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1 Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota; 2 Division of Cancer Prevention, Fred Hutchinson Cancer Research Center, Seattle, Washington; 3 Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa; 4 Department of Research, Kaiser Permanente, Oakland, California; and 5 Division of Epidemiology, University of Minnesota School of Public Health, Minneapolis, Minnesota
Requests for reprints: James R. Cerhan, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905. Phone: 507-538-0499; Fax: 507-266-2478. E-mail: cerhan.james{at}mayo.edu
| Abstract |
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| Introduction |
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In 1997, the American Institute for Cancer Research (AICR) issued 14 recommendations regarding diet and factors related to diet (Table 1), which were designed to reduce cancer incidence and mortality on a global basis (2). The recommendations not only outlined public health goals but also provided advice to individuals for the prevention of cancer. The recommendations were noted to be generally consistent with other dietary recommendations at that time, and the recommendations were designed to be implemented as a whole; that is, no individual recommendation was to be promoted or followed out of context. Smoking was not part of the recommendations per se, but the panel recommended not using tobacco because this could overwhelm any potential protective effect of the dietary recommendations.
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| Materials and Methods |
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Eight of the 14 AICR recommendations, plus smoking history, were operationalized as detailed in Table 1. The first recommendation was not operationalized due to its nonspecific nature and because it was encompassed by other recommendations (i.e., nos. 4, 5, and 7). Because the "body weight" guideline had two distinct and clinically relevant components ("avoid being underweight or overweight" and "limit weight gain during adulthood to <11 pounds"), we operationalized both using historical weight data self-reported on the 1986 baseline questionnaire. Physical activity was determined using a previously published physical activity index (7). We did not have data on occupational physical activity.
Adherence to the dietary recommendations (nos. 4 to 9) was determined from a semiquantitative food frequency questionnaire developed by Willett et al. (8). Usual intakes of specified portions for 127 food items were ascertained, and nutrient intakes and total energy were estimated using a nutrient database (8). The diet questionnaire is reasonably valid and reliable in this population for a variety of nutrients including total fat (9). For the recommendation regarding consuming a diet rich in starches and nonstarch polysaccharides (no. 5), we summed items providing complex carbohydrates, excluding highly refined sources of carbohydrates. In our cohort, only 3% of the women reported consuming the recommendation of
600 g/d, so we defined adherence a priori as
400 g/d (approximately the 20th percentile). Daily sodium consumption from foods was determined from the food frequency questionnaire. In addition, respondents were asked if they added salt to their food. If dietary sodium consumption was <2,400 mg/d and the respondent reported no additional salt use, they were categorized as adherent.
Recommendations pertaining to food storage (no. 10) and preservation (no. 11) were not operationalized, as they were considered to be less relevant to most western populations. The recommendations on additives and residues (no. 12) and meat preparation (no. 13) were not included because they were not assessed on the baseline survey. Use of dietary supplements (no. 14) was not included because the recommendation was deemed to be neutral on whether these should be used or avoided.
Data on cigarette smoking history were obtained at baseline and included age started, age stopped, and usual number of cigarettes smoked per day.
Data Analysis
We excluded women who were not postmenopausal (n = 569), women who reported a history of cancer other than skin cancer or prior cancer chemotherapy (n = 3,881), women who self-reported a history of heart disease or heart attack (n = 5,116), and women who left
30 items blank on the dietary questionnaire or had implausibly high or low total energy intake (<600 or >5,000 kcal/d; n = 3,096); these exclusions were not mutually exclusive. After implementing the exclusions, a total of 30,518 women were available for analysis, 29,838 with complete data on all recommendations. To obtain the "number of recommendations followed," we summed across the nine operationalized recommendations for each woman (Table 1). This variable was modeled as a categorical variable (0 to 1, 2, 3, 4, 5, or 6 to 9), and categories were selected a priori to cover the entire distribution of scores and to ensure a sufficient sample size in each category.
We estimated the relative risks (RRs) of cancer incidence (excluding nonmelanoma skin cancer), cancer mortality (International Classification of Diseases, Ninth Edition codes 140 to 239), cardiovascular mortality (International Classification of Diseases, Ninth Edition codes 390 to 459), and all-cause mortality according to the summary score of recommendations followed using Cox proportional hazards regression models using each woman's age as her own time scale for the baseline risk (10). The proportional hazards assumptions underlying the models were examined, and if violated, this was specifically noted.
We also computed the PAR to estimate the proportion of cancer incidence or cause-specific mortality that might have been avoided or deferred if all women in the IWHS had been in the low-risk categories (i.e., never smoked or followed six to nine recommendations) using the assumption that there was a causal association between these factors and each end point. The variance and 95% confidence interval (95% CI) of the PARs were estimated with a Splus macro (11).
| Results |
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1.3), they were highly statistically significant. In contrast, for cancer and total mortality, only the lowest category (i.e., followed no to one recommendation) had significantly elevated risk of each end point, while there was no association for CVD mortality. Results were similar when analyses were stratified by smoking status (Table 3). In secondary analysis, we further excluded long-term quitters (>8 years) from the ever-smoker group, and the associations reported in Table 3 slightly strengthened (data not shown).
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| Discussion |
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We evaluated the association of the number of recommendations followed with total cancer incidence and total cancer mortality and did not evaluate the associations with specific cancer sites. This approach is consistent with the AICR's principle that, while cancer is more than one disease entity with often unique (but overlapping) risk factors, devising a series of recommendations for different cancers would not be helpful and that "common factors have allowed a coherent set of recommendations to be presented" (2). One notable finding was that the recommendations were more strongly associated with cancer incidence than cancer mortality perhaps due to the importance of other factors in determining cancer survival (and therefore mortality).
The AICR panel noted that recommendations aimed at the prevention of cancer would be incomplete without discouraging the use of tobacco and that the detrimental effects of tobacco use on cancer may overshadow any protective effect that might be conferred by following the recommendations. Our data offer some support to this concept, as the PARs for following the AICR recommendations were slightly stronger among never-smokers, although the differences were small. This may be in part due to the relatively low prevalence and intensity of smoking in this cohort or that these risk factors are independent.
Although the AICR recommendations were developed to prevent cancer, the panel noted that the recommendations were not in conflict with recommendations designed to prevent other diseases and should "contribute overall to improvement of child and general adult health, prevention of deficiency diseases, and therefore increased resistance to infectious diseases and the prevention of other chronic diseases" (2). In this cohort, following more AICR recommendations was associated with lower total mortality but was unrelated to CVD mortality. Although we did not ascertain nonfatal CVD events, this does not seem to be an explanation for finding no association, given previously published risk factor associations for CVD mortality in this cohort (7, 12-14). Comprehensive recommendations would need to take into account additional factors to prevent CVD, possibly including use of nonhydrogenated fats and
3 fatty acids (15), as well as control of other CVD risk factors including hypertension and diabetes.
Strengths of this study include the prospective design, simultaneous evaluation of multiple end points, virtually complete follow-up of the cohort, use of a Surveillance, Epidemiology, and End Results cancer registry to ascertain incident cancers, and use of a validated diet questionnaire. Another strength is that the independent variable evaluated here (i.e., number of recommendations followed) was developed on the basis of external criteria and therefore ensures some protection from overly optimistic results from models derived from previously identified risk factors in the study population.
There are also limitations. We were unable to operationalize all of the recommendations, although we have operationalized most of the recommendations clearly relevant to western populations, with the exception of preparation of meats (i.e., charring) and regulation of pesticide residues, for which we did not have baseline data on either factor. The operationalization for the recommendation on sodium intake was also incomplete, as we could not directly assess total sodium intake due to a lack of data on the amount of salt specifically added during cooking or at the table. Thus, our assessment of this recommendation would misclassify women as not adherent who had low sodium intake from foods and added only a small or moderate amount at the table; the extent or effect of this misclassification is unknown. For the recommendation to eat a diet rich in starches and nonstarch polysaccharides, we had to lower the adherence threshold because only 3% of the cohort complied at the recommended level. We assessed dietary intake at a single point in time (the 1986 study baseline), and this may not be representative of the women's lifetime intake or intake during the critical window for cancer prevention. In particular, because this is an older cohort, the impact of these risk factors may be different for younger women. Nevertheless, even at this older age, our data suggest a potentially important role for prevention. Furthermore, we cannot address whether changes in diet would lead to lower cancer incidence, a hypothesis most validly tested in a clinical trial. Finally, our results may be confounded by other healthy lifestyle factors that were not evaluated.
In 1981, Doll and Peto (16) estimated that diet (excluding alcohol) accounted for about 35% of all cancer deaths in the United States (range 10-70%), with a further contribution of 3% due to alcohol (range 2-4%). Other prominent reports have also suggested about one third of cancer mortality could be avoided through dietary means (16-18). In the Breast Cancer Detection Demonstration Project cohort, adherence to the Recommended Food Score, a summary of foods recommended by the U.S. Departments of Agriculture and Health and Human Services, was inversely associated (highest versus lowest quartile) with total mortality (RR 0.69, 95% CI 0.61-0.78) as well as cancer mortality (RR 0.64, 95% CI 0.49-0.74), coronary heart disease mortality (RR 0.67, 95% CI 0.47-0.95), and stroke mortality (RR 0.58, 95% CI 0.35-0.96) after multivariate adjustment (19). However, the Recommended Food Score only weakly predicted CVD (incidence or mortality) and did not predict cancer (incidence or mortality) in the Nurses' Health Study cohort (20). In the latter study, the Healthy Eating Index, which was created by the U.S. Department of Agriculture and based on the food pyramid and the 1995 Dietary Guidelines for Americans (21), was only weakly and inversely associated with CVD risk and was not associated with cancer risk in the Nurses' Health Study (22). In a follow-up to the latter study, a modified Healthy Eating Index, which included expanded information on dietary choices and fat quality, was inversely associated (highest versus lowest quartile) with CVD (RR 0.72, 95% CI 0.60-0.86) but not cancer (RR 0.97, 95% CI 0.88-1.06; ref. 20). In a Swedish cohort, women who had the highest adherence to a Recommended Food Score had a lower risk of cancer mortality (RR 0.76, 95% CI 0.60-0.96), coronary heart disease mortality (RR 0.47, 95% CI 0.33-0.68), and stroke mortality (RR 0.40, 95% CI 0.22-0.73; ref. 23).
Unlike this analysis, the previous studies evaluated dietary factors exclusively in their guidelines. In the IWHS cohort, adherence to the 2000 Dietary Guidelines for Americans, which also included nondiet recommendations on weight status and level of physical activity, was inversely associated with total cancer incidence (RR for highest versus lowest quintile of the adherence score 0.85, 95% CI 0.77-0.93; ref. 24). Of note, when the nondiet factors were excluded from the guidelines, the association for total cancer incidence attenuated (RR 0.92, 95% CI 0.83-1.02). The lack of an association after the exclusion of the nondiet recommendations in this analysis suggests that weight control and physical activity recommendations may be particularly important, although the likely greater measurement error for assessing diet in combination with low adherence for several of the dietary recommendations may also play a role.
In summary, the AICR recommendations that were operationalized here were found to be associated with cancer incidence (but weaker with cancer mortality) and may have a substantial population impact. The lack of an association with cardiovascular mortality suggests that additional recommendations will need to be integrated. Nevertheless, these data support public policy initiatives to improve diet and diet-related interventions (i.e., weight control and physical activity) to reduce the burden of cancer and other chronic diseases in the population.
| Footnotes |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 12/ 4/03; revised 2/12/04; accepted 2/25/04.
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