» Articles » PMID: 30243417

Quality of Life of Individuals Seeking Treatment at Specialist Non-government Alcohol and Other Drug Treatment Services: A Latent Class Analysis

Overview
Specialty Psychiatry
Date 2018 Sep 24
PMID 30243417
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Quality of Life (QOL) is increasingly being recognised as an important indicator of recovery from substance use treatment. The current study aimed to determine if there are distinct subclasses of QOL among a broad range of people attending specialist non-government alcohol and other drug treatment services, and how QOL might be associated with substance use, mental health, treatment and demographic characteristics of these individuals. The sample included 9958 individuals attending specialist non-government treatment for alcohol or other substance use in New South Wales, Australia. Cross sectional data on quality of life, drug use, treatment variables, psychological distress and substance dependence severity was collected. Latent class analysis was conducted to identify quality of life classes within the sample. Regression analyses were then performed to identify which individual, treatment and health outcomes were associated with these classes. Three distinct quality of life classes were identified, and termed low (n = 3048), moderate (n = 4211) and high quality of life (n = 2699). Classes differed across individual characteristics, substance use and psychological distress. As hypothesised, greater substance use and higher distress was evident in the lowest quality of life class. Quality of life is an important measure of an individuals' level of functioning during recovery from substance use. The identification of subgroups of individuals with substance use disorders based on their quality of life classes may help guide interventions to improve their overall global functioning and treatment outcomes.

Citing Articles

Alcohol consumption and health-related quality of life in regional, rural and metropolitan Australia: analysis of cross-sectional data from the Community Health and Rural/Regional Medicine (CHARM) study.

Redwood L, Saarinen K, Ivers R, Garne D, de Souza P, Bonney A Qual Life Res. 2023; 33(2):349-360.

PMID: 37878225 PMC: 10850261. DOI: 10.1007/s11136-023-03522-x.


Comparisons of psychological distress and self-stigma among three types of substance use disorders receiving treatment-as-usual approaches: real-world data from a 9-month longitudinal study.

Chang K, Chen H, Huang S, Chen J, Potenza M, Pakpour A Ther Adv Chronic Dis. 2022; 13:20406223221140393.

PMID: 36483780 PMC: 9723802. DOI: 10.1177/20406223221140393.


Latent profile analysis for quality of life in older patients.

Bajenaru L, Balog A, Dobre C, Draghici R, Prada G BMC Geriatr. 2022; 22(1):848.

PMID: 36368920 PMC: 9652949. DOI: 10.1186/s12877-022-03518-1.


Quality of Life and Opioid Use Motives: Direct and Indirect Associations with Risky Opioid Use in a Community Sample of Adults.

Earnest J, Hatch M, Hurlocker M Subst Use Misuse. 2022; 57(14):2117-2125.

PMID: 36308739 PMC: 10238058. DOI: 10.1080/10826084.2022.2136497.


Heterogeneity of quality of life in young people attending primary mental health services.

Cotton S, Hamilton M, Filia K, Menssink J, Engel L, Mihalopoulos C Epidemiol Psychiatr Sci. 2022; 31:e55.

PMID: 35856272 PMC: 9305730. DOI: 10.1017/S2045796022000427.