了解人道主义移民与东道国人口相比心理困扰加剧的模式和预测因素:使用澳大利亚两个国家数据来源进行比较匹配分析。

IF 6.1 2区 医学 Q1 PSYCHIATRY
Demelash Woldeyohannes Handiso, Jacqueline A Boyle, Eldho Paul, Frances Shawyer, Graham Meadows, Joanne C Enticott
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引用次数: 0

摘要

目的:了解与东道国人口相比,人道主义移民心理困扰(EPD)升高的模式和预测因素对于设计有效的心理健康干预措施至关重要。然而,现有的研究对环境污染的患病率提出了相互矛盾的结果。本研究使用大型人口水平数据集调查了人道主义移民和澳大利亚出生的成年人的EPD患病率及其相关因素。方法:对Kessler 6分(6 ~ 30分)进行二分,将得分高于19分定义为EPD,可能为严重精神疾病。比较1:2匹配分析使用了来自澳大利亚建设新生活的人道主义移民数据和来自全国健康调查的澳大利亚出生比较者。每个人道主义移民按年龄、性别和地点与两名澳大利亚出生的居民相匹配。修正泊松回归确定了两组EPD的预测因子。结果:人道主义移民的EPD (17.2%, 95% CI: 15.5, 18.9)高于澳大利亚出生的EPD (14.5%, 95% CI: 13.3, 15.6),在调整关键因素后,调整后的相对风险(aRR)的95%置信区间为1.16%,95% CI: 1.11, 1.21)。在两组中,女性的aRR均高于男性,且效应大小相似:澳大利亚出生的为1.06 (95% CI: 1.04, 1.08),人道主义移民为1.04 (95% CI: 1.02, 1.07)。年龄对痛苦的影响在澳大利亚出生的个体中更为明显:与65岁以上年龄组相比,澳大利亚出生的最年轻组(18-24岁)的aRR为1.36 (95% CI: 1.28, 1.43),人道主义移民的aRR为1.19 (95% CI: 1.12, 1.27)。与健康状况良好相比,人道主义移民的aRR分别为2.13 (95% CI: 2.03, 2.26)和1.69 (95% CI: 1.61, 1.79),澳大利亚出生的aRR分别为1.94 (95% CI: 1.82, 2.05)和1.48 (95% CI: 1.43, 1.56)。与收入最高的五分之一相比,澳大利亚出生的最低收入人群的痛苦程度更高(aRR: 1.11 [95% CI: 1.06-1.15]),对人道主义移民没有显著的收入影响。在两组中,自评健康状况较差的女性的arr都高于自评健康状况良好的女性。结论:尽管人道主义移民的痛苦患病率较高,但两组的年龄和性别差异相似。在澳大利亚出生的成年人中,收入水平是一个因素,但在人道主义移民中则不是。在临床上,这突出了对文化敏感和特定群体的心理健康支持的必要性。从政策角度来看,使用来自大型独立数据集的匹配方法为产生可操作的见解提供了一个宝贵的模型,支持制定有针对性和公平的精神卫生规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

Aims: Understanding 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.

Methods: Kessler 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.

Results: EPD 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.

Conclusions: Although 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.

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来源期刊
CiteScore
7.80
自引率
1.20%
发文量
121
审稿时长
>12 weeks
期刊介绍: Epidemiology and Psychiatric Sciences is a prestigious international, peer-reviewed journal that has been publishing in Open Access format since 2020. Formerly known as Epidemiologia e Psichiatria Sociale and established in 1992 by Michele Tansella, the journal prioritizes highly relevant and innovative research articles and systematic reviews in the areas of public mental health and policy, mental health services and system research, as well as epidemiological and social psychiatry. Join us in advancing knowledge and understanding in these critical fields.
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