Evidence map›Paper›PMID 34014433›Full record

ArticleThe journal of primary prevention2021

Predictors of Attendance Patterns in a Universal Family-Based Preventive Intervention Program.

Emily J LoBraico, Gregory M Fosco, Mark E Feinberg, Richard L Spoth, Cleve Redmond, Bethany C Bray

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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 · 2026
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emily J LoBraicoHuman Development and Family Studies, Pennsylvania State University, 115 Health and Human Development Building, University Park, PA, 16802, USA. eql5177@psu.edu.ORCID 0000-0003-3304-2605
Gregory M FoscoHuman Development and Family Studies, Pennsylvania State University, 115 Health and Human Development Building, University Park, PA, 16802, USA.
Mark E FeinbergPrevention Research Center, Pennsylvania State University, University Park, PA, USA.
Richard L SpothPartnerships in Prevention Science Institute, Iowa State University, Ames, IA, USA.
Cleve RedmondPartnerships in Prevention Science Institute, Iowa State University, Ames, IA, USA.
Bethany C BrayCenter for Dissemination and Implementation Science, University of Illinois at Chicago, Chicago, IL, USA.

Funding

Partnership Model for Diffusion of Proven PreventionR01DA013709 · NIDA · IOWA STATE UNIVERSITY · PI SPOTH, RICHARD · 2002 to 2017
$35.0M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
Pathways to Health from Adolescence through Young AdulthoodR01HD092439 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI FEINBERG, MARK ETHAN, FOSCO, GREGORY M · 2017 to 2022
$3.1M
Understanding for Whom Family-Based Substance Use Prevention Programs Work Best: A Person-Centered ApproachF31DA048522 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LOBRAICO, EMILY · 2019 to 2020
$63k
NICHD NIH HHS R01 HD092439NIDA NIH HHS F31 DA048522NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA013709NIDA NIH HHS T32 DA017629
6 · The paper itself

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.

Indexed as

Object AttachmentParentsAdolescentChildHumansPeer GroupSchoolsSurveys and QuestionnairesAttendanceBarriersFamily-based programLatent class analysisMotivations

Identifiers

PMID34014433
PMCPMC8387364

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.