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Urban ASMR declines, rural stagnates, and older adults show increasing type-specific mortality; rural lung and colorectal, plus female breast and cervical cancers, rise in recent cohorts.",{"@graph":14,"@context":77},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/changing-patterns-in-cancer-mortality-from-1987-to-2020-in-china/380795/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/changing-patterns-in-cancer-mortality-from-1987-to-2020-in-china/380795.png","ImageObject",300,407,{"name":42,"@type":43},"nayy☆","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-24","2026-09-24",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69,73],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main goal of the study on cancer mortality in China?","Question",{"text":63,"@type":64},"The study analyzes long-term mortality trends for overall cancer and 10 subtypes in China and evaluates age-period-cohort effects to inform prevention and intervention programs.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How were trend changes and age-period-cohort effects assessed between 1987 and 2020?",{"text":68,"@type":64},"Joinpoint analysis detects changes in mortality trends, and age-period-cohort modeling estimates age, period, and cohort effects, including net drift, local drift, and relative risks.",{"name":70,"@type":61,"acceptedAnswer":71},"What do the findings show about urban versus rural cancer mortality?",{"text":72,"@type":64},"Urban China shows a steady decline in age-standardized cancer mortality, while rural areas have not decreased significantly; many cancer deaths among older adults trend upward.",{"name":74,"@type":61,"acceptedAnswer":75},"Which cancers and population groups require higher priority according to the conclusions?",{"text":76,"@type":64},"Higher priority is suggested for rising mortality related to lung, colorectal, female breast, and cervical cancer, and for the increasing cancer death burden in rural areas, supported by targeted public health actions.","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},380795,1790270347,{"code":4,"msg":86,"data":87},"success",[88,92,96,100,105,110,114,118,123,126,130],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Exam",70,"exam",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},5,"Comic",60,"comic",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},6,"Technology",50,"technology",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},7,40,"healthcare",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},"Research & Report",30,"research-report",{"id":119,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},9,"Religion & Spirituality",20,"religion-spirituality",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":121,"slug":125},"World Cup","world-cup",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":127,"slug":129},10,"Lifestyle","lifestyle",{"id":131,"doc_module":4,"doc_module_name":25,"category_name":132,"show_sort_weight":101,"slug":133},19,"General","general",{"code":4,"msg":86,"data":135},{"doc_id":83,"user_id":136,"nickname":42,"user_avatar":137,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":143,"language":144,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":12,"update_tm":148,"read_time":149},962090893153,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","cancers   \nArticle  \nChanging Patterns in Cancer Mortality from 1987 to 2020 in China  \nBinbin Su 1,†, Panliang Zhong 1,†, Yundong Xuan 2, Junqing Xie 3, Yu Wu 1, Chen Chen 1, Yihao Zhao 1, Xinran Shen 1 and Xiaoying Zheng 1, *  \nCitation: Su, B.; Zhong, P.; Xuan, Y.; Xie, J.; Wu, Y.; Chen, C.; Zhao, Y.; Shen, X.; Zheng, X. Changing Patterns in Cancer Mortality from 1987 to 2020 in China. Cancers 2023, 15, 476. [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)cancers15020476  \nAcademic Editor: Stefan Ambs  \nReceived: 1 December 2022  \nRevised: 1 January 2023  \nAccepted: 4 January 2023  \nPublished: 12 January 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China  \n2 Department of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China  \n3 Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford OX3 7LD, UK  \n* Correspondence: [zhengxiaoying@sph.pumc.edu.cn](zhengxiaoying@sph.pumc.edu.cn)  \n† These authors contributed equally to this work.  \nSimple Summary: We analyzed the long-term mortality trends and their Age-Period-cohort effects for overall cancer and its 10 sub-types in China. The results show that the overall cancer ASMR has declined, but the absolute cancer cases kept increasing due to the growing elderly population, with the death rates for almost all types of cancer among older Chinese continued to rise during the past three decades. The birth cohort RRs peaked in 1920–1930 and tended to decline in successive cohorts for most cancers except for leukemia, lung cancer in rural, and breast and cervical cancer in females, whose relative risks were rising in the very recent cohorts. The rising mortality related to lung, colorectal, breast and cervical cancer and the increasing burden of cancer death in rural areas should receive higher priority in managing cancer burden and calls for targeted public health actions to reverse the trend.  \nAbstract: Background: China has the highest number of new cancer cases and deaths worldwide, posing huge health and economic burdens to society and affected families. This study comprehensively analyzed secular trends of national cancer mortality statistics to inform future prevention and intervention programs in China. Methods: The annual estimate of overall cancer mortality and its major subtypes were derived from the National Health Commission (NHC). Joinpoint analysis was used to detect changes in trends, and we used age-period-cohort modeling to estimate cohort and period effects in Cancers between 1987 and 2020 . Net drift (overall annual percentage change), local drift (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rate), and period (cohort) relative risks were calculated. Results: The age-standardized cancer mortality in urban China has shown a steady downward trend but has not decreased significantly in rural areas. Almost all cancer deaths in urban areas have shown a downward trend, except for colorectal cancer in men. Decreasing mortality from cancers in rural of the stomach, esophagus, liver, leukemia, and nasopharynx was observed, while lung, colorectal cancer female breast, and cervical cancer mortality increased. Birth cohort risks peaked in the cohorts born around 1920–1930 and tended to decline in successive cohorts for most cancers except for leukemia, lung cancer in rural, and breast and cervical cancer in females, whose relative risks were rising in the very recent ","cbCaiqv31LAYcCwD","https://ap.wps.com/l/cbCaiqv31LAYcCwD","pdf",2446583,13,"English","# Introduction\n## Overview of China’s cancer mortality burden\n# Methods\n## Data source and study period (1987–2020)\n## Joinpoint analysis for trend changes\n## Age-period-cohort modeling for cohort and period effects\n# Results\n## Urban versus rural mortality trends\n## Type-specific changes (major subtypes)\n## Cohort patterns and recent increases\n# Conclusions\n## Implications for cancer burden management and public health actions","[{\"question\":\"What is the main goal of the study on cancer mortality in China?\",\"answer\":\"The study analyzes long-term mortality trends for overall cancer and 10 subtypes in China and evaluates age-period-cohort effects to inform prevention and intervention programs.\"},{\"question\":\"How were trend changes and age-period-cohort effects assessed between 1987 and 2020?\",\"answer\":\"Joinpoint analysis detects changes in mortality trends, and age-period-cohort modeling estimates age, period, and cohort effects, including net drift, local drift, and relative risks.\"},{\"question\":\"What do the findings show about urban versus rural cancer mortality?\",\"answer\":\"Urban China shows a steady decline in age-standardized cancer mortality, while rural areas have not decreased significantly; many cancer deaths among older adults trend upward.\"},{\"question\":\"Which cancers and population groups require higher priority according to the conclusions?\",\"answer\":\"Higher priority is suggested for rising mortality related to lung, colorectal, female breast, and cervical cancer, and for the increasing cancer death burden in rural areas, supported by targeted public health actions.\"}]","Changing Patterns in Cancer Mortality from 1987 to 2020 in China | PDF",1790242162,33]