Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 1,083

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The Great Smoky Mountains Study of Youth: Goals, Design, Methods, and the Prevalence of DSM-III-R Disorders

Costello, E. Jane·1996·Archives of General Psychiatry
DOI 10.1001/archpsyc.1996.01830120067012
Open this paper in CoChat — free account

Abstract

BACKGROUND: The Great Smoky Mountains Study of youth focuses on the relationship between the development of psychiatric disorder and the need for and use of mental health services. METHODS: A multistage, overlapping cohorts design was used, in which 4500 of the 11758 children aged 9, 11, and 13 years in an 11-county area of the southeastern United States were randomly selected for screening for psychiatric symptoms. Children who scored in the top 25% on the screening questionnaire, together with a 1 in 10 random sample of the rest, were recruited for 4 waves of intensive, annual interviews (n = 1015 at wave 1). In a parallel study, all American Indian children aged 9, 11, and 13 years were recruited (N = 323 at wave 1). RESULTS: The 3-month prevalence (+/-SE) of any DSM-III-R axis I disorder in the main sample, weighted to reflect population prevalence rates, was 20.3% +/- 1.7%. The most common diagnoses were anxiety disorders (5.7% +/- 1.0%), enuresis (5.1% +/- 1.0%), tic disorders (4.2% +/- 0.9%), conduct disorder (3.3% +/- 0.6%), oppositional defiant disorder (2.7% +/- 0.4%), and hyperactivity (1.9% +/- 0.4%). CONCLUSIONS: The prevalence of psychiatric disorder in this rural sample was similar to rates reported in other recent studies. Poverty was the strongest demographic correlate of diagnosis, in both urban and rural children.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/archpsyc.1996.01830120067012

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

Metadata

Authors
Costello, E. J.
Venue
Archives of General Psychiatry
Publisher
American Medical Association (AMA)
Published
1996-12-01
Volume
53
Issue
12
Pages
1129
ISSN
0003-990X (ISSN-L)
DOI
10.1001/archpsyc.1996.01830120067012
OpenAlex
W2138942870
Cited by
1,083
References
5
FWCI
31.19
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.