Does Cognition Predict Treatment Response and Remission in Psychotherapy for Late-Life Depression?
Objectives To identify cognitive predictors of geriatric depression treatment outcome. Method Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (prob...
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Veröffentlicht in: | The American journal of geriatric psychiatry 2015-02, Vol.23 (2), p.215-219 |
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container_title | The American journal of geriatric psychiatry |
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creator | Beaudreau, Sherry A., Ph.D Rideaux, Tiffany, Psy.D O'Hara, Ruth, Ph.D Arean, Patricia, Ph.D |
description | Objectives To identify cognitive predictors of geriatric depression treatment outcome. Method Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10). Results Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees. Conclusions Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression. |
doi_str_mv | 10.1016/j.jagp.2014.09.003 |
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Method Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10). Results Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees. Conclusions Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression.</description><identifier>ISSN: 1064-7481</identifier><identifier>EISSN: 1545-7214</identifier><identifier>DOI: 10.1016/j.jagp.2014.09.003</identifier><identifier>PMID: 25441055</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Aged ; Cognition ; cognitive predictors ; Decision Trees ; depressed ; Depression - psychology ; Depression - therapy ; Executive Function ; Female ; Humans ; Internal Medicine ; Intervention ; Male ; Memory ; Neuropsychological Tests ; older adults ; Predictive Value of Tests ; psychological treatments ; Psychotherapy ; Remission Induction ; Sensitivity and Specificity ; Treatment Outcome</subject><ispartof>The American journal of geriatric psychiatry, 2015-02, Vol.23 (2), p.215-219</ispartof><rights>2014 American Association for Geriatric Psychiatry</rights><rights>Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-e231513905ad15aa6d8ec2639dd9c3f69b9799b3a4efaa33fc94335d3b6a6b6d3</citedby><cites>FETCH-LOGICAL-c510t-e231513905ad15aa6d8ec2639dd9c3f69b9799b3a4efaa33fc94335d3b6a6b6d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25441055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Beaudreau, Sherry A., Ph.D</creatorcontrib><creatorcontrib>Rideaux, Tiffany, Psy.D</creatorcontrib><creatorcontrib>O'Hara, Ruth, Ph.D</creatorcontrib><creatorcontrib>Arean, Patricia, Ph.D</creatorcontrib><title>Does Cognition Predict Treatment Response and Remission in Psychotherapy for Late-Life Depression?</title><title>The American journal of geriatric psychiatry</title><addtitle>Am J Geriatr Psychiatry</addtitle><description>Objectives To identify cognitive predictors of geriatric depression treatment outcome. Method Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10). Results Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees. Conclusions Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression.</description><subject>Aged</subject><subject>Cognition</subject><subject>cognitive predictors</subject><subject>Decision Trees</subject><subject>depressed</subject><subject>Depression - psychology</subject><subject>Depression - therapy</subject><subject>Executive Function</subject><subject>Female</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Intervention</subject><subject>Male</subject><subject>Memory</subject><subject>Neuropsychological Tests</subject><subject>older adults</subject><subject>Predictive Value of Tests</subject><subject>psychological treatments</subject><subject>Psychotherapy</subject><subject>Remission Induction</subject><subject>Sensitivity and Specificity</subject><subject>Treatment Outcome</subject><issn>1064-7481</issn><issn>1545-7214</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kktvEzEUhUcIREvhD7BAs2Qzg9-JJVSEUl5SJBCU9ZXHvpM4TOypPamUf4-HlApYsLItf_f4-pxbVc8paSmh6tWu3ZnN2DJCRUt0Swh_UJ1TKWSzYFQ8LHuiRLMQS3pWPcl5RwhRWonH1RmTQlAi5XnVXUXM9Spugp98DPWXhM7bqb5OaKY9hqn-inmMIWNtgiuHvc95Bn1h89Fu47TFZMZj3cdUr82Ezdr3WF_hmPAX-eZp9ag3Q8Znd-tF9f39u-vVx2b9-cOn1dt1YyUlU4OMU0m5JtI4Ko1RbomWKa6d05b3Snd6oXXHjcDeGM57qwXn0vFOGdUpxy-qy5PueOj26GxpPpkBxuT3Jh0hGg9_3wS_hU28BcGWxRZRBF7eCaR4c8A8QfmsxWEwAeMhA1VCMl5sWxaUnVCbYs4J-_tnKIE5HNjBHA7M4QDRUMIpRS_-bPC-5HcaBXh9ArDYdOsxQbYegy2RJLQTuOj_r3_5T7kdfPDWDD_wiHkXDymUAIBCZkDg2zwe83RQQQhTVPOfYBO3bA</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Beaudreau, Sherry A., Ph.D</creator><creator>Rideaux, Tiffany, Psy.D</creator><creator>O'Hara, Ruth, Ph.D</creator><creator>Arean, Patricia, Ph.D</creator><general>Elsevier Inc</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150201</creationdate><title>Does Cognition Predict Treatment Response and Remission in Psychotherapy for Late-Life Depression?</title><author>Beaudreau, Sherry A., Ph.D ; Rideaux, Tiffany, Psy.D ; O'Hara, Ruth, Ph.D ; Arean, Patricia, Ph.D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-e231513905ad15aa6d8ec2639dd9c3f69b9799b3a4efaa33fc94335d3b6a6b6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Cognition</topic><topic>cognitive predictors</topic><topic>Decision Trees</topic><topic>depressed</topic><topic>Depression - psychology</topic><topic>Depression - therapy</topic><topic>Executive Function</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Intervention</topic><topic>Male</topic><topic>Memory</topic><topic>Neuropsychological Tests</topic><topic>older adults</topic><topic>Predictive Value of Tests</topic><topic>psychological treatments</topic><topic>Psychotherapy</topic><topic>Remission Induction</topic><topic>Sensitivity and Specificity</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beaudreau, Sherry A., Ph.D</creatorcontrib><creatorcontrib>Rideaux, Tiffany, Psy.D</creatorcontrib><creatorcontrib>O'Hara, Ruth, Ph.D</creatorcontrib><creatorcontrib>Arean, Patricia, Ph.D</creatorcontrib><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of geriatric psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beaudreau, Sherry A., Ph.D</au><au>Rideaux, Tiffany, Psy.D</au><au>O'Hara, Ruth, Ph.D</au><au>Arean, Patricia, Ph.D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does Cognition Predict Treatment Response and Remission in Psychotherapy for Late-Life Depression?</atitle><jtitle>The American journal of geriatric psychiatry</jtitle><addtitle>Am J Geriatr Psychiatry</addtitle><date>2015-02-01</date><risdate>2015</risdate><volume>23</volume><issue>2</issue><spage>215</spage><epage>219</epage><pages>215-219</pages><issn>1064-7481</issn><eissn>1545-7214</eissn><abstract>Objectives To identify cognitive predictors of geriatric depression treatment outcome. Method Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10). Results Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees. Conclusions Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>25441055</pmid><doi>10.1016/j.jagp.2014.09.003</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Cognition cognitive predictors Decision Trees depressed Depression - psychology Depression - therapy Executive Function Female Humans Internal Medicine Intervention Male Memory Neuropsychological Tests older adults Predictive Value of Tests psychological treatments Psychotherapy Remission Induction Sensitivity and Specificity Treatment Outcome |
title | Does Cognition Predict Treatment Response and Remission in Psychotherapy for Late-Life Depression? |
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