Adverse Childhood Experiences Predict Diurnal Cortisol Throughout Gestation.

OBJECTIVE: Adverse childhood experiences (ACEs) are associated with negative prenatal and perinatal health outcomes and may, via these pathways, have intergenerational effects on child health and development. We examine the impact of ACEs on maternal salivary cortisol, a key measure of prenatal biology previously linked with pregnancy-related health outcomes. METHODS: Leveraging assessments across three trimesters, we used linear mixed-effects models to analyze the influence of ACEs on maternal prenatal diurnal cortisol patterns in a diverse cohort of pregnant women (analytic sample, n = 207). Covariates included comorbid prenatal depression, psychiatric medications, and sociodemographic factors. RESULTS: Maternal ACEs were significantly associated with flatter diurnal cortisol slopes (i.e., less steep decline), after adjusting for covariates, with effects consistent across gestation (estimate = 0.15, standard error = 0.06, p = .008). CONCLUSIONS: ACEs experienced before pregnancy may have a robust and lasting influence on maternal prenatal hypothalamic-pituitary-adrenal activity throughout gestation, a key biological marker associated with perinatal and child health outcomes. The findings suggest one route of intergenerational transmission of early adverse experiences and underscore the potential value of assessing prepregnancy adverse experiences for promoting perinatal and maternal and child health.

Prenatal diurnal cortisol: Normative patterns and associations with affective symptoms and stress.

The hypothalamic-pituitary-adrenal (HPA) axis in pregnancy has attracted considerable research attention, in part, because it may be a mechanism by which diverse prenatal exposures alter perinatal and child health outcomes. Symptoms of affective disturbance and stress are among the most-studied prenatal factors associated with HPA axis alterations, but there remains uncertainty about the nature of the association because of the limitations to, and variability in, data collection and analytic approaches. The current study capitalized on a prospective, longitudinal pregnancy cohort that examined salivary diurnal cortisol, collected at 5 time points across the day, at each trimester in a diverse sample of women. Detailed data on affective symptoms and major life events were collected at each trimester, as were data on health behaviors, medication, and socio-demographics. Results indicated modest stability of individual differences in diurnal cortisol across pregnancy, which was evident for diurnal slope (ICC = .20) and measures of total output (area under the curve, ICC = .25); substantial gestation-related increases in total cortisol output across pregnancy was also observed (p < .001). Adjusting for health behaviors, medication, and socio-demographic covariates, elevated levels of depressive symptoms and major life events were significantly (p < .05) associated with a higher morning awakening value and flatter diurnal slope, which was evident across all trimesters. In addition to the normative gestation-related changes in cortisol production, our results demonstrate selective but robust associations between psychological symptoms, stressors, and the HPA axis across gestation, and suggest both methodological and mechanistic strategies for future study.

The Biopsychosocial Model and Perinatal Health Care: Determinants of Perinatal Care in a Community Sample.

Insufficient care in the perinatal period is associated with poorer maternal health, poorer perinatal outcomes, infant mortality, and health inequalities. Identifying the sources of and reducing the rates of insufficient care is therefore a major clinical and public health objective. We propose a specific application of the biopsychosocial model that conceptualizes prenatal and postpartum care quality as health markers that are influenced by psychological factors and family and social context. Clinic attendance data were abstracted from the electronic medical records of N = 291 participants enrolled in a longitudinal pregnancy cohort study of healthy women who have been followed since the first trimester; the Kotelchuck Index (KI) was calculated as an index of perinatal care utilization. Detailed prenatal psychological, social, and sociodemographic data were collected from self-report questionnaire and interview. Bivariate analyses indicated socio-demographic (e.g., race), psychological (e.g., response to perceived racism, affective symptoms, trauma experience), and social and family context (e.g., social support, family size) significantly influenced pre- and post-natal care utilization. Multivariate logistic regression analyses, adjusting for medical complications, identified social and family context as robust predictors of perinatal care utilization. The findings underscore the need for biopsychosocial models of health care and highlight several potential strategies for improving health care utilization.

Cohort profile: Understanding Pregnancy Signals and Infant Development (UPSIDE): a pregnancy cohort study on prenatal exposure mechanisms for child health.

PURPOSE: Extensive research suggests that maternal prenatal distress is reliably related to perinatal and child health outcomes-which may persist into adulthood. However, basic questions remain regarding mechanisms involved. To better understand these mechanisms, we developed the Understanding Pregnancy Signals and Infant Development (UPSIDE) cohort study, which has several distinguishing features, including repeated assessments across trimesters, analysis of multiple biological pathways of interest, and incorporation of placental structure and function as mediators of child health outcomes. PARTICIPANTS: Women with normal risk pregnancies were recruited at <14 weeks gestation. Study visits occurred in each trimester and included extensive psychological, sociodemographic, health behaviour and biospecimen collection. Placenta and cord blood were collected at birth. Child visits (ongoing) occur at birth and 1, 6, 12, 24, 36 and 48 months of age and use standard anthropometric, clinical, behavioural, biological and neuroimaging methods to assess child physical and neurodevelopment. FINDINGS TO DATE: We recruited 326 pregnancies; 294 (90%) were retained through birth. Success rates for prenatal biospecimen collection were high across all trimesters (96%-99% for blood, 94%-97% for urine, 96%-99% for saliva, 96% of placentas, 88% for cord blood and 93% for buccal swab). Ninety-four per cent of eligible babies (n=277) participated in a birth examination; postnatal visits are ongoing. FUTURE PLANS: The current phase of the study follows children through age 4 to examine child neurodevelopment and physical development. In addition, the cohort participates in the National Institutes of Health's Environmental influences on Child Health Outcomes programme, a national study of 50 000 families examining early environmental influences on perinatal outcomes, neurodevelopment, obesity and airway disease. Future research will leverage the rich repository of biological samples and clinical data to expand research on the mechanisms of child health outcomes in relation to environmental chemical exposures, genetics and the microbiome.