Morbidity and mortality during the health transition: a comment on James C. Riley, "Why sickness and death rates do not move parallel to one another over time."

B. Harris
{"title":"Morbidity and mortality during the health transition: a comment on James C. Riley, \"Why sickness and death rates do not move parallel to one another over time.\"","authors":"B. Harris","doi":"10.1093/SHM/12.1.125","DOIUrl":null,"url":null,"abstract":"Throughout most parts of the world, mortality rates have fallen dramatically since the mid-nineteenth century, but morbidity rates appear to have risen.1 James Riley's article is the latest in a series of attempts to explain this paradox. It breaks new ground, in relation to the author's previous work, in its use of a mathematical model to explain the relationship between morbidity and mortality, and in the deployment of new data from the Abthorpe, Ashboume, Llangeitho, and Morcott Friendly Societies.2 However, despite the undoubted importance of Riley's article, many of his conclusions remain open to question. In endeavouring to explain 'why sickness and death rates do not move parallel to one another over time', Riley raises four major issues, which may be summarized as follows: 1. What is the practical significance of the equation P = / X D? 2. To what extent has Riley succeeded in demonstrating the robustness of the friendly society data as objective indicators of health status? 3. What do the data reveal about sickness and health among members of the four societies? 4. What are the implications of Riley's findings for our understanding of the relationship between morbidity and mortality during the period of the 'health transition'? This comment will attempt to highlight the questions raised by Riley's article under each of these headings. What is the practical significance of the equation P= IX D? To what extent has Riley succeeded in demonstrating the robustness of the friendly society data as objective indicators of health status? What do the data reveal about sickness and health among members of the four Societies? What are the implications of Riley's findings for our understanding of the relationship between morbidity and mortality during the period of the 'health transition'?","PeriodicalId":68213,"journal":{"name":"医疗社会史研究","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"医疗社会史研究","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/SHM/12.1.125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Throughout most parts of the world, mortality rates have fallen dramatically since the mid-nineteenth century, but morbidity rates appear to have risen.1 James Riley's article is the latest in a series of attempts to explain this paradox. It breaks new ground, in relation to the author's previous work, in its use of a mathematical model to explain the relationship between morbidity and mortality, and in the deployment of new data from the Abthorpe, Ashboume, Llangeitho, and Morcott Friendly Societies.2 However, despite the undoubted importance of Riley's article, many of his conclusions remain open to question. In endeavouring to explain 'why sickness and death rates do not move parallel to one another over time', Riley raises four major issues, which may be summarized as follows: 1. What is the practical significance of the equation P = / X D? 2. To what extent has Riley succeeded in demonstrating the robustness of the friendly society data as objective indicators of health status? 3. What do the data reveal about sickness and health among members of the four societies? 4. What are the implications of Riley's findings for our understanding of the relationship between morbidity and mortality during the period of the 'health transition'? This comment will attempt to highlight the questions raised by Riley's article under each of these headings. What is the practical significance of the equation P= IX D? To what extent has Riley succeeded in demonstrating the robustness of the friendly society data as objective indicators of health status? What do the data reveal about sickness and health among members of the four Societies? What are the implications of Riley's findings for our understanding of the relationship between morbidity and mortality during the period of the 'health transition'?
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
健康转型期间的发病率和死亡率:对詹姆斯·c·莱利的评论,“为什么疾病和死亡率不会随着时间的推移而彼此平行。”
自19世纪中叶以来,在世界大部分地区,死亡率急剧下降,但发病率似乎有所上升詹姆斯·莱利(James Riley)的文章是解释这一悖论的一系列尝试中的最新一篇。与作者之前的工作相比,它在使用数学模型来解释发病率和死亡率之间的关系以及从Abthorpe, Ashboume, Llangeitho和Morcott友好协会获得的新数据方面开辟了新路。然而,尽管Riley的文章无疑是重要的,但他的许多结论仍有待商榷。在努力解释"为什么疾病和死亡率不会随着时间的推移而彼此平行"时,莱利提出了四个主要问题,可以总结如下:方程P = / X D的实际意义是什么?2. 莱利在多大程度上成功地证明了友好社会数据作为健康状况客观指标的稳健性?3.这些数据揭示了四个社会成员的疾病和健康状况?4. 莱利的发现对我们理解“健康转型”期间发病率和死亡率之间的关系有什么意义?这篇评论将试图突出莱利的文章在这些标题下提出的问题。方程P= IX D的实际意义是什么?莱利在多大程度上成功地证明了友好社会数据作为健康状况客观指标的稳健性?这些数据揭示了四个协会成员的疾病和健康状况?莱利的发现对我们理解“健康转型”期间发病率和死亡率之间的关系有什么意义?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
140
期刊最新文献
Erratum: The 'Miracle of Childbirth': the Portrayal of Parturient Women in Medieval Miracle Narratives. Erratum: Beyond the Medical Text: Health and Illness in Early Medieval Italian Sources. Review: A Social History of Psychology The Chinese Medicine in Contemporary China: Plurality and Synthesis Medical education at St Bartholomew's hospital 1123-1995
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1