Cardiovascular disease (CVD): assessment, prediction and policy implications.
BMC Public Health
; 21(1): 1299, 2021 07 02.
Article
em En
| MEDLINE
| ID: mdl-34215234
ABSTRACT
BACKGROUND:
The study aims to predict and assess cardiovascular disease (CVD) patterns in highly affected countries such as Pakistan, India, China, Kenya, the USA, and Sweden. The data for CVD deaths was gathered from 2005 to 2019.METHODS:
We utilized non-homogenous discrete grey model (NDGM) to predict growth of cardiovascular deaths in selected countries. We take this process a step further by utilizing novel Synthetic Relative Growth Rate (RGR) and Synthetic Doubling Time (Dt) model to assess how many years it takes to reduce the cardiovascular deaths double in numbers.RESULTS:
The results reveal that the USA and China may lead in terms of raising its number of deaths caused by CVDs till 2027. However, doubling time model suggests that USA may require 2.3 years in reducing the cardiovascular deaths.CONCLUSIONS:
This study is significant for the policymakers and health practitioners to ensure the execution of CVD prevention measures to overcome the growing burden of CVD deaths.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doenças Cardiovasculares
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
País/Região como assunto:
Africa
/
Asia
/
Europa
Idioma:
En
Revista:
BMC Public Health
Assunto da revista:
SAUDE PUBLICA
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
China