The future impact of population growth and aging on coronary heart disease in China: projections from the Coronary Heart Disease Policy Model-China.

Pubmed ID: 19036167

Pubmed Central ID: PMC2631484

Journal: BMC public health

Publication Date: Nov. 27, 2008

Affiliation: Division of General Internal Medicine, Columbia University Medical Center, New York, USA. aem35@columbia.edu

MeSH Terms: Humans, Male, Adult, Female, Aged, Aged, 80 and over, Risk Factors, Age Factors, Middle Aged, Prevalence, Coronary Disease, Risk Assessment, Proportional Hazards Models, Computer Simulation, Models, Statistical, Incidence, Forecasting, Cost of Illness, Disabled Persons, Quality-Adjusted Life Years, Population Dynamics, China, Population Growth

Grants: K08 HL089675

Authors: Gu D, Moran A, Coxson P, Goldman L, Liu J, Zhao D, Chen CS, Cheng J, He J

Cite As: Moran A, Zhao D, Gu D, Coxson P, Chen CS, Cheng J, Liu J, He J, Goldman L. The future impact of population growth and aging on coronary heart disease in China: projections from the Coronary Heart Disease Policy Model-China. BMC Public Health 2008 Nov 27;8:394.

Studies:

Abstract

BACKGROUND: China will experience an overall growth and aging of its adult population in coming decades. We used a computer model to forecast the future impact of these demographic changes on coronary heart disease (CHD) in China. METHODS: The CHD Policy Model is a validated state-transition, computer simulation of CHD on a national scale. China-specific CHD risk factor, incidence, case-fatality, and prevalence data were incorporated, and a CHD prediction model was generated from a Chinese cohort study and calibrated to age-specific Chinese mortality rates. Disability-adjusted life years (DALYs) due to CHD were calculated using standard methods. The projected population of China aged 35-84 years was entered, and CHD events, deaths, and DALYs were simulated over 2000-2029. CHD risk factors other than age and case-fatality were held at year 2000 levels. Sensitivity analyses tested uncertainty regarding CHD mortality coding, the proportion of total deaths attributable to CHD, and case-fatality. RESULTS: We predicted 7.8 million excess CHD events (a 69% increase) and 3.4 million excess CHD deaths (a 64% increase) in the decade 2020-2029 compared with 2000-2009. For 2030, we predicted 71% of almost one million annual CHD deaths will occur in persons >or=65 years old, while 67% of the growing annual burden of CHD death and disability will weigh on adults <65 years old. Substituting alternate CHD mortality assumptions led to 17-20% more predicted CHD deaths over 2000-2029, though the pattern of increases in CHD events and deaths over time remained. CONCLUSION: We forecast that absolute numbers of CHD events and deaths will increase dramatically in China over 2010-2029, due to a growing and aging population alone. Recent data suggest CHD risk factor levels are increasing, so our projections may underestimate the extent of the potential CHD epidemic in China.