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Prevalence of psychiatric disorders, comorbidity patterns, and repeat offending among male juvenile detainees in South Korea: a cross-sectional study

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

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5 Dimensions

Readers on

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42 Mendeley
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Title
Prevalence of psychiatric disorders, comorbidity patterns, and repeat offending among male juvenile detainees in South Korea: a cross-sectional study
Published in
Child and Adolescent Psychiatry and Mental Health, January 2017
DOI 10.1186/s13034-017-0143-x
Pubmed ID
Authors

Johanna Inhyang Kim, Bongseog Kim, Bung-Nyun Kim, Soon-Beom Hong, Dong Woo Lee, Ju-Young Chung, Ji Young Choi, Bum-Sung Choi, Young-Rim Oh, Miwon Youn

Abstract

High rates of psychiatric disorders and comorbidities have been reported in juvenile detainees, and both phenomena are thought to contribute to repeat offending. However, research on this topic has been limited in Asian countries, like South Korea. The purpose of this study was to examine the prevalence of psychiatric disorders, comorbidity patterns, and the relationship between psychiatric disorders and repeat offending among a cross-section of youths detained in a male juvenile detention center in South Korea. One hundred seventy-three juvenile detainees were recruited. The distribution of psychiatric disorders within the sample was estimated by applying criteria from the Diagnostic and Statistical Manual of Mental Disorders IV. Logistic regression was used to assess significant comorbidity patterns and relationships between psychiatric disorders and repeat offending. In all, 90.8% of the detainees had at least one psychiatric diagnosis, and 75.1% had psychiatric comorbidities. The most common psychiatric disorder was alcohol use disorder, followed by conduct disorder and attention-deficit hyperactivity disorder. Among the comorbidities present, alcohol use disorder with disruptive behavior disorder was the most common combination. The presence of two psychiatric disorders was associated with a higher rate of recidivism, and alcohol use disorder was also associated with repeat offending when combined with disruptive behavior disorders, but not with anxiety disorders, major depression, or psychotic disorders. Juvenile detainees evidence high rates of psychiatric disorders and comorbidities. Assessment of and intervention in psychiatric disorders, especially alcohol use disorder and comorbid alcohol use disorder with disruptive behavior disorders, may help prevent further offenses.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Unspecified 8 19%
Student > Bachelor 7 17%
Researcher 5 12%
Student > Ph. D. Student 3 7%
Other 9 21%
Readers by discipline Count As %
Psychology 13 31%
Unspecified 10 24%
Medicine and Dentistry 8 19%
Social Sciences 4 10%
Neuroscience 4 10%
Other 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2017.
All research outputs
#1,054,860
of 10,972,625 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#51
of 380 outputs
Outputs of similar age
#48,405
of 318,809 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#2
of 11 outputs
Altmetric has tracked 10,972,625 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.