The increase in child obesity in Switzerland is mainly due to migration from Southern Europe – a cross-sectional study

Table 2 Logistic regression model coefficients for predicting overweight or obesity from origin^a and SSEP^b

Model	Predictor	95% CI for regression coefficients β			95%CI for odds ratio			p-value	Model fit
Model	Predictor	Lower	β	Upper	Lower	Odds e^β	Upper	p-value	Model fit
Overweight, girls	origin	−1.38	− 1.13	−0.87	0.25	0.32	0.42	0.000	McFadden’s R² = 0.05, LR X²(2) = 90.30, p = 0.000
	SSEP	−0.03	− 0.02	0.00	0.97	0.98	1.00	0.010
	constant	−0.83	0.06	0.96	0.44	1.06	2.60	0.892
Overweight, boys	origin	−1.35	−1.15	−0.94	0.26	0.32	0.39	0.000	McFadden’s R² = 0.06, LR X²(2) = 144.04, p = 0.000
	SSEP	− 0.03	−0.02	− 0.01	0.97	0.98	0.99	0.003
	constant	−0.41	0.32	1.06	0.66	1.38	2.88	0.387
Obesity, girls	origin	−1.52	−1.02	−0.52	0.22	0.36	0.60	0.000	McFadden’s R² = 0.06, LR X²(2) = 36.10, p = 0.000
	SSEP	−0.08	−0.06	− 0.03	0.92	0.95	0.97	0.000
	constant	−1.12	0.63	2.38	0.33	1.88	10.81	0.479
Obesity, boys	origin	−2.52	−2.04	−1.55	0.08	0.13	0.21	0.000	McFadden’s R² = 0.12, LR X²(2) = 101.76, p = 0.000
	SSEP	−0.05	−0.02	0.00	0.95	0.98	1.00	0.043
	constant	−2.18	−0.74	0.71	0.11	0.48	2.02	0.317

^a Dichotomized into 1 = ‘both parents from Switzerland’ versus 0 = ‘both parents from Southern Europe’
^b Swiss socioeconomic position index, interval scale, median, 65.2 (interquartile range, 58.7–72.0)
CI confidence interval, LR X² likelihood ratio chi-square

ISSN: 1471-2458