Analyzing dependence structure of obesity and high blood pressure: A copula approach

China's economy has experienced remarkable growth in past 20 years. With rapid economic growth, Chinese people have enjoyed significant nutritional improvements. Meanwhile, with the changes in lifestyle, dietary behavior and other aspects, the prevalence of obesity and high blood pressure has a...

Full description

Saved in:
Bibliographic Details
Main Authors: Dai J., Zi C., Sriboonchitta S., He Z.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84872796130&partnerID=40&md5=9b5560bf01d8439cee289cce25ab75c4
http://cmuir.cmu.ac.th/handle/6653943832/1228
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
id th-cmuir.6653943832-1228
record_format dspace
spelling th-cmuir.6653943832-12282014-08-29T09:20:22Z Analyzing dependence structure of obesity and high blood pressure: A copula approach Dai J. Zi C. Sriboonchitta S. He Z. China's economy has experienced remarkable growth in past 20 years. With rapid economic growth, Chinese people have enjoyed significant nutritional improvements. Meanwhile, with the changes in lifestyle, dietary behavior and other aspects, the prevalence of obesity and high blood pressure has also increased quickly. The relationship between obesity, high blood pressure and risk of chronic noncommunicable diseases is continuous and consistent. The higher BMI and blood pressure, the greater the chance of heart attack, stroke, kidney disease and etc. The objective of this paper is to analyze how socio-demographic and socioeconomic factors affect the prevelance of obesity and high blood pressure, and find the dependence structure between obesity and high blood pressure (HBP) with the help of copula functions. Computational results were obtained by R programme, and the results show that Frank copula model provides a better estimation than others. The empirical findings of this paper provide useful insights which can be expected to be of interest to public health sectors and local government in the formulation of health management policies especially on obesity, high blood pressure, and related chronic non-communicable disease. ? 2013 Springer-Verlag Berlin Heidelberg. 2014-08-29T09:20:22Z 2014-08-29T09:20:22Z 2013 Conference Paper 9.78364E+12 21945357 10.1007/978-3-642-35443-4-22 95102 http://www.scopus.com/inward/record.url?eid=2-s2.0-84872796130&partnerID=40&md5=9b5560bf01d8439cee289cce25ab75c4 http://cmuir.cmu.ac.th/handle/6653943832/1228 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description China's economy has experienced remarkable growth in past 20 years. With rapid economic growth, Chinese people have enjoyed significant nutritional improvements. Meanwhile, with the changes in lifestyle, dietary behavior and other aspects, the prevalence of obesity and high blood pressure has also increased quickly. The relationship between obesity, high blood pressure and risk of chronic noncommunicable diseases is continuous and consistent. The higher BMI and blood pressure, the greater the chance of heart attack, stroke, kidney disease and etc. The objective of this paper is to analyze how socio-demographic and socioeconomic factors affect the prevelance of obesity and high blood pressure, and find the dependence structure between obesity and high blood pressure (HBP) with the help of copula functions. Computational results were obtained by R programme, and the results show that Frank copula model provides a better estimation than others. The empirical findings of this paper provide useful insights which can be expected to be of interest to public health sectors and local government in the formulation of health management policies especially on obesity, high blood pressure, and related chronic non-communicable disease. ? 2013 Springer-Verlag Berlin Heidelberg.
format Conference or Workshop Item
author Dai J.
Zi C.
Sriboonchitta S.
He Z.
spellingShingle Dai J.
Zi C.
Sriboonchitta S.
He Z.
Analyzing dependence structure of obesity and high blood pressure: A copula approach
author_facet Dai J.
Zi C.
Sriboonchitta S.
He Z.
author_sort Dai J.
title Analyzing dependence structure of obesity and high blood pressure: A copula approach
title_short Analyzing dependence structure of obesity and high blood pressure: A copula approach
title_full Analyzing dependence structure of obesity and high blood pressure: A copula approach
title_fullStr Analyzing dependence structure of obesity and high blood pressure: A copula approach
title_full_unstemmed Analyzing dependence structure of obesity and high blood pressure: A copula approach
title_sort analyzing dependence structure of obesity and high blood pressure: a copula approach
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84872796130&partnerID=40&md5=9b5560bf01d8439cee289cce25ab75c4
http://cmuir.cmu.ac.th/handle/6653943832/1228
_version_ 1681419631303065600