加州亚裔美国人健康保险覆盖社会行为因素的多变量分析

IF 3.2 Q1 BUSINESS, FINANCE
N. Wang, I. Ozodiegwu, Shaoqing Gong, Kesheng Wang, Xin Xie
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引用次数: 7

摘要

本研究旨在估计加州成年人和亚裔美国人的无保险患病率,并检查社会行为变量与无保险的关系。从2013-2014年加州健康访谈调查中选择了24136名成年人(18-64岁),其中包括2060名亚裔美国人。采用加权单变量和多变量logistic回归分析来估计潜在因素与无保险的关联。为了评估自变量之间的关系,采用斜主成分聚类分析(OPCCA)将9个变量划分为不相交的聚类。白人、非裔美国人、拉丁美洲人和亚洲人的无保险患病率分别为8.5%、10.3%、24.7%和12.6%。在亚洲人中,中国、菲律宾、日本、韩国和越南的无保险率分别为15.5%、9.2%、6.2%、20.8%和12.1%。在整个样本中,多变量logistic回归分析显示,男性、非公民、低教育程度、高贫困程度和当前吸烟与无保险相关。在亚洲人中,与韩国人相比,菲律宾人和越南人没有保险的几率更低;与此同时,男性、非公民、低教育水平和高贫困程度与无保险几率的增加显著相关。在双变量分析中,年龄较大的人群和目前吸烟的人群与未投保的几率显著相关;然而,在调整了其他因素后,这种关联消失了。将9个自变量分为2个簇,其中同一簇中的变量与另一个簇中的变量具有强相关性,而与另一个簇中的变量具有弱相关性。总之,亚洲人与白人之间以及亚洲亚群体之间的无保险患病率存在差异。男性、非公民、受教育程度低、贫困程度高和目前吸烟与无保险呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariate analyses of social-behavioral factors with health insurance coverage among Asian Americans in California
This study aimed to estimate the prevalence of uninsurance among California adults and Asian Americans, and to examine the associations of social-behavioral variables with uninsurance. A total of 24,136 adults (aged 18–64) including 2,060 Asian Americans were selected from the combined 2013–2014 California Health Interview Survey. Weighted univariate and multivariate logistic regression analyses were used to estimate the associations of potential factors with uninsurance. To evaluate the relationship of independent variables, the oblique principal component cluster analysis (OPCCA) was used to classify 9 variables into disjoint clusters. For Whites, African Americans, Latinos, and Asians, the prevalence of uninsurance was 8.5%, 10.3%, 24.7%, and 12.6%, respectively. Among Asians, the prevalence of uninsurance was 15.5%, 9.2%, 6.2%, 20.8% and 12.1% for Chinese, Filipinos, Japanese, Koreans, and Vietnamese, respectively. In the whole sample, multivariate logistic regression analysis revealed that being male, non-citizen, lower education, higher poverty, and current smoking were associated with uninsurance. Among Asians, compared to Koreans, being Filipinos and Vietnamese were associated with lower odds of being uninsured; meanwhile being male, non-citizen, lower education, and higher poverty were significantly associated with increased odds of uninsurance. Elder age groups and current smoking were significantly associated with increased odds of uninsurance in bivariate analysis; however, such associations disappeared after adjusting for other factors. Nine independent variables were divided into 2 clusters, where the variables in the same cluster were strongly correlated but had weak correlations with the variables in the other cluster. In conclusion, there are differences in the prevalence of uninsurance between Asians and Whites, and among Asian subgroups. Being male, non-citizen, lower education, higher poverty and current smoking were positively significantly associated with uninsurance.
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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