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The changing patterns and correlates of population‐level polysubstance use in Australian youth: a multi‐group latent class analysis of nationally representative samples spanning 12 years
Author(s) -
Chan Gary,
Connor Jason,
Hall Wayne,
Leung Janni
Publication year - 2020
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/add.14761
Subject(s) - polysubstance dependence , demography , cannabis , latent class model , population , residence , social class , young adult , psychology , public health , medicine , injury prevention , poison control , environmental health , substance abuse , gerontology , psychiatry , statistics , mathematics , nursing , sociology , political science , law
Aims To (1) identify population‐level classes of polysubstance use among young Australians between 2004 and 2016, (2) test if these classes changed over the same period, in terms of class prevalence and probabilities of substance use within each class, and (3) identify demographic and health‐related correlates of polysubstance use. Design Repeated cross‐sectional nationally representative household surveys. Setting All Australian states/territories. Participants Young adult samples (aged 18–30 years; 58% females) from the National Drug Strategy Household Surveys ( n = 20 350) Measurements Outcomes were the extent of past‐year use of 10 licit (e.g. alcohol), and illicit substances (e.g. cannabis) were used to derive polysubstance use classes. The correlates were gender, age, psychological distress, general health, language background, personal income, education level, remoteness of residence and socio‐economic index for area of residence. Findings Three polysubstance use classes were consistently identified between 2004 and 2016 (SSABIC: 188349): minimal users (MU, ~60%), mainly tobacco, alcohol and cannabis users (TAC, ~30%) and extended range polysubstance users (POLY, ~10%). There were substantial changes in use of different substances within each class over the study period. For example, smoking decreased in all classes ( P < 0.05), while harmful alcohol use only decreased in the first two classes ( P < 0.05). Factors associated with TAC and POLY were similar over the study period. These included: being male and having an English‐speaking background, a high level of psychological distress, suboptimal health and high personal income. Living in an affluent area was associated with reduced likelihood of being TAC, but an increased likelihood of being POLY. Conclusion At the population‐level among young Australians between 2004 and 2016, six in 10 did not engage in polysubstance use; four in 10 used a limited range of substances (mainly alcohol, tobacco and cannabis) and one in 10 used an extended range of substances. Over time, the types of substance within the extended polysubstance use class changed substantially.