ArticleEpidemiology and psychiatric sciences2026
Estimating burden of disease attributable to child maltreatment using findings from the Australian Child Maltreatment Study.
Article in Epidemiology and psychiatric sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsPrevention of child maltreatment - incorporating physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence - is a clearly defined global policy priority. Global Burden of Disease studies have focused on estimating burden attributable to childhood sexual abuse omitting other forms of child maltreatment. This study aims to estimate burden attributable to child maltreatment using data from the first comprehensive national study, the Australian Child Maltreatment Study (ACMS), accounting for the co-occurrence of multiple forms, the complex impact of multi-type maltreatment and the contribution of interrelated factors.
methodsWe estimated burden attributable to child maltreatment by age and gender for Australia in 2021. Risk-outcome pairs that met criteria for sufficient evidence for a causal relationship were included. Relative risks were estimated as a function of exposure based on data from the ACMS incorporating increased risk with multi-type maltreatment and adjustment for confounding. Levels of exposure in each of the 32 mutually exclusive combinations or patterns of child maltreatment were estimated based on ACMS data by age and gender. The theoretical minimum risk exposure level was determined as no exposure to child maltreatment in the population and population attributable fractions (PAFs) were calculated. Attributable mortality, years of life lost, years lived with disability and disability-adjusted life years (DALYs) were estimated by multiplying PAFs by the relevant burden of disease estimates by age and gender for Australia in 2021. Sensitivity analyses were conducted to assess the robustness of the results. Uncertainty was propagated into attributable burden estimates using Monte Carlo simulation methods.
resultsOverall, child maltreatment accounted for 6.6% (95% uncertainty interval (UI), 6.2-6.9%) of all DALYs for women and 6.4% (95% UI, 6.0-6.7%) of all DALYs for men in Australia in 2021. An estimated 71.2% of self-harm, 57.1% of anxiety disorders and 49.3% of major depressive disorder (MDD) DALYs in women, and 63.8% of self-harm, 55.9% of anxiety disorders and 42.9% of MDD DALYs in men were attributable to child maltreatment.
conclusionsChild maltreatment contributes to a substantial proportion of burden of disease in Australia, equivalent to leading lifestyle-related risk factors such as high body mass index, high blood pressure and smoking. This research significantly advances knowledge of the disease burden attributable to child maltreatment and provides novel methodology for measuring the impact of all five forms of child maltreatment combined on mental health and health risk behaviours nationally and globally.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.