Title |
Health Equity and the Fallacy of Treating Causes of Population Health as if They Sum to 100%
|
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Published in |
American Journal of Public Health, April 2017
|
DOI | 10.2105/ajph.2017.303655 |
Pubmed ID | |
Authors |
Nancy Krieger |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 34% |
United Kingdom | 6 | 8% |
Canada | 4 | 5% |
Spain | 2 | 3% |
France | 1 | 1% |
Nigeria | 1 | 1% |
Chile | 1 | 1% |
Curaçao | 1 | 1% |
Norway | 1 | 1% |
Other | 1 | 1% |
Unknown | 31 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 53% |
Scientists | 20 | 27% |
Practitioners (doctors, other healthcare professionals) | 14 | 19% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 134 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 16% |
Student > Ph. D. Student | 19 | 14% |
Student > Master | 18 | 13% |
Student > Doctoral Student | 18 | 13% |
Professor | 9 | 7% |
Other | 21 | 16% |
Unknown | 27 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 37 | 28% |
Medicine and Dentistry | 21 | 16% |
Nursing and Health Professions | 9 | 7% |
Psychology | 5 | 4% |
Environmental Science | 5 | 4% |
Other | 16 | 12% |
Unknown | 41 | 31% |