Evidence map›Paper›PMID 40621658›Full record

ArticleEpidemiology and psychiatric sciences2025

Understanding the patterns and predictors of elevated psychological distress among humanitarian migrants compared to the host population: comparative matched analysis using two national data sources from Australia.

Demelash Woldeyohannes Handiso, Jacqueline A Boyle, Eldho Paul, Frances Shawyer, Graham Meadows, Joanne C Enticott

Abstract readComparative Study
In one paragraph

Article in Epidemiology and psychiatric sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Demelash Woldeyohannes HandisoMonash Centre for Health Research and Implementation, Monash University, Australia.ORCID https://orcid.org/0000-0002-4071-795X
Jacqueline A BoyleHealth Systems and Equity, Eastern Health Clinical School, Department of Obstetrics and Gynaecology, Monash University, Australia.
Eldho PaulMonash Centre for Health Research and Implementation, Monash University, Australia.
Frances ShawyerMonash Centre for Health Research and Implementation, Monash University, Australia.
Graham MeadowsMonash Centre for Health Research and Implementation, Monash University, Australia.
Joanne C EnticottMonash Centre for Health Research and Implementation, Monash University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsUnderstanding patterns and predictors of elevated psychological distress (EPD) among humanitarian migrants compared to the host population is critical for designing effective mental health interventions. However, existing research presents conflicting findings on the prevalence of EPD. This study examined EPD prevalence and associated factors in humanitarian migrants and Australian-born adults using large population-level datasets.

methodsKessler 6 scores (range 6-30) were dichotomised, and scores above 19 were defined as EPD and indicative of probable serious mental illness. Comparative 1:2 matched analysis used humanitarian migrant data from the Building a New Life in Australia and Australian-born comparators from the National Health Survey. Each humanitarian migrant was matched by age, sex and location with two Australian-born residents. Modified Poisson regression identified predictors of EPD in both groups.

resultsEPD was higher among humanitarian migrants (17.2%, 95% CI: 15.5, 18.9) compared to Australian-born (14.5%, 95% CI: 13.3, 15.6), with an adjusted relative risk (aRR) with 95% confidence intervals (1.16%, 95% CI: 1.11, 1.21) after adjusting for key factors. In both groups, females had a higher aRR than males, with similar effect sizes: 1.06 (95% CI: 1.04, 1.08) among Australian-born and 1.04 (95% CI: 1.02, 1.07) among humanitarian migrants. The impact of age on distress was more pronounced in Australian-born individuals: compared to the 65+ age group, the youngest group (18-24 years) had an aRR of 1.36 (95% CI: 1.28, 1.43) for Australian-born and 1.19 (95% CI: 1.12, 1.27) for humanitarian migrants. Compared to excellent health, poor and fair self-rated health condition had an aRR of 2.13 (95% CI: 2.03, 2.26) and 1.69 (95% CI: 1.61, 1.79), respectively, for humanitarian migrants and 1.94 (95% CI: 1.82, 2.05) and 1.48 (95% CI: 1.43, 1.56), respectively, for Australian born. Australian-born individuals in the lowest-income quintile had higher distress (aRR: 1.11 [95% CI: 1.06-1.15]) compared to the highest-income quintile, with no significant income effect for humanitarian migrants. In both groups, females with poorer self-rated health had higher aRRs than females reporting excellent health.

conclusionsAlthough distress prevalence was higher in the humanitarian migrants, age and sex differences followed similar patterns in both groups. Income level was a factor in Australian-born adults but not in humanitarian migrants. Clinically, this highlights the need for culturally sensitive and group-specific mental health support. From a policy perspective, the use of matching methodology from large, separate datasets offers a valuable model for generating actionable insights, supporting the development of targeted and equitable mental health programmes.

Indexed as

AltruismPsychological DistressRefugeesStress, PsychologicalTransients and MigrantsAdolescentAdultAustraliaFemaleHealth SurveysHumansInformation SourcesMaleMiddle AgedPrevalenceRisk FactorsAustralian-bornAustralian National Health SurveyBuilding a New Life in Australiaelevated psychological distresshumanitarian migrants

Identifiers

PMID40621658
PMCPMC12281047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.