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肥胖对美国慢性病的影响:一种灵活的 Copula 方法。

The effect of obesity on chronic diseases in USA: a flexible copula approach.

机构信息

Department of Economics, Universidad de Santiago de Chile, Santiago, Chile.

School of Education and Social Sciences, Universidad Andres Bello, Santiago, Chile.

出版信息

Sci Rep. 2023 Feb 1;13(1):1831. doi: 10.1038/s41598-023-28920-6.

Abstract

We analyze the effect of obesity on the incidence of hypertension, hyperlipidemia and diabetes in USA using a health production theoretical framework along with a bivariate flexible semi-parametric recursive copula model that account for endogeneity. In this approach, the effects of control variables are flexibly determined using additive predictors that allow for a variety of effects. Our findings suggest that there exist a positive and significant effect of obesity on the prevalence of all chronic diseases examined. In particular, after endogeneity is accounted for, the probability of having hypertension, hyperlipidemia and diabetes for obese individuals are, respectively, 35%, 28% and 11% higher than those under the obesity threshold. These findings suggest that lowering obesity rates could lead to significant reductions in the morbidity and mortality associated with these diseases.

摘要

我们使用健康生产理论框架以及双变量灵活半参数递归 Copula 模型来分析肥胖对美国高血压、高血脂和糖尿病发病率的影响,该模型考虑了内生性。在这种方法中,控制变量的影响通过允许各种效果的加法预测因子灵活确定。我们的研究结果表明,肥胖对所检查的所有慢性疾病的患病率存在正向且显著的影响。特别是,在考虑了内生性之后,肥胖者患高血压、高血脂和糖尿病的概率分别比肥胖阈值以下的个体高 35%、28%和 11%。这些发现表明,降低肥胖率可能会显著降低与这些疾病相关的发病率和死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58bd/9892574/e33cde0d10b6/41598_2023_28920_Fig1_HTML.jpg

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