Title |
Using emergency department-based inception cohorts to determine genetic characteristics associated with long term patient outcomes after motor vehicle collision: Methodology of the CRASH study
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Published in |
BMC Emergency Medicine, September 2011
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DOI | 10.1186/1471-227x-11-14 |
Pubmed ID | |
Authors |
Timothy F Platts-Mills, Lauren Ballina, Andrey V Bortsov, April Soward, Robert A Swor, Jeffrey S Jones, David C Lee, David A Peak, Robert M Domeier, Niels K Rathlev, Phyllis L Hendry, Samuel A McLean |
Abstract |
Persistent musculoskeletal pain and psychological sequelae following minor motor vehicle collision (MVC) are common problems with a large economic cost. Prospective studies of pain following MVC have demonstrated that demographic characteristics, including female gender and low education level, and psychological characteristics, including high pre-collision anxiety, are independent predictors of persistent pain. These results have contributed to the psychological and social components of a biopsychosocial model of post-MVC pain pathogenesis, but the biological contributors to the model remain poorly defined. Recent experimental studies indicate that genetic variations in adrenergic system function influence the vulnerability to post-traumatic pain, but no studies have examined the contribution of genetic factors to existing predictive models of vulnerability to persistent pain. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Mexico | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 1% |
Unknown | 67 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 18% |
Researcher | 11 | 16% |
Student > Master | 8 | 12% |
Student > Bachelor | 7 | 10% |
Professor > Associate Professor | 5 | 7% |
Other | 12 | 18% |
Unknown | 13 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 25% |
Psychology | 9 | 13% |
Nursing and Health Professions | 8 | 12% |
Engineering | 4 | 6% |
Social Sciences | 4 | 6% |
Other | 9 | 13% |
Unknown | 17 | 25% |