Gender distribution in psychiatry journals' editorial boards worldwide

Compr Psychiatry. 2019 Oct:94:152119. doi: 10.1016/j.comppsych.2019.152119. Epub 2019 Aug 21.

Abstract

Gender disparity has been documented in advanced doctoral degrees, research, and academic positions, and therefore, it can logically be deduced that the gender disparity would be found in journals' editorial boards. In this study, we sought to determine the gender distribution in editorial boards of psychiatry journals worldwide. We also studied the academic achievements of editorial board members by comparing professional background, education level, and research productivity indices. We analyzed the gender of editorial members of 119 psychiatry journals from Clarivate Analytics' Journal Citation Reports. Our data included 8423 editorial board members from which we randomly selected 10% editorial board members to represent the full sample for further analyses. Overall, women represented 30.4% of editorial board and approximately 30% in each category: (1) Editor-in-chief/deputies, (2) Associate/section editors, (3) Editorial board*, and (4) Advisory board. The majority (65%) of men were M.D. psychiatrists, and women (58%) were Ph.D. psychologists. Women in editorial leadership positions (Category 1 & 2) were correlated with fewer women in editorial or advisory boards. Women had half the mean number of publications than men while serving journals with approximately the same mean impact factor. Our study results show that, besides gender disparity, gender bias does not exist in the psychiatry journal editorial boards. Given the implication of the editorial board position on science, academic advancement, and networking, this disparity remains detrimental to achieving equity, diversity, and inclusion in academic psychiatry.

Keywords: Editorial board; Female; Gender disparity; Psychiatry.

MeSH terms

  • Efficiency
  • Female
  • Humans
  • Male
  • Periodicals as Topic / statistics & numerical data*
  • Psychiatry / statistics & numerical data*
  • Sexism / statistics & numerical data*
  • Specialty Boards / statistics & numerical data*