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Cited by 170Child and Adolescent Psychosocial and Emotional DevelopmentMental Health Research TopicsMental Health Treatment and Access

Continuity of psychopathology in a community sample of adolescents

ORVASCHEL, HELEN, LEWINSOHN, PETER M., SEELEY, JOHN R.·1995·Journal of the American Academy of Child & Adolescent Psychiatry
DOI 10.1097/00004583-199511000-00020
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Abstract

Objective To examine the continuity between the primary (first) diagnosis and secondary (second) diagnosis of those adolescents who have more than one episode of psychiatric disorder. Data were examined to determine whether the second episode "breeds true" (i.e., remains within the same diagnostic category as the first) or involves a different disorder.Method The sample consisted of 236 youngsters selected from the larger (n = 1,507) population of adolescents (aged 14 through 18 years) from the Oregon Adolescent Depression Project who had been assessed on two occasions, approximately 1 year apart.Results Results support the continuity hypothesis for the categories of disorder studied (major depression, anxiety, disruptive, substance use), with the exception of dysthymia. Primary dysthymia did not result in the diagnosis of secondary dysthymia, because most adolescents who had dysthymia had not recovered within the time frame of the study and were chronic cases, often with secondary anxiety. Also presented are data on age of onset of disorder (lowest for anxiety and highest for substance use) and information on remission intervals between episodes (well time) (lowest for substance use and highest for anxiety).Conclusions The findings are interpreted as providing support for the "breed true" hypothesis, although clearly not all second episodes are identical with the first. While the psychosocial factors examined did not predict the nature of the second disorder, this clearly needs further study.

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Crossref · 10.1097/00004583-199511000-00020

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  • Children with a history of anxiety may be at increased risk for developing depressive disorders in adolescence compared to children without a history of anxiety.

    “children with a history of anxiety, who may be at increased risk for developing depressive disorders in adolescence compared to children without a history of anxiety (Brady and Kendall, 1992; Orvaschel et al., 1995; Cummings et al., 2014)”

    From Neural Activation to Parental Praise Interacts With Social Context to Predict Adolescent Depressive Symptoms (2019) · cites this paper as Orvaschel et al., 1995

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Authors
ORVASCHEL, H., LEWINSOHN, P. M., & SEELEY, J. R.
Affiliations
Oregon Research Institute (US)
Corresponding author
ORVASCHEL, HELEN
ORCID
SEELEY, JOHN R.
Venue
Journal of the American Academy of Child & Adolescent Psychiatry
Publisher
Elsevier BV
Published
1995-11
Volume
34
Issue
11
Pages
1525-1535
ISSN
0890-8567 (ISSN-L)
DOI
10.1097/00004583-199511000-00020
OpenAlex
W2082544801
Cited by
169
References
38
Citations by year
2024: 1 · 2023: 1 · 2022: 4 · 2021: 1 · 2019: 5 · 2018: 4 · 2017: 5 · 2016: 2 · 2015: 4 · 2014: 8 · 2013: 12 · 2012: 6
FWCI
4.50
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (R01MH040501, MH40501, MH 50522, R01MH050522)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
continuity hypothesis, adolescent psychopathology, comorbidities, major depressive disorder, dysthymia, anxiety disorders, disruptive behavior disorders, substance use disorders, age of onset
MeSH terms
Adolescent, Mental Disorders, Family, Female, Humans, Longitudinal Studies, Male, Psychiatric Status Rating Scales, Rural Population, Self Concept, Severity of Illness Index, Sex Factors, Social Class, Social Support, Urban Population, Cohort Studies, Prevalence, Age of Onset

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