Abstract
Background
Colorectal adenomas are benign lesions that may be precursors to colorectal cancer. No studies of African American women have investigated dietary patterns and the risk of colorectal adenomas. We examined data from the Black Women's Health Study (BWHS) to determine whether dietary patterns are associated with the risk of colorectal adenomas.
Methods
This is a prospective cohort study of 59,000 participants followed biennially since 1995. During 155,414 person-years of follow-up from 1997 to 2007 among women who had had at least one screening colonoscopy, 620 incident cases of colorectal adenomas were identified. Using Cox regression models, we obtained incident rate ratios (IRR) for colorectal adenoma in relation to quintiles of each of two dietary patterns, adjusting for other colorectal adenoma risk factors.
Results
Two dietary patterns, Western and prudent, were utilized to assess the association between dietary intake and adenoma risk. The highest quintile of prudent diet, relative to the lowest quintile, was significantly associated with 34% lower colorectal adenoma risk overall (incidence rate ratio, IRR=0.66; 95% CI, 0.50-0.88; p for trend, < 0.01). Higher scores on the Western pattern were associated with higher risk of colorectal adenoma (IRR = 1.42, 95% CI 1.09-1.85 for the highest quintile relative to the lowest; p trend, 0.01).
Conclusion
Our findings suggest that African American women may be able to reduce their risk of developing colorectal adenomas by following a prudent dietary pattern and avoiding a more Western pattern.
Impact Statement
A dietary modification could have a strong impact in colorectal adenoma prevention in African American women.
BACKGROUND
Colorectal cancer is the third leading cause of cancer incidence and death in the United States (1). An estimated 16,520 new cases of colorectal cancer were expected to be diagnosed among African Americans in 2009, and cancer at this site is the third most frequently diagnosed for African American women after lung and breast cancer (1). Colorectal cancer is the third leading cause of cancer death among African Americans and it is estimated that African Americans are as much as 28% more likely to die of the disease than whites. Colorectal adenomas are recognized as precursors of colorectal cancer (2).
It is not clear why colorectal cancer incidence rates are higher among African Americans. but dietary factors may play a role (3). Certain, dietary factors are thought to inhibit or promote the development and progression of colorectal adenomas and cancer (Peipins LA 1994; Lipkin M 1999). There is epidemiologic evidence supporting a strong inverse association of fruits and vegetables against colorectal adenomas (4, 5). Other studies have found no significant association between fruits and vegetables and adenomas or colorectal polyps (6-8). Conversely, dietary fat and red meat have been associated with higher risk of colorectal cancer and adenomas (9-13). Several studies have assessed dietary patterns in relation to incidence of colorectal adenoma or cancer. The prudent dietary pattern, characterized by higher intake of vegetables, fruits, whole grains, fish, and poultry, has been associated in some studies with lower risk of colorectal cancer (14) or adenomas (15-17), but not in others (18-20). The Western dietary pattern, characterized by high fat dairy, meat, eggs, butter and fries, sweets, soda, and snacks, has been associated in some studies with higher risk of colon cancer (14) or adenomas (21) , but not in others (20). Survey data indicate that African Americans are less likely to eat a diet high in fruits, vegetables, and other components of a prudent dietary pattern than white Americans (22, 23).
A few studies have investigated the association between diet and colorectal cancer in African Americans. A study in North Carolina of older subjects examined dietary patterns in relation to colon cancer risk in 636 cases and 1,042 controls, of which 64 cases and 92 controls were African Americans (13). They found that the fruit-vegetable pattern was significantly inversely associated with colon cancer risk only in whites (OR=0.4, 95% CI=0.3-0.6). In a study of 99 African-American colorectal cancer cases and 280 matched controls, Dales et al. (24) found that colon cancer cases were more likely to report high consumption of saturated fat-rich foods and less frequent consumption of foods high in dietary fiber; these findings were not statistically significant. In a case-control study by Satia-Abouta et al. (25) of 613 cases among African-Americans, saturated fat was associated with a twofold higher colon cancer risk only in models that did not adjust for energy, while dietary fiber was significantly associated with lower risk regardless of whether adjustment was made for total energy.
Since adenomas are viewed as intermediate stages in the development of colorectal cancer, preventing the growth of adenomas will prevent colorectal cancer (26, 27). Our aim in the present study was to identify major dietary patterns in a cohort of African American women and examine their associations with incidence of colorectal adenomas.
MATERIALS & METHODS
The Black Women's Health Study (BWHS) is a prospective cohort study of African American women from across the United States. In 1995, 59,000 women aged 21 to 69 years enrolled by responding to health questionnaires mailed to subscribers of Essence magazine, members of several African American professional associations, and friends of early respondents. Respondents completed 14-page questionnaires which probed for information on demographics, health status, and medical and lifestyle variables. The baseline questionnaire obtained information on adult height, current weight, demographic characteristics, reproductive history, medical history, use of medications, use of cigarettes and alcohol, and usual diet. Since 1995, follow-up questionnaires have been sent every two years to update information on reproductive history and other exposures and identify new occurrences of serious illnesses such as breast cancer. Over six completed cycles of follow-up, follow-up of the baseline cohort has averaged over 80%. Approval for the study was obtained from Boston University Institutional Review Board, and written consent was obtained from all participants.
Case ascertainment
Participants were asked about a list of diseases and the date of first diagnosis on the baseline and follow-up questionnaires. In 1999, a question on “colon or rectal polyps” was added to the list of illnesses. Pathology reports are sought for each participant who reports colorectal polyps and are reviewed to determine whether an adenoma was found. To date, in follow-up through 2007, there are 643 incident colorectal adenomas confirmed by medical records.
Assessment of dietary intake
A food frequency questionnaire (FFQ) based on the short National Cancer Institute's FFQ developed by Block et al.(28) was used to collect information on dietary intake (29). The FFQ assessed average food intake over the previous year, and was administered in 1995 and 2001. Participants were asked how often (frequency) and how much (serving size) they consumed of each food. For frequency of consumption, the choice was from 9 frequency categories, ranging from “never or <1 per month” to “2 or more per day” for each food. For serving size in 1995, the options were small (0.5 times medium serving), medium, or large (1.5 times medium serving); a supersize option (2 times a medium serving) was added to the 2001 FFQ. The amount of weekly intake for each food item was calculated by multiplying the frequency of intake by the serving size. Total energy intake was calculated by summing intake from all foods. A validation study of BWHS participants showed good correlations between nutrients assessed by the 1995 FFQ, 24-hour dietary recalls, and food records over a one-year period (29).
Assessment of other variables
Data on cigarette smoking, alcohol intake, weight, height, menopausal status, and female hormone use were collected on the baseline questionnaire and, except for height, updated on follow-up questionnaires every two years. Body mass index (BMI), a measure of obesity, was calculated as weight in kilograms divided by height in meters squared. In the 1997, 1999 and 2001 questionnaires, participants provided information on the number of hours spent each week on vigorous exercise such as basketball, swimming, running and aerobics. Information on education was obtained in 1995 and on family history of colorectal cancer (in a mother, father or sibling) in 1999. Women were classified as premenopausal if they were still menstruating and as postmenopausal if they had a natural menopause (no periods for at least a year) or bilateral oophorectomy. Women who had a hysterectomy without removal of both ovaries were classified as premenopausal if their current age was less than the 10th percentile of age at natural menopause (age 43 years), as postmenopausal if their age was greater than the 90th percentile of age at natural menopause in the cohort (age 56 years), and as unknown menopausal status if age was 43-56 years.
Statistical Analysis
For the present analysis, women were included if they completed the 1995 FFQ; had missing data on no more than 10 questions on the FFQ; had a total energy intake in the range of 500 to 3,800 kcal/day; had completed the 1997 follow-up questionnaire; reported colonoscopy or sigmodoscopy in 2003, 2005 or 2007; had not reported a diagnosis of cancer on the baseline or 1997 follow-up questionnaire; and had not reported a diagnosis of colorectal polyps on the baseline or 1997 follow-up questionnaire. There were 16,405 such women included in the present analyses, of whom 620 developed an incident colorectal adenoma during the course of follow-up.
Food items in our data were grouped into 33 food groups for both the 1995 and 2001 FFQ's (30). Any food item, including alcohol, that did not fit into any of the groups was left as an individual food item. The food groups were adjusted for energy by dividing the intake of each food group/item by total energy and multiplying by 1,000 (31). Principal factor analysis was used to derive food patterns (food clusters) based on the 33 food groups. PROC FACTOR in SAS version 9.2 with option METHOD=PRINCIPAL was used. The function ROTATE=VARIMAX was used for the rotation of the factors by an orthogonal transformation. A combination of eigenvalues (>1), the Scree test and factor interpretability was used in determining the number of retained factors (32). A factor loading an absolute value of 0.30 or greater was used to identify the primary factor on which the items are loaded. Other factor loading cutoffs have been used, for instance, Sieri et al. (33) used a loading of 0.25 or greater, and Velie et al. (34) used loadings of 0.2 or greater. For each participant, we calculated factor scores for each dietary pattern. The factor scores were derived by weighting each food group proportionally to its involvement in a dietary pattern. The more involved a variable is, the higher the weight. Variables unrelated to a dietary pattern would be weighted close to zero. To determine the score for a woman on a pattern, the woman's data on each food group were multiplied by the pattern weight for that food group. The sum of these products for all the food groups yields the factor score for the dietary pattern.
Person-years of follow-up were computed for each participant as the amount of time since 1997, which was baseline for the present analyses, until the first of one of the following events occurred: colorectal adenoma or colorectal cancer diagnosis, loss to follow-up, death, end of the 10-year follow-up period (these coincide with the times that observations were censored). PROC PHREG was used to fit questionnaire cycle-stratified Cox regression models to determine the multivariate adjusted incidence rate ratios (with the corresponding 95% confidence intervals) for the association between the dietary patterns and breast cancer incidence. Quintiles of the two dietary pattern scores were assessed and the lowest quintile was used as the reference category. The 1995 dietary pattern score was updated in 2001 when the FFQ was again administered. The variables included in the Cox regression were age (continuous), BMI (continuous), education (≤ 12, 13-15, ≥ 16 years), family history of colorectal cancer (yes/no), vigorous physical activity (none, ≤ 2, > 2 hours/week), total energy intake (quintiles), menopausal status (pre-/post-menopausal), smoking history (nonsmoker, former smoker, current smoker), alcohol intake (0, 1-3, ≥ 4 drinks/week), aspirin use (yes/no), and menopausal female hormone use (ever/never). These covariates were selected based on known or potential associations with colorectal adenomas or cancer risk. In this analysis, age, BMI, alcohol intake, aspirin use, vigorous physical activity, smoking history, menopausal status, and female hormone use were handled as time-varying covariates and updated biennially. Further analyses were performed within strata of age (younger, age < 50 and older, age ≥ 50 years) and of aspirin use (yes/no). The Andersen-Gill data structure was used to update the time dependent covariates with the EXACT option in SAS used to handle tied event times. All analysis was conducted using SAS statistical software (Version 9.2; SAS Institute, Inc, Cary, NC).
RESULTS
Two dietary patterns, Western and prudent, identified previously in the BWHS (30), were utilized in the present study. The Western dietary pattern was characterized by high loading on refined grains, high fat dairy, meat and processed meat, eggs, margarine, butter and mayonnaise, fries, sweets, soda, and snacks. The prudent dietary pattern was characterized by higher intakes of cruciferous and other vegetables, fruits, whole grains, cereals, beans, low fat dairy, fish, and poultry.
Table 1 shows the baseline distributions of selected colorectal adenomas risk factors by quintiles of dietary pattern score. Women who scored high on the Western pattern weighed more, were less educated, were more often smokers and aspirin users, were less often postmenopausal, and exercised less than those who scored low on this pattern. Women with high prudent scores were older, more educated, less likely to smoke, more often aspirin users and postmenopausal and had higher levels of vigorous physical activity than those who scored low on this pattern. All trend tests for the variables in Table 1 except for family history were significant at p <0.05,
Table 1.
Baseline characteristics by quintiles of 1995 dietary patterns*
| Western | Prudent | |||||
|---|---|---|---|---|---|---|
| Variable | Q1 | Q3 | Q5 | Q1 | Q3 | Q5 |
| Age, years; mean(SD) | 48.5(9.2) | 46.8(8.9) | 45.3(9.0) | 44.0(8.5) | 46.8(8.8) | 49.9(9.0) |
| BMI, Kg/m2; mean(SD | 27.8(5.8) | 28.9(6.2) | 29.5(6.7) | 29.3(7.1) | 28.9(6.2) | 28.1(5.7) |
| Education (%) | ||||||
| ≤ 12 years | 12.4 | 16.9 | 26.1 | 20.5 | 17.0 | 17.9 |
| 13-15 | 24.8 | 32.7 | 37.9 | 31.4 | 33.1 | 30.8 |
| ≥ 16 | 62.8 | 50.5 | 36.0 | 48.2 | 48.3 | 51.0 |
| Current smokers (%) | 7.6 | 14.5 | 22.7 | 16.9 | 15.2 | 12.8 |
| Alcohol (≥ 4 drinks/week, %) | 6.6 | 9.5 | 15.6 | 6.0 | 10.5 | 14.4 |
| Aspirin user (%) | 16.9 | 17.3 | 19.4 | 15.6 | 16.6 | 20.1 |
| Family history of colorectal cancer (%) | 2.8 | 2.4 | 2.6 | 2.4 | 3.0 | 3.0 |
| Postmenopausal (%) | 37.0 | 31.8 | 28.6 | 22.5 | 31.2 | 43.0 |
| Vigorous physical activity (> 2 hrs/week, %) | 25.5 | 15.8 | 10.1 | 11.4 | 17.0 | 22.8 |
Baseline for the present analyses was 1997; p for trend across quintiles are <0.05 for all variables except family history
Age-adjusted mean nutrient intakes were assessed across quintiles of the Western and prudent dietary pattern score Table 2. Women in the highest quintile of the Western dietary pattern had higher intakes of cholesterol, total fat, and saturated fat and lower intake of carbohydrate, beta-carotene, and folate than women in lower quintiles, whereas women in the highest quintile for the prudent dietary pattern had lower intake of total energy, cholesterol, carbohydrate, fat, and saturated fat and higher intakes of beta-carotene, fiber, and folate than women in lower quintiles. All trend tests across quintiles of dietary patterns were significant at p<0.05.
Table 2.
Age-adjusted mean nutrient consumption by quintiles of dietary patterns*
| Western | Prudent | |||||
|---|---|---|---|---|---|---|
| Variable | Q1 | Q3 | Q5 | Q1 | Q3 | Q5 |
| Mean Nutrient Consumption | ||||||
| Energy (Kcal) | 1,555 | 1,559 | 1,528 | 1,878 | 1,541 | 1,250 |
| Cholesterol (mg) | 181 | 223 | 289 | 248 | 237 | 189 |
| Protein (g) | 65 | 57 | 62 | 62 | 62 | 56 |
| Total carbohydrates (g) | 217 | 199 | 166 | 237 | 189 | 167 |
| Total fat (g) | 48 | 58 | 65 | 75 | 58 | 39 |
| Total saturated fat (g) | 14 | 18 | 20 | 23 | 18 | 11 |
| Beta-carotene (mcg) | 4,882 | 4,181 | 3,886 | 2,790 | 4,292 | 6,135 |
| Fiber (g/d) | 14 | 11 | 9 | 9 | 11 | 14 |
| Folate (mcg) | 282 | 231 | 196 | 194 | 234 | 273 |
p for trend across quintiles < 0.05 for all variables
During 155,414 person-years of follow-up from 1997 through 2007, 620 incident colorectal adenomas were identified. As shown in Table 3, higher prudent diet score was associated with a lower risk of colorectal adenomas, with an incidence rate ratio (IRR) for fifth quintile relative to first quintile of IRR= 0.66, 95% CI, 0.50-0.88), and the p for trend across quintiles was < 0.01. High Western diet score was associated with an increased risk of colorectal adenoma: for women in the fifth quintile relative to those in the first quintile, IRR=1.42 (95% CI, 1.09-1.85) and the p-value for trend across the quintiles was 0.01.
Table 3.
Multivariate adjusted rate ratios for colorectal adenomas according to the two major dietary patterns
| Quintile | Cases | Person-years | Adjusted IRR (95% CI)1 | |
|---|---|---|---|---|
| Western | 1 | 114 | 31,138 | 1.00 |
| 2 | 120 | 31,109 | 1.11(0.85-1.44) | |
| 3 | 130 | 31,047 | 1.26(0.97-1.63) | |
| 4 | 119 | 31,047 | 1.20(0.91-1.56) | |
| 5 | 137 | 31,048 | 1.42(1.09-1.85) | |
| P, trend | 0.01 | |||
| |
||||
| Prudent | 1 | 126 | 31,086 | 1.00 |
| 2 | 126 | 31,102 | 0.93(0.72-1.19) | |
| 3 | 122 | 31,096 | 0.82(0.63-1.07) | |
| 4 | 131 | 31,045 | 0.82(0.63-1.06) | |
| 5 | 115 | 31,085 | 0.66(0.50-0.88) | |
| P, trend | < 0.01 | |||
Adjusted for age, BMI, education, family history of colorectal cancer, vigorous physical activity, total energy intake, menopausal status, alcohol consumption, aspirin use, smoking status and female hormone use
Stratifying on age (Table 4), the Western dietary pattern was significantly associated with an increased risk of colorectal adenomas in older (age ≥50 years) women with IRR = 1.53 (95% CI, 1.12-2.08) for quintile 5 relative to quintile 1, and p for trend was < 0.01. The prudent pattern was also associated with a significant reduction in colorectal adenomas risk among older women (for quintile 5 relative to quintile 1, IRR=0.58, 95% CI, 0.41-0.80; p for trend was <0.01). Neither pattern was significantly associated with risk of adenomas among younger (age < 50 years) women. However, tests for interaction between dietary patterns and age were not significant (likelihood ratio tests for interaction: p=0.74 between prudent pattern and age; and p=0.88 between Western pattern and age).
Table 4.
Multivariate adjusted rate ratios for colorectal adenomas according to age and two major dietary patterns
| Quintile | Cases | Person-years | Adjusted IRR (95% CI)1 | |
|---|---|---|---|---|
| Age < 50 years | ||||
| Western | 1 | 24 | 11,872 | 1.00 |
| 2 | 36 | 13,552 | 1.21(0.71-2.03) | |
| 3 | 36 | 14,335 | 1.16(0.68-1.97) | |
| 4 | 42 | 15,515 | 1.22(0.73-2.05) | |
| 5 | 44 | 16,300 | 1.21(0.71-2.03) | |
| P, trend | 0.56 | |||
| |
||||
| Prudent | 1 | 46 | 18,332 | 1.00 |
| 2 | 46 | 16,643 | 1.10(0.72-1.66) | |
| 3 | 39 | 14,244 | 1.11(0.71-1.73) | |
| 4 | 28 | 12,486 | 0.87(0.53-1.42) | |
| 5 | 23 | 9,868 | 0.93(0.54-1.58) | |
| P, trend | 0.55 | |||
| | ||||
| Age ≥ 50 years | ||||
| Western | 1 | 90 | 19,266 | 1.00 |
| 2 | 84 | 17,557 | 1.07(0.79-1.45) | |
| 3 | 94 | 16,737 | 1.29(0.96-1.74) | |
| 4 | 77 | 15,532 | 1.17(0.85-1.60) | |
| 5 | 93 | 14,748 | 1.53(1.12-2.08) | |
| P, trend | < 0.01 | |||
| |
||||
| Prudent | 1 | 80 | 12,754 | 1.00 |
| 2 | 80 | 14,459 | 0.85(0.61-1.16) | |
| 3 | 83 | 16,852 | 0.72(0.52-0.99) | |
| 4 | 103 | 18,559 | 0.77(0.56-1.05) | |
| 5 | 92 | 21,216 | 0.58(0.41-0.80) | |
| P, trend | <0.01 | |||
Adjusted for BMI, education, family history of colorectal cancer, vigorous physical activity, total energy intake, menopausal status, alcohol consumption, aspirin use, smoking status and female hormone use
Stratifying on aspirin use (Table 5), the Western dietary pattern was associated with an increased risk of colorectal adenomas in aspirin users (p for trend <0.01 across quintiles) and nonusers (p for trend =0.13). The prudent pattern was associated with a reduction in colorectal adenoma risk among aspirin users (p for trend = 0.04) and nonusers (p for trend= 0.03). Tests for interaction between dietary patterns and aspirin use were not significant (likelihood ratio tests for interaction: p=0.69 between prudent pattern and aspirin use; and p=0.57 between Western pattern and aspirin use).
Table 5.
Multivariate adjusted rate ratios for colorectal adenomas according to aspirin use and two major dietary patterns
| Quintile | Cases | Person-years | Adjusted IRR (95% CI)1 | |
|---|---|---|---|---|
| Nonaspirin user | ||||
| Western | 1 | 88 | 24,841 | 1.00 |
| 2 | 100 | 25,034 | 1.16(0.87-1.55) | |
| 3 | 101 | 25,091 | 1.22(0.90-1.63) | |
| 4 | 91 | 24,849 | 1.14(0.84-1.54) | |
| 5 | 103 | 24,805 | 1.32(0.97-1.78) | |
| P, trend | 0.13 | |||
| Prudent | 1 | 104 | 25,944 | 1.00 |
| 2 | 96 | 25,370 | 0.89(0.67-1.19) | |
| 3 | 95 | 25,014 | 0.83(0.62-1.11) | |
| 4 | 99 | 24,343 | 0.83(0.62-1.11) | |
| 5 | 89 | 23,949 | 0.71(0.51-0.96) | |
| P, trend | 0.03 | |||
| | ||||
| Aspirin user | ||||
| Western | 1 | 24 | 5,893 | 1.00 |
| 2 | 20 | 5,647 | 0.97(0.52-1.77) | |
| 3 | 28 | 5,627 | 1.29(0.83-1.56) | |
| 4 | 27 | 5,812 | 1.17(0.82-2.58) | |
| 5 | 34 | 5,803 | 2.07(1.18-3.63) | |
| P, trend | < 0.01 | |||
| |
||||
| Prudent | 1 | 20 | 4,790 | 1.00 |
| 2 | 30 | 5,363 | 1.23(0.69-2.18) | |
| 3 | 27 | 5,616 | 0.95(0.52-1.73) | |
| 4 | 31 | 6,244 | 0.84(0.46-1.52) | |
| 5 | 25 | 6,768 | 0.61(0.32-1.15) | |
| P, trend | 0.04 | |||
Adjusted for age, BMI, education, family history of colorectal cancer, vigorous physical activity, total energy intake, menopausal status, alcohol consumption, smoking status and female hormone use.
DISCUSSION
In this study, we utilized dietary patterns, Western and prudent, identified previously in the BWHS (30) that are consistent with patterns in other published studies (14, 35). The two patterns were stable over the two questionnaire cycles, 1995 and 2001, in terms of the constituent food groups. This stability among food groups is in agreement with other longitudinal studies on dietary patterns (35, 36).
We found a strong inverse association between prudent dietary pattern and colorectal adenoma risk. A number of studies have also associated the intake of these foods with a decreased risk of colorectal adenomas (15-17, 19, 37, 38). We also found a positive association of Western dietary pattern with risk of colorectal adenoma. Some studies have found positive associations of colorectal cancer or adenoma with Western pattern or dietary pattern similar to Western, (9, 14, 19, 21, 21, 39-41) while others have found no association between dietary patterns and colon cancer (18, 20, 38, 42-44). In our study the association with Western pattern appeared stronger in older women, but a test for interaction by age was not statistically significant. Kesse et al. (21) found that high risk adenomas were positively associated with the Western pattern in older women and not younger women.
The prudent diet is characterized by a high intake of fruits, vegetables and grains. Fruits and vegetables are rich in phytochemicals and antioxidant nutrients, such as the isothiocyanates and folate, which can prevent oxidative DNA damage and enhance DNA repair (Potter JD 1993). Additionally, the prudent diet is high in dietary fiber, which has been shown to reduce gastrointestinal transit time, increase bulk and the binding of carcinogens (Lipkin et al. 1999; Potter JD 1993). The Western dietary pattern, especially red meat, may be linked to increased colorectal adenoma risk due to its effect on colorectal carcinogenesis (Norat et al., 2002; Norat et al., 2005). Part of the biologic argument is that red meat contains high levels of heterocyclic amines and other mutagens that occur when cooking at high temperatures. The formation of these substances may result in DNA modification that may promote mutation if not repaired (Martinez et al., 2007).
Our study has a number of strengths. We used data from a FFQ that has been validated in our population (29). In using the dietary pattern approach versus analyzing the nutrient content of single foods, we increased the likelihood of capturing nutrient interactions and greater variation in dietary components since all foods made weighted contributions to the factor score (45). From the large number of variables in our study, we were able to control for known and suspected confounders in the relationship between dietary patterns and colorectal adenomas. The prospective design of our study reduced the opportunity for differential dietary recall to bias our findings. The use of two time point measures of dietary intake reduced intra-individual variation, leading to more precise effect estimates.
However, our study also has some limitations. Factors analysis includes subjective judgments in determining the number of patterns, labeling the patterns, and interpreting these patterns (46). In addition, misclassification of dietary intake is a well-known problem of FFQs (47, 48) and likely would have tended to bias the risk estimates toward the null.
In summary, African American women are at high risk of colorectal cancer and there is a paucity of research that examined dietary factors and colorectal adenoma risk. Our results suggest that a prudent dietary pattern may reduce the incidence of colorectal adenomas and Western pattern increase the incidence.
ACKNOWLEGEMENT AND AUTHORSHIP
We are grateful to the women who participated in the Black Women's Health Study.
Grant Support: National Cancer Institute grant CA058420; the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or National Institutes of Health
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