Adverse Childhood Experiences Predict Common Neurodevelopmental and Behavioral Health Conditions among U.S. Children

Adverse Childhood Experiences and Autism: A Meta-Analysis

Evidence suggests that autistic children have a higher probability of experiencing adverse childhood experiences (ACEs) compared to their non-autistic peers. This meta-analysis (PROSPERO: CRD42022262635) aimed to quantify the association of autism and ACEs. Eight databases and Google Scholar were searched for studies that reported dichotomous outcomes regarding the associations between ACEs and autistic individuals, compared to non-autistic individuals. A random-effects model was used to calculate the average Odds Ratio (OR) of the relationship between a diagnosis of autism and ACEs. A total of 40 studies with 5,619,584 participants were included, generating an overall average OR 2.11 (CI 1.61, 2.77). Significant differences in the magnitude of association were found across studies with regards to the type of ACEs studied, comparison groups, and population type. Overall, moderate certainty evidence (downgraded for bias) indicates that autistic individuals are at greater risk of experiencing ACEs, compared to non-autistic individuals. Appropriate support for autistic individuals and their families are required to prevent ACEs and treat the impact of ACEs.

Childhood adversity modulates structural brain changes in borderline personality but not in major depression disorder

Adverse childhood experiences (ACEs) negatively affect the function and structure of emotion brain circuits, increasing the risk of various psychiatric disorders. It is unclear if ACEs show disorder specificity with respect to their effects on brain structure. We aimed to investigate whether the structural brain effects of ACEs differ between patients with major depression (MDD) and borderline personality disorder (BPD). These disorders share many symptoms but likely have different etiologies. To achieve our goal, we obtained structural 3T-MRI images from 20 healthy controls (HC), 19 MDD patients, and 18 BPD patients, and measured cortical thickness and subcortical gray matter volumes. We utilized the Adverse Childhood Experiences (ACE) questionnaire to quantify self-reported exposure to childhood trauma. Our findings suggest that individuals with MDD exhibit a smaller cortical thickness when compared to those with BPD. However, ACEs showed a significantly affected relationship with cortical thickness in BPD but not in MDD. ACEs were found to be associated with thinning in cortical regions involved in emotional behavior in BPD, whereas HC showed an opposite association. Our results suggest a potential mechanism of ACE effects on psychopathology involving changes in brain structure. These findings highlight the importance of early detection and intervention strategies.

Brief Report: The Association of Adverse Childhood Experiences and Suicide-Related Behaviors Among 10th-Grade Secondary School Students

The association between adverse childhood experiences and suicide-related behaviors (SRB) of adolescents has been widely studied in Western high-income countries, but not yet in Latin America. The aim of this study was to determine this association and to explore a dose-response relationship between adverse childhood experiences and SRB in Chile. We conducted a cross-sectional survey to assess adverse childhood experiences up to 1 year prior to the survey and SRB (suicide ideation and attempts) in a sample of secondary school students. Multilevel and multivariable logistic regressions were run with SRB as dependent and adverse childhood experiences as independent variables, adjusted by self-esteem, general mental health, friend and parental support, and the age at onset of cannabis and alcohol use. We included 7,458 adolescents (48.7% girls), mean age = 16.0 (SD = 0.7), and found a prevalence of 78.1% for at least one adverse childhood experience. The 6-month prevalence of suicidal ideation was 18.1% (95% confidence interval [CI]: 17.2%-19.0%), and the prevalence of suicide attempts was 5.0% (95% CI: 4.6-5.6). Among all adverse childhood experiences, only sexual abuse was a risk factor for both SRB. We also found an independent effect of the total number of adverse childhood experiences on suicidal ideation (p < .001) and on suicide attempts (p < .001). Additionally, ages at onset of alcohol and cannabis use were associated with suicidal ideation and suicidal attempts, respectively. This is the first study exploring the influence of adverse childhood experiences on suicide-related behaviors in adolescents from Latin America.HIGHLIGHTSSexual abuse is associated with suicidal ideation and suicide attempts in 10th-grade secondary school studentsThere is a dose-response effect between adverse childhood experiences and suicide-related behaviorAges at onset of alcohol and cannabis use were associated with suicidal ideation and suicidal attempts, respectively.

Adverse Childhood Experiences and ADHD Symptoms Among French College Students

To examine the relationship between adverse childhood experiences (ACEs) and Attention-deficit Hyperactivity Disorder (ADHD) among college students. We investigated the association between ACEs and ADHD symptoms among French college students enrolled in the i-Share cohort using multivariate logistic regression models. The sample comprised of 1062 participants with a mean age of 20.3 (SD = 2.3) of which 30.6% had no ACEs exposure, 29.6% had 1 ACE, 19.2% had 2 ACEs, and 20.6% had ≥ 3 ACEs. After controlling for potential confounders, every increase in ACE exposure heightened the risk of ADHD symptoms with the respective adjusted Odds Ratios and 95% confidence intervals: 1 ACE: 2.1 (0.7-6.3) / 2 ACEs: 4.5 (2.6-12.8)/ ≥ 3 ACEs: 5.2 (1.8-14.8). Estimates for ADHD symptoms were higher with sexual abuse, emotional and physical neglect, and bullying. Findings suggest that ACEs heighten the risk for developing ADHD symptoms among college students and bear important implications for prevention and clinical practice.

Association between cumulative psychosocial adversity in the family and ADHD and autism: a family-based cohort study

Cumulative exposure to psychosocial adversity at an early age has been shown to be a risk factor for attention-deficit hyperactivity disorder (ADHD) and autism that often co-occur. However, it is not clear if this association reflects a causal effect or familial confounding. We aimed to assess whether cumulative psychosocial adversity in the family increases the risk for ADHD and autism in offspring while accounting for unmeasured familial confounding. We used a population-based cohort of 1,877,901 individuals born in Sweden between 1990 and 2009. Participants were followed from the age of 3 until 2013, with a median follow up time of 13.8 years. We created a cumulative index based on 7 psychosocial adversity factors. We used Cox regression to estimate the hazard ratios (HRs) relating neurodevelopmental conditions to cumulative psychosocial adversity. To address familial confounding, the analyses were repeated in groups of relatives of different kinship: siblings and half-siblings and cousins. A dose-response relationship was observed between cumulative exposure to psychosocial adversity and ADHD at a general population level (covariate adjusted HRs (aHRs) with 95% confidence intervals ranged from 1.55 [one adversity; 1.53-1.58] to 2.65 [ ≥ 4 adversities; 1.98-3.54]). No clear dose-response relation was seen for autism (aHRs ranged from 1.04 [.59-1.84] to 1.37 [1.30-1.45]). HRs of ADHD and autism decreased with increasing level of kinship in the analysis of relatives. Cumulative exposure to psychosocial adversity was associated with both ADHD and autism in the general population, these associations were partly explained by unmeasured familial confounding between relatives. This highlights the need for using family-based designs in studies of psychosocial adversity and ADHD and autism.

Contextualizing the impact of prenatal alcohol and tobacco exposure on neurodevelopment in a South African birth cohort: an analysis from the socioecological perspective

Background

Alcohol and tobacco are known teratogens. Historically, more severe prenatal alcohol exposure (PAE) and prenatal tobacco exposure (PTE) have been examined as the principal predictor of neurodevelopmental alterations, with little incorporation of lower doses or ecological contextual factors that can also impact neurodevelopment, such as socioeconomic resources (SER) or adverse childhood experiences (ACEs). Here, a novel analytical approach informed by a socio-ecological perspective was used to examine the associations between SER, PAE and/or PTE, and ACEs, and their effects on neurodevelopment.

Methods

N = 313 mother-child dyads were recruited from a prospective birth cohort with maternal report of PAE and PTE, and cross-sectional structural brain neuroimaging of child acquired via 3T scanner at ages 8-11 years. In utero SER was measured by maternal education, household income, and home utility availability. The child's ACEs were measured by self-report assisted by the researcher. PAE was grouped into early exposure (<12 weeks), continued exposure (>=12 weeks), and no exposure controls. PTE was grouped into exposed and non-exposed controls.

Results

Greater access to SER during pregnancy was associated with fewer ACEs (maternal education: β = -0.293,p = 0.01; phone access: β = -0.968,p = 0.05). PTE partially mediated the association between SER and ACEs, where greater SER reduced the likelihood of PTE, which was positively associated with ACEs (β = 1.110,p = 0.01). SER was associated with alterations in superior frontal (β = -1336.036, q = 0.046), lateral orbitofrontal (β = -513.865, q = 0.046), caudal anterior cingulate volumes (β = -222.982, q = 0.046), with access to phone negatively associated with all three brain volumes. Access to water was positively associated with superior frontal volume (β=1569.527, q = 0.013). PTE was associated with smaller volumes of lateral orbitofrontal (β = -331.000, q = 0.033) and nucleus accumbens regions (β = -34.800, q = 0.033).

Conclusion

Research on neurodevelopment following community-levels of PAE and PTE should more regularly consider the ecological context to accelerate understanding of teratogenic outcomes. Further research is needed to replicate this novel conceptual approach with varying PAE and PTE patterns, to disentangle the interplay between dose, community-level and individual-level risk factors on neurodevelopment.

Clinical review: Implementation of trauma informed care to optimally impact the treatment of childhood obesity

Background

Traumatic events that occur in infancy, childhood, and adolescence can be impactful over the course of a lifespan. Adverse childhood experiences (ACEs) are associated with chronic health problems and mental illness, and can negatively impact educational and job opportunities. There is a growing body of evidence about the relationship between ACEs and the risk of childhood obesity. Trauma informed care (TIC) is an approach to patient care both at the clinical and organizational level that is responsive to the impact past trauma can have on an individual.

Methods

This clinical review will focus on the impact of toxic stress from trauma on the child through threats to normal physiology, including the manifestation of obesity through energy regulation pathophysiology, followed by a discussion of TIC principles. Available resources and how trauma informed principles can be used in practice are discussed using case study methodology.

Results

TIC programs recognize the impact of trauma on both patients and clinicians. TIC implementation includes application of TIC four assumptions and six key principles out-lined by Substance Abuse and Mental Health Services Administration's guidance. Clinicians supported by well-designed systems recognize that disclosure is not the goal of TIC; instead, broad trauma inquiry, proceeding to risk and safety assessment if indicated, and connection to interventions is the focus. Best practice communication allows clinicians to access information without retraumatizing the patient with ongoing repetition of their trauma experience.

Conclusion

Combining the pillars of obesity treatment (i.e., nutrition, physical activity, behavior therapy, medical management) with the tenets of TIC (realize, recognize, respond, resist re-traumatization) affords patients holistic, intentional care and family support. The desired outcomes of TIC align with goals of obesity treatment in children, namely improvement of health and quality of life, sense of self (e.g., body image and self-esteem), and prevention of negative health outcomes.

Perceived social support moderates the association between household dysfunction adverse childhood experiences (ACEs) and self-reported drug use among men who have sex with men in Los Angeles, California

BACKGROUND

Adverse childhood experiences (ACEs) have been shown to be associated with drug use in adulthood. The single ACE of household substance use history (part of the household dysfunction category) has frequently been associated with drug use. Resilience factors such as perceived social support appear to buffer the association between ACEs and drug use and may be particularly relevant for urban men who have sex with men (MSM). The current study of low-income mostly Black and Latino MSM aims to investigate whether the cumulative ACE score predicts self-reported drug use in a dose-response manner and whether this potential association differs by perceived social support.

METHODS

Data was utilized from a longitudinal study of MSM (mean age=34; SD=7.1) with varied substance use behaviors (n = 321) collected between August 2014 and April 2022. Cumulative, household dysfunction ACEs, and the single ACE of household substance use history were investigated as predictors of self-reported drug use (methamphetamine, ecstasy, cocaine/crack, heroin/fentanyl, party drugs [GHB, special K, mushrooms, LSD/acid], other drugs [bath salts, PCP]) during the past six months in mixed-effects logistic regression models, with moderation analyses by perceived social support (measured by the Multidimensional Scale of Perceived Social Support) across all models using stratified analysis and one model of multiplicative interaction.

RESULTS

There was no suggestion of a dose-response relationship between the number of ACEs and the predicted probability of self-reported drug use. Cumulative ACEs did not predict the outcome overall (aOR=1.99; 95% CI: 0.86-4.59), however, a positive association was estimated for individuals reporting lower levels of perceived social support (aOR=2.80; 95% CI: 0.97-8.06). The dimension of household dysfunction had a positive association with drug use (aOR=1.32; 95% CI: 1.00-1.74) whereas the dimension of childhood maltreatment did not. The association between household dysfunction and drug use was moderated by the perception of social support, with those reporting lower levels having greater odds of reporting drug use (aOR=2.94; 95% CI: 1.04-8.31). The association between household substance use history and self-reported drug use was similarly moderated by perceived social support in a multiplicative interaction model (p = .02).

CONCLUSION

Perceived social support emerged as a potential buffering factor for any reported drug use, particularly for the single ACE of household substance use history. Given that the association between ACEs and drug use was weak among those with higher levels of perceived social support, promotion of social ties in the community may help reduce the burden of substance use among MSM exposed to ACEs.

Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis

Attention deficit hyperactivity disorder (ADHD) is one of childhood’s most frequent neurobehavioral disorders. The purpose of this study is to: (i) extract the most prominent risk factors for children with ADHD; and (ii) propose a machine learning (ML)-based approach to classify children as either having ADHD or healthy. We extracted the data of 45,779 children aged 3–17 years from the 2018–2019 National Survey of Children’s Health (NSCH, 2018–2019). About 5218 (11.4%) of children were ADHD, and the rest of the children were healthy. Since the class label is highly imbalanced, we adopted a combination of oversampling and undersampling approaches to make a balanced class label. We adopted logistic regression (LR) to extract the significant factors for children with ADHD based on p-values (<0.05). Eight ML-based classifiers such as random forest (RF), Naïve Bayes (NB), decision tree (DT), XGBoost, k-nearest neighborhood (KNN), multilayer perceptron (MLP), support vector machine (SVM), and 1-dimensional convolution neural network (1D CNN) were adopted for the prediction of children with ADHD. The average age of the children with ADHD was 12.4 ± 3.4 years. Our findings showed that RF-based classifier provided the highest classification accuracy of 85.5%, sensitivity of 84.4%, specificity of 86.4%, and an AUC of 0.94. This study illustrated that LR with RF-based system could provide excellent accuracy for classifying and predicting children with ADHD. This system will be helpful for early detection and diagnosis of ADHD.

Using Microbiome-Based Approaches to Deprogram Chronic Disorders and Extend the Healthspan following Adverse Childhood Experiences

Adverse childhood experiences (ACEs), which can include child trafficking, are known to program children for disrupted biological cycles, premature aging, microbiome dysbiosis, immune-inflammatory misregulation, and chronic disease multimorbidity. To date, the microbiome has not been a major focus of deprogramming efforts despite its emerging role in every aspect of ACE-related dysbiosis and dysfunction. This article examines: (1) the utility of incorporating microorganism-based, anti-aging approaches to combat ACE-programmed chronic diseases (also known as noncommunicable diseases and conditions, NCDs) and (2) microbiome regulation of core systems biology cycles that affect NCD comorbid risk. In this review, microbiota influence over three key cyclic rhythms (circadian cycles, the sleep cycle, and the lifespan/longevity cycle) as well as tissue inflammation and oxidative stress are discussed as an opportunity to deprogram ACE-driven chronic disorders. Microbiota, particularly those in the gut, have been shown to affect host–microbe interactions regulating the circadian clock, sleep quality, as well as immune function/senescence, and regulation of tissue inflammation. The microimmunosome is one of several systems biology targets of gut microbiota regulation. Furthermore, correcting misregulated inflammation and increased oxidative stress is key to protecting telomere length and lifespan/longevity and extending what has become known as the healthspan. This review article concludes that to reverse the tragedy of ACE-programmed NCDs and premature aging, managing the human holobiont microbiome should become a routine part of healthcare and preventative medicine across the life course.