Arctic populations are amongst the highest exposed populations to long-range transported contaminants globally, with the main exposure pathway being through the diet. Dietary advice is an important immediate means to address potential exposure and help minimize adverse health effects. The objective of this work is to enable easier access to dietary advice and communication guidance on contaminants with a focus on the Arctic. This manuscript is part of a special issue summarizing the Arctic Monitoring and Assessment Programme\'s Assessment 2021: Human Health in the Arctic. The information was derived with internet searches, and by contacting relevant experts directly. Results include risk communication efforts in European Arctic countries, effectiveness evaluation studies for several Arctic countries, experience of social media use, and the advantages and challenges of using social media in risk communication. We found that current risk communication activities in most Arctic countries emphasize the importance of a nutritious diet. Contaminant-related restrictions are mostly based on mercury; a limited amount of dietary advice is based on other contaminants. While more information on effectiveness evaluation was available, specific information, particularly from Arctic countries other than Canada, is still very limited.

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A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.

The chatbot Chat Generative Pretrained Transformer (ChatGPT) is becoming increasingly popular among patients for searching health-related information. Prior studies have raised concerns regarding accuracy in offering nutritional advice. We investigated in November 2023 ChatGPT\'s potential as a tool for providing nutritional guidance in relation to different non-communicable diseases (NCDs). First, the dietary advice given by ChatGPT (version 3.5) for various NCDs was compared with guidelines; then, the chatbot\'s capacity to manage a complex case with several diseases was investigated. A panel of nutrition experts assessed ChatGPT\'s responses. Overall, ChatGPT offered clear advice, with appropriateness of responses ranging from 55.5% (sarcopenia) to 73.3% (NAFLD). Only two recommendations (one for obesity, one for non-alcoholic-fatty-liver disease) contradicted guidelines. A single suggestion for T2DM was found to be \"unsupported\", while many recommendations for various NCDs were deemed to be \"not fully matched\" to the guidelines despite not directly contradicting them. However, when the chatbot handled overlapping conditions, limitations emerged, resulting in some contradictory or inappropriate advice. In conclusion, although ChatGPT exhibited a reasonable accuracy in providing general dietary advice for NCDs, its efficacy decreased in complex situations necessitating customized strategies; therefore, the chatbot is currently unable to replace a healthcare professional\'s consultation.

UNASSIGNED: In a 12-week randomised controlled trial, personalised nutrition delivered using a metabotype framework improved dietary intake, metabolic health parameters and the metabolomic profile compared to population-level dietary advice. The objective of the present work was to investigate the patterns of dietary advice delivered during the intervention and the alterations in dietary intake and metabolic and metabolomic profiles to obtain further insights into the effectiveness of the metabotype framework.
UNASSIGNED: Forty-nine individuals were randomised into the intervention group and subsequently classified into metabotypes using four biomarkers (triacylglycerol, HDL-C, total cholesterol, glucose). These individuals received personalised dietary advice from decision tree algorithms containing metabotypes and individual characteristics. In a secondary analysis of the data, patterns of dietary advice were identified by clustering individuals according to the dietary messages received and clusters were compared for changes in dietary intake and metabolic health parameters. Correlations between changes in blood clinical chemistry and changes in metabolite levels were investigated.
UNASSIGNED: Two clusters of individuals with distinct patterns of dietary advice were identified. Cluster 1 had the highest percentage of messages delivered to increase the intake of beans and pulses and milk and dairy products. Cluster 2 had the highest percentage of messages delivered to limit the intake of foods high in added sugar, high-fat foods and alcohol. Following the intervention, both patterns improved dietary quality assessed by the Alternate Mediterranean Diet Score and the Alternative Healthy Eating Index, nutrient intakes, blood pressure, triacylglycerol and LDL-C (p ≤ 0.05). Several correlations were identified between changes in total cholesterol, LDL-C, triacylglycerol, insulin and HOMA-IR and changes in metabolites levels, including mostly lipids (sphingomyelins, lysophosphatidylcholines, glycerophosphocholines and fatty acid carnitines).
UNASSIGNED: The findings indicate that the metabotype framework effectively personalises and delivers dietary advice to improve dietary quality and metabolic health.
UNASSIGNED: isrctn.com, identifier ISRCTN15305840.

Aim This study aims to evaluate the role of dentures and dietary advice on the nutritional status of complete edentulous patients using the mini nutritional assessment-short form (MNA®-SF). Objective The objective of this study is to assess patients\' nutrition using MNA®-SF before denture insertion and nutritional advice, to evaluate patients\' nutrition using MNA®-SF after denture insertion and nutritional advice at one month and three months, and to assess and compare pre- and post-insertion differences in nutrition using MNA®-SF. Material and Method An observational study was conducted among 50 completely edentulous patients using the MNA®-SF questionnaire. They were asked the questions at baseline and then after they were given complete dentures, after which they were recalled after one month and three months to assess the nutritional status using MNA®-SF. All the questions were in the native language, so it was easy to understand the question and respond to it. Result It was found that the patient\'s nutritional status had significant changes, which shows that the dietary advice and complete denture affected the patient\'s nutritional status. Conclusions This study helped assess the efficacy and application of MNA®-SF in completely edentulous patients. In this study, we provided nutritional guidance to patients in addition to complete denture prostheses to encourage them to have healthy eating habits.

Tea is one of the most popular drinks in the world. Dark tea is a kind of post-fermented tea with unique sensory characteristics that is produced by the special fermentation of microorganisms. It contains many bioactive substances, such as tea polyphenols, theabrownin, tea polysaccharides, etc., which have been reported to be beneficial to human health. This paper reviewed the latest research on dark tea\'s potential in preventing and managing cancer, and the mechanisms mainly involved anti-oxidation, anti-inflammation, inhibiting cancer cell proliferation, inducing cancer cell apoptosis, inhibiting tumor metastasis, and regulating intestinal flora. The purpose of this review is to accumulate evidence on the anti-cancer effects of dark tea, the corresponding mechanisms and limitations of dark tea for cancer prevention and management, the future prospects, and demanding questions about dark tea\'s possible contributions as an anti-cancer adjuvant.

UNASSIGNED: An accessible and affordable way to deliver behavior change programs to a large proportion of the growing community of cancer patients and survivors is through web-based methods of nutritional counselling.
UNASSIGNED: The aim of this systematic review was to evaluate the effectiveness of web-based nutritional therapies targeting physical activity, diet, and/or weight control for cancer patients or survivors, primarily disseminated via modern technologies (mobile phone applications) or online.
UNASSIGNED: The authors conducted a structured search of the PubMed database. Studies that have focused on physical activity (PA) and dietary change and/or weight control in adolescent and adult cancer patients and survivors have reported outcomes conducted via a broad modality.
UNASSIGNED: Nine articles focused on web-based nutrition for patients with cancer and cancer survivors. They were conducted in the United States, Australia, Korea, China, and in the United Kingdom, and were published between 2018 and 2022 in a variety of scientific journals. The number of participants ranged from 20 to 159.
UNASSIGNED: Web-based nutrition counselling helps cancer patients and survivors improve their dietary intake, impacts their weight and quality of life, and promotes a healthy lifestyle. Future research should evaluate (1) the differences in cost and coverage between face-to-face and web-based nutrition, (2) long-term outcomes, (3) cost-effectiveness, and last but not least, (4) the effectiveness of web-based nutrition in adolescents and children who suffer from cancer or who survived cancer, as nutritional status and body composition have a marked impact on clinical outcomes during and after treatment. The strength of this review lies in the large number of randomized controlled trials, which offer a guarantee of effectiveness and objectivity compared to cross-sectional studies.

This scoping review assessed the knowledge, attitudes, and practices of general practitioners (GPs) regarding dietary advice for weight management. A systematic search of PubMed, EMBASE, CINAHL, and MEDLINE was conducted for any qualitative, quantitative, and mixed-methods studies published in the past five years that informed GPs\' dietary advice for weight control. Thirteen studies were included in the analysis after screening 881 papers. These studies tended to focus mostly on GPs\' practices rather than their knowledge and attitudes. The most frequently mentioned dietary advice was to reduce calorie intake; however, 32 different types of dietary advice were identified in the literature, including approaches such as intermittent fasting and a ketogenic diet that are not recommended in current guidelines. GPs showed varying levels of knowledge and attitudes regarding the best dietary advice for patients. Further research is needed to better understand GP perspectives, with efforts to assist GPs in providing tailored advice based on the latest evidence to improve patient outcomes required.

BACKGROUND: Hyperemesis gravidarum (HG) affects about 2% of pregnancies and is at the severe end of the spectrum of nausea and vomiting of pregnancy. HG causes severe maternal distress and results in adverse pregnancy outcomes long after the condition may have dissipated. Although dietary advice is a common tool in management, trial evidence to base the advice on is lacking.
METHODS: A randomized trial was conducted in a university hospital from May 2019 to December 2020. 128 women at their discharge following hospitalization for HG were randomized: 64 to watermelon and 64 to control arm. Women were randomized to consume watermelon and to heed the advice leaflet or to heed the dietary advice leaflet alone. A personal weighing scale and a weighing protocol were provided to all participants to take home. Primary outcomes were bodyweight change at the end of week 1 and week 2 compared to hospital discharge.
RESULTS: Weight change (kg) at end of week 1, median[interquartile range] -0.05[-0.775 to + 0.50] vs. -0.5[-1.4 to + 0.1] P = 0.014 and to the end of week 2, + 0.25[-0.65 to + 0.975] vs. -0.5[-1.3 to + 0.2] P = 0.001 for watermelon and control arms respectively. After two weeks, HG symptoms assessed by PUQE-24 (Pregnancy-Unique Quantification of Emesis and Nausea over 24 h), appetite assessed by SNAQ (Simplified Nutritional Appetite Questionnaire), wellbeing and satisfaction with allocated intervention NRS (0-10 numerical rating scale) scores, and recommendation of allocated intervention to a friend rate were all significantly better in the watermelon arm. However, rehospitalization for HG and antiemetic usage were not significantly different.
CONCLUSIONS: Adding watermelon to the diet after hospital discharge for HG improves bodyweight, HG symptoms, appetite, wellbeing and satisfaction.
BACKGROUND: This study was registered with the center\'s Medical Ethics Committee (on 21/05/2019; reference number 2019327-7262) and the ISRCTN on 24/05/2019 with trial identification number: ISRCTN96125404 . First participant was recruited on 31/05/ 2019.