Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • Log out
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Body Mass Index, Height, and the Risk of Ovarian Cancer Mortality in a Prospective Cohort of Postmenopausal Women

Carmen Rodriguez, Eugenia E. Calle, Dorna Fakhrabadi-Shokoohi, Eric J. Jacobs and Michael J. Thun
Carmen Rodriguez
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eugenia E. Calle
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dorna Fakhrabadi-Shokoohi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eric J. Jacobs
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael J. Thun
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI:  Published September 2002
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Endogenous hormones may play a role in ovarian carcinogenesis. Postmenopausal obesity, although associated with higher circulating levels of estrogen and androgens, has not been linked consistently to ovarian cancer. The present study examined the relationship between body mass index (BMI), height, and ovarian cancer mortality among postmenopausal women in a large prospective mortality study of 300,537 women who were cancer free at enrollment in 1982 and had no history of hysterectomy or ovarian surgery. During 16 years of follow-up, 1,511 deaths occurred from ovarian cancer. Cox proportional hazard modeling was used to compute rate ratios (RRs) and to adjust for confounders. Ovarian cancer mortality rates were higher among overweight [BMI ≥25;RR, 1.16; 95% confidence interval (CI), 1.04–1.30] and obese women (BMI ≥30; RR, 1.26; 95% CI, 1.07–1.48) compared with women with BMI <25. Use of postmenopausal estrogens modified the association between BMI and ovarian cancer mortality (P = 0.05). The increased risk associated with obesity (BMI ≥30) was limited to women who never used postmenopausal estrogens (RR, 1.36; 95% CI, 1.12–1.66) and was not seen among ever users (RR, 0.93; 95% CI, 0.62–1.41). Height was positively associated with ovarian cancer mortality. Compared with women 152–156 cm tall, ovarian cancer mortality rates were lowest for the shortest women (RR, 0.72; 95% CI, 0.47–1.10 for women <152 cm) and highest for the tallest (RR, 1.41; 95% CI, 0.95–2.09 for women ≥177 cm). In this study, obesity and height appear to be independently associated with ovarian cancer mortality. The 36% increase in risk associated with obesity among women who had never used postmenopausal estrogens may have important public health implications because obesity is a growing problem in the United States.

Introduction

Endogenous hormones are hypothesized to be involved in the etiology of ovarian cancer (1, 2, 3) . Postmenopausal circulating levels of estrogens and androgens are higher among obese women, and obesity is a well-established risk factor for hormone-related cancers, such as breast and endometrial cancer (4) . Ovarian cancer, however, has not been linked consistently to obesity.

Eighteen case-control studies (5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22) have been examined for the association between BMI2 and ovarian cancer. Five (6 , 9, 10, 11 , 14) of nine hospital-based case-control studies found no association, three reported a positive association (7 , 8 , 18) , and one (13) found increased risk with lower BMI. In contrast, six (5 , 12 , 15, 16, 17 , 20) of the nine population-based case-control studies (5 , 12 , 15, 16, 17 , 19, 20, 21, 22) found moderately increased risk with higher BMI. The results from case-control studies may reflect selection bias in the hospital-based case-control studies if hospital controls tended to be more obese than general population controls.

Only three prospective studies, all relatively small, have examined the association between obesity and ovarian cancer. The largest study (23) , including 175 cases, reported 60% increased risk of ovarian cancer mortality in women with a weight index at least 40%-plus above the average weight of the cohort. No increased risk was observed in a Danish cohort of women discharged with diagnoses of obesity (24) . Limitations of this study were its reliance on the use of an external comparison group and an inability to control for other well-defined ovarian cancer risk factors that may be associated with obesity. Risk of ovarian cancer increased with increasing waist:hip ratio in the Iowa Women’s Health Study cohort (25) , suggesting an association with abdominal adiposity, but no increased risk was seen with increasing BMI. The Iowa study included only 97 ovarian cancer cases and may have had limited power to detect modest increases in risk.

Previous studies have not examined whether the effect of BMI on ovarian cancer risk was modified by use of postmenopausal estrogen, which has been associated with increased ovarian cancer risk in this study (2) and another prospective study (26) . In this analysis, we hypothesized that obesity might increase ovarian cancer risk only among women who did not use postmenopausal estrogen. Effect modification by postmenopausal estrogen use is biologically plausible because obesity may increase ovarian cancer risk by increasing circulating levels of estrogens because of peripheral aromatization of androgens in adipose tissue (27, 28, 29) . Therefore, obesity might be expected to have little effect on ovarian cancer risk among women who already had high levels of circulating estrogen because of the use of postmenopausal estrogen. This type of interaction between obesity and postmenopausal estrogen use has been documented previously for breast cancer (30 , 31) .

No trend of increasing risk with increasing height has been reported in three previous studies (14 , 18 , 32) that assessed the association between height and ovarian cancer incidence. Two studies (14 , 18) were conducted in Japan and had as a maximum height category women taller than 158 cm. The third study (32) was conducted in Greece and reported no significant increase in risk among women ≥165 cm tall.

We examined the association between BMI, height, and the risk of ovarian cancer mortality in a large prospective cohort of postmenopausal women and whether use of postmenopausal estrogens modified this association.

Materials and Methods

Participants.

Women in this study were selected from the 676,288 female participants in the CPS-II, a prospective mortality study of ∼1.2 million women and men begun by the American Cancer Society in 1982. Participants were identified and enrolled by >77,000 American Cancer Society volunteers throughout the United States and Puerto Rico (33) . Participants completed a confidential, self-administered questionnaire in 1982 that included personal identifiers, demographic characteristics, personal and family history of cancer and other diseases, reproductive history, and various behavioral, environmental, occupational, and dietary exposures.

The vital status of study participants was determined through December 31, 1998, using two approaches. Volunteers made personal inquiries in 1984, 1986, and 1988 to determine whether their enrollees were alive or dead and to record the date of all deaths. Subsequent to 1988, automated linkage using the National Death Index was used to extend follow-up through 1998 (34) and to identify deaths among the few participants lost to follow-up between 1982 and 1988. Ascertainment of death was 99% complete from the time of enrollment through September 1988 (the end of volunteer follow-up) and ∼93% complete from that time through December 31, 1988 (34) . All aspects of the CPS-II cohort are approved by the Emory University School of Medicine Human Investigations Committee. Informed consent to participate in the study was implied by the return of a completed self-administered questionnaire in 1982.

At a completion of mortality follow-up in December 1998, a total of 131,039 women (19.4%) had died, 543,408 (80.3%) were still living, and 2,079 (0.3%) had follow-up truncated on September 1, 1988 because of insufficient data for National Death Index linkage. Death certificates were obtained for 98.4% of all women known to have died and were coded according to the International Classification of Diseases, Ninth Revision (35) . Deaths from ovarian cancer were defined as those women who died with ovarian cancer (International Classification of Diseases-9 codes 183.0–183.9) as the underlying cause of death through December 31, 1998. We made the following exclusions for our analytic cohort: women with a history of cancer at the time of enrollment (except nonmelanoma skin cancer;n = 57,106); women who were premenopausal or who had unknown menopausal status (n = 134,884); and women with missing values of height or weight or with extreme ≤0.10th percentile or ≥99.90th percentile values of height, weight, or BMI (n = 15,277). We also excluded women who reported having had hysterectomy or previous ovarian surgery, because we could not distinguish partial from total oophorectomy (n =168,484). After these exclusions, a total of 300,537 women and 1,511 ovarian cancer deaths were eligible for analysis.

Assessment of Anthropometric Variables.

BMI (weight in kg/height in m2) was calculated from reported height and weight and was categorized as follows: <18.50, 18.50–20.49, 20.50–21.99, 22.0–23.49, 23.50–24.99, 25.0–26.49, 26.50–27.99, 28.0–29.99, 30.0–34.99, and ≥35.00. We used BMI = 18.50–20.49 as the referent group for analyses. These categories correspond to cutpoints proposed by the WHO (36) for underweight (BMI <18.50), normal range (BMI 18.50–24.99), overweight grade 1 (BMI 25.00–29.99), and overweight grade 2 or obese (BMI 30.00–39.99). We conducted addition analyses using these WHO-recommended categories with BMI <25.00 as the referent category. Height in centimeters was categorized in increments of 5 cm. The minimum category was <152 cm, and the maximum was ≥177 cm. We used height of 152–156 cm as the referent group.

Statistical Analysis.

Age-standardized death rates and RRs were calculated at each level of BMI and height. Death rates were directly standardized to the age distribution of the female population of the CPS-II cohort. We used Cox proportional hazards modeling to compute RRs and to adjust for potential confounders. For all of the Cox models, we stratified on the exact year of age at enrollment and controlled for race (white, nonwhite), duration of oral contraceptive use (never, <5 years, ≥5 years), number of full-term pregnancies (0, 1, 2–3, ≥4), age at menarche (<12, ≥12 years), age at menopause (<40, 40–49, ≥50 years), status and duration of ERT use (never, former <10 years of use, former ≥10 years of use, current <10 years of use, current ≥10 years of use). BMI and height were included in all models. Education, family history of breast and/or ovarian cancer, and smoking were also examined as potential confounders. However, we did not adjust for these factors in the final models because such adjustment had virtually no effect on our results. The Mantel-Haenszel (37) test for trend was used to assess the statistical significance of the association between the risk of ovarian cancer deaths and levels of increased BMI or height.

To test whether any of the potential risk factors modified the association between BMI and height and ovarian cancer, we entered multiplicative interaction terms between BMI or height and all of the other covariates into the multivariate models one at a time. We grouped BMI in three categories (<25.0, 25.0–29.99, and ≥30.0). The statistical significance of the interaction terms was assessed at the P = 0.05 level using the likelihood ratio test (38) .

Results

About 3% (n = 8,024) of women in the study population were underweight (BMI <18.5), 58% (n =174,622) were in the normal range (BMI = 18.5 to <25.0), 28% (n = 83,370) were grade 1 overweight (BMI = 25.0 to <30.0), and 11% (n = 34,002) were grade 2 overweight or obese (BMI ≥30.0) as defined by WHO.

The age-adjusted percent distribution of certain ovarian cancer risk factors varied considerably by BMI (Table 1)⇓ . Leaner women were more likely to be white, to be taller, and to be more educated. They were also more likely to have used oral contraceptives or postmenopausal estrogens, to have fewer number of pregnancies, to exercise more, and to be current smokers. Smaller differences were observed between BMI levels for other potential ovarian cancer risk factors. Shorter women were older at study entry, had younger age at menarche, were more likely to be of a race other than white, and to be less educated than taller women (data not shown). Taller women were more likely to have used oral contraceptives (data not shown). Differences by height across other potential risk factors were small.

View this table:
  • View inline
  • View popup
Table 1

Demographic characteristics of women by BMI, CPS-II, 1982–1998

Ovarian cancer mortality rates (using WHO categories) were higher among overweight (BMI ≥25.0; RR, 1.16; 95% CI, 1.04–1.30) and obese women (BMI ≥30.0; RR, 1.26; 95% CI, 1.07–1.48) compared with women with BMI <25 (Table 2)⇓ . Overall, in a finer stratification of BMI categories, we found no evidence of increased risk of ovarian cancer mortality with increasing BMI among women with BMI <26.50 (Table 2)⇓ . Ovarian cancer mortality rates were higher among women with BMI ≥26.5 to <35.0 and highest for women with BMI ≥35.0. Compared with women in the reference group, ovarian cancer mortality was 54% higher among the heaviest women (RR, 1.54; 95% CI, 1.12–2.14). A test for trend was statistically significant (P = 0.001).

View this table:
  • View inline
  • View popup
Table 2

Ovarian cancer mortality by BMI, CPS-II, 1982–1998

As reported previously in this cohort (2) , risk of ovarian cancer mortality was higher among women who ever used postmenopausal estrogens and increased with increasing duration of use among both former and current users at baseline. We further examined whether the association between BMI and ovarian cancer mortality was modified by ever use of postmenopausal estrogens (Table 3)⇓ . For this analysis, we excluded women who reported using estrogen in cream or by injection exclusively and used WHO categories for BMI. Ovarian cancer mortality rates increased with increasing BMI among “never” estrogen users and were 36% higher among obese women (BMI ≥30) than among women of normal weight BMI <25 (p for trend = 0.001); no increase in risk with increasing BMI was seen in “ever” estrogen users (p for trend = 0.72). The P for interaction was 0.05, based on a multiplicative interaction term for ERT and BMI (modeled continuously as a categorical variable). The RRs specifically for obesity (BMI ≥30), however, were not statistically different among women who had used postmenopausal estrogen and women who had not (P = 0.10 for heterogeneity). Chance cannot be ruled out as an explanation for the observed difference in RRs.

View this table:
  • View inline
  • View popup
Table 3

Ovarian cancer mortality by BMI and ever use of ERT, CPS-II, 1982–1998

Height was positively associated with ovarian cancer mortality (Table 4)⇓ . Ovarian cancer death rates were lowest among the shortest women (<152 cm tall; RR, 0.72; 95% CI, 0.47–1.10), plateaued at heights between 152 and 171 cm, and increased with increasing height among women 172 cm tall or higher. Compared with women 152–156 cm tall, ovarian cancer mortality rates were 41% higher among women ≥177 cm (RR, 1.41; 95% CI, 0.95–2.09). The test for trend across height categories was statistically significant (P = 0.01).

View this table:
  • View inline
  • View popup
Table 4

Ovarian cancer mortality by height, CPS-II, 1982–1998

We found no evidence that the association of BMI and height with ovarian cancer mortality was significantly modified by previous use of oral contraceptives or any of the other potential confounders included in the multivariate model.

Discussion

Results from this large prospective study support the hypothesis that postmenopausal obesity is associated with higher death rates from ovarian cancer. Ovarian cancer mortality did not increase steadily throughout the range of lean and normal weight women, however. Higher risk was only observed among overweight and obese women. As we hypothesized, no evidence of increasing risk with increasing BMI was observed among overweight and obese women who ever used postmenopausal estrogen.

The magnitude of the association between BMI and ovarian cancer mortality and the shape of the relationship observed in this study could explain the null results observed in previous studies with smaller numbers of cases or lower cutpoints for the top categories of BMI (16 , 21 , 24 , 25) . Furthermore, it is possible that ovarian cancer, similar to breast cancer, may be associated with obesity only among postmenopausal women. Our study examines the relationship between BMI and ovarian cancer mortality among postmenopausal women, whereas previous studies included both pre- and postmenopausal women.

Possible biological explanations for the observed association between BMI and ovarian cancer mortality involve the potential role of estrogen and androgens in ovarian carcinogenesis. Adipose tissue is the primary source of endogenous estrogen after menopause, and circulating levels of estrogen are higher in postmenopausal women who are obese (27, 28, 29) . Both estradiol and estrone stimulate cell growth in normal and malignant ovarian surface epithelial cell cultures (39) . Thus, estrogens from extraglandular sources may promote proliferation and malignant transformation of epithelial ovarian cells (3) . A role of estrogen in the etiology of ovarian cancer is supported by the observed increased risk with long-term use of postmenopausal estrogens observed in this cohort (2) and another prospective cohort (26) , and the protective effect of breastfeeding, parity, and oral contraceptive use (1) on ovarian cancer risk. In addition, the lack of association between BMI and ovarian cancer observed among women who ever used estrogen therapy may suggest that for ovarian as well as breast cancer (30 , 40) , there may be a threshold level of estrogen exposure that is biologically important, beyond which higher dosages have negligible effect.

Androgens have been proposed to have a relevant role in the pathogenesis of ovarian cancer (1) . High BMI has been associated with increased serum testosterone concentrations among postmenopausal women (27 , 41) , and testosterone and 5α-dihydrotestosterone stimulate growth of malignant and normal cells in vitro (39) . Prediagnostic serum hormone levels of dehydroepiandrosterone and androstenedione were associated with higher ovarian cancer risk in a prospective study of serum hormone levels and the development of ovarian cancer (42) .

Alternatively, risk associated with BMI and height may involve IGF. Obesity, and more specifically abdominal obesity, is related to hyperinsulinemia, and insulin resistance (43) , which increases cholesterol levels and IGF-I. IGF-I has been strongly associated with hormone-dependent cancers, such as breast and prostate cancer (44 , 45) . Epidemiological evidence supporting this hypothesis, however, is limited and inconsistent for ovarian cancer. Higher cholesterol levels were associated with an increased risk of incident ovarian cancer in a prospective study of serum micronutrients and ovarian cancer (42) . History of diabetes mellitus, however, did not increase risk of ovarian cancer in several previous studies that assessed this association (46, 47, 48) . Diabetes reported at study entry did not increase the risk of ovarian cancer in this cohort (data not shown). Height may be a marker of exposure to growth factors during childhood growth. Short stature may reflect caloric restriction during childhood and adolescence. Early caloric restriction is known to correlate with lower stimulation from growth factors such as IGF-I (49) . The increased risk associated with height seen in this study, therefore, is consistent with a role of IGF-I or related growth factors in ovarian cancer risk.

Some limitations of the study should be acknowledged:

(a) We have no direct measure of central adiposity or of lean body mass. Although BMI is an adequate measure of adiposity in young adults and middle-aged populations (50) , it may perform less well in older adults, such as the women included in this cohort. As people age, individuals may lose substantial amounts of lean body mass while maintaining the same weight, thus reducing the validity of BMI as a measure of central adiposity.

(b) We used self-reported weight and height at study entry to calculate BMI, both of which are subject to error (51) . Although self-reported weight and height are highly correlated with measured weight and height (51) , a small, generally systematic error exists: an overestimation of height and an underestimation of weight, especially at higher weights (51) .

(c) The studied outcome was mortality rather than incidence. The increased risk associated with BMI could reflect a high case-fatality rate among obese women. This possibility seems unlikely, however, because of the low survival rate of ovarian cancer in older women (52) and because obesity has not been related to survival among women with either low malignant potential tumors or invasive tumors (53) .

(d) We did not have information on histological type of ovarian cancer that could allow us examining histological specificity with obesity. Results from some (8 , 15) but not all (17) studies suggest that obesity may be related to the endometrioid form of ovarian cancer in particular.

The main strength of the study is its large size (>1,500 ovarian cancer cases), giving us the opportunity to explore prospectively the association of ovarian cancer mortality with a wide range of BMI and height values and the opportunity to adjust for a number of known and hypothesized ovarian cancer risk factors.

In conclusion, results of this large prospective study suggest that overweight and obesity are associated with increased risk of ovarian cancer mortality among women who never used postmenopausal estrogen therapy. Although the observed association is modest, >55% of women aged 25 or older in the United States are overweight or obese (54) , reflecting a 47.4% increase in obesity prevalence in adult women between 1991 and 1998 (55) . This combined with the high fatality rate of ovarian cancer suggests that effects of obesity on ovarian cancer risk identified in this study have importance for public health.

Footnotes

  • 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.

  • ↵1 To whom requests for reprints should be addressed, American Cancer Society, 1599 Clifton Road N.E., Atlanta, GA 30329-4251. Phone: (404) 329-7796; Fax: (404) 327-6450; E-mail: crodrigu{at}cancer.org

  • ↵2 The abbreviations used are: BMI, body mass index; RR, rate ratio; CI, confidence interval; CPS-II, Cancer Prevention Study II; ERT, estrogen replacement therapy; IGF, insulin-like growth factor.

  • Received November 30, 2001.
  • Revision received May 3, 2002.
  • Accepted May 13, 2002.

References

  1. ↵
    Risch H. A. Hormonal etiology of epithelial ovarian cancer, with a hypothesis considering the role of androgens and progesterone. J. Natl. Cancer Inst., 90: 1774-1786, 1998.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    Rodriguez C., Patel A. V., Calle E. E., Jacobs E. J., Thun M. J. Estrogen replacement therapy and ovarian cancer mortality in a large prospective study of US women. J. Am. Med. Assoc., 285: 1460-1465, 2001.
    OpenUrlCrossRefPubMed
  3. ↵
    Cramer D. W., Welch W. R. Determinants of ovarian cancer risk. II. Inferences regarding pathogenesis. J. Natl. Cancer Inst., 71: 717-721, 1983.
  4. ↵
    Ballard-Barbash R., Swanson C. A. Body weight: estimation of risk for breast and endometrial cancers. Am. J. Clin. Nutr., 63: 437S-41S, 1996.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    Casagrande J. T., Pike M. C., Ross R. K., Louie E. W., Roy S., Henderson B. E. “Incessant ovulation” and ovarian cancer. Lancet, ii: 170-172, 1979.
    OpenUrl
  6. ↵
    Hildreth N. G., Kelsey J. L., LiVolsi V. A., Fisher D. B., Holford T. R., Mostow E. D., Schwartz P. E., White C. An epidemiologic study of epithelial carcinoma of the ovary. Am. J. Epidemiol., 114: 398-405, 1981.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    Trichopoulos D., Papapostolou M., Polychronopoulou A. Coffee and ovarian cancer. Int. J. Cancer, 28: 691-693, 1981.
    OpenUrlPubMed
  8. ↵
    Szamborski J., Czerwinski W., Gadomska H., Kowalski M., Wacker-Pujdak B. Case control study of high-risk factors in ovarian carcinomas. Gynecol. Oncol., 11: 8-16, 1981.
    OpenUrlPubMed
  9. ↵
    Byers T., Marshall J., Graham S., Mettlin C. A case-control study of dietary and nondietary factors in ovarian cancer. J. Natl. Cancer Inst., 71: 681-686, 1983.
  10. ↵
    Hartge P., Schiffman M. H., Hoover R., McGowan L., Lesher L., Norris H. J. A case-control study of epithelial ovarian cancer. Am. J. Obstet. Gynecol., 161: 10-16, 1989.
    OpenUrlPubMed
  11. ↵
    Tomao S., Taggi F., Sberna R. C. S., Villani C. Ovarian cancer and dietary habits. Eur. J. Gynaecol. Oncol., 13: 91-95, 1992.
    OpenUrlPubMed
  12. ↵
    Polychronopoulou A., Tzonou A., Hsieh C., Kaprinis G., Rebelakos A., Toupadaki N., Trichopoulos D. Reproductive variables, tobacco, ethanol, coffee and somatometry as risk factors for ovarian cancer. Int. J. Cancer, 55: 402-407, 1993.
    OpenUrlPubMed
  13. ↵
    Parazzini F., Moroni S., La Vecchia C., Negri E., dal Pino D., Bolis G. Ovarian cancer risk and history of selected medical conditions linked with female hormones. Eur. J. Cancer, 33: 1634-1637, 1997.
  14. ↵
    Hirose K., Tajima K., Hamajima N., Kuroishi T., Kuzuya K., Miura S., Tokudome S. Comparative case-referent study on risk factors among hormone-related female cancers in Japan. Jpn. J. Cancer Res., 90: 255-261, 1999.
    OpenUrlPubMed
  15. ↵
    Farrow D. C., Weiss N. S., Lyon J. L., Daling J. R. Association of obesity and ovarian cancer in a case-control study. Am. J. Epidemiol., 129: 1300-1304, 1989.
    OpenUrlFREE Full Text
  16. ↵
    Shu X. O., Gao Y. T., Yuan J. M., Ziegler R. G., Brinton L. A. Dietary factors and epithelial ovarian cancer. Br. J. Cancer, 59: 92-96, 1989.
    OpenUrlPubMed
  17. ↵
    Purdie D., Green A., Bain C. J., Siskind V., Ward B., Hacker N., Quinn M., Wright G., Russell P., Sush B. Reproductive and other factors and risk of epithelial ovarian cancer: an Australian case-control study. Int. J. Cancer, 62: 678-684, 1995.
    OpenUrlCrossRefPubMed
  18. ↵
    Mori M., Nishida T., Sugiyama T., Komai K., Yakushiji M., Fukuda K., Tanaka T., Yokoyama M., Sugimori H. Anthropometric and other risk factors for ovarian cancer in a case-control study. Jpn. J. Cancer Res., 89: 246-253, 1998.
    OpenUrlPubMed
  19. ↵
    Annegers J. F., Strom H., Decker D. G., Dockerty M. B., O’Fallon. W. M. Ovarian cancer incidence and case-control study. Cancer (Phila.), 43: 723-729, 1979.
    OpenUrlCrossRefPubMed
  20. ↵
    Cramer D. W., Welch W. R., Hutchinson G. B., Willet W., Sculy R. E. Dietary animal fat in relation to ovarian cancer risk. Obstet. Gynecol., 63: 833-838, 1984.
    OpenUrlPubMed
  21. ↵
    Slattery M. L., Schuman K. L., West D. W., French T. K., Robison L. M. Nutrient intake and ovarian cancer. Am. J. Epidemiol., 130: 497-502, 1989.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    Bertone E. R., Willet W. C., Rosener B. A., Hunter D. J., Fuchs C. S., Speizer F. E., Colditz G. A., Hankinson S. E. Prospective study of recreational physical activity and ovarian cancer. J. Natl. Cancer Inst., 93: 942-948, 2001.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    Lew E. A., Garfinkel L. Variations in mortality by weight among 750,000 men and women. J. Chronic Dis., 32: 563-576, 1979.
    OpenUrlCrossRefPubMed
  24. ↵
    Moller H., Mellemgaard A., Lindvig K., Olsen J. H. Obesity and cancer risk: a Danish record-linkage study. Eur. J. Cancer, 30A: 344-350, 1994.
  25. ↵
    Mink P. J., Folsom A. R., Sellers T. A., Kushi L. H. Physical Activity, waist-to-hip ratio, and other risk factors for ovarian cancer: a follow-up study of older women. Epidemiology, 7: 38-45, 1995.
  26. ↵
    Lacey J. V., Mink P. J., Lubin J. H., Sherman M. E., Troisi R., Hartge P., Schatzkin A., Schairer C. Menopausal hormone replacement therapy and risk of ovarian cancer. J. Am. Med. Assoc., 288: 334-341, 2002.
    OpenUrlCrossRefPubMed
  27. ↵
    Cauley J. A., Gutai J. P., Kuller L. H., LeDonne D., Powell J. G. The epidemiology of serum sex hormones in postmenopausal women. Am. J. Epidemiol., 129: 1120-1131, 1989.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    Hankinson E. E., Willet W. C., Manson J-A. E., Hunter D. J., Colditz G. A., Stampfer M. J., Longcope C., Speizer F. E. Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. J. Natl. Cancer Inst., 87: 1297-1302, 1995.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    Thomas H. V., Key T. J., Allen D. S., Moore J. W., Dowsett M., Fentiman I. S., Wang D. Y. Re: Reversal of relation between body mass and endogenous estrogen concentrations with menopausal status. J. Natl. Cancer Inst., 89: 396-398, 1997.
    OpenUrlFREE Full Text
  30. ↵
    Schairer C., Lubin J., Troisi R., Sturgeon S., Brinton L., Hoover R. Menopausal estrogen and estrogen-progestin replacement therapy and breast cancer risk. J. Am. Med. Assoc., 283: 485-491, 2000.
    OpenUrlCrossRefPubMed
  31. ↵
    The Cancer and Steroid Hormone Study of the Centers for Disease Controlthe National Institute of Child Health and Human Development. The reduction in risk of ovarian cancer associated with oral-contraceptive use. N. Engl. J. Med., 316: 650-655, 1987.
    OpenUrlPubMed
  32. ↵
    Tzonou A., Day N. E., Trichopoulos D., Walker A., Saliaraki M., Papapostolou M., Polychronopoulou A. The epidemiology of ovarian cancer in Greece: a case-control study. Eur. J. Cancer Clin. Oncol., 20: 1045-1052, 1984.
    OpenUrlCrossRefPubMed
  33. ↵
    Stellman S. D., Garfinkel L. Smoking habits and tar levels in a new American Cancer Society prospective study of 1.2 million men and women. J. Natl. Cancer Inst., 76: 1057-1063, 1986.
  34. ↵
    Calle E. E., Terrel D. D. Utility of the National Death Index for ascertainment of mortality among Cancer Prevention Study II participants. Am. J. Epidemiol., 137: 235-241, 1993.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    World Health Organization. . International classification of diseases. Manual of the statistical classification of diseases, injuries, and causes of death. Ninth revision, World Health Organization Geneva 1979.
  36. ↵
    WHO Expert Committee on Physical Status. . Physical Status: The Use and Interpretation of Anthropometry, World Health Organization Geneva 1995.
  37. ↵
    Rothman K. J., Greenland S. . Modern Epidemiology, 313-317, Lippincott-Raven Philadelphia 1998.
  38. ↵
    Kleinbaum G. C., Kupper L. L., Mogernstern H. . Epidemiologic Research. Principles and Quantitative Methods, 464-468, Lifetime Learning Publications Belmont, CA 1982.
  39. ↵
    Syed V., Ulinski G., Mok S. C., Yiu G. K., Ho S-M. Expression of gonadotropin receptor and growth responses to key reproductive hormones in normal and malignant human ovarian surface epithelial cells. Cancer Res., 61: 6768-6776, 2001.
    OpenUrlAbstract/FREE Full Text
  40. ↵
    Collaborative Group on Hormonal Factors in Breast Cancer. Breast cancer and hormone replacement therapy: collaborative reanalysis of data from 51 epidemiological studies of 52,705 women with breast cancer and 108,411 women without breast cancer. Lancet, 350: 1047-1059, 1997.
    OpenUrlCrossRefPubMed
  41. ↵
    Khaw K. T., Barrett-Connor E. Fasting plasma glucose levels and endogenous androgens in non-diabetic postmenopausal women. Clin. Sci., 80: 199-203, 1991.
    OpenUrlPubMed
  42. ↵
    Helzlsouer K. J., Alberg A. J., Gordon G. B., Longcope C., Bush T. L., Hoffman S. C., Comstock G. W. Serum gonadotropins and steroid hormones and the development of ovarian cancer. J. Am. Med. Assoc., 274: 1926-1930, 1995.
    OpenUrlCrossRefPubMed
  43. ↵
    Bjorntorp P. Metabolic implications of body fat distribution. Diabetes Care, 14: 1132-1143, 1991.
    OpenUrlAbstract/FREE Full Text
  44. ↵
    Hankinson S. E., Willet W. C., Colditz G. A., Hunter D. J., Michaud D. S., Deroo B. Circulating concentrations of insulin-like growth factor-I and risk of breast cancer. Lancet, 351: 1393-1396, 1998.
    OpenUrlCrossRefPubMed
  45. ↵
    Chan J. M., Stampfer M. J., Giovannucci E., Gann P. H., Ma J., Wilkinson P., Hennekens C. H., Pollak M. Plasma insulin-like growth factor-I and prostate cancer risk: a prospective study. Science (Wash. DC), 279: 563-566, 1998.
    OpenUrlAbstract/FREE Full Text
  46. ↵
    Levine W., Dyer A. R., Shekelle R. B., Schoenberger J. A., Stamler J. Post-load plasma glucose and cancer mortality in middle aged men and women. 12 year follow-up findings of the Chicago Heart Association Detection Project Industry. Am. J. Epidemiol., 131: 254-262, 1990.
    OpenUrlAbstract/FREE Full Text
  47. ↵
    Adler A. I., Weiss N. S., Kamb M. L., Lyon J. L. Is diabetes mellitus a risk factor for ovarian cancer? A case-control study in Utah and Washington (United States). Cancer Causes Control, 7: 475-478, 1996.
    OpenUrlCrossRefPubMed
  48. ↵
    Wideroff L., Gridley G., Mellemkjaer L., Chow W. H., Linet M., Keehn S. Cancer incidence in a population-based cohort of patients hospitalized with diabetes mellitus in Denmark. J. Natl. Cancer Inst., 89: 1360-1365, 1997.
    OpenUrlAbstract/FREE Full Text
  49. ↵
    Smith W. J., Underwood L. E., Clemmons D. R. Effects of caloric restriction on insulin-like growth factor-1 (IGF-1) and IGF-binding proteins in children and adults. J. Clin. Endrocrinol. Metab., 80: 443-449, 1995.
    OpenUrlCrossRefPubMed
  50. ↵
    Keys A., Fidanza F., Karvonen M. J. Indices of relative weight and obesity. J. Chronic Dis., 25: 329-343, 1972.
    OpenUrlCrossRefPubMed
  51. ↵
    Stevens J., Keil J. E., Waid L. R., Gazes P. C. Accuracy of current, 4-year, and 28-year self-reported body weight in an elderly population. Am. J. Epidemiol., 132: 1156-1163, 1990.
    OpenUrlAbstract/FREE Full Text
  52. ↵
    Ries L. A. G. Eisner M. P. Kosary C. L. Hankey B. F. Miller B. A. Clegg L. Edwards B. K. eds. . SEER Cancer Statistics Review, 1973–1998, National Cancer Institute Bethesda, MD 2001.
  53. ↵
    Schildkraut J. M., Halabi S., Bastos E., Marchbanks P. A., McDonald J. A., Berchuck A. Prognostic factors in early-onset epithelial ovarian cancer: a population-based study. Obstet. Gynecol., 95: 119-127, 2000.
    OpenUrlCrossRefPubMed
  54. ↵
    Must A., Spadano J., Coakley E. H., Field A. E., Colditz G., Dietz W. H. The disease burden associated with overweight and obesity. J. Am. Med. Assoc., 282: 1523-1529, 1999.
    OpenUrlCrossRefPubMed
  55. ↵
    Mokdad A. H., Serdula M. K., Dietz W. H., Bowman B. A., Marks J. S., Koplan J. P. The spread of the obesity epidemic in the United States, 1991–1998. J. Am. Med. Assoc., 282: 1519-1522, 1999.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top
September 2002
Volume 11, Issue 9
  • Table of Contents

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Body Mass Index, Height, and the Risk of Ovarian Cancer Mortality in a Prospective Cohort of Postmenopausal Women
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Body Mass Index, Height, and the Risk of Ovarian Cancer Mortality in a Prospective Cohort of Postmenopausal Women
Carmen Rodriguez, Eugenia E. Calle, Dorna Fakhrabadi-Shokoohi, Eric J. Jacobs and Michael J. Thun
Cancer Epidemiol Biomarkers Prev September 1 2002 (11) (9) 822-828;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Body Mass Index, Height, and the Risk of Ovarian Cancer Mortality in a Prospective Cohort of Postmenopausal Women
Carmen Rodriguez, Eugenia E. Calle, Dorna Fakhrabadi-Shokoohi, Eric J. Jacobs and Michael J. Thun
Cancer Epidemiol Biomarkers Prev September 1 2002 (11) (9) 822-828;
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Early-Life Risk Factors for Breast Cancer
  • Sugary Drink Consumption and Colorectal Cancer Risk
  • HPV Testing in Self-samples and Urine
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement