Predictors of future depression in early and late adolescence
Abstract Background This study examined whether the possibility to predict future DSM-IV depressive disorder can be increased with recurrent screening for depression in community adolescents, compared to single screening in early or in late adolescence. In addition, it examined which depressive symp...
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description | Abstract Background This study examined whether the possibility to predict future DSM-IV depressive disorder can be increased with recurrent screening for depression in community adolescents, compared to single screening in early or in late adolescence. In addition, it examined which depressive symptoms in early and late adolescence predicted future depressive disorder most accurately. Methods Participants from an ongoing longitudinal cohort study were assessed when they were aged between 10 and 15 (early adolescence), and between 14 and 19 (late adolescence), and were followed until they were 20–25 (young adulthood). The Child Behavior Checklist (CBCL) and Youth Self-Report (YSR) were used to screen for depression in early and late adolescence, and CIDI/DSM-IV diagnoses of depressive disorder were used as the outcome measure during follow-up. Results Recurrent screening only slightly improved the prediction of future depression, and cognitive and physical symptoms in late adolescence predicted future depression accurately in boys. Sleeping problems in early adolescence predicted future depression in girls. Limitations The main limitation was the retrospective recall of the age of onset of a depressive disorder. Conclusions Recurrent screening for depression did not predict future depressive disorder better than single screening in late adolescence. However, depressive symptoms like sleeping problems predicted future depression quite accurately in adolescent boys and girls. This indicates that it may be useful to screen adolescents for the presence of such symptoms, for instance in school settings, to predict which adolescents are at risk to develop DSM-IV depressive disorder in early adulthood. |
doi_str_mv | 10.1016/j.jad.2006.06.007 |
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In addition, it examined which depressive symptoms in early and late adolescence predicted future depressive disorder most accurately. Methods Participants from an ongoing longitudinal cohort study were assessed when they were aged between 10 and 15 (early adolescence), and between 14 and 19 (late adolescence), and were followed until they were 20–25 (young adulthood). The Child Behavior Checklist (CBCL) and Youth Self-Report (YSR) were used to screen for depression in early and late adolescence, and CIDI/DSM-IV diagnoses of depressive disorder were used as the outcome measure during follow-up. Results Recurrent screening only slightly improved the prediction of future depression, and cognitive and physical symptoms in late adolescence predicted future depression accurately in boys. Sleeping problems in early adolescence predicted future depression in girls. Limitations The main limitation was the retrospective recall of the age of onset of a depressive disorder. Conclusions Recurrent screening for depression did not predict future depressive disorder better than single screening in late adolescence. However, depressive symptoms like sleeping problems predicted future depression quite accurately in adolescent boys and girls. This indicates that it may be useful to screen adolescents for the presence of such symptoms, for instance in school settings, to predict which adolescents are at risk to develop DSM-IV depressive disorder in early adulthood.</description><identifier>ISSN: 0165-0327</identifier><identifier>DOI: 10.1016/j.jad.2006.06.007</identifier><identifier>PMID: 16837054</identifier><identifier>CODEN: JADID7</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Adolescence ; Adolescent ; Adult ; Adult and adolescent clinical studies ; Age Factors ; Biological and medical sciences ; Child ; Cohort Studies ; Depression ; Depression - diagnosis ; Depression - epidemiology ; Depression - psychology ; Depressive Disorder - diagnosis ; Depressive Disorder - epidemiology ; Depressive Disorder - psychology ; Depressive symptoms ; Disease Progression ; Female ; Gender differences ; General population ; Humans ; Longitudinal Studies ; Male ; Mass Screening - statistics & numerical data ; Medical sciences ; Mood disorders ; Netherlands ; Personality Inventory ; Predictive quality ; Predictive Value of Tests ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Sex Factors</subject><ispartof>Journal of affective disorders, 2007-01, Vol.97 (1), p.137-144</ispartof><rights>2006</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-af92e66fe18fbcc6669e4b04d4a9c78429de93cceb38ffec2efcd047ae2f7ed43</citedby><cites>FETCH-LOGICAL-c436t-af92e66fe18fbcc6669e4b04d4a9c78429de93cceb38ffec2efcd047ae2f7ed43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jad.2006.06.007$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18400848$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16837054$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van Lang, Natasja D.J</creatorcontrib><creatorcontrib>Ferdinand, Robert F</creatorcontrib><creatorcontrib>Verhulst, Frank C</creatorcontrib><title>Predictors of future depression in early and late adolescence</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>Abstract Background This study examined whether the possibility to predict future DSM-IV depressive disorder can be increased with recurrent screening for depression in community adolescents, compared to single screening in early or in late adolescence. In addition, it examined which depressive symptoms in early and late adolescence predicted future depressive disorder most accurately. Methods Participants from an ongoing longitudinal cohort study were assessed when they were aged between 10 and 15 (early adolescence), and between 14 and 19 (late adolescence), and were followed until they were 20–25 (young adulthood). The Child Behavior Checklist (CBCL) and Youth Self-Report (YSR) were used to screen for depression in early and late adolescence, and CIDI/DSM-IV diagnoses of depressive disorder were used as the outcome measure during follow-up. Results Recurrent screening only slightly improved the prediction of future depression, and cognitive and physical symptoms in late adolescence predicted future depression accurately in boys. Sleeping problems in early adolescence predicted future depression in girls. Limitations The main limitation was the retrospective recall of the age of onset of a depressive disorder. Conclusions Recurrent screening for depression did not predict future depressive disorder better than single screening in late adolescence. However, depressive symptoms like sleeping problems predicted future depression quite accurately in adolescent boys and girls. This indicates that it may be useful to screen adolescents for the presence of such symptoms, for instance in school settings, to predict which adolescents are at risk to develop DSM-IV depressive disorder in early adulthood.</description><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Age Factors</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Cohort Studies</subject><subject>Depression</subject><subject>Depression - diagnosis</subject><subject>Depression - epidemiology</subject><subject>Depression - psychology</subject><subject>Depressive Disorder - diagnosis</subject><subject>Depressive Disorder - epidemiology</subject><subject>Depressive Disorder - psychology</subject><subject>Depressive symptoms</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Gender differences</subject><subject>General population</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Medical sciences</subject><subject>Mood disorders</subject><subject>Netherlands</subject><subject>Personality Inventory</subject><subject>Predictive quality</subject><subject>Predictive Value of Tests</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Sex Factors</subject><issn>0165-0327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtLxDAQgHNQfP8AL9KL3nadttmkRRRk8QWCgnoO2ckEUrvNmrTC_ntTdkHwIAwEkm8e-Yax0xymOeTispk22kwLADEdA-QOO0j3swmUhdxnhzE2kB5rCXtsPxdVKWHGD9j1ayDjsPchZt5mduiHQJmhVaAYne8y12WkQ7vOdGeyVveUaeNbikgd0jHbtbqNdLI9j9jH_d37_HHy_PLwNL99niAvRT_Rti5ICEt5ZReIQoia-AK44bpGWfGiNlSXiLQoK2sJC7JogEtNhZVkeHnELjZ1V8F_DRR7tXRpgrbVHfkhqvSdWs5glsB8A2LwMQayahXcUoe1ykGNnlSjkic1elJjgEw5Z9viw2JJ5jdjKykB51tAR9StDbpDF3-5igNUvErc1YajpOLbUVAR3ajJuEDYK-Pdv2Pc_MnG1nUuNfykNcXGD6FLjlWuYqFAvY3LHXcLAqCQXJQ_6v2dLg</recordid><startdate>20070101</startdate><enddate>20070101</enddate><creator>van Lang, Natasja D.J</creator><creator>Ferdinand, Robert F</creator><creator>Verhulst, Frank C</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>20070101</creationdate><title>Predictors of future depression in early and late adolescence</title><author>van Lang, Natasja D.J ; Ferdinand, Robert F ; Verhulst, Frank C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-af92e66fe18fbcc6669e4b04d4a9c78429de93cceb38ffec2efcd047ae2f7ed43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Age Factors</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Cohort Studies</topic><topic>Depression</topic><topic>Depression - diagnosis</topic><topic>Depression - epidemiology</topic><topic>Depression - psychology</topic><topic>Depressive Disorder - diagnosis</topic><topic>Depressive Disorder - epidemiology</topic><topic>Depressive Disorder - psychology</topic><topic>Depressive symptoms</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Gender differences</topic><topic>General population</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Medical sciences</topic><topic>Mood disorders</topic><topic>Netherlands</topic><topic>Personality Inventory</topic><topic>Predictive quality</topic><topic>Predictive Value of Tests</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Sex Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Lang, Natasja D.J</creatorcontrib><creatorcontrib>Ferdinand, Robert F</creatorcontrib><creatorcontrib>Verhulst, Frank C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van Lang, Natasja D.J</au><au>Ferdinand, Robert F</au><au>Verhulst, Frank C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of future depression in early and late adolescence</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2007-01-01</date><risdate>2007</risdate><volume>97</volume><issue>1</issue><spage>137</spage><epage>144</epage><pages>137-144</pages><issn>0165-0327</issn><coden>JADID7</coden><abstract>Abstract Background This study examined whether the possibility to predict future DSM-IV depressive disorder can be increased with recurrent screening for depression in community adolescents, compared to single screening in early or in late adolescence. In addition, it examined which depressive symptoms in early and late adolescence predicted future depressive disorder most accurately. Methods Participants from an ongoing longitudinal cohort study were assessed when they were aged between 10 and 15 (early adolescence), and between 14 and 19 (late adolescence), and were followed until they were 20–25 (young adulthood). The Child Behavior Checklist (CBCL) and Youth Self-Report (YSR) were used to screen for depression in early and late adolescence, and CIDI/DSM-IV diagnoses of depressive disorder were used as the outcome measure during follow-up. Results Recurrent screening only slightly improved the prediction of future depression, and cognitive and physical symptoms in late adolescence predicted future depression accurately in boys. Sleeping problems in early adolescence predicted future depression in girls. Limitations The main limitation was the retrospective recall of the age of onset of a depressive disorder. Conclusions Recurrent screening for depression did not predict future depressive disorder better than single screening in late adolescence. However, depressive symptoms like sleeping problems predicted future depression quite accurately in adolescent boys and girls. This indicates that it may be useful to screen adolescents for the presence of such symptoms, for instance in school settings, to predict which adolescents are at risk to develop DSM-IV depressive disorder in early adulthood.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>16837054</pmid><doi>10.1016/j.jad.2006.06.007</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescence Adolescent Adult Adult and adolescent clinical studies Age Factors Biological and medical sciences Child Cohort Studies Depression Depression - diagnosis Depression - epidemiology Depression - psychology Depressive Disorder - diagnosis Depressive Disorder - epidemiology Depressive Disorder - psychology Depressive symptoms Disease Progression Female Gender differences General population Humans Longitudinal Studies Male Mass Screening - statistics & numerical data Medical sciences Mood disorders Netherlands Personality Inventory Predictive quality Predictive Value of Tests Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Sex Factors |
title | Predictors of future depression in early and late adolescence |
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