ArticleThe Medical journal of Australia2026
Stigmatising Attitudes Towards People With Depression, Bipolar Disorder, Borderline Personality, ADHD and Early and Long-Term/Untreated Schizophrenia: Representative Survey of Australian Adults.
Article in The Medical journal of Australia, 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
5 authors.
Funding
Abstract
objectivesTo examine the prevalence in Australia of stigmatising attitudes towards people with six different mental health conditions: depression, early and long-term/untreated forms of schizophrenia, bipolar disorder, borderline personality disorder and attention-deficit/hyperactivity disorder (ADHD).
designCross-sectional population-based survey using the probability-based online panel Life in Australia. Participants responded to one of six vignettes describing a person with a mental health condition.
settingAustralia, 11-25 November 2024.
participantsRepresentative sample of 6032 adult residents of Australia.
main outcome measuresProportions of participants who agreed or strongly agreed with 13 stigmatising attitudes and proportions who were definitely or probably unwilling to interact in five different social situations with the person in the vignette.
resultsStigmatising attitudes were generally lowest for depression and highest for long-term schizophrenia and borderline personality disorder. Beliefs about unpredictability had the highest endorsement: 61.9% (95% confidence interval [CI], 58.2%-65.5%) for long-term schizophrenia; 56.3% (95% CI, 52.5%-59.9%) for borderline personality disorder; 52.8% (95% CI, 49.0%-56.6%) for early schizophrenia; 50.7% (95% CI, 47.0%-54.4%) for bipolar disorder; 29.2% (95% CI, 25.9%-32.7%) for ADHD and 23.3% (95% CI, 20.2%-26.7%) for depression. Forcing treatment was endorsed by 25.9% (95% CI, 22.6%-29.5%) for early schizophrenia and 24.1% (95% CI, 21.0%-27.6%) for long-term schizophrenia. For all conditions, at least 20% of participants did not agree that the person in the vignette was a person of worth, with agreement ranging from 78.5% (95% CI, 75.1%-81.6%) for early schizophrenia to 67.4% (95% CI, 63.8%-70.9%) for long-term schizophrenia. There were high levels of unwillingness for the person in the vignette to marry into the family: ranging from 29.7% (95% CI, 26.4%-33.2%) for ADHD to 64.4% (95% CI, 60.7%-67.9%) for long-term schizophrenia.
conclusionsStigma related to mental health conditions remains prevalent in Australia and contributes to social and economic exclusion among those affected. Sustained action is needed across multiple sectors to address stigma, particularly towards conditions such as schizophrenia and borderline personality disorder, which are poorly understood within the community.
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.