Table 3.
The results of logistic regression modeling examine the effect of reproductive and body composition factors on hyperuricemia.
| Un-matched analysis (n=18997) | 1:2 Age-matched analysis (n=6202) | |||||||
|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | P | OR | 95%CI | P | |||
| Overall | ||||||||
| Overweight | 2.548 | 2.247 | 2.889 | <0.001 | 2.658 | 2.307 | 3.063 | <0.001 |
| Obesity | 4.941 | 4.200 | 5.812 | <0.001 | 5.432 | 4.519 | 6.529 | <0.001 |
| Higher BFP | 3.254 | 2.681 | 3.950 | <0.001 | 3.405 | 2.890 | 4.013 | <0.001 |
| Higher FMI | 3.405 | 2.830 | 4.098 | <0.001 | 3.664 | 3.134 | 4.282 | <0.001 |
| Higher FFMI | 2.571 | 2.323 | 2.845 | <0.001 | 2.673 | 2.350 | 3.042 | <0.001 |
| Menopause | 1.884 | 1.614 | 2.198 | <0.001 | 1.554 | 1.222 | 1.975 | <0.001 |
| Menarche age <12 | 1.171 | 1.016 | 1.349 | 0.031 | 1.231 | 0.995 | 1.524 | 0.056 |
| BMI<24 | ||||||||
| Menopause | 1.999 | 1.538 | 2.598 | <0.001 | 1.093 | 0.642 | 1.861 | 0.742 |
| Menarche age <12 | 1.241 | 0.981 | 1.571 | 0.071 | 1.209 | 0.803 | 1.823 | 0.364 |
| BMI≥24 | ||||||||
| Menopause | 1.845 | 1.554 | 2.190 | <0.001 | 1.430 | 1.007 | 2.029 | 0.046 |
| Menarche age <12 | 1.151 | 0.992 | 1.336 | 0.063 | 1.093 | 0.774 | 1.544 | 0.613 |
| BFP<32 | ||||||||
| Menopause | 1.989 | 1.542 | 2.565 | <0.001 | 1.629 | 0.927 | 2.861 | 0.090 |
| Menarche age <12 | 1.342 | 1.007 | 1.787 | 0.045 | 1.231 | 0.840 | 1.803 | 0.286 |
| BFP≥32 | ||||||||
| Menopause | 1.783 | 1.504 | 2.115 | <0.001 | 1.515 | 1.058 | 2.169 | 0.023 |
| Menarche age <12 | 1.142 | 0.944 | 1.380 | 0.166 | 0.937 | 0.656 | 1.339 | 0.721 |
| FMI<7 | ||||||||
| Menopause | 2.288 | 1.531 | 3.419 | <0.001 | 1.314 | 0.447 | 3.867 | 0.620 |
| Menarche age <12 | 1.178 | 0.827 | 1.679 | 0.356 | 1.006 | 0.572 | 1.771 | 0.983 |
| FMI≥7 | ||||||||
| Menopause | 1.805 | 1.544 | 2.110 | <0.001 | 1.457 | 1.093 | 1.944 | 0.010 |
| Menarche age <12 | 1.204 | 1.021 | 1.421 | 0.029 | 1.123 | 0.856 | 1.472 | 0.402 |
| FFMI<15 | ||||||||
| Menopause | 1.969 | 1.457 | 2.661 | <0.001 | 1.116 | 0.662 | 1.884 | 0.680 |
| Menarche age <12 | 1.288 | 1.008 | 1.645 | 0.044 | 1.415 | 0.946 | 2.117 | 0.091 |
| FFMI≥15 | ||||||||
| Menopause | 1.931 | 1.636 | 2.279 | <0.001 | 1.425 | 0.999 | 2.030 | 0.050 |
| Menarche age <12 | 1.145 | 0.973 | 1.347 | 0.101 | 1.057 | 0.753 | 1.484 | 0.750 |
The conditional logistic regression modeling method was used in the age-matched case-control analysis. The confounders adjusted in the logistic models were age (only in the unmatched analysis), residential areas, study sites, educational levels, and income. OR, odds ratio; CI, confidence interval; BFP, body fat percentage, %; FMI, fat mass index, kg/m2; FFMI, fat free mass index, kg/m2; BMI, body mass index, kg/m2.