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Cancer Res. Author manuscript; available in PMC Nov 15, 2009.
Published in final edited form as:
PMCID: PMC2597051
NIHMSID: NIHMS70557
A Prospective Study of Meat and Fat Intake in Relation to Small Intestinal Cancer
Amanda J Cross,1 Michael F Leitzmann,1 Amy F Subar,2 Frances E Thompson,2 Albert R Hollenbeck,3 and Arthur Schatzkin1
1 Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Rockville, MD, USA
2 Risk Factor Methods and Monitoring Branch, Applied Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, DHHS
3 AARP, Washington DC, USA
Corresponding author: Amanda J. Cross, 6120 Executive Blvd, Rockville, MD, 20852, U.S.A (email: crossa/at/mail.nih.gov; Tel: +1-301-496-4378; Fax: +1-301-496-6829)
Background
Diets high in red and processed meats are associated with carcinogenesis of the large intestine, but no prospective study has examined meat and fat intake in relation to cancer of the small intestine. We prospectively investigated meat and fat intakes, estimated from a food frequency questionnaire, in relation to small intestinal cancer among half a million men and women enrolled in the NIH-AARP Diet and Health study.
Methods
We used Cox proportional hazards regression to estimate hazard ratios (HR) and 95% confidence intervals (CI).
Results
During up to 8 years of follow-up, 60 adenocarcinomas and 80 carcinoid tumors of the small intestine were diagnosed. Despite slightly elevated HRs for red meat, there were no clear associations for red or processed meat intake and either adenocarcinoma or carcinoid tumors of the small intestine. In contrast, we noted a markedly elevated risk for carcinoid tumors of the small intestine with saturated fat intake in both the categorical (highest versus lowest tertile: HR = 3.18, 95% CI: 1.62–6.25) and continuous data (HR = 3.72, 95% CI: 1.79–7.74 for each 10 gram increase in intake per 1000 kcals).
Conclusions
Our findings suggest that the positive associations for meat intake reported in previous case-control studies may partly be explained by saturated fat intake.
Keywords: Meat, fat, cancer, diet, small intestine, carcinoids, adenocarcinomas
Despite substantial global variation, very little is known about risk factors for small intestinal cancer. The age-standardized incidence rates for this malignancy range from less than 0.5 per 100,000 in some regions of Africa and Asia to 3.7 in certain areas of the U.S.1, where rates have been increasing since the 1970s2. In addition, individuals with cancer of the small intestine have a three times higher risk of developing colorectal cancer, as well as a 68% increased risk of subsequently developing any second primary cancer3.
Of the limited number of epidemiologic investigations of lifestyle factors and small intestinal cancer, smoking and alcohol have been positively associated with this malignancy in some4, 5 but not all6, 7 studies. Data for dietary exposures and small intestinal cancer are restricted to a few case-control studies, all of which have found elevated risks associated with red and processed meat intake57; although case-control studies are subject to recall bias8. Meat is also a source of fat intake, particularly saturated fat, and although there have been many investigations of fat intake and other cancer sites, none of the published studies of small intestinal cancer reported on fat. No prospective study has examined meat or fat intake in relation to cancer of the small intestine. The aim of this study was to prospectively examine whether meat or fat intake elevated the risk for cancer of the small intestine in a cohort of approximately half a million men and women, a study large enough to yield a sufficient number of cases for analysis.
Study Population
The National Institutes of Health (NIH)-AARP (formerly known as the American Association for Retired Persons) Diet and Health Study is a large prospective cohort of men and women, aged 50 to 71 years, from six states in the United States (California, Florida, Louisiana, New Jersey, North Carolina, and Pennsylvania) and two metropolitan areas (Atlanta, Georgia, and Detroit, Michigan). Recruitment began in 1995 when a self-administered questionnaire was mailed to 3.5 million members of AARP. Details of the cohort have been described elsewhere9,10. The NIH-AARP Diet and Health Study was approved by the Special Studies Institutional Review Board of the National Cancer Institute (NCI), and written informed consent was obtained from all participants by virtue of completing the baseline questionnaire.
Dietary Assessment
A 124-item food frequency questionnaire (FFQ), based on the NCI’s Diet History Questionnaire, was completed at baseline. The FFQ assessed usual frequency of consumption and portion size information of foods and drinks over the previous twelve months. Portion sizes and nutrient intakes were calculated from the 1994–1996 United States Department of Agriculture’s Continuing Survey of Food Intake by Individuals11 based on three categories (<25th, 25th–75th and >75th percentile) of the portion size distribution for food groups consistent with line items on the FFQ. The FFQ was validated within this study population against two 24-hour recall interviews10; the energy-adjusted correlation coefficients for saturated fat were 0.76 and 0.69 for men and women respectively12 and for red meat were 0.62 for men and 0.70 for women10. The meat variables were based on frequency of consumption and portion size information. The red meat variable included all types of beef and pork. Processed meat included both red and white meat sources of bacon, sausage, luncheon meats, cold cuts, ham, and hotdogs. The meat variables also included meats added to complex food mixtures, such as pizza, chili, lasagna, and stew. We investigated total fat, as well as sub-groups of saturated, monounsaturated and polyunsaturated fats. Furthermore, we investigated the fat source; for example, the contribution to total fat from red meat, white meat, dairy, eggs, margarine/oils, butter and other. Fruit and vegetable intake was based on the US Department of Agriculture’s Pyramid Servings guidance system, which incorporates frequency of consumption, portion size and components of mixed dishes13.
Cohort Follow-up and Case Ascertainment
Cohort members are followed annually for change of address using the U.S. Postal Service, and vital status is ascertained by annual linkage to the U.S. Social Security Administration Death Master File. Follow-up for these analyses was calculated from baseline (1995–1996) until censoring at the end of 2003, or when the participant moved out of one of the study areas, had a cancer diagnosis, or died, whichever came first. Cancer cases were identified by linkage to state cancer registries and the National Death Index (NDI). The eight state cancer registry databases are estimated to be 95% complete within two years of cancer incidence and are certified by the North American Association of Central Cancer Registries for meeting the highest standard of data quality, capturing approximately 90% of cancer cases9. Beyond the eight original states of our cohort, our cancer registry ascertainment area was recently expanded to include three additional states (Texas, Arizona, and Nevada) where participants have most commonly moved to during follow-up.
Small intestine cancers were defined as first primary cancers by the following international classification of diseases (ICD) codes: ICD-O-3 codes C170–C179, ICD-9 code 152 (which includes codes 152.0, 152.1, 152.2, 152.3, 152.8, 152.9) or ICD-10 code C17 (which includes codes C17.0, C17.1, C17.2, C17.3, C17.8, C17.9)14. Since risk factors may differ according to histologic type, as has been suggested for the relations with tobacco and alcohol15, we analyzed the data according to the two main histologic subtypes of adenocarcinomas and carcinoid tumors using data provided by the cancer registries.
Statistical Analysis
A total of 567,169 persons returned the baseline questionnaire and were available for analysis10. We excluded those who died before the baseline questionnaire was received and processed (n = 261), had zero person years of follow-up (n = 9), moved out of the study areas before returning the questionnaire (n = 321), requested to be withdrawn (n = 6), had prevalent cancer (n = 51,193) or end-stage renal disease (n = 997) at baseline, had duplicate records (n = 179), had extreme (more than two inter-quartile ranges above the 75th or below the 25th percentile on the logarithmic scale) daily energy intake (n = 4,381), as well as those whose questionnaire was completed by someone else on their behalf (n = 15,760). After exclusions, our analytic cohort consisted of 294,707 men and 199,293 women.
Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression with age as the underlying time metric. We created addition models for meat, with all variables in each model adding up to total meat; for example, the red meat model also contained white meat and the processed meat model also contained non-processed meat. The sources of monounsaturated and saturated fats are similar, and due to collinearity, we did not mutually adjust the fat sub-types.
Parsimonious (age, gender and calories) and multivariable adjusted HRs are reported within tertiles, using the lowest tertile as the referent category, as well as for continuous data (per 10 gram increase per 1000 kcals). Tests for linear trend within the categorical data were calculated using the median value of each tertile. All reported P values are two-sided. Little is known about risk factors for small intestinal cancer; however, we examined variables that have been shown to confound the association between meat or fat and other gastrointestinal cancers. The covariates included in the multivariable models included person years, gender, education, marital status, family history of cancer, race, body mass index (BMI), smoking, frequency of vigorous physical activity (defined as activities at work or home that lasted at least 20 minutes and caused an increase in breathing or heart rate or worked up a sweat), and intakes of energy, alcohol, fruits and vegetables. Missing data were minimal for this study; for smoking, BMI and education, we created ‘missing’ categories; but for family history of cancer, marital status and physical activity we set individuals missing this data to zero – i.e. no family history, not married or not physically active. We examined models adjusted for energy by the multivariable nutrient density method, as well as the residual energy adjustment method8; both methods gave similar results, here we report the results using the nutrient density method.
To test for heterogeneity between the histologic sub-types, we used a chi-square test with one degree of freedom. We first calculated the weighted average of the 2 beta coefficients from the Cox model, with weights being proportional to the inverse of the variances. Then we calculated the following chi-square statistic equation M1; where [beta] and σi2 are the coefficient and its variance for each sub-type, and [beta with macron above]is the weighted average of the beta coefficients.
Inclusion of a quadratic term for age or dietary variables did not improve the fit of the model. The assumption of constant risk for proportional hazards was verified using an age interaction model. Interactions were evaluated by including cross product terms in multivariable models. We conducted a lag-analysis excluding the first one or two years of follow-up to evaluate the possibility of reverse causation. All statistical analyses were carried out using Statistical Analytic Systems (SAS) software (SAS institute Inc, Cary, NC).
During a median follow-up time of 7.5 years, a total of 165 small intestinal cancers were diagnosed (111 male cases and 54 female cases). The cases comprised of 60 adenocarcinomas (45 male and 15 female) and 80 carcinoid tumors (50 male and 30 female); the remaining 25 cases were excluded from this analysis since they were a mixture of histologically not otherwise specified (n = 13), sarcomas (n = 10), one mesothelioma and one nerve sheath tumor. Regarding sub-sites within the small intestine, adenocarcinomas occurred most frequently in the duodenum and jejunum, and carcinoid tumors were mainly located in the ileum.
In general, individuals in the highest tertile of red meat or saturated fat intake were more likely to be white, to be current smokers, and to have a higher BMI and energy intake than those in the lowest tertile. In contrast, those in the highest tertile of red meat or saturated fat tended to be less educated and less likely to consume fruits, vegetables and alcohol than those in the lowest tertile (Table 1).
Table 1
Table 1
Means and proportions for baseline characteristics of the NIH-AARP Diet and Health Study cohort (n = 494,000) by tertiles of red meat and saturated fat
Although the HRs were elevated for red meat and the risk of both adenocarcinomas and carcinoids, the confidence intervals were very wide and not statistically significant (Table 2). With regard to processed meat, there was no association for either adenocarcinoma or carcinoids of the small intestine. Furthermore, splitting processed meats into those derived from red or white meats did not reveal any associations for small intestinal cancer (data not shown).
Table 2
Table 2
Multivariable hazard ratios and 95% confidence intervals (both genders combined) for small intestinal cancer in the NIH-AARP Diet and Health Study
The energy-adjusted correlation between red meat and total fat (r = 0.50) was essentially the same as the correlation between red meat and saturated fat (r = 0.49). Individuals in the highest, compared with the lowest tertile of total fat intake had an elevated risk of carcinoid tumors of the small intestine (HR = 2.16, 95% CI: 1.10–4.25; Ptrend = 0.03), and a suggestion of an elevated risk in the continuous data (HR = 1.32, 95% CI: 0.96–1.82, per 10 gram increase) (Table 2).
An investigation by sub-groups of fat revealed that individuals in the highest, compared with those in the lowest, tertile of saturated fat intake had an increased risk of carcinoid tumors of the small intestine (HR = 3.18, 95% CI: 1.62–6.25; Ptrend = 0.0008); this risk was also evident in the continuous data (HR = 3.72, 95% CI: 1.79–7.74) (Table 2). Although the HR for adenocarcinoma of the small intestine was elevated for the top tertile of saturated fat intake, the risk was not statistically significant. However, the risk difference for saturated fat intake between the two histologic sub-types was not statistically significant (Pheterogeneity = 0.29). Neither monounsaturated nor polyunsaturated fat intakes were statistically significantly associated with small intestinal cancer, although the HRs for adenocarcinoma were elevated for polyunsaturated fat intake in both the second and third tertiles.
Although we had limited statistical power, we were able to examine the association between the major food groups contributing to total fat intake and small intestinal cancer on the continuous scale (per 10 gram increase). The risk for carcinoid tumors was the highest for fat from dairy products (HR = 3.64, 95% CI: 1.94–6.83; Ptrend <0.0001), and was also elevated, but not statistically significant, for fat from red meat (HR = 1.65, 95% CI: 0.83–3.28; Ptrend = 0.16).
In a lag analyses of the continuous data, the positive association for saturated fat intake and carcinoid tumors of the small intestinal cancer remained if we excluded the first year of follow-up (n = 72 cases: HR = 3.69, 95% CI: 1.70–7.99) or the first two years (n = 65 cases: HR = 3.36, 95% CI: 1.47–7.68). The variables confounding the fat association the most were smoking and fruit intake. The interaction analyses of saturated fat with smoking (Pinteraction = 0.80) and fruit (Pinteraction = 0.45) were not statistically significant.
In a sensitivity analysis, we additionally adjusted the multivariable saturated fat model for red meat intake. The risks for carcinoid tumors for those in the highest, compared to the lowest, tertile of saturated fat remained (HR = 3.27, 95% CI: 1.60–6.67; Ptrend < 0.001). Furthermore, using residual energy adjustment did not change the risk estimates for carcinoid tumors and intake of red meat (HR for the third versus first tertile = 1.46, 95% CI: 0.78–2.71; Ptrend = 0.36) or saturated fat (HR = 3.04, 95% CI: 1.59–5.83; Ptrend = 0.0006).
We conducted an exploratory analysis by gender, but only in the continuous data due to small case numbers. The risk of carcinoid tumors was elevated in both women (HR = 3.83, 95% CI: 1.23–12.0; Ptrend = 0.02) and men (HR = 3.56, 95% CI: 1.35–9.38; Ptrend = 0.01) per 10 gram increase in saturated fat. There were too few small intestinal adenocarcinomas in women (n = 15) to report on this histologic sub-type by gender.
There were an additional 13 cases of carcinoid tumors and 4 cases of adenocarcinoma of the small intestine that occurred after a separate diagnosis of cancer at a different site during follow-up. These cases were excluded from our primary analysis because the presence of the first cancer may have prompted a dietary change, which may mask any associations between diet and small intestinal cancer. When we included these cases in a sensitivity analysis, the positive association for saturated fat intake and carcinoid tumors remained (n = 93; HR = 2.59, 95% CI: 1.39–4.84; Ptrend = 0.003 for the third versus first tertile; HR = 2.64, 95% CI: 1.31–5.29 for the continuous data).
This study reports a positive association between saturated fat intake and carcinoid tumors of the small intestine. Small intestinal cancer arises from various cell types, approximately 35% tend to be carcinoids, 30–40% adenocarcinomas, 15–20% lymphomas and 10–15% sarcomas16. In agreement with previous findings from case-control studies17, the cases in this prospective study were mainly adenocarcinomas of the duodenum and jejunum and carcinoids of the ileum. Previous studies have suggested that risk factors for this malignancy may differ according to histologic sub-type15, yet no previous dietary study has had the power to investigate risks within the sub-type of incident carcinoid tumors.
The association between meat intake and cancer has been investigated for various anatomic sites, with the majority of studies focusing on sub-sites within the gastrointestinal tract. The evidence supporting red meat and processed meat as risk factors for colorectal cancer is increasingly consistent18. Furthermore, meat intake has been positively associated with cancers of the esophagus19, 20 and stomach19. With regard to cancer of the small intestine, very little epidemiologic research and no prospective study has addressed this association; the few case-control studies that have investigated this malignancy have found elevated risks for red and processed meat intake57.
Several supportive mechanisms indicate that meat may have deleterious effects on the gastrointestinal tract. Meat is a source of several known multi-site mutagens, including heterocyclic amines21, polycyclic aromatic hydrocarbons22, and N-nitroso compounds23, 24. All of these meat-related mutagens have been associated with gastrointestinal cancers, including colorectal18, 25 and esophageal cancer26, 27. However, we did not find a clear positive association for red or processed meat intake and small intestinal cancer risk in our study.
There are multiple factors that could explain the discrepancy between the findings for red and processed meat intake in previous epidemiologic studies and this study. The previous studies were vulnerable to reporting bias due to their case-control design, where diet was assessed after diagnosis, and one of the studies relied on data obtained from the next-of-kin6. Furthermore, compared to our study, diet was more crudely assessed in the previous studies, with one study only asking about 5 food groups6, another about 10 food groups5, and the third using either a 34-item or 78-item questionnaire7. Although two of the previous studies were also in American populations, one of these was a study of small intestinal cancer mortality (with no data on histologic subtype)6 and the other study was only of adenocarcinomas of the small intestine5. The third study was in an Italian population and also only addressed adenocarcinomas of the small intestine7. Furthermore, the previous studies did not extensively investigate potential confounding variables and presented models simply adjusted for age6, or age, sex and race5 or age, sex, study, center and BMI7, whereas we adjusted our models for a range of variables known to confound the association between diet and colorectal cancer.
A possible explanation of the previous findings from case-control studies regarding meat and small intestinal cancer may be due to the contribution of red and processed meats to fat intake. Of the few epidemiologic studies to investigate diet and cancer of the small intestine, none reported on fat intake. Fat intake has been linked to multiple gastrointestinal cancers, including cancers of the colon28, 29 and the esophagus30. In our study, there was a clear positive association between saturated fat intake and carcinoid tumors of the small intestine, in addition to a suggestive elevation in risk for adenocarcinoma with polyunsaturated fat intake, but no association for monounsaturated fat. A summary of the epidemiologic literature on saturated fat and colorectal cancer, however, reported that there is limited evidence to support an association; although a meta-analysis of cohort data revealed a non-significant increased risk for intake of animal fat31.
Laboratory investigations have reported an increased number of tumors and larger tumors in the small intestine of rodents fed a high fat diet32. A potential mechanism relating fat intake to carcinogenesis is the production of bile acids from cholesterol, which are secreted into the small intestine in order to digest fat. Bile acids are thought to induce DNA damage via the production of reactive oxygen species33, and have been positively associated with tumors of the small intestine in animal models34. With regard to polyunsaturated fats, for which we observed an elevated HR for adenocarcinomas, there is some evidence that omega-6 fatty acids may be linked with pro-inflammatory pathways in colorectal carcinogenesis via prostaglandin synthesis from arachidonic acid metabolism35.
Identifying modifiable risk factors for small intestinal cancer is important not only because the incidence of this cancer is on the rise, but it may enable us to further understand other gastrointestinal malignancies. Furthermore, individuals diagnosed with small intestinal cancer are subsequently at higher risk for developing other malignancies. A pooled analysis using data from thirteen cancer registries reported a 68% higher risk of a second primary cancer in individuals diagnosed with small intestinal cancer, and over three times the risk of having colon or rectal cancer3. There is some evidence to suggest that adenocarcinomas of the small and large bowel both arise from adenomatous polyp precursor lesions, suggesting the adenoma-carcinoma sequence is relevant to both sites36; yet, for unknown reasons, the large intestine is more susceptible to malignant transformation. Identifying risk factors that are unique as well as those that are similar for the two sites may aid our understanding of the comparative resistance of the small intestine to carcinogenesis.
The principal strengths of our study include the size of the cohort, which enabled us to conduct the first prospective study of dietary factors and small intestinal cancer, and resulted in a wide range of reported meat and fat intake. Recall bias and reverse causation were minimized in this study by the assessment of diet prior to the diagnosis of cancer. Potential limitations include a lack of data on non-steroidal anti-inflammatory drug use from baseline; however, although regular use confers a reduced risk for colorectal cancer37, 38, there is no established association with small intestinal cancer in individuals without inflammatory conditions. Furthermore, the observed risk estimates could potentially be unstable as a result of a relatively small sample size, as well as some degree of measurement error associated with the assessment of dietary and lifestyle variables. Although we attempted to minimize this measurement error, which usually results in attenuated risks39, by energy adjustment of the models40, we cannot exclude the possibility that some error remains. The associations identified in this study should be considered exploratory and need to be further investigated in a study with a larger number of cases by pooling existing studies with relevant data.
In conclusion, we report the first prospectively collected data on diet and cancer of the small intestine. We observed a positive association between saturated fat intake and carcinoid tumors of the small intestine.
Acknowledgments
The authors would like to thank the participants in the NIH-AARP Diet and Health Study for their outstanding cooperation.
Funding/Support: This research was supported [in part] by the Intramural Research Program of the National Cancer Institute, National Institutes of Health, Department of Health and Human Services. 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.
Abbreviations
AARPformerly known as the American Association for Retired Persons
CIconfidence interval
FFQfood frequency questionnaire
HRhazard ratio

Footnotes
Author Contributions: A J Cross was responsible for the conception and design of this study, had full access to the data and takes responsibility for the integrity of the data, the accuracy of the data analysis and interpretation of the data. M F Leitzmann helped with the interpretation of data and revisions of the report. A F Subar, F E Thompson and A R Hollenbeck helped with the acquisition of data and revisions of the report. A Schatzkin was responsible for the conception and design of the NIH-AARP Diet and Health study, the acquisition of funding and data, the interpretation of data and revisions of the report. All authors have given full approval to the final manuscript.
Financial Disclosures: The authors report no conflicts of interest.
1. Parkin DM, Whelan SL, Ferlay J, Teppo DB. Cancer Incidence in Five Continents. VIII. IARC Scirntific Publications; 2002.
2. Ries LAG, Harkins D, Krapcho M, Mariotto A, Miller BA, Feuer EJ, Clegg L, Eisner MP, Horner MJ, Howlader N, Hayat M, Hankey BF, Edwards BK. SEER Cancer Statistics Review, 1975–2003. National Cancer Institute; 2006. http://seer.cancer.gov/csr/1975_2003/
3. Scelo G, Boffetta P, Hemminki K, Pukkala E, Olsen JH, Andersen A, Tracey E, Brewster DH, McBride ML, Kliewer EV, Tonita JM, Pompe-Kirn V, Chia KS, Jonasson JG, Martos C, Colin D, Brennan P. Associations between small intestine cancer and other primary cancers: an international population-based study. Int J Cancer. 2006;118:189–96. [PubMed]
4. Chen CC, Neugut AI, Rotterdam H. Risk factors for adenocarcinomas and malignant carcinoids of the small intestine: preliminary findings. Cancer Epidemiol Biomarkers Prev. 1994;3:205–7. [PubMed]
5. Wu AH, Yu MC, Mack TM. Smoking, alcohol use, dietary factors and risk of small intestinal adenocarcinoma. Int J Cancer. 1997;70:512–7. [PubMed]
6. Chow WH, Linet MS, McLaughlin JK, Hsing AW, Chien HT, Blot WJ. Risk factors for small intestine cancer. Cancer Causes Control. 1993;4:163–9. [PubMed]
7. Negri E, Bosetti C, La Vecchia C, Fioretti F, Conti E, Franceschi S. Risk factors for adenocarcinoma of the small intestine. Int J Cancer. 1999;82:171–4. [PubMed]
8. Willett WC. Nutritional Epidemiology. Oxford University Press; 1998.
9. Michaud DS, Midthune D, Hermansen S, Leitzmann MF, Harlan LC, Kipnis V, et al. Comparison of cancer registry case ascertainment with SEER estimates and self-reporting in a subset of the NIH-AARP Diet and Health Study. Journal of Registry Management. 2005;32:70–7.
10. Schatzkin A, Subar AF, Thompson FE, Harlan LC, Tangrea J, Hollenbeck AR, Hurwitz PE, Coyle L, Schussler N, Michaud DS, Freedman LS, Brown CC, Midthune D, Kipnis V. 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. [PubMed]
11. Subar AF, Midthune D, Kulldorff M, Brown CC, Thompson FE, Kipnis V, Schatzkin A. Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires. Am J Epidemiol. 2000;152:279–86. [PubMed]
12. Thompson FE, Kipnis V, Midthune D, Freedman LS, Carroll RJ, Subar AF, Brown CC, Butcher MS, Mouw T, Leitzmann MF, Schatzkin A. Performance of a food-frequency questionnaire in the US NIH-AARP (National Institutes of Health-American Association of Retired Persons) Diet and Health study. Public Health Nutr. 2007 epub. [PubMed]
13. U.S. Department of Agriculture. The food guide pyramid. Home and Garden Bulletin No. 252. Washington, DC: GPO; 1992.
14. International Classification of Diseases for Oncology. 3. 2000.
15. Kaerlev L, Teglbjaerg PS, Sabroe S, Kolstad HA, Ahrens W, Eriksson M, Guenel P, Hardell L, Launoy G, Merler E, Merletti F, Stang A, Olsen J. Is there an association between alcohol intake or smoking and small bowel adenocarcinoma? Results from a European multi-center case-control study. Cancer Causes Control. 2000;11:791–7. [PubMed]
16. Schottenfeld D, Fraumeni JF. Cancer Epidemiology and Prevention. Oxford University Press; 2006.
17. Neugut AI, Jacobson JS, Suh S, Mukherjee R, Arber N. The epidemiology of cancer of the small bowel. Cancer Epidemiol Biomarkers Prev. 1998;7:243–51. [PubMed]
18. Larsson SC, Wolk A. Meat consumption and risk of colorectal cancer: a meta-analysis of prospective studies. Int J Cancer. 2006;119:2657–64. [PubMed]
19. Gonzalez CA, Jakszyn P, Pera G, Agudo A, Bingham S, Palli D, Ferrari P, Boeing H, del Giudice G, Plebani M, Carneiro F, Nesi G, Berrino F, Sacerdote C, Tumino R, Panico S, Berglund G, Siman H, Nyren O, Hallmans G, Martinez C, Dorronsoro M, Barricarte A, Navarro C, Quiros JR, Allen N, Key TJ, Day NE, Linseisen J, Nagel G, Bergmann MM, Overvad K, Jensen MK, Tjonneland A, Olsen A, Bueno-de-Mesquita HB, Ocke M, Peeters PH, Numans ME, Clavel-Chapelon F, Boutron-Ruault MC, Trichopoulou A, Psaltopoulou T, Roukos D, Lund E, Hemon B, Kaaks R, Norat T, Riboli E. Meat intake and risk of stomach and esophageal adenocarcinoma within the European Prospective Investigation Into Cancer and Nutrition (EPIC) J Natl Cancer Inst. 2006;98:345–54. [PubMed]
20. Cross AJ, Leitzmann MF, Gail MH, Hollenbeck AR, Schatzkin A, Sinha R. A prospective study of red and processed meat intake in relation to cancer risk. PLoS Med. 2007;4:e325. [PMC free article] [PubMed]
21. Sinha R, Kulldorff M, Chow WH, Denobile J, Rothman N. Dietary intake of heterocyclic amines, meat-derived mutagenic activity, and risk of colorectal adenomas. Cancer Epidemiol Biomarkers Prev. 2001;10:559–62. [PubMed]
22. Sinha R, Kulldorff M, Gunter MJ, Strickland P, Rothman N. Dietary benzo[a]pyrene intake and risk of colorectal adenoma. Cancer Epidemiol Biomarkers Prev. 2005;14:2030–4. [PubMed]
23. Hughes R, Cross AJ, Pollock JR, Bingham S. Dose-dependent effect of dietary meat on endogenous colonic N- nitrosation. Carcinogenesis. 2001;22:199–202. [PubMed]
24. Mirvish SS, Haorah J, Zhou L, Clapper ML, Harrison KL, Povey AC. Total N-nitroso compounds and their precursors in hot dogs and in the gastrointestinal tract and feces of rats and mice: possible etiologic agents for colon cancer. J Nutr. 2002;132:3526S–3529S. [PubMed]
25. Knekt P, Jarvinen R, Dich J, Hakulinen T. Risk of colorectal and other gastro-intestinal cancers after exposure to nitrate, nitrite and N-nitroso compounds: a follow-up study. Int J Cancer. 1999;80:852–6. [PubMed]
26. Rogers MA, Vaughan TL, Davis S, Thomas DB. Consumption of nitrate, nitrite, and nitrosodimethylamine and the risk of upper aerodigestive tract cancer. Cancer Epidemiol Biomarkers Prev. 1995;4:29–36. [PubMed]
27. Lin K, Shen W, Shen Z, Wu Y, Lu S. Dietary exposure and urinary excretion of total N-nitroso compounds, nitrosamino acids and volatile nitrosamine in inhabitants of high- and low-risk areas for esophageal cancer in southern China. Int J Cancer. 2002;102:207–11. [PubMed]
28. Willett WC, Stampfer MJ, Colditz GA, Rosner BA, Speizer FE. Relation of meat, fat, and fiber intake to the risk of colon cancer in a prospective study among women. N Engl J Med. 1990;323:1664–72. [PubMed]
29. Hursting SD, Thornquist M, Henderson MM. Types of dietary fat and the incidence of cancer at five sites. Prev Med. 1990;19:242–53. [PubMed]
30. Mayne ST, Risch HA, Dubrow R, Chow WH, Gammon MD, Vaughan TL, Farrow DC, Schoenberg JB, Stanford JL, Ahsan H, West AB, Rotterdam H, Blot WJ, Fraumeni JF., Jr Nutrient intake and risk of subtypes of esophageal and gastric cancer. Cancer Epidemiol Biomarkers Prev. 2001;10:1055–62. [PubMed]
31. World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. 2007.
32. Wasan HS, Novelli M, Bee J, Bodmer WF. Dietary fat influences on polyp phenotype in multiple intestinal neoplasia mice. Proc Natl Acad Sci U S A. 1997;94:3308–13. [PubMed]
33. Bernstein H, Bernstein C, Payne CM, Dvorakova K, Garewal H. Bile acids as carcinogens in human gastrointestinal cancers. Mutat Res. 2005;589:47–65. [PubMed]
34. Mahmoud NN, Dannenberg AJ, Bilinski RT, Mestre JR, Chadburn A, Churchill M, Martucci C, Bertagnolli MM. Administration of an unconjugated bile acid increases duodenal tumors in a murine model of familial adenomatous polyposis. Carcinogenesis. 1999;20:299–303. [PubMed]
35. Calder PC. Polyunsaturated fatty acids, inflammatory processes and inflammatory bowel diseases. Mol Nutr Food Res. 2008 [PubMed]
36. Sellner F. Investigations on the significance of the adenoma-carcinoma sequence in the small bowel. Cancer. 1990;66:702–15. [PubMed]
37. Dube C, Rostom A, Lewin G, Tsertsvadze A, Barrowman N, Code C, Sampson M, Moher D. The use of aspirin for primary prevention of colorectal cancer: a systematic review prepared for the U.S. Preventive Services Task Force. Ann Intern Med. 2007;146:365–75. [PubMed]
38. Rostom A, Dube C, Lewin G, Tsertsvadze A, Barrowman N, Code C, Sampson M, Moher D. Nonsteroidal anti-inflammatory drugs and cyclooxygenase-2 inhibitors for primary prevention of colorectal cancer: a systematic review prepared for the U.S. Preventive Services Task Force. Ann Intern Med. 2007;146:376–89. [PubMed]
39. Freudenheim JL, Marshall JR. The problem of profound mismeasurement and the power of epidemiological studies of diet and cancer. Nutr Cancer. 1988;11:243–50. [PubMed]
40. Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, Bingham S, Schoeller DA, Schatzkin A, Carroll RJ. Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003;158:14–21. discussion 22-6. [PubMed]