Table 2.
Pearson’s correlation analysis showing strength of association between different parameters in the case group (N = 45)
| HOMA-IR | LH/FSH | Testosterone (ng/ml) | WHR | BMI | ||
|---|---|---|---|---|---|---|
| HOMA-IR | r | 1.000 | 0.213 | 0.432* | 0.368* | −0.110 |
| p value | – | 0.233 | 0.012 | 0.035 | 0.541 | |
| Serum LH/FSH | r | 0.213 | 1.000 | 0.747* | −0.192 | −0.096 |
| p value | 0.233 | – | 0.000 | 0.284 | 0.594 | |
| Serum testosterone (μg/l) | r | 0.432* | 0.747** | 1.000 | 0.120 | −0.018 |
| p value | 0.012 | 0.000 | – | 0.507 | 0.919 | |
| WHR | r | 0.368* | −0.192 | 0.120 | 1.000 | 0.360* |
| p value | 0.035 | 0.284 | 0.507 | – | 0.040 | |
| BMI | r | −0.110 | −0.096 | −0.018 | 0.360* | 1.000 |
| p value | 0.541 | 0.594 | 0.919 | 0.040 | – |
Statistical done by SPSS 16 for windows, r = Pearson’s correlation coefficient
*Correlation is significant at the 0.05 level (2-tailed) at 95 % confidence level; **Correlation is significant at the 0.01 level (2-tailed) at 95 % confidence level