Objective-To assess participation bias in the assembly of a specimen repository for genetic studies and to examine the association of participation with outcome within the Olmsted County myocardial infarction (MI) cohort. January 1, 1979, to May 31, 2006, 3081 persons had MI in Olmsted County, MN. Face-to-face contact was used to recruit patients who were hospitalized for an acute event. Persons who had had an MI before establishment of this repository were contacted by mail. At initial contact, we sought consent to use blood samples for genetic studies. Persons who refused were contacted by mail and were asked to consent to the use of stored tissue samples. For deceased subjects, stored tissue was collected when available.
Participants and Methods-FromResults-Of the 3081 persons in the Olmsted County MI cohort, 1994 participated in the study; 1007 (50.5%) blood and 987 (49.5%) tissue specimens were provided. Participants were more likely to be younger men with hypertension, comorbidities, and non-ST-segment elevation MI (all, P<. 05). Participants who provided blood specimens were more likely to have non-ST-segment elevation MI and lower Killip class than those who provided tissue. After adjustment for age, sex, hypertension, ST-segment elevation, Killip class, and comorbidities, participation was not associated with outcome. Participants who provided blood specimens were less likely to have heart failure (hazard ratio, 0.49; 95% confidence interval, 0.40-0.59; P<.01) or to die (hazard ratio, 0.16; 95% confidence interval, 0.12-0.21; P<.01) than those who provided tissue.Conclusions-A variety of sources can be used to assemble community specimen repositories. Baseline characteristics differed between participants and nonparticipants and, among participants, by specimen source. Participants who provided blood specimens had better outcomes than those who provided tissue specimens. No survival advantage was observed for participants after combining blood and tissue specimens.Participation bias occurs when comparisons are made between groups of patients who differ in determinants of outcome and when the differences are themselves related to the outcome. 1 Studies that require enrollment of participants are inherently affected by participation bias. 2 Because selective participation can threaten the external validity of studies, assessment of the magnitude of participation bias is essential to optimize the inference from these studies.Few studies in the community have examined the effect of participation bias. In one populationbased study of myocardial infarction (MI), nonparticipants were older, had greater comorbidity, and experienced poorer survival than participants. 3 A population-based study of left ventricular function reported that participation rates were lowest among the oldest, the youngest, and those with chronic obstructive pulmonary disease. 4 However, those studies did not examine the effects of participation on genetic studies of heart diseases.Population-based studies, using both established...