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1
Estimating Potential Reductions in Premature Mortality in New York City From Raising the Minimum Wage to $15.估算纽约市将最低工资提高到15美元后过早死亡人数可能的减少情况。
Am J Public Health. 2016 Jun;106(6):1036-41. doi: 10.2105/AJPH.2016.303188. Epub 2016 Apr 14.
2
Relative Contributions of a Set of Health Factors to Selected Health Outcomes.一组健康因素对选定健康结果的相对贡献。
Am J Prev Med. 2015 Dec;49(6):961-9. doi: 10.1016/j.amepre.2015.07.016.
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County Health Rankings: Relationships Between Determinant Factors and Health Outcomes.县健康排名:决定因素与健康结果之间的关系。
Am J Prev Med. 2016 Feb;50(2):129-35. doi: 10.1016/j.amepre.2015.08.024. Epub 2015 Oct 31.
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Causality and Chance in the Development of Cancer.癌症发展中的因果关系与机遇
N Engl J Med. 2015 Jul 2;373(1):84-8. doi: 10.1056/NEJMsb1502456.
5
A Critical Examination of the "Bad Luck" Explanation of Cancer Risk.对癌症风险“坏运气”解释的批判性审视。
Cancer Prev Res (Phila). 2015 Sep;8(9):762-4. doi: 10.1158/1940-6207.CAPR-15-0229. Epub 2015 Jun 29.
6
Is bad luck the main cause of cancer?运气不好是癌症的主要成因吗?
J Natl Cancer Inst. 2015 May 8;107(7). doi: 10.1093/jnci/djv125. Print 2015 Jul.
7
The County Health Rankings: rationale and methods.《县健康排名:原理与方法》
Popul Health Metr. 2015 Apr 17;13:11. doi: 10.1186/s12963-015-0044-2. eCollection 2015.
8
Doll and Peto's quantitative estimates of cancer risks: holding generally true for 35 years.多尔和佩托对癌症风险的定量估计:35年来总体保持正确。
J Natl Cancer Inst. 2015 Mar 3;107(4). doi: 10.1093/jnci/djv044. Print 2015 Apr.
9
A history of the population attributable fraction and related measures.人口归因分数及相关措施的历史。
Ann Epidemiol. 2015 Mar;25(3):147-54. doi: 10.1016/j.annepidem.2014.11.015. Epub 2014 Dec 11.
10
Science Communication. Backlash greets 'bad luck' cancer study and coverage.科学传播。“厄运”癌症研究及相关报道引发强烈反对。
Science. 2015 Jan 16;347(6219):224. doi: 10.1126/science.347.6219.224.

健康公平与将人群健康原因视为总和为100的谬误

Health Equity and the Fallacy of Treating Causes of Population Health as if They Sum to 100.

作者信息

Krieger Nancy

机构信息

Nancy Krieger is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.

出版信息

Am J Public Health. 2017 Apr;107(4):541-549. doi: 10.2105/AJPH.2017.303655.

DOI:10.2105/AJPH.2017.303655
PMID:28272952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5343713/
Abstract

Numerous examples exist in population health of work that erroneously forces the causes of health to sum to 100%. This is surprising. Clear refutations of this error extend back 80 years. Because public health analysis, action, and allocation of resources are ill served by faulty methods, I consider why this error persists. I first review several high-profile examples, including Doll and Peto's 1981 opus on the causes of cancer and its current interpretations; a 2015 high-publicity article in Science claiming that two thirds of cancer is attributable to chance; and the influential Web site "County Health Rankings & Roadmaps: Building a Culture of Health, County by County," whose model sums causes of health to equal 100%: physical environment (10%), social and economic factors (40%), clinical care (20%), and health behaviors (30%). Critical analysis of these works and earlier historical debates reveals that underlying the error of forcing causes of health to sum to 100% is the still dominant but deeply flawed view that causation can be parsed as nature versus nurture. Better approaches exist for tallying risk and monitoring efforts to reach health equity.

摘要

在人群健康领域,有许多实例表明,某些研究错误地将健康原因的总和设定为100%。这令人惊讶。对这一错误的明确驳斥可以追溯到80年前。由于错误的方法不利于公共卫生分析、行动和资源分配,我思考了为什么这个错误仍然存在。我首先回顾几个备受瞩目的例子,包括多尔和皮托1981年关于癌症病因的著作及其当前的解读;2015年发表在《科学》杂志上的一篇备受关注的文章,声称三分之二的癌症归因于偶然性;以及有影响力的网站“县健康排名与路线图:逐县构建健康文化”,其模型将健康原因的总和设定为100%:物理环境(10%)、社会和经济因素(40%)、临床护理(20%)和健康行为(30%)。对这些研究以及早期历史辩论的批判性分析表明,将健康原因总和设定为100%这一错误的背后,是仍然占主导地位但存在严重缺陷的观点,即因果关系可以被解析为先天与后天。在计算风险和监测实现健康公平的努力方面,存在更好的方法。