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Life events and alcohol use disorder clinical course: Modeling the dynamic association.

ABSTRACT: BACKGROUND:Despite over 35 years of study, the relationship between life events (LEs) and alcohol use disorder (AUD) treatment outcome lacks consistent empirical support, which may be due to a lack of theoretically driven designs and corresponding statistical analyses. The purpose of this study was to elucidate the LEs-AUD treatment outcome relationship by statistically modeling the dynamic relationship between negative LEs and alcohol use post-treatment, as it is conceptualized within the dynamic model of relapse. METHODS:Existing longitudinal data from 417 AUD treatment-seeking adults were randomly assigned to two demographically comparable samples. One sample (N=208) was used to estimate a series of dynamic bivariate latent change score models that differentially relate latent indicators of distal and proximal negative LEs (i.e., events subjectively rated as negative) and percent heavy drinking days across 12 months. Cross-validation was conducted on the second sample (N=209). RESULTS:Findings indicated that distal negative LEs were positively associated with a greater increase in negative LEs, but not heavy drinking, over the subsequent 12 months. Proximal negative LEs were significantly associated with subsequent increases in heavy drinking, though heavy drinking was not a determinant of change in negative LEs. These findings were cross-validated with the second sample. CONCLUSIONS:This study provides initial justification for the further study of the LEs-alcohol use relationship as it is described in the dynamic model of relapse.

SUBMITTER: Krenek M

PROVIDER: S-EPMC5654563 | biostudies-other | 2017 Nov

REPOSITORIES: biostudies-other

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Life events and alcohol use disorder clinical course: Modeling the dynamic association.

Krenek Marketa M Prince Mark A MA Maisto Stephen A SA

Drug and alcohol dependence 20170831

<h4>Background</h4>Despite over 35 years of study, the relationship between life events (LEs) and alcohol use disorder (AUD) treatment outcome lacks consistent empirical support, which may be due to a lack of theoretically driven designs and corresponding statistical analyses. The purpose of this study was to elucidate the LEs-AUD treatment outcome relationship by statistically modeling the dynamic relationship between negative LEs and alcohol use post-treatment, as it is conceptualized within t ...[more]

PMID: 28888153

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Project description:<p>The Australian twin-family study of alcohol use disorder (OZALC study) derives from telephone diagnostic interview studies of two general population volunteer cohorts of Australian twins (cohort 1, mostly born 1940-1964; cohort 2, born 1964-71) and the spouses of the former cohort - a total of over 11,000 families. Three coordinated studies, using a shared assessment protocol and with a shared goal of gene-discovery, were conducted - one funded by the National Institute on Drug Abuse, the others by the National Institute on Alcoholism and Alcohol Abuse - by investigators associated with the Midwest Alcoholism Research Center at Washington University in St. Louis, and investigators at Queensland Institute of Medical Research, Brisbane, Australia (led by Professor Nicholas Martin), using informative families identified from these cohorts. The first of these (NIDA Nicotine Addiction Genetics [NAG] project, PI Pamela Madden) identified index cases from the 3 cohorts with a history of heavy smoking (smoked 20 or more cigarettes daily, or 40 or more cigarettes on 1 or more occasions) and with additional available full siblings who were smokers, and interviewed and obtained blood samples from twins, and cooperative full siblings and parents, in order to identify families that would be informative for linkage analysis of a quantitative heaviness of smoking trait. The second identified additional families with an index case who either reported a history of alcohol dependence (DSM-IV), or scored above the 85th percentile on a quantitative measure of heaviness of alcohol use (alcohol factor score), derived from measures of frequency of heavy drinking, frequency of drinking to intoxication, and typical weekly consumption in standard drinks (all referenced to the respondent's heaviest drinking period) and of lifetime maximum 1-day alcohol consumption and maximum tolerance to alcohol (drinks before getting drunk or before feeling effects of alcohol). Interview and DNA were obtained from index cases and siblings, and DNA only from available parents. The goal of this second study (NIAAA OZ-ALCOHOL EDAC study, PI Andrew Heath) was to identify sibships including pairs who were either extreme concordant for the quantitative consumption measure (both scoring above the 85th percentile) or extreme discordant (one scoring above the 85th percentile and one scoring below the 30th percentile) that would be informative for linkage analysis. The third identified additional sibships solely on the basis of large sibship size, regardless of alcohol or tobacco use phenotypes (NIAAA OZ-BIGSIB study, PIs the late Richard Todd, Andrew Heath). From these coordinated studies a case-control series of alcohol dependent individuals and unaffected controls were constructed for a family-based Genomewide Association Study (OZALC-GWAS) of heaviness of alcohol use and alcohol dependence, funded by the National Institute of Alcoholism and Alcohol Abuse. These data are made available here for all investigators studying outcomes related to alcohol or tobacco use (including major depressive disorder).</p>

Dataset Information

Life events and alcohol use disorder clinical course: Modeling the dynamic association.

Publications

Life events and alcohol use disorder clinical course: Modeling the dynamic association.

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