Implications for cisgender female underrepresentation, small sample sizes, and misgendering in sport and exercise science research.
Ontology highlight
ABSTRACT: A sex-data gap, from testing primarily males, results in a lack of scientific knowledge for other groups (females, transgender individuals). It is unknown whether typical recruitment and participant characterization causes incorrect statistical decisions, and three factors were evaluated: 1) underrepresenting cisgender females, 2) recruiting small sample sizes, 3) misgendering. Data from the National Health and Nutrition Examination Survey (2003-2004) were evaluated for sex differences after removing missing values (N = 3,645; F = 1,763). Disparities were determined by utilizing sample sizes common in sport and exercise science research; mean sample size N = 187, median sample size N = 20. Participants were randomly allocated into datasets in an imbalanced manner (33.5% females, 66.5% male
SUBMITTER: Navalta JW
PROVIDER: S-EPMC10688738 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
ACCESS DATA