Was race a factor in the outcomes of the women's health eating and living study?

BACKGROUND:

The objective of this study was to determine whether women who were participating in the Women's Healthy Eating and Living (WHEL) Study exhibited similar dietary changes, second breast cancer events, and overall survival regardless of race/ethnicity.

METHODS:

For this secondary analysis, the authors used data from 3013 women who were self‐identified as Asian American, African American, Hispanic, or white and who were assigned randomly to a dietary intervention or a comparison group. Changes in dietary intake over time by race/ethnicity and intervention status were examined using linear mixed‐effects models. Cox proportional hazards models were used to examine the effects of the intervention on the occurrence of second breast cancer events and overall survival. Statistical tests were 2‐sided.

RESULTS:

African Americans and Hispanics consumed significantly more calories from fat (+3.2%) and less fruit (?0.7 servings daily) than Asians and whites at baseline (all P < .01). Overall, intervention participants significantly improved their dietary pattern from baseline to the end of Year 1, reducing calories from fat by 4.9% and increasing intake of fiber (+6.6 grams daily), fruit (+1.1 servings daily), and vegetables (+1.6 servings daily; all P < .05). Despite improvements in the overall dietary pattern of these survivors, the intervention did not significantly influence second breast cancer events or overall survival.

CONCLUSIONS:

Overall, all racial groups significantly improved their dietary pattern over time, but the maintenance of these behaviors were lower among African‐American women. More research and larger minority samples are needed to determine the specific factors that improve breast cancer‐specific outcomes in diverse populations of survivors. Cancer 2011. © 2011 American Cancer Society.     

Dietary fat and postmenopausal breast cancer.

BACKGROUND: Although the results of animal studies and cross-cultural comparisons generally support a role for dietary fat in the etiology of breast cancer, results of analytic epidemiology studies are equivocal. PURPOSE: The association between dietary fat and subsequent breast cancer was examined in a cohort of 34,388 postmenopausal women from Iowa. METHODS: Dietary habits were assessed by a food-frequency questionnaire mailed in January 1986. Through December 31, 1989, 459 incident cases of breast cancer occurred in this cohort. Proportional hazards regression was used to examine the dietary fat-breast cancer association while adjusting for potential confounders. The effects on this association of four analytic approaches to adjustment for energy intake were also considered. RESULTS: After adjustment for known determinants of breast cancer, a modest positive association of total fat intake with risk of breast cancer was seen. Polyunsaturated fat intake was also positively associated with breast cancer (relative risk from lowest to highest intake, 1.0, 1.25, 1.31, and 1.49; P for trend = .052). Different approaches to adjustment for energy intake, however, provided different impressions of the dietary fat-breast cancer association. One method, involving categorization of crude fat intake and inclusion of total energy intake in regression analysis, gave relative risk estimates from low to high fat intake of 1.0, 1.17, 1.25, and 1.38 (P for trend = .18). Another method, based on categorization of fat intake residuals in which the variation in fat due to total energy intake was removed, gave corresponding estimates of 1.0, 1.24, 1.30, and 1.16 (P for trend = .29). The former suggests increasing breast cancer risk with increasing fat intake; the latter suggests no association. CONCLUSIONS: These results are consistent with other cohort studies that have shown a weak association or no association between dietary fat and breast cancer. They are also consistent with studies suggesting that fat intake is a determinant of breast cancer, particularly after accounting for inaccuracies in dietary assessment. The effects of different energy-adjustment methods may account in part for the varying interpretations of four previous cohort studies of dietary fat and breast cancer. IMPLICATIONS: Further work is needed to clarify not only the nature of the dietary fat-breast cancer association, but also the impact of different analytic methods used in the investigation of diet-disease associations.     

Premenopausal dietary fat in relation to pre- and post-menopausal breast cancer

We examined the association between fat intake and breast cancer incidence in the Nurses’ Health Study II. We followed 88,804 women aged 26–45 years from 1991 to 2011 and documented incident breast cancers. Dietary fat, assessed by questionnaires in 1991, was examined in relation to total, premenopausal, and postmenopausal breast cancers. Multivariable-adjusted Cox proportional hazards models were used to estimate relative risk (RR) and 95 % confidence intervals (95 % CI). During 20 years of follow-up, 2,830 incident invasive breast cancer cases were diagnosed. Total fat intake was not associated with risk of breast cancer overall. After adjustment for demographic, anthropometric, lifestyle, and dietary factors, a positive association was observed between animal fat intake and breast cancer overall (RR for highest vs lowest quintile, 1.18; 95 % CI 1.04–1.33; P _trend = 0.01). A positive association with animal fat intake was also seen among premenopausal women, but not among postmenopausal women. Higher intakes of saturated fat and monounsaturated fat were each associated with modestly higher breast cancer risk among all women, and higher cholesterol intake was associated with higher premenopausal breast cancer risk. However, the associations of saturated fat, monounsaturated fat and animal fat, were attenuated and non-significant after adjustment for red meat intake. Intakes of other types of fat including vegetable fat, dairy fat, polyunsaturated fat, and trans fat were not associated with breast cancer risk. Our finding suggests a positive association between early adult intake of animal fat and breast cancer risk.     

Dietary factors and the survival of women with breast carcinoma.

BACKGROUND: Little is known regarding how specific dietary factors affect the survival of women with breast carcinoma. METHODS: Female registered nurses were followed with biennial questionnaires in a prospective cohort with 18 years of follow-up. Participants were women with breast carcinoma (n = 1982) diagnosed between 1976-1990 who completed a food frequency questionnaire after diagnosis. The main outcome measure was time to death from any cause. Analysis was made by multivariate Cox proportional hazards models. RESULTS: In multivariate analyses of diet after diagnosis, no apparent association was found between fat intake and mortality. The relative risk (and 95% confidence interval) of mortality comparing the highest with the lowest quintile of protein intake was 0.65 (0.47-0.88). There was no association between red meat and mortality. These associations were similar in analyses with breast carcinoma death as the outcome. CONCLUSIONS: No survival advantage was found for a low fat diet after a diagnosis of breast carcinoma. However, increased survival was observed among women eating more protein, but not red meat. The findings suggest that differences in diet may affect survival after a diagnosis of breast carcinoma and should be examined in greater detail.     

Impact of Body Mass Index on Outcomes After Breast Cancer Surgery: Nationwide Inpatient Database Study in Japan

BackgroundRecent studies have shown better postoperative outcomes in mildly obese patients, a phenomenon called the obesity paradox. In the field of breast cancer surgery, however, previous studies have only shown an association between obesity and worse postoperative outcomes using multivariable analysis; the obesity paradox has not been investigated in patients undergoing breast cancer surgery.Patients and MethodsWe identified patients who underwent mastectomy for stage 0 to III breast cancer from July 2010 to March 2017 using a Japanese nationwide inpatient database. We used restricted cubic spline analyses to investigate potential nonlinear associations between body mass index (BMI) and outcomes (postoperative complications, 30-day readmission, duration of anesthesia, length of hospital stay, and hospitalization costs). We also performed multivariable regression analyses for the outcomes.ResultsAmong 239,108 eligible patients, 25.6% had a BMI of > 25.0 kg/m². BMI showed U-shaped associations with postoperative complications, length of stay, and hospitalization costs, and a linear association with duration of anesthesia. The proportion of postoperative complications was lowest at a BMI of around 22.0 kg/m², while the length of stay was shortest and total costs were lowest at a BMI of around 20.0 kg/m². Compared to a BMI of 22.0 kg/m², a BMI of > 30.0 kg/m² was significantly associated with greater postoperative complications, 30-day readmission, duration of anesthesia, length of stay, and hospitalization costs.ConclusionRestricted cubic spline analyses displayed U-shaped associations between BMI and in-hospital complications, length of stay, and hospitalization costs, but none of the associations showed the obesity paradox.     

Dietary fat, fat subtypes, and breast cancer in postmenopausal women: a prospective cohort study

BACKGROUND: The intake of total dietary fat and of certain fat subtypes has been shown to be strongly associated with breast cancer in international comparisons and in animal experiments. However, observational epidemiologic studies have generally reported either weak positive or no associations. To extend the prospective epidemiologic evidence on this question, we examined the association between adult dietary intake of fat, fat subtypes, and breast cancer in a large, prospective cohort of postmenopausal women. METHODS: Participants were selected from a national breast cancer mammography screening program conducted from 1973 through 1981 at 29 centers throughout the United States. From 1987 through 1989, 40022 postmenopausal women satisfactorily completed a mailed, self-administered questionnaire that included a 60-item National Cancer Institute/Block food-frequency questionnaire. Women were then followed for an average of 5.3 years; 996 women developed breast cancer. Risk was assessed by use of Cox proportional hazard regression, with age as the underlying time metric. All statistical tests were two-sided. RESULTS: Compared with women in the lowest quintile (Q1) of percentage of energy from total fat, the adjusted risk ratio (RR) and 95% confidence interval (CI) for women in the highest quintile (Q5) was 1.07 (95% CI = 0.86-1.32). In analyses stratified by history of benign breast disease (BBD), a positive association was observed among only women with no history of BBD (RR (Q5 versus Q1) = 2.20; 95% CI = 1.41-3.42; test for trend, P =.0003). The increased risk in these women appeared to be attributable to unsaturated fat intake and oleic acid in particular. CONCLUSIONS: In this study, there was no overall association between fat intake during adulthood and breast cancer risk; however, among women with no history of BBD, there appeared to be a positive association between total and unsaturated fat intake and breast cancer risk.     

Total energy intake and breast cancer risk in sisters: the Breast Cancer Family Registry

Energy restriction inhibits mammary tumor development in animal models. Epidemiologic studies in humans generally do not support an association between dietary energy intake and breast cancer risk, although some studies suggest a more complex interplay between measures of energy intake, physical activity, and body size. We examined the association between total energy intake jointly with physical activity and body mass index (BMI) and the risk of breast cancer among 1,775 women diagnosed with breast cancer between 1995 and 2006 and 2,529 of their unaffected sisters, enrolled in the Breast Cancer Family Registry. We collected dietary data using the Hawaii–Los Angeles Multiethnic Cohort food frequency questionnaire. Using conditional logistic regression to estimate the odds ratios (OR) and 95 % confidence intervals (CI) associated with total energy intake, we observed an overall 60–70 % increased risk of breast cancer among women in the highest quartile of total energy intake compared to those in the lowest quartile (Q4 vs. Q1: OR = 1.6, 95 % CI: 1.3–2.0; P _trend < 0.0001); these associations were limited to pre-menopausal women or women with hormone receptor-positive cancers. Although the associations were slightly stronger among women with a higher BMI or lower level of average lifetime physical activity, we observed a positive association between total energy intake and breast cancer risk across different strata of physical activity and BMI. Our results suggest that within sisters, high energy intake may increase the risk of breast cancer independent of physical activity and body size. If replicated in prospective studies, then these findings suggest that reductions in total energy intake may help in modifying breast cancer risk.     

Insulin, macronutrient intake, and physical activity: are potential indicators of insulin resistance associated with mortality from breast cancer?

High levels of insulin have been associated with increased risk of breast cancer, and poorer survival after diagnosis. Data and sera were collected from 603 breast cancer patients, including information on diet and physical activity, medical history, family history, demographic, and reproductive risk factors. These data were analyzed to test the hypothesis that excess insulin and related factors are directly related to mortality after a diagnosis of breast cancer. The cohort was recruited from breast cancer patients treated at the British Columbia Cancer Agency between July 1991 and December 1992. Questionnaire and medical record data were collected at enrollment and outcomes were ascertained by linkage to the BC Cancer Registry after 10 years of follow-up. The primary outcome of interest was breast cancer-specific mortality (n = 112). Lifestyle data were analyzed using Cox proportional hazards regression models to relate risk factors to outcomes, controlling for potential confounders, such as age and stage at diagnosis. Data for biological variables were analyzed as a nested case-control study due to limited serum volumes, with at least one survivor from the same cohort as a control for each breast cancer death, matched on stage and length of follow-up. High levels of insulin were associated with poorer survival for postmenopausal women [odds ratio, 1.9; 95% confidence interval (CI), 0.7-6.6, comparing highest to lowest tertile, P trend = 0.10], while high dietary fat intake was associated with poorer survival for premenopausal women (relative risk, 4.8; 95% CI, 1.3-18.1, comparing highest to lowest quartile). Higher dietary protein intake was associated with better survival for all women (relative risk, 0.4; 95% CI, 0.2-0.8, comparing highest to lowest quartile).     

A randomized trial of dietary intervention for breast cancer prevention

Epidemiologic data and animal experiments suggest that dietary fat may influence risk of breast cancer. To determine whether intervention with a low-fat, high-carbohydrate diet would reduce breast cancer incidence in women at increased risk of the disease, we carried out a randomized controlled trial in Canada. We recruited 4,690 women with extensive mammographic density and randomized them to an intervention group or a comparison group. The intervention group received intensive dietary counseling to reduce fat intake to a target of 15% of calories and increase carbohydrate to 65% of calories. Dietary intakes were assessed throughout using food records. Subjects were followed for at least 7 years and for an average of 10 years. The main outcome was invasive breast cancer. Percentage of calories from fat in the intervention group decreased from 30% at baseline to 20% after randomization and remained 9% to 10% lower than the comparison group throughout. There were 118 invasive breast cancers in the intervention group and 102 in the comparison group [adjusted hazard ratio = 1.19 (95% CI: 0.91-1.55)]. Analysis of food records showed that fat intake at baseline and after randomization was not associated with total breast cancer incidence. Greater weight and lower carbohydrate intake at baseline and after randomization were associated with an increased risk of estrogen receptor (ER)-positive breast cancer. Our findings suggest that a sustained reduction in dietary fat intake did not reduce risk of breast cancer in women with extensive mammographic density. Weight and carbohydrate intakes were associated with risk of ER-positive breast cancer.     

Carbohydrates and the risk of breast cancer among Mexican women.

OBJECTIVE: High carbohydrate intake has been hypothesized to be a risk factor for breast cancer, possibly mediated by elevated levels of free insulin, estrogens, and insulin-like growth factor-1. Therefore, we conducted a population-based case-control study among a Mexican population characterized by relatively low fat and high carbohydrate intakes. METHODS: Women ages 20 to 75 years, identified through six hospitals in Mexico City (n = 475), were interviewed to obtain data relating to diet (using a food frequency questionnaire) and breast cancer risk factors. Controls (n = 1,391) were selected from the Mexico City population using a national sampling frame. RESULTS: Carbohydrate intake was positively associated with breast cancer risk. Compared with women in the lowest quartile of total carbohydrate intake, the relative risk of breast cancer for women in the highest quartile was 2.22 [95% confidence interval (95% CI) 1.63-3.04], adjusting for total energy and potential confounding variables (P for trend < 0.0001). This association was present in premenopausal and postmenopausal women (for highest versus lowest quartile, odds ratio 2.31, 95% CI 1.36-3.91 in premenopausal women and odds ratio 2.22, 95% CI 1.49-3.30 in postmenopausal women). Among carbohydrate components, the strongest associations were observed for sucrose and fructose. No association was observed with total fat intake. DISCUSSION: In this population, a high percentage of calories from carbohydrate, but not from fat, was associated with increased breast cancer risk. This relation deserves to be investigated further, particularly in populations highly susceptible to insulin resistance.     

Body size and breast cancer risk: findings from the European Prospective Investigation into Cancer And Nutrition (EPIC)

The evidence for anthropometric factors influencing breast cancer risk is accumulating, but uncertainties remain concerning the role of fat distribution and potential effect modifiers. We used data from 73,542 premenopausal and 103,344 postmenopausal women from 9 European countries, taking part in the EPIC study. RRs from Cox regression models were calculated, using measured height, weight, BMI and waist and hip circumferences; categorized by cohort-wide quintiles; and expressed as continuous variables, adjusted for study center, age and other risk factors. During 4.7 years of follow-up, 1,879 incident invasive breast cancers were identified. In postmenopausal women, current HRT modified the body size-breast cancer association. Among nonusers, weight, BMI and hip circumference were positively associated with breast cancer risk (all ptrend < or = 0.002); obese women (BMI > 30) had a 31% excess risk compared to women with BMI < 25. Among HRT users, body measures were inversely but nonsignificantly associated with breast cancer. Excess breast cancer risk with HRT was particularly evident among lean women. Pooled RRs per height increment of 5 cm were 1.05 (95% CI 1.00-1.16) in premenopausal and 1.10 (95% CI 1.05-1.16) in postmenopausal women. Among premenopausal women, hip circumference was the only other measure significantly related to breast cancer (ptrend = 0.03), after accounting for BMI. In postmenopausal women not taking exogenous hormones, general obesity is a significant predictor of breast cancer, while abdominal fat assessed as waist-hip ratio or waist circumference was not related to excess risk when adjusted for BMI. Among premenopausal women, weight and BMI showed nonsignificant inverse associations with breast cancer.     

Linear age-course effects on the associations between body mass index,triglycerides, and female breast and male liver cancer risk: An internal replication study of 800,000 individuals

Apart from the consistently observed differential association between obesity and breast cancer risk by menopausal status, the associations between obesity and other metabolic imbalances with risks of cancers have not been systematically investigated across the age-course. We created two random 50–50% cohorts from six European cohorts comprising 813,927 individuals. In the “discovery cohort”, we used Cox regression with attained age as time-scale and tested interactions between body mass index (BMI), blood pressure, plasma glucose, triglycerides and cholesterol, and attained age in relation to cancer risk. Results with a p-value below 0.05 were additionally tested in the “replication cohort” where a replicated result was considered evidence of a linear interaction with attained age. These findings were investigated by flexible parametric survival models for any age-plateaus in their shape of associations with cancer risk across age. Consistent with other studies, BMI was negatively related to breast cancer risk (n cases = 11,723) among younger (premenopausal) women. However, the association remained negative for several years after menopause and, although gradually weakening over age, the association became positive only at 62 years of age. This linear and positive age-interaction was also found for triglycerides and breast cancer, and for BMI and triglycerides in relation to liver cancer among men (n cases = 444). These findings are unlikely to be due to chance owing to the replication. The linear age-interactions in breast cancer may suggest an influence by other age-related factors than menopause; however, further investigation of age-related effect modifiers in both breast and liver cancer is needed.     

Associations of intakes of magnesium and calcium and survival among women with breast cancer: results from Western New York Exposures and Breast Cancer (WEB) Study

Magnesium (Mg) and calcium (Ca) antagonizes each other in (re) absorption, cell cycle regulation, inflammation, and many other physiologic activities. However, few studies have investigated the association between magnesium and calcium intakes and breast cancer survival, and the interaction between calcium and magnesium intake. In a cohort of 1,170 women with primary, incident, and histologically confirmed breast cancer from Western New York State, we examined the relationship between intakes of these two minerals and survival. Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI). Mean follow-up time was 87.4 months after breast cancer diagnosis; there were 170 deaths identified. After adjustment for known prognostic factors, and intakes of energy, total vitamin D and total calcium, higher dietary intake of magnesium was inversely associated with risk of all-cause mortality (HR = 0.50, 95% CI, 0.28-0.90 for highest vs. lowest tertile; p trend = 0.02). Likewise, a marginal association was found for total Magnesium intake from foods and supplements combined (HR = 0.58, 95% CI, 0.31-1.08; p trend = 0.09). The inverse association of higher total magnesium intake with all-cause mortality was primarily presented among postmenopausal women and was stronger among women who had a high Ca:Mg intake ratio (>2.59). There were no clear associations for prognosis with intake of calcium. We found that magnesium intake alone may improve overall survival following breast cancer, and the association may be stronger among those with high Ca:Mg intake ratio.     

Association of diet and mammographic breast density in the Minnesota breast cancer family cohort.

Mammographic breast density is a significant risk factor for breast cancer. The present report analyzes the association of breast density and dietary factors in 1508 women in a historical cohort study of breast cancer families in Minnesota. Diet was assessed by a semiquantitative food frequency questionnaire. Percent breast density was estimated visually by a radiologist experienced in mammography. The association of percent breast density with quartiles of energy-adjusted dietary intakes was examined in analysis of covariance models adjusting for potential confounding effects of age, body mass index, and other covariates as well as correcting for familial correlation. Analyses were performed on all women combined and were also stratified by menopausal status. Among premenopausal women, percent breast density was positively associated with intakes of polyunsaturated fat, polyunsaturated:saturated fat ratio, and vitamins C and E and was inversely associated with saturated fat and total dairy intake. Among postmenopausal women, vitamin B12 was linearly associated with increased breast density. The positive associations for vitamin C and B12 were attributable to supplement intake only. There was a suggestive positive trend between breast density and daily alcohol consumption in both premenopausal and postmenopausal women. After adjustment for other sources of alcohol, only wine intake among postmenopausal women was significant such that white wine showed a positive association and red wine an inverse association with percent breast density. There was no association with other examined dietary factors. The cross-sectional differences in breast density across levels of dietary factors were small in magnitude but may have implications for breast cancer risk.     

A Pooled Analysis of 12 Cohort Studies of Dietary Fat, Cholesterol and Egg Intake and Ovarian Cancer

Fat and cholesterol are theorized to promote ovarian carcinogenesis by increasing circulating estrogen levels. Although case–control studies have reported positive associations between total and saturated fat intake and ovarian cancer risk, two cohort studies have observed null associations. Dietary cholesterol and eggs have been positively associated with ovarian cancer risk. A pooled analysis was conducted on 12 cohort studies. Among 523,217 women, 2,132 incident epithelial ovarian cancer cases were identified. Study-specific relative risks (RR) and 95% confidence intervals (CI) were calculated by Cox proportional hazards models, and then pooled using a random effects model. Total fat intake was not associated with ovarian cancer risk (pooled multivariate RR = 1.08, 95% CI 0.86–1.34 comparing ≥45 to 30–<35% of calories). No association was observed for monounsaturated, polyunsaturated, trans-unsaturated, animal and vegetable fat, cholesterol and egg intakes with ovarian cancer risk. A weakly positive, but non-linear association, was observed for saturated fat intake (pooled multivariate RR = 1.29, 95% CI: 1.01–1.66 comparing highest versus lowest decile). Results for histologic subtypes were similar. Overall, fat, cholesterol and egg intakes were not associated with ovarian cancer risk. The positive association for saturated fat intake at very high intakes merits further investigation.     

Post-diagnosis dietary factors and survival after invasive breast cancer

Little is known about the effects of diet after breast cancer diagnosis on survival. We prospectively examined the relation between post-diagnosis dietary factors and breast cancer and all-cause survival in women with a history of invasive breast cancer diagnosed between 1987 and 1999 (at ages 20-79 years). Diet after breast cancer diagnosis was measured using a 126-item food frequency questionnaire. Among 4,441 women without a history of breast cancer recurrence prior to completing the questionnaire, 137 subsequently died from breast cancer within 7 years of enrollment. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated for intake of macronutrients as well as selected micronutrients and food groups from Cox proportional hazards regression models. After adjustment for factors at diagnosis (age, state of residence, menopausal status, smoking, breast cancer stage, alcohol, history of hormone replacement therapy), interval between diagnosis and diet assessment, and at follow-up (energy intake, breast cancer treatment, body mass index, and physical activity), women in the highest compared to lowest quintile of intake of saturated fat and trans fat had a significantly higher risk of dying from any cause (HR = 1.41, 95% CI = 1.06-1.87, P trend = 0.03) for saturated fat; (HR = 1.78, 95% CI = 1.35-2.32, P trend = 0.01) for trans fat intake. Associations were similar, though did not achieve statistical significance, for breast cancer survival. This study suggests that lower intake of saturated and trans fat in the post-diagnosis diet is associated with improved survival after breast cancer diagnosis.     

Dietary patterns and survival after breast cancer diagnosis.

PURPOSE: There is little prior study of major dietary patterns and breast cancer survival. METHODS: Patients included 2,619 Nurses' Health Study participants who were diagnosed with invasive breast cancer between 1982 and 1998 and completed a dietary questionnaire more than 1 year after diagnosis. Participants were followed through 2002 (median = 9 years). During follow-up, 414 patients died of any cause, 242 patients died of breast cancer, and 172 patients died from causes other than breast cancer. Women with in situ or metastatic disease at diagnosis were excluded. We used Cox proportional hazards models to evaluate prospective associations of prudent and Western dietary patterns assessed both before and after diagnosis with time to event after diagnosis. RESULTS: In multivariate-adjusted analyses assessed after diagnosis, the Western and prudent dietary patterns were unrelated to all-cause or breast cancer mortality. However, compared with women with the lowest intake of the prudent dietary pattern, the relative risks (and 95% CIs) of death from causes other than breast cancer were 0.85 (95% CI, 0.53 to 1.35), 0.74 (95% CI, 0.45 to 1.21), 0.70 (95% CI, 0.42 to 1.17), and 0.54 (95% CI, 0.31 to 0.95; P = .03, from lowest to highest quintile of intake). In contrast, the Western dietary pattern was positively associated with this outcome (P = .04). Results for the assessment of dietary patterns before diagnosis were similar, except the prudent dietary pattern was unrelated to mortality. CONCLUSION: A higher intake of the prudent pattern and a lower intake of the Western pattern may protect against mortality from causes unrelated to breast cancer.     

Epidemiologic studies of diet and cancer

Correlational studies comparing national diets with mortality rates of colon and breast cancer indicate very strong associations, on the order of correlation coefficients = +0.8, between intake of meat or animal fat and rates of both these cancers. However, both case-control and prospective cohort studies have found little positive association between these dietary factors and risk of breast cancer. This lack of a positive association, at least in the largest prospective study, cannot be explained by insufficient variability in diet in the study population or by imprecision in the dietary questionnaire, although it is possible that the latent period between dietary intake and diagnosis of breast cancer is so long that an effect of fat intake could not be seen. However, the normal risk of breast cancer in Seventh-Day Adventists and vegetarian nuns, the small increase in breast cancer rates in Japan since World War II despite a 2.5-fold increase in fat intake, and the lack of correlation between fat intake and risk of breast cancer mortality among rural Chinese populations all suggest that a major association between meat and animal fat intake and risk of breast cancer is unlikely or weak. In contrast, the striking international correlations between intake of meat and animal fat and colon cancer rates are generally supported by case-control and cohort studies. In particular, associations between intake of red meat and colon cancer have been seen in many, although not all, of these studies.(ABSTRACT TRUNCATED AT 250 WORDS)     

Adult dietary fat intake and ovarian cancer risk

The association of dietary fat intake with ovarian cancer risk has been inconsistent across populations. We examined dietary fat intake, overall and by type and ovarian cancer risk in two prospective cohort studies. We assessed long-term dietary fat intake among Nurses’ Health Study (NHS) and NHSII participants using food frequency questionnaires administered every 2–4 years beginning in 1984 and 1991, respectively. We examined cumulative energy-adjusted intake of total fat, specific types of fat (animal, vegetable, saturated, monounsaturated, polyunsaturated and trans fat) and cholesterol. We identified 700 ovarian cancer cases in NHS and 196 in NHSII with dietary information. Cox proportional hazards regression was used to estimate associations between intake and ovarian cancer risk. Dietary fat intake changed over time in both cohorts and was lower in NHS than NHSII. Higher cumulative average intakes of animal fat and cholesterol were significantly positively associated with risk of ovarian cancer in NHS (relative risk [RR] comparing extreme quartiles = 1.57, 95% CI: 1.20, 2.06 and 1.35, 95% CI: 1.08, 1.69, respectively), but not in NHSII. Other dietary fat sources were not clearly associated with risk in either population. We did not observe clear associations between dietary fat and ovarian cancer risk in two large prospective cohort studies.     

Dietary fat and prostate cancer survival

Objectives: Relationships between dietary factors and the incidence of prostate cancer have emerged from epidemiologic and laboratory studies, but there are no published data on the relationship between diet and disease progression among prostate cancer patients. We studied the association between dietary fat intake and prostate cancer survival.Methods: We prospectively followed 384 men diagnosed with prostate cancer between 1990 and 1992 in the Quebec City area. On average 3 months following diagnosis, trained nutritionists interviewed the men on their usual diet using a diet history questionnaire. Deaths during follow-up were documented through record linkage with the provincial mortality file and review of hospital records. Cox proportional hazard models were used to estimate the relative risk of dying from prostate cancer associated with terciles of fat intake, expressed as percent of dietary energy, while controlling for prognostic factors and total energy.Results: The median duration of follow-up was 5.2 years. During the follow-up period 32 patients died of prostate cancer and 39 died of other causes. After controlling for grade, clinical stage, initial treatment, age and total energy intake, we found that saturated fat consumption was significantly associated with disease-specific survival (two-sided p-value = 0.008). Compared to men in the lower tercile of saturated fat, those in the upper tercile had three times the risk of dying from prostatecancer (relative risk = 3.1, 95% confidence interval: 1.3–7.7).Conclusions: Our findings suggest that saturated fat is related to disease-specific survival and that, if this relation is causal, a moderate reduction of its intake might reduce the risk of dying from prostate cancer.