Skip to main content
. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Int J Eat Disord. 2019 Jun 24;52(9):1047–1051. doi: 10.1002/eat.23126

TABLE 1.

Demographic characteristics for each analytic sample

Analytic sample
Demographic characteristics EDEQ (USF, n = 1,425) EAT-26 (Penn, n = 1,125) EDDS (Albany, n = 902)
Age M (SD) 21.51 (4.9) 19.9 (2.2) 19.2 (3.8)
BMI [kg/m2] M (SD) 24.22 (5.3) 22.6 (4.4) 22.8 (3.9)
Gender n (valid %)
 Men 301 (21.1) 367 (32.5) 365 (40.5)
 Women 1,124 (78.9) 760 (67.4) 537 (59.5)
Race/ethnicity n (valid %)a
 African American or black 196 (13.8) 73 (6.5) 89 (9.9)
 Asian 106 (7.4) 202 (17.9) 94 (10.4)
 Hispanic or Latinx 228 (16.0) 134 (11.9) 26 (2.9)
 White 752 (52.8) 596 (52.9) 599 (66.4)
 Other or mixed heritage 142 (10.0) 115 (10.2) 94 (10.4)

Note. EDEQ, Eating Disorder Examination Questionnaire; EAT-26, Eating Attitudes Test-26; EDDS, Eating Disorder Diagnostic Scale for DSM-IV; USF, sample from University of South Florida; Penn, sample from University of Pennsylvania; Albany, sample from University at Albany, State University of New York; NA, race/ethnicity data for this category was not available in the particular study sample.

a

Percentages do not add up to 100% due to missing self-report data.