Roy Wade

Adverse Childhood Experiences Expanding the Concept of Adversity

INTRODUCTION Current knowledge of Adverse Childhood Experiences (ACEs) relies on data predominantly collected from white, middle- / upper-middle-class participants and focuses on experiences within the home. Using a more socioeconomically and racially diverse urban population, Conventional and Expanded (community-level) ACEs were measured to help understand whether Conventional ACEs alone can sufficiently measure adversity, particularly among various subgroups. METHODS Participants from a previous large, representative, community-based health survey in Southeast Pennsylvania who were aged ≥18 years were contacted between November 2012 and January 2013 to complete another phone survey measuring ACEs. Ordinal logistic regression models were used to test associations between Conventional and Expanded ACEs scores and demographic characteristics. Analysis was conducted in 2013 and 2014. RESULTS Of 1,784 respondents, 72.9% had at least one Conventional ACE, 63.4% at least one Expanded ACE, and 49.3% experienced both. A total of 13.9% experienced only Expanded ACEs and would have gone unrecognized if only Conventional ACEs were assessed. Certain demographic characteristics were associated with higher risk for Conventional ACEs but were not predictive of Expanded ACEs, and vice versa. Few adversities were associated with both Conventional and Expanded ACEs. CONCLUSIONS To more accurately represent the level of adversity experienced across various sociodemographic groups, these data support extending the Conventional ACEs measure.

Adverse Childhood Experiences of Low-Income Urban Youth

BACKGROUND AND OBJECTIVE: Current assessments of adverse childhood experiences (ACEs) may not adequately encompass the breadth of adversity to which low-income urban children are exposed. The purpose of this study was to identify and characterize the range of adverse childhood experiences faced by young adults who grew up in a low-income urban area. METHODS: Focus groups were conducted with young adults who grew up in low-income Philadelphia neighborhoods. Using the nominal group technique, participants generated a list of adverse childhood experiences and then identified the 5 most stressful experiences on the group list. The most stressful experiences identified by participants were grouped into a ranked list of domains and subdomains. RESULTS: Participants identified a range of experiences, grouped into 10 domains: family relationships, community stressors, personal victimization, economic hardship, peer relationships, discrimination, school, health, child welfare/juvenile justice, and media/technology. Included in these domains were many but not all of the experiences from the initial ACEs studies; parental divorce/separation and mental illness were absent. Additional experiences not included in the initial ACEs but endorsed by our participants included single-parent homes; exposure to violence, adult themes, and criminal behavior; personal victimization; bullying; economic hardship; and discrimination. CONCLUSIONS: Gathering youth perspectives on childhood adversity broadens our understanding of the experience of stress and trauma in childhood. Future work is needed to determine the significance of this broader set of adverse experiences in predisposing children to poor health outcomes as adults.

Research ArticleAdverse Childhood Experiences: Expanding the Concept of Adversity

INTRODUCTION Current knowledge of Adverse Childhood Experiences (ACEs) relies on data predominantly collected from white, middle- / upper-middle-class participants and focuses on experiences within the home. Using a more socioeconomically and racially diverse urban population, Conventional and Expanded (community-level) ACEs were measured to help understand whether Conventional ACEs alone can sufficiently measure adversity, particularly among various subgroups. METHODS Participants from a previous large, representative, community-based health survey in Southeast Pennsylvania who were aged ≥18 years were contacted between November 2012 and January 2013 to complete another phone survey measuring ACEs. Ordinal logistic regression models were used to test associations between Conventional and Expanded ACEs scores and demographic characteristics. Analysis was conducted in 2013 and 2014. RESULTS Of 1,784 respondents, 72.9% had at least one Conventional ACE, 63.4% at least one Expanded ACE, and 49.3% experienced both. A total of 13.9% experienced only Expanded ACEs and would have gone unrecognized if only Conventional ACEs were assessed. Certain demographic characteristics were associated with higher risk for Conventional ACEs but were not predictive of Expanded ACEs, and vice versa. Few adversities were associated with both Conventional and Expanded ACEs. CONCLUSIONS To more accurately represent the level of adversity experienced across various sociodemographic groups, these data support extending the Conventional ACEs measure.

Screening for Social Determinants of Health Among Children and Families Living in Poverty: A Guide for Clinicians

Approximately 20% of all children in the United States live in poverty, which exists in rural, urban, and suburban areas. Thus, all child health clinicians need to be familiar with the effects of poverty on health and to understand associated, preventable, and modifiable social factors that impact health. Social determinants of health are identifiable root causes of medical problems. For children living in poverty, social determinants of health for which clinicians may play a role include the following: child maltreatment, child care and education, family financial support, physical environment, family social support, intimate partner violence, maternal depression and family mental illness, household substance abuse, firearm exposure, and parental health literacy. Children, particularly those living in poverty, exposed to adverse childhood experiences are susceptible to toxic stress and a variety of child and adult health problems, including developmental delay, asthma and heart disease. Despite the detrimental effects of social determinants on health, few child health clinicians routinely address the unmet social and psychosocial factors impacting children and their families during routine primary care visits. Clinicians need tools to screen for social determinants of health and to be familiar with available local and national resources to address these issues. These guidelines provide an overview of social determinants of health impacting children living in poverty and provide clinicians with practical screening tools and resources.

Adverse experiences in early childhood and kindergarten outcomes

OBJECTIVE: To examine associations between adverse childhood experiences (ACEs) in early childhood and teacher-reported academic and behavioral problems in kindergarten. METHODS: We conducted a secondary analysis of data from the Fragile Families and Child Wellbeing Study, a national urban birth cohort. Subjects with primary caregiver-reported information on ACE exposures ascertained at 5 years and teacher-reported outcomes at the end of the child’s kindergarten year were included. Outcomes included teacher ratings of academic skills, emergent literacy skills, and behavior. We included 8 ACE exposures on the basis of the original Centers for Disease Control and Prevention Kaiser study and created an ACE score by summing individual adversities. We examined the associations between teacher-reported academic and behavioral outcomes and ACE scores by using logistic regression. RESULTS: In the study sample, 1007 children were included. Fifty-five percent had experienced 1 ACE and 12% had experienced ≥ 3. Adjusting for potential confounders, experiencing ≥ 3 ACEs was associated with below-average language and literacy skills (adjusted odds ratio [AORs]: 1.8; 95% confidence interval [CI]: 1.1–2.9) and math skills (AOR: 1.8, 95% CI: 1.1–2.9), poor emergent literacy skills, attention problems (AOR: 3.5, 95% CI: 1.8–6.5), social problems (AOR: 2.7, 95% CI: 1.4–5.0), and aggression (AOR: 2.3, 95% CI: 1.2–4.6). CONCLUSIONS: In this study of urban children, experiencing ACEs in early childhood was associated with below-average, teacher-reported academic and literacy skills and behavior problems in kindergarten. These findings underscore the importance of integrated approaches that promote optimal development among vulnerable children.

Household and community-level Adverse Childhood Experiences and adult health outcomes in a diverse urban population ☆

Adverse Childhood Experiences (ACEs), which include family dysfunction and community-level stressors, negatively impact the health and well being of children throughout the life course. While several studies have examined the impact of these childhood exposures amongst racially and socially diverse populations, the contribution of ACEs in the persistence of socioeconomic disparities in health is poorly understood. To determine the association between ACEs and health outcomes amongst a sample of adults living in Philadelphia and examine the moderating effect of Socioeconomic Status (SES) on this association, we conducted a cross-sectional survey of 1,784 Philadelphia adults, ages 18 and older, using random digit dialing methodology to assess Conventional ACEs (experiences related to family dysfunction), Expanded ACEs (community-level stressors), and health outcomes. Using weighted, multivariable logistic regression analyses along with SES stratified models, we examined the relationship between ACEs and health outcomes as well as the modifying effect of current SES. High Conventional ACE scores were significantly associated with health risk behaviors, physical and mental illness, while elevated Expanded ACE scores were associated only with substance abuse history and sexually transmitted infections. ACEs did have some differential impacts on health outcomes based on SES. Given the robust impact of Conventional ACEs on health, our results support prior research highlighting the primacy of family relationships on a childs life course trajectory and the importance of interventions designed to support families. Our findings related to the modifying effect of SES may provide additional insight into the complex relationship between poverty and childhood adversity.

Methods to Assess Adverse Childhood Experiences of Children and Families: Toward Approaches to Promote Child Well-being in Policy and Practice

BACKGROUND Advances in human development sciences point to tremendous possibilities to promote healthy child development and well-being across life by proactively supporting safe, stable and nurturing family relationships (SSNRs), teaching resilience, and intervening early to promote healing the trauma and stress associated with disruptions in SSNRs. Assessing potential disruptions in SSNRs, such as adverse childhood experiences (ACEs), can contribute to assessing risk for trauma and chronic and toxic stress. Asking about ACEs can help with efforts to prevent and attenuate negative impacts on child development and both child and family well-being. Many methods to assess ACEs exist but have not been compared. The National Survey of Childrens Health (NSCH) now measures ACEs for children, but requires further assessment and validation. METHODS We identified and compared methods to assess ACEs among children and families, evaluated the acceptability and validity of the new NSCH-ACEs measure, and identified implications for assessing ACEs in research and practice. RESULTS Of 14 ACEs assessment methods identified, 5 have been used in clinical settings (vs public health assessment or research) and all but 1 require self or parent report (3 allow child report). Across methods, 6 to 20 constructs are assessed, 4 of which are common to all: parental incarceration, domestic violence, household mental illness/suicide, household alcohol or substance abuse. Common additional content includes assessing exposure to neighborhood violence, bullying, discrimination, or parental death. All methods use a numeric, cumulative risk scoring methodology. The NSCH-ACEs measure was acceptable to respondents as evidenced by few missing values and no reduction in response rate attributable to asking about childrens ACEs. The 9 ACEs assessed in the NSCH co-occur, with most children with 1 ACE having additional ACEs. This measure showed efficiency and confirmatory factor analysis as well as latent class analysis supported a cumulative risk scoring method. Formative as well as reflective measurement models further support cumulative risk scoring and provide evidence of predictive validity of the NSCH-ACEs. Common effects of ACEs across household income groups confirm information distinct from economic status is provided and suggest use of population-wide versus high-risk approaches to assessing ACEs. CONCLUSIONS Although important variations exist, available ACEs measurement methods are similar and show consistent associations with poorer health outcomes in absence of protective factors and resilience. All methods reviewed appear to coincide with broader goals to facilitate health education, promote health and, where needed, to mitigate the trauma, chronic stress, and behavioral and emotional sequelae that can arise with exposure to ACEs. Assessing ACEs appears acceptable to individuals and families when conducted in population-based and clinical research contexts. Although research to date and neurobiological findings compel early identification and health education about ACEs in clinical settings, further research to guide use in pediatric practice is required, especially as it relates to distinguishing ACEs assessment from identifying current family psychosocial risks and child abuse. The reflective as well as formative psychometric analyses conducted in this study confirm use of cumulative risk scoring for the NSCH-ACEs measure. Even if children have not been exposed to ACEs, assessing ACEs has value as an educational tool for engaging and educating families and children about the importance of SSNRs and how to recognize and manage stress and learn resilience.

Development and Evaluation of a Short Adverse Childhood Experiences Measure

INTRODUCTION Clinicians require tools to rapidly identify individuals with significant childhood adversity as part of routine primary care. The goal of this study was to shorten the 11-item Behavioral Risk Factor Surveillance System Adverse Childhood Experiences (ACEs) measure and evaluate the feasibility and validity of this shortened measure as a screener to identify adults who have experienced significant childhood adversity. METHODS Statistical analysis was conducted in 2015. ACE item responses obtained from 2011-2012 Behavioral Risk Factor Surveillance System data were combined to form a sample of 71,413 adults aged ≥18 years. The 11-item Behavioral Risk Factor Surveillance System ACE measure was subsequently reduced to a two-item screener by maintaining the two dimensions of abuse and household stressors and selecting the most prevalent item within each dimension. RESULTS The screener included household alcohol and childhood emotional abuse items. Overall, 42% of respondents and at least 75% of the individuals with four or more ACEs endorsed one or both of these experiences. Using the 11-item ACE measure as the standard, a cut off of one or more ACEs yielded a sensitivity of 99%, but specificity was low (66%). Specificity improved to 94% when using a cut off of two ACEs, but sensitivity diminished (70%). There was no substantive difference between the 11-and two-item ACE measures in their strength of association with an array of health outcomes. CONCLUSIONS A two-item ACE screener appropriate for rapid identification of adults who have experienced significant childhood adversity was developed.

Adverse Childhood Experiences and ADHD Diagnosis at Age 9 Years in a National Urban Sample

OBJECTIVE To examine associations between adverse childhood experiences (ACEs) and attention-deficit/hyperactivity disorder (ADHD) at age 9 years using longitudinal data and assess the extent to which ACEs during middle childhood are independently associated with ADHD at age 9 years. METHODS We conducted a secondary analysis of data from the Fragile Families urban birth cohort 5- and 9-year interviews. The sample was limited to children for whom mothers were the primary caregiver and mother-reported information on 8 ACEs and ADHD were available at age 5 and 9 years. We examined associations between ACEs and parent-reported ADHD at age 9 years using logistic regression and controlling for potential confounders. RESULTS We included 1572 children; 48% were African American, 11% had parent-reported ADHD at age 9 years, 41% and 42% experienced ≥1 ACE by age 5 years and between the ages of 5 and 9 years, respectively. ACEs before age 5 years were associated with ADHD at age 9 years. One, 2, and ≥3 ACEs between age 5 and 9 years were associated with ADHD at age 9 years even after controlling for ACEs before age 5 years and ADHD at age 5 years (adjusted odds ratio [AOR], 1.9; 95% confidence interval [CI], 1.2-3; AOR, 2.1; 95% CI, 1.2-3.8; and AOR, 2.2; 95% CI, 1.1-4.3). CONCLUSIONS In this study of urban children, ACEs occurring before age 5 years as well as between the ages of 5 and 9 years were associated with ADHD at age 9 years. Even after controlling for early childhood ACEs and ADHD at age 5 years, the association between ADHD and ACEs in middle childhood remained significant, highlighting the importance of screening and intervention throughout childhood.

A Pilot Randomized Trial of a Video Patient Decision Aid to Facilitate Early Intervention Referrals From Primary Care.

Many young children identified with developmental concerns in pediatric settings do not receive early intervention (EI). We assessed the impact of a video decision aid and text message reminder on knowledge and attitudes regarding developmental delay and EI as well as referral completion. We conducted a pilot randomized controlled trial in an urban setting and enrolled 64 parent-child dyads referred to EI. Compared with controls, participants who received the intervention demonstrated increased knowledge regarding developmental delay and EI as well as more favorable attitudes in certain topics. Although we did not find a significant difference between arms in EI intake and evaluation, we found a pattern suggestive of increased intake and evaluation among participants with low health literacy in the intervention arm. Additional study is needed to identify strategies that improve the EI referral process for families and to understand the potential targeted role for decision aids and text messages.