Diet Quality Indices and Postmenopausal Breast Cancer Survival

Kim, Esther H.-J.; Willett, Walter C.; Fung, Teresa T.; Rosner, Bernard; Holmes, Michelle D.

doi:10.1080/01635581.2011.535963

Cited by 93 publications

(126 citation statements)

References 34 publications

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“…In an analysis of participants with breast cancer from the Nurses' Health Study (NHS), both the prudent and Western dietary pattern was unrelated to all-cause or breast cancer mortality [21]. In a subsequent study in 2,729 women with invasive stage 1-3 breast cancer, again from the NHS, no association was found between 4 dietary quality scores and breast cancer-related death [22].…”

Section: Role Of Dietary Patternsmentioning

confidence: 99%

Can Nutrition Lower the Risk of Recurrence in Breast Cancer

Weigl

Hauner

2018

Breast Care

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Background: The impact of diet on breast cancer prognosis is poorly understood. Therefore, we conducted a literature search summarizing the current evidence on the effect of diet on breast cancer recurrence and mortality. Methods: The PubMed database was searched for original studies, reviews, and meta-analyses published between 2010 and 2017. Studies related to diet, dietary patterns, special diets or specific dietary factors, and breast cancer recurrence or mortality were included. Results: Adherence to high diet quality indices (relative risk (RR) 0.74, 95% confidence interval (CI) 0.60-0.90) and a prudent/healthy dietary pattern (RR 0.76, 95% CI 0.60-0.95) may have a beneficial effect on breast cancer prognosis, whereas a Western/unhealthy diet is associated with poorer overall mortality (RR 1.44, 95% CI 1.17-1.77). For low-fat diets, the findings are inconsistent. A positive effect of the Mediterranean Diet was found for all-cause mortality, but no beneficial effect from other diets such as low-carbohydrate, ketogenic or vegetarian/vegan diets was observed. Alcohol consumption was associated with an increased risk for breast cancer recurrence. No general recommendation for soy exists, but occasional intake seems to be acceptable, whereas the use of other supplements is not justified. Conclusion: Adherence to high-quality diets and a prudent/healthy dietary pattern seem to be beneficial for breast cancer prognosis. No clear evidence for a benefit from special diets, soy products, or other supplements was found.

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Section: Role Of Dietary Patternsmentioning

confidence: 99%

Can Nutrition Lower the Risk of Recurrence in Breast Cancer

Weigl

Hauner

2018

Breast Care

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“…3) The aMED was developed on the basis of key findings from epidemiologic studies in Europe from the 1960s that investigated mortality risk factors, and the applied score includes modifications for a non-Greek population (39)(40)(41)(42); and 4) The BSD was modeled on previous analyses of Nordic-style dietary patterns based on the BSD Pyramid created by the Finnish Heart Association, Finnish Diabetes Association, and University of Eastern Finland (45). The aMED score excluded legume intake because of low consumption in the study population (peas were included in the starchy vegetables group).…”

Section: Dietary Patternsmentioning

confidence: 99%

“…3 The aMED has 8 components: vegetables, fruits, nuts, whole grains, red and processed meat, fish, alcohol, and MP:S. Participants were assigned a score of 1 if intake was greater than or equal to the median number of servings per day for vegetables, legumes, fruit, nuts, whole grains, fish, and the M:S and less than the median for red and processed meat and for ethanol consumption 5-25 g/d (men); otherwise a score of 0 was assigned. The total score sums the dichotomous variables (39)(40)(41)(42). 4 The HDI has 7 components: specific cutoffs for percentage of energy as SFAs, PUFAs, protein, and free sugars; grams of dietary fiber, fruits, and vegetables (excluding potatoes); and milligrams of cholesterol.…”

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confidence: 99%

Identifying biomarkers of dietary patterns by using metabolomics

Playdon

Moore

Derkach

et al. 2017

The American Journal of Clinical Nutrition

170

140

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Background: Healthy dietary patterns that conform to national dietary guidelines are related to lower chronic disease incidence and longer life span. However, the precise mechanisms involved are unclear. Identifying biomarkers of dietary patterns may provide tools to validate diet quality measurement and determine underlying metabolic pathways influenced by diet quality. Objective: The objective of this study was to examine the correlation of 4 diet quality indexes [the Healthy Eating Index (HEI) 2010, the Alternate Mediterranean Diet Score (aMED), the WHO Healthy Diet Indicator (HDI), and the Baltic Sea Diet (BSD)] with serum metabolites. Design: We evaluated dietary patterns and metabolites in male Finnish smokers (n = 1336) from 5 nested case-control studies within the AlphaTocopherol, Beta-Carotene Cancer Prevention Study cohort. Participants completed a validated food-frequency questionnaire and provided a fasting serum sample before study randomization (1985)(1986)(1987)(1988). Metabolites were measured with the use of mass spectrometry. We analyzed cross-sectional partial correlations of 1316 metabolites with 4 diet quality indexes, adjusting for age, body mass index, smoking, energy intake, education, and physical activity. We pooled estimates across studies with the use of fixed-effects meta-analysis with Bonferroni correction for multiple comparisons, and conducted metabolic pathway analyses. Results: The HEI-2010, aMED, HDI, and BSD were associated with 23, 46, 23, and 33 metabolites, respectively (17, 21, 11, and 10 metabolites, respectively, were chemically identified; r-range: 20.30 to 0.20; P = 6 3 10 215 to 8 3 10 26 ). Food-based diet indexes (HEI-2010, aMED, and BSD) were associated with metabolites correlated with most components used to score adherence (e.g., fruit, vegetables, whole grains, fish, and unsaturated fat). HDI correlated with metabolites related to polyunsaturated fat and fiber components, but not other macro-or micronutrients (e.g., percentages of protein and cholesterol). The lysolipid and food and plant xenobiotic pathways were most strongly associated with diet quality.Conclusions: Diet quality, measured by healthy diet indexes, is associated with serum metabolites, with the specific metabolite profile of each diet index related to the diet components used to score adherence. This trial was registered at clinicaltrials.gov as NCT00342992. Am J Clin Nutr 2017;105:450-65.

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“…A valuable alternative was constituted by a priori scores, defined on dietary guidelines and recommendations. The Healthy Eating Index (HEI), the Diet Quality Index (DQI) and the Recommended Food Score (RFS) are recent examples, but have little or no association with BC risk and/or mortality (21,23,24) . More robust evidence with BC risk and mortality was produced by using scores integrating dietary components with other lifestyle factors such as body fatness, physical activity, alcohol consumption and/or smoking habits (25)(26)(27) .…”

mentioning

confidence: 99%

Adherence to the World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and breast cancer risk in the Cancer de Màma (CAMA) study

Fanidi

Ferrari

Biessy

et al. 2015

Public Health Nutr.

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Objective: We investigated the association between adherence to the recommendations of the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) and breast cancer (BC) risk in the Cancer de Màma (CAMA) study in a Mexican population. Design: Population-based case-control study. Subjects: Incident BC cases (n 1000) and controls (n 1074) matched on age, region and health-care system were recruited. Setting: In-person interviews were conducted to assess BC risk factors and habitual diet was assessed with an FFQ. Conformity to the WCRF/AICR recommendations was evaluated through a score incorporating seven WCRF/ AICR components (body fatness, physical activity, foods and drinks that promote weight gain, plant foods, animal foods, alcoholic drinks and breast-feeding), with high scores indicating adherence to the WCRF/AICR recommendations. Results: No statistically significant associations between WCRF/AICR score and risk of BC were observed. After excluding BMI from the WCRF/AICR score, the top quartile was associated with a decreased BC risk overall, with OR Q4-Q1 = 0·68 (95 % CI 0·49, 0·92, P trend = 0·03), and among postmenopausal women, with OR Q4-Q1 = 0·60 (95 % CI 0·39, 0·94, P trend = 0·03). Inverse associations were observed between BMI and risk of BC overall and among premenopausal women, with OR = 0·57 (95 % CI 0·42, 0·76, P trend < 0·01) and 0·48 (95 % CI 0·31, 0·73, P trend < 0·01), respectively. Physical activity level was inversely associated with BC risk. Conclusions: The WCRF/AICR index was not related with BC risk in the CAMA study. A combination of six components excluding BMI showed strong protective associations, particularly in postmenopausal women. Further prospective studies are required to clarify the role of adherence to WCRF/AICR recommendations, particularly with respect to BMI, in the Mexican population. Keywords Breast cancer Diet Physical activity Weight managementMexican women

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Diet Quality Indices and Postmenopausal Breast Cancer Survival

Cited by 93 publications

References 34 publications

Can Nutrition Lower the Risk of Recurrence in Breast Cancer

Can Nutrition Lower the Risk of Recurrence in Breast Cancer

Identifying biomarkers of dietary patterns by using metabolomics

Adherence to the World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and breast cancer risk in the Cancer de Màma (CAMA) study

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