Predictors and correlates of prevention research careers: a national study of residency graduates.
BACKGROUND
Factors associated with research productivity among residency graduates are not well understood. The objectives of this study are to describe research productivity among preventive medicine residency (PMR) graduates and to identify factors that are correlated with high levels of productivity.


METHODS
A detailed survey was mailed to all (n = 1,070) graduates from U.S. PMRs between 1979 and 1989. Main outcome measures for this analysis were (1) 25% of the workweek or more research time and (2) 20 or more publications since training completion.


RESULTS
A total of 797 completed surveys were received for a response rate of 75%. Among respondents, 33% devoted at least 25% of their time to research and 13% had 20 or more publications. Independent positive predictors (P < 0.05) based on education and training of high research productivity as measured by both outcomes included research self-motivation, training at the Centers for Disease Control and Prevention, and clinical board certification. Concurrent correlates of current high research productivity by both outcomes included employment by the federal government or academia and academic appointment.


CONCLUSIONS
Factors associated with high research productivity could be utilized to improve the resident selection process and promote research careers. This could enhance research programs and education and promote the overall prevention research agenda.
Salive
M E
ME
Epidemiology, Demography, and Biometry Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Stein
D H
DH
D000047:Academies and Institutes / Q000706:statistics & numerical data; D000328:Adult; D002321:Career Choice; D002487:Centers for Disease Control and Prevention, U.S. / Q000706:statistics & numerical data; D016001:Confidence Intervals; D003625:Data Collection; D004526:Efficiency; D005260:Female; D006801:Humans; D007396:Internship and Residency / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D016017:Odds Ratio; D011315:Preventive Medicine / Q000193:education; D011634:Public Health / Q000706:statistics & numerical data; D017150:Public Sector / Q000706:statistics & numerical data; D011642:Publications / Q000706:statistics & numerical data; D012108:Research Personnel / Q000706:statistics & numerical data*; D014481:United States; D000078329:Workforce