ArticlePrevention science : the official journal of the Society for Prevention Research2017
What Doesn't Work for Whom? Exploring Heterogeneity in Responsiveness to the Family Check-Up in Early Childhood Using a Mixture Model Approach.
Article in Prevention science : the official journal of the Society for Prevention Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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The trial behind it
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Who cites it
25 citing papers in PubMed.
- Family Check-Up Online: Effects of a Virtual Randomized Trial on Parent Stress, Parenting, and Child Outcomes in Early Adolescence.Prevention science : the official journal of the Society for Prevention Research · 2026Trial
- Parenting Profiles in Military Families: Intervention-Related Transitions and Relationships to Child Adjustment.Prevention science : the official journal of the Society for Prevention Research · 2024Trial
- Findings from a Randomized Controlled Trial of SMART: An EHealth Intervention for Mild Traumatic Brain Injury.Journal of pediatric psychology · 2023Trial
- Baseline Targeted Moderation in a Trial of the Family Check-Up 4 Health: Potential Explanations for Finding Few Practical Effects.Prevention science : the official journal of the Society for Prevention Research · 2023Trial
- Evaluating the efficacy of the Family Check-Up Online: A school-based, eHealth model for the prevention of problem behavior during the middle school years.Development and psychopathology · 2019Trial
- Predictors of Participation in the Family Check-Up Program: a Randomized Trial of Yearly Services from Age 2 to 10 Years.Prevention science : the official journal of the Society for Prevention Research · 2018Trial
- Effects of the Incredible Years parenting program on sibling conduct problems: A latent transition analysis.JCPP advances · 2025Article
- Integrating equifinality and multifinality into the of prevention programs in early childhood: The conceptual case for use of tiered models.Development and psychopathology · 2024Article
- Article
- Adolescent-onset cannabis use and parenting young children: an investigation of differential effectiveness of a digital parenting intervention.Frontiers in child and adolescent psychiatry · 2024Article
- Policies are Needed to Increase the Reach and Impact of Evidence-Based Parenting Supports: A Call for a Population-Based Approach to Supporting Parents, Children, and Families.Child psychiatry and human development · 2023Article
- Family Functioning in Hispanic Parents of Adolescents: Who Benefits Most from a Family-Based HIV and Substance Use Preventive Intervention?Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Exploring Parenting Profiles to Understand Who Benefits from the Incredible Years Parenting Program.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Examination of promotive and protective effects on early adolescent prosocial behavior through a bioecological lens.Frontiers in psychology · 2023Article
- Secondary Analysis to Inform the Development of Adaptive Preventive Interventions.Clinical child and family psychology review · 2022Article
- Parent and Child Risk Profiles as Predictors of Response to a Conduct Problem Preventive Intervention.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- Reducing Poverty-Related Disparities in Child Development and School Readiness: The Smart Beginnings Tiered Prevention Strategy that Combines Pediatric Primary Care with Home Visiting.Clinical child and family psychology review · 2021Review
- Taking a Motivational Interviewing Approach to Prevention Science: Progress and Extensions.Prevention science : the official journal of the Society for Prevention Research · 2021Article
- The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims.BMC psychiatry · 2020Article
- Supporting Strategic Investment in Social Programs: a Cost Analysis of the Family Check-Up.Prevention science : the official journal of the Society for Prevention Research · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
This study applied latent class analysis to a family-centered prevention trial in early childhood to identify subgroups of families with differential responsiveness to the Family Check-Up (FCU) intervention. The sample included 731 families with 2-year-olds randomized to the FCU or control condition and followed through age 5 with yearly follow-up assessments. A two-step mixture model was used to examine whether specific constellations of family characteristics at age 2 (baseline) were related to intervention response across ages 3, 4, and 5. The first step empirically identified latent classes of families based on several family risk and adjustment variables selected on the basis of previous research. The second step modeled the effect of the FCU on longitudinal change in children's problem behavior in each of the empirically derived latent classes. Results suggested a five-class solution, where a significant intervention effect of moderate to large size was observed in one of the five classes-the class characterized by child neglect, legal problems, and parental mental health issues. Pairwise comparisons revealed that the intervention effect was significantly greater in this class of families than in two other classes that were generally less at risk for the development of child disruptive behavior problems, albeit still low-income. Thus, findings suggest that (a) the FCU is most successful in reducing child problem behavior in more highly distressed, low-income families, and (b) the FCU may have little impact for relatively low-risk, low-income families. Future directions include the development of a brief screening process that can triage low-income families into groups that should be targeted for intervention, redirected to other services, monitored prospectively, or left alone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.