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IntroductionNutrition transition has emerged as an important concept in health research used to describe shifts in dietary consumption and energy expenditure that coincide with economic, demographic and epidemiological changes at a population level. Better understanding of the shifts in dietary patterns across populations and their drivers could possibly hold the key to prevention of diet-related disease risk. An increasing number of studies have reported on nutrition transition in populations around the world, however, global evidence has not been summarised.ObjectiveThis scoping review is aimed to identify, explore and map the literature on nutrition transition with a specific focus on dietary changes in populations across the world. The review would allow better clarification around the concept of nutrition transition, classification of published studies and provide a framework for further research.Methods and analysisThe scoping review will be designed based on the methodology by Arksey and O’Malley, refined by Levac et al. and developed in conjunction with guidance on conducting systematic scoping reviews by Peters et al. The main research question addressed by the scoping review will be: ‘What is the evidence on nutrition transition defined based on dietary changes reported in general adult population across the world?’ Electronic databases (PubMed, ScienceDirect and Web of Science), grey literature sources and the reference lists of key studies will be searched to identify studies appropriate for inclusion in the review. Two reviewers will independently screen all abstracts and full-text studies for inclusion. Data will be abstracted into tables and logically organised according to items addressed in the specific research questions.Ethics and disseminationDissemination of results will be sought through a peer-reviewed publication, conference presentations and stakeholder meetings. The data used are from publicly available secondary sources, so no ethical review would be required for this study.

Introduction:Mental health disorders constitute a growing disease burden in France. In particular, hospitalized patients with depressive or bipolar disorders suffer from weight gain impairing adherence to treatment and the quality of life. The objective of this preliminary study is to better understand determinants of weight gain and their synergetic effects, with the ultimate aim to develop a screening tool identifying at risk patients.Material and methods:Subjects were recruited at the private psychiatric clinic of Littoral, Rang-du-Fliers in the North of France according to pre-definite inclusion criteria. Data assessment has been based on 1) a retrospective case-control study using electronic medical records of depressive or bipolar patients (n = 207); 2) a prospective observational study (n = 20) using the medical records, and additional questionnaires at T0 (interview-administered) and T1 (self-administered) after an average length of hospital stay of 24.8 days (± 6.3) and 3) a cross-sectional study in depressive patients (n = 40) under psychotropic treatment at the day hospital, using the medical records and an interview-administered questionnaire. Descriptive and analytical statistics (Spearman rank correlations, binary logistic regression) were performed with SPSS statistics 17.0.Results:The mean age of all patients was 49.3 years (± 10.7). Patients’ weight change after hospital stay varied in the retrospective study from + 0.5 kg (± 1.98) [min: - 5.4 kg; max: + 8,4kg]. Patients at the day hospital had an mean psychotropic treatment duration of 7.8 years (± 7.8) and gained on average 17.6 kg (± 10,01). Weight gain was particularly related to the use of tricyclic antidepressants, classic antipsychotics and atypical antipsychotics. All psychotropic drugs were significantly associated with a change in eating behavior (rs = 0.37) which was significantly associated with weight gain (rs = 0.40). All studies observed significant associations between weight gain and a lower socio-economic profile (low financial resources, few social contacts, low level of education), polymedication and a sedentary lifestyle with a higher tobacco consumption and less sleeping hours.Discussion:This preliminary study confirms the complex interaction between psychotropic treatments, the modification of eating behavior which can be triggered by other determinants of weight gain in patients with depressive or bipolar disorders, such as tobacco consumption. The results provide new perspectives to create an innovative screening tool to improve the nutritional care in at risk patients. The development of such a tool is ongoing.

IntroductionThe loss of autonomy in elderly varies according to the individual health status, but also to the social and psychological environment. Multiple risk factors play a role, including limited access to a balanced diet, physical inactivity or a poor social network. Prevention programs must therefore be based on a multidimensional approach, but are rarely studied with regard to their effectiveness.Materials and methodsThe objective of the Auton'Al 60 program is to prevent the loss of autonomy related to diet, physical activity and mental health in elderly, aged 60 to 89, in the county of Oise, North of France. Between February and July 2018, 7 different prevention workshops were conducted in 5 geographical areas (urban and rural). A blog and a monthly newsletter have been created to limit the loss to follow- up. Evaluation was based on an in-depth interview at T0 inquiring about the level of autonomy, the dietary habits and the health status, as well as on 2 self-administered questionnaires during and at the end of the program. In addition, each workshop has been evaluated separately according to key indicators. Statistical analysis was performed using SPSS 17.Results69 workshops have been completed during 5 months. In total, 91 subjects (27.8% men - 71.9% women) participated in at least one workshop, with a mean age of 69.1 years (± 6.3). 72.6% of the subjects were present at 6 or 7 workshops, and 49.5% participated in all activities. A state of loss of autonomy was reported by 6.7% of the participants. 32.6% of the population were chronic-disease-free and 43.8% had a normal BMI (kg / m2). The prevalence of obesity was 15.7%. The program showed effectiveness to decrease the consumption of high-fat products in 52.9% as well as the consumption of sugary products in 60.9% of the participants. Furthermore, 23.2% of the subjects started a new social activity during the program. However, compared to other age groups observed fragility seemed to be particularly high in elderly aged from 66 to 69 years.ConclusionThe Auton'Al 60 program confirms the heterogeneity in the level of autonomy, health status and health behavior in elderly. The multidimensional approach has shown satisfactory effectiveness. Prevention strategies have been developed for isolated or low-income subjects and are under current evaluation.

BACKGROUND: New technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications. \ud \ud \ud \ud METHODS: A comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes. \ud \ud \ud \ud RESULTS: Most of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology. \ud \ud \ud \ud CONCLUSIONS: Dietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.

The idea that sugar feeds the tumor cells is relayed by some health professionals and media alike. Patients may be torn between what they read in the media and their food preferences during and after treatment. With this survey, we aim at understanding the perception and overall consumption patterns of sugar in cancer patients together with possible physiological and psychological triggers. We decided not to include quantitative nutritional measures of the sugar consumption. The survey was distributed in a hospital setting and through a cancer support online network. Results have shown that opinion on sugar was globally "average". However, there were differences depending on sex and age. Half of the patients declared having a decreased consumption of sugar and sweet products while 26% declared an increased consumption. When looking at psychological triggers to consumption, the weight of fatigue and worry increased after cancer diagnosis compared to before. Environmental triggers such as mixed messages from health professionals or the media need to be further investigated. In line with ESPEN guidelines, we advise to maintain moderate sugar intake as part of a healthy diet to prevent malnutrition as a first line of defense against cancer-associated morbidity and mortality.

OA embargo tt is unknown whether dietary recommendations for cancer prevention are applicable to the elderly. We analyzed WCRF/AICR recommendations in cohorts of European and U.S. adults ages 60 years and above.Individual participant data meta-analysis included 362,114 participants (43% women), from seven prospective cohort studies, free from cancer at enrollment. The WCRF/AICR diet score was based on: (i) energy-dense foods and sugary drinks, (ii) plant foods, (iii) red and processed meat, and (iv) alcoholic drinks. Cox proportional hazards regression was used to examine the association between the diet score and cancer risks. Adjusted, cohort-specific HRs were pooled using random-effects meta-analysis. Risk advancement periods (RAP) were calculated to quantify the time period by which the risk of cancer was postponed among those adhering to the recommendations.After a median follow-up of 11 to 15 years across cohorts, 70,877 cancer cases were identified. Each one-point increase in the WCRF/AICR diet score [range, 0 (no) to 4 (complete adherence)] was significantly associated with a lower risk of total cancer [HR, 0.94; 95% confidence interval (CI), 0.92-0.97], cancers of the colorectum (HR, 0.84; 95% CI, 0.80-0.89) and prostate (HR, 0.94; 95% CI, 0.92-0.97), but not breast or lung. Adherence to an additional component of the WCRF/AICR diet score significantly postponed the incidence of cancer at any site by 1.6 years (RAP, -1.6; 95% CI, -4.09 to -2.16).Adherence to WCRF/AICR dietary recommendations is associated with lower risk of cancer among older adults.Dietary recommendations for cancer prevention are applicable to the elderly. Cancer Epidemiol Biomarkers Prev; 26(1); 136-44. ©2016 AACR. SHERPA/RoMEO Database Pre-Print: erlaubt Post-Print: bedingt Verlags-PDF: nein Details... American Association for Cancer Research ist ein SHERPA/RoMEO yellow Verlag, d.h. Zweitveröffentlichung der Pre-Print version (Entwurf vor Begutachtung) gestattet. Der Verlag bietet eine Open Access Option gegen Bezahlung an.

Despite their beneficial effects on weight loss and blood lipids, high-protein (HP) diets have been shown to increase insulin resistance and diabetes risk, whereas high-cereal-fiber (HCF) diets have shown the opposite effects on these outcomes.We compared the effects of isoenergetic HP and HCF diets and a diet with moderate increases in both cereal fibers and dietary protein (Mix diet) on insulin sensitivity, as measured by using euglycemic-hyperinsulinemic clamps with infusion of [6,6-(2)H(2)]glucose.We randomly assigned 111 overweight adults with features of the metabolic syndrome to 1 of 4 two-phased, 18-wk isoenergetic diets by group-matching. Per 3-d food protocols, the percentages of energy derived from protein and carbohydrates and the intake of cereal fiber per day, respectively, were as follows-after 6 wk: 17%, 52%, and 14 g (control); 17%, 52%, and 43 g (HCF); 28%, 43%, and 13 g (HP); 23%, 44%, and 26 g (Mix); after 18 wk: 17%, 51%, and 15 g (control); 17%, 51%, and 41 g (HCF); 26%, 45%, and 14 g (HP); and 22%, 46%, and 26 g (Mix). Eighty-four participants completed the study successfully and were included in the final analyses. Adherence was supported by the provision of tailored dietary supplements twice daily in all groups.Insulin sensitivity expressed as an M value was 25% higher after 6 wk of the HCF diet than after 6 wk of the HP diet (subgroup analysis: 4.61 ± 0.38 compared with 3.71 ± 0.36 mg · kg(-1) · min(-1), P = 0.008; treatment × time interaction: P = 0.005). Effects were attenuated after 18 wk (treatment × time interaction: P = 0.054), which was likely explained by lower adherence to the HP diet. HP intake was associated with a tendency to increased protein expression in adipose tissue of the translation initiation factor serine-kinase-6-1, which is known to mediate amino acid-induced insulin resistance. Biomarkers of protein intake indicated interference of cereal fibers with dietary protein absorption.Greater changes in insulin sensitivity after intake of an isoenergetic HCF than after intake of an HP diet might help to explain the diverse effects of these diets on diabetes risk. This trial is registered at clinicaltrials.gov as NCT00579657.

Estimating usual food intake distributions from short-term quantitative measurements is critical when occasionally or rarely eaten food groups are considered. To overcome this challenge by statistical modeling, the Multiple Source Method (MSM) was developed in 2006. The MSM provides usual food intake distributions from individual short-term estimates by combining the probability and the amount of consumption with incorporation of covariates into the modeling part. Habitual consumption frequency information may be used in 2 ways: first, to distinguish true nonconsumers from occasional nonconsumers in short-term measurements and second, as a covariate in the statistical model. The MSM is therefore able to calculate estimates for occasional nonconsumers. External information on the proportion of nonconsumers of a food can also be handled by the MSM. As a proof-of-concept, we applied the MSM to a data set from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Calibration Study (2004) comprising 393 participants who completed two 24-h dietary recalls and one FFQ. Usual intake distributions were estimated for 38 food groups with a proportion of nonconsumers > 70 in the 24-h dietary recalls. The intake estimates derived by the MSM corresponded with the observed values such as the group mean. This study shows that the MSM is a useful and applicable statistical technique to estimate usual food intake distributions, if at least 2 repeated measurements per participant are available, even for food groups with a sizeable percentage of nonconsumers. J. Nutr. 141: 914-920, 2011.

ObjectiveTo assess the feasibility of combining short-term and long-term dietary assessment instruments as new concept for improving usual dietary intake assessment on the individual level.DesignFeasibility study of completing three 24 h dietary recalls (24-HDR) and a self-administered food propensity questionnaire (FPQ). The 24-HDR was conducted by monthly telephone interviews, using EPIC-SOFT software. The FPQ was completely standardized across cohorts and offered either as a web-based tool or in paper format.SettingRandom sample derived from five ongoing European cohort studies (EPIC-San Sebastian, EPIC-Florence, EPIC-Potsdam, Estonia Genome Center (EGC) and Norwegian Women and Cancer study (NOWAC)).SubjectsA total of 400 participants.ResultsOverall, the total participation rate for the present study was 65·3 % (n 261). On average, completion of the 24-HDR was highest for the first 24-HDR (63·0 %) and decreased slightly for the second (60·3 %) and third 24-HDR (56·3 %). The proportions of selecting the web-based FPQ varied among the study centres, with the highest in EGC (92·9 %) and NOWAC (70·0 %) and the lowest in EPIC-San Sebastian (25·5 %) and EPIC-Potsdam (33·9 %). Web users rarely requested support and were younger and more highly educated than those who completed the paper format.ConclusionsThe present study supports the feasibility of a combined application of three 24-HDR and an FPQ in culturally different populations. The varying acceptance of the web-based instrument across populations requires a flexible application of assessment instruments.

International audience; The authors investigated the role of known risk factors in educational differences in breast cancer incidence. Analyses were based on the European Prospective Investigation Into Cancer and Nutrition and included 242,095 women, 433 cases of in situ breast cancer, and 4,469 cases of invasive breast cancer. Reproductive history (age at first full-term pregnancy and parity), exposure to endogenous and exogenous hormones, height, and health behaviors were accounted for in the analyses. Relative indices of inequality (RII) for education were estimated using Cox regression models. A higher risk of invasive breast cancer was found among women with higher levels of education (RII = 1.22, 95% confidence interval (CI): 1.09, 1.37). This association was not observed among nulliparous women (RII = 1.13, 95% CI: 0.84, 1.52). Inequalities in breast cancer incidence decreased substantially after adjusting for reproductive history (RII = 1.11, 95% CI: 0.98, 1.25), with most of the association being explained by age at first full-term pregnancy. Each other risk factor explained a small additional part of the inequalities in breast cancer incidence. Height accounted for most of the remaining differences in incidence. After adjusting for all known risk factors, the authors found no association between education level and risk of invasive breast cancer. Inequalities in incidence were more pronounced for in situ breast cancer, and those inequalities remained after adjustment for all known risk factors (RII = 1.61, 95% CI: 1.07, 2.41), especially among nulliparous women.

Food intake, physical activity (PA), and genetic makeup each affect health and each factor influences the impact of the other 2 factors. Nutrigenomics describes interactions between genes and environment. Knowledge about the interplay between environment and genetics would be improved if experimental designs included measures of nutrient intake and PA. Lack of familiarity about how to analyze environmental variables and ease of access to tools and measurement instruments are 2 deterrents to these combined studies. This article describes the state of the art for measuring food intake and PA to encourage researchers to make their tools better known and more available to workers in other fields. Information presented was discussed during a workshop on this topic sponsored by the USDA, NIH, and FDA in the spring of 2009.

Whether there are differences between countries in the validity of self-reported diet in relation to BMI, as evaluated using recovery biomarkers, is not well understood. We aimed to evaluate BMI-related reporting errors on 24 h dietary recalls (24-HDR) and on dietary questionnaires (DQ) using biomarkers for protein and K intake and whether the BMI effect differs between six European countries. Between 1995 and 1999, 1086 men and women participating in the European Prospective Investigation into Cancer and Nutrition completed a single 24-HDR, a DQ and one 24 h urine collection. In regression analysis, controlling for age, sex, education and country, each unit (1 kg/m2) increase in BMI predicted an approximately 1·7 and 1·3 % increase in protein under-reporting on 24-HDR and DQ, respectively (both P P>0·15). In women, but not in men, the DQ yielded higher mean intakes of protein that were closer to the biomarker-based measurements across BMI groups when compared with 24-HDR. Results for K were similar to those of protein, although BMI-related under-reporting of K was of a smaller magnitude, suggesting differential misreporting of foods. Under-reporting of protein and K appears to be predicted by BMI, but this effect may be driven by ‘low-energy reporters’. The BMI effect on under-reporting seems to be the same across countries.

Journal Article; Research Support, Non-U.S. Gov't; BACKGROUND Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported. Yes

Background: Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases worldwide. In high-income countries, low socioeconomic status seems to be related to a high incidence of T2DM, but very little is known about the intermediate factors of this relationship. Method: We performed a case-cohort study in eight Western European countries nested in the EPIC study (n = 340 234, 3.99 million person-years of follow-up). A random sub-cohort of 16 835 individuals and a total of 12 403 incident cases of T2DM were identified. Crude and multivariate-adjusted hazard ratios (HR) were estimated for each country and pooled across countries using meta-analytical methods. Age-, gender- and country-specific relative indices of inequality (RII) were used as the measure of educational level and RII tertiles were analysed. Results: Compared with participants with a high educational level (RII tertile 1), participants with a low educational level (RII tertile 3) had a higher risk of T2DM [HR: 1.77, 95% confidence interval (CI): 1.69-1.85; P-trend < 0.01]. The HRs adjusted for physical activity, smoking status and propensity score according to macronutrient intake were very similar to the crude HR (adjusted HR: 1.67, 95% CI: 1.52-1.83 in men; HR: 1.88, 95% CI: 1.73-2.05 in women). The HRs were attenuated only when they were further adjusted for BMI (BMI-adjusted HR: 1.36, 95% CI: 1.23-1.51 in men; HR: 1.32, 95% CI: 1.20-1.45 in women). Conclusion: This study demonstrates the inequalities in the risk of T2DM in Western European countries, with an inverse relationship between educational level and risk of T2DM that is only partially explained by variations in BMI. Published by Oxford University Press on behalf of the International Epidemiological Association

Estimating usual food intake distributions from short-term quantitative measurements is critical when occasionally or rarely eaten food groups are considered. To overcome this challenge by statistical modeling, the Multiple Source Method (MSM) was developed in 2006. The MSM provides usual food intake distributions from individual short-term estimates by combining the probability and the amount of consumption with incorporation of covariates into the modeling part. Habitual consumption frequency information may be used in 2 ways: first, to distinguish true nonconsumers from occasional nonconsumers in short-term measurements and second, as a covariate in the statistical model. The MSM is therefore able to calculate estimates for occasional nonconsumers. External information on the proportion of nonconsumers of a food can also be handled by the MSM. As a proof-of-concept, we applied the MSM to a data set from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Calibration Study (2004) comprising 393 participants who completed two 24-h dietary recalls and one FFQ. Usual intake distributions were estimated for 38 food groups with a proportion of nonconsumers70% in the 24-h dietary recalls. The intake estimates derived by the MSM corresponded with the observed values such as the group mean. This study shows that the MSM is a useful and applicable statistical technique to estimate usual food intake distributions, if at least 2 repeated measurements per participant are available, even for food groups with a sizeable percentage of nonconsumers.

Udgivelsesdato: 2010-Sep-7 Introduction: Until now, studies examining the relationship between socioeconomic status and pancreatic cancer incidence have been inconclusive. Aim: To prospectively investigate to what extent pancreatic cancer incidence varies according to educational level within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods: In the EPIC study, socioeconomic status at baseline was measured using the highest level of education attained. Hazard ratios by educational level and a summary index, the relative indices of inequality (RII), were estimated using Cox regression models stratified by age, gender, and center and adjusted for known risk factors. In addition, we conducted separate analyses by age, gender and geographical region. Results: Within the source population of 407, 944 individuals at baseline, 490 first incident primary pancreatic adenocarcinoma cases were identified in 9 European countries. The crude difference in risk of pancreatic cancer according to level of education was small and not statistically significant (RII=1.14, 95% CI 0.80-1.62). Adjustment for known risk factors reduced the inequality estimates to only a small extent. In addition, no statistically significant associations were observed for age groups (adjusted RII(≤ 60 years)=0.85, 95% CI 0.44-1.64, adjusted RII(>60 years)=1.18, 95% CI 0.73-1.90), gender (adjusted RII(male)=1.20, 95% CI 0.68-2.10, adjusted RII(female)=0.96, 95% CI 0.56-1.62) or geographical region (adjusted RII(Northern Europe)=1.14, 95% CI 0.81-1.61, adjusted RII(Middle Europe)=1.72, 95% CI 0.93-3.19, adjusted RII(Southern Europe)=0.75, 95% CI 0.32-1.80). Conclusion: Despite large educational inequalities in many risk factors within the EPIC study, we found no evidence for an association between educational level and the risk of developing pancreatic cancer in this European cohort.

Recent research has called into question the current practice to estimate individual usual food intake in large-scale studies. In such studies, usual food intake has been defined as diet over the past year. The aim of this review is to summarise the concepts of dietary assessment methods providing food intake data over this time period. A conceptualised framework is given to help researchers to understand the more recent developments to improve dietary assessment in large-scale prospective studies, and also to help to spot the gaps that need to be addressed in future methodological research. The conceptual framework illustrates the current options for the assessment of an individual’s food consumption over 1 year. Ideally, a person’s food intake on each day of this year should be assessed. Due to participants’ burden, and organisational and financial constraints, however, the options are limited to directly requesting the long-term average (e.g. food frequency questionnaires), or selecting a few days with detailed food consumption measurements (e.g. 24-hour dietary recalls) or using snapshot techniques (e.g. barcode scanning of purchases). It seems necessary and important to further evaluate the performance of statistical modelling of the individual usual food intake from all available sources. Future dietary assessment might profit from the growing prominence of internet and telecommunication technologies to further enhance the available data on food consumption for each study participant. Research is crucial to investigate the performance of innovative assessment tools. However, the self-reported nature of the data itself will always lead to bias.