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1.
Eur J Pediatr ; 181(3): 1205-1212, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-34817673

RESUMO

As IQ tests are commonly used as key assessment method, we address the question whether our commonly used standardized IQ tests are appropriate for children from families of diverse cultures and different educational levels in a refugee population. We examined 109 refugee children aged 3-7 years (M = 5.10 years, SD = 1.25) with the "Kaufman Assessment Battery for Children " (KABC-II; Kaufmann & Kaufmann, 2015) on a language-free scale (Scale of Intellectual Functioning, SIF) and learning performance (subtest Atlantis). With a non-verbal IQ of 81.5 (SD = 18.01), the population mean of the refugee children is more than one standard deviation lower than the mean of the German norm population. Standardized scores follow the normal distribution and are not correlated to any of the assessed markers of adversity (flight duration, time spent in Germany, child PTSD in parent rating, parental symptom load, and parental education level).Conclusion: The interpretation of IQ test results for refugee children should be done cautiously as results may underestimate their cognitive capacity. Environmental factors, such as high illiteracy among parents in this study, the lack of institutional education of children and high lifetime stress, may explain our findings.Trial registration: DRKS00021150. What is Known: • There is a high pervasiveness for the use of standardized IQ tests in the German health and education system to determine eligibility for special education and social services. What is New: • Refugee children score significantly lower than German children in a language-free IQ test. As results are normally distributed and not correlated to any of the assessed markers of adversity, the low scores in the refugee group might be due to missing formal education.


Assuntos
Refugiados , Transtornos de Estresse Pós-Traumáticos , Criança , Pré-Escolar , Cognição , Alemanha , Humanos , Pais/psicologia , Transtornos de Estresse Pós-Traumáticos/diagnóstico
2.
BMC Public Health ; 22(1): 48, 2022 01 08.
Artigo em Inglês | MEDLINE | ID: mdl-34996414

RESUMO

BACKGROUND: Accommodation for asylum seekers and refugees (ASR) in Germany differs in many ways depending on a range of political, structural, social, and environmental factors. These contextual differences present a challenge for assessing health impacts of refugee accommodation. We aimed to devise a broad typology of refugee accommodation that allows to assess associations between housing and health of ASR. METHODS: We performed a cluster analysis of population-based, cross-sectional secondary data in Germany to identify clusters of refugee accommodation. We then assessed health disparities across clusters by performing bivariate analysis and linear mixed model regression analysis. RESULTS: We identified four clusters, three of them reflected different types of private accommodation and one pointed to collective accommodation. The collective accommodation cluster clearly differed from the private accommodation clusters in terms of space, area, level of restrictions, social connections and respondent satisfaction. Across private accommodation clusters we also found differences in space, area, and level of restrictions. In regression analysis, belonging to one of the private accommodation cluster was significantly associated with better mental health compared to belonging to the collective accommodation cluster. Physical health was significantly lower in one private accommodation cluster characterized by poor access to public transport and a higher level of restrictions compared to a private accommodation cluster showing better connections and a lower level of restrictions. CONCLUSION: We demonstrate that unfavourable conditions cluster in collective accommodation with negative outcomes for mental health but not for physical health. We also found health disparities across types of private accommodation. We conclude that housing plays a role in the production of health inequalities in ASR but needs to be assessed in a differentiated, multidimensional way.


Assuntos
Refugiados , Estudos Transversais , Alemanha , Habitação , Humanos , Saúde Mental , Refugiados/psicologia
3.
Public Health Rev ; 44: 1605602, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37213704

RESUMO

Objectives: Housing as a social determinant of health should provide not only shelter, but also a feeling of home. We explored psychosocial pathways creating a sense of home and influencing the relationship between housing and health among asylum seekers and refugees (ASR) in high-income countries. Methods: We performed a systematic review. To be included, studies had to be peer-reviewed, published between 1995 and 2022, and focus on housing and health of ASR in high-income countries. We conducted a narrative synthesis. Results: 32 studies met the inclusion criteria. The psychosocial attributes influencing health most often identified were control, followed by expressing status, satisfaction, and demand. Most attributes overlap with material/physical attributes and have an impact on ASR's mental health. They are closely interconnected with each other. Conclusion: Psychosocial attributes of housing play an essential role in the health of ASR; they are closely associated with material/physical attributes. Therefore, future research on housing and health of ASR should routinely study psychosocial attributes, but always in association with physical ones. The connections between these attributes are complex and need to be further explored. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42021239495.

4.
Int J Public Health ; 68: 1605786, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37736387

RESUMO

Objectives: Few studies have assessed whether refugees' health is associated with accommodation characteristics. We aimed to devise a typology of refugee accommodation based on variables on the accommodation and its physical context before assessing its association with health in multivariate analyses. Methods: We performed a cluster analysis based on a hierarchal, agglomerative clustering algorithm using Euclidean Distance and Ward's method. We analysed accommodation clusters based on number of inhabitants, degree of housing deterioration, urbanity of location (urban/rural distinction), and remoteness (walking distance to shops, medical or administrative services). In total, we analysed health and accommodation data of 412 refugees and asylum seekers from 58 different accommodation facilities in the federal state of Baden-Württemberg in the south-west of Germany. Results: Accommodations with a moderate occupation, lowest levels of deterioration, and a central urban location showed the best health outcomes in terms of subjective general health status, depression, and generalized anxiety disorder (GAD). Associations were strongest for GAD and weakest for depression. Conclusion: Our findings inform policymakers on layout and location of refugee collective accommodation centres.


Assuntos
Refugiados , Humanos , Estudos Transversais , Alemanha , Algoritmos , Análise por Conglomerados
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