Cited by 38Mental Health Research TopicsPsychometric Methodologies and TestingChild and Adolescent Psychosocial and Emotional Development

The DOI matches its Crossref record; 92 of the 93 references it cites were found in a registry or an index.

The dimensionality and latent structure of mental health difficulties and wellbeing in early adolescence.

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Abstract

Research with adults and older adolescents suggests a general factor may underlie both mental health difficulties and wellbeing. However, the classical bifactor model commonly used to demonstrate this general trait has recently been criticised when a unidimensional structure is not supported. Furthermore, research is lacking in this area with children and early adolescents. We present confirmatory factor analysis models to explore the structure of psychopathology and wellbeing in early adolescents, using secondary data from a large U.K. sample (N = 1982). A simple correlated factors structure fitted the data well and revealed that wellbeing was just as related to internalising as this was to externalising symptoms. The classical bifactor solution also fitted the data well but was rejected as the general factor explained only 55% of the total common variance. S-1 models were therefore used to explore general covariance in a more robust way, and revealed that a general internalising distress factor could play an important role in all item responses. Gender and income differences in mental health were also explored through invariance testing and correlations. Our findings demonstrate the importance of considering mental health difficulties and wellbeing items together, and suggestions are made for how their correspondence could be controlled for.

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Crossref · 10.1371/journal.pone.0213018

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  • Youths tend to underutilize mental health services, fearing stigmatization and preferring autonomy, and only a fraction receives adequate treatment.

    “Youths tend to underutilize services, fearing stigmatization and preferring autonomy,18,19,20,21 and only a fraction receives adequate treatment.22,23,24,25”

    From Efficacy of Motivational Interviewing to Improve Utilization of Mental Health Services Among Youths With Chronic Medical Conditions: A Cluster Randomized Clinical Trial (2021) · cites this paper as [19]

    The Introduction discusses adolescent mental health and criticism of diagnoses for their potential to stigmatize, but not stigma as a reason youths avoid services. Searches of our copy for service use, autonomy, and adequate treatment found no passage addressing those claims. (LLM, conf=0.77)

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  1. B Duncan, 2006, Giving Youth a Voice: A Preliminary Study of the Reliability and Validity of a Brief Outcome Measure for Children, Adolescents, and Caretakers, Journal of Brief Therapy, 5, 71

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Metadata

Authors
Black, L., Panayiotou, M., & Humphrey, N.
Affiliations
University of Manchester (GB)
Corresponding author
Black, Louise
Venue
PLoS ONE
Published
2019-02-26
Volume
14
Issue
2
Pages
e0213018
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2915358366
Cited by
38
References
93
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 11 · 2022: 7 · 2021: 4 · 2020: 2
FWCI
3.83
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Big Lottery Fund (R118420)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Keywords
mental illness, well-being, early adolescence, bifactor model, general factor, internalizing problems, externalising symptoms, factor structure, gender differences, income gap, measurement invariance
MeSH terms
Child, Factor Analysis, Statistical, Female, Humans, Income, Male, Mental Health, Psychometrics, Surveys and Questionnaires, Chi-Square Distribution, Sex Distribution

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