From: A functional description of adult picky eating using latent profile analysis
Scale | Predictor | F | df | MS | η 2 |
---|---|---|---|---|---|
BMI | Age | 22.76*** | 1 | 1130.73 | .017 |
Gender | 0.73 | 1 | 36.23 | .001 | |
Education | 0.04 | 1 | 1.86 | .000 | |
Eating Profile | 10.90*** | 3 | 541.30 | .024 | |
CIA | Age | 65.78*** | 1 | 5331.41 | .047 |
Gender | 2.65 | 1 | 214.77 | .002 | |
Education | 0.14 | 1 | 11.27 | .000 | |
BMI | 100.05*** | 1 | 8108.98 | .070 | |
Eating Profile | 9.82*** | 3 | 795.57 | .022 | |
PHQ-9 | Age | 39.10*** | 1 | 1283.45 | .029 |
Gender | 1.24 | 1 | 40.82 | .001 | |
Education | 4.28* | 1 | 140.34 | .003 | |
BMI | 73.96*** | 1 | 2427.93 | .053 | |
Eating Profile | 14.35*** | 3 | 471.04 | .031 | |
Social Eating Anxiety | Age | 35.36*** | 1 | 286.84 | .026 |
Gender | 0.05 | 1 | 0.43 | .000 | |
Education | 1.14 | 1 | 9.25 | .001 | |
BMI | 31.31*** | 1 | 253.97 | .023 | |
Eating Profile | 19.46*** | 3 | 157.81 | .042 | |
EDDS | Age | 73.96*** | 1 | 22.37 | .053 |
Gender | 19.21*** | 1 | 5.81 | .014 | |
Education | 1.79 | 1 | 0.54 | .001 | |
BMI | 184.17*** | 1 | 55.71 | .122 | |
Eating Profile | 9.60*** | 3 | 2.90 | .021 | |
APEQ | Age | 20.72*** | 1 | 8.34 | .015 |
Gender | 21.62*** | 1 | 8.75 | .016 | |
Education | 0.14 | 1 | 0.06 | .000 | |
BMI | 6.90** | 1 | 2.79 | .005 | |
Eating Profile | 48.30*** | 3 | 19.55 | .099 | |
IES-Uncond | Age | 11.10** | 1 | 6.34 | .008 |
Gender | 12.14** | 1 | 6.94 | .009 | |
Education | 16.14*** | 1 | 9.22 | .012 | |
BMI | 19.13*** | 1 | 10.93 | .014 | |
Eating Profile | 0.49 | 3 | 0.28 | .001 | |
IES-Phys | Age | 17.66*** | 1 | 13.60 | .013 |
Gender | 15.55* | 1 | 11.97 | .012 | |
Education | 3.14 | 1 | 2.42 | .002 | |
BMI | 165.32*** | 1 | 127.28 | .111 | |
Eating Profile | 18.83*** | 3 | 14.49 | .041 | |
IES-Hung | Age | 1.54 | 1 | 0.57 | .001 |
Gender | 0.09 | 1 | 0.04 | .000 | |
Education | 0.60 | 1 | 0.22 | .000 | |
BMI | 52.32*** | 1 | 19.51 | .038 | |
Eating Profile | 13.35*** | 3 | 4.98 | .029 |