ArticleThe journal of primary prevention2021
Predictors of Attendance Patterns in a Universal Family-Based Preventive Intervention Program.
Article in The journal of primary prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Predictors of Child and Caregiver Attendance in a Strengths-Focused, Culturally Grounded, Family-Based Program to Prevent Adverse Childhood Experiences.Prevention science : the official journal of the Society for Prevention Research · 2025Trial
- Factors predicting parent engagement in a family-based childhood obesity prevention and control program.BMC public health · 2023Trial
- The Role of Program Implementation Quality in Family-Focused Substance-Use Prevention for Youth with Multiple Risks: PROSPER Project.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Understanding Who Benefits Most from Family-Based Prevention: Differential Intervention Effects for Families with Low Income.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Enhancing engagement in parenting programs: A comparative study of in-person, online, and telehealth formats.Children and youth services review · 2024Article
- 24-month outcomes of an eHealth universal program for students and parents to prevent adolescent alcohol use: A cluster randomized controlled trial in schools.Internet interventions · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Achieving sustained engagement in family-based preventive intervention programs is a serious challenge faced by program implementers. Despite the evidence supporting the effectiveness and potential population-level impacts for these programs, their actual impact is limited by challenges around retention of participants. In order to inform efforts to better retain families, it is critical to understand the different patterns of attendance that emerge across the duration of program implementation and the factors that are associated with each attendance pattern. In this study, we identified latent classes of attendance patterns across the seven program sessions of the Strengthening Families Program: For Parents and Youth Ages 10-14 (SFP 10-14). Youth and their parents who attended at least one SFP 10-14 program session together were included in the analysis. Four distinct classes emerged: First-Session Attenders (7%), Early Attenders (9%), Declining-High Attenders (18%), and Consistent-High Attenders (66%). An examination of individual, family, and sociodemographic predictors of class membership revealed that adolescent school bonding predicted families having relatively high attendance, adolescent involvement with deviant peers predicted early dropout, and family low-income status predicted early dropout. Findings point to the need for potential targeted strategies for retaining these groups, such as involving school personnel, employing brief interventions to identify and address barriers at the outset, and leveraging the positive influence of Consistent-High Attenders. Findings also shed light on ways to reach those who may continue to drop out early, such as restructuring program content to address critical material early in the program. This study adds to the growing body of literature that seeks to understand for whom, when, and in which ways program dropout occurs.
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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.