Evidence map›Paper›PMID 31288121›Full record

ArticleJournal of adolescence2019

Profiles of individual assets and mental health symptoms in at-risk early adolescents.

Meeyoung O Min, Dalhee Yoon, Sonia Minnes, Ty Ridenour, Lynn T Singer

Abstract read
In one paragraph

Article in Journal of adolescence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Internal assets in low-income urban adolescents from 12 to 17 years: Gender variation.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
    Article
  2. Article
  3. Article
  4. Co-occurrence of Psychopathology Problems in At-Risk Adolescents.Journal of psychopathology and behavioral assessment · 2022
    Article
  5. Article
  6. Article
  7. 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

5 authors.

Meeyoung O MinThe University of Utah, College of Social Work, USA. Electronic address: meeyoung.min@case.edu.
Dalhee YoonBinghamton University-State University of New York, Department of Social Work, USA.
Sonia MinnesCase Western Reserve University, Jack, Joseph and Morton Mandel School of Applied Social Sciences, USA.
Ty RidenourResearch Triangle Institute International, USA.
Lynn T SingerCase Western Reserve University, School of Medicine, Department of Population and Quantitative Health Sciences, Psychiatry & Pediatrics, USA.

Funding

The Effects of Prenatal Cocaine Exposure in Emerging AdulthoodR01DA007957 · NIDA · CASE WESTERN RESERVE UNIVERSITY · PI MINNES, SONIA · 1994 to 2018
$14.1M
Gender and Developmental Trajectories to Adolescent Substance Use and Sexual Risk BehaviorR01DA042747 · NIDA · UNIVERSITY OF UTAH · PI MIN, MEEYOUNG OH · 2017 to 2019
$839k
NIDA NIH HHS R01 DA007957NIDA NIH HHS R01 DA042747
6 · The paper itself

Abstract

introductionFew studies investigated the combined patterns of individual assets (e.g., social competence, positive identity) and mental health symptoms (MHS) in adolescents. This study examined the patterns of early adolescents' individual assets and MHS and whether identified patterns were associated with later adolescents' outcomes.

methodsParticipants were 352 (164 boys, 188 girls) adolescents who were primarily African-American and from low socioeconomic status families, participating in a prospective study of the effects of prenatal cocaine exposure from birth in the Midwest United States. Individual assets, using the Developmental Assets Profile, and MHS, using the Youth Self-Report, were assessed at age 12. Substance use, via self-report and biologic assays, early (before age 15) sexual behaviors, and behavioral adjustment were assessed at age 15.

resultsLatent profile analysis indicated four distinctive profiles: low assets with elevated MHS (P1, n = 54, 15.3%); adequate assets with thought and social problems (P2, n = 84, 23.9%); low assets without MHS (P3, n = 101, 28.7%); and high assets without MHS (P4, n = 113, 32.1%). Children in the profile with high assets without MHS (P4) were more likely to have a higher IQ and to be in a more optimal environment (higher parental monitoring and less family conflict) than those in other profiles. Although profiles with MHS were associated with adolescent risk behaviors, this relationship was more pronounced for girls than for boys.

conclusionsGirls in the low assets with elevated MHS (P1) should be a primary concern for preventive intervention. Our study demonstrates the heterogeneity of individual patterns of adaptation and maladaptation.

Indexed as

Self ConceptSocial SkillsAdolescentAdolescent BehaviorBlack or African AmericanFemaleHumansMaleMental DisordersPregnancyPrenatal Exposure Delayed EffectsProspective StudiesPsychology, AdolescentSelf ReportSex DistributionSexual BehaviorAdolescentsGenderIndividual assetsLatent profile analysisMental health symptoms

Identifiers

PMID31288121
PMCPMC6699914

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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.