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Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study
BACKGROUND: Cohort-type data are increasingly used to compare health outcomes of immigrants between countries, e.g. to assess the effects of different national integration policies. In such international comparisons, small differences in cardiovascular diseases risk or mortality rates have been inte...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617948/ https://www.ncbi.nlm.nih.gov/pubmed/31288788 http://dx.doi.org/10.1186/s12889-019-7267-2 |
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author | Sauzet, Odile Razum, Oliver |
author_facet | Sauzet, Odile Razum, Oliver |
author_sort | Sauzet, Odile |
collection | PubMed |
description | BACKGROUND: Cohort-type data are increasingly used to compare health outcomes of immigrants between countries, e.g. to assess the effects of different national integration policies. In such international comparisons, small differences in cardiovascular diseases risk or mortality rates have been interpreted as showing effects of different policies. We conjecture that cohort-type data sets available for such comparisons might not provide unbiased relative risk estimates between countries because of differentials in migration patterns occurring before the cohorts are being observed. METHOD: Two simulation studies were performed to assess whether comparisons are biased if there are differences in 1. the way migrants arrived in the host countries, i.e. in a wave or continuously; 2. the effects on health of exposure to the host country; or 3., patterns of return-migration before a cohort is recruited. In the first simulation cardiovascular disease was the outcome and immortality in the second. Bias was evaluated using a Cox regression model adjusted for age and other dependant variables. RESULTS: Comparing populations from wave vs. continuous migration may lead to bias only if the duration of stay has a dose-response effect (increase in simulated cardiovascular disease risk by 5% every 5 years vs. no risk: hazard-ratio 1.20(0.15); by 10% every 5 years: 1.47(0.14)). Differentials in return-migration patterns lead to bias in mortality rate ratios (MRR). The direction (under- or overestimation) and size of the bias depends on the model (MRR from 0.92(0.01) to 1.09(0.01)). CONCLUSION: The order of magnitude of the effects interpreted as due to integration policies in the literature is the same as the bias in our simulations. Future studies need to take into account duration and relevance of exposure and return-migration to make valid inferences about the effects of integration policies on the health of immigrants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7267-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6617948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66179482019-07-22 Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study Sauzet, Odile Razum, Oliver BMC Public Health Research Article BACKGROUND: Cohort-type data are increasingly used to compare health outcomes of immigrants between countries, e.g. to assess the effects of different national integration policies. In such international comparisons, small differences in cardiovascular diseases risk or mortality rates have been interpreted as showing effects of different policies. We conjecture that cohort-type data sets available for such comparisons might not provide unbiased relative risk estimates between countries because of differentials in migration patterns occurring before the cohorts are being observed. METHOD: Two simulation studies were performed to assess whether comparisons are biased if there are differences in 1. the way migrants arrived in the host countries, i.e. in a wave or continuously; 2. the effects on health of exposure to the host country; or 3., patterns of return-migration before a cohort is recruited. In the first simulation cardiovascular disease was the outcome and immortality in the second. Bias was evaluated using a Cox regression model adjusted for age and other dependant variables. RESULTS: Comparing populations from wave vs. continuous migration may lead to bias only if the duration of stay has a dose-response effect (increase in simulated cardiovascular disease risk by 5% every 5 years vs. no risk: hazard-ratio 1.20(0.15); by 10% every 5 years: 1.47(0.14)). Differentials in return-migration patterns lead to bias in mortality rate ratios (MRR). The direction (under- or overestimation) and size of the bias depends on the model (MRR from 0.92(0.01) to 1.09(0.01)). CONCLUSION: The order of magnitude of the effects interpreted as due to integration policies in the literature is the same as the bias in our simulations. Future studies need to take into account duration and relevance of exposure and return-migration to make valid inferences about the effects of integration policies on the health of immigrants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7267-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-09 /pmc/articles/PMC6617948/ /pubmed/31288788 http://dx.doi.org/10.1186/s12889-019-7267-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sauzet, Odile Razum, Oliver Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title | Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title_full | Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title_fullStr | Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title_full_unstemmed | Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title_short | Bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
title_sort | bias in cohort-based comparisons of immigrants’ health outcomes between countries: a simulation study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617948/ https://www.ncbi.nlm.nih.gov/pubmed/31288788 http://dx.doi.org/10.1186/s12889-019-7267-2 |
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