Mortality trend analysis of ischemic heart disease in China between 2010 and 2019: a joinpoint analysis

Abstract

Background This study presented the mortality trend of ischemic heart disease (IHD) in Chinese residents from 2010 to 2019 and provided a basis for further establishment of relevant interventions. Methods Data, such as sex, age, urban and rural areas, and death status, were extracted from the China Death Surveillance Dataset from 2010 to 2019, with mortality and age-adjusted death rates (AADRs) as the main indicators. The joinpoint regression model was used to analyze mortality and AADRs trends in IHD. A semi-structured expert interview was conducted to propose targeted intervention measures and countermeasures. Results We observed an overall upward trend in IHD mortality rates and AADRs in China from 2010 to 2019 (average annual percentage change [AAPC] = 5.14%, AAPCAADRs = 1.60%, P < 0.001). Mortality rates and AADRs increased for both males (AAPC = 4.91%, AAPCAADRs = 1.09%, P < 0.05) and females (AAPC = 5.57%, AAPCAADRs = 1.84%, P < 0.001), with higher mortality rate for males than females but higher variation for females than males. Urban (AAPC = 4.80%, AAPCAADRs = 1.76%, P < 0.05) and rural (AAPC = 5.31%, P < 0.001; AAPCAADRs = 0.99%, P > 0.05) mortality rates increased, with the mortality rate higher in rural areas than in urban areas. In the age analysis, mortality rate was higher in middle-aged and older adults than in other age groups. The age-sex cross-analysis found the highest trend in mortality rates among females aged ≥ 75 years (annual percentage change [APC] = 2.43%, P < 0.05). Conclusions The upward trend in IHD mortality in China from 2010 to 2019, especially among female residents aged ≥ 75 years, poses continuing challenges to public health policies and actions.

Trends of ischemic heart disease mortality attributable to smoking in the five countries with the highest number of smokers during 1990–2019: an age-period-cohort analysis

“…Joinpoint regression analysis has been used extensively in previous studies of trends in cardiovascular disease [ 21 ]. In our study, using Joinpoint software (version 4.9.1.0) to calculate average percent changes (APCs), average annual percent changes (AAPCs), and the corresponding 95% confidence intervals (CIs) for disease-specific mortality rates, it was possible to analyze the magnitude and direction of difference in IHD mortality attributable to smoking over a 30-year period [ 22 ]. All analyses were performed with p < 0.05 as the level of statistical significance.…”

Association between regulatory T cells and ischemic heart disease: a Mendelian randomization study

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