» Articles » PMID: 14651506

Types of Natural Recovery from Alcohol Dependence: a Cluster Analytic Approach

Overview
Journal Addiction
Specialty Psychiatry
Date 2003 Dec 4
PMID 14651506
Citations 14
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Social capital and a low severity of alcohol-related problems have been focused upon to explain the processes of natural recovery from alcohol dependence. However, studies using control groups have not found significant differences in these variables. Subtypes of natural remission which might account for this inconsistency have only been described on grounds of qualitative data.

Aims: To identify subtypes of natural remitters using cluster analysis.

Participants: One hundred and seventy-eight media-recruited natural remitters were interviewed personally. Several triggering mechanisms and maintenance factors of remission were assessed using standardized questionnaires. Based on age of onset and severity of dependence, adverse consequences from drinking, social pressure and social support, cluster analyses were performed.

Results: Cluster analyses yielded three groups of natural remitters: one cluster with a high severity of dependence, low alcohol-related problems and low social support ('low problems-low support'; n = 65), one group characterized by high severity of dependence, high alcohol-related problems and medium social support ('high problems-medium support'; n = 37), and a third group which consisted of subjects with high social support, late age of onset, low severity of dependence, and low alcohol-related problems ('low problems-high support'; n = 76). Cluster solutions were confirmed using discriminant analyses. Analyses of variance (ANOVAs) revealed further group differences on other triggering and maintaining factors of remission.

Conclusions: Failure to identify specific pointers to natural recovery in previous research might be due to heterogeneous subgroups of natural remitters. In order to build a conceptual framework for understanding the processes of natural recovery, interactions of different independent variables should be considered.

Citing Articles

Treatment rates and delays for mental and substance use disorders: results from the Australian National Survey of Mental Health and Wellbeing.

Birrell L, Prior K, Vescovi J, Sunderland M, Slade T, Chapman C Epidemiol Psychiatr Sci. 2025; 34:e8.

PMID: 39949085 PMC: 11886968. DOI: 10.1017/S2045796025000034.


[Long-term courses of alcohol dependence].

John U, Rumpf H, Hoffmann S, Meyer C, Kiefer F Nervenarzt. 2024; 96(1):31-36.

PMID: 39167217 PMC: 11772450. DOI: 10.1007/s00115-024-01719-0.


Understanding low treatment seeking rates for alcohol use disorder: A narrative review of the literature and opportunities for improvement.

Venegas A, Donato S, Meredith L, Ray L Am J Drug Alcohol Abuse. 2021; 47(6):664-679.

PMID: 34464542 PMC: 9059657. DOI: 10.1080/00952990.2021.1969658.


State-of-the-art behavioral and pharmacological treatments for alcohol use disorder.

Ray Ph.D L, Bujarski Ph.D S, Grodin Ph.D E, Hartwell Ph.D E, Green M.A R, Venegas B.S A Am J Drug Alcohol Abuse. 2018; 45(2):124-140.

PMID: 30373394 PMC: 6430676. DOI: 10.1080/00952990.2018.1528265.


Computer-delivered indirect screening and brief intervention for drug use in the perinatal period: A randomized trial.

Ondersma S, Svikis D, Thacker C, Resnicow K, Beatty J, Janisse J Drug Alcohol Depend. 2018; 185:271-277.

PMID: 29482051 PMC: 5889752. DOI: 10.1016/j.drugalcdep.2017.12.022.