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The Diet and Androgen-5 (DIANA-5) trial aimed at testing whether a dietary change based on the Mediterranean diet and on macrobiotic principles can reduce the incidence of breast cancer (BC)-related events. We analyzed the adherence to the DIANA-5 dietary recommendations by randomization group after 1 year of intervention. We evaluated the association between dietary adherence and changes in body weight and metabolic syndrome (MS) parameters. BC women aged 35–70 years were eligible. After the baseline examinations, women were randomized into an intervention group (IG) or a control group (CG). A total of 1344 BC women (689 IG and 655 CG) concluded the first year of dietary intervention. IG showed greater anthropometric and metabolic improvements compared to CG. These changes were significantly associated with increased adherence to the dietary recommendations. Women who increased recommended foods consumption or reduced discouraged foods consumption showed an Odds Ratio (OR) of 1.37 (0.70–2.67) and 2.02 (1.03–3.98) to improve three or more MS parameters. Moreover, women in the higher category of dietary change showed a four times higher OR of reducing body weight compared to the lower category (p &lt, 0.001). The DIANA-5 dietary intervention is effective in reducing body weight and MS parameters.

This study examines the correlation of acute and habitual dietary intake of flavan-3-ol monomers, proanthocyanidins, theaflavins, and their main food sources with the urinary concentrations of (+)-catechin and (-)-epicatechin in the European Prospective Investigation into Cancer and Nutrition study (EPIC). Participants (N = 419, men and women) provided 24-h urine samples and completed a 24-h dietary recall (24-HDR) on the same day. Acute and habitual dietary data were collected using a standardized 24-HDR software and a validated dietary questionnaire, respectively. Intake of flavan-3-ols was estimated using the Phenol-Explorer database. Concentrations of (+)-catechin and (-)-epicatechin in 24-h urine were analyzed using tandem mass spectrometry after enzymatic deconjugation. Simple and partial Spearman’s correlations showed that urinary concentrations of (+)-catechin, (-)-epicatechin and their sum were more strongly correlated with acute than with habitual intake of individual and total monomers (acute rpartial = 0.13–0.54, p &lt, 0.05, and habitual rpartial = 0.14–0.28, p &lt, 0.01), proanthocyanidins (acute rpartial = 0.24–0.49, p &lt, 0.001, and habitual rpartial = 0.10–0.15, p &lt, 0.05), theaflavins (acute rpartial = 0.22–0.31, p &lt, and habitual rpartial = 0.20–0.26, p &lt, 0.01), and total flavan-3-ols (acute rpartial = 0.40–0.48, p &lt, and habitual rpartial = 0.23–0.33, p &lt, 0.001). Similarly, urinary concentrations of flavan-3-ols were weakly correlated with both acute (rpartial = 0.12–0.30, p &lt, 0.05) and habitual intake (rpartial = 0.10–0.27, p &lt, 0.05) of apple and pear, stone fruits, berries, chocolate and chocolate products, cakes and pastries, tea, herbal tea, wine, red wine, and beer and cider. Moreover, all comparable correlations were stronger for urinary (-)-epicatechin than for (+)-catechin. In conclusion, our data support the use of urinary concentrations of (+)-catechin and (-)-epicatechin, especially as short-term nutritional biomarkers of dietary catechin, epicatechin and total flavan-3-ol monomers.

Background Food biodiversity, encompassing the variety of plants, animals, and other organisms consumed as food and drink, has intrinsic potential to underpin diverse, nutritious diets and improve Earth system resilience. Dietary species richness (DSR), which is recommended as a crosscutting measure of food biodiversity, has been positively associated with the micronutrient adequacy of diets in women and young children in low- and middle-income countries (LMICs). However, the relationships between DSR and major health outcomes have yet to be assessed in any population. Methods and findings We examined the associations between DSR and subsequent total and cause-specific mortality among 451,390 adults enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) study (1992 to 2014, median follow-up: 17 years), free of cancer, diabetes, heart attack, or stroke at baseline. Usual dietary intakes were assessed at recruitment with country-specific dietary questionnaires (DQs). DSR of an individual’s yearly diet was calculated based on the absolute number of unique biological species in each (composite) food and drink. Associations were assessed by fitting multivariable-adjusted Cox proportional hazards regression models. In the EPIC cohort, 2 crops (common wheat and potato) and 2 animal species (cow and pig) accounted for approximately 45% of self-reported total dietary energy intake [median (P10–P90): 68 (40 to 83) species consumed per year]. Overall, higher DSR was inversely associated with all-cause mortality rate. Hazard ratios (HRs) and 95% confidence intervals (CIs) comparing total mortality in the second, third, fourth, and fifth (highest) quintiles (Qs) of DSR to the first (lowest) Q indicate significant inverse associations, after stratification by sex, age, and study center and adjustment for smoking status, educational level, marital status, physical activity, alcohol intake, and total energy intake, Mediterranean diet score, red and processed meat intake, and fiber intake [HR (95% CI): 0.91 (0.88 to 0.94), 0.80 (0.76 to 0.83), 0.69 (0.66 to 0.72), and 0.63 (0.59 to 0.66), respectively; PWald < 0.001 for trend]. Absolute death rates among participants in the highest and lowest fifth of DSR were 65.4 and 69.3 cases/10,000 person-years, respectively. Significant inverse associations were also observed between DSR and deaths due to cancer, heart disease, digestive disease, and respiratory disease. An important study limitation is that our findings were based on an observational cohort using self-reported dietary data obtained through single baseline food frequency questionnaires (FFQs); thus, exposure misclassification and residual confounding cannot be ruled out. Conclusions In this large Pan-European cohort, higher DSR was inversely associated with total and cause-specific mortality, independent of sociodemographic, lifestyle, and other known dietary risk factors. Our findings support the potential of food (species) biodiversity as a guiding principle of sustainable dietary recommendations and food-based dietary guidelines., Dr. Giles T. Hanley-Cook and colleagues, analyzed data from a prospective cohort study to investigate the association between food biodiversity, and total and cause-specific mortality in nine European countries., Author summary Why was this study done? Facilitating populations to transition to diets that are both nutritious and sustainable is a key challenge for human and environmental health. Dietary (between food group) diversity is increasingly advocated within the framework of dietary recommendations and food-based dietary guidelines. Food biodiversity, defined as the variety of plants, animals, and other organisms that are consumed between and within food groups globally, is a potential lever for improved public and planetary health. Nevertheless, scientific evidence is a prerequisite to understand the associations between metrics of food biodiversity and major health outcomes. Thus far, evidence regarding the positive association between dietary species richness (DSR), i.e., the absolute number of unique species consumed by an individual, and micronutrient adequacy of diets is limited to low- and middle-income countries (LMICs). What did the researchers do and find? This study assessed the relationships between DSR and all-cause and cause-specific mortality in the large and diverse European population that constitutes the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, including 451,390 adults from 9 European countries with 46,627 recorded deaths between 1992 and 2014. In addition, this study provides a picture of the usual consumption of food and beverage species across 9 European countries. Higher DSR was inversely associated with total mortality rate and cause-specific deaths due to cancer, heart disease, respiratory disease, and digestive disease, independent of other established components of diet quality. Overall, self-reported total energy intake was derived from a narrow range of species. What do these findings mean? Our findings add to the evidence base on the relevance of food biodiversity, both between and within food groups, as a basis for public health strategies championing dietary (species) diversity in European countries. These findings will play a key role in communications about the merits of biodiversity stewardship, in the context of ongoing European/global debate on nutritious and sustainable diets for a stable Earth system.

BackgroundRandomized controlled clinical trials require management effort, involving huge organizational, economic and informatics investments. Information technology offers opportunities to approach clinical trial methodology in new ways. However, there are only a few reports of computerized data and drug management systems.ObjectiveThis paper describes a novel software created specifically for the management of a randomized trial of diet and metformin in people with metabolic syndrome (the Me.Me.Me. trial).MethodsMe.Me.Me. is an ongoing phase III randomized controlled trial in healthy people with metabolic syndrome to test the hypothesis that comprehensive lifestyle changes and/or metformin can prevent age-related chronic non-communicable diseases. To manage all the phases of the trial, we created a software which is a state pattern machine, user friendly, web-based, able to maintain the correct balance between randomization groups, and structured in various levels of security in order to guarantee the participant's privacy and compliance with the study protocol. The software achieves budget savings: drug management is not based on patients' packs, but on the actual need for drugs according to each participant's "state", with strict guidelines for the handling and supply of medication.ResultsThe trial is ongoing and recruitment will close on August 31, 2018. To date, 11737 bottles of metformin/placebo have been dispensed to 1054 randomized participants, with drug savings of 29.5%.ConclusionsA software which takes into account the "state" of participant might be a powerful resource for developing and managing clinical trials, helping avoid poor treatment allocation, and wastage of drugs and money.Me.me.me. trialEUDRACT no. 2012-005427-32. ClinicalTrials.gov Identifier: NCT02960711.

Introduction: DianaWeb is a community-based participatory project open to Italian breast cancer patients. The aim of the study was to assess the effectiveness of a lifestyle intervention in improving the prognosis after patients received diagnosis and surgery/chemotherapy. The DianaWeb study uses an interactive Web site (www.dianaweb.org) to monitor patients’ lifestyles, and to obtain clinical and anthropometric data. Although detailed instructions for measuring height, body weight, waist circumference, and blood pressure (BP) are provided, individuals might tend to overestimate or underestimate those parameters. The aims of the present study were: (1) to compare self-recorded data with those from standardized ambulatory measurements; (2) to determine the trueness of a subject classification in the overweight/obesity or hypertensive subgroup on the basis of the patients’ own measurements and estimates; and (3) to identify confounding variables. Patients and Methods: We compared self-reported with ambulatory measurements in a subgroup of 200 randomly selected women of approximately 1000 enrolled in the DianaWeb study (from September 2016 to March 2018). Results: Bland–Altman analysis showed a close agreement for self-reported and ambulatory-measured height, weight, and body mass index (BMI). On the contrary, women overestimated waist circumference and underestimated BP. Cohen κ statistics showed fair agreement only for hypertension. Binary logistic regression analysis showed that BMI and diastolic BP self-measurements were biased according to age. Conclusion: The results suggest that self-reported height, weight, and BMI are satisfactorily accurate for patients in the DianaWeb study, such as accuracies of overweight/obese and central obesity classification, and that these data can be useful for our research. We evaluated the validity of self-reported anthropometric measures in 200 women of approximately 1000 participating the DianaWeb study, a community-based participatory research offered to Italian breast cancer patients. Self-reported height, weight, and body mass index resulted to be satisfactorily accurate, and self-reported weight, height, and waist circumference were appropriate to estimate overweight/obese and central obesity in participants of the DianaWeb study.

Insulin may affect breast cancer (BC) risk and prognosis. Exercise reduces insulin in obese BC survivors. We designed a randomised controlled trial to test the effect of an aerobic exercise intervention (AEI) on insulin parameters and body composition in non-obese BC women without insulin resistance. Thirty-eight BC women were randomised into an intervention group (IG = 18) or control group (CG = 20). IG participated in a structured AEI for 3 months, while CG received only the Word Cancer Research Fund/American Institute Cancer Research (WCRF/AICR) recommendation to be physically active. Fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR) index, metabolic parameters and body composition were collected at baseline and after the AEI. IG reduced insulin and HOMA-IR index by 15% and 14%, while CG increased these parameters (+12% and +16%). Insulin changed differently over time in the two randomised groups (pinteraction = .04). The between-group differences in the change of insulin (IG = -1.2 μU/ml versus CG = +0.8 μU/ml) and HOMA-IR index (IG = -0.26 versus CG = +0.25) were respectively significant (p = .04) and non-significant (p = .06). IG significantly improved lower limb muscle mass in comparison with CG (p = .03). A structured AEI may improve insulin, HOMA-IR index and body composition in non-obese BC survivors without insulin resistance.

Metabolic syndrome (MetS), conventionally defined by the presence of at least three out of five dismetabolic traits (abdominal obesity, hypertension, low plasma HDL-cholesterol and high plasma glucose and triglycerides), has been associated with both breast cancer (BC) incidence and prognosis. We investigated the association between the prevalence of MetS and a score of adherence to the World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) recommendations for the prevention of cancer in a cross-sectional study of BC patients. The DIet and ANdrogen-5 study (DIANA-5) for the prevention of BC recurrences recruited 2092 early stage BC survivors aged 35-70. At recruitment, all women completed a 24-hour food frequency and physical activity diary on their consumption and activity of the previous day. Using these diaries we created a score of adherence to five relevant WCRF/AICR recommendations. The prevalence ratios (PRs) and 95% confidence intervals (CIs) of MetS associated with the number of recommendations met were estimated using a binomial regression model. The adjusted PRs of MetS decreased with increasing number of recommendations met (p 0.001). Meeting all the five recommendations versus meeting none or only one was significantly associated with a 57% lower MetS prevalence (95% CI 0.35-0.73). Our results suggest that adherence to WCRF/AICR recommendations is a major determinant of MetS and may have a clinical impact.

Introduction Breast cancer (BC) survivors are constantly increasing, and research investment for the identification of modifiable factors associated with BC recurrences is increasing too. The Western lifestyle, characterized by low levels of physical activity and a diet rich in refined carbohydrates, animal fats, and protein, is associated with high prevalence of metabolic syndrome, insulin resistance, and high serum levels of sex hormones and growth factors. Discussion The present work summarizes the association between all these metabolic and hormonal factors with the risk of BC and BC recurrences. Since metabolic syndrome and endocrine imbalance may be favorably modified through comprehensive change in lifestyle, dietary changes should be recommended both for BC prevention and treatment.