Skip to main content
Journal of Clinical Oncology logoLink to Journal of Clinical Oncology
. 2013 May 28;31(19):2450–2459. doi: 10.1200/JCO.2012.48.4691

Prospective Investigation of Body Mass Index, Colorectal Adenoma, and Colorectal Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial

Cari M Kitahara 1,, Sonja I Berndt 1, Amy Berrington de González 1, Helen G Coleman 1, Robert E Schoen 1, Richard B Hayes 1, Wen-Yi Huang 1
PMCID: PMC3691360  PMID: 23715565

Abstract

Purpose

Obesity has consistently been linked to an increased risk of colorectal cancer, particularly among men. Whether body mass index (BMI) differentially influences the risk across the stages of colorectal cancer development remains unclear. We evaluated the associations of BMI with colorectal adenoma incidence, adenoma recurrence, and cancer in the context of a large screening trial, in which cases and controls had an equal chance for disease detection.

Methods

We prospectively evaluated the association between baseline BMI and the risk of incident distal adenoma (1,213 cases), recurrent adenoma (752 cases), and incident colorectal cancer (966 cases) among men and women, ages 55 to 74 years, randomly assigned to receive flexible sigmoidoscopy screening as part of the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. We calculated odds ratios (ORs) and 95% CIs for adenoma incidence and recurrence, and hazard ratios (HRs) and 95% CIs for colorectal cancer incidence, using multivariable-adjusted models.

Results

Compared with normal-weight men (18.5 to 24.9 kg/m2), obese men (≥ 30 kg/m2) had significantly higher risk of incident adenoma (OR, 1.32; 95% CI, 1.06 to 1.65) and colorectal cancer (HR, 1.48; 95% CI, 1.16 to 1.89) and a borderline increased risk of recurrent adenoma (OR, 1.50; 95% CI, 0.98 to 2.30). No associations were observed for either adenoma or cancer in women.

Conclusion

Data from this large prospective study suggest that obesity is important throughout the natural history of colorectal cancer, at least in men, and colorectal cancer prevention efforts should encourage the achievement and maintenance of a healthy body weight in addition to regular screenings.

INTRODUCTION

Colorectal cancer is the fourth most common malignancy diagnosed in the United States after breast, prostate, and lung cancer.12 A substantial fraction of colorectal cancer incidence is thought to be attributable to modifiable risk factors, such as obesity, physical inactivity, cigarette smoking, and diet.35 Colorectal cancer develops through an accumulation of genetic alterations during which normal epithelial tissue progresses to adenoma and then into cancer.6 Regular screening is shown to be effective in preventing the development of colorectal cancer by removing adenomas.79 Some colorectal cancer risk factors, including nonsteroidal anti-inflammatory drug use and red meat intake, show similar associations with colorectal adenoma,1011 but conflicting patterns have been observed for others (eg, smoking and folic acid supplementation).1213 The same exposure may have different effects across the stages of cancer development depending, in part, on whether the colorectal tissue is normal, preneoplastic, or neoplastic at the time of exposure.14 A greater understanding of the relative impact of environmental exposures at the various stages of colorectal cancer development may contribute to more effective prevention and screening recommendations.

Obesity has consistently been linked with an increased risk of colorectal cancer1516 in men and colorectal adenoma17 in both men and women, although more weakly for postmenopausal than premenopausal women. The few studies that have examined obesity in relation to adenoma recurrence suggest a positive association but only in men.1819 No previous study, to our knowledge, has examined body mass index (BMI) in relation to all three outcomes.

In this prospective study with a relatively long period of follow-up, we evaluated and compared the associations between BMI and adenoma incidence, adenoma recurrence, and colorectal cancer for the first time in the context of a colorectal screening trial in which men and women randomly assigned to the intervention arm underwent sigmoidoscopy screening, and cases had an equal chance for disease detection as did controls.

METHODS

Overview

The Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial is a multicenter, randomized controlled trial designed to evaluate the efficacy of screening methods for these four cancers.20 From 1993 to 2001, 154,952 participants ages 55 to 74 years were recruited at one of 10 US centers (University of Colorado, Georgetown University/Lombardi Cancer Center, Pacific Health Research and Education Institute, Henry Ford Health System, University of Minnesota, Washington University School of Medicine, University of Pittsburgh, University of Utah, Marshfield Clinic Research Foundation, and University of Alabama at Birmingham) and were randomly assigned to the screened or nonscreened trial arm. Individuals were ineligible if they had a previous history of prostate, lung, colorectal, or ovarian cancer, had surgical removal of the prostate, colon, or one lung, were currently being treated for cancer (other than nonmelanoma skin cancer), were current participants in another cancer screening or primary prevention trial, had taken finasteride in the previous 6 months, or, for individuals randomly assigned after mid-1995, if they had a colonoscopy, sigmoidoscopy, barium enema, or more than one prostate-specific antigen (PSA) blood test within the previous 3 years. Screened participants underwent flexible sigmoidoscopy screening at baseline and again during follow-up, either 3 (T3) or 5 (T5) years subsequently (participants randomly assigned before mid-1995 received the second screen at T3, whereas the remaining participants subsequently received it at T5). Participants with abnormal findings were referred to their health care providers for diagnostic endoscopy. Trained personnel abstracted medical records for all diagnostic follow-up visits. At baseline, participants in the screening arm completed a self-administered questionnaire (BQ) with questions on demographic characteristics, medical history, family history of cancer, use of tobacco, selected drugs and hormones, and height and weight as well as a 137-item food frequency questionnaire ascertaining food and beverage intake during the previous 12 months and frequency of vigorous exercise.21 Overall, 97% and 89% of participants completed the BQ and dietary questionnaire, respectively, before or on the day of baseline sigmoidoscopy. The institutional review boards at the National Cancer Institute and the 10 study centers approved the study. All participants provided written informed consent.

Study Population and Outcome Ascertainment

All analyses were restricted to participants randomly assigned to the screening arm of the trial (n = 77,445).

Incident distal colorectal adenoma study.

The study population (described previously22) comprises participants who had an adequate baseline flexible sigmoidoscopy (insertion ≥ 50 cm with ≥ 90% of mucosa visible or suspicious lesion found) with no polyps or abnormal/suspicious findings in the descending or sigmoid colon (hereafter referred to as the distal colon) or rectum, an adequate follow-up sigmoidoscopy at T3/T5, and no prior history of colorectal cancer before the T3/T5 screening (n = 26,766). Incident colorectal adenoma cases were defined as individuals with a positive follow-up sigmoidoscopy, which was subsequently confirmed during diagnostic endoscopy outside of the study. Participants with positive findings at follow-up sigmoidoscopy that were not subsequently confirmed by diagnostic endoscopy, either because no adenoma was found at diagnostic endoscopy (n = 3,370), diagnostic endoscopy was not performed (n = 418), or information regarding diagnostic follow-up could not be obtained (n = 460), were excluded. We further excluded participants with a self-reported history of colorectal polyps, Crohn's disease, ulcerative colitis, familial polyposis, or Gardner's syndrome at baseline (n = 1,435), as well as participants who had an incomplete BQ (n = 21) or missing or extreme BMI values (< 15 or > 50 kg/m2; n = 239). Advanced adenoma was defined as adenomas ≥ 1 cm in size, containing high-grade dysplasia, or villous components. Controls were participants without any polyps or abnormal suspicious lesions on the T3/T5 follow-up sigmoidoscopy. After exclusions, there were 1,213 incident distal colorectal adenoma cases (802 men; 411 women) and 19,610 controls (10,672 men; 8,938 women).

Recurrent colorectal adenoma study.

The Study of Colonoscopy Utilization (SCU) is an ancillary study nested within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Participants with a positive baseline sigmoidoscopy screen and diagnostic endoscopy no more than 6 months from baseline with no cancer findings were invited to complete the telephone-administered SCU questionnaire, which asked questions about all known colonoscopies performed since random assignment (n = 5,013).23 These colonoscopies, including details of all identified polyps, were verified through medical record abstraction. We further restricted to participants who were diagnosed with adenoma at baseline endoscopy (verified by medical record abstraction), received a subsequent endoscopy between 6 months and 10 years after baseline endoscopy (hereafter referred to as the surveillance endoscopy), and completed the BQ (n = 1,905). We excluded from this population participants with a history of Crohn's disease, ulcerative colitis, familial polyposis, Gardner's syndrome, or colorectal polyps (n = 210). We also excluded participants with missing or extreme BMI values (< 15 or > 50; n = 19), yielding 1,064 men and 612 women. Individuals who received a diagnosis of adenoma at any surveillance endoscopy were defined as recurrent adenoma cases (n = 752; men, 526; women, 226), and all others were defined as controls (n = 924; men, 538; women, 386). First occurrence of adenoma occurred at a median of 4 years (interquartile range, 2 to 5 years) after baseline endoscopy.

Incident colorectal cancer study.

Of the 75,534 participants who completed the BQ, we excluded those with missing (n = 921) or extreme BMI values (< 15 or > 50; n = 139), yielding 36,912 men and 37,562 women for the analysis. Colorectal cancers were ascertained through self-reported annual questionnaires and linkage to the National Death Index (for completeness) and were histologically confirmed through medical record review. In total, 966 colorectal cancer diagnoses (549 men, 417 women) were confirmed during follow-up (median, 11.9 years).

Statistical Analysis

BMI categories were based on World Health Organization cut points for underweight (< 18.5 kg/m2), normal weight (18.5 to 24.9 kg/m2), overweight (25.0 to 29.9 kg/m2), and obese (≥ 30 kg/m2).24 Odds ratios (ORs) and 95% CIs for incident distal adenoma and recurrent adenoma were calculated from unconditional logistic regression models. Hazard ratios (HRs) and 95% CIs for colorectal cancer were calculated from Cox proportional hazards regression models, with follow-up from the BQ completion date to the date of colorectal cancer diagnosis, loss to follow-up, death, or December 31, 2009, whichever occurred first. Overall and sex-stratified models were conducted using normal weight as the referent category. Base models were adjusted for age, sex, race/ethnicity, study center, study year of screening (for incident adenoma), surveillance time interval and number of surveillance endoscopies (for recurrent adenoma), and screening adequacy and results before colorectal cancer diagnosis (for colorectal cancer). We examined the influence of additional factors, including education, exercise, smoking status, family history of colorectal cancer, regular use of nonsteroidal anti-inflammatory drugs, menopausal hormone therapy use, and intakes of alcohol, total energy, total calcium (diet sources plus supplements), fiber, and red meat, in the base model with BMI modeled continuously (per 5 kg/m2). Factors that changed the beta coefficient for BMI by 10% or more in the incident adenoma, recurrent adenoma, or colorectal cancer analyses were retained in fully adjusted models. Trend tests were conducted by modeling categorical variables as continuous and evaluating the statistical significance of the Wald test. We chose a priori to further stratify models in women by menopausal hormone therapy use to evaluate effect modification. Tests for multiplicative interactions by sex, menopausal hormone use, and other factors were performed using the likelihood ratio test, comparing models including cross-product terms to models without. Tests for differences across disease subtypes were conducted using polytomous logistic regression analysis for adenoma subtypes and the Mantel-Haenszel test for heterogeneity for cancer subtypes. P values were two-sided, and analyses were conducted using Stata/SE (version 11.0).

RESULTS

Characteristics of the Cohort

The mean BMI was 27.5 kg/m2 (standard deviation, 4.1 kg/m2) in men and 27.1 kg/m2 (standard deviation, 5.3 kg/m2) in women. Approximately 73.4% of men and 59.6% of women were overweight, and 23.5% of men and 24.9% of women were obese. Compared with normal-weight participants, on average, overweight or obese participants were slightly younger, less likely to be Asian and more likely to be non-Hispanic black, less likely to have a college education, more likely to be former smokers, used both aspirin and ibuprofen regularly, used menopausal hormone therapy formerly, exercised less, and had greater intakes of total energy and red meat and lower intakes of total calcium and total fiber (Table 1).

Table 1.

Baseline Characteristics of Study Participants in the Intervention Arm of the PLCO Cancer Screening Trial by BMI (kg/m2)

Characteristic BMI Category
< 18.5 (n = 569) 18.5-24.9 (n = 24,402) 25.0-29.9 (n = 31,480) ≥ 30 (n= 18,023)
BMI
    Mean 17.5 22.8 27.2 33.9
    SD 0.8 1.5 1.4 3.7
Male, % of participants 25 40 59 48
Age, years
    Mean 63.8 63.0 62.8 61.9
    SD 5.6 5.5 5.3 5.2
Race/ethnicity, % of participants
    White, non-Hispanic 80 88 89 88
    Black, non-Hispanic 5 3 5 8
    Asian 12 6 3 1
    Other 3 2 3 3
Education, % of participants
    ≤ 12 years of high school 29 27 30 35
    Post-high school training/some college 33 33 34 37
    College graduate or postgraduate 37 40 36 28
Hours of exercise per week
    Mean 2.8 3.1 2.7 2.1
    SD 1.9 1.7 1.8 1.7
Smoking status, % of participants
    Never 45 46 40 41
    Former 27 38 45 47
    Current 27 13 10 8
    Pipe or cigar smoker only 2 3 5 4
Alcohol intake, g/d
    Mean 9.6 10.9 11.7 9.3
    SD 24.3 22.1 23.7 23.2
Family history of colorectal cancer, % of participants 13 10 10 10
NSAID use, % of participants
    Neither taken regularly 43 42 38 35
    Aspirin only 29 31 33 31
    Ibuprofen only 13 12 12 14
    Both taken regularly 14 15 17 19
Total energy intake, kcal/d
    Mean 1,844 1,917 2,088 2,130
    SD 736 728 805 847
Menopausal hormone therapy use (women only), % of participants
    Never 36 29 33 40
    Former 15 15 17 19
    Current 48 55 49 40
Total calcium intake*
    Mean 745 705 621 608
    SD 402 358 308 294
Red meat intake
    Mean 27.5 30.0 37.3 42.6
    SD 18.5 19.9 21.6 23.6
Total fiber intake
    Mean 12.7 12.4 11.5 11.1
    SD 4.3 3.8 3.5 3.4

NOTE. Missing values are not shown.

Abbreviations: BMI, body mass index; NSAID, nonsteroidal anti-inflammatory drug; PLCO, Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial; SD, standard deviation.

*

Energy adjusted using the density method (mg/1,000 kcal).

Energy adjusted using the density method (gm/1,000 kcal).

Within the incident adenoma study population, cases had slightly higher BMI values, were more likely to be male, exercised less, were more likely to be former or current smokers or never-users of menopausal hormone therapy, and consumed less calcium and fiber and more total energy, alcohol, and red meat (Table 2). Similarly, among SCU participants, recurrent adenoma cases had slightly higher BMI values, were more likely to be male, and consumed less total calcium and more total energy, alcohol, and red meat than controls (Table 2).

Table 2.

Baseline Characteristics of Study Participants in the Colorectal Adenoma Incidence and Recurrence Analyses by Case and Control Status

Characteristic Incidence
Recurrence
Cases (n = 1,213) Controls (n = 19,610) Cases (n = 752) Controls (n = 924)
BMI, kg/m2
    Mean 27.6 27.0 27.7 27.4
    SD 4.5 4.5 4.3 4.5
Male, % of participants 66 54 70 58
Age at diagnosis/pseudodiagnosis, years
    Mean 66.7 66.7 66.9 68.0
    SD 5.0 4.9 5.4 5.4
Race/ethnicity, % of participants
    White, non-Hispanic 90 88 92 95
    Black, non-Hispanic 4 3 2 3
    Asian 4 6 3 1
    Other 2 3 3 1
Education, % of participants
    ≤ 12 years of high school 29 27 30 33
    Post-high school training/some college 33 33 35 32
    College graduate or postgraduate 38 40 36 34
Hours of exercise per week, % of participants
    < 1 32 25 30 31
    1-2 25 25 26 25
    ≥ 3 32 38 36 38
Smoking status, % of participants
    Never 39 49 28 35
    Former 46 41 51 47
    Current 11 5 14 15
    Pipe or cigar smoker only 4 5 6 3
Alcohol intake, g/d
    Mean 14.8 10.2 17.6 14.4
    SD 29.6 21.7 30.4 30.9
Family history of colorectal cancer, % of participants 10 9 13 12
Personal history of diabetes, % of participants 7 6 6 7
NSAID use, % of participants
    Neither taken regularly 40 40 43 42
    Aspirin only 34 32 33 31
    Ibuprofen only 10 12 10 13
    Both taken regularly 15 16 14 14
Total energy intake, kcal/d
    Mean 2,197 2,075 2,221 2,082
    SD 837 795 976 884
Menopausal hormone therapy use (women only), % of participants
    Never 40 32 43 40
    Former 14 16 13 17
    Current 46 52 44 43
Total calcium intake*
    Mean 575 642 538 606
    SD 273 318 243 307
Red meat intake
    Mean 40 36 41 38
    SD 23 22 22 21
Total fiber intake
    Mean 11.2 12.0 11.1 11.3
    SD 3.5 3.6 3.4 3.5

NOTE. Missing values are not shown.

Abbreviations: BMI, body mass index; NSAID, nonsteroidal anti-inflammatory drug; SD, standard deviation.

*

Energy adjusted using the density method (mg/1,000 kcal).

Energy adjusted using the density method (gm/1,000 kcal).

Incident Distal Colorectal Adenoma

Overall, we observed a nonsignificant positive association between BMI and distal colorectal adenoma risk (Table 3), but in sex-stratified analyses, we observed a significantly increased risk of adenoma for obese men compared with normal-weight men (OR, 1.32; 95% CI, 1.06 to 1.65; P trend = .01). In men, no significant differences were observed according to adenoma location or advanced histology (Table 3). Though we found a stronger association for large (≥ 1 cm) adenomas (OR, 1.85; 95% CI, 1.03 to 3.33) versus small adenomas in men (OR, 1.03; 95% CI, 0.78 to 1.36), this difference was not significant (P heterogeneity = .20).

Table 3.

ORs and 95% CIs for Incident Distal Colorectal Adenoma by BMI (kg/m2)

BMI Category* Nonparticipants Any Distal Colorectal Adenoma
Distal Colon
Rectal
Advanced
Nonadvanced
Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI
All
    18.5-24.9 6,652 346 1.00 Ref 268 1.00 Ref 94 1.00 Ref 70 1.00 Ref 182 1.00 Ref
    25.0-29.9 8,601 546 1.06 0.92 to 1.22 422 1.05 0.90 to 1.24 144 1.04 0.79 to 1.36 138 1.34 0.99 to 1.80 267 0.99 0.81 to 1.20
    ≥ 30 4,237 312 1.17 0.99 to 1.38 240 1.15 0.95 to 1.39 74 1.05 0.76 to 1.46 72 1.37 0.96 to 1.95 154 1.14 0.90 to 1.44
    P, trend .08 .16 .79 .08 .30
Men
    18.5-24.9 2,947 188 1.00 Ref 147 1.00 Ref 51 1.00 Ref 38 1.00 Ref 105 1.00 Ref
    25.0-29.9 5,455 403 1.13 0.94 to 1.36 312 1.12 0.91 to 1.38 101 1.06 0.74 to 1.50 105 1.47 1.00 to 2.16 205 1.05 0.82 to 1.35
    ≥ 30 2,241 208 1.32 1.06 to 1.65 155 1.26 0.98 to 1.61 54 1.30 0.86 to 1.97 48 1.49 0.95 to 2.35 105 1.24 0.92 to 1.67
    P, trend .01 .07 .23 .09 .17
Women
    18.5-24.9 3,705 158 1.00 Ref 121 1.00 Ref 43 1.00 Ref 32 1.00 Ref 77 1.00 Ref
    25.0-29.9 3,146 143 0.97 0.76 to 1.23 110 0.96 0.73 to 1.26 43 1.07 0.69 to 1.66 33 1.14 0.69 to 1.89 62 0.89 0.63 to 1.26
    ≥ 30 1,996 104 0.96 0.73 to 1.26 85 1.00 0.74 to 1.36 20 0.69 0.39 to 1.22 24 1.18 0.66 to 2.10 49 1.00 0.67 to 1.47
    P, trend .75 .97 .26 .60 .91
P, interaction by sex§ .22 .32 .58 .78 .35

Abbreviations: BMI, body mass index; OR, odds ratio; Ref, reference.

*

Results for BMI < 18.5 not shown owing to small numbers of cases.

Adjusted for age at screening (T3 or T5; < 64, 64-67, 68-71, ≥ 72 years), sex (if applicable), study center, year of screening (T3/T5), race/ethnicity (white non-Hispanic, black non-Hispanic, Asian, other, missing), exercise (< 1 hr/wk, 1-2 hr/wk, ≥ 3 hr/wk, missing), smoking status (never smoked tobacco, former cigarette smoker, current cigarette smoker, never smoked cigarettes but ever smoked a pipe or cigar, missing), menopausal hormone therapy use (never, former, current, missing), and sex-specific quartiles of intakes of total energy, total calcium, and red meat.

Calculated by modeling BMI categories as continuous and evaluating statistical significance of Wald test; excludes BMI < 18.5.

§

Calculated by comparing the fit of a model including a cross-product term between BMI (continuous variable) and sex to a model without this term using the likelihood ratio test; models exclude BMI < 18.5.

No associations were observed between BMI and adenoma among women; however, we observed no evidence of multiplicative interactions by sex (Table 3). A slight, nonsignificant positive association was observed among women who were never-users of menopausal hormone therapy (OR for obese v normal-weight, 1.19, 95% CI, 0.77 to 1.83; P trend = .45), whereas a nonsignificant inverse association was observed among ever-users (OR, 0.81; 95% CI, 0.56 to 1.18; P trend = .30; P interaction = .11).

Recurrent Adenoma

Similar to incident adenoma, BMI was associated with a borderline-significant increased risk of recurrent adenoma overall and among men (Table 4), with obese men displaying an increased risk of recurrence compared with normal-weight men (OR, 1.50; 95% CI, 0.98 to 2.30; P trend = .07). In men, no significant differences were observed according to adenoma location or advanced versus nonadvanced histology (Table 4). We also did not observe differences according to size of the adenoma (data not shown).

Table 4.

ORs and 95% CIs for Colorectal Adenoma Recurrence by BMI (kg/m2)

BMI Category* Nonparticipants Any Recurrent Adenoma
Proximal Colon
Distal Colon
Rectum
Advanced
Nonadvanced
Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI Cases OR 95% CI
All
    18.5-24.9 290 195 1.00 Ref 91 1.00 Ref 64 1.00 Ref 21 1.00 Ref 46 1.00 Ref 149 1.00 Ref
    25.0-29.9 405 358 1.25 0.95 to 1.66 156 1.12 0.78 to 1.61 130 1.39 0.92 to 2.10 35 1.08 0.56 to 2.11 84 1.35 0.81 to 2.24 274 1.22 0.90 to 1.65
    ≥ 30 224 199 1.31 0.94 to 1.82 108 1.44 0.95 to 2.19 61 1.22 0.74 to 1.99 16 0.90 0.41 to 1.99 58 1.36 0.76 to 2.44 141 1.29 0.90 to 1.84
    P, trend .10 .08 .41 .80 .31 .16
Men
    18.5-24.9 141 110 1.00 Ref 51 1.00 Ref 38 1.00 Ref 11 1.00 Ref 25 1.00 Ref 85 1.00 Ref
    25.0-29.9 268 272 1.34 0.93 to 1.93 119 1.14 0.72 to 1.82 100 1.65 0.97 to 2.80 22 0.70 0.29 to 1.70 59 1.22 0.62 to 2.41 213 1.34 0.91 to 1.98
    ≥ 30 128 144 1.50 0.98 to 2.30 77 1.50 0.88 to 2.56 48 1.69 0.90 to 3.16 7 0.47 0.15 to 1.47 42 1.51 0.69 to 3.29 102 1.46 0.92 to 2.31
    P, trend .07 .13 .11 .19 .30 .11
Women
    18.5-24.9 149 85 1.00 Ref 40 1.00 Ref 26 1.00 Ref 10 1.00 Ref 21 1.00 Ref 64 1.00 Ref
    25.0-29.9 137 86 1.27 0.79 to 2.04 37 1.27 0.67 to 2.39 30 1.25 0.59 to 2.65 13 2.00 0.59 to 6.82 25 2.16 0.91 to 5.12 61 1.14 0.68 to 1.93
    ≥ 30 96 55 1.15 0.66 to 2.01 31 1.54 0.73 to 3.23 13 0.72 0.28 to 1.85 9 1.54 0.41 to 5.76 16 1.44 0.52 to 4.02 39 1.10 0.59 to 2.03
    P, trend .54 .25 .62 .54 .34 .72
P, interaction by sex§ .94 .67 .28 .26 .48 .65

Abbreviations: BMI, body mass index; hr/wk, hours per week; OR, odds ratio; Ref, reference.

*

Results for BMI < 18.5 not shown owing to small numbers of cases.

Adjusted for age at recurrence (for participants) or last surveillance colonoscopy (for controls; < 63, 63-67, 68-71, ≥ 72 years), sex (if applicable), study center, surveillance period, No. of surveillance endoscopies, race/ethnicity (white non-Hispanic, black non-Hispanic, Asian, other, missing), exercise (< 1 hr/wk, 1-2 hr/wk, ≥ 3 hr/wk, missing), smoking status (never smoked tobacco, former cigarette smoker, current cigarette smoker, never smoked cigarettes but ever smoked a pipe or cigar, missing), menopausal hormone therapy use (never, former, current, missing), and sex-specific quartiles of intakes of total energy, total calcium, and red meat.

Calculated by modeling BMI categories as continuous and evaluating statistical significance of Wald test; excludes BMI < 18.5.

§

Calculated by comparing the fit of a model including a cross-product term between BMI (continuous variable) and sex to a model without this term using the likelihood ratio test; models exclude BMI < 18.5.

No associations were observed between BMI and recurrent adenoma among women; however, we observed no evidence of multiplicative interactions by sex (Table 4). A nonsignificant positive association between BMI and recurrent adenoma was observed among never-users of menopausal hormone therapy (OR for obese v normal-weight, 1.60; 95% CI, 0.63 to 4.04; P trend = .31), whereas a nonsignificant decreased risk was observed among ever-users (OR, 0.76; 95% CI, 0.35 to 1.64; P trend = .68); however, this difference was not significant (P interaction = .68). No differences were observed after excluding participants whose recurrence occurred less than 1 year after the initial diagnosis.

Colorectal Cancer Incidence

We observed an increased risk for colorectal cancer among obese versus normal-weight participants overall (HR, 1.24; 95% CI, 1.04 to 1.47; P trend = .02) and after restricting to men (HR, 1.48; 95% CI, 1.16 to 1.89; P trend = .002; Table 5). No differential risk patterns were observed by cancer location or between advanced tumors (stage III/IV) versus nonadvanced tumors (stage I/II; Table 5). Slightly stronger associations for obesity were observed in men after excluding the first year of follow-up (HR, 1.71; 95% CI, 1.28 to 2.28; P trend < .001).

Table 5.

HRs and 95% CIs for Incident Colorectal Cancer by BMI (kg/m2)

BMI Category* Any Colorectal Cancer
Proximal Colon
Distal Colon
Rectum
Advanced
Nonadvanced
Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI
All
    18.5-24.9 284 1.00 Ref 157 1.00 Ref 65 1.00 Ref 56 1.00 Ref 112 1.00 Ref 157 1.00 Ref
    25.0-29.9 424 1.11 0.95 to 1.29 228 1.10 0.89 to 1.35 101 1.13 0.82 to 1.56 92 1.17 0.83-1.64 151 1.03 0.80 to 1.32 256 1.18 0.97 to 1.45
    ≥ 30 254 1.24 1.04 to 1.47 144 1.32 1.04 to 1.66 53 1.07 0.73 to 1.55 52 1.20 0.81 to 1.78 100 1.27 0.96 to 1.67 141 1.22 0.96 to 1.54
    P, trend .02 .02 .70 .35 .10 .09
Men
    18.5-24.9 128 1.00 Ref 65 1.00 Ref 31 1.00 Ref 31 1.00 Ref 54 1.00 Ref 68 1.00 Ref
    25.0-29.9 270 1.19 0.96 to 1.48 136 1.15 0.85 to 1.55 64 1.19 0.77 to 1.85 68 1.27 0.83 to 1.96 86 0.92 0.65 to 1.29 173 1.41 1.06 to 1.87
    ≥ 30 148 1.48 1.16 to 1.89 74 1.48 1.05 to 2.09 36 1.48 0.90 to 2.42 35 1.38 0.83 to 2.27 53 1.32 0.89 to 1.95 85 1.53 1.11 to 2.13
    P, trend .002 .02 .12 .21 .19 .01
Women
    18.5-24.9 156 1.00 Ref 92 1.00 Ref 34 1.00 Ref 25 1.00 Ref 58 1.00 Ref 89 1.00 Ref
    25.0-29.9 154 1.07 0.86 to 1.34 92 1.10 0.82 to 1.47 37 1.13 0.70 to 1.81 24 1.04 0.59 to 1.83 65 1.22 0.85 to 1.75 83 1.01 0.74 to 1.36
    ≥ 30 106 1.03 0.80 to 1.33 70 1.23 0.89 to 1.69 17 0.66 0.36 to 1.21 17 0.95 0.50 to 1.79 47 1.24 0.83 to 1.84 56 0.96 0.68 to 1.36
    P, trend .74 .21 .25 .89 .27 .85
P, interaction by sex§ .12 .41 .27 .39 .90 .17

Abbreviations: BMI, body mass index; HR, hazard ratio; Ref, reference.

*

Results for BMI < 18.5 not shown owing to small numbers of cases.

Adjusted for age at baseline questionnaire completion (< 58, 58-61, 62-66, ≥ 67 years); sex (if applicable); study center; screening at baseline, T3, or T5 and prior to colorectal cancer diagnosis; screening adequacy and results at baseline, T3, or T5 screen and prior to colorectal cancer diagnosis (negative, positive for adenoma, inadequate/not done); race/ethnicity (white non-Hispanic, black non-Hispanic, Asian, other, missing); smoking status (never smoked tobacco, former cigarette smoker, current cigarette smoker, never smoked cigarettes but ever smoked a pipe or cigar, missing); and menopausal hormone therapy use (never, former, current, missing).

Calculated by modeling BMI categories as continuous and evaluating statistical significance of Wald test; excludes BMI < 18.5.

§

Calculated by comparing the fit of a model including a cross-product term between BMI (continuous variable) and sex to a model without this term using the likelihood ratio test; models exclude BMI < 18.5.

Among women, no associations were observed between BMI and colorectal cancer; however, we observed no evidence of multiplicative interactions by sex (Table 5). Unlike what we observed for adenoma, a nonsignificant inverse association was observed among never-users of menopausal hormone therapy (HR for obese v normal-weight, 0.74; 95% CI, 0.49 to 1.11; P trend = .54), whereas a slight positive association was observed for ever-users (HR, 1.29; 95% CI, 0.93 to 1.79; P trend = .11; P interaction = .02). Results did not differ after excluding the first year of follow-up.

DISCUSSION

In this large, cancer-screening trial, we observed a consistent pattern of increased risk between obesity and colorectal neoplasia among men throughout the colorectal adenoma-cancer progression. In men, the associations were similar across the three outcomes, though slightly stronger for colorectal cancer and adenoma recurrence (albeit limited by power) compared with adenoma incidence.

Our study is consistent with previous studies in having shown stronger positive associations for BMI and colorectal cancer incidence2532 and adenoma recurrence,1819 in men compared with women. Studies of colorectal adenoma incidence have shown more equivocal results by sex,3335 though a meta-analysis of studies suggested that the association is weaker for postmenopausal women compared with premenopausal women.17 In this study, we observed no associations for colorectal cancer or adenoma incidence or recurrence in women, most of whom were postmenopausal at enrollment. Because adipose tissue becomes the main source of circulating estrogen after menopause,36 and estrogen levels have been inversely associated with both colorectal adenoma and cancer,37 obesity may represent opposing effects on colorectal adenoma and cancer development among women after menopause while mainly representing adverse effects among men and premenopausal women.38 The stronger associations for BMI in men compared with women may also be explained by a greater tendency of men to deposit fat around their abdomen39; excess abdominal fat has been linked with metabolic abnormalities, including a higher risk of diabetes and cardiovascular disease.4042 One large prospective study showed an increased risk for colon cancer among women with higher waist circumference and waist-to-hip ratio but not BMI.43 Thus, studies with measures of body fat distribution are needed to provide a more accurate estimation of the risks of colorectal adenoma and cancer associated with excess adiposity in women.

Meta-analyses have suggested that BMI may be more strongly associated with colon versus rectal adenoma44 and cancer1516 incidence. Similarly, a pooled analysis of seven prospective studies found an association with recurrent adenomas in the proximal colon but not distal colon or rectum.19 Although we did not observe any statistically significant differences in associations by tumor location, we observed a qualitative difference in men in the association between BMI and recurrent adenoma in the rectum (nonsignificantly inverse) compared with the proximal and distal colon (nonsignificantly positive). Consistent with previous studies,19,4546 we observed no differences in the associations between BMI and advanced versus nonadvanced colorectal adenoma incidence or recurrence. Likewise, we observed no differences by cancer stage (I/II v III/IV). As our study was conducted within a screening trial, the proportion of cancers diagnosed at an earlier stage was larger than in other studies.

Biologic mechanisms by which obesity increases colorectal tumor risks are unclear, which may be in part because of the apparent complexity of this association and could depend on the timing of the exposure.14 The consistent associations of obesity with incident and recurrent adenoma and cancer in our study suggest that obesity contributes to risk at all disease stages, including adenoma initiation and tumor advancement to adenoma recurrence and cancer development. BMI reflects numerous exposures in addition to adiposity, including various hormones, cytokines, and reactive oxygen species associated with chronic, low-grade systemic inflammation, dietary intake, and overall energy balance.47 Additional studies are needed to identify the biologic underpinnings of this association.

Our study is unique in that it is conducted within a cancer screening trial, in which cases had an equal chance for disease detection as controls and colorectal cancer screening was less likely to be influenced by BMI or other factors.48 Although some previous studies had controlled for self-reported history of endoscopic screening,3334 adjustment for potential screening-related biases was even more complete with this design. In addition, all participants were randomly assigned to receive screening by a standardized protocol for colorectal neoplasia, further minimizing differences in screening. Participants came from 10 different screening centers representing a broad population distribution in the United States, although they had higher levels of education, were more physically active, and were less likely to be current smokers.49

Our study was limited by the exclusive use of sigmoidoscopy in the trial and, thus, we were unable to investigate the association between BMI and incident proximal adenoma. Also, we relied on self-reported height and weight, which may have introduced some measurement error in our exposure assessment; however, such error would have likely biased our results to the null. We lacked information on body fat distribution, which could have provided greater insight into the role of obesity and colorectal neoplasia risk.

In summary, in this large prospective study conducted in the context of a screening trial, we observed increased risks of incident adenoma, recurrent adenoma, and cancer in middle-aged obese men undergoing screening with sigmoidoscopy. These observations suggest that obesity contributes to not only colorectal tumor initiation but also progression, and that regular screenings, detection, and removal of colorectal adenomas do not eliminate the risk of colorectal cancer associated with obesity. Colorectal cancer prevention efforts should encourage the achievement and maintenance of a healthy body weight in addition to regular screenings.

Acknowledgment

We thank Paul Pinsky, PhD, for comments on an earlier version of this article.

Footnotes

Supported in part by the Intramural Research Program of the National Cancer Institute, National Institutes of Health.

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

The author(s) indicated no potential conflicts of interest.

AUTHOR CONTRIBUTIONS

Conception and design: Cari M. Kitahara, Sonja I. Berndt, Wen-Yi Huang

Data analysis and interpretation: All authors

Manuscript writing: All authors

Final approval of manuscript: All authors

REFERENCES

  • 1.Eheman C, Henley SJ, Ballard-Barbash R, et al. Annual report to the nation on the status of cancer, 1975-2008, featuring cancers associated with excess weight and lack of sufficient physical activity. Cancer. 2012;118:2338–2366. doi: 10.1002/cncr.27514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.American Cancer Society. Cancer Facts & Figures 2012. Atlanta, GA: American Cancer Society; 2012. [Google Scholar]
  • 3.Doll R, Peto R. The causes of cancer: Quantitative estimates of avoidable risks of cancer in the United States today. J Natl Cancer Inst. 1981;66:1191–1308. [PubMed] [Google Scholar]
  • 4.Willett WC. Diet, nutrition, and avoidable cancer. Environ Health Perspect. 1995;103(suppl 8):165–170. doi: 10.1289/ehp.95103s8165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Platz EA, Willett WC, Colditz GA, et al. Proportion of colon cancer risk that might be preventable in a cohort of middle-aged US men. Cancer Causes Control. 2000;11:579–588. doi: 10.1023/a:1008999232442. [DOI] [PubMed] [Google Scholar]
  • 6.Fearon ER, Vogelstein B. A genetic model for colorectal tumorigenesis. Cell. 1990;61:759–767. doi: 10.1016/0092-8674(90)90186-i. [DOI] [PubMed] [Google Scholar]
  • 7.Atkins WS, Edward R, Kralj-Hans I, et al. Once-only flexible sigmoidoscopy screening in prevention of colorectal cancer: A multicentre randomized controlled trial. Lancet. 2010;375:1624–1633. doi: 10.1016/S0140-6736(10)60551-X. [DOI] [PubMed] [Google Scholar]
  • 8.Segnan N, Armaroli P, Bonelli L, et al. Once-only sigmoidoscopy in colorectal cancer screening: Follow-up findings of the Italian Randomized Controlled Trial—SCORE. J Natl Cancer Inst. 2011;103:1310–1322. doi: 10.1093/jnci/djr284. [DOI] [PubMed] [Google Scholar]
  • 9.Schoen RE, Pinsky PF, Weissfeld JL, et al. Colorectal-cancer incidence and mortality with screening flexible sigmoidoscopy. N Engl J Med. 2012;366:2345–2357. doi: 10.1056/NEJMoa1114635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Chan AT, Arber N, Burn J, et al. Aspirin in the chemoprevention of colorectal neoplasia: An overview. Cancer Prev Res (Phila) 2012;5:164–178. doi: 10.1158/1940-6207.CAPR-11-0391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Xu X, Yu E, Gao X, et al. Red and processed meat intake and risk of colorectal adenomas: A meta-analysis of observational studies. Int J Cancer. 2012;132:437–448. doi: 10.1002/ijc.27625. [DOI] [PubMed] [Google Scholar]
  • 12.Cole BF, Baron JA, Sandler RS, et al. Folic acid from the prevention of colorectal adenomas: A randomized clinical trial. JAMA. 2007;297:2351–2359. doi: 10.1001/jama.297.21.2351. [DOI] [PubMed] [Google Scholar]
  • 13.Liang PS, Chen TY, Giovannucci E. Cigarette smoking and colorectal cancer incidence and mortality: Systematic review and meta-analysis. Int J Cancer. 2009;124:2406–2415. doi: 10.1002/ijc.24191. [DOI] [PubMed] [Google Scholar]
  • 14.Wei EK, Wolin KY, Colditz GA. Time course of risk factors in cancer etiology and progression. J Clin Oncol. 2010;28:4052–4057. doi: 10.1200/JCO.2009.26.9324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Moghaddam AA, Woodward M, Huxley R. Obesity and risk of colorectal cancer: A meta-analysis of 31 studies with 70,000 events. Cancer Epidemiology Biomarkers Prev. 2007;16:2533–2547. doi: 10.1158/1055-9965.EPI-07-0708. [DOI] [PubMed] [Google Scholar]
  • 16.Ning Y, Wang L, Giovannucci EL. A quantitative analysis of body mass index and colorectal cancer: Findings from 56 observational studies. Obes Rev. 2010;11:19–30. doi: 10.1111/j.1467-789X.2009.00613.x. [DOI] [PubMed] [Google Scholar]
  • 17.Okabayashi K, Ashrafian H, Hasegawa H, et al. Body mass index category as a risk factor for colorectal adenomas: A systematic review and meta-analysis. Am J Gastroenterol. 2012;107:1175–1185. doi: 10.1038/ajg.2012.180. [DOI] [PubMed] [Google Scholar]
  • 18.Jacobs ET, Martínez ME, Alberts DS, et al. Association between body size and colorectal adenoma recurrence. Clin Gastroenterol Hepatol. 2007;5:982–990. doi: 10.1016/j.cgh.2007.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Jacobs ET, Ahnen DJ, Ashbeck EL, et al. Association between body mass index and colorectal neoplasia at follow-up colonoscopy: A pooling study. Am J Epidemiol. 2009;169:657–666. doi: 10.1093/aje/kwn401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Prorak PC, Andriole GL, Bresalier RS, et al. Design of the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Control Clin Trials. 2000;21:273S–309S. doi: 10.1016/s0197-2456(00)00098-2. [DOI] [PubMed] [Google Scholar]
  • 21.National Cancer Institute. Prostate, Lung, Colorectal, and Ovarian Screening Trial Dietary Questionnaire. http://prevention.cancer.gov/files/programs-resources/dqx.pdf.
  • 22.Ferrucci LM, Sinha R, Huang WY, et al. Meat consumption and the risk of incident distal colon and rectal adenoma. Br J Cancer. 2012;106:608–616. doi: 10.1038/bjc.2011.549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pinsky PF, Schoen RE, Weissfeld JL, et al. The yield of surveillance colonoscopy by adenoma history and time to examination. Clin Gastroenterol Hepatol. 2009;7:86–92. doi: 10.1016/j.cgh.2008.07.014. [DOI] [PubMed] [Google Scholar]
  • 24.World Health Organization. Physical Status: The Use and Interpretation of Anthropometry, Report of the WHO Expert Committee (WHO Technical Report Series, No. 854) Geneva, Switzerland: World Health Organization; 1995. [PubMed] [Google Scholar]
  • 25.Moore LL, Bradlee ML, Singer MR, et al. BMI and waist circumference as predictors of lifetime colon cancer risk in Framingham Study adults. Int J Obes Relat Metab Disord. 2004;28:559–567. doi: 10.1038/sj.ijo.0802606. [DOI] [PubMed] [Google Scholar]
  • 26.Wei EK, Giovannucci E, Wu K, et al. Comparison of risk factors for colon and rectal cancer. Int J Cancer. 2004;108:433–442. doi: 10.1002/ijc.11540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rapp K, Schroeder J, Klenk J, et al. Obesity and incidence of cancer: A large cohort study of over 145,000 adults in Austria. Br J Cancer. 2005;93:1062–1067. doi: 10.1038/sj.bjc.6602819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Otani T, Iwasaki M, Inoue M, et al. Body mass index, body height, and subsequent risk of colorectal cancer in middle-aged and elderly Japanese men and women: Japan public health center-based prospective study. Cancer Causes Control. 2005;16:839–850. doi: 10.1007/s10552-005-4573-z. [DOI] [PubMed] [Google Scholar]
  • 29.Engeland A, Tretli S, Austad G, et al. Height and body mass index in relation to colorectal and gallbladder cancer in two million Norwegian men and women. Cancer Causes Control. 2005;16:987–996. doi: 10.1007/s10552-005-3638-3. [DOI] [PubMed] [Google Scholar]
  • 30.Ahmed RL, Schmitz KH, Anderson KE, et al. The metabolic syndrome and risk of incident colorectal cancer. Cancer. 2006;107:28–36. doi: 10.1002/cncr.21950. [DOI] [PubMed] [Google Scholar]
  • 31.Laake I, Thune I, Selmer R, et al. A prospective study of body mass index, weight change, and risk of cancer in the proximal and distal colon. Cancer Epidemiol Biomarkers Prev. 2010;19:1511–1522. doi: 10.1158/1055-9965.EPI-09-0813. [DOI] [PubMed] [Google Scholar]
  • 32.Matsuo K, Mizoue T, Tanaka K, et al. Association between body mass index and the colorectal cancer risk in Japan: Pooled analysis of population-based cohort studies in Japan. Ann Oncol. 2012;23:479–490. doi: 10.1093/annonc/mdr143. [DOI] [PubMed] [Google Scholar]
  • 33.Giovannucci E, Ascherio A, Rimm EB, et al. Physical activity, obesity, and risk for colon cancer and adenoma in men. Ann Intern Med. 1995;122:327–334. doi: 10.7326/0003-4819-122-5-199503010-00002. [DOI] [PubMed] [Google Scholar]
  • 34.Giovannucci E, Colditz GA, Stampfer MJ, et al. Physical activity, obesity, and risk of colorectal adenoma in women (United States) Cancer Causes Control. 1996;7:253–263. doi: 10.1007/BF00051301. [DOI] [PubMed] [Google Scholar]
  • 35.Boutron-Ruault MC, Senesse P, Méance S, et al. Energy intake, body mass index, physical activity, and the colorectal adenoma-carcinoma sequence. Nutr Cancer. 2001;39:50–57. doi: 10.1207/S15327914nc391_7. [DOI] [PubMed] [Google Scholar]
  • 36.Roberts DL, Dive C, Renehan AG. Biological mechanisms linking obesity and cancer risk: New perspectives. Annu Rev Med. 2010;61:301–316. doi: 10.1146/annurev.med.080708.082713. [DOI] [PubMed] [Google Scholar]
  • 37.Lin JH, Giovannucci E. Sex hormones and colorectal cancer: What have we learned so far? J Natl Cancer Inst. 2010;102:1746–1747. doi: 10.1093/jnci/djq444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wolf LA, Terry PD, Potter JD, et al. Do factors related to endogenous and exogenous estrogens modify the relationship between obesity and risk of colorectal adenomas in women? Cancer Epidemiol Biomarkers Prev. 2007;16:676–683. doi: 10.1158/1055-9965.EPI-06-0883. [DOI] [PubMed] [Google Scholar]
  • 39.Karastergiou K, Smith SR, Greenberg AS, et al. Sex differences in human adipose tissues-the biology of pear shape. Biol Sex Differ. 2012;3:13. doi: 10.1186/2042-6410-3-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Chan JM, Rimm EB, Colditz GA, et al. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care. 1994;17:961–969. doi: 10.2337/diacare.17.9.961. [DOI] [PubMed] [Google Scholar]
  • 41.Carey VJ, Walters EE, Colditz GA, et al. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women: The Nurses' Health Study. Am J Epidemiol. 1997;145:614–619. doi: 10.1093/oxfordjournals.aje.a009158. [DOI] [PubMed] [Google Scholar]
  • 42.Canoy D, Boekholdt SM, Wareham N, et al. Body fat distribution and risk of coronary heart disease in men and women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk cohort: A population-based prospective study. Circulation. 2007;116:2933–2943. doi: 10.1161/CIRCULATIONAHA.106.673756. [DOI] [PubMed] [Google Scholar]
  • 43.Pischon T, Lahmann PH, Boeing H, et al. Body size and risk of colon and rectal cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC) J Natl Cancer Inst. 2006;98:920–931. doi: 10.1093/jnci/djj246. [DOI] [PubMed] [Google Scholar]
  • 44.Ben Q, An W, Jiang Y, et al. Body mass index increases risk for colorectal adenomas based on meta-analysis. Gastroenterology. 2012;142:762–772. doi: 10.1053/j.gastro.2011.12.050. [DOI] [PubMed] [Google Scholar]
  • 45.Morois S, Mesrine S, Josset M, et al. Anthropometric factors in adulthood and risk of colorectal adenomas: The French E3N-EPIC prospective cohort. Am J Epidemiol. 2010;172:1166–1180. doi: 10.1093/aje/kwq258. [DOI] [PubMed] [Google Scholar]
  • 46.Terry MB, Neugut AI, Bostick RM, et al. Risk factors for advanced colorectal adenomas: A pooled analysis. Cancer Epidemiol Biomarkers Prev. 2002;11:622–629. [PubMed] [Google Scholar]
  • 47.Hursting SD, Berger NA. Energy balance, host-related factors, and cancer progression. J Clin Oncol. 2010;28:4058–4065. doi: 10.1200/JCO.2010.27.9935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Maruther NM, Bolen S, Gudzune K, et al. Body mass index and colon cancer screening: A systematic review and meta-analysis. Cancer Epidemiol Biomarkers Prev. 2012;21:737–746. doi: 10.1158/1055-9965.EPI-11-0826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Pinsky PF, Miller A, Kramer BS, et al. Evidence of a healthy volunteer effect in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Am J Epidemiol. 2007;165:874–881. doi: 10.1093/aje/kwk075. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical Oncology are provided here courtesy of American Society of Clinical Oncology

RESOURCES