Table 3 Multi-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) | 0.438 | 0.159 | 2.387 | 1.476 (1.139–2.009) | 0.005 |
Bone age (> 10 years old) | 1.003 | 0.159 | 6.382 | 2.387 (1.021–3.987) | ＜0.001 |
Daily exercise time (< 0.9 h) | 1.327 | 0.247 | 4.382 | 3.287 (2.381–4.398) | ＜0.001 |
E2 (≥ 66.00pmol/L) | 1.019 | 0.382 | 2.673 | 2.671 (1.238–4.382) | 0.006 |
FSH (≥ 6.00U/L) | 1.769 | 0.332 | 4.387 | 4.392 (2.391–7.913) | ＜0.001 |
LH (≥ 3.50U/L) | 2.187 | 0.278 | 6.387 | 7.761 (3.193–8.887) | ＜0.001 |
Leptin (≥ 8.00 µg/L) | 0.971 | 0.439 | 5.021 | 2.761 (1.109–4.302) | 0.019 |
Mother’s menarche time (< 12 years old) | 1.637 | 0.635 | 6.038 | 5.238 (1.309–8.391) | 0.012 |
Family history (Yes) | 1.728 | 0.609 | 7.382 | 5.781 (1.387–12.109) | 0.004 |
Living environment (chemical industry zone) | 1.582 | 0.632 | 4.321 | 4.871 (1.328–17.398) | 0.021 |
Consumption of nutritional supplements (n, often) | 2.239 | 0.621 | 12.398 | 6.398 (2.013–9.871) | ＜0.001 |
Consumption of high-fat foods (n, often) | 0.387 | 0.183 | 2.165 | 1.437 (1.038–2.078) | 0.029 |
Sleep time (< 10 h) | 0.023 | 0.003 | 3.273 | 1.023 (1.002–1.439) | 0.001 |