Table 3

Effect of BMI on self-perceived health—OR and 95% CIs of regression models (BMI as ordered variable)

SettingOverweightObesity class IObesity class IIObesity class IIIRegression model
OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)
Austria1.80 (1.68 to 1.93)3.28 (2.96 to 3.62)5.55 (4.56 to 6.75)9.11 (6.54 to 12.71)Ordered logistic regression: non-proportional variables dropped (age and educational attainment).
Belgium1.73 (1.55 to 1.93)2.83 (2.42 to 3.32)3.67 (2.74 to 4.91)4.85 (3.00 to 7.86)Generalised ordinal model: non-proportional variables dropped (age and educational attainment), degree of urbanisation as nominal variable.
Cyprus1.29 (1.12 to 1.48)1.53 (1.26 to 1.86)2.48 (1.76 to 3.49)5.20 (2.85 to 9.49)Generalised ordinal model with sex as nominal variable.
Denmark1.45 (1.28 to 1.64)2.48 (2.08 to 2.96)3.80 (2.78 to 5.20)5.44 (3.48 to 8.50)Ordered logistic regression.
Estonia1.22 (1.07 to 1.38)1.57 (1.33 to 1.84)3.32 (2.56 to 4.32)4.26 (2.89 to 6.28)Ordered logistic regression.
Greece1.08* (0.97 to 1.08)1.62 (1.41 to 1.86)2.25 (1.77 to 2.87)2.67 (1.60 to 4.46)Ordered logistic regression.
Croatia1.20 (1.05 to 1.36)1.66 (1.40 to 1.97)2.08 (1.54 to 2.80)2.37 (1.27 to 4.42)Generalised ordinal model with sex as nominal variable.
Iceland1.20 (1.04 to 1.38)1.67 (1.38 to 2.02)2.55 (1.87 to 3.49)4.47 (2.51 to 7.96)Generalised ordinal model: non-proportional variables dropped (educational attainment), sex as nominal variable.
Lithuania1.03* (0.90 to 1.17)1.63 (1.36 to 1.95)2.52 (1.88 to 3.38)3.41 (2.01 to 5.80)Generalised ordinal model with degree of urbanisation as nominal variable.
Luxembourg1.40 (1.20 to 1.62)2.45 (1.98 to 3.04)2.78 (1.95 to 3.95)6.49 (3.67 to 11.52)Ordered logistic regression.
Malta1.39 (1.18 to 1.64)2.06 (1.69 to 2.51)2.92 (2.15 to 3.97)2.18 (1.34 to 3.55)Generalised ordinal model: non-proportional variables dropped (degree of urbanisation), educational attainment as nominal variable.
Netherlands1.43 (1.29 to 1.59)2.51 (2.15 to 2.93)5.10 (3.80 to 6.84)4.36 (2.61 to 7.25)Ordered logistic regression: non-proportional variables dropped (educational attainment).
Norway1.55 (1.40 to 1.70)2.97 (2.57 to 3.45)4.84 (3.63 to 6.46)7.35 (4.25 to 12.71)Generalised ordinal model: non-proportional variables dropped (educational attainment), age as nominal variable.
Sweden1.56 (1.39 to 1.75)3.08 (2.58 to 3.68)5.00 (3.64 to 6.86)7.65 (4.49 to 13.03)Ordered logistic regression: non-proportional variables dropped (educational attainment).
Slovenia1.35 (1.20 to 1.52)1.91 (1.63 to 2.23)3.08 (2.33 to 4.08)2.97 (1.82 to 4.86)Generalised ordinal model: non-proportional variables dropped (educational attainment), sex as nominal variable.
  • *P value significance not achieved.

  • BMI, body mass index.