Evidence map›Paper›PMID 28972269›Full record

ArticleJournal of marital and family therapy2018

The Effects of a Family Systems Intervention on Co-Occurring Internalizing and Externalizing Behaviors of Children with Substance Abusing Mothers: A Latent Transition Analysis.

Jing Zhang, Natasha Slesnick

Open access · greenAbstract read
In one paragraph

Article in Journal of marital and family therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Jing ZhangThe Ohio State University.
Natasha SlesnickThe Ohio State University.
The Ohio State University · US

Funding

Adolescent Involvement in Parental Substance Abuse Treatment: Evaluation of EBFTR01DA023062 · NIDA · OHIO STATE UNIVERSITY · PI SLESNICK, NATASHA · 2009 to 2013
$2.9M
NIDA NIH HHS R01 DA023062
6 · The paper itself

Abstract

Children of substance abusing parents are at heightened risk to develop problem behaviors, yet little is known about the co-occurring patterns of internalizing and externalizing behaviors among this population. With 183 children (M age = 11.54 years, SD = 2.55, range 8-16) whose mothers were diagnosed with a substance use disorder, the current study identified subgroups/classes of children that were clinically distinct in their co-occurring patterns of internalizing and externalizing behaviors, and examined how children in different clinical subgroups responded to a family systems intervention. Latent class analyses identified four classes of internalizing and externalizing behaviors: internalizing only, externalizing only, comorbid, and normative. Latent transition analyses showed that participation in family systems therapy resulted in an increased likelihood of transitioning from the externalizing class at baseline to the normative class at 18 months post-baseline, and from the comorbid class at baseline to the internalizing class at 18 months post-baseline as well. The findings support the effectiveness of family systems therapy in interrupting the stability of children's problem behaviors and improving children's behavioral outcomes.

Indexed as

Outcome Assessment, Health CareAdolescentAdolescent BehaviorAdultChildChild BehaviorChild of Impaired ParentsFamily TherapyFemaleHumansMaleMothersProblem BehaviorSubstance-Related Disorders

Identifiers

PMID28972269
PMCPMC10390823
OpenAlexW2761971881

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.