Title |
Use of NHANES Data to Link Chemical Exposures to Chronic Diseases: A Cautionary Tale
|
---|---|
Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0051086 |
Pubmed ID | |
Authors |
Judy S. LaKind, Michael Goodman, Daniel Q. Naiman |
Abstract |
The National Health and Nutrition Examination Survey (NHANES) is one example of cross-sectional datasets that have been used to draw causal inferences regarding environmental chemical exposures and adverse health outcomes. Our objectives were to analyze four NHANES datasets using consistent a priori selected methods to address the following questions: Is there a consistent association between urinary bisphenol A (BPA) measures and diabetes, coronary heart disease (CHD), and/or heart attack across surveys? Is NHANES an appropriate dataset for investigating associations between chemicals with short physiologic half-lives such as BPA and chronic diseases with multi-factorial etiologies? Data on urinary BPA and health outcomes from 2003-2004, 2005-2006, 2007-2008, and 2009-2010 were available. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 40% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 2 | 20% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Thailand | 1 | <1% |
Unknown | 106 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 15% |
Researcher | 14 | 13% |
Student > Master | 11 | 10% |
Student > Bachelor | 11 | 10% |
Student > Doctoral Student | 7 | 6% |
Other | 27 | 25% |
Unknown | 22 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 22% |
Biochemistry, Genetics and Molecular Biology | 15 | 14% |
Agricultural and Biological Sciences | 10 | 9% |
Environmental Science | 8 | 7% |
Social Sciences | 5 | 5% |
Other | 23 | 21% |
Unknown | 23 | 21% |