Background: Several studies have suggested that the ovarian cancer risk reductions associated with parity and oral contraceptive use are weaker in postmenopausal than premenopausal women, yet little is known about the persistence of these reductions as women age. This question gains importance with the increasing numbers of older women in the population.

Methods: We addressed the question using data from three large U.S. cohort studies involving 310,290 white women aged 50+ years at recruitment, of whom 1,815 developed subsequent incident invasive epithelial ovarian cancer. We used Cox regression, stratified by cohort, to examine age-related trends in the HRs per full-term pregnancy and per year of oral contraceptive use.

Results: The parity-associated risk reductions waned with age (Ptrend < 0.001 in HR with increasing age), particularly among women aged 75 years or more, for whom we observed no association with parity. However, we observed no such attenuation in the oral contraceptive–associated risk reductions (P = 0.79 for trend in HR with increasing age).

Conclusion: These findings suggest that prior oral contraceptive use is important for ovarian cancer risk assessment among women of all ages, while the benefits of parity wane as women age.

Impact: This information, if duplicated in other studies, will be useful to preventive counseling and risk prediction, particularly for women at increased ovarian cancer risk due to a personal history of breast cancer or a family history of ovarian cancer. Cancer Epidemiol Biomarkers Prev; 25(7); 1059–63. ©2016 AACR.

A large and consistent body of evidence indicates that increased parity and duration of oral contraceptive (OC) use are associated with reduced risk of invasive epithelial ovarian cancer (EOC), a malignancy with a 44% 5-year survival rate in the United States (1). Specifically, the data suggest that each full-term pregnancy (FTP) confers a risk reduction of approximately 19% (2), and risks among women with three or more years of OC use are 30% to 50% lower than those of women with little or no use (2, 3).

The available data also suggest that these associations are weaker in postmenopausal than premenopausal women (4–7). However, this observation is based largely on women aged less than 65 years, and little is known about the long-term effects of pregnancy and OC use among women as they age. This question has important clinical and public health significance, as more than 80% of all EOCs now occur after the age of 50 years (8), and this age group represents an increasing proportion of women in developed countries. Thus, the burden of this highly fatal cancer will continue to grow as population distributions of women become more heavily skewed toward older ages, and accurate assessment of women's risks is critical for the development of cost-effective preventive strategies.

Here, we assess the existence and extent of age-related trends in the effects of parity and OC use in older women using data from three large U.S. cohort studies involving 310,290 white women aged 50 years or more at recruitment, of whom 1,815 developed subsequent incident invasive EOC. The three studies were the NIH-AARP Diet and Health Study (hereafter called the AARP study), the California Teachers Study (CTS), and the Women's Health Initiative (WHI).

Study population

The AARP study, established in 1995 to 1996, included 339,669 male and 222,732 female AARP members ages 50 to 71 years and residing in eight regions; California, Florida, Louisiana, New Jersey, North Carolina, Pennsylvania, and the metropolitan areas of Atlanta and Detroit. The CTS, established in 1995 to 1996, included 133,479 female California public school professionals (active or retired) ages 22 years or more at recruitment. The WHI, established in 1993 to 1998 and comprising longitudinal data from a randomized intervention trial and an observational study, includes 161,808 postmenopausal women ages 50 to 79 years, as identified by 40 U.S. study sites. Details about the studies' designs and characteristics have been described elsewhere (9–11).

Participants were potentially eligible for the current analysis if at recruitment they reported that they were white, ages 50 years or more, without prior invasive or noninvasive ovarian cancer diagnosis, and without prior bilateral oophorectomy. A total of 318,709 participants met these criteria (155,636 from AARP, 50,772 from CTS, and 110,407 from the WHI trial and observational cohorts). Of these, 310,290 (154,045 from AARP, 47,365 from CTS, and 108,880 from WHI) provided complete information on parity and duration of OC use and were included in the analysis. Among the 108,880 eligible WHI subjects, 45,939 (42%) were trial participants. Of these, 16,208 participated in the Hormone Replacement Therapy (HRT) Trial and the remaining 29, 731 participated in one or both of the two diet trials (Diet Modification Trial and Calcium and Vitamin D Trial). Among the 16,208 HRT Trial participants, 10,373 also participated one or both of the two dietary trials. We focused on parity and OC use because the three cohorts lacked comparable information on other covariates associated with ovarian cancer (e.g., tubal ligation, prior hysterectomy without bilateral oophorectomy, and duration of menopausal hormone therapy).

Ovarian cancer ascertainment

The AARP and CTS investigators identified incident ovarian cancer cases via linkages with cancer registries in the studies' recruitment areas, while the WHI investigators did so using questionnaires mailed semiannually during active intervention for clinical trial participants and annually otherwise. All three studies monitored participants' vital statuses using the U.S. Social Security Administration Death Master File or the National Death Index. This analysis includes invasive EOCs diagnosed by December 31, 2006 (AARP), December 31, 2011 (CTS), and August 19, 2009 (WHI). EOC histology was available from the cancer registries for the AARP study and CTS. In the WHI, all reported ovarian cancers were documented with medical records and pathology reports obtained at each clinic site and centrally reviewed and coded according to SEER standards (12).

Statistical analysis

We performed left-truncated, right-censored survival analyses using Cox proportional hazards regression models stratified by cohort, with age as the underlying time variable. Each participant's time-at-risk was left truncated at the age she completed her baseline questionnaire and right censored at her age at first occurrence of the following events: last contact, death from any cause; diagnosis of any ovarian cancer (in situ, low malignant potential, invasive epithelial, nonepithelial); bilateral oophorectomy subsequent to baseline questionnaire; and, for AARP and CTS, departure from the cohort catchment area (total US-SEER region for AARP and California for CTS).

All regressions included parity (coded as categorical or as ordinal variable), years of oral contraceptive use, (coded as categorical or as continuous variable), and year of birth (coded as continuous variable). We lacked data on recency of OC use. We used likelihood ratio statistics to evaluate age-related trends in the HRs per FTP and per 5 years of OC use. For example, we tested the null hypothesis of no age-related trend in parity-specific HRs by comparing the likelihood of the basic model that includes parity as ordinal variable (adjusted for OC use and birth year as continuous variables) with that of an expanded model that also includes terms for the product of parity and an ordinal variable for the three age-at-risk categories 50–64, 65–74, and 75+ years. We also used likelihood ratio statistics to evaluate age-related heterogeneity in EOC histology and cohort-heterogeneity in age-specific HRs for parity and OC use. Analyses were implemented using SAS Statistical Software 9.4 (SAS Institute, Cary, NC). All tests of statistical significance are two sided.

This research was approved by the Institutional Review Boards at the three study sites and at Stanford University School of Medicine (Stanford, CA).

Table 1 presents selected characteristics of the three cohorts and the distributions of their eligible participants according to the year of birth, age at recruitment, parity, and years of OC use. Participants contributed, on average, 10.5 person-years at risk (PYR) with overall SD given by 3.3 PYRs. Corresponding cohort-specific values were 9.8 (SD = 2.2) for AARP, 13.0 (SD = 4.7) for CTS, and 10.3 (SD = 3.3) for WHI, during which a total of 1,815 EOCs were diagnosed. The crude incidence rates (CIR) are higher than the US SEER rates for white women of similar ages, a difference that reflects the requirement here that time at risk of ovarian cancer be contributed only by participants with at least one intact ovary (we checked this assertion by applying the SEER rates to the PYRs contributed by an expanded AARP cohort supplemented by women who reported a prior bilateral oophorectomy and found that the expected number of cases was similar to the number observed in the cohort). As expected, the CIRs decreased with increasing year of birth, increasing number of FTPs, increasing years of OC use, and decreasing age at recruitment.

Table 1.

Distribution of participants, PYR, and invasive EOCs by study site

AARPCTSWHITotal
NPYRsEOCsCIRaNPYRsEOCsCIRNPYRsEOCsCIRNPYRsEOCsCIR
All participants 154,045 1,508,720 836 55.4 47,365 617,526 380 61.5 108,880 1,120,878 599 53.4 310,290 3,247,124 1,815 55.9 
Year of birth 
 <1930 44,444 427,330 305 71.4 17,614 204,446 171 83.6 40,341 394,481 227 57.5 102,399 1,026,261 703 68.5 
 1930–39 80,326 789,177 406 51.5 15,102 207,323 125 60.3 47,158 494,275 285 57.7 142,586 1,490,773 816 54.7 
 1940+ 29,275 292,213 125 42.8 14,649 205,757 84 40.8 21,381 232,122 87 37.5 65,305 730,090 296 40.5 
Age (y) at recruitment 
 50–64 100,651 995,395 473 47.5 28,384 394,815 192 48.6 61,277 651,837 323 49.6 190,312 2,042,047 988 48.4 
 65–74 53,394 513,325 363 70.7 11,448 149,893 131 87.4 40,456 404,786 232 57.3 105,298 1,068,004 726 68.0 
 75+ — — —  7,533 72,818 57 78.3 7,147 64,255 44 68.5 14,680 137,073 101 73.7 
Number of FTPs 
 0 23,838 233,185 162 69.5 9,775 125,271 92 73.4 12,369 127,660 77 60.3 45,982 486,116 331 68.1 
 1–2 56,154 552,485 318 57.6 21,675 282,897 172 60.8 35,900 370,582 215 58.0 113,729 1,205,964 717 59.5 
 3–4 57,500 562,992 292 51.9 13,895 182,942 108 59.0 44,318 457,568 230 50.3 115,713 1,203,502 630 52.4 
 5+ 16,553 160,058 64 40.0 2,020 26,416 30.3 16,293 165,068 77 46.7 34,866 351,542 149 42.4 
Years of OC use 
 <1 91,827 896,198 566 63.2 26,193 324,358 252 77.7 72,027 729,214 426 58.4 190,047 1,949,770 1,244 63.8 
 1–4 27,529 270,681 131 48.4 8,170 113,004 56 49.6 15,821 168,234 73 43.4 51,520 551,920 260 47.1 
 5–9 19,536 192,573 89 46.2 7,085 98,058 39 39.8 10,752 114,780 58 50.5 37,373 405,410 186 45.9 
 10+ 15,153 149,268 50 33.5 5,917 82,106 33 40.2 10,280 108,650 42 38.7 31,350 340,024 125 36.8 
AARPCTSWHITotal
NPYRsEOCsCIRaNPYRsEOCsCIRNPYRsEOCsCIRNPYRsEOCsCIR
All participants 154,045 1,508,720 836 55.4 47,365 617,526 380 61.5 108,880 1,120,878 599 53.4 310,290 3,247,124 1,815 55.9 
Year of birth 
 <1930 44,444 427,330 305 71.4 17,614 204,446 171 83.6 40,341 394,481 227 57.5 102,399 1,026,261 703 68.5 
 1930–39 80,326 789,177 406 51.5 15,102 207,323 125 60.3 47,158 494,275 285 57.7 142,586 1,490,773 816 54.7 
 1940+ 29,275 292,213 125 42.8 14,649 205,757 84 40.8 21,381 232,122 87 37.5 65,305 730,090 296 40.5 
Age (y) at recruitment 
 50–64 100,651 995,395 473 47.5 28,384 394,815 192 48.6 61,277 651,837 323 49.6 190,312 2,042,047 988 48.4 
 65–74 53,394 513,325 363 70.7 11,448 149,893 131 87.4 40,456 404,786 232 57.3 105,298 1,068,004 726 68.0 
 75+ — — —  7,533 72,818 57 78.3 7,147 64,255 44 68.5 14,680 137,073 101 73.7 
Number of FTPs 
 0 23,838 233,185 162 69.5 9,775 125,271 92 73.4 12,369 127,660 77 60.3 45,982 486,116 331 68.1 
 1–2 56,154 552,485 318 57.6 21,675 282,897 172 60.8 35,900 370,582 215 58.0 113,729 1,205,964 717 59.5 
 3–4 57,500 562,992 292 51.9 13,895 182,942 108 59.0 44,318 457,568 230 50.3 115,713 1,203,502 630 52.4 
 5+ 16,553 160,058 64 40.0 2,020 26,416 30.3 16,293 165,068 77 46.7 34,866 351,542 149 42.4 
Years of OC use 
 <1 91,827 896,198 566 63.2 26,193 324,358 252 77.7 72,027 729,214 426 58.4 190,047 1,949,770 1,244 63.8 
 1–4 27,529 270,681 131 48.4 8,170 113,004 56 49.6 15,821 168,234 73 43.4 51,520 551,920 260 47.1 
 5–9 19,536 192,573 89 46.2 7,085 98,058 39 39.8 10,752 114,780 58 50.5 37,373 405,410 186 45.9 
 10+ 15,153 149,268 50 33.5 5,917 82,106 33 40.2 10,280 108,650 42 38.7 31,350 340,024 125 36.8 

aCIR, crude incidence rate (# EOCs per 100,000 PYRs).

Table 2 shows that most EOCs were classified as serous cancers (49.7% serous vs. 22.1% nonserous and 28.2% other/unspecified EOCs cancers). The proportion of serous EOCs among those of known histology did not vary significantly with age at risk (⁠|$\chi^2_2=3.19, P=0.20$|⁠) for test of heterogeneity among the three age groups (data not shown).

Table 2.

Distribution of EOC cases according to histologic subtype by cohort

AARPCTSWHITotal
N = 836N = 380N = 599N = 1,815
N (%)N (%)N (%)N (%)
All cases 836 (46.0) 380 (21.3) 599 (33.0) 1,815 (100.0) 
 Serous 436 (52.2) 169 (44.5) 297 (49.6) 902 (49.7) 
 Endometrioid 67 (8.0) 44 (11.6) 59 (9.9) 170 (9.4) 
 Mucinous 36 (4.3) 13 (3.4) 21 (3.5) 70 (3.9) 
 Clear cell 26 (3.1) 20 (5.3) 30 (5.0) 76 (4.2) 
 Undifferentiated/unclassified 271 (32.4) 134 (35.2) 192 (32.0) 597 (32.8) 
AARPCTSWHITotal
N = 836N = 380N = 599N = 1,815
N (%)N (%)N (%)N (%)
All cases 836 (46.0) 380 (21.3) 599 (33.0) 1,815 (100.0) 
 Serous 436 (52.2) 169 (44.5) 297 (49.6) 902 (49.7) 
 Endometrioid 67 (8.0) 44 (11.6) 59 (9.9) 170 (9.4) 
 Mucinous 36 (4.3) 13 (3.4) 21 (3.5) 70 (3.9) 
 Clear cell 26 (3.1) 20 (5.3) 30 (5.0) 76 (4.2) 
 Undifferentiated/unclassified 271 (32.4) 134 (35.2) 192 (32.0) 597 (32.8) 

Table 3 shows EOC HRs corresponding to parity and OC duration for three age-at-risk categories: 50–64, 65–74 and 75+ years. The table shows clear patterns of decreasing EOC risk with increasing parity for women aged less than 75 years, with statistically significant risk reductions of 12% per FTP among women aged <65 years and 8% per FTP among women aged 65 to 74 years. However these patterns are not evident among women aged 75+ years. Indeed, there is no decrease in the EOC HR with increasing FTPs (Pinteraction < 0.001 between parity and age at risk).

Table 3.

Parity and OC use in relation to invasive EOC incidence by age at risk

Age (years) at risk
50–6465–7475+
PYRsEOCsCIRaHRb (95% CI)PYRsEOCsCIRHR (95% CI)PYRsEOCsCIRHR (95% CI)
FTP   — —   — —   — — 
 0 209,428.3 116 55.39 1.00 (ref) 194,582.2 154 79.14 1.00 (ref) 82,104.3 61 74.30 1.00 (ref) 
 1–2 523,337.8 206 39.36 0.93 (0.75–1.16) 485,899.1 234 48.16 0.84 (0.69–1.02) 196,728.6 100 50.83 1.01 (0.75–1.37) 
 3–4 391,339.8 173 44.21 0.69 (0.54–0.89) 587,899.6 367 62.43 0.74 (0.61–0.89) 224,262.1 166 74.02 0.98 (0.72–1.32) 
 5+ 82,103.5 34 41.41 0.38 (0.22–0.63) 194,164.4 135 69.53 0.56 (0.43–0.73) 75,274.3 69 91.66 0.92 (0.62–1.36) 
 Trend per FTP    0.88 (0.83–0.93)    0.91 (0.88–0.95)    1.00 (0.95–1.06) 
 Pinteraction≤ 0.001c 
Years of OC use             
 <1 508,337.6 248 48.79 1.00 (ref) 963,115.4 650 67.49 1.00 (ref) 478,316.4 346 72.34 1.00 (ref) 
 1–4 302,470.8 125 41.33 0.85 (0.68–1.06) 208,348.1 116 55.68 0.87 (0.71–1.06) 41,101.4 19 46.23 0.65 (0.41–1.03) 
 5–9 225,398.2 94 41.70 0.86 (0.67–1.09) 151,149.4 76 50.28 0.80 (0.63–1.02) 28,862.5 16 55.44 0.77 (0.46–1.27) 
 10+ 170,002.8 62 55.39 0.73 (0.55–0.97) 139,932.4 48 79.14 0.53 (0.39–0.71) 30,089.0 15 74.30 0.70 (0.42–1.18) 
 Trend per 5 years of use    0.88 (0.80–0.98)    0.82 (0.74–0.91)    0.85 (0.71–1.02) 
 Pinteraction = 0.79d 
Age (years) at risk
50–6465–7475+
PYRsEOCsCIRaHRb (95% CI)PYRsEOCsCIRHR (95% CI)PYRsEOCsCIRHR (95% CI)
FTP   — —   — —   — — 
 0 209,428.3 116 55.39 1.00 (ref) 194,582.2 154 79.14 1.00 (ref) 82,104.3 61 74.30 1.00 (ref) 
 1–2 523,337.8 206 39.36 0.93 (0.75–1.16) 485,899.1 234 48.16 0.84 (0.69–1.02) 196,728.6 100 50.83 1.01 (0.75–1.37) 
 3–4 391,339.8 173 44.21 0.69 (0.54–0.89) 587,899.6 367 62.43 0.74 (0.61–0.89) 224,262.1 166 74.02 0.98 (0.72–1.32) 
 5+ 82,103.5 34 41.41 0.38 (0.22–0.63) 194,164.4 135 69.53 0.56 (0.43–0.73) 75,274.3 69 91.66 0.92 (0.62–1.36) 
 Trend per FTP    0.88 (0.83–0.93)    0.91 (0.88–0.95)    1.00 (0.95–1.06) 
 Pinteraction≤ 0.001c 
Years of OC use             
 <1 508,337.6 248 48.79 1.00 (ref) 963,115.4 650 67.49 1.00 (ref) 478,316.4 346 72.34 1.00 (ref) 
 1–4 302,470.8 125 41.33 0.85 (0.68–1.06) 208,348.1 116 55.68 0.87 (0.71–1.06) 41,101.4 19 46.23 0.65 (0.41–1.03) 
 5–9 225,398.2 94 41.70 0.86 (0.67–1.09) 151,149.4 76 50.28 0.80 (0.63–1.02) 28,862.5 16 55.44 0.77 (0.46–1.27) 
 10+ 170,002.8 62 55.39 0.73 (0.55–0.97) 139,932.4 48 79.14 0.53 (0.39–0.71) 30,089.0 15 74.30 0.70 (0.42–1.18) 
 Trend per 5 years of use    0.88 (0.80–0.98)    0.82 (0.74–0.91)    0.85 (0.71–1.02) 
 Pinteraction = 0.79d 

Abbreviation: CI, confidence interval.

aCIR, crude incidence rate (# EOCs per 100,000 PRYs).

bHR, hazard ratio from Cox regression with baseline hazard stratified by cohort. Parity HRs are adjusted for birth year and OC use, and OC HRs are adjusted for birth year and parity.

cLikelihood ratio |$\chi^2_2$| test of hypothesis that risk per FTP does not vary with age at risk.

dLikelihood ratio |$\chi^2_2$| test of hypothesis that risk per 5 years of OC use does not vary with age at risk.

In contrast, the lower EOC risk associated with duration of OC use did not vary with attained age (Pinteraction = 0.79). The risk reductions per 5 years of OC use ranged from 12% to 18% in the three age groups, with no evidence for differences among the attained age groups, and with an overall reduction of 14% (95% confidence interval: 8%–20%) among all ages combined. Indeed, even in the highest age group, despite the relatively few person-years contributed by women with a history of OC use, we nevertheless observed a statistically significant risk reduction among OC users relative to nonusers, with only 50 ovarian cancer cases observed among users compared with 72.4 cases expected (P < 0.004). Overall, increasing duration of OC use was associated with decreasing risk: a model involving four duration categories provided better fit (P = 0.01) than one involving just two categories (use for less than or more than one year). These findings were similar when we restricted analysis to serous and to nonserous EOCs (data not shown). Restriction of analysis to EOC cases with specific nonserous histologies was precluded by the sparsity of these cases, as seen in Table 2. Finally, we found no evidence for intercohort heterogeneity in the HRs associated with parity (nulliparous vs. parous; P = 0.39) or duration of OC use (less than one year vs. one or more years; P = 0.71).

We used data from Caucasian participants of three large prospective cohort studies to examine how the risk reductions associated with parity and OC use change as women age. We found age-related differences in the protective effects of parity, with significantly reduced parity-associated HRs among women less than 75 years, but no effect at later ages. In contrast, we did not find evidence that the risk reductions associated with OC use wane with age among older women.

Interpreting these findings and their implications for the etiology and pathogenesis of EOC is challenging. As the lag between last exposure and age at risk is likely to be greater for pregnancy than for OC use (which may end only at menopause), the observed lack of age-related trend in the effects of OC use could reflect its recency relative to that of pregnancy. Another issue is that the HR associated with OC use may be attenuated among women aged 50 to 60 years by their use of menopausal hormone therapy, which is positively correlated with OC use (13).

The observed temporal waning of the effects of pregnancy is consistent with the hypothesis that anovulation reduces a woman's ovarian cancer risk by reducing her burden of mutated epithelial cells at risk of conversion to malignancy. These mutations may reflect some ovulatory consequence (such as rupture of the ovarian epithelium or cellular exposure to follicular fluid or to hormonal fluctuations). The long-term benefits of anovulation (i.e., reducing the burden of premalignant cells) may be attenuated by the occurrence of additional somatic mutations occurring as part of normal ovarian tissue aging (14, 15). The attenuation may be greater for pregnancy than OC use because pregnancies occurred in the more distant past. Alternatively, the attenuation may be more obvious for pregnancy than OC use because a year of pregnancy-induced anovulation confers a greater risk reduction at all ages than one due to OC use, possibly due to transient hormonal changes during pregnancy that induce apoptosis of existing premalignant cells (16).

The current combined analysis of large prospective cohorts has several advantages. Unlike retrospective case–control studies comparing prior OC use as recalled by EOC cases with those of disease-free controls, the cohort design ascertains reproductive history at cohort entry relatively soon after menopause and before the onset of disease, and thus avoids potential long-term recall bias. However, the combined analysis of large cohorts has weaknesses. In this study, for example, the questionnaire data were too limited to allow evaluation of such factors as recency of anovulatory exposures to age at risk. Another limitation is the sparsity of OC users who subsequently developed EOC at ages 75+ years (n = 50). These limitations emphasize the need for replication of the current observations in other large cohorts of older women.

In summary, the current data suggest that the protective effects of OC use persist for decades after the menopause, while the protection afforded by increased parity wanes in older women, particularly those aged 75 years of more. This information, if duplicated in other studies, will be useful to preventive counseling and risk prediction, particularly for women at elevated ovarian cancer risk due to a personal history of breast cancer or a family history of ovarian cancer.

No potential conflicts of interest were disclosed.

Conception and design: V. McGuire, P. Hartge, R. Sinha, M.L. Stefanick, A.S. Whittemore

Development of methodology: V. McGuire, A.S. Whittemore

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): P. Hartge, L.M. Liao, R. Sinha, L. Bernstein, G.L. Anderson, M.L. Stefanick

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): V. McGuire, G.L. Anderson, A.S. Whittemore

Writing, review, and/or revision of the manuscript: V. McGuire, P. Hartge, L.M. Liao, R. Sinha, L. Bernstein, A.J. Canchola, G.L. Anderson, M.L. Stefanick, A.S. Whittemore

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): L. Bernstein, A.J. Canchola, M.L. Stefanick

Study supervision: L. Bernstein, A.S. Whittemore

The authors thank the participants in the NIH-AARP Diet and Health Study for their outstanding cooperation. The authors also thank Sigurd Hermansen and Kerry Grace Morrissey from Westat for study outcomes ascertainment and management, Leslie Carroll at Information Management Services for data support and analysis, the WHI investigators and staff for their dedication, the study participants for making the program possible, and Pamela Horn-Ross and David Nelson from the California Teachers' Study for helpful discussion. A full listing of WHI investigators can be found at: http://www.whi.org/researchers/Documents%20%20Write%20a%20Paper/WHI%20Investigator%20Short%20List.pdf.

This research was supported by the NIH grants R01CA094069 (to A.S. Whittemore) and the Stanford Cancer Institute Developmental Cancer Research Award (to A.S. Whittemore). The California Teachers Study was supported by RO1 CA77398 (to L. Bernstein). The AARP program was supported (in part) by the Intramural Research Program of the NIH, NCI (http://dietandhealth.cancer.gov/acknowledgement.html; to P. Hartge, L.M. Liao, and R. Sinha). The Women's Health Initiative program is funded by the National Heart, Lung, and Blood Institute, NIH, U.S. Department of Health and Human Services through contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C (to G.L. Anderson and M.L. Stefanick).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

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