ObjectiveAspirin and non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs) are preventive against cardiovascular disease (CVD) and several cancer types, but long-term use has been associated with significant health risks, resulting in conflicting recommendations on NSAID use for prevention of CVD and cancer. Previous research indicates that aspirin use increases with age and CVD risk factors and that a large percentage of the US population regularly use analgesics, including NSAIDs, but there has not been a recent, in-depth assessment of NSAID use prevalence, changes in use over time or predictors of NSAID use in the USA.MethodsWe used the cross-sectional, National Health And Nutrition Examination Survey (NHANES) from 1988 to 1994 and three continuous cycles (1999–2004) to assess regular NSAID use prevalence, changes over time and predictors of regular NSAID use.ResultsOverall, regular NSAID use increased over time and varied by demographic features. Participants over 60 years of age, women, participants with high body mass index, increased waist circumference or heart disease were significantly more likely to be regular NSAID users. By contrast, non-Hispanic African American and Mexican American participants were significantly less likely to regularly use NSAIDs.ConclusionsThis study uses a nationally representative data set (NHANES) to provide an exploration of regular NSAID use patterns over time, highlighting several demographic, lifestyle and clinical conditions associated with regular NSAID use. Understanding who is likely to regularly use NSAIDs enables more targeted messaging both for increasing the preventive benefits and for limiting the toxicities associated with regular use of NSAIDs.
Background: For more than two decades, national career development programs (CDPs) have addressed underrepresentation of women faculty in academic medicine through career and leadership curricula. We evaluated CDP participation impact on retention. Methods: We used Association of American Medical Colleges data to compare 3268 women attending CDPs from 1988 to 2008 with 17,834 women and 40,319 men nonparticipant faculty similar to CDP participants in degree, academic rank, first year of appointment in rank, and home institution. Measuring from first year in rank to departure from last position held or December 2009 (study end date), we used Kaplan-Meier curves; Cox survival analysis adjusted for age, degree, tenure, and department; and 10-year rates to compare retention. Results: CDP participants were significantly less likely to leave academic medicine than their peers for up to 8 years after appointment as Assistant and Associate Professors. Full Professor participants were significantly less likely to leave than non-CDP women. Men left less often than non-CDP women at every rank. Participants attending more than one CDP left less often than those attending one, but results varied by rank. Patterns of switching institutions after 10 years varied by rank; CDP participants switched significantly less often than men at Assistant and Associate Professor levels and significantly less often than non-CDP women among Assistant Professors. Full Professors switched at equal rates. Conclusion: National CDPs appear to offer retention advantage to women faculty, with implications for faculty performance and capacity building within academic medicine. Intervals of retention advantage for CDP participants suggest vulnerable periods for intervention.
Competency in forms of scientific communication, both written and spoken, is essential for success in academic science. This study examined the psychometric properties of three new measures, based on social cognitive career theory, that are relevant to assessment of skill and perseverance in scientific communication. Pre- and postdoctoral trainees in biomedical science (N = 411) completed online questionnaires assessing self-efficacy in scientific communication, career outcome expectations, and interest in performing tasks in scientific writing, oral presentation, and impromptu scientific discourse. Structural equation modeling was used to evaluate factor structures and model relations. Confirmatory factor analysis supported a 22-item, 3-factor measure of self-efficacy, an 11-item, 2-factor measure of outcome expectations, and a 12-item, 3-factor measure of interest in scientific communication activities. Construct validity was further demonstrated by theory-consistent inter-factor relations and relations with typical communications performance behaviors (e.g., writing manuscripts, abstracts, presenting at national meetings).
Scientific communication skills are indispensable for success in academic biomedical research careers, but the effort to acquire them can be formidable for trainees and their mentors. The authors investigated whether and how development of these skills affects the academic career intentions of trainees.
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