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Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis

PURPOSE: Diabetes mellitus is emerging as an epidemic worldwide, and the incidence and prevalence of diabetes have drastically changed in China over the past 30 years, but data on its mortality rate are scarce. This study aimed to analyze the time trends of mortality rates among patients with diabet...

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Autores principales: Su, Binbin, Wang, Yiran, Dong, Yanhui, Hu, Gang, Xu, Yike, Peng, Xiaobo, Wang, Qianyun, Zheng, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801697/
https://www.ncbi.nlm.nih.gov/pubmed/35111135
http://dx.doi.org/10.3389/fendo.2021.777654
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author Su, Binbin
Wang, Yiran
Dong, Yanhui
Hu, Gang
Xu, Yike
Peng, Xiaobo
Wang, Qianyun
Zheng, Xiaoying
author_facet Su, Binbin
Wang, Yiran
Dong, Yanhui
Hu, Gang
Xu, Yike
Peng, Xiaobo
Wang, Qianyun
Zheng, Xiaoying
author_sort Su, Binbin
collection PubMed
description PURPOSE: Diabetes mellitus is emerging as an epidemic worldwide, and the incidence and prevalence of diabetes have drastically changed in China over the past 30 years, but data on its mortality rate are scarce. This study aimed to analyze the time trends of mortality rates among patients with diabetes in the rural and urban population in China between 1987 and 2019. METHODS: The research data come from China’s annual report on national health statistics and the Chinese Health Statistics Yearbook. Age-standardized mortality rates were calculated by using the direct method based on the World Standard Population from the WHO. Joinpoint regression analysis was employed to estimate the annual percent change and average annual percentage changes of mortality rates of diabetes mellitus. RESULTS: An overall trend for increment in diabetes mortality was observed. The crude mortality rates and age-standardized mortality rates of diabetes for urban and rural residents in China showed a significant increasing trend between 1987 and 2019. Mortality due to diabetes in urban areas has been higher than in rural areas for 30 years. However, due to the rapid increase of rural diabetes mortality in the past decade, the gap between the two gradually narrowed. The age-standardized mortality rates of diabetes increased by about 38.5% in urban areas and 254.9% in rural areas over the whole study period. In addition, the age-standardized mortality rate of females with diabetes was higher than that of males, but this pattern began to change in urban areas in 2012. Finally, the age-standardized mortality rates in the elderly population in China are higher with a faster growth rate, especially in rural areas. CONCLUSION: The mortality rate of diabetes is on the rise in China. The rapid growth of the mortality rate of diabetes in rural areas leads to the reduction of the urban–rural gap. Male mortality rates in urban areas have surpassed those of women. At the same time, the mortality rate of diabetes showed obvious elder-group orientation. As China’s population ages, the burden of death and disability caused by diabetes and its complications will continue to increase. These results indicate that diabetes has become a significant public health problem in China. Such an effect increases the demand for strategies aimed at the prevention and treatment of diabetes mellitus. In addition to the prevention and intervention of diabetes in high-risk groups, it is also necessary to establish diabetes screening networks to identify patients with mild symptoms. Early detection and timely intervention can effectively reduce the incidence and mortality of diabetes.
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spelling pubmed-88016972022-02-01 Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis Su, Binbin Wang, Yiran Dong, Yanhui Hu, Gang Xu, Yike Peng, Xiaobo Wang, Qianyun Zheng, Xiaoying Front Endocrinol (Lausanne) Endocrinology PURPOSE: Diabetes mellitus is emerging as an epidemic worldwide, and the incidence and prevalence of diabetes have drastically changed in China over the past 30 years, but data on its mortality rate are scarce. This study aimed to analyze the time trends of mortality rates among patients with diabetes in the rural and urban population in China between 1987 and 2019. METHODS: The research data come from China’s annual report on national health statistics and the Chinese Health Statistics Yearbook. Age-standardized mortality rates were calculated by using the direct method based on the World Standard Population from the WHO. Joinpoint regression analysis was employed to estimate the annual percent change and average annual percentage changes of mortality rates of diabetes mellitus. RESULTS: An overall trend for increment in diabetes mortality was observed. The crude mortality rates and age-standardized mortality rates of diabetes for urban and rural residents in China showed a significant increasing trend between 1987 and 2019. Mortality due to diabetes in urban areas has been higher than in rural areas for 30 years. However, due to the rapid increase of rural diabetes mortality in the past decade, the gap between the two gradually narrowed. The age-standardized mortality rates of diabetes increased by about 38.5% in urban areas and 254.9% in rural areas over the whole study period. In addition, the age-standardized mortality rate of females with diabetes was higher than that of males, but this pattern began to change in urban areas in 2012. Finally, the age-standardized mortality rates in the elderly population in China are higher with a faster growth rate, especially in rural areas. CONCLUSION: The mortality rate of diabetes is on the rise in China. The rapid growth of the mortality rate of diabetes in rural areas leads to the reduction of the urban–rural gap. Male mortality rates in urban areas have surpassed those of women. At the same time, the mortality rate of diabetes showed obvious elder-group orientation. As China’s population ages, the burden of death and disability caused by diabetes and its complications will continue to increase. These results indicate that diabetes has become a significant public health problem in China. Such an effect increases the demand for strategies aimed at the prevention and treatment of diabetes mellitus. In addition to the prevention and intervention of diabetes in high-risk groups, it is also necessary to establish diabetes screening networks to identify patients with mild symptoms. Early detection and timely intervention can effectively reduce the incidence and mortality of diabetes. Frontiers Media S.A. 2022-01-17 /pmc/articles/PMC8801697/ /pubmed/35111135 http://dx.doi.org/10.3389/fendo.2021.777654 Text en Copyright © 2022 Su, Wang, Dong, Hu, Xu, Peng, Wang and Zheng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Su, Binbin
Wang, Yiran
Dong, Yanhui
Hu, Gang
Xu, Yike
Peng, Xiaobo
Wang, Qianyun
Zheng, Xiaoying
Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title_full Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title_fullStr Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title_full_unstemmed Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title_short Trends in Diabetes Mortality in Urban and Rural China, 1987–2019: A Joinpoint Regression Analysis
title_sort trends in diabetes mortality in urban and rural china, 1987–2019: a joinpoint regression analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801697/
https://www.ncbi.nlm.nih.gov/pubmed/35111135
http://dx.doi.org/10.3389/fendo.2021.777654
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