Developmental pathways from child maltreatment to adolescent pregnancy: A multiple mediational model.

Adolescent pregnancy (AP) is a significant public health issue. Child maltreatment (CM) represents an established risk factor, yet little is known about the explanatory mechanisms linking the phenomena. Informed by developmental theory, this study prospectively tested seven multi-level, indirect pathways that could plausibly explain the relationship between CM and AP: (1) substance use (polysubstance use and frequency); (2) sexual risk behavior; (3) depressive symptoms; (4) posttraumatic stress disorder symptoms; (5) cognitive dysregulation; (6) pregnancy desire and difficulty expectancies; and (7) age at menarche. Data came from a prospective, longitudinal cohort study of 469 ethnically diverse, nulliparous adolescent females, designed to examine the impact of substantiated CM on reproductive outcomes such as pregnancy and childbirth (265 maltreated and 204 demographically matched comparison adolescents). A multiple-mediator structural equation model was conducted to simultaneously test multiple indirect effects while accounting for confounding variables. Maltreatment had an indirect effect on pregnancy via substance use and higher pregnancy desire/lower perceived difficulty. Findings represent a step towards elucidating pathways linking CM with AP. Recommendations are offered to prevent pregnancy by addressing the pregnancy-specific mechanisms that are part of the maltreatment sequelae.

Understanding posttraumatic stress trajectories in adolescent females: A strength-based machine learning approach examining risk and protective factors including online behaviors.

Heterogeneity in the course of posttraumatic stress symptoms (PTSS) following a major life trauma such as childhood sexual abuse (CSA) can be attributed to numerous contextual factors, psychosocial risk, and family/peer support. The present study investigates a comprehensive set of baseline psychosocial risk and protective factors including online behaviors predicting empirically derived PTSS trajectories over time. Females aged 12-16 years (N = 440); 156 with substantiated CSA; 284 matched comparisons with various self-reported potentially traumatic events (PTEs) were assessed at baseline and then annually for 2 subsequent years. Latent growth mixture modeling (LGMM) was used to derive PTSS trajectories, and least absolute shrinkage and selection operator (LASSO) logistic regression was used to investigate psychosocial predictors including online behaviors of trajectories. LGMM revealed four PTSS trajectories: resilient (52.1%), emerging (9.3%), recovering (19.3%), and chronic (19.4%). Of the 23 predictors considered, nine were retained in the LASSO model discriminating resilient versus chronic trajectories including the absence of CSA and other PTEs, low incidences of exposure to sexual content online, minority ethnicity status, and the presence of additional psychosocial protective factors. Results provide insights into possible intervention targets to promote resilience in adolescence following PTEs.

Parenting, emotion regulation, and externalizing symptomatology as adolescent antecedents to young adult health risk behaviors.

This study used longitudinal data to elucidate how trajectories of negative parenting across adolescence are associated with young adult health risk behaviors (HRBs) by testing difficulties with emotion regulation and externalizing symptomatology as sequential underlying mediators. The sample included 167 adolescents (53% males, Mage  = 14 at Time 1 and Mage  = 18 at Time 5) who were assessed five times. Adolescents self-reported on negative parenting, emotion regulation, externalizing symptomatology, and engagement in HRBs. Results suggest that increasingly negative parenting across adolescence has adverse consequences for emotion regulation development and in turn, externalizing symptomatology, which confers risk for young adult HRBs. Results offer insights towards mechanisms for prevention and intervention and public health policy aimed at reducing the prevalence and consequences of engagement in HRBs.

Applying an Implementation Framework to the Dissemination of a School-Based Child Sexual Abuse Prevention Program.

Since the 1980s, school-based child sexual abuse (CSA) prevention programs have been the prevailing prevention strategy in the United States. Despite demonstrated effectiveness, there is a lack of infrastructure and educational policy ensuring all students receive these programs. A pragmatic application of the RE-AIM implementation framework, this study provides an overview of a multi-county implementation effort of the school-based CSA prevention program, Safe Touches. Implementation efforts across five counties in a Mid-Atlantic state are described at three levels: organizational (school districts), child, and program facilitator. Children's CSA-related knowledge was measured at four time points: pre-workshop, immediately post-workshop, and then 6 and 12 months post-workshop. Facilitators completed an anonymous survey post-implementation. Over the course of one and a half academic years, Safe Touches was implemented in 718 public school districts, reaching in total 14,235 second-grade students. Students' significantly increased knowledge from pre- to post-workshop and gains were maintained at 6 and 12 months (ps <.001). A total of 29 disclosures of maltreatment were made by students to facilitators during or after the workshop. Facilitators generally adopted Safe Touches and attested to the feasibility and benefits of its large-scale implementation as well as the negligible negative impacts for children. When implemented systematically, school-based CSA prevention is able to reach a high number of students, effectively increase CSA-related knowledge, and facilitates disclosures. To maximize the potential public health impact, it is suggested that state funds be allocated to support the implementation of such programs as part of standard education costs.

Knowledge Gains from the Implementation of a Child Sexual Abuse Prevention Program and the Future of School-Based Prevention Education.

School-based child sexual abuse (CSA) programs effectively increase students' CSA-related knowledge. This study focuses on an implementation trial of Safe Touches, an empirically supported, school-based CSA prevention program, that was disrupted by the COVID-19 pandemic. We sought to demonstrate gains in CSA-related knowledge following Safe Touches but were limited to a pre-post design. A total of 2,210 students across five counties in a Mid-Atlantic state received the Safe Touches workshop between September 2019 and March 2020. McNemar's chi-square test was used to assess changes in the proportion of correct responses pre-workshop (Time 1) and one-week post-workshop (Time 2). Students' CSA-related knowledge increased significantly based on changes in mean CSA knowledge scores and the number of correct item-level responses assessed at Time 1 and Time 2 (p < .000). Leveraging the experience of the facilitators' who delivered these workshops prior to the disruption of implementation, we gathered facilitators' perspectives to explore the viability of offering Safe Touches virtually. In July 2020, 16 facilitators completed an electronic survey designed to understand the viability of a virtual Safe Touches workshop. Three themes emerged from facilitator feedback on virtual programming: student engagement concerns, handling disclosures, and technology access to a virtual program. The findings of this study indicate that the Safe Touches workshop significantly increased CSA-related knowledge and, overall, facilitators supported further exploration and development of a virtual Safe Touches workshop. The transition of empirically supported school-based CSA prevention programs to a virtual delivery modality is necessary to maintain an effective means of primary prevention and opportunity for disclosure.

Taking a School-Based Child Sexual Abuse Prevention Program to Scale: a Cost Analysis.

Cost analyses are used to determine overall costs of implementing evidence-based programming and may help decision makers determine how best to allocate finite resources. Child sexual abuse (CSA), regularly viewed as a human rights violation, is also a public health concern estimated to impact 27% of females and 5% of males by age 18. Universal, school-based CSA programs are one prevailing prevention strategy. However, there are no known cost analyses of school-based CSA prevention programming, thereby limiting potential scalability. Using the ingredients method, this cost analysis presents the findings of implementing Safe Touches, an evidence-based universal prevention program, across four sites (i.e., counties) in one mid-Atlantic state. Reaching a total of 14,235 s grade students, results indicate an average cost of $43 per student, an average classroom cost of $859, an average district cost of $10,637, and an average site cost of $154,243. There was a noted decrease in costs when more students were reached, suggesting a need to focus efforts on bolstering the reach of implementation efforts. Sensitivity analyses explored variations in implementation constraints such as personnel and facilities suggesting a range of per-student costs (lower-bound per-student cost = $34; upper-bound per-student cost = $64). Findings presented herein may be used to inform future universal CSA prevention efforts by providing detailed information about the costs of large-scale implementation of an evidence-based program among elementary-aged children.

Virtual Delivery of A School-Based Child Sexual Abuse Prevention Program: A Pilot Study.

Universal child sexual abuse (CSA) prevention is a public health priority. The prevailing prevention strategy is school-based CSA prevention programming. School closures during the COVID-19 pandemic highlighted the need for flexible modes of delivery, including virtual programs. This pilot examined the virtual delivery of an evidence-based, school-based CSA prevention program, Safe Touches, designed to teach CSA-related knowledge and concepts. Using mixed methods, the pilot sought to determine the feasibility of the virtually delivered CSA prevention program. One school district that had previously received Safe Touches in-person participated. A total of 176 second grade students participated in the virtual workshop. Post-workshop survey responses from virtual (N = 37) and in-person workshops (N = 60) were compared descriptively. Mean item scores and response patterns from students who received the virtual workshop were nominally comparable to the student scores from the in-person workshop. Following the virtual workshop, one teacher notified the research team of a disclosure of CSA. Qualitative input from the facilitator and school staff was positive, indicating high student engagement. Results suggest the viability and feasibility of virtual school-based CSA preventive programs. Investment in virtual modes of delivery would ensure all students have access to CSA prevention programming in the future.

Child Sexual Abuse as a Unique Risk Factor for the Development of Psychopathology: The Compounded Convergence of Mechanisms.

Meta-analytic, population cohort, prospective, and clinical studies provide systematic evidence that child sexual abuse accounts for unique variation in several deleterious outcomes. There is strong evidence for psychiatric disorders, including posttraumatic stress disorder and mood, anxiety, and substance use disorders, and mixed evidence for personality disorders. Evaluation of sex-specific outcomes shows strong evidence for teenage childbearing, sexual revictimization, and sexual dysfunction and mixed evidence for heightened sexual behaviors and sexual offending. This review further demonstrates not only that survivors suffer the noxious impact of traumatic sexualization but that additional transdiagnostic mechanisms, including the biological embedding of stress, emotion dysregulation, avoidance, and insecure attachment, converge to compound risk for deleterious outcomes. A road map to enhance the rigor of future research is outlined, and specific recommendations for evidence-based policy making to boost prevention efforts and increase access to treatment are discussed.

Assembling a cohort for in-depth, longitudinal assessments of the biological embedding of child maltreatment: Methods, complexities, and lessons learned.

As championed by the work of Ed Zigler, investing in nurturing environments for all children is a chief tenet of primary prevention that will have far-reaching benefits to the health and welfare of all members of society. Children who endure child maltreatment (CM) are among society's most vulnerable. Prospective longitudinal research aimed at a comprehensive understanding of the mechanisms linking CM to subsequent adverse health consequences is needed to improve outcomes and to strengthen causal inference. This paper outlines the methods of the Child Health Study (CHS), a large, state-wide longitudinal cohort of recently maltreated and nonmaltreated youth aged 8-13 who will be assessed every 2 years. The CHS is designed to include in-depth assessments of multiple environmental, behavioral, neural, physiological, and molecular mechanisms through which CM may impact a broad spectrum of youth development, including behavioral and physical health outcomes. In addition to describing the conceptual framework and methods underlying the CHS, we provide information on valuable "lessons learned" in the hopes of supporting future research efforts facing similar challenges. The ultimate goal of this research is demonstrating how policies regarding CM impact the well-being, resilience and recovery of survivors and that they are worthy of large public investment.

Is Sexual Abuse a Unique Predictor of Sexual Risk Behaviors, Pregnancy, and Motherhood in Adolescence?

This study tested sexual abuse as a unique predictor of subsequent adolescent sexual behaviors, pregnancy, and motherhood when in company with other types of maltreatment (physical abuse, neglect) and alternative behavioral, family, and contextual risk factors in a prospective, longitudinal study of maltreated (n = 275) and comparison (n = 239) nulliparous females aged 14-19 years old assessed annually through 19 years old. Hierarchical regression was used to disentangle risk factors that account for the associations of maltreatment type on risky sexual behaviors at 19 years old, adolescent pregnancy, and adolescent motherhood. Findings indicate that sexual and physical abuse remain significant predictors of risky sexual behaviors, and that sexual abuse remains a significant predictor of adolescent motherhood when alternative explanatory variables are controlled.

Online Sexual Experiences Predict Subsequent Sexual Health and Victimization Outcomes Among Female Adolescents: A Latent Class Analysis.

Adolescents' online sexual experiences (e.g., pornography use, sexual chatting, sexualized social media use, and nude image exchange) provide a new context for sexual socialization. Traditionally, online sexual experiences are often aggregated averages, which neglect their complexity and fail to identify individual differences in the experience. Moreover, the lack of longitudinal research in this area has failed to determine if these experiences predict later offline sexual health and violence outcomes. An analysis of two waves of surveys completed by ethnically and socioeconomically diverse female adolescents (N = 296; 49% maltreated; aged 14-16 years) participating in a larger cross-sequential study was conducted to address these gaps. Established latent classes from the prerequisite study of online sexual experiences at Time 1 were Online Abstinent (low probability of any online sexual experiences), Online Inclusive (high probability of all online sexual experiences), Attractors (high probability of attracting attention from others), and Seekers (high probability of seeking out sexual content and interaction). Class membership uniquely predicted HIV risk, number of physically violent romantic partners, and the occurrence of sexual assault at Time 2. Although membership in risker online sexual experience classes predicted later offline risk and victimization, this was especially true for maltreated participants. These findings demonstrate the advantages of examining online sexual experiences in a way that emphasizes their complexity and individual differences in influential susceptibility.

A Latent Class Analysis of Online Sexual Experiences and Offline Sexual Behaviors Among Female Adolescents.

This study used latent class analysis to identify patterns (i.e., classes) across a broad range of online sexual experiences among female adolescents (n = 312) and to explore offline sexual behavior and substance use correlates of as well as maltreatment differences in class membership. The following four classes were identified: Online Abstinent, Online Inclusive, Attractors, and Seekers. Maltreated female adolescents were more likely to be members of the Online Inclusive class and less likely to be members of the Online Abstinent class than nonmaltreated female adolescents. Offline sexual behaviors and substance use differentially predicted class membership. These results suggest online sexual experiences vary greatly and should not be aggregated together as a global risk factor for all female adolescents.

Contamination in the Prospective Study of Child Maltreatment and Female Adolescent Health.

OBJECTIVE: To evaluate the impact of contamination, or the presence of child maltreatment in a comparison condition, when estimating the broad, longitudinal effects of child maltreatment on female health at the transition to adulthood. METHODS: The Female Adolescent Development Study (N = 514; age range: 14-19 years) used a prospective cohort design to examine the effects of substantiated child maltreatment on teenage births, obesity, major depression, and past-month cigarette use. Contamination was controlled via a multimethod strategy that used both adolescent self-report and Child Protective Services records to remove cases of child maltreatment from the comparison condition. RESULTS: Substantiated child maltreatment significantly predicted each outcome, relative risks = 1.47-2.95, 95% confidence intervals: 1.03-7.06, with increases in corresponding effect size magnitudes, only when contamination was controlled using the multimethod strategy. CONCLUSIONS: Contamination truncates risk estimates of child maltreatment and controlling it can strengthen overall conclusions about the effects of child maltreatment on female health.

Child Maltreatment and the Adolescent Patient With Severe Obesity: Implications for Clinical Care.

OBJECTIVE: To characterize prevalence and correlates of child maltreatment (CM) in a clinical sample of adolescents with severe obesity. METHOD: Multicenter baseline data from 139 adolescents undergoing weight loss surgery (Mage = 16.9; 79.9% female, 66.2% White; Mbody mass index [BMI] = 51.5 kg/m(2)) and 83 nonsurgical comparisons (Mage = 16.1; 81.9% female, 54.2% White; MBMI = 46.9 kg/m(2)) documented self-reported CM (Childhood Trauma Questionnaire) and associations with psychopathology, quality of life, self-esteem and body image, high-risk behaviors, and family dysfunction. RESULTS: CM prevalence (females: 29%; males: 12%) was similar to national adolescent base rates. Emotional abuse was most prevalent. One in 10 females reported sexual abuse. For females, CM rates were higher in comparisons, yet correlates were similar for both cohorts: greater psychopathology, substance use, and family dysfunction, and lower quality of life. CONCLUSION: While a minority of adolescents with severe obesity reported a CM history, they carry greater psychosocial burden into the clinical setting.

A longitudinal study of several potential mediators of the relationship between child maltreatment and posttraumatic stress disorder symptoms.

Child maltreatment is a reliable predictor of posttraumatic stress disorder (PTSD) symptoms. However, not all maltreated children develop PTSD symptoms, suggesting that additional mediating variables explain how certain maltreated children develop PTSD symptoms and others do not. The current study tested three potential mediators of the relationship between child maltreatment and subsequent PTSD symptoms: (a) respiratory sinus arrhythmia reactivity, (b) cortisol reactivity, and (c) experiential avoidance, or the unwillingness to experience painful private events, such as thoughts and memories. Maltreated (n = 51) and nonmaltreated groups (n = 59) completed a stressor paradigm, a measure of experiential avoidance, and a semistructured interview of PTSD symptoms. One year later, participants were readministered the PTSD symptoms interview. Results of a multiple mediator model showed the set of potential mediators mediated the relationship between child maltreatment and subsequent PTSD symptoms. However, experiential avoidance was the only significant, specific indirect effect, demonstrating that maltreated children avoiding painful private events after the abuse were more likely to develop a range of PTSD symptoms 1 year later. These results highlight the importance of experiential avoidance in the development of PTSD symptoms for maltreated children, and implications for secondary prevention and clinical intervention models are discussed.

Longitudinal method comparison: modeling polygenic risk for post-traumatic stress disorder over time in individuals of African and European ancestry.

Cross-sectional data allow the investigation of how genetics influence health at a single time point, but to understand how the genome impacts phenotype development, one must use repeated measures data. Ignoring the dependency inherent in repeated measures can exacerbate false positives and requires the utilization of methods other than general or generalized linear models. Many methods can accommodate longitudinal data, including the commonly used linear mixed model and generalized estimating equation, as well as the less popular fixed-effects model, cluster-robust standard error adjustment, and aggregate regression. We simulated longitudinal data and applied these five methods alongside naïve linear regression, which ignored the dependency and served as a baseline, to compare their power, false positive rate, estimation accuracy, and precision. The results showed that the naïve linear regression and fixed-effects models incurred high false positive rates when analyzing a predictor that is fixed over time, making them unviable for studying time-invariant genetic effects. The linear mixed models maintained low false positive rates and unbiased estimation. The generalized estimating equation was similar to the former in terms of power and estimation, but it had increased false positives when the sample size was low, as did cluster-robust standard error adjustment. Aggregate regression produced biased estimates when predictor effects varied over time. To show how the method choice affects downstream results, we performed longitudinal analyses in an adolescent cohort of African and European ancestry. We examined how developing post-traumatic stress symptoms were predicted by polygenic risk, traumatic events, exposure to sexual abuse, and income using four approaches-linear mixed models, generalized estimating equations, cluster-robust standard error adjustment, and aggregate regression. While the directions of effect were generally consistent, coefficient magnitudes and statistical significance differed across methods. Our in-depth comparison of longitudinal methods showed that linear mixed models and generalized estimating equations were applicable in most scenarios requiring longitudinal modeling, but no approach produced identical results even if fit to the same data. Since result discrepancies can result from methodological choices, it is crucial that researchers determine their model a priori, refrain from testing multiple approaches to obtain favorable results, and utilize as similar as possible methods when seeking to replicate results.

Cross-tissue comparison of telomere length and quality metrics of DNA among individuals aged 8 to 70 years.

Telomere length (TL) is an important biomarker of cellular aging, yet its links with health outcomes may be complicated by use of different tissues. We evaluated within- and between-individual variability in TL and quality metrics of DNA across five tissues using a cross-sectional dataset ranging from 8 to 70 years (N = 197). DNA was extracted from all tissue cells using the Gentra Puregene DNA Extraction Kit. Absolute TL (aTL) in kilobase pairs was measured in buccal epithelial cells, saliva, dried blood spots (DBS), buffy coat, and peripheral blood mononuclear cells (PBMCs) using qPCR. aTL significantly shortened with age for all tissues except saliva and buffy coat, although buffy coat was available for a restricted age range (8 to 15 years). aTL did not significantly differ across blood-based tissues (DBS, buffy coat, PBMC), which had significantly longer aTL than buccal cells and saliva. Additionally, aTL was significantly correlated for the majority of tissue pairs, with partial Spearman's correlations controlling for age and sex ranging from ⍴ = 0.18 to 0.51. We also measured quality metrics of DNA including integrity, purity, and quantity of extracted DNA from all tissues and explored whether controlling for DNA metrics improved predictions of aTL. We found significant tissue variation: DNA from blood-based tissues had high DNA integrity, more acceptable A260/280 and A260/230 values, and greater extracted DNA concentrations compared to buccal cells and saliva. Longer aTL was associated with lower DNA integrity, higher extracted DNA concentrations, and higher A260/230, particularly for saliva. Model comparisons suggested that incorporation of quality DNA metrics improves models of TL, although relevant metrics vary by tissue. These findings highlight the merits of using blood-based tissues and suggest that incorporation of quality DNA metrics as control variables in population-based studies can improve TL predictions, especially for more variable tissues like buccal and saliva.

The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth.

Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized ß = 0.112 (SE 0.008), standardized ß [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized ß = 0.195 (SE 0.008), standardized ß = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized ß = 0.189 (SE 0.014), standardized ß = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.364 (SE 0.015), standardized ß = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized ß = 0.122 (SE 0.014), standardized ß = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.217 (SE 0.015), standardized ß = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.

Predicting the accuracy of facial affect recognition: the interaction of child maltreatment and intellectual functioning.

Previous research demonstrates that both child maltreatment and intellectual performance contribute uniquely to the accurate identification of facial affect by children and adolescents. The purpose of this study was to extend this research by examining whether child maltreatment affects the accuracy of facial recognition differently at varying levels of intellectual functioning. A sample of maltreated (n=50) and nonmaltreated (n=56) adolescent females, 14 to 19 years of age, was recruited to participate in this study. Participants completed demographic and study-related questionnaires and interviews to control for potential psychological and psychiatric confounds such as symptoms of posttraumatic stress disorder, negative affect, and difficulties in emotion regulation. Participants also completed an experimental paradigm that recorded responses to facial affect displays starting in a neutral expression and changing into a full expression of one of six emotions: happiness, sadness, anger, disgust, fear, or surprise. Hierarchical multiple regression assessed the incremental advantage of evaluating the interaction between child maltreatment and intellectual functioning. Results indicated that the interaction term accounted for a significant amount of additional variance in the accurate identification of facial affect after controlling for relevant covariates and main effects. Specifically, maltreated females with lower levels of intellectual functioning were least accurate in identifying facial affect displays, whereas those with higher levels of intellectual functioning performed as well as nonmaltreated females. These results suggest that maltreatment and intellectual functioning interact to predict the recognition of facial affect, with potential long-term consequences for the interpersonal functioning of maltreated females.

Implementation of a Universal School-Based Child Sexual Abuse Prevention Program: A Longitudinal Cohort Study.

Child sexual abuse (CSA) is a public health problem of considerable magnitude. The prevailing primary prevention strategies are universal, school-based CSA prevention programs, some of which have been designated as evidence-based, such as Safe Touches. However, to reach their public health impact potential, effective universal school-based CSA prevention programs require effective and efficient dissemination and implementation strategies. The purpose of this study was to demonstrate the reach and effectiveness of a school-based CSA prevention curriculum, Safe Touches, when implemented on a wide scale. Using a longitudinal cohort design, children in second grade classrooms in public elementary schools in five counties received the Safe Touches workshop and completed surveys designed to assess gains in knowledge at four timepoints (one week prior, immediately post-workshop, 6- and 12-months post-workshop). In total, the Safe Touches workshop was delivered in 718 classrooms in 92% of school districts, reaching ~14,235 second graders. Multilevel models (n = 3,673) revealed that Safe Touches significantly increased CSA-related knowledge, and that these gains were maintained 12-months post-workshop (ps < .001). There were some small but significant time-varying effects among participants in schools with a greater percentage of low income and minority students, but these effects largely disappeared 12-months post workshop. This study demonstrates that a single-session, universal school-based CSA prevention program can effectively increase children's knowledge when implemented and disseminated on a wide scale and knowledge gains can be retained 12-months post intervention.