‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’

Abstract Background This study aims to analyze the trends of premature mortality caused from four major non-communicable diseases (NCDs), namely cardiovascular disease (CVD), cancer, chronic respiratory diseases, and diabetes in Nanjing between 2007 and 2018 and project the ability to achieve the “H...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Huafeng Yang, Yali Fu, Xin Hong, Hao Yu, Weiwei Wang, Fengxia Sun, Jinyi Zhou, Nan Zhou
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Acceso en línea:https://doaj.org/article/bbffc6d24de5492aa6fd4c12b18e6a33
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bbffc6d24de5492aa6fd4c12b18e6a33
record_format dspace
spelling oai:doaj.org-article:bbffc6d24de5492aa6fd4c12b18e6a332021-11-28T12:12:45Z‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’10.1186/s12889-021-12018-71471-2458https://doaj.org/article/bbffc6d24de5492aa6fd4c12b18e6a332021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12018-7https://doaj.org/toc/1471-2458Abstract Background This study aims to analyze the trends of premature mortality caused from four major non-communicable diseases (NCDs), namely cardiovascular disease (CVD), cancer, chronic respiratory diseases, and diabetes in Nanjing between 2007 and 2018 and project the ability to achieve the “Healthy China 2030” reduction target. Methods Mortality data of four major NCDs for the period 2007–2018 were extracted from the Death Information Registration and Management System of Chinese Center for Disease Control and Prevention. Population data for Nanjing were provided by the Nanjing Bureau of Public Security. The premature mortality was calculated using the life table method. Joinpoint regression model was used to estimate the average annual percent changes (AAPC) in mortality trends. Results From 2007 to 2018, the premature mortality from four major NCDs combined in Nanjing decreased from 15.5 to 9.5%, with the AAPC value at − 4.3% (95% CI [− 5.2% to − 3.4%]). Overall, it can potentially achieve the target, with a relative reduction 28.6%. The premature mortality from cancer, CVD, chronic respiratory diseases and diabetes all decreased, with AAPC values at − 4.2, − 5.0%, − 5.9% and − 1.6% respectively. A relative reduction of 40.6 and 41.2% in females and in rural areas, but only 21.0 and 12.8% in males and in urban areas were projected. Conclusion An integrated approach should be taken focusing on the modifiable risk factors across different sectors and disciplines in Nanjing. The prevention and treatment of cancers, diabetes, male and rural areas NCDs should be enhanced.Huafeng YangYali FuXin HongHao YuWeiwei WangFengxia SunJinyi ZhouNan ZhouBMCarticleNon-communicable diseases (NCDs)Premature mortalityAverage annual percentage changes (AAPC)TrendPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Non-communicable diseases (NCDs)
Premature mortality
Average annual percentage changes (AAPC)
Trend
Public aspects of medicine
RA1-1270
spellingShingle Non-communicable diseases (NCDs)
Premature mortality
Average annual percentage changes (AAPC)
Trend
Public aspects of medicine
RA1-1270
Huafeng Yang
Yali Fu
Xin Hong
Hao Yu
Weiwei Wang
Fengxia Sun
Jinyi Zhou
Nan Zhou
‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
description Abstract Background This study aims to analyze the trends of premature mortality caused from four major non-communicable diseases (NCDs), namely cardiovascular disease (CVD), cancer, chronic respiratory diseases, and diabetes in Nanjing between 2007 and 2018 and project the ability to achieve the “Healthy China 2030” reduction target. Methods Mortality data of four major NCDs for the period 2007–2018 were extracted from the Death Information Registration and Management System of Chinese Center for Disease Control and Prevention. Population data for Nanjing were provided by the Nanjing Bureau of Public Security. The premature mortality was calculated using the life table method. Joinpoint regression model was used to estimate the average annual percent changes (AAPC) in mortality trends. Results From 2007 to 2018, the premature mortality from four major NCDs combined in Nanjing decreased from 15.5 to 9.5%, with the AAPC value at − 4.3% (95% CI [− 5.2% to − 3.4%]). Overall, it can potentially achieve the target, with a relative reduction 28.6%. The premature mortality from cancer, CVD, chronic respiratory diseases and diabetes all decreased, with AAPC values at − 4.2, − 5.0%, − 5.9% and − 1.6% respectively. A relative reduction of 40.6 and 41.2% in females and in rural areas, but only 21.0 and 12.8% in males and in urban areas were projected. Conclusion An integrated approach should be taken focusing on the modifiable risk factors across different sectors and disciplines in Nanjing. The prevention and treatment of cancers, diabetes, male and rural areas NCDs should be enhanced.
format article
author Huafeng Yang
Yali Fu
Xin Hong
Hao Yu
Weiwei Wang
Fengxia Sun
Jinyi Zhou
Nan Zhou
author_facet Huafeng Yang
Yali Fu
Xin Hong
Hao Yu
Weiwei Wang
Fengxia Sun
Jinyi Zhou
Nan Zhou
author_sort Huafeng Yang
title ‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
title_short ‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
title_full ‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
title_fullStr ‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
title_full_unstemmed ‘Trend in premature mortality from four major NCDs in Nanjing, China, 2007–2018’
title_sort ‘trend in premature mortality from four major ncds in nanjing, china, 2007–2018’
publisher BMC
publishDate 2021
url https://doaj.org/article/bbffc6d24de5492aa6fd4c12b18e6a33
work_keys_str_mv AT huafengyang trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT yalifu trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT xinhong trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT haoyu trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT weiweiwang trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT fengxiasun trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT jinyizhou trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
AT nanzhou trendinprematuremortalityfromfourmajorncdsinnanjingchina20072018
_version_ 1718408164550901760