. 2021 Mar 3;45(6):1259–1270. doi: 10.1038/s41366-021-00791-9

Table 5.

Summary of multiple regression analysis for variables predicting WBI (N = 1007).

	Model 1			Model 2			Model 3			Model 4
	β	95% CI	p	β	95% CI	p	β	95% CI	p	β	95% CI	p
Age	−0.07	[−0.11, −0.00]	0.041	−0.07	[−0.11, −0.00]	0.045	−.05	[−0.10, 0.01]	0.129	−0.06	[−0.11, 0.01]	0.077
Gender	0.07	[0.17, 2.94]	0.028	0.07	[0.17, 2.94]	0.028	.05	[−0.30, 2.48]	0.125	0.02	[−0.88, 1.93]	0.466
BMI	0.16	[0.14, 0.32]	<0.001	0.16	[0.14, 0.32]	<0.001	.23	[0.23, 0.43]	<0.001	0.06	[−0.05, 0.23]	0.189
Education	−0.05	[−0.85, 0.10]	0.125	−0.05	[−0.85, 0.11]	0.128	−.05	[−0.85, 0.10]	0.125	−0.05	[−0.81, 0.14]	0.167
National obesity prevalence				−0.00	[−1.09, 1.09]	0.999	−.00	[−1.10, 1.06]	0.971	−0.00	[−1.11, 1.08]	0.980
Health normalisation							.04	[−0.29, 0.84]	0.341	−0.01	[−0.69, 0.50]	0.753
Attractiveness normalisation							−.17	[−1.85, −0.65]	<0.001	−0.23	[−2.31, −1.05]	<0.001
Personal contact
Own body shape exposure										0.27	[0.80, 1.82]	<0.001
Daily exposure										−0.01	[−0.59, 0.48]	0.844
Friends exposure										0.00	[−0.55, 0.55]	0.994
Family exposure										0.01	[−0.31. 0.42]	0.779
Adjusted R²	0.03			0.03			0.04			0.06
F for change in R²	8.36***			0.00			9.23***			6.52***
Model Fit	F (4,1003) = 8.36, p < 0.001			F (5,1002) = 6.68, p < 0.001			F (7,1000) = 7.49, p < 0.001			F (11,996) = 7.24, p < 0.001

***p < 0.001.