基于签证类型:对在美国的外国出生的人的公司和健康的见解

IF 3.9 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Migration and Health Pub Date : 2023-01-01 DOI:10.1016/j.jmh.2022.100146
Alicia Dunajcik , Solveig Argeseanu Cunningham
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引用次数: 0

摘要

外国出生的人有不同的健康模式,一些社会心理和环境因素可能导致这些差异。一个人重新安置的签证类型是一个重要的考虑因素,因为它与最初移民的原因和抵达美国后的经历有关。本研究从自我评估的健康和诊断的慢性病方面考察了签证类型与健康之间的关系。新移民调查(NIS)是一项对在美国获得合法永久居留权的外国出生的人进行的具有全国代表性的研究,我们使用逻辑回归模型来估计患有慢性病的几率以及报告健康状况良好或不佳的几率。持有难民、庇护、假释和入境后合法化签证类型的人患慢性病的比例最高;即使在控制了其他特征之后,他们也最有可能报告自己的健康状况一般或较差。相反,持有多元化签证的人自我评价的健康状况最高,慢性病最少。总体而言,一个人持有的签证类型与健康和慢性疾病有关,即使在重新安置多年后也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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On the basis of visa type: Insights into incorporation and health among foreign-born people in the United States

Foreign-born people have different patterns of health, and several psychosocial and contextual factors may contribute to these differences. Type of visa with which one resettles is an important consideration because it is linked both with the reason for initially migrating and with experiences after arriving in the U.S. This study examines the association between visa type and health in terms of self-rated health and diagnosed chronic conditions. Using the New Immigrant Survey (NIS), a nationally representative study of foreign-born people at the time of receiving legal permanent residence in the U.S., we used logistic regression models to estimate the odds of having chronic conditions and the odds of reporting fair or poor health. People who had refugee, asylum, parole and post-arrival legalization visa types had the highest prevalence of any chronic condition; they were also most likely to report being in fair or poor self-rated health, even after controlling for other characteristics. Conversely, people who had diversity visas had the highest self-rated health and the fewest chronic conditions. Overall, the type of visa a person holds is associated with health and chronic disease even years after resettlement.

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来源期刊
Journal of Migration and Health
Journal of Migration and Health Social Sciences-Sociology and Political Science
CiteScore
5.70
自引率
8.70%
发文量
65
审稿时长
153 days
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