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How Family Resilience Shapes Youth Mental Health After Adverse Childhood Experiences

August 27, 2026
in Social Science
Reading Time: 6 mins read
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How Family Resilience Shapes Youth Mental Health After Adverse Childhood Experiences

How Family Resilience Shapes Youth Mental Health After Adverse Childhood Experiences

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Family Resilience May Help Explain How Childhood Adversity Shapes Youth Mental Health

A large US study has found that adverse childhood experiences are strongly associated with mental-health problems in children and adolescents, while also pointing to a potentially important role for the family’s ability to communicate, solve problems and remain hopeful during crises. The analysis, based on nationally representative survey data from more than 34,000 young people, suggests that family resilience may form one link between childhood adversity and later emotional or behavioral difficulties. The researchers caution, however, that the findings reveal statistical associations rather than proving that adversity directly causes mental-health problems through a specific family mechanism.

Adverse childhood experiences, commonly known as ACEs, include potentially traumatic events occurring before the age of 18. The concept originally focused on abuse, neglect and household dysfunction, but more recent frameworks have expanded it to include economic hardship, exposure to violence and discrimination. In the new study, researchers examined nine forms of adversity: financial hardship, parental divorce, the death of a parent, parental incarceration, domestic violence, neighborhood violence, living with someone with mental-health problems, living with someone with drug-use problems and racial discrimination. Many of these experiences are not isolated events. They can alter relationships, routines, caregiving and a household’s ability to respond to stress.

The study’s authors, led by Jusuk Song of Wheaton College in Illinois, used the 2022 National Survey of Children’s Health, conducted by the US Census Bureau. The survey includes information reported by parents or caregivers about children from birth to age 17. For their analysis, the researchers selected 34,362 children aged 6 to 17 from the original 54,103 survey responses. The average age was approximately 12 years. About 55 percent of the sample were adolescents aged 12 to 17, while roughly 45 percent were children aged 6 to 11. The dataset also included information on gender, parental education, household structure and poverty level, allowing the researchers to account statistically for several social and demographic differences between families.

Rather than simply counting diagnoses, the researchers modeled youth mental health as a broad, underlying construct. They grouped anxiety and depression as “internalizing” problems, which involve distress directed inward, and ADHD and behavioral problems as “externalizing” problems, which are more often expressed through difficulties with attention, impulse control or conduct. These two domains were then combined into a higher-order latent mental-health factor. In statistical terms, a latent variable represents a characteristic that cannot be measured perfectly by a single question but can be estimated from several observed indicators. This approach can reduce the influence of measurement error and capture the fact that different mental-health conditions often overlap.

The team used confirmatory factor analysis to test whether the proposed structure matched the survey data, followed by structural equation modeling to examine pathways among adversity, family resilience and mental health. Because many of the survey variables were binary—such as whether a child had ever received a particular diagnosis—the researchers used the mean- and variance-adjusted weighted least-squares estimator, or WLSMV. This method is designed for categorical data and is less likely than ordinary linear-model techniques to produce misleading estimates when responses are yes-or-no rather than continuous measurements. Missing values were handled through multiple imputation, a procedure that replaces missing observations with plausible values across several datasets so that uncertainty caused by missing information is retained.

Family resilience was measured using four survey items assessing how often family members talk together to solve problems, work together on solutions, draw on their collective strengths and remain hopeful when facing difficulties. The measure had high internal consistency, with a Cronbach’s alpha of 0.90, indicating that the items tended to measure a coherent underlying characteristic. This definition differs from simply asking whether a family functions well during ordinary times. Resilience refers more specifically to the capacity to adapt under pressure, reorganize after disruption and mobilize shared coping strategies. In theory, a family can therefore experience serious hardship while still retaining protective patterns of communication and cooperation.

The measurement model showed a strong fit to the data. Its comparative fit index was 0.974 and its Tucker–Lewis index was 0.969, while the root mean square error of approximation was 0.028 and the standardized root mean square residual was 0.044. These statistics indicate that the proposed relationships between the observed survey items and the underlying constructs were broadly consistent with the data. The estimated correlation between ACE exposure and mental-health problems was 0.57, a moderate-to-strong positive association. ACE exposure was also associated with lower family resilience, with a correlation of −0.21, while greater family resilience was associated with fewer mental-health problems, with a correlation of −0.24.

The structural model produced a similar pattern after controlling for age, gender, parental education and family poverty level. The standardized pathway from ACEs to overall mental-health problems was 0.50, meaning that higher levels of reported adversity were associated with substantially higher levels of internalizing and externalizing difficulties. The pathway from ACEs to family resilience was −0.19, suggesting that adversity was linked to weaker family communication, collective problem-solving, perceived strengths or optimism. In turn, the pathway from family resilience to mental-health problems was −0.11, indicating that stronger resilience was associated with fewer reported difficulties.

The researchers also identified a statistically significant indirect pathway from ACEs through family resilience to mental-health outcomes. Its standardized coefficient was 0.02, a relatively small effect, but one that remained significant in the model. This pattern is consistent with the possibility that adversity may undermine a family’s capacity to respond collectively, which may then be associated with poorer mental health in children. The direct pathway from adversity to mental health remained much larger, emphasizing that family resilience accounts for only a limited part of the overall relationship. The study therefore does not suggest that strengthening family resilience can erase the effects of trauma, but it does indicate that family processes may be one modifiable context in which those effects are expressed.

The findings fit with a wider body of developmental and family research. Economic insecurity, domestic violence, parental mental illness and substance-use problems can increase stress for caregivers and children at the same time. Chronic stress may reduce the patience, emotional regulation and consistency needed for supportive parenting, while conflict or instability can make it harder for families to coordinate responses to a child’s distress. For children, repeated exposure to threat or unpredictability may also affect emotion regulation, attention and behavior. These processes can contribute to both internalizing symptoms, such as anxiety and depression, and externalizing symptoms, such as disruptive behavior or difficulties associated with ADHD. The study’s integrated model reflects the fact that these categories often coexist rather than appearing as completely separate conditions.

The authors say the results support interventions that involve more than the individual child. Parent-training programs could help caregivers develop coping and emotion-regulation skills, while family-based therapies could focus on communication, collaborative decision-making and conflict resolution. Trauma-informed care may help children understand how stressful experiences affect emotions and behavior, and can introduce techniques such as cognitive-behavioral strategies, mindfulness and psychoeducation. The researchers also emphasize that family support cannot be separated from broader social conditions. Access to housing, financial assistance, healthcare, community services and culturally appropriate mental-health care may reduce pressures that weaken family resilience in the first place.

Several limitations make the study a starting point rather than a final explanation. The survey was cross-sectional, meaning that information about adversity, resilience and mental health was collected at one point in time. Structural equation modeling can represent a proposed temporal sequence, but it cannot establish that ACEs caused lower resilience or that lower resilience caused mental-health problems. The measures also relied largely on caregiver reports and used a limited number of indicators for broad mental-health domains. ADHD, for example, is a heterogeneous neurodevelopmental condition that does not fit neatly into an externalizing category, while the ACE measure did not fully capture abuse, neglect or every form of identity-based discrimination.

Future longitudinal studies could follow children over time to determine whether changes in family resilience precede changes in symptoms, and whether resilience-building interventions improve outcomes. Researchers could also examine differences among racial, ethnic and socioeconomic groups, include peer and community support, and distinguish symptom severity from threshold-based diagnostic categories. For now, the study’s central message is both sobering and potentially constructive: childhood adversity is closely tied to youth mental-health difficulties, but the family environment remains a dynamic system rather than a fixed destiny. Understanding and strengthening the ways families communicate, cooperate and sustain hope may offer one route toward reducing the burden carried by children exposed to hardship.

Subject of Research: Adverse childhood experiences, family resilience and mental-health outcomes among US children and adolescents

Subject of Research: Social Science

Article Title: The Impact of Adverse Childhood Experiences on Youth’s Mental Health: What is the Role of Family Resilience?

Article References: The Impact of Adverse Childhood Experiences on Youth’s Mental Health: What is the Role of Family Resilience? Springer Nature article

Image Credits: AI Generated

DOI: 10.1007/s40653-026-00966-4

Keywords: adverse childhood experiences, youth mental health, family resilience, anxiety, depression, ADHD, behavioral problems, structural equation modeling

Tags: ACEs and behavioral difficulties in youthAdverse childhood experiences and youth mental healthchildhood exposure to violence and discriminationcomprehensive analysis of childhood trauma effectseffects of childhood adversity on emotional developmenteffects of childhood trauma including abuse and neglectexposure to violence and discrimination in childhoodfamily resilience and coping mechanismsfamily resilience in childhood adversityfamily-based interventions for mental health resilienceimpact of childhood adversity on emotional and behavioral developmentimpact of trauma on adolescent mental healthimportance of hope and support in family resilienceinfluence of economic hardship and household dysfunctioninfluence of family hope and supportmental health outcomes related to childhood adversityprotective factors against youth mental health issuesprotective factors in family dynamicsrole of family communication and problem-solvingrole of family communication and problem-solving skillssocioeconomic hardship and mental health outcomesstatistical associations between ACEs and mental health issuesstatistical associations between childhood adversity and mental health
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