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. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Int J Cancer. 2009 May 1;124(9):2139–2147. doi: 10.1002/ijc.24059

Physical Activity, Sedentary Behavior, and Endometrial Cancer Risk in the NIH-AARP Diet and Health Study

Gretchen L Gierach 1,3, Shih-Chen Chang 4, Louise A Brinton 1, James V Lacey Jr 1, Albert R Hollenbeck 5, Arthur Schatzkin 2, Michael F Leitzmann 2
PMCID: PMC2845165  NIHMSID: NIHMS99331  PMID: 19123463

Abstract

Consistent with a strong hormonal etiology, endometrial cancer is thought to be influenced by both obesity and physical activity. While obesity has been consistently related to risk, associations with physical activity have been inconclusive. We examined relationships of activity patterns with endometrial cancer incidence in the NIH-AARP Diet and Health Study cohort, which included 109,621 women, ages 50–71, without cancer history, who in 1995–1996 completed a mailed baseline questionnaire capturing daily routine and vigorous (defined as any period of ≥ 20 minutes of activity at work or home causing increases in breathing, heart rate, or sweating) physical activity. A second questionnaire, completed by 70,351 women, in 1996–1997 collected additional physical activity information. State cancer registry linkage identified 1,052 primary incident endometrial cancers from baseline through December 31, 2003. In multivariate proportional hazards models, vigorous activity was inversely associated with endometrial cancer in a dose-response manner (p for trend=0.02) (relative risk (RR) for ≥ 5 times/week vs. never/rarely=0.77, 95% confidence interval (CI): 0.63, 0.95); this association was more pronounced among overweight and obese women (body mass index ≥ 25; RR=0.61, 95% CI: 0.47, 0.79) than among lean women (body mass index <25; RR=0.76, 95% CI: 0.52, 1.10; p for interaction=0.12). While we observed no associations with light/moderate, daily routine or occupational physical activities, risk did increase with number of hours of daily sitting (p for trend=0.02). Associations with vigorous activities, which may interact with body mass index, suggest directions for future research to clarify underlying biologic mechanisms, including those relating to hormonal alterations.

Keywords: Endometrial Neoplasms/epidemiology, Exercise/physiology, Recreation/physiology, Health Behavior, Prospective Studies

Introduction

Endometrial cancer is the most common gynecologic malignancy and the fourth most common cancer among women in the US,1 and excess weight is estimated to account for over half of endometrial cancers.2 Whereas body mass index (BMI) is an established risk factor,3 evidence for an independent role of physical activity in reducing endometrial cancer risk is inconclusive.4 Clarifying the relationship between physical activity, a potentially modifiable risk factor, and endometrial cancer could have important etiologic and public health implications.

To date, ten cohort studies514 and twelve case-control studies1526 have examined the association between physical activity and endometrial cancer. Of these, only two cohort studies6, 14 have examined whether sedentary behaviors are associated with endometrial cancer and results were suggestive of an elevated risk with longer durations of TV watching or sitting. Two recent systematic reviews concluded that results suggest an inverse association between physical activity and endometrial cancer but are limited by inconsistent dose-response relationships and may depend on activity type and intensity.27, 28 In addition, because BMI is associated with both physical activity and endometrial cancer, special attention to BMI as a confounding factor is required.27 Additional evidence from prospective cohort studies is needed before specific types and time periods of physical activity might be recommended as a strategy to reduce risk.27, 28 We therefore investigated physical activity and endometrial cancer risk within the large prospective NIH-AARP Diet and Health Study cohort. We considered various types of physical activity during different time periods, evaluated sedentary behaviors, and paid particular attention to potential confounding by BMI.

Materials and Methods

Study Population

The NIH-AARP Diet and Health Study design and methodology have been described in detail.29 The study was initiated in 1995–1996 when a questionnaire was mailed to 3.5 million members of the AARP (formerly known as the American Association of Retired Persons), ages 50–71 years, who resided in one of eight US states (CA, FL, PA, NJ, NC, LA, GA, and MI). This baseline questionnaire captured diet history, demographic characteristics, current weight and height, smoking status, physical activity, medical and reproductive history, menopausal status, menopausal hormone therapy (HT), and personal and familial history of cancer. A total of 617,119 (17.6%) questionnaires were returned, of which 567,169 were satisfactorily completed; of these, 179 duplicate questionnaires were excluded. In 1996–1997, a second questionnaire was sent to the baseline questionnaire respondents to collect additional information on physical activity, menopausal HT use, medical history, and history of cancer. A total of 337,074 men and women completed this questionnaire.

After excluding individuals who died (n=261) or moved out of the cancer registry ascertainment area (n=321) before their baseline questionnaire was received and scanned, proxy respondents to the baseline questionnaire (n=15,760), six individuals who withdrew from the study, and 325,174 men, the baseline study population included 225,468 potentially eligible women. The study was approved by the Special Studies Institutional Review Board of the U.S. National Cancer Institute.

Assessment of Physical Activity

The baseline questionnaire captured several measures of physical activity. Participants were asked to select a response that best described their current daily routine activity, excluding exercise or sports: sit without walking very much; sit but walk fair amount; stand or walk a lot without carrying or lifting things; lift or carry light loads or climb stairs/hills often; or do heavy work or carry heavy loads. Participants were asked to indicate their frequency of vigorous physical activity during a typical month in the past 12 months: never, rarely, 1–3 times per month, 1–2 times per week, 3–4 times per week, or ≥ 5 times per week. Vigorous activity was defined as physical activity at work or home including exercise, sports, and carrying heavy loads that lasted ≥ 20 minutes and caused increases in breathing, heart rate, or sweating. Using the same response categories, participants were also asked to recall their frequency of participation in physical activities or sports during a typical month around the ages of 15–18 years old. We collapsed the never and rarely response categories for analysis.

The second questionnaire asked about several domains of physical activity: occupational, recreational and household, and physical inactivity. History of occupational physical activity was assessed by asking participants if they ever had a job requiring physically demanding work. Those responding affirmatively were asked to report the number of (none, 1–2, 3–5, or ≥ 6 jobs) and total number of years spent (none or <1 year, 1–2, 3–5, 6–9, or ≥ 10 years) in these jobs. The second questionnaire also assessed whether participants ever had a job in which they walked or biked to work for most days of the week and if so, the total number of years they did so (none, <1 year, 1–2, 3–5, 6–9, or ≥ 10 years). We combined the none and <1 year response categories for analysis.

Participants were instructed not to include occupational physical activity when reporting how often they participated in “light” and “moderate and vigorous” recreational and household activities. They could choose from the following options: never, rarely, weekly but <1 hour per week, 1–3 hours per week, 4–7 hours per week, and >7 hours per week. Participants were asked to read lists of examples of “light” and “moderate and vigorous” recreational and household activities and to select the option that best described how often they participated during various ages and time periods: 15–18, 19–29, and 35–39 years old, and in the past 10 years. The never and rarely response categories were collapsed for analysis. Since these physical activity questions captured frequency and dose, we calculated hours exercised per week and metabolic equivalent (MET) hours per week using the Compendium of Physical Activities as a guide.30 First, midpoint values were used for each category of reported frequency/dose of participation in weekly activity: never/rarely was assigned a value of 0 hours; <1 hour per week was assigned a value of 0.5 hours; 1–3 hours per week was assigned a value of 2 hours; 4–7 hours per week was assigned a value of 5.5 hours; and >7 hours per week was assigned a value of 8 hours. MET values were then assigned to each level of activity: light activities, 3.0 MET; and moderate/vigorous activities, 7.0 MET. These MET values were multiplied by the values of activity hours per week and summed across the activity levels to determine MET-hours per week for each of the various ages and time periods.

Information on physical inactivity was based on two questions. Participants were asked about time spent watching TV or videos during a typical 24-hour period over the past 12 months. Time spent watching TV or videos was categorized as none, <1 hour, 1–2, 3–4, 5–6, 7–8, and ≥ 9 hours. In a separate question, participants were also asked to indicate the number of hours spent sitting during a typical 24-hour period over the past 12 months: <3, 3–4, 5–6, 7–8, and ≥ 9 hours. Both measures of inactivity were collapsed as <3, 3–4, 5–6, and ≥ 7 hours per day.

Cohort Follow-up

Cohort members were followed annually for address changes and vital status. Address changes were identified by matching the cohort database to the US Postal Service’s National Change of Address database. Vital status was updated through linkage to the US Social Security Administration Death Master File, identifying cohort members who are presumed deceased. Results were verified through a follow-up search of the National Death Index Plus, a central computerized index of death record information compiled annually from state vital statistics offices for research purposes.

Ascertainment of Endometrial Cancer

Incident endometrial cancers were initially identified through probabilistic linkage to eight state cancer registries using first and last name, address, sex, date of birth, and Social Security Number. The cancer registry ascertainment area was recently expanded to include three additional states (TX, AZ, and NV) to capture cancer occurring among participants who moved to those states during follow-up. Histology was defined using International Classification of Diseases for Oncology codes, 3rd edition.31 A previous validation study in this cohort estimated that registry linkage validly identified approximately 90% of all incident cancers.32

Analytic Sample

In our analysis of baseline physical activity data, we excluded 23,911 women who reported a personal cancer history other than non-melanoma skin cancer, 82,132 who reported a prior hysterectomy, and 2,934 women with unknown hysterectomy status. We also excluded women who reported at baseline that their menstrual periods stopped due to surgery (n=1,829) or because of radiation or chemotherapy (n=117), 76 who developed non-epithelial endometrial cancer during follow-up, 8 with no follow-up, 421 (including 4 cases) who were missing baseline information on both daily routine and vigorous activity, and women with missing (n=3,530, including 31 cases) or extreme (defined as > two interquartile ranges from the mean; n=889, including 33 cases) values for baseline BMI (weight in kilograms divided by the square of height in meters). Thus, 109,621 women were included in the baseline physical activity analysis. From baseline through December 31, 2003, 1,052 women developed endometrial cancer, the majority of which were adenocarcinomas (n=978).

To use the physical activity and inactivity data collected in the second questionnaire, we created an analytic subsample restricted to women who responded to the second questionnaire. Of the 109,621 women included in the baseline analysis, 72,046 women (including 701 endometrial cancer cases) responded to the second questionnaire. We further excluded women who died or moved out of the cancer registry ascertainment area before their second questionnaire was received and scanned (n=338), proxy respondents to the second questionnaire (n=565, including 7 prevalent endometrial cancer cases), women with a personal history of cancer at the time of the second questionnaire (n=633, including 44 prevalent endometrial cancer cases), those missing recreational/household activity and physical inactivity information on the second questionnaire (n=82 non-cases), women with extreme values for BMI (n=16 non-cases with BMI > two interquartile ranges from the mean BMI of those responding to the second questionnaire), women with unknown history of HT use at the time of the second questionnaire (n=58 non-cases), and 3 women with no follow-up, resulting in an analytic subsample of 70,351 women completing both study questionnaires. Of these, 650 women developed endometrial cancer from the time of the second questionnaire through December 31, 2003; adenocarcinoma accounted for 95% of these cancers.

Statistical Analysis

Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals (CI) for endometrial cancer associated with physical activity; age was the time scale33 and ties were handled by complete enumeration.34 Follow-up began at the age at which the baseline questionnaire (for the main analyses) or the second questionnaire (for the analytic subsample) was received and scanned and continued through the earliest of the following dates: participant diagnosed with endometrial cancer, moved out of her registry catchment area, died from any cause, or December 31, 2003. To test the proportional hazards assumption, we generated time-dependent covariates by including interactions of physical activity measures with the natural log of age (the time metric); probability values for all time-dependent covariates were >0.05, consistent with proportional hazards.

For the main analyses, we examined the combined effect of baseline vigorous activity and baseline daily routine activity in relation to endometrial cancer by creating a single six-level variable based on the cross-tabulation of vigorous activity (never/rarely, 1 time per month to 2 times per week, or ≥ 3 times per week) and daily routine activity (sit much of day with some walking vs. do more than sit most of day). Multivariate models were used to control for age at entry, race/ethnicity, smoking status, parity, ever use of oral contraceptives, menopausal status (premenopausal, natural menopause at <45, 45–49, 50–54, or ≥ 55 years of age, or unknown age at menopause), and ever use of HT. Since BMI is positively associated with endometrial cancer risk and inversely associated with physical activity, separate multivariate models additionally adjusted for BMI.

In the multivariate models restricted to the analytic subsample of women who completed both questionnaires, we replaced ever use of HT with HT formulation (never used, estrogen only use, estrogen-progestin only use, HT use of other/unknown formulation). In analyses of frequency of light physical activity during a specific time period, we adjusted for frequency of moderate/vigorous physical activity during that same time period, and vice versa. We used a likelihood ratio test, comparing models with and without the interaction terms, to separately examine effect modification by HT formulation and BMI.

Tests for linear trends across the physical activity exposure categories were calculated by treating these categorical variables as ordinal variables. In subsequent models, we adjusted individually for calendar time and several additional factors, including education, age at menarche, self-reported diabetes, self-rated health quality, and alcohol intake; results were essentially the same and are not shown here. In addition, we assessed the internal consistency between physical activity items reported within and between questionnaires by examining pairwise Spearman’s rank correlations.

Probability values of <0.05 were considered statistically significant. All tests of statistical significance were two-tailed. Analyses were performed using SAS software release 9.1.3 (SAS Institute Inc., Cary, NC).

Results

Among the 109,621 mostly white, postmenopausal women in this report, current daily routine physical activity (excluding exercise or sports) was most frequently described as standing or walking a lot without carrying or lifting things (38.8%), followed by sitting during much of the day but walking a fair amount (33.6%). Including exercise and sports, 21.8% of women reported never or rarely engaging in vigorous activity in the past 12 months, while 14.4%, 21.3%, and 42.5% reported engaging in vigorous activity 1–3 times per month, 1–2 times per week, and ≥ 3 times per week, respectively. More than half (55.7%) of the women reported participating in physical activities or sports ≥ 3 times per week between the ages of 15–18 years old.

At baseline, women with the most active current daily routine or most frequent participation in vigorous activity in the past 12 months were leaner than their less-active counterparts (Tables 1a and 1b). Compared with the least active women, women with the most active current daily routine were less likely to be white, to have attended post-secondary education, and to have ever used exogenous hormones, and were more likely to be current smokers. In contrast, women who frequently participated in vigorous activity were more likely to have attended post-secondary education and to have ever used hormone therapy, and were less likely to be current smokers as compared with those who never/rarely engaged in vigorous activity.

Table 1a.

Select characteristics of women according to daily routine physical activity level at baseline, NIH-AARP Diet and Health Study

Current daily routine activity at work or home §
Sitting (n=9,293) Sitting and walking (n=36,032) Walking and standing (n=41,606) Climbing stairs or carrying heavy loads (n=18,600) Heavy work or carrying heavy loads (n=1,737)
Characteristic n %* n % n % n % n %
Age at baseline questionnaire (years)
 <55 2,317 24.9% 6,860 19.0% 5,535 13.3% 2,319 12.5% 317 18.2%
 55–59 2,675 28.8% 9,459 26.3% 8,879 21.3% 3,784 20.3% 488 28.1%
 60–64 2,286 24.6% 9,459 26.3% 11,628 27.9% 5,250 28.2% 467 26.9%
 65–69 1,844 19.8% 9,274 25.7% 14,035 33.7% 6,494 34.9% 424 24.4%
 70+ 171 1.8% 980 2.7% 1,529 3.7% 753 4.0% 41 2.4%
Body mass index at baseline (kg/m2)
 <25 3,122 33.6% 15,289 42.4% 21,056 50.6% 9,861 53.0% 829 47.7%
 25–29 2,717 29.2% 11,474 31.8% 13,350 32.1% 5,834 31.4% 604 34.8%
 30+ 3,454 37.2% 9,269 25.7% 7,200 17.3% 2,905 15.6% 304 17.5%
Race/ethnicity
 Caucasian/Non-Hispanic white 8,515 91.6% 32,838 91.1% 37,761 90.8% 17,239 92.7% 1,540 88.7%
 Other/Unknown 778 8.4% 3,194 8.9% 3,845 9.2% 1,361 7.3% 197 11.3%
Education
 <High school/high school grad 2,501 27.4% 9,894 28.1% 12,598 31.1% 5,701 31.4% 703 42.6%
 Post-high school+ 6,614 72.6% 25,293 71.9% 27,928 68.9% 12,472 68.6% 948 57.4%
Smoking
 Never 3,544 39.2% 15,231 43.4% 18,696 46.2% 8,675 48.0% 722 43.4%
 Former 4,063 45.0% 14,382 41.0% 16,214 40.1% 6,666 36.8% 573 34.5%
 Current 1,425 15.8% 5,475 15.6% 5,569 13.8% 2,750 15.2% 368 22.1%
Age at menarche (years)
 <13 4,727 51.0% 17,603 49.0% 19,155 46.2% 8,634 46.5% 771 44.6%
 13–14 3,790 40.9% 15,164 42.2% 18,244 44.0% 8,017 43.2% 724 41.9%
 15+ 749 8.1% 3,166 8.8% 4,101 9.9% 1,897 10.2% 234 13.5%
Parity
 Nulliparous 1,702 18.6% 6,538 18.4% 6,521 15.9% 2,863 15.5% 282 16.5%
 One 1,192 13.0% 4,132 11.6% 4,277 10.4% 1,831 9.9% 190 11.1%
 Two 2,479 27.0% 9,746 27.4% 11,097 27.0% 4,624 25.1% 394 23.1%
 Three or more 3,802 41.4% 15,152 42.6% 19,215 46.7% 9,104 49.4% 842 49.3%
Ever used oral contraceptives
 No 4,858 52.5% 19,846 55.4% 25,372 61.4% 11,549 62.5% 1,072 62.1%
 Yes 4,388 47.5% 15,968 44.6% 15,977 38.6% 6,943 37.5% 655 37.9%
Ever used HT at baseline
 No 5,446 58.6% 21,027 58.4% 24,569 59.1% 11,431 61.5% 1,179 67.9%
 Yes 3,847 41.4% 15,005 41.6% 17,037 40.9% 7,169 38.5% 558 32.1%
Age at menopause (years)
 Premenopausal 960 10.3% 2,764 7.7% 2,171 5.2% 891 4.8% 99 5.7%
 <45 952 10.2% 3,698 10.3% 4,399 10.6% 1,993 10.7% 216 12.4%
 45–49 2,305 24.8% 9,011 25.0% 10,705 25.7% 4,741 25.5% 450 25.9%
 50–54 3,983 42.9% 15,794 43.8% 18,585 44.7% 8,329 44.8% 756 43.5%
 55+ 756 8.1% 3,426 9.5% 4,268 10.3% 1,994 10.7% 145 8.3%
 Postmenopausal, age unknown 337 3.6% 1,339 3.7% 1,478 3.6% 652 3.5% 71 4.1%
Frequency of vigorous physical activity during typical month in past 12 months
 Never/Rarely 3,854 41.7% 8,944 25.0% 7,886 19.1% 2,322 12.6% 152 8.9%
 1–3 times/month 1,585 17.2% 6,087 17.0% 5,514 13.4% 2,156 11.7% 98 5.7%
 1–2 times/week 1,673 18.1% 7,848 21.9% 8,940 21.7% 4,030 21.8% 228 13.3%
 3–4 times/week 1,380 14.9% 8,238 23.0% 11,303 27.4% 5,783 31.3% 477 27.9%
 5+ times/week 745 8.1% 4,693 13.1% 7,644 18.5% 4,161 22.6% 757 44.2%
*

Missing values were excluded from percentage calculations

Defined as physical activity that lasted at least 20 mins and caused increases in breathing, heart rate, or sweating

HT, hormone therapy.

Table 1b.

Select characteristics of women according to frequency of vigorous physical activity level at baseline, NIH-AARP Diet and Health Study

Frequency of vigorous physical activity during typical month in past 12 months
Never/rarely (n=23,685) 1–3 times/month (n=15,724) 1–2 times/week (n=23,195) 3–4 times/week (n=27,785) 5+ times/week (n=18,462)
Characteristic n %* n % n % n % n %
Age at baseline questionnaire (years)
 <55 3,363 14.2% 3,093 19.7% 4,088 17.6% 4,265 15.4% 2,706 14.7%
 55–59 5,249 22.2% 4,134 26.3% 5,656 24.4% 6,299 22.7% 4,247 23.0%
 60–64 6,529 27.6% 4,175 26.6% 6,243 26.9% 7,652 27.5% 4,931 26.7%
 65–69 7,681 32.4% 3,920 24.9% 6,496 28.0% 8,650 31.1% 5,913 32.0%
 70+ 863 3.6% 402 2.6% 712 3.1% 919 3.3% 665 3.6%
Body mass index at baseline (kg/m2)
 <25 8,677 36.6% 6,277 39.9% 10,397 44.8% 14,560 52.4% 10,916 59.1%
 25–29 7,311 30.9% 5,195 33.0% 7,854 33.9% 8,816 31.7% 5,322 28.8%
 30+ 7,697 32.5% 4,252 27.0% 4,944 21.3% 4,409 15.9% 2,224 12.0%
Race/ethnicity
 Caucasian/Non-Hispanic white 21,244 89.7% 14,380 91.5% 21,305 91.9% 25,301 91.1% 16,958 91.9%
 Other/Unknown 2,441 10.3% 1,344 8.5% 1,890 8.1% 2,484 8.9% 1,504 8.1%
Education
 <High school/high school grad 9,347 40.5% 4,592 29.9% 6,323 27.9% 7,164 26.5% 4,701 26.2%
 Post-high school+ 13,727 59.5% 10,773 70.1% 16,304 72.1% 19,904 73.5% 13,274 73.8%
Smoking
 Never 9,669 42.0% 6,600 43.0% 10,345 45.8% 12,579 46.6% 8,376 46.8%
 Former 8,535 37.1% 5,887 38.4% 8,804 38.9% 11,437 42.4% 7,802 43.6%
 Current 4,823 20.9% 2,853 18.6% 3,460 15.3% 2,962 11.0% 1,727 9.6%
Age at menarche (years)
 <13 11,582 49.1% 7,606 48.5% 10,979 47.5% 12,861 46.4% 8,611 46.8%
 13–14 9,804 41.5% 6,644 42.3% 9,997 43.2% 12,165 43.9% 7,942 43.1%
 15+ 2,212 9.4% 1,443 9.2% 2,162 9.3% 2,676 9.7% 1,859 10.1%
Parity
 Nulliparous 4,056 17.3% 2,735 17.6% 3,861 16.8% 4,394 16.0% 3,129 17.2%
 One 2,663 11.4% 1,823 11.8% 2,562 11.2% 2,841 10.3% 1,914 10.5%
 Two 5,846 25.0% 3,983 25.7% 6,171 26.9% 7,619 27.7% 5,038 27.6%
 Three or more 10,826 46.3% 6,965 44.9% 10,347 45.1% 12,613 45.9% 8,148 44.7%
Ever used oral contraceptives
 No 14,755 62.7% 8,859 56.6% 13,255 57.5% 15,886 57.5% 11,004 60.0%
 Yes 8,773 37.3% 6,781 43.4% 9,816 42.5% 11,723 42.5% 7,351 40.0%
Ever used HT at baseline
 No 16,019 67.6% 9,239 58.8% 13,607 58.7% 15,331 55.2% 10,572 57.3%
 Yes 7,666 32.4% 6,485 41.2% 9,588 41.3% 12,454 44.8% 7,890 42.7%
Age at menopause (years)
 Premenopausal 1,263 5.3% 1,179 7.5% 1,643 7.1% 1,790 6.4% 1,074 5.8%
 <45 2,965 12.5% 1,622 10.3% 2,371 10.2% 2,638 9.5% 1,854 10.0%
 45–49 6,393 27.0% 4,036 25.7% 5,757 24.8% 6,810 24.5% 4,617 25.0%
 50–54 10,049 42.4% 6,923 44.0% 10,307 44.4% 12,560 45.2% 8,267 44.8%
 55+ 2,199 9.3% 1,412 9.0% 2,351 10.1% 2,928 10.5% 1,897 10.3%
 Postmenopausal, age unknown 816 3.4% 552 3.5% 766 3.3% 1,059 3.8% 753 4.1%
Current daily routine activity at work or home
 Sit during day without much walking 3,854 16.6% 1,585 10.3% 1,673 7.4% 1,380 5.1% 745 4.1%
 Sit much of day but walk fair amount 8,944 38.6% 6,087 39.4% 7,848 34.5% 8,238 30.3% 4,693 26.1%
 Stand/walk a lot during day without carrying/lifting things 7,886 34.1% 5,514 35.7% 8,940 39.4% 11,303 41.6% 7,644 42.5%
 Lift/carry light loads or climb stairs/hills often 2,322 10.0% 2,156 14.0% 4,030 17.7% 5,783 21.3% 4,161 23.1%
 Heavy work or carry heavy loads 152 0.7% 98 0.6% 228 1.0% 477 1.8% 757 4.2%
*

Missing values were excluded from percentage calculations

Defined as physical activity that lasted at least 20 minutes and caused increases in breathing, heart rate, or sweating

HT, hormone therapy

The 109,621 women accrued 766,170.7 person-years during an average follow-up of 3.80 years for cases (range: 1 day-8.03 years) and 7.02 years for non-cases (range: 1 day-8.18 years). The mean (SD) ages for entry and exit were 62.6 (5.2) and 66.4 (5.5) years for cases and 61.6 (5.5) and 68.6 (5.6) years for non-cases, respectively. The standardized incidence ratio for endometrial cancer in the full cohort compared with the US National Cancer Institute’s Surveillance, Epidemiology and End Results rate (ages 50–79 years) was 0.92 (95% CI: 0.87, 0.97), indicating that the rate in our cohort was slightly lower than that of the US population. As previously described in this cohort,35, 36 endometrial cancer risk was positively associated with BMI, later age at natural menopause, and use of menopausal HT; reduced endometrial cancer risk was associated with non-white race/ethnicity, smoking, later age at menarche, parity, and oral contraceptive use.

We examined the risk of endometrial cancer according to self-reported physical activity at baseline (Table 2). The risk of endometrial cancer decreased with increasing categories of daily routine activity, excluding exercise or sports (p for trend <0.0001), though this was no longer statistically significant in multivariate analysis further adjusted for BMI (p for trend=0.07). Increasing frequency of vigorous activity, including exercise and sports, was associated with reduced endometrial cancer risk in a dose-response manner before and after adjustment for BMI (p for trend=0.02), such that the relative risk (RR) of endometrial cancer for vigorous activity ≥ 5 times per week compared with never or rarely engaging in vigorous activity was 0.77 (95% CI: 0.63, 0.95). Frequency of participation in physical activities or sports during a typical month between the ages of 15–18 years old was not related to endometrial cancer in age-adjusted or multivariate analyses. Compared with women who reported both never/rarely engaging in vigorous activity and sitting for much of the day, women who participated in vigorous activity ≥ 3 times a week over the past 12 months were at a significant 25% reduced relative risk of endometrial cancer irrespective of their current daily routine activity level (data not shown).

Table 2.

Multivariate adjusted RR and 95% CI for the association between baseline physical activity and endometrial cancer incidence, NIH-AARP Diet and Health Study

Physical activity No. cancers Person-years RR* 95% CI p for trend RR § 95% CI p for trend RR 95% CI p for trend
Current daily routine activity at work or home
 Sit without much walking 104 63,656.5 1.00 <.0001 1.00 <.0001 1.00 0.07
 Sit but walk fair amount 389 250,987.7 0.90 (0.73, 1.12) 0.89 (0.72, 1.11) 1.09 (0.87, 1.35)
 Stand/walk a lot without carrying/lifting things 370 292,047.1 0.70 (0.56, 0.87) 0.68 (0.55, 0.85) 0.97 (0.77, 1.21)
 Lift/carry light loads or climb stairs/hills often 150 130,859.8 0.63 (0.49, 0.81) 0.62 (0.48, 0.79) 0.89 (0.69, 1.16)
 Heavy work or carry heavy loads 12 12,284.4 0.57 (0.31, 1.03) 0.59 (0.32, 1.06) 0.81 (0.45, 1.48)
Vigorous physical activity during typical month in past 12 months
 Never/Rarely 292 162,322.2 1.00 <.0001 1.00 <.0001 1.00 0.02
 1–3 times/month 149 110,490.4 0.78 (0.64, 0.95) 0.77 (0.63, 0.93) 0.84 (0.69, 1.02)
 1–2 times/week 221 162,617.4 0.77 (0.65, 0.92) 0.74 (0.62, 0.89) 0.88 (0.73, 1.04)
 3–4 times/week 244 195,345.4 0.70 (0.59, 0.83) 0.66 (0.56, 0.79) 0.85 (0.72, 1.02)
 5+ times/week 139 130,077.2 0.60 (0.49, 0.73) 0.56 (0.46, 0.68) 0.77 (0.63, 0.95)
Frequency of participation in physical activities or sports during typical month between ages 15–18 years old
 Never/Rarely 169 129,904.3 1.00 0.22 1.00 0.16 1.00 0.22
 1–3 times/month 81 71,174.2 0.89 (0.68, 1.16) 0.90 (0.69, 1.18) 0.91 (0.70, 1.19)
 1–2 times/week 197 137,879.0 1.10 (0.90, 1.35) 1.10 (0.90, 1.35) 1.13 (0.92, 1.39)
 3–4 times/week 258 184,622.4 1.06 (0.88, 1.29) 1.09 (0.89, 1.32) 1.10 (0.91, 1.34)
 5+ times/week 340 237,840.6 1.09 (0.90, 1.31) 1.10 (0.92, 1.32) 1.09 (0.91, 1.31)
*

Relative risks adjusted for age (continuous)

§

Relative risks adjusted for age (continuous), race (white vs. other/unknown), smoking status (never, former, current, or unknown), parity (nulliparous, one, two, ≥ three births, or unknown), ever use of oral contraceptives (no, yes, unknown), age at menopause (premenopausal, natural menopause at <45, 45–49, 50–54, or ≥ 55 years of age, or unknown age at menopause), and ever use of hormone therapy (no, yes)

Relative risks additionally adjusted for body mass index (continuous)

Not shown are unknown current daily routine activity (27 cancers and 16,335 person-years), vigorous activity (7 cancers and 5,318 person-years), and activity between the ages of 15–18 years (7 cancers and 4,750 person-years).

CI, confidence interval; RR, relative risk

The majority of women who responded to the second questionnaire never had a physically demanding job lasting more than a year (85.1%) and never had a job in which they walked or biked to work most days of the week for a period longer than one year (87.2%) (Table 3). We found no statistically significant associations between any of the measures of prior occupational physical activity and endometrial cancer. In addition, we detected no statistically significant relationships between endometrial cancer and MET-hours per week of recreational and household activities during ages 15–18, 19–29, or 35–39 years, or during the past 10 years after adjustment for BMI (data not shown). Although time spent watching TV/videos was not associated with endometrial cancer after adjustment for BMI, we observed a positive association between endometrial cancer risk and number of hours spent sitting during a typical 24 hour period in the past 12 months both before and after adjustment for BMI (RRs for 3–4, 5–6 and ≥ 7 vs. <3 hours/day=1.07, 1.31, and 1.26, respectively; p for trend=0.02) (Table 4). To assess whether the association with hours spent sitting was influenced by physical activity, we additionally adjusted for frequency of baseline vigorous activity and observed a slight attenuation in the risk estimates (RRs for sitting 3–4, 5–6 and ≥ 7 vs. <3 hours/day=1.07, 95% CI: 0.84, 1.36; 1.29, 95% CI: 1.02, 1.63; and 1.23, 95% CI: 0.96, 1.57, respectively; p for trend=0.04).

Table 3.

Multivariate adjusted RR and 95% CI for the association between history of occupational physical activity and endometrial cancer incidence among women who completed the second questionnaire, NIH-AARP Diet and Health Study

Occupational physical activity No. cancers Person- years RR* 95% CI p for trend RR § 95% CI p for trend RR 95% CI p for trend
Number of physically demanding jobs
 None 525 370,721.1 1.00 0.78 1.00 0.48 1.00 0.95
 1–2 90 63,460.0 1.03 (0.82, 1.29) 1.07 (0.85, 1.33) 0.99 (0.79, 1.23)
 3–5 18 13,188.5 1.01 (0.63, 1.62) 1.09 (0.68, 1.74) 0.98 (0.61, 1.57)
 6+ 10 6,898.9 1.07 (0.57, 2.00) 1.14 (0.61, 2.13) 1.03 (0.55, 1.93)
Number of years with a physically demanding job
 None or less than 1 year 548 387,002.0 1.00 0.59 1.00 0.36 1.00 0.90
 1–2 8 9,532.9 0.62 (0.31, 1.25) 0.66 (0.33, 1.32) 0.60 (0.30, 1.20)
 3–5 24 12,877.6 1.38 (0.92, 2.08) 1.47 (0.97, 2.21) 1.34 (0.89, 2.02)
 6–9 9 10,146.5 0.66 (0.34, 1.28) 0.69 (0.36, 1.33) 0.63 (0.33, 1.23)
 10+ 54 34,800.6 1.12 (0.84, 1.48) 1.17 (0.88, 1.54) 1.06 (0.80, 1.40)
Number of years walked or biked to work most days
 None or less than 1 year 560 395,140.9 1.00 0.89 1.00 0.62 1.00 0.68
 1–2 31 17,599.2 1.26 (0.88, 1.80) 1.27 (0.88, 1.82) 1.23 (0.86, 1.76)
 3–5 25 19,280.8 0.91 (0.61, 1.36) 0.88 (0.59, 1.32) 0.88 (0.59, 1.31)
 6–9 18 8,009.2 1.55 (0.97, 2.48) 1.50 (0.94, 2.40) 1.54 (0.96, 2.46)
 10+ 13 12,625.6 0.70 (0.40, 1.21) 0.65 (0.37, 1.12) 0.66 (0.38, 1.15)
*

Relative risks adjusted for age (continuous)

§

Relative risks adjusted for age (continuous), race (white vs. other/unknown), smoking status (never, former, current, or unknown), parity (nulliparous, one, two, ≥ three births, or unknown), ever use of oral contraceptives (no, yes, unknown), age at menopause (premenopausal, natural menopause at <45, 45–49, 50–54, or ≥ 55 years of age, or unknown age at menopause), and hormone therapy formulation (never used, ET use, EPT use, or unknown HT use)

Relative risks additionally adjusted for body mass index (continuous)

Not shown are unknown number of physically demanding jobs (7 cancers and 3,084 person-years), number of years with a physically demanding job (7 cancers and 2,993 person-years), and number of years walked or biked to work (3 cancers and 4,697 person-years).

CI, confidence interval; RR, relative risk

Table 4.

Multivariate adjusted RR and 95% CI for the association between sedentary behaviors and endometrial cancer incidence among women who completed the second questionnaire, NIH-AARP Diet and Health Study

Sedentary Behavior No. cancers Person- years RR* 95% CI p for trend RR§ 95% CI p for trend RR 95% CI p for trend
Hours spent watching TV/videos during typical 24 hour period in past 12 months
 <3 198 167,821.7 1.00 0.002 1.00 0.0003 1.00 0.26
 3–4 286 192,076.6 1.20 (1.00, 1.44) 1.24 (1.03, 1.49) 1.11 (0.92, 1.33)
 5–6 117 70,739.4 1.30 (1.03, 1.64) 1.36 (1.08, 1.72) 1.08 (0.86, 1.37)
 7+ 48 24,935.6 1.53 (1.12, 2.10) 1.66 (1.20, 2.28) 1.21 (0.87, 1.67)
Hours spent sitting during typical 24 hour period in past 12 months
 <3 111 98,017.6 1.00 <.0001 1.00 <.0001 1.00 0.02
 3–4 171 130,998.9 1.14 (0.90, 1.45) 1.15 (0.90, 1.46) 1.07 (0.85, 1.37)
 5–6 203 123,374.0 1.48 (1.17, 1.86) 1.48 (1.18, 1.87) 1.31 (1.04, 1.65)
 7+ 164 102,884.6 1.54 (1.21, 1.96) 1.56 (1.22, 1.99) 1.26 (0.99, 1.62)
*

Relative risks adjusted for age (continuous)

§

Relative risks adjusted for age (continuous), race (white vs. other/unknown), smoking status (never, former, current, or unknown), parity (nulliparous, one, two, ≥ three births, or unknown), ever use of oral contraceptives (no, yes, unknown), age at menopause (premenopausal, natural menopause at <45, 45–49, 50–54, or ≥ 55 years of age, or unknown age at menopause), and hormone therapy formulation (never used, ET use, EPT use, or unknown HT use)

Relative risks additionally adjusted for body mass index (continuous)

Not shown are unknown hours spent watching TV/videos (1 cancer and 1,779 person-years) and hours spent sitting (1 cancer and 2,077 person-years).

CI, confidence interval; RR, relative risk

There was no evidence for effect modification of the association between current daily routine activity, vigorous activity, and hours spent sitting during the past 12 months and endometrial cancer by HT formulation (data not shown). In addition, there was no evidence for effect modification of the association between current daily routine activity and hours spent sitting and endometrial cancer by BMI; however, the association with frequency of baseline vigorous activity was more pronounced among overweight and obese women than in lean women (BMI <25), although the interaction was not statistically significant (p for interaction for BMI <25 vs. ≥ 25 = 0.12) (Table 5).

Table 5.

Multivariate adjusted RR and 95% CI for the association between baseline vigorous physical activity and endometrial cancer by BMI, NIH-AARP Diet and Health Study

Vigorous physical activity during typical month in past 12 months No. cancers Person- years RR* 95% CI p for trend RR § 95% CI p for trend p for interaction
BMI <25
 Never/Rarely 53 59,559.7 1.00 0.92 1.00 0.21 0.12
 1–3 times/month 37 44,116.1 0.98 (0.65, 1.50) 0.89 (0.59, 1.36)
 1–2 times/week 70 73,250.7 1.10 (0.77, 1.58) 0.97 (0.68, 1.38)
 3–4 times/week 102 102,612.0 1.13 (0.81, 1.58) 0.93 (0.67, 1.31)
 5+ times/week 62 77,168.1 0.91 (0.63, 1.32) 0.76 (0.52, 1.10)
BMI 25+
 Never/Rarely 239 102,762.5 1.00 <.0001 1.00 <.0001
 1–3 times/month 112 66,374.3 0.76 (0.61, 0.95) 0.76 (0.61, 0.95)
 1–2 times/week 151 89,366.7 0.74 (0.61, 0.91) 0.73 (0.60, 0.90)
 3–4 times/week 142 92,733.5 0.66 (0.53, 0.81) 0.66 (0.53, 0.81)
 5+ times/week 77 52,909.1 0.62 (0.48, 0.80) 0.61 (0.47, 0.79)
*

Relative risks adjusted for age (continuous)

§

Relative risks adjusted for age (continuous), race (white vs. other/unknown), smoking status (never, former, current, or unknown), parity (nulliparous, one, two, ≥ three births, or unknown), ever use of oral contraceptives (no, yes, unknown), age at menopause (premenopausal, natural menopause at <45, 45–49, 50–54, or ≥ 55 years of age, or unknown age at menopause), and ever use of hormone therapy (no, yes)

Not shown are unknown vigorous activity among women with BMI <25 (1 cancer and 2,362 person-years) and unknown vigorous activity among women with BMI 25+ (6 cancers and 2,956 person-years).

BMI, body mass index; CI, confidence interval; RR, relative risk

In general, the correlations between activity responses asked on the two questionnaires were statistically significant and offered some suggestion of internal consistency (data not shown). For instance, hours spent sitting per day was positively correlated with hours spent watching TV/videos per day (r=0.21) and inversely associated with baseline activity (r= −0.46 for current daily routine activity at work or home and r= −0.15 for frequency of vigorous activity).

Discussion

In this large prospective study, increased frequency of vigorous physical activity, but not activity of lower intensity, was associated with a 23% reduced RR of endometrial cancer. The association with vigorous activity appeared to be stronger among overweight and obese women (BMI ≥ 25). We did not observe an association with risk for current daily routine or occupational physical activities. Number of hours spent sitting per day, but not watching TV, was related to an increased risk of endometrial cancer, and the association was statistically independent of BMI in this model.

Our findings for vigorous activity are remarkably consistent with a recently reported pooled estimate of the association between endometrial cancer and physical activity from cohort studies published through 2006, also showing a 23% decreased risk of endometrial cancer for the most active compared with the least active women (OR=0.77, 95% CI: 0.70–0.85).27 Few studies have reported relative risk estimates specifically for vigorous activity: our results are similar to those from two case-control studies suggesting reduced risk associated with vigorous activity,20, 23 but are in contrast with those from two cohort studies observing no association.5, 7 Whereas several previous case-control20, 21 and cohort5, 11, 12 studies have demonstrated risk reductions for light and moderate physical activities, we did not observe associations between frequency of light or moderate/vigorous recreational and household activities and endometrial cancer risk during recent years or earlier time periods. We observed no effect modification by HT, and our findings are generally consistent with previous investigations.(reviewed in 7, 27, 28) In the present study, we observed a stronger protective effect associated with vigorous activity among overweight and obese women, although the interaction was not statistically significant. While most cohort and case-control studies have not observed any effect modification by BMI,(reviewed in 27, 28) our findings are in contrast with one case-control study22 that observed a stronger effect in women with a lower BMI and are consistent with other cohort8, 14 and case-control studies19, 26 that found stronger associations with physical activity among women with a high BMI.

Associations with non-vigorous activity were less clear. Occupational physical activity has been associated with a reduced risk of endometrial cancer in three8, 9, 13 of six610, 13 prior cohort studies, which were conducted in Europe and China. We did not observe an association with history of occupational activity; however, we were limited by lack of information on intensity and dose of these activities, as well as by small numbers of women reporting physically demanding jobs, suggesting that occupational activity is unlikely to be an important population-level source of physical activity among similar groups of AARP-eligible women. Our results showing a positive dose-response relation between increased duration of sitting, but not watching TV, and endometrial cancer risk after additional adjustment for BMI are not directly comparable with the findings from the Swedish Mammography and Cancer Prevention Study II Cohorts, which both measured inactivity with a combined question for TV and sitting; one study found elevated risk among those watching TV/sitting ≥ 5 hours per day,6 whereas the other did not observe a statistically significant association for hours per day of TV/sitting after adjustment for BMI.14

There are several plausible biologic mechanisms for the observed associations between vigorous activity, inactivity and endometrial cancer. Endometrial carcinogenesis is thought to be caused, in part, by estrogens that are insufficiently counterbalanced by progesterone.3, 37 Physical activity may reduce endometrial cancer risk directly by decreasing levels of biologically available estrogens, as evidenced by studies reporting lower serum estrogen levels among more active women.38, 39 Physical activity may also indirectly influence endometrial cancer risk through lower body weight,40 since peripheral conversion of androgens to estrogens by aromatase occurs in the adipose tissue.41 Hence, the reduction in bioavailable estrogens associated with increased physical activity may in part explain the stronger associations we observed for vigorous activity among overweight and obese women, who have increased peripheral estrogen synthesis. Although physical activity and BMI are strongly linked, we observed significant dose-response relationships for vigorous activity and inactivity after adjustment for BMI and other potential confounding factors, suggesting that vigorous activity and inactivity independently affect endometrial cancer risk apart from their association with BMI. However, measurement error or residual confounding by BMI could also explain the apparent independence of these correlated factors. Finally, physical activity may influence growth factors and changes in immune function,4 both of which are thought to be related to endometrial cancer risk.2, 42

Although we assessed numerous potential confounding factors, it is possible that the observed associations may be explained by unmeasured lifestyle factors, such as socioeconomic status, which was shown to confound the association between occupational activity and endometrial cancer in a previous study.15 Inclusion of education in multivariate analyses, however, did not materially change results for any of the activity measures. Additional limitations may have affected our findings. Physical activity was self-reported, introducing the possibility of exposure misclassification which would most likely attenuate any true association between physical activity and endometrial cancer if all misclassification were non-differential. Nevertheless, we detected a significant inverse association for frequent vigorous activity of ≥ 20 minutes in duration. Previous studies have demonstrated better recall for vigorous activities than activities of lower intensity,43, 44 which could have contributed to the observed reduced risk with vigorous activity as opposed to null associations for light and moderate/vigorous recreational and household activities in our study. Our physical activity questions were not validated, but the measure of vigorous activity was structured according to the American College of Sports Medicine’s physical activity guidelines, which recommend ≥ 20 minutes of continuous vigorous exercise three times per week as a means of improving cardiorespiratory fitness.45 In addition, most of the pairwise correlations between reported physical activity questionnaire items were weak to modest, indicating both good internal consistency for activity types as well as an ability for the questions to measure different aspects of physical activity without being redundant.

In summary, this study provides evidence for a protective effect of vigorous activity and a deleterious role of inactivity with respect to endometrial cancer risk. Our findings are in support of the accumulating body of evidence from epidemiologic studies, which suggest that physical activity is important in the etiology of endometrial cancer. It will be important to clarify underlying mechanisms, including those relating to hormonal alterations.

Acknowledgments

The authors are indebted to the participants in the NIH-AARP Diet and Health Study for their cooperation. This research was supported in part by the Intramural Research Program of the NIH, National Cancer Institute. We thank Leslie Carroll and Pete Hui at Information Management Services, Inc., Silver Spring, Maryland for data support. Cancer incidence data from the Atlanta metropolitan area were collected by the Georgia Center for Cancer Statistics, Department of Epidemiology, Rollins School of Public Health, Emory University. Cancer incidence data from California were collected by the California Department of Health Services, Cancer Surveillance Section. Cancer incidence data from the Detroit metropolitan area were collected by the Michigan Cancer Surveillance Program, Community Health Administration, state of Michigan. The Florida cancer incidence data used in this report were collected by the Florida Cancer Data System under contract to the Department of Health (DOH). The views expressed herein are solely those of the authors and do not necessarily reflect those of the contractor or DOH. Cancer incidence data from Louisiana were collected by the Louisiana Tumor Registry, Louisiana State University Medical Center in New Orleans. Cancer incidence data from New Jersey were collected by the New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey State Department of Health and Senior Services. Cancer incidence data from North Carolina were collected by the North Carolina Central Cancer Registry. Cancer incidence data from Pennsylvania were supplied by the Division of Health Statistics and Research, Pennsylvania Department of Health, Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions.

List of abbreviations used

BMI

body mass index

CI

confidence interval

HT

hormone therapy

NIH

National Institutes of Health

RR

relative risk

SD

standard deviation

Footnotes

Novelty and impact of paper: While obesity has been consistently related to endometrial cancer risk, associations with physical activity have been inconclusive, and few studies have examined whether sedentary behaviors are associated with risk. Since physical activity is a modifiable risk factor, our results suggesting a protective effect of vigorous activity and a deleterious role of inactivity on endometrial cancer risk could have important public health implications.

Conflicts of interest: none

References

  • 1.Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ. Cancer statistics, 2007. CA Cancer J Clin. 2007;57:43–66. doi: 10.3322/canjclin.57.1.43. [DOI] [PubMed] [Google Scholar]
  • 2.Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004;4:579–91. doi: 10.1038/nrc1408. [DOI] [PubMed] [Google Scholar]
  • 3.Kaaks R, Lukanova A, Kurzer MS. Obesity, endogenous hormones, and endometrial cancer risk: a synthetic review. Cancer Epidemiol Biomarkers Prev. 2002;11:1531–43. [PubMed] [Google Scholar]
  • 4.Friedenreich CM, Orenstein MR. Physical activity and cancer prevention: etiologic evidence and biological mechanisms. J Nutr. 2002;132:3456S–64S. doi: 10.1093/jn/132.11.3456S. [DOI] [PubMed] [Google Scholar]
  • 5.Colbert LH, Lacey JV, Jr, Schairer C, Albert P, Schatzkin A, Albanes D. Physical activity and risk of endometrial cancer in a prospective cohort study (United States) Cancer Causes Control. 2003;14:559–67. doi: 10.1023/a:1024866827775. [DOI] [PubMed] [Google Scholar]
  • 6.Friberg E, Mantzoros CS, Wolk A. Physical activity and risk of endometrial cancer: a population-based prospective cohort study. Cancer Epidemiol Biomarkers Prev. 2006;15:2136–40. doi: 10.1158/1055-9965.EPI-06-0465. [DOI] [PubMed] [Google Scholar]
  • 7.Friedenreich C, Cust A, Lahmann PH, Steindorf K, Boutron-Ruault MC, Clavel-Chapelon F, Mesrine S, Linseisen J, Rohrmann S, Pischon T, Schulz M, Tjonneland A, et al. Physical activity and risk of endometrial cancer: the European prospective investigation into cancer and nutrition. Int J Cancer. 2007;121:347–55. doi: 10.1002/ijc.22676. [DOI] [PubMed] [Google Scholar]
  • 8.Furberg AS, Thune I. Metabolic abnormalities (hypertension, hyperglycemia and overweight), lifestyle (high energy intake and physical inactivity) and endometrial cancer risk in a Norwegian cohort. Int J Cancer. 2003;104:669–76. doi: 10.1002/ijc.10974. [DOI] [PubMed] [Google Scholar]
  • 9.Moradi T, Nyren O, Bergstrom R, Gridley G, Linet M, Wolk A, Dosemeci M, Adami HO. Risk for endometrial cancer in relation to occupational physical activity: a nationwide cohort study in Sweden. Int J Cancer. 1998;76:665–70. doi: 10.1002/(sici)1097-0215(19980529)76:5<665::aid-ijc9>3.0.co;2-o. [DOI] [PubMed] [Google Scholar]
  • 10.Pukkala E, Poskiparta M, Apter D, Vihko V. Life-long physical activity and cancer risk among Finnish female teachers. Eur J Cancer Prev. 1993;2:369–76. doi: 10.1097/00008469-199309000-00002. [DOI] [PubMed] [Google Scholar]
  • 11.Schouten LJ, Goldbohm RA, van den Brandt PA. Anthropometry, physical activity, and endometrial cancer risk: results from the Netherlands Cohort Study. J Natl Cancer Inst. 2004;96:1635–8. doi: 10.1093/jnci/djh291. [DOI] [PubMed] [Google Scholar]
  • 12.Terry P, Baron JA, Weiderpass E, Yuen J, Lichtenstein P, Nyren O. Lifestyle and endometrial cancer risk: a cohort study from the Swedish Twin Registry. Int J Cancer. 1999;82:38–42. doi: 10.1002/(sici)1097-0215(19990702)82:1<38::aid-ijc8>3.0.co;2-q. [DOI] [PubMed] [Google Scholar]
  • 13.Zheng W, Shu XO, McLaughlin JK, Chow WH, Gao YT, Blot WJ. Occupational physical activity and the incidence of cancer of the breast, corpus uteri, and ovary in Shanghai. Cancer. 1993;71:3620–4. doi: 10.1002/1097-0142(19930601)71:11<3620::aid-cncr2820711125>3.0.co;2-s. [DOI] [PubMed] [Google Scholar]
  • 14.Patel AV, Feigelson HS, Talbot JT, McCullough ML, Rodriguez C, Patel RC, Thun MJ, Calle EE. The role of body weight in the relationship between physical activity and endometrial cancer: Results from a large cohort of US women. Int J Cancer. 2008 doi: 10.1002/ijc.23716. [DOI] [PubMed] [Google Scholar]
  • 15.Dosemeci M, Hayes RB, Vetter R, Hoover RN, Tucker M, Engin K, Unsal M, Blair A. Occupational physical activity, socioeconomic status, and risks of 15 cancer sites in Turkey. Cancer Causes Control. 1993;4:313–21. doi: 10.1007/BF00051333. [DOI] [PubMed] [Google Scholar]
  • 16.Goodman MT, Hankin JH, Wilkens LR, Lyu LC, McDuffie K, Liu LQ, Kolonel LN. Diet, body size, physical activity, and the risk of endometrial cancer. Cancer Res. 1997;57:5077–85. [PubMed] [Google Scholar]
  • 17.Hirose K, Tajima K, Hamajima N, Takezaki T, Inoue M, Kuroishi T, Kuzuya K, Nakamura S, Tokudome S. Subsite (cervix/endometrium)-specific risk and protective factors in uterus cancer. Jpn J Cancer Res. 1996;87:1001–9. doi: 10.1111/j.1349-7006.1996.tb02132.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kalandidi A, Tzonou A, Lipworth L, Gamatsi I, Filippa D, Trichopoulos D. A case-control study of endometrial cancer in relation to reproductive, somatometric, and lifestyle variables. Oncology. 1996;53:354–9. doi: 10.1159/000227587. [DOI] [PubMed] [Google Scholar]
  • 19.Levi F, La Vecchia C, Negri E, Franceschi S. Selected physical activities and the risk of endometrial cancer. Br J Cancer. 1993;67:846–51. doi: 10.1038/bjc.1993.155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Littman AJ, Voigt LF, Beresford SA, Weiss NS. Recreational physical activity and endometrial cancer risk. Am J Epidemiol. 2001;154:924–33. doi: 10.1093/aje/154.10.924. [DOI] [PubMed] [Google Scholar]
  • 21.Matthews CE, Xu WH, Zheng W, Gao YT, Ruan ZX, Cheng JR, Xiang YB, Shu XO. Physical activity and risk of endometrial cancer: a report from the Shanghai endometrial cancer study. Cancer Epidemiol Biomarkers Prev. 2005;14:779–85. doi: 10.1158/1055-9965.EPI-04-0665. [DOI] [PubMed] [Google Scholar]
  • 22.Moradi T, Weiderpass E, Signorello LB, Persson I, Nyren O, Adami HO. Physical activity and postmenopausal endometrial cancer risk (Sweden) Cancer Causes Control. 2000;11:829–37. doi: 10.1023/a:1008919717930. [DOI] [PubMed] [Google Scholar]
  • 23.Olson SH, Vena JE, Dorn JP, Marshall JR, Zielezny M, Laughlin R, Graham S. Exercise, occupational activity, and risk of endometrial cancer. Ann Epidemiol. 1997;7:46–53. doi: 10.1016/s1047-2797(96)00071-3. [DOI] [PubMed] [Google Scholar]
  • 24.Salazar-Martinez E, Lazcano-Ponce EC, Lira-Lira GG, Escudero-De los Rios P, Salmeron-Castro J, Larrea F, Hernandez-Avila M. Case-control study of diabetes, obesity, physical activity and risk of endometrial cancer among Mexican women. Cancer Causes Control. 2000;11:707–11. doi: 10.1023/a:1008913619107. [DOI] [PubMed] [Google Scholar]
  • 25.Shu XO, Hatch MC, Zheng W, Gao YT, Brinton LA. Physical activity and risk of endometrial cancer. Epidemiology. 1993;4:342–9. doi: 10.1097/00001648-199307000-00010. [DOI] [PubMed] [Google Scholar]
  • 26.Sturgeon SR, Brinton LA, Berman ML, Mortel R, Twiggs LB, Barrett RJ, Wilbanks GD. Past and present physical activity and endometrial cancer risk. Br J Cancer. 1993;68:584–9. doi: 10.1038/bjc.1993.390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Voskuil DW, Monninkhof EM, Elias SG, Vlems FA, van Leeuwen FE. Physical activity and endometrial cancer risk, a systematic review of current evidence. Cancer Epidemiol Biomarkers Prev. 2007;16:639–48. doi: 10.1158/1055-9965.EPI-06-0742. [DOI] [PubMed] [Google Scholar]
  • 28.Cust AE, Armstrong BK, Friedenreich CM, Slimani N, Bauman A. Physical activity and endometrial cancer risk: a review of the current evidence, biologic mechanisms and the quality of physical activity assessment methods. Cancer Causes Control. 2007;18:243–58. doi: 10.1007/s10552-006-0094-7. [DOI] [PubMed] [Google Scholar]
  • 29.Schatzkin A, Subar AF, Thompson FE, Harlan LC, Tangrea J, Hollenbeck AR, Hurwitz PE, Coyle L, Schussler N, Michaud DS, Freedman LS, Brown CC, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol. 2001;154:1119–25. doi: 10.1093/aje/154.12.1119. [DOI] [PubMed] [Google Scholar]
  • 30.Ainsworth BE, Haskell WL, Leon AS, Jacobs DR, Jr, Montoye HJ, Sallis JF, Paffenbarger RS., Jr Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc. 1993;25:71–80. doi: 10.1249/00005768-199301000-00011. [DOI] [PubMed] [Google Scholar]
  • 31.SEER. ICD-O-3 coding materials, 2004
  • 32.Michaud DS, Midthune D, Hermansen S, Leitzmann M, Harlan LC, Kipnis V, Schatzkin A. Comparison of cancer registry case ascertainment with SEER estimates and self-reporting in a subset of the NIH-AARP Diet and Health Study. J Regist Manag. 2005;32:70–5. [Google Scholar]
  • 33.Thiebaut AC, Benichou J. Choice of time-scale in Cox’s model analysis of epidemiologic cohort data: a simulation study. Stat Med. 2004;23:3803–20. doi: 10.1002/sim.2098. [DOI] [PubMed] [Google Scholar]
  • 34.Gail MH, Lubin JH, Rubinstein LV. Likelihood Calculations for Matched Case-Control Studies and Survival Studies with Tied Death Times. Biometrika. 1981;68:703–07. [Google Scholar]
  • 35.Lacey JV, Jr, Leitzmann MF, Chang SC, Mouw T, Hollenbeck AR, Schatzkin A, Brinton LA. Endometrial cancer and menopausal hormone therapy in the National Institutes of Health-AARP Diet and Health Study cohort. Cancer. 2007;109:1303–11. doi: 10.1002/cncr.22525. [DOI] [PubMed] [Google Scholar]
  • 36.Chang SC, Lacey JV, Jr, Brinton LA, Hartge P, Adams K, Mouw T, Carroll L, Hollenbeck A, Schatzkin A, Leitzmann MF. Lifetime weight history and endometrial cancer risk by type of menopausal hormone use in the NIH-AARP diet and health study. Cancer Epidemiol Biomarkers Prev. 2007;16:723–30. doi: 10.1158/1055-9965.EPI-06-0675. [DOI] [PubMed] [Google Scholar]
  • 37.Key TJ, Pike MC. The dose-effect relationship between ‘unopposed’ oestrogens and endometrial mitotic rate: its central role in explaining and predicting endometrial cancer risk. Br J Cancer. 1988;57:205–12. doi: 10.1038/bjc.1988.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Cauley JA, Gutai JP, Kuller LH, LeDonne D, Powell JG. The epidemiology of serum sex hormones in postmenopausal women. Am J Epidemiol. 1989;129:1120–31. doi: 10.1093/oxfordjournals.aje.a115234. [DOI] [PubMed] [Google Scholar]
  • 39.Madigan MP, Troisi R, Potischman N, Dorgan JF, Brinton LA, Hoover RN. Serum hormone levels in relation to reproductive and lifestyle factors in postmenopausal women (United States) Cancer Causes Control. 1998;9:199–207. doi: 10.1023/a:1008838412423. [DOI] [PubMed] [Google Scholar]
  • 40.McTiernan A, Ulrich C, Slate S, Potter J. Physical activity and cancer etiology: associations and mechanisms. Cancer Causes Control. 1998;9:487–509. doi: 10.1023/a:1008853601471. [DOI] [PubMed] [Google Scholar]
  • 41.Siiteri PK. Adipose tissue as a source of hormones. Am J Clin Nutr. 1987;45:277–82. doi: 10.1093/ajcn/45.1.277. [DOI] [PubMed] [Google Scholar]
  • 42.Modugno F, Ness RB, Chen C, Weiss NS. Inflammation and Endometrial Cancer: A Hypothesis. Cancer Epidemiol Biomarkers Prev. 2005;14:2840–47. doi: 10.1158/1055-9965.EPI-05-0493. [DOI] [PubMed] [Google Scholar]
  • 43.Richardson MT, Leon AS, Jacobs DR, Jr, Ainsworth BE, Serfass R. Comprehensive evaluation of the Minnesota Leisure Time Physical Activity Questionnaire. J Clin Epidemiol. 1994;47:271–81. doi: 10.1016/0895-4356(94)90008-6. [DOI] [PubMed] [Google Scholar]
  • 44.Blair SN, Dowda M, Pate RR, Kronenfeld J, Howe HG, Jr, Parker G, Blair A, Fridinger F. Reliability of long-term recall of participation in physical activity by middle-aged men and women. Am J Epidemiol. 1991;133:266–75. doi: 10.1093/oxfordjournals.aje.a115871. [DOI] [PubMed] [Google Scholar]
  • 45.American College of Sports Medicine position stand. The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness in healthy adults. Med Sci Sports Exerc. 1990;22:265–74. [PubMed] [Google Scholar]

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