Evidence map›Paper›PMID 40590730›Full record

ArticleAddiction (Abingdon, England)2025

An age-period-cohort-interaction analysis of meth/amphetamine-related deaths in Australia, 2001-2020.

Oisin Stronach, Paul Dietze, Michael Livingston, Amanda Roxburgh

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Oisin StronachSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.ORCID https://orcid.org/0009-0006-1644-7976
Paul DietzeSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Michael LivingstonHarm and Risk Reduction Program, Burnet Institute, Melbourne, Australia.ORCID https://orcid.org/0000-0002-8995-9386
Amanda RoxburghSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-8609-0075

Funding

Australian Government Research Training ProgramNational Health and Medical Research Council APP1173505
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe number of meth/amphetamine related deaths in Australia has quadrupled in the last 20 years, primarily due to drug toxicity and suicide among individuals in their 30s and 40s. Previous analysis of Australian meth/amphetamine-related deaths covered limited timeframes and causes, and there has been no exploration of the effects of changing cohorts on meth/amphetamine mortality. This paper provides comprehensive insights across 20 years into the evolving cohort trends in meth/amphetamine-related deaths in Australia.

methodsAn age-period-cohort-interaction (APC-I) analysis of Australian meth/amphetamine-related deaths (2001-2020) by cause extracted from the National Coronial Information System, a database of all deaths reported to the coroner in Australia and New Zealand.

resultsAPC-I analyses revealed that unintentional drug toxicity deaths peaked at ages 35-38 [Coefficient (Coef) = 0.92; 95% confidence interval (CI) = 1.0-0.8], intentional self-harm deaths peaked at ages 31-34 (Coef = 1.2; 95% CI = 1.4-1.0), unintentional injury deaths peaked at ages 23-26 (Coef = 1.02; 95% CI = 1.2-0.8) and natural cause deaths at 39-42 (Coef = 1.15; 95% CI = 1.4-0.9). Period effects were consistent across all causes, with a mean 29.3% increase in estimated mortality rate from 2001 to 2012, followed by a mean 103.3% increase in estimated mortality rate to 2016, at which time period effects stabilised. Cohort effects revealed that individuals born between 1962 and 1982 (mainly Generation X) faced a higher-than-average mortality risk across all four causes, with risk decreasing in later generations.

conclusionsDespite different age profiles across the various causes of death, cohort effects suggest a single generation (Generation X: people born between 1962 and 1982) is predominantly experiencing the increase in meth/amphetamine-related mortality observed in Australia over the past 20 years. As Generation X ages, the risk of meth/amphetamine-related natural deaths, especially from cardiovascular disease, is likely to increase.

Indexed as

Amphetamine-Related DisordersCentral Nervous System StimulantsMethamphetamineAdolescentAdultAgedAge FactorsAustraliaCause of DeathChildCohort StudiesDrug OverdoseFemaleHumansMaleMiddle AgedCentral Nervous System StimulantsMethamphetamineage period cohort analysisamphetamineepidemiologymethamphetaminemortalityoverdosetoxicity

Identifiers

PMID40590730
PMCPMC12426365

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.