Table 1.
Sample characteristics.
ARFID n=49 |
OTHER-ED n=77 |
NP n=40 |
F (df1, df2) |
η2 | Overall p-value | |
---|---|---|---|---|---|---|
Age, M (SD) | 22.00 (13.66) | 29.01 (14.35)† | 41.93 (13.23)† | 23.13 (2, 162) | 0.22 | < .001 |
Sex, n female (%) | 31 (63.3) | 55 (79.7) | 15 (37.5) | .50 (2, 163) | .006b | .61 |
Race, n (%)a | ||||||
White | 48 (98%) | 74 (96%) | 36 (90%) | |||
Black/African-American | 4 (8%) | 0 (0) | 4 (10%) | |||
Pacific Islander/Native Hawaiian | 0 (0) | 0 (0) | 0 (0) | |||
Native American/Native Alaskan | 0 (0) | 0 (0) | 0 (0) | |||
Asian | 0 (0) | 5 (7%) | 1 (3%) | |||
Ethnicity, n (%) | ||||||
Hispanic/Latino | 4 (8%) | 3 (4%) | 1 (3%) | |||
Not Hispanic/Latino | 45 (92%) | 74 (96%) | 39 (98%) | |||
NIAS, M (SD) | ||||||
Picky eating | 11.96 (3.46)† | 6.55 (4.23)† |
3.53 (3.19) | 58.67 (2, 162) | 0.42 | < .001 |
Appetite | 8.12 (5.07)† |
5.24 (4.93)† |
2.55 (2.99) | 16.41 (2, 162) | 0.17 | < .001 |
Fear | 5.87 (5.49) |
4.24 (4.46)† |
1.40 (2.13) | 11.62 (2, 162) | 0.13 | < .001 |
ARFID Presentations (n, %)a | ||||||
Sensory sensitivity only | 16 (32.7%) | N/A | N/A | |||
Lack of interest only | 3 (6.1%) | N/A | N/A | |||
Fear of aversive consequences only | 6 (12.2%) | N/A | N/A | |||
Sensory sensitivity and lack of interest | 11 (22.4%) | N/A | N/A | |||
Sensory sensitivity and fear of aversive consequences | 5 (10.2%) | N/A | N/A | |||
Lack of interest and fear of aversive consequences | 7 (14.3%) | N/A | N/A | |||
All three presentations | 1 (2.0%) | N/A | N/A | |||
Body Mass Index, M (SD) | 21.67 (6.34) | 23.67 (6.58) | 26.85† (7.36) | 6.54 (2, 162) | 0.07 | .002 |
Note. ARFID=avoidant/restrictive food intake disorder; NIAS=Nine Item ARFID Screen; other-ED=eating disorder associated with shape/weight concerns; NP=nonclinical participant; M=mean; SD=standard deviation. For post-hoc tests, we used Bonferroni correction to adjust for multiple comparisons.
These items do not add to 100%, since participants could be associated with multiple categories
Represents R2 value because sex was a binary variable in the current sample and differences were computed using logistic regression.
Indicates this sample’s score was significantly higher than the sample(s) who scored lower on this measure (p<.05) (e.g., the ARFID group scored significantly higher on the NIAS than the other-ED group, and the other-ED group scored significantly higher on the NIAS than the NP group).