Table 2 Single factor Logistic regression analysis of factors affecting precocious puberty in children
From: Analysis of risk factors of precocious puberty in children
Variable | β | SE | Wdlodχ2 value | OR (95%CI) | P value |
|---|---|---|---|---|---|
Gender (female) | 1.263 | 0.308 | 14.591 | 3.018 (1.895, 7.105) | 0.000 |
Bone age (> 10 years old) | 1.451 | 0.307 | 21.376 | 4.067 (1.281, 7.587) | ＜0.001 |
Daily exercise time (< 0.9 h) | 0.811 | 0.309 | 7.517 | 2.321 (1.165, 3.765) | 0.006 |
E2 (≥ 66.00pmol/L) | 1.229 | 0.328 | 12.062 | 3.167 (1.317, 6.887) | ＜0.000 |
FSH (≥ 6.00U/L) | 0.928 | 0.289 | 10.165 | 2.537 (1.437, 4.779) | ＜0.001 |
LH (≥ 3.50U/L) | 0.867 | 0.157 | 29.876 | 2.287 (1.652–3.281) | ＜0.001 |
Leptin (≥ 8.00 µg/L) | 0.367 | 0.139 | 6.065 | 1.453 (1.092–1.786) | 0.008 |
Mother’s menarche time (< 12 years old) | 0.889 | 0.183 | 23.287 | 0.761 (0.327–0.998) | ＜0.001 |
Living environment (chemical industry zone) | 1.772 | 0.376 | 22.387 | 4.382 (1.891–10.987) | ＜0.001 |
Consumption of nutritional supplements (n, often) | 0.276 | 0.113 | 6.038 | 1.287 (1.046–1.578) | 0.009 |
Consumption of food containing pigments and preservatives (n, often) | 0.028 | 0.037 | 0.947 | 1.028 (0.976, 1.128) | 0.318 |
Consumption of high-fat foods (n, often) | 2.298 | 1.098 | 4.218 | 8.912 (1.038–7.398) | 0.031 |
Sleep time (< 10 h) | 0.709 | 1.019 | 0.482 | 2.029 (0.268–9.876) | 0.476 |