Table 3.
Variables | Numbers | MMP-1 | MMP-2 | MMP-3 | MMP-7 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cases | Controls | OR | (95% CI) | Pint d | OR | (95% CI) | Pint d | OR | (95% CI) | Pint d | OR | (95% CI) | Pint d | |
Age, y b | 0.85 | 0.69 | 0.62 | 0.22 | ||||||||||
<65 | 282 | 277 | 1.17 | (0.79–1.72) | 0.86 | (0.57–1.30) | 0.83 | (0.57–1.22) | 1.30 | (0.88–1.93) | ||||
≥65 | 431 | 436 | 1.01 | (0.76–1.34) | 0.93 | (0.69–1.25) | 1.00 | (0.75–1.34) | 0.95 | (0.71–1.28) | ||||
Ethnicity b | 0.98 | 0.96 | 0.33 | 0.81 | ||||||||||
White | 151 | 151 | 1.29 | (0.78–2.10) | 1.11 | (0.66–1.90) | 0.88 | (0.55–1.42) | 0.91 | (0.54–1.52) | ||||
African-American | 107 | 107 | 0.92 | (0.52–1.64) | 0.57 | (0.28–1.18) | 1.58 | (0.78–3.18) | 1.25 | (0.63–2.47) | ||||
Native Hawaiian | 68 | 68 | 0.96 | (0.44–2.07) | 1.16 | (0.57–2.34) | 0.93 | (0.50–1.75) | 0.96 | (0.49–1.87) | ||||
Japanese-American | 254 | 254 | 0.99 | (0.68–1.44) | 0.94 | (0.63–1.41) | 0.89 | (0.60–1.30) | 1.18 | (0.79–1.77) | ||||
Latino | 133 | 133 | 1.43 | (0.81–2.52) | 0.88 | (0.48–1.60) | 0.78 | (0.44–1.39) | 1.06 | (0.61–1.86) | ||||
Body mass index c | 0.03 | 0.71 | 0.68 | 0.64 | ||||||||||
<25.0 | 320 | 382 | 0.91 | (0.66–1.24) | 1.00 | (0.72–1.39) | 0.96 | (0.71–1.32) | 1.01 | (0.73–1.40) | ||||
25.0–29.9 | 250 | 199 | 1.08 | (0.74–1.60) | 0.66 | (0.43–1.02) | 0.76 | (0.50–1.15) | 0.99 | (0.67–1.47) | ||||
≥30.0 | 129 | 122 | 1.77 | (1.02–3.06) | 1.47 | (0.85–2.57) | 1.16 | (0.67–2.01) | 1.17 | (0.68–2.02) | ||||
Hormone replacement therapy use b | 0.04 | 0.62 | 0.64 | 0.96 | ||||||||||
No | 472 | 472 | 0.92 | (0.70–1.20) | 0.90 | (0.67–1.21) | 1.00 | (0.76–1.33) | 1.10 | (0.82–1.47) | ||||
Yes | 241 | 241 | 1.73 | (1.16–2.59) | 1.01 | (0.69–1.50) | 0.91 | (0.63–1.32) | 0.98 | (0.67–1.42) |
Abbreviation: MMP, matrix metalloproteinase; Pint, P Value for interaction.
Odds ratios and 95% confidence intervals were based on a change in two standard deviation of the log-transformed plasma MMPs (pg/mL).
Modeled through conditional logistic regression after adjustment for body mass index, number of live births, and family history of breast cancer.
Modeled through unconditional logistic regression model after adjustment for body mass index, number of live births, family history of breast cancer, study area, ethnicity, birth year, date of blood draw, fasting time, and use of hormone replacement therapy.
Tests for interaction based on the Wald statistic for cross-product terms between the corresponding variable and the log-transformed plasma MMP level.