ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020
Impact of the Society for Research on Nicotine and Tobacco Health Disparities Network's Scholarship on Professional Development of Its Recipients.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Increasing Diversity, Equity, and Inclusion in the Health and Health Services Research Workforce: A Systematic Scoping Review.Journal of general internal medicine · 2025Article
- Off-White: decentring Whiteness in tobacco science.Tobacco control · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionDiversifying the workforce is an important strategy to reducing health disparities. Since 2007, the Society for Research on Nicotine and Tobacco (SRNT) Health Disparities Network has funded a travel scholarship to promote inclusion, professional development, and diversity among investigators interested in tobacco-related health disparities research. This study examined indicators of productivity among former scholarship recipients.Methods: Scholarship recipients between 2007 and 2014 were invited to complete a survey online. The survey assessed demographic characteristics, academic productivity, and perceived professional benefit resulting from the scholarship.Results: Of the 117 scholarships recipients, 89 (77%) responded. Respondents were 67% female and had a mean age of 37.8 years. Twenty eight percent were African American, 25% Asian American, and 17% Latino. Most respondents worked in academia (80%) and nearly three-quarters (74%) reported publishing manuscripts on tobacco-related disparities, with a mean of 3.8 (SD 4.4) disparities-related publications since receiving the scholarship. Respondents' work focused on a wide range of health disparities topics and nearly all respondents reported that the scholarship removed barriers to attending the meeting and reported professional benefit from receiving the travel scholarship. Following receipt of the SRNT travel scholarship, a diverse group of scientists demonstrated scholarly productivity, professional development, and advancement of health disparities research. Similar efforts are encouraged in other professional societies. IMPLICATIONS: This study examines the productivity of early career recipients of the SRNT Health Disparities Scholarship. Results suggest that the investment in annual travel scholarships by a professional organization is an important support system for emerging scientists from diverse backgrounds. This investment may help to advance the science of health disparities and engage researchers in an area where there are critical gaps in the research workforce.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.