Wednesday, 10 January 2018
Medical research often ignores differing health outcomes for men and women
Female lead and last authors more likely to consider disparities related to sex and gender.
PDF version
Female co-authorship increases the likelihood that a medical-research paper will address gender-related differences in disease or treatment outcomes, a study in Nature Human Behaviour finds (M. W. Nielsen et al. Nature Hum. Behav. 1, 791–796; 2017). Neglecting these disparities — which affect health outcomes in conditions such as cardiovascular disease and osteoporosis — can have life-threatening consequences, the study adds. The authors analysed more than 1.5 million medical-research papers published between 2008 and 2015. They found that the research was most likely to address gender differences when female scientists were first and last authors. However, female researchers comprised only 40% of first authors and 27% of last authors in the papers analysed. This is troubling, the study authors say, because last authors usually lead on identifying, planning and developing research pursuits in health disciplines. Increasing numbers of medical researchers, journal editors and science agencies already acknowledge the importance of including gender analysis in research, the authors note.
doi: 10.1038/d41586-017-08993-w
Letter
One and a half million medical papers reveal a link between author gender and attention to gender and sex analysis
Mathias Wullum Nielsen, Jens Peter Andersen, Londa Schiebinger & Jesper W. Schneider
Nature Human Behaviour 1, 791–796 (2017)
doi:10.1038/s41562-017-0235-x
Download Citation
Health occupationsInterdisciplinary studiesSociology
Received:
05 May 2017
Accepted:
27 September 2017
Published online:
06 November 2017
Abstract
Gender and sex analysis is increasingly recognized as a key factor in creating better medical research and health care1,2,3,4,5,6,7. Using a sample of more than 1.5 million medical research papers, our study examined the potential link between women’s participation in medical science and attention to gender-related and sex-related factors in disease-specific research. Adjusting for variations across countries, disease topics and medical research areas, we compared the participation of women authors in studies that do and do not involve gender and sex analysis. Overall, our results show a robust positive correlation between women’s authorship and the likelihood of a study including gender and sex analysis. These findings corroborate discussions of how women’s participation in medical science links to research outcomes, and show the mutual benefits of promoting both the scientific advancement of women and the integration of gender and sex analysis into medical research.
References
1.
Arnold, A. P. Promoting the understanding of sex differences to enhance equity and excellence in biomedical science. Biol. Sex Differ. 1, 1 (2010).
Show context
ArticlePubMedPubMed Central
2.
Schiebinger, L., Leopold, S. S. & Miller, V. M. Editorial policies for sex and gender analysis. Lancet 388, 2841–2842 (2016).
Show context
ArticlePubMed
3.
Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals (International Committee of Medical Journal Editor, 2016); http://www.icmje.org/news-and-editorials/icmje-recommendations_annotated_dec16.pdf.
Show context
4.
Heidari, S., Babor, T. F., De Castro, P., Tort, S. & Curno, M. Sex and gender equity in research: rationale for the SAGER guidelines and recommended use. Res. Integr. Peer Rev. 1, 2 (2016).
Show context
Article
5.
Miller, V. M. In pursuit of scientific excellence: sex matters. Physiol. Genomics 44, 485–486 (2012).
Show context
ArticlePubMed
6.
Nieuwenhoven, L. & Klinge, I. Scientific excellence in applying sex- and gender-sensitive methods in biomedical and health research. J. Womens Health 19, 313–321 (2010).
Show context
Article
7.
Johnson, J. L., Greaves, L. & Repta, R. Better science with sex and gender: facilitating the use of a sex and gender-based analysis in health research. Int. J. Equity Health 8, 14 (2009).
Show context
ArticlePubMedPubMed Central
8.
Oertelt-Prigione, S. & Regitz-Zagrosek, V. (eds) Sex and Gender Aspects in Clinical Medicine (Springer, London, 2012).
Show context
9.
Kim, E. S. H. & Menon, V. Status of women in cardiovascular clinical trials. Arterioscler. Thromb. Vasc. Biol. 29, 279–283 (2009).
Show context
CASArticlePubMed
10.
Mosca, L., Hammond, G., Mochari-Greenberger, H., Towfighi, A. & Albert, M. A. Fifteen-year trends in awareness of heart disease in women results of a 2012 American Heart Association national survey. Circulation 127, 1254–1263 (2013).
Show context
ArticlePubMedPubMed Central
11.
Kwiatkowski, K., Coe, K., Bailar, J. C. & Swanson, G. M. Inclusion of minorities and women in cancer clinical trials, a decade later: have we improved? Cancer 119, 2956–2963 (2013).
Show context
ArticlePubMed
12.
Beery, A. K. & Zucker, I. Sex bias in neuroscience and biomedical research. Neurosci. Biobehav. Rev. 35, 565–572 (2011).
Show context
ArticlePubMed
13.
Shah, K., McCormack, C. E. & Bradbury, N. A. Do you know the sex of your cells? Am. J. Physiol. Cell Physiol. 306, C3–C18 (2014).
Show context
CASArticlePubMed
14.
Klein, S. L. et al. Sex differences in the incidence and case fatality rates from hemorrhagic fever with renal syndrome in China, 2004–2008. Clin. Infect. Dis. 52, 1414–1421 (2011).
Show context
ArticlePubMedPubMed Central
15.
Adler, R. A. Osteoporosis in men: a review. Bone Res. 2, 14001 (2014).
Show context
ArticlePubMedPubMed Central
16.
Smith, P. M. & Koehoorn, M. Measuring gender when you don’t have a gender measure: constructing a gender index using survey data. Int. J. Equity Health 15, 82 (2016).
Show context
ArticlePubMedPubMed Central
17.
Courtenay, W. H. Behavioral factors associated with disease, injury, and death among men: evidence and implications for prevention. J. Mens Stud. 9, 81–142 (2000).
Show context
Article
18.
Alabas, O. A., Tashani, O. A., Tabasam, G. & Johnson, M. I. Gender role affects experimental pain responses: a systematic review with meta‐analysis. Eur. J. Pain 16, 1211–1223 (2012).
Show context
CASArticlePubMed
19.
Pelletier, R. et al. Sex versus gender-related characteristics: which predicts outcome after acute coronary syndrome in the young? J. Am. Coll. Cardiol. 67, 127–135 (2016).
Show context
ArticlePubMed
20.
Schiebinger, L. & Stefanick, M. L. Gender matters in biological research and medical practice. J. Am. Coll. Cardiol. 67, 136–138 (2016).
Show context
ArticlePubMed
21.
US General Accounting Office Drug Safety: Most Drugs Withdrawn in Recent Years had Greater Health Risks for Women (Government Publishing Office, Washington DC, 2001).
Show context
22.
Schiebinger, L. et al. Sex and Gender Analysis Policies of Major Granting Agencies (Gendered Innovations in Science, Health & Medicine, Engineering, and Environment, 2017); http://genderedinnovations.stanford.edu/sex-and-gender-analysis-policies-major-granting-agencies.html
Show context
23.
Gender Equality in Horizon 2020 Version 2 (European Commission, 2016); http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/gender/h2020-hi-guide-gender_en.pdf
Show context
24.
Consideration of Sex as a Biological Variable in NIH-Funded Research (National Institutes of Health, 2015); https://grants.nih.gov/grants/guide/notice-files/NOT-OD-15-102.html.
Show context
25.
Ely, R. J. & Thomas, D. A. Cultural diversity at work: the effects of diversity perspectives on work group processes and outcomes. Adm. Sci. Q. 46, 229–273 (2001).
Show context
Article
26.
Page, S. E. The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies (Princeton Univ. Press, Princeton, NJ, 2008).
Show context
27.
Nielsen, M. W. et al. Opinion: gender diversity leads to better science. Proc. Natl Acad. Sci. USA 114, 1740–1742 (2017).
Show context
CASArticlePubMedPubMed Central
28.
Charles, M. & Bradley, K. Indulging our gendered selves? Sex segregation by field of study in 44 countries. Am. J. Sociol. 114, 924–976 (2009).
Show context
ArticlePubMed
29.
Alers, M., van Leerdam, L., Dielissen, P. & Lagro-Janssen, A. Gendered specialities during medical education: a literature review. Perspect. Med. Educ. 3, 163–178 (2014).
Show context
ArticlePubMedPubMed Central
30.
West, J. D., Jacquet, J., King, M. M., Correll, S. J. & Bergstrom, C. T. The role of gender in scholarly authorship. PLoS ONE 8, e66212 (2013).
Show context
CASArticlePubMedPubMed Central
31.
Light, R. in Networks, Work, and Inequality (ed. Mcdonald, S.) 239–268 (Research in the Sociology of Work Vol. 24, Emerald Group Publishing, Bingley, 2013).
Show context
32.
Dolado, J. J., Felgueroso, F. & Almunia, M. Are men and women-economists evenly distributed across research fields? Some new empirical evidence. SERIEs 3, 367–393 (2012).
Show context
Article
33.
Kretschmer, H., Kundra, R., Beaver, D. D. & Kretschmer, T. Gender bias in journals of gender studies. Scientometrics 93, 135–150 (2012).
Show context
Article
34.
Söderlund, T. & Madison, G. Characteristics of gender studies publications: a bibliometric analysis based on a Swedish population database. Scientometrics 105, 1347–1387 (2015).
Show context
Article
35.
Johnson, J., Sharman, Z., Vissandjee, B. & Stewart, D. E. Does a change in health research funding policy related to the integration of sex and gender have an impact? PLoS ONE 9, e99900 (2014).
Show context
ArticlePubMedPubMed Central
36.
Oertelt-Prigione, S., Parol, R., Krohn, S., Preissner, R. & Regitz-Zagrosek, V. Analysis of sex and gender-specific research reveals a common increase in publications and marked differences between disciplines. BMC Med. 8, 70 (2010).
Show context
ArticlePubMedPubMed Central
37.
Oertelt-Prigione, S., Gohlke, B. O., Dunkel, M., Preissner, R. & Regitz-Zagrosek, V. GenderMedDB: an interactive database of sex and gender-specific medical literature. Biol. Sex Differ. 5, 7 (2014).
Show context
ArticlePubMedPubMed Central
38.
Gelman, A., Jakulin, A., Piitau, M. G. & Su, Y.-S. A weakly informative default prior distribution for logistic and other regression models. Ann. Appl. Stat. 2, 1360–1383 (2008).
Show context
Article
39.
Valantine, H. A. & Collins, F. S. National Institutes of Health addresses the science of diversity. Proc. Natl Acad. Sci. USA. 112, 12240–12242 (2015).
Show context
CASArticlePubMedPubMed Central
40.
Gneezy, U., Niederle, M. & Rustichini, A. Performance in competitive environments: gender differences. Q. J. Econ. 118, 1049–1074 (2003).
Show context
Article
41.
Reskin, B. F. & Roos, P. A. (eds) Job Queues, Gender Queues: Explaining Women’s Inroads into Male Occupations (Temple Univ. Press, Philadelphia, PA, 1990).
Show context
42.
Patel, V. M. et al. How has healthcare research performance been assessed? A systematic review. J. R. Soc. Med. 104, 251–261 (2011).
Show context
ArticlePubMedPubMed Central
43.
Young, N. S., Ioannidis, J. P. A. & Al-Ubaydli, O. Why current publication practices may distort science. PLoS Med. 5, e201 (2008).
Show context
ArticlePubMedPubMed Central
44.
Darmoni, S. J. et al. A MEDLINE categorization algorithm. BMC Med. Inform. Decis. Mak. 6, 7 (2006).
Show context
ArticlePubMedPubMed Central
45.
Martin, A. D., Quinn, K. M. & Park, J. H. MCMCpack: Markov Chain Monte Carlo in R. J. Stat. Softw. 42, 1–21 (2011).
Show context
Article
46.
Martin, A. D., Quinn, K. M. & Park, J. H. Package ‘MCMC-pack’ v.1.3-9 (R Foundation for Statistical Computing, 2017); https://cran.r-project.org/web/packages/MCMCpack/MCMCpack.pdf
Show context
47.
Lenth, R. Package ‘lsmeans’ Version 2.2 (The Comprehensive R Archive Network, 2016); https://cran.r-project.org/web/packages/lsmeans/lsmeans.pdf
Show context
Download references
Acknowledgements
We thank S. Oertelt-Prigione and the Institute of Gender in Medicine, Charité-Universitätsmedizin Berlin, Germany, for data acquisition from the GenderMed database. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
Competing interests
The authors declare no competing interests.
Author information
Affiliations
History of Science, Stanford University, Stanford, CA, USA
Mathias Wullum Nielsen & Londa Schiebinger
Danish Centre for Studies in Research and Research Policy, Department of Political Science, Aarhus University, Aarhus, Denmark
Jens Peter Andersen & Jesper W. Schneider
Contributions
The research was designed by M.W.N. The database was constructed by J.P.A. and M.W.N. The data were analysed by M.W.N., J.W.S. and J.P.A. All authors contributed to writing the paper.
Corresponding author
Correspondence to Mathias Wullum Nielsen.
Electronic supplementary material
Supplementary Information
Supplementary Methods, Supplementary Figures 1–5, Supplementary Tables 1–14, Supplementary References