parenting, there is a need to understand how a father's brain and neurohormonal systems accommodate the transition to parenthood and how such neurobiological changes impact children's mental health, sociality, and family functioning. In this paper, we present a theoretical model on the human father's brain and the neural adaptations that take place when fathers assume an involved role. The neurobiology of fatherhood shows great variability across individuals, societies, and cultures and is shaped to a great extent by bottom-up caregiving experiences and the amount of childrearing responsibilities. Mechanisms of mother-father coparental brain coordination and hormonal correlates of paternal behavior are detailed. Adaptations in the father's brain during pregnancy and across the postpartum year carry long-term implications for children's emotion regulation, stress management, and symptom formation. We propose a new conceptual model of HEALthy Father Brain that describes how a father's brain serves as a source of resilience in the context of family adversity and its capacity to "heal", protect, and foster social brain maturation and functionality in family members via paternal sensitivity, attunement, and support, which, in turn, promote child development and healthy family functioning. Father's brain provides a unique model on neural plasticity as sustained by committed acts of caregiving, thereby affording a novel perspective on the brain basis of human affiliation.

Differences in birthweight by maternal and paternal nativity status in Canada

BACKGROUND

Parental nativity, as well as duration of residence of foreign-born parents in the host country, has been shown to be associated with size at birth. However, most studies have focused on maternal nativity status only and have not accounted for important characteristics of both parents.

OBJECTIVE

To explore whether maternal and paternal nativity and length of residence (LOR) are independently associated with birthweight for gestational age in a representative sample of infants in Canada.

METHODS

We compared mean differences in sex- and gestational age-standardised birthweight z-score by nativity status of both parents in a nationally representative sample of 130,532 singleton infants born between May 2004 and May 2006 to mothers residing in Canada. We categorised parental nativity status into four groups (both parents Canada-born, mother only foreign-born, father only foreign-born and both parents foreign-born) and parents' LOR into three (both ≤10 years, only one parent ≤10 years and both >10 years). We estimated mean differences in birthweight z-score and their 95% confidence intervals in linear regression models adjusted for parity, parents' ages, education, ethnicity and marital status of the mother.

RESULTS

Compared with babies of Canada-born couples, those of two foreign-born parents had on average smaller birthweight z-score, -0.23 (95% CI -0.28, -0.25). However, after adjustment, the mean difference in z-score was -0.02 (95% CI -0.05, 0.00). Infants born to parents who had both resided in Canada for ≤10 years had a unadjusted mean difference in z-score of -0.27 (95% CI -0.29, -0.26), compared infants whose parents were both Canada-born, but the difference became negligible (-0.02, 95% CI -0.04, 0.01) after adjustment.

CONCLUSION

The birthweight differences by parental nativity or length of residence observed in our study population could be attributed to differences in the distribution of other parental characteristics that affect birthweight.

Impact of paternal presence and parental social-demographic characteristics on birth outcomes

OBJECTIVES

Maternal race, marital status, and social environment impact risk of preterm delivery and size for gestational age. Although some paternal characteristics such as age are associated with pregnancy outcomes, the influence of the paternal presence, race/ethnicity and adverse life events is not well known. The objective of the study was to assess birth outcomes in mothers with a paternal presence compared to those without during the post-partum period. The secondary aim was to determine whether paternal race is associated with birth outcomes.

METHODS

This was a cross-sectional study using parental surveys linked with birth certificate data from 2016 to 2018. Adverse birth composite outcomes (ABCO) including small for gestational age (SGA), prematurity or neonatal intensive care unit admission (NICU) were assessed.

RESULTS

A total of 695 parents were analyzed (239 single mothers and 228 mother-father pairs). Compared to mothers with a father present, mothers without a father present exhibited increased odds of ABCO, prematurity and NICU. Non-Hispanic Black fathers had increased odds of ABCO and NICU compared to Non-Hispanic Whites (NHW). Hispanic fathers had increased odds of NICU compared to NHW.

CONCLUSIONS

Paternal absence in the post-partum period and paternal race were both independently associated with ABCO and NICU. Assessment of paternal presence and paternal race in clinical practice may help identify opportunities for additional support necessary to optimize birth outcomes.

Recurrent preterm birth risk assessment for two delivery subtypes: A multivariable analysis

OBJECTIVE

The study sought to develop and apply a framework that uses a clinical phenotyping tool to assess risk for recurrent preterm birth.

MATERIALS AND METHODS

We extended an existing clinical phenotyping tool and applied a 4-step framework for our retrospective cohort study. The study was based on data collected in the Genomic and Proteomic Network for Preterm Birth Research Longitudinal Cohort Study (GPN-PBR LS). A total of 52 sociodemographic, clinical and obstetric history-related risk factors were selected for the analysis. Spontaneous and indicated delivery subtypes were analyzed both individually and in combination. Chi-square analysis and Kaplan-Meier estimate were used for univariate analysis. A Cox proportional hazards model was used for multivariable analysis.

RESULTS

: A total of 428 women with a history of spontaneous preterm birth qualified for our analysis. The predictors of preterm delivery used in multivariable model were maternal age, maternal race, household income, marital status, previous caesarean section, number of previous deliveries, number of previous abortions, previous birth weight, cervical insufficiency, decidual hemorrhage, and placental dysfunction. The models stratified by delivery subtype performed better than the naïve model (concordance 0.76 for the spontaneous model, 0.87 for the indicated model, and 0.72 for the naïve model).

DISCUSSION

The proposed 4-step framework is effective to analyze risk factors for recurrent preterm birth in a retrospective cohort and possesses practical features for future analyses with other data sources (eg, electronic health record data).

CONCLUSIONS

We developed an analytical framework that utilizes a clinical phenotyping tool and performed a survival analysis to analyze risk for recurrent preterm birth.

Exposure to atmospheric metals using moss bioindicators and neonatal health outcomes in Portland, Oregon

Studying the impacts of prenatal atmospheric heavy-metal exposure is challenging, because biological exposure monitoring does not distinguish between specific sources, and high-resolution air monitoring data is lacking for heavy metals. Bioindicators - animal or plant species that can capture environmental quality - are a low-cost tool for evaluating exposure to atmospheric heavy-metal pollution that have received little attention in the public-health literature. We obtained birth records for Portland, Oregon live births (2008-2014) and modeled metal concentrations derived from 346 samples of moss bioindicators collected in 2013. Exposure estimates were assigned using mother's residential address at birth for six metals with known toxic and estrogenic effects (arsenic, cadmium, chromium, cobalt, nickel, lead). Associations were evaluated for continuous (cts) and quartile-based (Q) metal estimates and three birth outcomes (preterm birth (PTB; <37 weeks)), very PTB (vPTB; <32 weeks), small for gestational age (SGA; 10th percentile of weight by age and sex)) using logistic regression models with adjustment for demographic characteristics, and stratified by maternal race. Chromium and cobalt were associated with increased odds of vPTB (chromium - odds ratio (OR)_cts = 1.09, 95% CI: 1.00, 1.17; cobalt - OR_Q4vsQ1 = 1.33, 95% CI: 1.03, 1.71). Cobalt, chromium and cadmium were significantly associated with odds of SGA, although the direction of association differed by metal (cobalt - OR_cts = 1.04, 95% CI: 1.01, 1.07; chromium - OR_Q3vsQ1 = 0.91, 95% CI: 0.83, 0.99; cadmium - OR_cts = 0.96, 95% CI: 0.93, 1.00). In stratified analyses, odds of SGA were significantly different among non-white mothers compared to white mothers with exposure to chromium, cobalt, lead and nickel. This novel application of a moss-based exposure metric found that exposure to some atmospheric metals is associated with adverse birth outcomes. These findings are consistent with previous literature and suggest that moss bioindicators are a useful complement to traditional exposure-assessment methods.

Are small-for-gestational-age preterm infants at increased risk of overweight? Statistical pitfalls in overadjusting for body size measures

OBJECTIVE

The objective of this study is to analyze the effect of adjusting for body measures on the association between small for gestational age (SGA) and overweight at 3 years.

STUDY DESIGN

Data were obtained from the Preterm Infant Multicenter Growth Study (n = 1089). Logistic regression was used, to adjust for confounders with additional adjustments separately for weight and height at 21 months. Marginal structural models (MSMs) estimated the direct effect of SGA on overweight.

RESULTS

The crude and adjusted for confounders models yielded null associations between SGA and overweight. Adjusting for height yielded a positive association (odds ratio (OR): 2.31, 95% CI: 0.52-10.26) and adjusting for weight provided a significantly positive association (OR: 6.60, 95% CI: 1.10-37.14). The MSMs, with height and weight held constant, provided no evidence for a direct effect of SGA on overweight (OR: 0.83, 95% CI: 0.14-5.01, OR: 0.71, 95% CI: 0.18-2.81, respectively).

CONCLUSION

Adjusting for body measures can change the association between SGA and overweight, providing spurious estimates.

The Association of Paternal Race and Ethnicity with Adverse Pregnancy Outcomes in a Contemporary U.S. Cohort

OBJECTIVE

Maternal racial and ethnic disparities exist in obstetric outcomes. The contribution of paternal race and ethnicity toward obstetric outcomes has been less well documented. The objective of this study was to investigate the association between paternal race and ethnicity and several adverse pregnancy outcomes.

STUDY DESIGN

This was a retrospective cohort of birth data from the CDC National Vital Statistics, years 2013-2017. All singleton live births were included in the analysis. Records with missing paternal race and ethnicity were excluded. The primary dependent variables were the following adverse maternal and perinatal outcomes: gestational diabetes, hypertensive disorder of pregnancy, preterm birth <37 weeks, cesarean delivery, low birth weight <2,500 g, 5-minute Apgar's score <7, admission to neonatal intensive care unit (NICU), and assisted ventilation at > 6 hours of life. The main exposure was paternal race and ethnicity, which was grouped into non-Hispanic white, non-Hispanic black, Hispanic, and other. Other race and ethnicity category included: American Indian, Alaskan Native, Asian, Native Hawaiian, or other Pacific Islander. Univariable and multivariable analyses were done to determine whether paternal race and ethnicity was independently associated with adverse pregnancy outcomes.

RESULTS

A total of 16,482,745 births were included. In univariable analysis, all adverse obstetric outcomes were significantly associated with paternal race and ethnicity. In multivariable analysis, controlling for maternal and paternal demographic characteristics and maternal clinical factors, paternal race and ethnicity remained significantly associated with the majority of the adverse pregnancy outcomes. The strongest association was seen with: (1) paternal non-Hispanic black race and ethnicity, and higher rates of LBW and preterm birth (Odds ratio [OR] = 1.25, 95% CI: 1.24-1.27 and OR = 1.14, 95% CI: 1.13-1.15, respectively); (2) paternal Hispanic race and ethnicity and lower rates of 5-minute Apgar's score <7, and assisted ventilation at >6 hours of life (OR = 0.78, 95% CI: 0.77-0.79, and OR = 0.77, 95% CI: 0.75-0.78, respectively); and (3) other paternal race and ethnicity and higher rates of gestational diabetes, but lower rates of hypertensive disorder of pregnancy and assisted ventilation >6 hours of life (OR = 1.26, 95% CI: 1.25-1.27; OR = 0.79, 95% CI: 0.78-0.80; and OR = 0.80, 95% CI: 0.78-0.82, respectively). All associations were in comparison to paternal non-Hispanic white race and ethnicity.

CONCLUSION

Paternal race and ethnicity has an independent association with adverse obstetric outcomes. The pathway and the extent of the paternal racial influence are not fully understood and deserve additional research.

Extremely and Very Preterm Deliveries in a Maternity Unit of Inappropriate Level: Analysis of Socio-Residential Factors

PURPOSE

To analyze the socio-residential factors associated with extremely and very preterm deliveries occurring in non-level 3 maternity units in France.

MATERIALS AND METHODS

This is a population-based observational retrospective study using national hospital data from 2012 to 2014. A generalized estimating equations regression model was used to study the characteristics of women who delivered very preterm and the socio-residential risk factors for not delivering in a level 3 maternity unit at 24-31+6d weeks of gestation.

RESULTS

Among deliveries resulting in live births and without contraindication to in-utero transfer, we identified 9198 extremely or very preterm deliveries; 2122 (23.1%) of these were managed in a non-level 3 unit. Our study showed that young maternal age (women under 20 years at delivery) was associated with the risk of giving birth prematurely in a non-level 3 maternity, and particularly in a level 1 maternity unit (adjusted relative risk, 1.53; 95% CI 1.09-2.16). Living more than 30 minutes away from the closest level 3 unit increased the risk of delivering very preterm in a level 1 or 2 unit. Living in an urban area or urban periphery increased the risk of giving birth in a level 2 maternity unit (adjusted relative risk, 1.53; 95% CI 1.28-1.83 and 1.42; 95% CI 1.17-1.71, respectively).

CONCLUSION

This study shows that young pregnant women living more than 30 minutes from a level 3 hospital have an increased risk of delivering in a maternity unit that is not equipped to deal with premature births. The risk also increases with an urban place of residence when the delivery occurs in a level 2 unit. A clearer understanding of the population at risk of delivering prematurely in a non-level 3 maternity could lead to improvements in structuring healthcare to encourage earlier management and better support.

Parity and the risks of adverse birth outcomes: a retrospective study among Chinese

Background

Nulliparity is considered to be a risk factor of preterm birth (PTB), low birth weight (LBW) and small for gestational age (SGA). With the new two-child policy launched in 2016, more Chinese women have delivered their 2nd baby. Yet few studies have assessed the impact of parity on adverse birth outcomes in China. This study aimed to examine the association between parity and risks of PTB, LBW and SGA in a Chinese population. The combined effects of maternal age and parity on adverse birth outcomes were also assessed.

Methods

This retrospective study included all non-malformed live births born during January 1, 2014 and December 31, 2018 in Chengdu, China. A total of 746,410 eligible live singletons with complete information were included in the analysis. Parity was classified into nulliparity (i.e. has never delivered a newborn before) and multiparity (i.e. has delivered at least one newborn before). Log-binomial regression analyses were applied to evaluate the association between parity and PTB, LBW and SGA. We further divided maternal age into different groups (< 25 years, 25–29 years, 30–34 years and ≥ 35 years) to assess the combined effects of maternal age and parity on adverse birth outcomes.

Results

Multiparity was associated with reduced risks of PTB (aRR = 0.91, 95% CI: 0.89–0.93), LBW (aRR = 0.74, 95% CI: 0.72–0.77) and SGA (aRR = 0.67, 95% CI: 0.66–0.69) compared with nulliparity. In each age group, we observed that multiparity was associated with lower risks of adverse birth outcomes. Compared to nulliparous women aged between 25 and 29 years, women aged ≥35 years had greater risks of PTB and LBW, regardless of their parity status. In contrast, multiparous women aged ≥35 years (aRR = 0.73, 95% CI: 0.70–0.77) and those aged < 25 years (aRR = 0.88, 95% CI: 0.84–0.93) were at lower risk of SGA compared with nulliparous women aged between 25 and 29 years.

Conclusion

Multiparity was associated with lower risks of all adverse birth outcomes. Special attention should be paid to nulliparous mothers and those with advanced age during antenatal care, in order to reduce the risks of adverse birth outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-03718-4.

Paternal factors and adverse birth outcomes in Lanzhou, China

BACKGROUND

Many maternal factors are known to be associated with adverse birth outcomes, but studies about paternal factors yielded inconsistent conclusions. The study was to assess whether paternal factors are associated with low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA).

METHODS

A birth cohort study was conducted in 2010-2012 at the Gansu Provincial Maternity and Child Care Hospital, the largest maternity and childcare hospital in Lanzhou, China. Paternal age, ethnicity, educational level, height, weight, smoking, and drinking were collected. Birth outcomes and pregnancy complications were extracted from the medical records.

RESULTS

During the study period, 10,121 participants were included; the overall prevalence of LBW, PTB, and SGA was 7.2, 9.9, and 7.8%, respectively. Paternal higher height (OR = 0.64 95%CI: 0.49, 0.83), higher weight (P for trend < 0.001), and higher BMI (P for trend < 0.001) could decrease the rate of LBW. Paternal higher education (OR = 0.55, 95%CI: 0.43, 0.71) and higher weight (P for trend < 0.001,) were associated with lower rate of PTB. Fathers who smoked more than 6 pack-years were associated with PTB (OR = 1.31, 95%CI: 1.07, 1.61). Paternal BMI > 23.9 kg/m2 (P for trend < 0.001,) and paternal education which above college (OR = 0.61, 95%CI: 0.50, 0.82) were associated with a lower rate of SGA.

CONCLUSION

Paternal low education is independently associated with PTB and SGA. Paternal heavy smoking is associated with PTB. Low paternal weight/BMI is independently associated with LBW, PTB, and SGA.

Novel sex-specific influence of parental factors on small-for-gestational-age newborns

Since fetal programming is sex-specific, there may also be sex-specific in parental influences on newborn birth weight. We aimed to investigate the influence of parental factors on small-for-gestational-age (SGA) infants of different sexes. Based on a pre-pregnancy cohort, multivariate logistic regression was used. 2275 couples were included for analysis. Significant associations were observed among paternal height, pre-pregnancy body mass index (BMI), and SGA in male infants; among maternal height, pre-pregnancy BMI, and SGA in female infants, and among other maternal factors and SGA in both male and female infants. Such sex specificity may be related to genetic, epigenetic, or hormonal influences between parents and infants. In conclusion, there is a sex specificity in the effect of parental height and pre-pregnancy BMI on SGA. The data suggest that future studies on infants should consider the sex-specific differences between the effects of genetic or environmental factors and infants.

Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania

OBJECTIVE

We aimed to determine the key predictors of perinatal deaths using machine learning models compared with the logistic regression model.

DESIGN

A secondary data analysis using the Kilimanjaro Christian Medical Centre (KCMC) Medical Birth Registry cohort from 2000 to 2015. We assessed the discriminative ability of models using the area under the receiver operating characteristics curve (AUC) and the net benefit using decision curve analysis.

SETTING

The KCMC is a zonal referral hospital located in Moshi Municipality, Kilimanjaro region, Northern Tanzania. The Medical Birth Registry is within the hospital grounds at the Reproductive and Child Health Centre.

PARTICIPANTS

Singleton deliveries (n=42 319) with complete records from 2000 to 2015.

PRIMARY OUTCOME MEASURES

Perinatal death (composite of stillbirths and early neonatal deaths). These outcomes were only captured before mothers were discharged from the hospital.

RESULTS

The proportion of perinatal deaths was 3.7%. There were no statistically significant differences in the predictive performance of four machine learning models except for bagging, which had a significantly lower performance (AUC 0.76, 95% CI 0.74 to 0.79, p=0.006) compared with the logistic regression model (AUC 0.78, 95% CI 0.76 to 0.81). However, in the decision curve analysis, the machine learning models had a higher net benefit (ie, the correct classification of perinatal deaths considering a trade-off between false-negatives and false-positives)-over the logistic regression model across a range of threshold probability values.

CONCLUSIONS

In this cohort, there was no significant difference in the prediction of perinatal deaths between machine learning and logistic regression models, except for bagging. The machine learning models had a higher net benefit, as its predictive ability of perinatal death was considerably superior over the logistic regression model. The machine learning models, as demonstrated by our study, can be used to improve the prediction of perinatal deaths and triage for women at risk.

Diet and Transgenerational Epigenetic Inheritance of Breast Cancer: The Role of the Paternal Germline

The past decade has made evident that in addition to passing their genetic material at conception, parents also transmit a molecular memory of past environmental experiences, including nutritional status, to their progeny through epigenetic mechanisms. In the 1990s, it was proposed that breast cancer originates in utero. Since then, an overwhelming number of studies in human cohorts and animal models have provided support for that hypothesis. It is becoming clear, however, that exposure in the parent generation can lead to multigenerational and transgenerational inheritance of breast cancer. Importantly, recent data from our lab and others show that pre-conception paternal diets reprogram the male germline and modulate breast cancer development in offspring. This review explores the emerging evidence for transgenerational epigenetic inheritance of breast cancer focusing on studies associated with ancestral nutritional factors or related markers such as birth weight. We also explore paternal factors and the epigenetic mechanisms of inheritance through the male germline while also reviewing the existing literature on maternal exposures in pregnancy and its effects on subsequent generations. Finally, we discuss the importance of this mode of inheritance in the context of breast cancer prevention, the challenges, and outstanding research questions in the field.

Got daddy issues? Fathers impact on perinatal outcomes

Mothers' genetics as well as their environment, behaviors, and social determinants of health are all important factors influencing short and long term childhood outcomes. There is an emerging body of literature investigating the extent to which fathers also contribute to their offspring's future health. We review fathers' impact on short term birth outcomes, longer term health, and neurodevelopment to emphasize the inter-relatedness of individual paternal traits. Factors that are linked to offspring outcomes include paternal demographics, race, stress, marriage and support, mental health, and the baseline health and behaviors of fathers. Several methodologic issues exist in current research such as maternal report of paternal information. Mechanisms proposed regarding paternal effect on progeny health range from genetic to reduction of stress of mothers through support. These are varied, possibly inter-related, and difficult to isolate as a single etiology. Future initiatives need to support fathers to allow them to support their families.

Paternal age is affected by genetic abnormalities, perinatal complications and mental health of the offspring

Infertility and fecundity problems concern 10-18% of partners in their reproductive years compromising around one million females and males in Poland. Research and analysis of factors that affect male fertility are limited, especially, regarding the age of the father and determining the age at which quality of semen decreases. Age of the father has greater impact than maternal age, on cases of sporadic autosomal dominant congenital diseases such as Apert, Crouzon, Pfeiffer, Noonan and Costello syndromes, multiple endocrine neoplasia (types 2A and 2B) and achondroplasia. However, there are only a few reports taking paternal advanced age into consideration for pre-mature birth, low Apgar scores or admission to a neonatal intensive care department. Paternal age increases the frequency of congenital diseases such as heart malformations as well as oral, palate and lip cleft. Moreover, mental disorders (autism, schizophrenia, bipolar disorder, low IQ level as well as ADHD) also occur more frequently in advanced father's age. Advanced paternal age is defined differently in every research. It depends on disorders in offspring we are talking about. Paternal age has an impact on child's health and development and it is as significant as maternal age, when it comes to reproductive matters.

Paternal Environmental Toxicant Exposure and Risk of Adverse Pregnancy Outcomes

Purpose of Review

Current clinical efforts to predict and prevent preterm birth are primarily focused on the mother and have made minimal progress in improving outcomes. However, recent data indicate that paternal factors can also influence timing of birth. Herein, we will review recent human and murine data examining the contribution of the father to pregnancy outcomes with an emphasis on environmental exposures that can negatively impact fertility and the timing of birth.

Recent Findings

Human epidemiology studies now clearly indicate that a variety of paternal factors (age, race, weight, smoking status) can influence sperm quality, birth timing and, in some studies, offspring health. Utilizing a mouse model, our data have 57demonstrated that developmental exposure to the environmental toxicant TCDD (2,3,7,8-tetrachlorodibenzo-p-dioxin) is associated with a transgenerational reduction in sperm number and quality and an increased risk of preterm birth in an unexposed partner.

Summary

Toxicant exposure history can clearly influence sperm quality in men and mice. Murine data further indicate that exposures which negatively affect sperm quality also impair placental function, potentially leading to preterm birth and other adverse outcomes. Of particular concern, these changes have been linked to epigenetic alterations within the male germ cell which can then be transmitted across multiple generations. Since it is not possible to prevent an ancestral toxicant exposure in a human population, identifying lifestyle modifications that can be implemented during the preconception period to improve sperm quality should be explored for the therapeutic potential to reduce the incidence of PTB and its sequelae.

Comparison of pregnancy outcome between immigrant women in couples with same ethnicity to mixed ethnicity couples

Aim: To compare the pregnancy outcome of immigrant women who became pregnant to the same ethnicity partner versus a partner from a different ethnicity.Methods: A retrospective cohort study on all singleton pregnancies of immigrant women who delivered between the years 2011-2015 in a single tertiary University Affiliated Hospital. Demographic and obstetrical data were collected. Same ethnicity couples and mixed couples were compared using the Pearson chi-square test for dichotomous variables, and Student's T-test for normally distributed continuous variables.Results: Overall, 443 immigrant women delivered during the study period, of them, 294 (66.37%) had the same ethnicity spouse and 149 (33.63%) were part of a mixed couple. Women of same ethnicity couples were significantly younger (32.7 versus 35.05 years, p < .0001) and more likely to be nulliparous (48 versus 32%, p = .001), compared to women of mixed couples. The rate of episiotomy was significantly higher among women with the same ethnicity spouse in comparison to women of mixed couples (37.22 versus 23.85%, p = .01). There was no significant difference in all other obstetrical or perinatal outcomes tested.Conclusions: Maternal component is the main factor for perinatal outcomes among immigrant mothers.

Pregnancy course, infant outcomes, rehospitalization, and mortality among women with intellectual disability

BACKGROUND

Pregnant women with intellectual disability (ID) may have greater levels of comorbidity and decreased care access, social support, or ability to monitor their status and communicate needs, but few studies have examined their pregnancy course and outcome, and little is known about their longer-term maternal and infant health.

OBJECTIVE

We compared pre-pregnancy characteristics, pregnancy outcomes, and rehospitalization <2 years after delivery among women with and without ID.

METHOD

We identified all women with ID and randomly selected a 10:1 comparison group of women without ID with singleton live birth deliveries in Washington State population-based linked birth-hospital discharge data 1987-2012. Multivariable regressions estimated adjusted odds ratios comparing pre-pregnancy characteristics. In cohort analyses, we estimated relative risks (RR) and 95% confidence intervals (CI) for outcomes.

RESULTS

Women with ID (N = 103) more often had gestational diabetes (RR 3.39, 95% CI 1.81-6.37), preeclampsia (RR 1.88, 95% CI 1.03-3.42), and inadequate prenatal care (RR 2.48, 95% CI 1.67-3.70). Their infants more often were small for gestational age (RR 1.78, 95% CI 1.10-2.89). Need for rehospitalization postpartum was not increased among women with ID or their infants.

CONCLUSION

Reasons for increased preeclampsia and gestational diabetes among pregnant women with ID are unclear. Barriers to inadequate prenatal care are multifactorial and warrant further study, with consideration that wellness during pregnancy and other times involves social, familial and clinical support systems responsive to each woman's needs.

Survey of Maternal, Child and Family Health Nurses' attitudes and practice relating to preconception health promotion

Environmental factors including poor nutrition, obesity, smoking, exposure to toxins and drug and alcohol use at the time of conception can adversely affect the future health of the offspring. As primary health care (PHC) professionals who interact with women of reproductive age, Maternal, Child and Family Health Nurses (MCaFHNs) are ideally placed to promote preconception health to women who want another child. The aim of this study was to assess MCaFHNs attitudes towards preconception health promotion, whether and under what circumstances they talk to their families about this, and what might help them start a conversation about preconception health. Of the 192 respondents, most (65%) agreed it is part of the MCaFHNs role to promote preconception health but only one in eight (13%) felt very confident that they knew as much as they needed and less than half (46%) ‘routinely’ or ‘sometimes’ promoted preconception health in their clinical practice. Almost all agreed that more information and education on the topic would increase their confidence to discuss preconception health. The findings suggest that, with adequate educational and structural support, most MCaFHNs are willing to deliver preconception health promotion in their clinical practice. As most new mothers access MCaFHNs, the potential health benefits of this are considerable.

Parental age and stillbirth: a population-based cohort of nearly 10 million California deliveries from 1991 to 2011

PURPOSE

Parental age at delivery in the United States has been rising. Advanced maternal and paternal ages have been associated with adverse pregnancy outcomes including stillbirth. However, these relationships come from studies that often do not present results for both mother and father concurrently. The purpose of this study was to estimate the risk of stillbirth for maternal and paternal age in the same cohort of deliveries.

METHODS

This is a population-based cohort study of all live birth and stillbirth deliveries in California from 1991 to 2011. The individual associations between maternal and paternal ages and stillbirth were estimated with hazard ratios from Cox proportional hazard models. Age was modeled continuously with restricted cubic splines to account for nonlinear relationships. Mean parental age was used as the referent group.

RESULTS

J-shaped associations between maternal and paternal ages were observed in crude models where older mothers and fathers had the highest hazard ratios for stillbirth. In maternal models, after adjusting for maternal and paternal covariates, young maternal age no longer showed increased hazard ratio for stillbirth, whereas the association with older mothers remained. In adjusted paternal models, the relationship between young paternal age and stillbirth was unchanged while the hazard ratio for older fathers was slightly smaller.

CONCLUSIONS

After adjusting for both parents' age, education, race/ethnicity, along with parity, older mothers and fathers were independently associated with elevated hazard ratios for stillbirth.