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Table 2 Logistic regression model coefficients for predicting overweight or obesity from origina and SSEPb

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

Model Predictor 95% CI for regression coefficients β 95%CI for odds ratio p-value Model fit
Lower β Upper Lower Odds eβ Upper
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
  1. a Dichotomized into 1 = ‘both parents from Switzerland’ versus 0 = ‘both parents from Southern Europe’
  2. b Swiss socioeconomic position index, interval scale, median, 65.2 (interquartile range, 58.7–72.0)
  3. CI confidence interval, LR X2 likelihood ratio chi-square