Douglas P. Jutte

Family Socioeconomic Status and Child Executive Functions: The Roles of Language, Home Environment, and Single Parenthood

The association between family socioeconomic status (SES) and child executive functions is well-documented. However, few studies have examined the role of potential mediators and moderators. We studied the independent and interactive associations between family SES and single parenthood to predict child executive functions of inhibitory control, cognitive flexibility, and working memory and examined child expressive language abilities and family home environment as potential mediators of these associations. Sixty families from diverse SES backgrounds with a school-age target child (mean [SD] age = 9.9 [0.96] years) were evaluated. Child executive functioning was measured using a brief battery. The quality of the home environment was evaluated using the Home Observation for the Measurement of the Environment inventory. Family SES predicted the three child executive functions under study. Single parent and family SES were interactively associated with childrens inhibitory control and cognitive flexibility; such that children from low SES families who were living with one parent performed less well on executive function tests than children from similarly low SES who were living with two parents. Parental responsivity, enrichment activities and family companionship mediated the association between family SES and child inhibitory control and working memory. This study demonstrates that family SES inequalities are associated with inequalities in home environments and with inequalities in child executive functions. The impact of these disparities as they unfold in the lives of typically developing children merits further investigation and understanding.

Administrative Record Linkage as a Tool for Public Health Research

Linked administrative databases offer a powerful resource for studying important public health issues. Methods developed and implemented in several jurisdictions across the globe have achieved high-quality linkages for conducting health and social research without compromising confidentiality. Key data available for linkage include health services utilization, population registries, place of residence, family ties, educational outcomes, and use of social services. Linking events for large populations of individuals across disparate sources and over time permits a range of research possibilities, including the capacity to study low-prevalence exposure-disease associations, multiple outcome domains within the same cohort of individuals, service utilization and chronic disease patterns, and life course and transgenerational transmission of health. Limited information on variables such as individual-level socioeconomic status (SES) and social supports is outweighed by strengths that include comprehensive follow-up, continuous data collection, objective measures, and relatively low expense. Ever advancing methodologies and data holdings guarantee that research using linked administrative databases will make increasingly important contributions to public health research.

The Impact of Social Disparity on Prefrontal Function in Childhood

The prefrontal cortex (PFC) develops from birth through late adolescence. This extended developmental trajectory provides many opportunities for experience to shape the structure and function of the PFC. To date, a few studies have reported links between parental socioeconomic status (SES) and prefrontal function in childhood, raising the possibility that aspects of environment associated with SES impact prefrontal function. Considering that behavioral measures of prefrontal function are associated with learning across multiple domains, this is an important area of investigation. In this study, we used fMRI to replicate previous findings, demonstrating an association between parental SES and PFC function during childhood. In addition, we present two hypothetical mechanisms by which SES could come to affect PFC function of this association: language environment and stress reactivity. We measured language use in the home environment and change in salivary cortisol before and after fMRI scanning. Complexity of family language, but not the childs own language use, was associated with both parental SES and PFC activation. Change in salivary cortisol was also associated with both SES and PFC activation. These observed associations emphasize the importance of both enrichment and adversity-reduction interventions in creating good developmental environments for all children.

The Ripples of Adolescent Motherhood: Social, Educational, and Medical Outcomes for Children of Teen and Prior Teen Mothers

OBJECTIVE We examined medical, educational and social risks to children of teen mothers and children of nonadolescent mothers with a history of teen birth (prior teen mothers) and considered these risks at both the individual and societal level. METHODS A population-based, retrospective cohort study tracked outcomes through young adulthood for children born in Manitoba, Canada (n = 32 179). chi(2) and logistic regression analyses examined risk of childhood death or hospitalization, failure to graduate high school, intervention by child protective services, becoming a teen mother, and welfare receipt as a young adult. RESULTS For children of both teen and prior teen mothers, adjusted likelihoods of death during infancy, school-aged years, and adolescence were more than 2-fold higher than for other children. Risks for hospitalization, high hospital use, academic failure, and poor social outcomes were also substantially higher. At a societal level, only 16.5% of cohort children were born to teen and prior teen mothers. However, these children accounted for 27% of first-year hospitalizations, 34% of deaths (birth to 17 years), 30% of failures to graduate high school, 51% in foster care, 44% on welfare as young adults, and 56% of next-generation young teen mothers. CONCLUSIONS Children of prior teen mothers had increased risks for poor health and for educational and social outcomes nearly equal to those seen in children of teen mothers. Combined, these relatively few children experienced a large share of the negative outcomes occurring among young people. Our results suggest the need to expand the definition of risk associated with adolescent motherhood and target their children for enhanced medical and social services.

Administrative data linkage as a tool for child maltreatment research

Linking administrative data records for the same individuals across services and over time offers a powerful, population-wide resource for child maltreatment research that can be used to identify risk and protective factors and to examine outcomes. Multistage de-identification processes have been developed to protect privacy and maintain confidentiality of the datasets. Lack of information on those not coming to the attention of child protection agencies, and limited information on certain variables, such as individual-level SES and parenting practices, is outweighed by strengths that include large and unbiased samples, objective measures, comprehensive long-term follow-up, continuous data collection, and relatively low expense. Ever emerging methodologies and expanded holdings ensure that research using linked population-wide databases will make important contributions to the study of child maltreatment.

Rethinking What is Important: Biologic Versus Social Predictors of Childhood Health and Educational Outcomes

Background: Social risk factors are often less vigorously pursued in clinical assessments of infant risk than are biologic risk factors. We examined the relative importance of early social and biologic risk factors in predicting poor health and educational outcomes in children. Methods: The study was composed of all infants born in Winnipeg, Canada, during April–December 1984, who were followed up until age 19 years (n = 4667). Predictors were 3 routinely assessed biologic risks (birth weight, gestational age, and Apgar score) and 3 prominent social factors (mothers age, parent marital status, and socioeconomic status). Outcomes were childhood hospitalization and passage of a required high school examination. Analyses included logistic regression, measures of accuracy, and population attributable risk percent (PAR%). Results: Biologic and social risk factors were associated with similarly steep poor outcomes gradients. Social risk factors had similar, and in some cases stronger, measures of association and accuracy. Using biologic risk criteria alone misclassified as low-risk 65% of cohort children who had high rates of later hospitalization and examination failure. PAR% associated with social risk factors exceeded biologic risk factors in most cases (eg, hospitalization PAR% = 4.4 for offspring of teen mothers vs. 1.7 for low birth weight). Conclusions: In a population-based sample of infants followed-up through adolescence, early social risk factors were as threatening as, and more common than, routinely documented biologic risks—frequently identifying otherwise-unrecognized at-risk children. These findings together suggest that rigorous evaluation of social factors should be made a routine part of clinical assessment to more comprehensively and accurately identify infants at risk for later serious health problems and academic failure.

Neighborhood Adversity, Child Health, and the Role for Community Development

Despite medical advances, childhood health and well-being have not been broadly achieved due to rising chronic diseases and conditions related to child poverty. Family and neighborhood living conditions can have lasting consequences for health, with community adversity affecting health outcomes in significant part through stress response and increased allostatic load. Exposure to this “toxic stress” influences gene expression and brain development with direct and indirect negative consequences for health. Ensuring healthy child development requires improving conditions in distressed, high-poverty neighborhoods by reducing children’s exposure to neighborhood stressors and supporting good family and caregiver functioning. The community development industry invests more than

Unconditional Prenatal Income Supplement and Birth Outcomes.

200 billion annually in low-income neighborhoods, with the goal of improving living conditions for residents. The most impactful investments have transformed neighborhoods by integrating across sectors to address both the built environment and the social and service environment. By addressing many facets of the social determinants of health at once, these efforts suggest substantial results for children, but health outcomes generally have not been considered or evaluated. Increased partnership between the health sector and community development can bring health outcomes explicitly into focus for community development investments, help optimize intervention strategies for health, and provide natural experiments to build the evidence base for holistic interventions for disadvantaged children. The problems and potential solutions are beyond the scope of practicing pediatricians, but the community development sector stands ready to engage in shared efforts to improve the health and development of our most at-risk children.

Family structure and multiple domains of child well-being in the United States: a cross-sectional study

BACKGROUND AND OBJECTIVES: Perinatal outcomes have improved in developed countries but remain poor for disadvantaged populations. We examined whether an unconditional income supplement to low-income pregnant women was associated with improved birth outcomes. METHODS: This study included all mother–newborn pairs (2003–2010) in Manitoba, Canada, where the mother received prenatal social assistance, the infant was born in the hospital, and the pair had a risk screen (N = 14 591). Low-income women who received the income supplement (Healthy Baby Prenatal Benefit [HBPB], n = 10 738) were compared with low-income women who did not receive HBPB (n = 3853) on the following factors: low birth weight, preterm, small and large for gestational age, Apgar score, breastfeeding initiation, neonatal readmission, and newborn hospital length of stay (LOS). Covariates from risk screens were used to develop propensity scores and to balance differences between groups in regression models; γ sensitivity analyses were conducted to assess sensitivity to unmeasured confounding. Population-attributable and preventable fractions were calculated. RESULTS: HBPB was associated with reductions in low birth weight (aRR, 0.71 [95% CI, 0.63–0.81]), preterm births (aRR, 0.76 [95% CI, 0.69–0.84]) and small for gestational age births (aRR, 0.90 [95% CI, 0.81–0.99]) and increases in breastfeeding (aRR, 1.06 [95% CI, 1.03–1.09]) and large for gestational age births (aRR, 1.13 [95% CI, 1.05–1.23]). For vaginal births, HBPB was associated with shortened LOS (weighted mean, 2.86; P < .0001). Results for breastfeeding, low birth weight, preterm birth, and LOS were robust to unmeasured confounding. Reductions of 21% (95% CI, 13.6–28.3) for low birth weight births and 17.5% (95% CI, 11.2–23.8) for preterm births were associated with HBPB. CONCLUSIONS: Receipt of an unconditional prenatal income supplement was associated with positive outcomes. Placing conditions on income supplements may not be necessary to promote prenatal and perinatal health.

Trauma and mental health of medics in eastern Myanmar's conflict zones: a cross-sectional and mixed methods investigation

BackgroundWe examine the association between family structure and children’s health care utilization, barriers to health care access, health, and schooling and cognitive outcomes and assess whether socioeconomic status (SES) accounts for those family structure differences. We advance prior research by focusing on understudied but increasingly common family structures including single father families and five different family structures that include grandparents.MethodsOur data on United States children aged birth through 17 (unweighted N = 198,864) come from the 1997–2013 waves of the National Health Interview Survey, a nationally representative, publicly available, household-based sample. We examine 17 outcomes across nine family structures, including married couple, cohabiting couple, single mother, and single father families, with and without grandparents, and skipped-generation families that include children and grandparents but not parents. The SES measures include family income, home ownership, and parents’ or grandparents’ (depending on who is in the household) employment and education.ResultsCompared to children living with married couples, children in single mother, extended single mother, and cohabiting couple families average poorer outcomes, but children in single father families sometimes average better health outcomes. The presence of grandparents in single parent, cohabiting, or married couple families does not buffer children from adverse outcomes. SES only partially explains family structure disparities in children’s well-being.ConclusionsAll non-married couple family structures are associated with some adverse outcomes among children, but the degree of disadvantage varies across family structures. Efforts to understand and improve child well-being might be most effective if they recognize the increasing diversity in children’s living arrangements.