A STATISTICAL APPROACH TO EVALUATE THE EFFECTS OF OBESITY ON HEALTH-CARE EXPENDITURE

被引：2

作者：

Mancini, Paola ^{[1
]}

Marotta, Giuseppe ^{[1
]}

Nazzaro, Concetta ^{[1
]}

Simonetti, Biagio ^{[1
]}

机构：

[1] Univ Sannio, Dept Social Jurid & Econ Syst, Benevento, Italy

来源：

ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS | 2012年 / 5卷 / 03期

关键词：

Obesity; food safety; health-care expenditure; social costs;

D O I：

10.1285/i20705948v5n3p418

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The problem of studying the causes of obesity is largely discussed in the literature by experts in nutrition and related diseases and is of particular interest in most recent years among scholars of business disciplines, especially as regards the impact on socio-health costs. After an overview of the geographical differences of obesity, related not only to eating habits, but also to lifestyles as well as hereditary factors, the purpose of this paper is try to trace the main functional relationships between BMI and health-care costs through the use of Multiple Corrispondence Analysis and Partial Least Squares Regression.

引用

页码：418 / 424

页数：7

共 20 条

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