Table 2 Associations between sex and BMI categories (observed frequency, [% of participants from given country])
Country | Total (n, %) | BMI Category | |||
|---|---|---|---|---|---|
Underweight (n, %) | Normal (n, %) | Overweight (n, %) | Obese (n, %) | ||
Czech Republic | (459, 17.4) | (29, 1.1) | (364, 13.8) | (54, 2.0) | (12, 0.5) |
Female | (321, 69.9) | (28, 6.1) | (262, 57.1) | (27, 5.9) | (4, 0.9) |
Male | (138, 30.1) | (1, 0.2) | (102, 22.2) | (27, 5.9) | (8, 1.7) |
x2/ p value | x2= 28.35, p < 0.001, Cramer’s V = 0.249 | ||||
Poland | (393, 14.9) | (17, 0.6) | (245, 9.3) | (94, 3.6) | (37, 1.4) |
Female | (182, 46.3) | (15, 3.8) | (125, 31.8) | (30, 7.6) | (12, 3.1) |
Male | (211, 53.7) | (2, 0.5) | (120, 30.5) | (64, 16.3) | (25, 6.4) |
x2 / p value | x2 = 24.90, p < 0.001, Cramer’s V = 0.252 | ||||
Slovakia | (1783, 67.7) | (160, 6.1) | (1209, 45.9) | (321, 12.2) | (93, 3.5) |
Female | (826, 46.3) | (98, 5.5) | (572, 32.1) | (119, 6.7) | (37, 2.1) |
Male | (957, 53.7) | (62, 3.5) | (637, 35.7) | (202, 11.3) | (56, 3.1) |
x2/ p value | x2= 27.46, p < 0.001, Cramer’s V = 0.124 | ||||