The healthy user bias or healthy worker bias is a bias that can damage the validity of epidemiologic studies testing the efficacy of particular therapies or interventions.
Specifically, it is a sampling bias or selection bias: the kind of subjects that take up an intervention, including by enrolling in a clinical trial, are not representative of the general population. People who volunteer for a study can be expected, on average, to be healthier than people who don't volunteer, as they are concerned for their health and are predisposed to follow medical advice,[1] both factors that would aid one's health. In a sense, being healthy or active about one's health is a precondition for becoming a subject of the study, an effect that can appear under other conditions such as studying particular groups of workers. For example, someone in ill health is unlikely to have a job as manual laborer. As a result, studies of manual laborers are studies of people who are currently healthy enough to engage in manual labor, rather than studies of people who would do manual labor if they were healthy enough.[citation needed]
Referencesedit
^Shrank, William H.; Patrick, Amanda R.; Alan Brookhart, M. (May 2011). "Healthy User and Related Biases in Observational Studies of Preventive Interventions: A Primer for Physicians". Journal of General Internal Medicine. 26 (5): 546–550. doi:10.1007/s11606-010-1609-1. ISSN 0884-8734. PMC3077477. PMID 21203857.
Further readingedit
Li, C. -Y.; Sung, F. -C. (1999). "A review of the healthy worker effect in occupational epidemiology". Occupational Medicine. 49 (4): 225–9. doi:10.1093/occmed/49.4.225. PMID 10474913.
Fornalski, K. W.; Dobrzyński, L. (2010). "The Healthy Worker Effect and Nuclear Industry Workers". Dose-Response. 8 (2): 125–147. doi:10.2203/dose-response.09-019.Fornalski. PMC2889508. PMID 20585442.
McMichael, A. J. (1976). Standardized mortality ratios and the “healthy worker effect”: Scratching beneath the surface. Journal of Occupational Medicine, 18, 165–168. doi:10.1097/00043764-197603000-00009
Tabuchi T., Nakayama T., Fukushima W., Matsunaga I., Ohfuji S., Kondo K., Oshima A. (2015). "Determinants of participation in prostate cancer screening: A simple analytical framework to account for healthy-user bias". Cancer Science. 106 (1): 108–114. doi:10.1111/cas.12561. PMC4317786. PMID 25456306.{{cite journal}}: CS1 maint: multiple names: authors list (link)
healthy, user, bias, healthy, user, bias, healthy, worker, bias, bias, that, damage, validity, epidemiologic, studies, testing, efficacy, particular, therapies, interventions, specifically, sampling, bias, selection, bias, kind, subjects, that, take, intervent. The healthy user bias or healthy worker bias is a bias that can damage the validity of epidemiologic studies testing the efficacy of particular therapies or interventions Specifically it is a sampling bias or selection bias the kind of subjects that take up an intervention including by enrolling in a clinical trial are not representative of the general population People who volunteer for a study can be expected on average to be healthier than people who don t volunteer as they are concerned for their health and are predisposed to follow medical advice 1 both factors that would aid one s health In a sense being healthy or active about one s health is a precondition for becoming a subject of the study an effect that can appear under other conditions such as studying particular groups of workers For example someone in ill health is unlikely to have a job as manual laborer As a result studies of manual laborers are studies of people who are currently healthy enough to engage in manual labor rather than studies of people who would do manual labor if they were healthy enough citation needed References edit Shrank William H Patrick Amanda R Alan Brookhart M May 2011 Healthy User and Related Biases in Observational Studies of Preventive Interventions A Primer for Physicians Journal of General Internal Medicine 26 5 546 550 doi 10 1007 s11606 010 1609 1 ISSN 0884 8734 PMC 3077477 PMID 21203857 Further reading editLi C Y Sung F C 1999 A review of the healthy worker effect in occupational epidemiology Occupational Medicine 49 4 225 9 doi 10 1093 occmed 49 4 225 PMID 10474913 Fornalski K W Dobrzynski L 2010 The Healthy Worker Effect and Nuclear Industry Workers Dose Response 8 2 125 147 doi 10 2203 dose response 09 019 Fornalski PMC 2889508 PMID 20585442 McMichael A J 1976 Standardized mortality ratios and the healthy worker effect Scratching beneath the surface Journal of Occupational Medicine 18 165 168 doi 10 1097 00043764 197603000 00009 Tabuchi T Nakayama T Fukushima W Matsunaga I Ohfuji S Kondo K Oshima A 2015 Determinants of participation in prostate cancer screening A simple analytical framework to account for healthy user bias Cancer Science 106 1 108 114 doi 10 1111 cas 12561 PMC 4317786 PMID 25456306 a href Template Cite journal html title Template Cite journal cite journal a CS1 maint multiple names authors list link External links edit Do We Really Know What Makes Us Healthy nbsp Science portal nbsp Mathematics portal nbsp Medicine portal Retrieved from https en wikipedia org w index php title Healthy user bias amp oldid 1209401025, wikipedia, wiki, book, books, library,
