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Do 12-step meeting attendance trajectories over 9 years predict abstinence?
Abstract This study grouped treatment-seeking individuals ( n = 1825) by common patterns of 12-step attendance using 5 waves of data (75% interviewed Year 9) to isolate unique characteristics and use-related outcomes distinguishing each class profile. The “high” class reported the highest attendance...
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Published in: | Journal of substance abuse treatment 2012-07, Vol.43 (1), p.30-43 |
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container_title | Journal of substance abuse treatment |
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creator | Witbrodt, Jane, Ph.D Mertens, Jennifer, Ph.D Kaskutas, Lee Ann, Dr.P.H Bond, Jason, Ph.D Chi, Felicia, M.P.H Weisner, Constance, Dr.P.H., M.S.W |
description | Abstract This study grouped treatment-seeking individuals ( n = 1825) by common patterns of 12-step attendance using 5 waves of data (75% interviewed Year 9) to isolate unique characteristics and use-related outcomes distinguishing each class profile. The “high” class reported the highest attendance and abstention. The “descending” class reported high baseline alcohol severity, long treatment episodes, and high initial attendance and abstinence, but by Year 5, their attendance and abstinence dropped. The “early-drop” class, which started with high attendance and abstinence but with low problem severity, reported no attendance after Year 1. The “rising” class, with fairly high alcohol and psychiatric severity throughout, reported initially low attendance, followed by increasing attendance paralleling their abstention. Last, the “low” and “no” classes, which reported low problem severity and very low/no attendance, had the lowest abstention. Female gender and high alcohol severity predicted attendance all years. Consistent with a sustained benefit for 12-step exposure, abstinence patterns aligned much like attendance profiles. |
doi_str_mv | 10.1016/j.jsat.2011.10.004 |
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The “high” class reported the highest attendance and abstention. The “descending” class reported high baseline alcohol severity, long treatment episodes, and high initial attendance and abstinence, but by Year 5, their attendance and abstinence dropped. The “early-drop” class, which started with high attendance and abstinence but with low problem severity, reported no attendance after Year 1. The “rising” class, with fairly high alcohol and psychiatric severity throughout, reported initially low attendance, followed by increasing attendance paralleling their abstention. Last, the “low” and “no” classes, which reported low problem severity and very low/no attendance, had the lowest abstention. Female gender and high alcohol severity predicted attendance all years. Consistent with a sustained benefit for 12-step exposure, abstinence patterns aligned much like attendance profiles.</description><identifier>ISSN: 0740-5472</identifier><identifier>EISSN: 1873-6483</identifier><identifier>DOI: 10.1016/j.jsat.2011.10.004</identifier><identifier>PMID: 22206631</identifier><identifier>CODEN: JSATEG</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>12-Step groups ; Abstinence ; Addictive behaviors ; Adolescent ; Adult ; Adult and adolescent clinical studies ; Alcohol and drug outcomes ; Alcohol use ; Alcoholics Anonymous ; Alcoholism - rehabilitation ; Biological and medical sciences ; Desintoxication. Drug withdrawal ; Distinguishing ; Drug addiction ; Female ; Follow-Up Studies ; Gender ; Helpseeking ; Humans ; Latent class growth analysis ; Longitudinal Studies ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Patient Compliance - statistics & numerical data ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Secondary Prevention ; Severity ; Severity of Illness Index ; Studies ; Substance abuse treatment ; Temperance - statistics & numerical data ; Time Factors ; Trajectories analysis ; Treatments ; Twelve step model ; Young Adult</subject><ispartof>Journal of substance abuse treatment, 2012-07, Vol.43 (1), p.30-43</ispartof><rights>Elsevier Inc.</rights><rights>2012 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Inc. All rights reserved.</rights><rights>Copyright Pergamon Press Inc. Jul 2012</rights><rights>2011 Elsevier Inc. All rights reserved. 2011</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c601t-5b39f2ef091b19a5f9d3fe7d7508f5b71ab244afe7eceaa9a69ba81739e02a3c3</citedby><cites>FETCH-LOGICAL-c601t-5b39f2ef091b19a5f9d3fe7d7508f5b71ab244afe7eceaa9a69ba81739e02a3c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902,30976,30977</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26002778$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22206631$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Witbrodt, Jane, Ph.D</creatorcontrib><creatorcontrib>Mertens, Jennifer, Ph.D</creatorcontrib><creatorcontrib>Kaskutas, Lee Ann, Dr.P.H</creatorcontrib><creatorcontrib>Bond, Jason, Ph.D</creatorcontrib><creatorcontrib>Chi, Felicia, M.P.H</creatorcontrib><creatorcontrib>Weisner, Constance, Dr.P.H., M.S.W</creatorcontrib><title>Do 12-step meeting attendance trajectories over 9 years predict abstinence?</title><title>Journal of substance abuse treatment</title><addtitle>J Subst Abuse Treat</addtitle><description>Abstract This study grouped treatment-seeking individuals ( n = 1825) by common patterns of 12-step attendance using 5 waves of data (75% interviewed Year 9) to isolate unique characteristics and use-related outcomes distinguishing each class profile. The “high” class reported the highest attendance and abstention. The “descending” class reported high baseline alcohol severity, long treatment episodes, and high initial attendance and abstinence, but by Year 5, their attendance and abstinence dropped. The “early-drop” class, which started with high attendance and abstinence but with low problem severity, reported no attendance after Year 1. The “rising” class, with fairly high alcohol and psychiatric severity throughout, reported initially low attendance, followed by increasing attendance paralleling their abstention. Last, the “low” and “no” classes, which reported low problem severity and very low/no attendance, had the lowest abstention. Female gender and high alcohol severity predicted attendance all years. Consistent with a sustained benefit for 12-step exposure, abstinence patterns aligned much like attendance profiles.</description><subject>12-Step groups</subject><subject>Abstinence</subject><subject>Addictive behaviors</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Alcohol and drug outcomes</subject><subject>Alcohol use</subject><subject>Alcoholics Anonymous</subject><subject>Alcoholism - rehabilitation</subject><subject>Biological and medical sciences</subject><subject>Desintoxication. Drug withdrawal</subject><subject>Distinguishing</subject><subject>Drug addiction</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gender</subject><subject>Helpseeking</subject><subject>Humans</subject><subject>Latent class growth analysis</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Patient Compliance - statistics & numerical data</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Secondary Prevention</subject><subject>Severity</subject><subject>Severity of Illness Index</subject><subject>Studies</subject><subject>Substance abuse treatment</subject><subject>Temperance - statistics & numerical data</subject><subject>Time Factors</subject><subject>Trajectories analysis</subject><subject>Treatments</subject><subject>Twelve step model</subject><subject>Young Adult</subject><issn>0740-5472</issn><issn>1873-6483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kk1v1DAQhi0EoqXwBzigSAiJSxaPndixhIpQ-RSVOABny3EmxSGbbG3vSvvvmWiXFnrgNNL4mY_X7zD2FPgKOKhXw2pILq8EB6DEivPqHjuFRstSVY28z065rnhZV1qcsEcpDZxzIXjzkJ0IikpJOGVf3s0FiDJl3BRrxBymq8LljFPnJo9Fjm5An-cYMBXzDmNhij26mIpNxC74XLg2URES_OYxe9C7MeGTYzxjPz68_37xqbz8-vHzxdvL0isOuaxbaXqBPTfQgnF1bzrZo-50zZu-bjW4VlSVoxR6dM44ZVrXgJYGuXDSyzN2fui72bZr7DxOtOZoNzGsXdzb2QX778sUftqreWelJNlaUIOXxwZxvt5iynYdksdxdBPO22SBywZA1KIi9PkddJi3cSJ5RIGppKqVIUocKB_nlCL2N8sAXzhlB7t4ZRevlhx5RUXP_pZxU_LHHAJeHAGXvBv7SJaEdMsp8lPrhrjXBw7p03cBo00-LI50IZJ5tpvD__c4v1PuxzAFmvgL95hu9dokLLfflqtajgqA5nNh5G-Z6sdP</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Witbrodt, Jane, Ph.D</creator><creator>Mertens, Jennifer, Ph.D</creator><creator>Kaskutas, Lee Ann, Dr.P.H</creator><creator>Bond, Jason, Ph.D</creator><creator>Chi, Felicia, M.P.H</creator><creator>Weisner, Constance, Dr.P.H., M.S.W</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</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>7QJ</scope><scope>K7.</scope><scope>K9.</scope><scope>5PM</scope></search><sort><creationdate>20120701</creationdate><title>Do 12-step meeting attendance trajectories over 9 years predict abstinence?</title><author>Witbrodt, Jane, Ph.D ; Mertens, Jennifer, Ph.D ; Kaskutas, Lee Ann, Dr.P.H ; Bond, Jason, Ph.D ; Chi, Felicia, M.P.H ; Weisner, Constance, Dr.P.H., M.S.W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c601t-5b39f2ef091b19a5f9d3fe7d7508f5b71ab244afe7eceaa9a69ba81739e02a3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>12-Step groups</topic><topic>Abstinence</topic><topic>Addictive behaviors</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Alcohol and drug outcomes</topic><topic>Alcohol use</topic><topic>Alcoholics Anonymous</topic><topic>Alcoholism - rehabilitation</topic><topic>Biological and medical sciences</topic><topic>Desintoxication. Drug withdrawal</topic><topic>Distinguishing</topic><topic>Drug addiction</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gender</topic><topic>Helpseeking</topic><topic>Humans</topic><topic>Latent class growth analysis</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Patient Compliance - statistics & numerical data</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Secondary Prevention</topic><topic>Severity</topic><topic>Severity of Illness Index</topic><topic>Studies</topic><topic>Substance abuse treatment</topic><topic>Temperance - statistics & numerical data</topic><topic>Time Factors</topic><topic>Trajectories analysis</topic><topic>Treatments</topic><topic>Twelve step model</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Witbrodt, Jane, Ph.D</creatorcontrib><creatorcontrib>Mertens, Jennifer, Ph.D</creatorcontrib><creatorcontrib>Kaskutas, Lee Ann, Dr.P.H</creatorcontrib><creatorcontrib>Bond, Jason, Ph.D</creatorcontrib><creatorcontrib>Chi, Felicia, M.P.H</creatorcontrib><creatorcontrib>Weisner, Constance, Dr.P.H., M.S.W</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>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of substance abuse treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Witbrodt, Jane, Ph.D</au><au>Mertens, Jennifer, Ph.D</au><au>Kaskutas, Lee Ann, Dr.P.H</au><au>Bond, Jason, Ph.D</au><au>Chi, Felicia, M.P.H</au><au>Weisner, Constance, Dr.P.H., M.S.W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do 12-step meeting attendance trajectories over 9 years predict abstinence?</atitle><jtitle>Journal of substance abuse treatment</jtitle><addtitle>J Subst Abuse Treat</addtitle><date>2012-07-01</date><risdate>2012</risdate><volume>43</volume><issue>1</issue><spage>30</spage><epage>43</epage><pages>30-43</pages><issn>0740-5472</issn><eissn>1873-6483</eissn><coden>JSATEG</coden><abstract>Abstract This study grouped treatment-seeking individuals ( n = 1825) by common patterns of 12-step attendance using 5 waves of data (75% interviewed Year 9) to isolate unique characteristics and use-related outcomes distinguishing each class profile. 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subjects | 12-Step groups Abstinence Addictive behaviors Adolescent Adult Adult and adolescent clinical studies Alcohol and drug outcomes Alcohol use Alcoholics Anonymous Alcoholism - rehabilitation Biological and medical sciences Desintoxication. Drug withdrawal Distinguishing Drug addiction Female Follow-Up Studies Gender Helpseeking Humans Latent class growth analysis Longitudinal Studies Male Medical sciences Middle Aged Miscellaneous Patient Compliance - statistics & numerical data Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health. Hygiene Public health. Hygiene-occupational medicine Secondary Prevention Severity Severity of Illness Index Studies Substance abuse treatment Temperance - statistics & numerical data Time Factors Trajectories analysis Treatments Twelve step model Young Adult |
title | Do 12-step meeting attendance trajectories over 9 years predict abstinence? |
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