Empirically derived subtypes of serious emotional disturbance in a large adolescent sample

Purpose The heterogeneity of serious emotional disturbance has been thoroughly documented among adolescents with nationally representative data derived from structured interviews, although use of these interviews may not be feasible within the context of brief and self-administered school surveys. T...

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Veröffentlicht in:Social Psychiatry and Psychiatric Epidemiology 2015-06, Vol.50 (6), p.983-994
Hauptverfasser: Peiper, Nicholas, Clayton, Richard, Wilson, Richard, Illback, Robert, O’Brien, Elizabeth, Kerber, Richard, Baumgartner, Richard, Hornung, Carlton
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container_issue 6
container_start_page 983
container_title Social Psychiatry and Psychiatric Epidemiology
container_volume 50
creator Peiper, Nicholas
Clayton, Richard
Wilson, Richard
Illback, Robert
O’Brien, Elizabeth
Kerber, Richard
Baumgartner, Richard
Hornung, Carlton
description Purpose The heterogeneity of serious emotional disturbance has been thoroughly documented among adolescents with nationally representative data derived from structured interviews, although use of these interviews may not be feasible within the context of brief and self-administered school surveys. This study seeks to identify distinct subtypes of serious emotional disturbance in a large school-based sample. Methods A total of 108,736 students fully completed the K6 scale that was included on the 2012 Kentucky Incentives for Prevention Survey. Latent class analysis was used to derive subtypes of serious emotional disturbance among students receiving a positive screen ( n  = 15,147). To determine significant predictors of class membership, adjusted rate ratios and 95 % confidence intervals were calculated using multinomial logistic regression. Results A four-class model was the most parsimonious, with four distinct subtypes emerging that varied by both symptom type and severity: comorbid moderate severity, comorbid high severity, anxious moderate severity, and depressed high severity. Age, gender, race/ethnicity, family structure, substance use, antisocial behavior, role impairments, and peer victimization were significant predictors of class membership, although the magnitude of these effects was stronger for the two high severity groups. Conclusions Our results suggest heterogeneity of serious emotional disturbance by both symptom type and severity. Prevention programs may benefit by shifting focus from specific disorders to the core features of serious emotional disturbance, including psychological distress, high comorbidity, and role impairments.
doi_str_mv 10.1007/s00127-015-1017-2
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This study seeks to identify distinct subtypes of serious emotional disturbance in a large school-based sample. Methods A total of 108,736 students fully completed the K6 scale that was included on the 2012 Kentucky Incentives for Prevention Survey. Latent class analysis was used to derive subtypes of serious emotional disturbance among students receiving a positive screen ( n  = 15,147). To determine significant predictors of class membership, adjusted rate ratios and 95 % confidence intervals were calculated using multinomial logistic regression. Results A four-class model was the most parsimonious, with four distinct subtypes emerging that varied by both symptom type and severity: comorbid moderate severity, comorbid high severity, anxious moderate severity, and depressed high severity. Age, gender, race/ethnicity, family structure, substance use, antisocial behavior, role impairments, and peer victimization were significant predictors of class membership, although the magnitude of these effects was stronger for the two high severity groups. Conclusions Our results suggest heterogeneity of serious emotional disturbance by both symptom type and severity. Prevention programs may benefit by shifting focus from specific disorders to the core features of serious emotional disturbance, including psychological distress, high comorbidity, and role impairments.</description><identifier>ISSN: 0933-7954</identifier><identifier>EISSN: 1433-9285</identifier><identifier>DOI: 10.1007/s00127-015-1017-2</identifier><identifier>PMID: 25652591</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Affective Symptoms - complications ; Affective Symptoms - diagnosis ; Affective Symptoms - psychology ; Analysis ; Antisocial Personality Disorder - complications ; Antisocial Personality Disorder - diagnosis ; Antisocial Personality Disorder - psychology ; Anxiety ; Bullying ; Child ; Comorbidity ; Drug abuse ; Epidemiology ; Family ; Female ; Humans ; Latent class analysis ; Logistics ; Male ; Medicine ; Medicine &amp; Public Health ; Mental disorders ; Mental health ; Original Paper ; Peer Group ; Prevention ; Psychiatry ; Regression analysis ; School districts ; Schools ; Severity of Illness Index ; Stress (Psychology) ; Students ; Students - psychology ; Substance abuse ; Substance-Related Disorders - complications ; Substance-Related Disorders - diagnosis ; Substance-Related Disorders - psychology ; Surveys ; Surveys and Questionnaires ; Teenagers</subject><ispartof>Social Psychiatry and Psychiatric Epidemiology, 2015-06, Vol.50 (6), p.983-994</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><rights>COPYRIGHT 2015 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-198a2e7912049e46a90c32b9aa10d7489192bf06c58bf4d427fe0cfe79e100693</citedby><cites>FETCH-LOGICAL-c509t-198a2e7912049e46a90c32b9aa10d7489192bf06c58bf4d427fe0cfe79e100693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00127-015-1017-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00127-015-1017-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25652591$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peiper, Nicholas</creatorcontrib><creatorcontrib>Clayton, Richard</creatorcontrib><creatorcontrib>Wilson, Richard</creatorcontrib><creatorcontrib>Illback, Robert</creatorcontrib><creatorcontrib>O’Brien, Elizabeth</creatorcontrib><creatorcontrib>Kerber, Richard</creatorcontrib><creatorcontrib>Baumgartner, Richard</creatorcontrib><creatorcontrib>Hornung, Carlton</creatorcontrib><title>Empirically derived subtypes of serious emotional disturbance in a large adolescent sample</title><title>Social Psychiatry and Psychiatric Epidemiology</title><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><description>Purpose The heterogeneity of serious emotional disturbance has been thoroughly documented among adolescents with nationally representative data derived from structured interviews, although use of these interviews may not be feasible within the context of brief and self-administered school surveys. This study seeks to identify distinct subtypes of serious emotional disturbance in a large school-based sample. Methods A total of 108,736 students fully completed the K6 scale that was included on the 2012 Kentucky Incentives for Prevention Survey. Latent class analysis was used to derive subtypes of serious emotional disturbance among students receiving a positive screen ( n  = 15,147). To determine significant predictors of class membership, adjusted rate ratios and 95 % confidence intervals were calculated using multinomial logistic regression. Results A four-class model was the most parsimonious, with four distinct subtypes emerging that varied by both symptom type and severity: comorbid moderate severity, comorbid high severity, anxious moderate severity, and depressed high severity. Age, gender, race/ethnicity, family structure, substance use, antisocial behavior, role impairments, and peer victimization were significant predictors of class membership, although the magnitude of these effects was stronger for the two high severity groups. Conclusions Our results suggest heterogeneity of serious emotional disturbance by both symptom type and severity. Prevention programs may benefit by shifting focus from specific disorders to the core features of serious emotional disturbance, including psychological distress, high comorbidity, and role impairments.</description><subject>Adolescent</subject><subject>Affective Symptoms - complications</subject><subject>Affective Symptoms - diagnosis</subject><subject>Affective Symptoms - psychology</subject><subject>Analysis</subject><subject>Antisocial Personality Disorder - complications</subject><subject>Antisocial Personality Disorder - diagnosis</subject><subject>Antisocial Personality Disorder - psychology</subject><subject>Anxiety</subject><subject>Bullying</subject><subject>Child</subject><subject>Comorbidity</subject><subject>Drug abuse</subject><subject>Epidemiology</subject><subject>Family</subject><subject>Female</subject><subject>Humans</subject><subject>Latent class analysis</subject><subject>Logistics</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Original Paper</subject><subject>Peer Group</subject><subject>Prevention</subject><subject>Psychiatry</subject><subject>Regression analysis</subject><subject>School districts</subject><subject>Schools</subject><subject>Severity of Illness Index</subject><subject>Stress (Psychology)</subject><subject>Students</subject><subject>Students - psychology</subject><subject>Substance abuse</subject><subject>Substance-Related Disorders - complications</subject><subject>Substance-Related Disorders - diagnosis</subject><subject>Substance-Related Disorders - psychology</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Teenagers</subject><issn>0933-7954</issn><issn>1433-9285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kc1u1TAQhS0EopfCA7BBltiwSRk7cRwvq6pQpErdwKYby3HGV66cONgJ0n17nN62_Ajkha3xd45m5hDylsEZA5AfMwDjsgImKgZMVvwZ2bGmrivFO_Gc7ECVt1SiOSGvcr4DgFrJ-iU54aIVXCi2I7eX4-yTtyaEAx0w-R840Lz2y2HGTKOjudTimimOcfFxMoEOPi9r6s1kkfqJGhpM2iM1QwyYLU4LzWacA74mL5wJGd883Kfk26fLrxdX1fXN5y8X59eVFaCWiqnOcJSKcWgUNq1RYGveK2MYDLLpFFO8d9Ba0fWuGRouHYJ1RYFlCa2qT8mHo--c4vcV86JHX_oIwUxYOtes7WqQLfANff8XehfXVIa6p7iQsq3bX9TeBNR-cnFJxm6m-lyythGs6Xihzv5BlTPg6G2c0PlS_0PAjgKbYs4JnZ6TH006aAZ6y1Mf89QlT73lqTfNu4eG137E4UnxGGAB-BHI5WvaY_ptov-6_gQaNqic</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Peiper, Nicholas</creator><creator>Clayton, Richard</creator><creator>Wilson, Richard</creator><creator>Illback, Robert</creator><creator>O’Brien, Elizabeth</creator><creator>Kerber, Richard</creator><creator>Baumgartner, Richard</creator><creator>Hornung, Carlton</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20150601</creationdate><title>Empirically derived subtypes of serious emotional disturbance in a large adolescent sample</title><author>Peiper, Nicholas ; 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This study seeks to identify distinct subtypes of serious emotional disturbance in a large school-based sample. Methods A total of 108,736 students fully completed the K6 scale that was included on the 2012 Kentucky Incentives for Prevention Survey. Latent class analysis was used to derive subtypes of serious emotional disturbance among students receiving a positive screen ( n  = 15,147). To determine significant predictors of class membership, adjusted rate ratios and 95 % confidence intervals were calculated using multinomial logistic regression. Results A four-class model was the most parsimonious, with four distinct subtypes emerging that varied by both symptom type and severity: comorbid moderate severity, comorbid high severity, anxious moderate severity, and depressed high severity. Age, gender, race/ethnicity, family structure, substance use, antisocial behavior, role impairments, and peer victimization were significant predictors of class membership, although the magnitude of these effects was stronger for the two high severity groups. Conclusions Our results suggest heterogeneity of serious emotional disturbance by both symptom type and severity. Prevention programs may benefit by shifting focus from specific disorders to the core features of serious emotional disturbance, including psychological distress, high comorbidity, and role impairments.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25652591</pmid><doi>10.1007/s00127-015-1017-2</doi><tpages>12</tpages></addata></record>
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subjects Adolescent
Affective Symptoms - complications
Affective Symptoms - diagnosis
Affective Symptoms - psychology
Analysis
Antisocial Personality Disorder - complications
Antisocial Personality Disorder - diagnosis
Antisocial Personality Disorder - psychology
Anxiety
Bullying
Child
Comorbidity
Drug abuse
Epidemiology
Family
Female
Humans
Latent class analysis
Logistics
Male
Medicine
Medicine & Public Health
Mental disorders
Mental health
Original Paper
Peer Group
Prevention
Psychiatry
Regression analysis
School districts
Schools
Severity of Illness Index
Stress (Psychology)
Students
Students - psychology
Substance abuse
Substance-Related Disorders - complications
Substance-Related Disorders - diagnosis
Substance-Related Disorders - psychology
Surveys
Surveys and Questionnaires
Teenagers
title Empirically derived subtypes of serious emotional disturbance in a large adolescent sample
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