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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Eat Disord. 2015 Dec 22;24(4):297–311. doi: 10.1080/10640266.2015.1123986

Table 3.

Estimated mean body satisfaction/percentage reporting disordered eating behaviors by feminist identification groups

Unadjusted Adjusted1
Feminist Identified Feminist Beliefs Not Feminist F, p Feminist Identified Feminist Beliefs Not Feminist F, p
Body satisfaction [M (SE)] 41.0 a (±0.86) 37.7 b (±0.47) 38.1 b (±0.54) F = 5.57, p= 0.004 40.7 a (±0.91) 38.4 b (±0.65) 38.6 b (±0.71) F = 4.00, p =. 0.019
Binge Eating2 15.6% 17.1% 15.1% F = 0.41, p =. 0.66 14.8% 15.5% 14.6% F= 0.09, p =. 0.91
Less Extreme UWCBs2 46.1%a 56.5%b 47.5%a F = 5.50, p= 0.004 47.9%a 56.3%b 47.1%a F = 5.16, p =. 0.006
Extreme UWCBs2 14.4%a 20.6%ab 22.1%b F=2.37, p =. 0.094 16.1% 21.1% 21.7% F= 1.30, p =. 0.27
Dieting2 50.0%a 60.1%b 56.5%ab F= 3.02, p =. 0.05 51.8% a 60.0% b 57.1% ab F = 2.04, p =. 0.13
a,b

Within rows, cells with different superscripts are significantly different (p < 0.05)

1

Adjusted for race, educational attainment, age, and BMI

2

For categorical dependent variables, least square means can be interpreted as predicted probabilities of engaging in each behavior. Due to the large sample size, the Central Limit Theorem effectively treats them as normally distributed continuous variables.