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Distress and Resilience in Resettled Refugees of War: Implications for Screening
There is little work published about predictors of specific trajectory types of distress in refugees of war during early resettlement in a host country. Data about distress (Refugee Health Screener—15 (RHS-15)) and possible predictors of distress were collected at the domestic medical examination (T...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908567/ https://www.ncbi.nlm.nih.gov/pubmed/33573131 http://dx.doi.org/10.3390/ijerph18031238 |
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author | Hollifield, Michael Toolson, Eric C. Verbillis-Kolp, Sasha Farmer, Beth Yamazaki, Junko Woldehaimanot, Tsegaba Holland, Annette |
author_facet | Hollifield, Michael Toolson, Eric C. Verbillis-Kolp, Sasha Farmer, Beth Yamazaki, Junko Woldehaimanot, Tsegaba Holland, Annette |
author_sort | Hollifield, Michael |
collection | PubMed |
description | There is little work published about predictors of specific trajectory types of distress in refugees of war during early resettlement in a host country. Data about distress (Refugee Health Screener—15 (RHS-15)) and possible predictors of distress were collected at the domestic medical examination (T1) within 90 days of arrival and the civil surgeon examination (T2) 11–16 months after T1 for refugee groups from three countries (COU). Descriptive, correlative, analyses of variance, and regression techniques were used to determine trajectory type and their predictors. A higher percentage (7.3%) were distressed at T2 than at T1. By group, the Bhutanese became more distressed, the Burmese became less distressed, and Iraqi’s continued to have high distress. A regression model showed gender, loss, post-migration stress, and self-efficacy to be significant predictors of trajectory type (R(2) = 0.46). When the T1 RHS-15 score was added to the model, observed variance increased (R(2) = 0.53) and T1 RHS score accounted for the majority of variance (r = 0.64, p < 0.001), with post-migration stress accounting for markedly less (β = 0.19, p = 0.03). Loss and self-efficacy became less significant. Loss was, however, a strong predictor of delayed and chronic distress trajectory type. These data suggest that screening for distress should occur at least twice during resettlement to detect those with initial distress and those with delayed distress. Screening should be coupled with identifying other social determinants of health and a comprehensive assessment to determine the need for intervention for secondary prevention (i.e., reducing delayed distress) and treatment (reducing chronic distress). |
format | Online Article Text |
id | pubmed-7908567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79085672021-02-27 Distress and Resilience in Resettled Refugees of War: Implications for Screening Hollifield, Michael Toolson, Eric C. Verbillis-Kolp, Sasha Farmer, Beth Yamazaki, Junko Woldehaimanot, Tsegaba Holland, Annette Int J Environ Res Public Health Article There is little work published about predictors of specific trajectory types of distress in refugees of war during early resettlement in a host country. Data about distress (Refugee Health Screener—15 (RHS-15)) and possible predictors of distress were collected at the domestic medical examination (T1) within 90 days of arrival and the civil surgeon examination (T2) 11–16 months after T1 for refugee groups from three countries (COU). Descriptive, correlative, analyses of variance, and regression techniques were used to determine trajectory type and their predictors. A higher percentage (7.3%) were distressed at T2 than at T1. By group, the Bhutanese became more distressed, the Burmese became less distressed, and Iraqi’s continued to have high distress. A regression model showed gender, loss, post-migration stress, and self-efficacy to be significant predictors of trajectory type (R(2) = 0.46). When the T1 RHS-15 score was added to the model, observed variance increased (R(2) = 0.53) and T1 RHS score accounted for the majority of variance (r = 0.64, p < 0.001), with post-migration stress accounting for markedly less (β = 0.19, p = 0.03). Loss and self-efficacy became less significant. Loss was, however, a strong predictor of delayed and chronic distress trajectory type. These data suggest that screening for distress should occur at least twice during resettlement to detect those with initial distress and those with delayed distress. Screening should be coupled with identifying other social determinants of health and a comprehensive assessment to determine the need for intervention for secondary prevention (i.e., reducing delayed distress) and treatment (reducing chronic distress). MDPI 2021-01-30 2021-02 /pmc/articles/PMC7908567/ /pubmed/33573131 http://dx.doi.org/10.3390/ijerph18031238 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hollifield, Michael Toolson, Eric C. Verbillis-Kolp, Sasha Farmer, Beth Yamazaki, Junko Woldehaimanot, Tsegaba Holland, Annette Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title | Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title_full | Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title_fullStr | Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title_full_unstemmed | Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title_short | Distress and Resilience in Resettled Refugees of War: Implications for Screening |
title_sort | distress and resilience in resettled refugees of war: implications for screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908567/ https://www.ncbi.nlm.nih.gov/pubmed/33573131 http://dx.doi.org/10.3390/ijerph18031238 |
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