Table 2.
Demographics by probable eating disorder diagnosis or risk level
| ARFID | AN | BN | BED | PD | UFED | At risk | Low/no risk | Significance | |
|---|---|---|---|---|---|---|---|---|---|
| Agea, n (%) | p < 0.01, V = 0.08 | ||||||||
| 18–24 | 1348 (56.7%) | 1410 (62.0%) | 6548 (43.9%) | 1739 (23.8%) | 392 (45.2%) | 6368 (42.0%) | 1741 (36.3%) | 892 (37.5%) | |
| 25–34 | 703 (29.6%) | 425 (18.7%) | 4534 (30.4%) | 2383 (32.6%) | 215 (24.8%) | 4318 (28.5%) | 1332 (27.7%) | 642 (27.0%) | |
| 35–44 | 171 (7.2%) | 212 (9.3%) | 2054 (13.8%) | 1518 (20.8%) | 145 (16.7%) | 2105 (13.9%) | 761 (15.9%) | 347 (14.6%) | |
| 45–54 | 66 (2.8%) | 116 (5.1%) | 1064 (7.1%) | 903 (12.4%) | 75 (8.6%) | 1314 (8.7%) | 515 (10.7%) | 251 (10.6%) | |
| 55–64 | 45 (1.9%) | 67 (2.9%) | 521 (3.5%) | 537 (7.4%) | 30 (3.5%) | 710 (4.7%) | 291 (6.1%) | 165 (6.9%) | |
| 65 + | 45 (1.9%) | 43 (1.9%) | 190 (1.3%) | 222 (3.1%) | 11 (1.2%) | 357 (2.4%) | 161 (3.4%) | 80 (3.4%) | |
| Genderb, n (%) | p < 0.01, V = 0.05 | ||||||||
| Female | 1808 (76.0%) | 2014 (88.6%) | 12,894 (86.5%) | 6494 (88.9%) | 775 (89.3%) | 12,551 (82.7%) | 4149 (86.4%) | 1808 (76.4%) | |
| Male | 349 (14.7%) | 99 (4.4%) | 1273 (8.5%) | 548 (7.5%) | 41 (4.7%) | 1712 (11.3%) | 413 (8.6%) | 454 (19.2%) | |
| Non-binary | 147 (6.2%) | 87 (3.8%) | 502 (3.4%) | 167 (2.3%) | 36 (4.1%) | 614 (4.0%) | 149 (3.1%) | 53 (2.2%) | |
| Other | 66 (2.8%) | 57 (2.5%) | 221 (1.5%) | 81 (1.1%) | 14 (1.6%) | 260 (1.7%) | 74 (1.5%) | 50 (2.1%) | |
| Racec, n (%) | p < 0.01, V = 0.04 | ||||||||
| White | 1793 (75.4%) | 1794 (78.9%) | 11,532 (77.3%) | 6192 (84.8%) | 700 (80.6%) | 12,152 (80.1%) | 3736 (77.8%) | 1844 (78.5%) | |
| Black | 151 (6.3%) | 49 (2.2%) | 726 (4.9%) | 242 (3.3%) | 26 (3.0%) | 682 (4.5%) | 223 (4.6%) | 128 (5.5%) | |
| Asian | 108 (4.5%) | 141 (6.2%) | 695 (4.7%) | 188 (2.6%) | 37 (4.3%) | 626 (4.1%) | 247 (5.1%) | 123 (5.2%) | |
| Multiracial | 152 (6.4%) | 139 (6.1%) | 735 (4.9%) | 287 3.9%) | 46 (5.3%) | 691 (4.6%) | 221 (4.6%) | 97 (4.1%) | |
| Other | 153 (6.5%) | 105 (4.6%) | 1105 (7.4%) | 346 (4.8%) | 55 (6.3%) | 904 (6.0%) | 311 (6.5%) | 156 (6.6%) | |
| Ethnicityd, n (%) | p < 0.01, V = 0.04 | ||||||||
| Hispanic | 326 (13.7%) | 234 (10.3%) | 2277 (15.3%) | 769 (10.5%) | 108 (12.4%) | 1801 (11.9%) | 605 (12.6%) | 271 (11.5%) | |
| Non-Hispanic | 2039 (85.7%) | 2009 (88.4%) | 12,567 (84.3%) | 6504 (89.1%) | 757 (87.2%) | 13,290 (87.6%) | 4152 (86.5%) | 2083 (88.5%) | |
| Incomee, n (%) | p < 0.01, V = 0.04 | ||||||||
| < $20 k | 487 (20.5%) | 394 (17.3%) | 2347 (15.7%) | 764 (10.5%) | 156 (18.0%) | 2380 (15.7%) | 624 (13.0%) | 318 (13.9%) | |
| $20 k-59,999 | 829 (34.8%) | 640 (28.1%) | 4557 (30.6%) | 2066 (28.3%) | 250 (28.8%) | 4271 (28.2%) | 1211 (25.2%) | 554 (24.2%) | |
| $60 k-99,999 | 486 (20.4%) | 479 (21.1%) | 3288 (22.1%) | 1903 (26.0%) | 189 (21.7%) | 3427 (22.5%) | 1086 (22.6%) | 557 (24.3%) | |
| $100 k-150 k + | 499 (21.0%) | 643 (28.2%) | 4322 (29.0%) | 2379 (32.6%) | 249 (28.7%) | 4599 (30.3%) | 1674 (34.9%) | 861 (37.6%) | |
Pairwise comparisons were conducted following significant Chi-square tests
aRespondents with possible ARFID were more likely to be aged 18–24 than all other diagnostic/risk categories except those with AN
bRespondents with possible ARFID were more likely to be male and less likely to be female than all other diagnostic/risk categories except those with low/no ED risk
cThey were less likely to be White, and more likely to be Black or African American than all other diagnostic/risk groups
dThey were also more likely to be Hispanic/Latino than all diagnostic/risk groups except those with BN
eThey were more likely to have lower household income (< $20,000 and $20,000–59,999) than all other diagnostic/risk categories