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CHD-related/specific mortality of 3.17 million people in a transitioning region: trends, risk factors, and prevention

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Abstract

Background

Demographic shifts cause uncertain changes in the burden of coronary heart disease (CHD) in transitioning regions. We aimed to analyze the trends of CHD burden and its risk factors in Pudong, Shanghai, and explore prevention strategies for transitioning regions.

Methods

We analyzed CHD-related and CHD-specific deaths in Pudong from 2005 to 2020, including the crude mortality rate (CMR), age-standardized mortality rate worldwide (ASMRW), years of life lost (YLL), and age-specific proportions. We also examined the impact of population aging on the burden of CHD. The Joinpoint Regression Program was used to analyze trends, and the decomposition method was used to evaluate the impact of demographics on the mortality rate.

Results

Of the 86,171 CHD-related deaths, 52,152 (60.52%) were CHD-specific deaths. For both CHD-related and CHD-specific deaths, there was a significant increase in the CMR, ASMRW, and YLL rate, except in the 70–79-year age group, which exhibited a distinctive and statistically significant decline in these rates (all P < 0.05). There were steadily increasing trends in the rates caused by aging from 2005 to 2020, with average annual percent changes (AAPCs) of 42.59% and 41.43%, respectively (all P < 0.05).

Conclusions

Our results indicate that the CHD burden in Pudong has been persistently increasing, but in the age group of 70–79 years, substantial declines were observed. The quality of primary healthcare services may be a critical point in addressing the overwhelming CHD burden.

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Data availability

The data that support the findings of this study are available on request from the corresponding author, upon reasonable request.

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Acknowledgements

The authors thank all the participants in the vital statistics system of Pudong New Area from 2005 to 2020 for their great work in data collection and assuring high-quality data.

Funding

This study was funded by a grant from the Shanghai Municipal Program for Medical Leading Talents (2019LJ15 to SJ) and the Shanghai Public Health System Construction Three-Year Action Plan Outstanding Youth Talent Training Program (GWV-10.2-YQ43 to YC).

Author information

Author notes

  1. Yaxin Xu and Qizhe Wang have contributed equally to this work.

Authors and Affiliations

  1. Department of Health Management Centre, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, Shanghai, 200032, China

    Yaxin Xu, Qizhe Wang, Jian Zou, Jing Zhou, Wei Dai, Ming Liu, Xiaopan Li & Sunfang Jiang

  2. Department of General Practice, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, Shanghai, 200032, China

    Yaxin Xu, Qizhe Wang, Ru Liu & Sunfang Jiang

  3. Office of Scientific Research and Information Management, Centres for Disease Control and Prevention, Pudong New Area, Shanghai, 200136, China

    Yichen Chen

  4. Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Pudong New Area, Shanghai, 200136, China

    Yichen Chen & Xiaopan Li

  5. School of Public Health, Fudan University, Shanghai, 200032, China

    Yichen Chen

  6. Shanghai Engineering Research Centre of AI Technology for Cardiopulmonary Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Ming Liu

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  1. Yaxin Xu
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Contributions

YX, JZ, ML, and XL drafted and revised the manuscript. XL, YC, RL, QW, and YX participated in the collection, analysis, and interpretation of the data. YX, JZ, WD, ML, XL, and SJ contributed to data collection and suggestions for analysis. XL and SJ conceived the study, participated in its design and coordination and critically revised the manuscript. All the authors have read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Ming Liu, Xiaopan Li or Sunfang Jiang.

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Xu, Y., Wang, Q., Zou, J. et al. CHD-related/specific mortality of 3.17 million people in a transitioning region: trends, risk factors, and prevention. Aging Clin Exp Res 35, 3147–3156 (2023). https://doi.org/10.1007/s40520-023-02618-1

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  • DOI: https://doi.org/10.1007/s40520-023-02618-1

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