Table 2. Associations of urinary phytoestrogen excretion with prostate cancer riska.
| Q1 | Q2 | Q3 | Q4 | Q5 | P-value for linear trend | |
|---|---|---|---|---|---|---|
| Daidzein | ⩽0.053b | 0.053–⩽0.151 | 0.151–⩽0.386 | 0.386–⩽1.630 | >1.630 | |
| Cases/controls | 59/71 | 57/75 | 48/81 | 45/86 | 40/91 | |
| OR (95% CI) | 1.00 | 1.03 (0.61–1.74) | 0.83 (0.50–1.38) | 0.74 (0.44–1.25) | 0.55 (0.31–0.98) | 0.03 |
| Genistein | ⩽0.009 | 0.009–⩽0.038 | 0.038–⩽0.126 | 0.126–⩽0.729 | >0.729 | |
| Cases/controls | 54/76 | 62/70 | 46/87 | 45/85 | 42/89 | |
| OR (95% CI) | 1.00 | 1.48 (0.88–2.49) | 0.91 (0.53–1.55) | 0.99 (0.59–1.69) | 0.72 (0.40–1.31) | 0.09 |
| Equol | ⩽0.001 | 0.001–⩽0.010 | >0.010 | |||
| Cases/controls | 90/148c | 70/137 | 89/119 | |||
| OR (95% CI) | 1.00 | 0.89 (0.58–1.37) | 1.32 (0.84–2.08) | 0.08 | ||
| Equol (producers only)d | ⩽0.005 | 0.005–⩽0.023 | >0.023 | |||
| Cases/controls | 47/64 | 47/64 | 50/61 | |||
| OR (95% CI) | 1.00 | 1.05 (0.59–1.85) | 1.32 (0.72–2.42) | 0.64 | ||
| Daidzein+Genistein | ⩽0.069 | 0.069–⩽0.202 | 0.202–⩽0.522 | 0.522–⩽2.565 | >2.565 | |
| Cases/controls | 56/74 | 62/69 | 44/86 | 45/87 | 42/88 | |
| OR (95% CI) | 1.00 | 1.38 (0.83–2.30) | 0.74 (0.44–1.24) | 0.83 (0.49–1.39) | 0.63 (0.35–1.14) | 0.07 |
| Daidzein+Genistein+Equol | ⩽0.077 | 0.077–⩽0.213 | 0.213–⩽0.549 | 0.549–⩽2.773 | >2.773 | |
| Cases/controls | 56/74 | 58/73 | 47/84 | 44/86 | 44/87 | |
| OR (95% CI) | 1.00 | 1.27 (0.76–2.21) | 0.84 (0.51–1.40) | 0.86 (0.51–1.44) | 0.74 (0.42–1.30) | 0.19 |
| Enterolactone | ⩽0.227 | 0.227–⩽0.798 | 0.798–⩽1.493 | 1.493–⩽2.667 | >2.667 | |
| Cases/controls | 57/74 | 47/83 | 38/92 | 55/77 | 52/78 | |
| OR (95% CI) | 1.00 | 0.71 (0.42–1.21) | 0.58 (0.34–0.98) | 0.97 (0.57–1.66) | 0.98 (0.58–1.66) | 0.44 |
Matching for geographic location (Hawaii or California), race/ethnicity, birth year (±1 year), date (±6 months) and time (±2 h) of specimen collection, and fasting hours (0–<6, 6–<8, 8–<10, and 10+ h). The models were adjusted for age at specimen collection and fasting hours as continuous variables, as well as family history of prostate cancer, BMI, and education.
Expressed as nmol mg−1 creatinine.
Subjects with values below the limit of quantitation.
Unconditional logistic regression was used with adjustment for the matching criteria and the same covariates as in conditional logistic models.