Prenatal Maternal Depression and Neonatal Immune Responses

Joint effects of prenatal exposure to indoor air pollution and psychosocial factors on early life inflammation

It is hypothesized that air pollution and stress impact the central nervous system through neuroinflammatory pathways Despite this, the association between prenatal exposure to indoor air pollution and psychosocial factors on inflammatory markers in infancy has been underexplored in epidemiology studies. This study investigates the individual and joint effects of prenatal exposure to indoor air pollution and psychosocial factors on early life inflammation (interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α)). We analyzed data from the South African Drakenstein Child Health Study (N = 225). Indoor air pollution and psychosocial factor measurements were taken in the 2nd trimester of pregnancy. Circulating inflammatory markers (IL-1β, Il-6, and TNF-α) were measured in serum in the infants at 6 weeks postnatal. Linear regression models were used to investigate associations between individual exposures and inflammatory markers. To investigate joint effects of environmental and psychosocial factors, Self-Organizing Maps (SOM) were used to create exposure profile clusters. These clusters were added to linear regression models to investigate the associations between exposure profiles and inflammatory markers. All models were adjusted for maternal age, maternal HIV status, and ancestry to control for confounding. Most indoor air pollutants were positively associated with inflammatory markers, particularly benzene and TNF-α in single pollutant models. No consistent patterns were found for psychosocial factors in single-exposure linear regression models. In joint effects analyses, the SOM profile with high indoor air pollution, low SES, and high maternal depressive symptoms were associated with higher inflammation. Indoor air pollutants were consistently associated with increased inflammation in both individual and joint effects models, particularly in combination with low SES and maternal depressive symptoms. The trend for individual psychosocial factors was not as clear, with mainly null associations. As we have observed pro- and anti-inflammatory effects, future research should investigate joint effects of these exposures on inflammation and their health effects.

Distorted correlations among censored data: causes, effects, and correction

Data censoring occurs when researchers do not know precise values of data points (e.g., age is 55+ or concentration ≤ .001). Censoring is frequent within psychology but typically unrecognized outside of longitudinal studies. We describe five circumstances when censoring may occur, demonstrate censoring distorts correlations, and discuss how censoring can create spurious factors. Next, we explain how to use R package lava to calculate maximum likelihood estimates (Holst and Budtz-Jørgensen Computational Statistics, 28(4), 1385-1452, 2013) of correlations between uncensored variables based upon censored variables. Previous research demonstrated these estimates were more accurate than Muthén's (1984) estimate for one particular model, but no research has systematically examined their accuracy. We therefore conducted a simulation study exploring the effects of the correlation, sample size, and censoring on point and interval estimates of correlations. Based upon 80 cells in which low values of normally distributed variables were censored, we recommend the constrained regression model with Wald confidence intervals. These methods were precise and unbiased unless both variables had 70% censoring and the correlation was large and negative (e.g., -.9), in which case estimates were closer to -1 than they should be. Opposite results would occur if low values of one variable and high values of the other were censored: Estimates would be precise and unbiased unless censoring was extreme and correlations were large and positive. To estimate large correlations accurately, we recommend researchers reduce censoring by using longer longitudinal studies, using scales with more response options, and matching measures to populations to reduce floor and ceiling effects.

Household food insecurity is associated with obesogenic health behaviours among a low-income cohort of pregnant women in Boston, MA

OBJECTIVE

To examine associations of household food insecurity with health and obesogenic behaviours among pregnant women enrolled in an obesity prevention programme in the greater Boston area.

DESIGN

Cross-sectional evaluation. Data were collected from structured questionnaires that included a validated two-item screener to assess household food insecurity. We used separate multivariable linear and logistic regression models to quantify the association between household food insecurity and maternal health behaviours (daily consumption of fruits and vegetables, sugar-sweetened beverages and fast food, physical activity, screen time, and sleep), mental health outcomes (depression and stress), hyperglycaemia status and gestational weight gain.

SETTING

Three community health centres that primarily serve low-income and racial/ethnic minority patients in Revere, Chelsea and Dorchester, Massachusetts.

PARTICIPANTS

Totally, 858 pregnant women participating in the First 1,000 Days program, a quasi-experimental trial.

RESULTS

Approximately 21 % of women reported household food insecurity. In adjusted analysis, household food insecurity was associated with low fruit and vegetable intake (β = -0·31 daily servings; 95 % CI -0·52, -0·10), more screen time (β = 0·32 daily hours; 95 % CI 0·04, 0·61), less sleep (β = -0·32 daily hours; 95 % CI -0·63, -0·01), and greater odds of current (adjusted odds ratio (AOR) 4·42; 95 % CI 2·33, 8·35) or past depression (AOR 3·01; 95 % CI 2·08, 4·35), and high stress (AOR 2·91; 95 % CI 1·98, 4·28).

CONCLUSIONS

In our sample of mostly low-income, racial/ethnic minority pregnant women, household food insecurity was associated with mental health and behaviours known to increase the likelihood of obesity.

Symptoms of maternal psychological distress during pregnancy: sex-specific effects for neonatal morbidity

OBJECTIVES

Maternal psychological distress during pregnancy has been associated with preterm birth. However, little is known about the relationship of a woman's psychological symptoms during pregnancy to the infant's morbidity at birth or any differential effects of these symptoms on female vs. male fetuses. Our research aims addressed these gaps.

METHODS

A total of 186 women were enrolled between 24 and 34 weeks gestation when demographic information was acquired and they completed the Brief Symptom Inventory to measure psychological distress. Data on gestational age at birth, fetal sex, and neonatal morbidity was extracted from the medical record. To control for their effects, obstetric complications were also identified. Multiple linear regressions were computed to examine the aims, including interaction terms to measure moderating effects of fetal sex.

RESULTS

Symptoms of maternal psychological distress were a significant predictor of neonatal morbidity but were not associated with gestational age. The interaction between symptom distress and fetal/infant sex was also significant for neonatal morbidity but not for gestational age. For boys, high levels of maternal symptom distress during pregnancy were associated with neonatal resuscitation, ventilatory assistance, and infection. Maternal distress was not associated with neonatal morbidity for girls.

CONCLUSIONS

The male fetus may be more sensitive to effects of mothers' psychological symptoms than the female fetus. Further research is needed to confirm our findings and identify potential biological mechanisms that may be responsible for these sex differences. Findings suggest the importance of symptom screening and early intervention to reduce maternal distress and risk of neonatal morbidity.

Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?

OBJECTIVES

Early detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-resourced, high-risk communities of Hillsborough County.

METHODS

Data from HS participants were included for those who were evaluated using the HSPRS and the Edinburgh Postnatal Depression Scale (EPDS). A correlation analysis determined if the HSPRS score was associated with a positive EPDS screen, and HSPRS questions related to the participants psychosocial environment were assessed individually to determine their predictive potential. The crude odds ratio (OR) and adjusted OR (controlling for sociodemographic covariates) were calculated for each question of interest.

RESULTS

A total of 736 women were included, with 122 (16.5%) scoring 14 or greater on the EPDS, indicating probable depression risk. There were significant differences between women at risk for depression compared to those not at risk regarding maternal age (p-value = 0.03) and marital status (p-value = 0.01). There were no significant differences in education, ethnicity, or race. The total HSPRS score had a weak yet significant correlation with the EPDS score (r = 0.14, p-value = 0.0001), and seven individual HSPRS questions were significantly associated with risk for perinatal depression. Conclusions for Practice: By focusing on responses to key HSPRS questions rather than the overall score, women may receive access to much needed services more quickly, thereby reducing the risk for poorer maternal and developmental outcomes.

SIGNIFICANCE

A young maternal age and single marital status have been identified as risk factors for perinatal depression. Additionally, women from racial/ethnic minority groups or low-income populations are more likely to experience depression. Thus, in communities where women exhibit many pre-identified risk factors for perinatal depression, the ability to quickly identify those at the highest risk is imperative. This work indicates that among medically and socially high-risk mothers enrolled in a HS program, the overall HSPRS score was not as predictive of perinatal depression as individual responses to key questions. Attention to these responses could result in women receiving much needed services quicker.

Quality of Life of Children with Allergic Disease: The effect of Depression and Anxiety of Children and Their Mothers

Introduction: In comparison with the general population, several studies have reported higher anxiety and depression rates not only in children with allergic diseases but also in their parents. We aimed to evaluate the mental health of children and their mothers affecting quality of life (QoL) in children with allergic diseases, and to compare anxiety and depression in these patients and their parents with the general population.Methods: One hundred and sixty-eight patients aged 8-18 years diagnosed with an allergic disease who visited our outpatient clinic and a control group of 61 children who did not have any chronic or allergic diseases were included in the study. Patients completed the Pediatric QoL Inventory, Trait Anxiety Inventory for Children, and Children's Depression Inventory, while mothers completed the General Anxiety Disorder-7 (GAD-7) scale and the Patient Health Questionnaire-9 (PHQ-9). Independent samples' t-test was used to compare children's QoL, trait anxiety, and depression scores and mothers' GAD-7 and PHQ-9 scores between the controlled/mild and uncontrolled/moderate-severe groups. The effects of age, gender, disease severity, maternal depression/anxiety, and children's depression/anxiety on QoL were analyzed with multivariate regression analyses.Results: QoL was lower in children with allergic diseases than healthy children, and although the mean QoL score was lower in the group with high disease severity, QoL in children with allergic diseases was not associated with disease severity but inversely related to anxiety/depression and maternal depression.Conclusions: As per the results, QoL is impaired in children with allergic diseases. Both anxiety/depression in the child and maternal depression may adversely affect QoL in these patients.

Neglecting Maternal Depression Compromises Child Health and Development Outcomes, and Violates Children's Rights in South Africa

The intention of the South African Children’s Act 38 of 2005 is to provide guarantees for the protection and promotion of optimum health and social outcomes for all children. These guarantees are the provision of basic nutrition, basic health care and social services, optimal family or parental care, as well as protection from maltreatment, neglect and abuse services. However, despite these guarantees, child and maternal mortality remain high in South Africa. The literature identifies maternal depression as a common factor that contributes to negative health and social outcomes for both mothers and their children. Despite the availability of easy-to-use tools, routine screening for maternal depression is not carried out in public health services, which is the source of services for the majority of women in South Africa. The results are that the mothers miss out on being diagnosed and treated for maternal depression, which results in negative child outcomes, such as malnutrition, as well as impacts on mental, social and physical health, and even death. The long-term impacts of untreated maternal depression include compromised child cognitive development, language acquisition and deviant behaviors and economic disadvantage in later life. The author concludes that the neglect of screening for, and treatment of maternal depression therefore violates the constitutional rights of the affected children, and goes against the spirit of the Constitution. The author recommends that maternal and child health services integrate routine screening for maternal depression, which will not only satisfy the Constitutional mandate, but also improve the health and developmental outcomes of the children and reduce child mortality.

Air Pollution, Neonatal Immune Responses, and Potential Joint Effects of Maternal Depression

Prenatal maternal exposure to air pollution may cause adverse health effects in offspring, potentially through altered immune responses. Maternal psychosocial distress can also alter immune function and may increase gestational vulnerability to air pollution exposure. We investigated whether prenatal exposure to air pollution is associated with altered immune responses in cord blood mononuclear cells (CBMCs) and potential modification by maternal depression in 463 women recruited in early pregnancy (1999-2001) into the Project Viva longitudinal cohort. We estimated black carbon (BC), fine particulate matter (PM2.5), residential proximity to major roadways, and near-residence traffic density, averaged over pregnancy. Women reported depressive symptoms in mid-pregnancy (Edinburgh Postnatal Depression Scale) and depression history by questionnaire. Immune responses were assayed by concentrations of three cytokines (IL-6, IL-10, and TNF-α), in unstimulated or stimulated (phytohemagglutinin (PHA), cockroach extract (Bla g 2), house dust mite extract (Der f 1)) CBMCs. Using multivariable linear or Tobit regression analyses, we found that CBMCs production of IL-6, TNF-a, and IL-10 were all lower in mothers exposed to higher levels of PM2.5 during pregnancy. A suggestive but not statistically significant pattern of lower cord blood cytokine concentrations from ever (versus never) depressed women exposed to PM2.5, BC, or traffic was also observed and warrants further study.

Maternal distress across the postnatal period is associated with infant secretory immunoglobulin A

Employing a longitudinal design, relationships between maternal distress (i.e., perceived stress, negative affect, depressive symptomology), and infant secretory immunoglobulin A (sIgA) across the peripartum period were examined in 51 mother-infant dyads. Indices of maternal distress were assessed at four time periods: third trimester of pregnancy and 1, 3, and 6 months postpartum. Infant saliva samples were collected at each of the three time points in the postpartum period to assess sIgA levels. No relationships were found between prenatal maternal distress and infant sIgA. Results indicated that during the postnatal period, higher concurrent maternal distress was associated with reduced infant sIgA. Maternal distress did not prospectively predict infant sIgA. These findings advance our understanding of the social-context of infant development, highlighting the significance of maternal regulation of infant immunity.