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Take control of your health-- manage and treat your diabetes so you can live a full life. Rubin gives you reassuring guidance on putting together a state-of-the-art treatment program, advice on the latest medications, and tips on developing a diet and exercise plan to stay healthy.

Published on behalf of The British Dietetic Association, Advanced Nutrition and Dietetics in Diabetes is an exploration of the evidence and practice of nutrition in diabetes, offering a global view of the lifestyle interventions for the prevention and management of diabetes, including management of complications and special population groups. With internationally recognised authors, this book applies the rigour of evidence-based medicine to important enduring topics in diabetes, such as: * public health efforts at diabetes prevention * formulating nutritional guidelines for diabetes * carbohydrates and the glycaemic index * the management of diabetes in older people The authors draw on their research and practical experience to offer sound guidance on best practice, ensuring that interventions are both scientifically secure and effective. ABOUT THE SERIES Dietary recommendations need to be based on solid evidence, but where can you find this information? The British Dietetic Association and the publishers of the Manual of Dietetic Practice present an essential and authoritative reference series on the evidence base relating to advanced aspects of nutrition and diet in selected clinical specialties. Each book provides a comprehensive and critical review of key literature in its subject.  Each covers established areas of understanding, current controversies and areas of future development and investigation, and is oriented around six key themes: * Disease processes, including metabolism, physiology, and genetics * Disease consequences, including morbidity, mortality, nutritional epidemiology and patient perspectives * Nutritional consequences of diseases * Nutritional assessment, drawing on anthropometric, biochemical, clinical, dietary, economic and social approaches * Clinical investigation and management * Nutritional and dietary management * Trustworthy, international in scope, and accessible, Advanced Nutrition and Dietetics is a vital resource for a range of practitioners, researchers and educators in nutrition and dietetics, including dietitians, nutritionists, doctors and specialist nurses.

\"Diabetes is a health crisis. America's Test Kitchen's urgent mission is to provide a path to healthier eating for anyone cooking for diabetes and encourage home cooks to get into the kitchen with a complete collection of great-tasting recipes. Vetted by a dietician and a doctor, all of the more than 400 inspired recipes maximize healthy ingredients and flavor while adhering to specific nutritional guidelines. Enjoy every meal with fresh and creative recipes for breakfast, lunch, and dinner, including options for entertaining, snacks, and occasional sweet treats\"-- Provided by publisher.

Type 2 diabetes is a prevalent, chronic disease for which diet is an integral aspect of treatment. In our previous trial, we found that recommendations to follow a very low-carbohydrate ketogenic diet and to change lifestyle factors (physical activity, sleep, positive affect, mindfulness) helped overweight people with type 2 diabetes or prediabetes improve glycemic control and lose weight. This was an in-person intervention, which could be a barrier for people without the time, flexibility, transportation, social support, and/or financial resources to attend. The aim was to determine whether an online intervention based on our previous recommendations (an ad libitum very low-carbohydrate ketogenic diet with lifestyle factors; \"intervention\") or an online diet program based on the American Diabetes Associations' \"Create Your Plate\" diet (\"control\") would improve glycemic control and other health outcomes among overweight individuals with type 2 diabetes. In this pilot feasibility study, we randomized overweight adults (body mass index ≥25) with type 2 diabetes (glycated hemoglobin [HbA ] 6.5%-9.0%) to a 32-week online intervention based on our previous recommendations (n=12) or an online diet program based around a plate method diet (n=13) to assess the impact of each intervention on glycemic control and other health outcomes. Primary and secondary outcomes were analyzed by mixed-effects linear regression to compare outcomes by group. At 32 weeks, participants in the intervention group reduced their HbA levels more (estimated marginal mean [EMM] -0.8%, 95% CI -1.1% to -0.6%) than participants in the control group (EMM -0.3%, 95% CI -0.6% to 0.0%; P=.002). More than half of the participants in the intervention group (6/11, 55%) lowered their HbA to less than 6.5% versus 0% (0/8) in the control group (P=.02). Participants in the intervention group lost more weight (EMM -12.7 kg, 95% CI -16.1 to -9.2 kg) than participants in the control group (EMM -3.0 kg, 95% CI -7.3 to 1.3 kg; P<.001). A greater percentage of participants lost at least 5% of their body weight in the intervention (10/11, 90%) versus the control group (2/8, 29%; P=.01). Participants in the intervention group lowered their triglyceride levels (EMM -60.1 mg/dL, 95% CI -91.3 to -28.9 mg/dL) more than participants in the control group (EMM -6.2 mg/dL, 95% CI -46.0 to 33.6 mg/dL; P=.01). Dropout was 8% (1/12) and 46% (6/13) for the intervention and control groups, respectively (P=.07). Individuals with type 2 diabetes improved their glycemic control and lost more weight after being randomized to a very low-carbohydrate ketogenic diet and lifestyle online program rather than a conventional, low-fat diabetes diet online program. Thus, the online delivery of these very low-carbohydrate ketogenic diet and lifestyle recommendations may allow them to have a wider reach in the successful self-management of type 2 diabetes. ClinicalTrials.gov NCT01967992; https://clinicaltrials.gov/ct2/show/NCT01967992 (Archived by WebCite at http://www.webcitation.org/6o0fI9Mkq).

Background/Objectives: The high cost of healthy foods makes it difficult for people with a low income to manage diabetes. This study examined the effects of a monthly grocery voucher on the dietary intake, assessed through the Canadian Diet History Questionnaire III, of diabetes patients facing food or financial insecurity. We also assessed the impact on levels of hemoglobin A1c, beta-carotene, and ascorbic acid. Methods: Participants were randomly selected from a larger clinical trial and completed the survey at 6-month follow-up. Results: Voucher recipients consumed more whole fruit (mean difference in daily servings, MD 0.8; 95% CI [0.1, 1.6]) and fewer refined grains (MD −1.0; 95% CI [−1.9, −0.1]). For other food groups, the confidence intervals for the difference included null effect. Mean HEFI-2019 score was 51.7 out of 80, with voucher recipients averaging 52.4 vs. 51.0 for controls (MD 1.4; 95% CI [−3.6, 6.1]). The voucher group showed a slight HbA1c decrease (MD −0.4; 95% CI [−1.4, 0.5]). Conclusions: A voucher providing access to healthy foods for people with diabetes or prediabetes slightly increased intake of fruits and decreased intake of refined grains. Larger interventional studies are needed to determine the effects of vouchers on dietary intake among this population.

\"Plan delicious, diabetes-friendly meals--easily! When you have diabetes, meal planning and preparation are important parts of caring for your health. Quick Diabetic Recipes for Dummies gives you everything you need to create healthy, diabetes-friendly meals in a snap. Find recipes for delicious soups and stews, appetizers, salads, veggies even the kids will eat, hearty breakfasts, satisfying entrâees, and even desserts! Tips on shopping, cooking, keeping a healthy kitchen, and more will make your healthy eating journey even easier! Inside... basics of diabetes nutrition and meal planning; nutritious foods to keep in stock; healthy cooking techniques; dishes your guests will love; portion control tips and tricks, diabetes choices/exchanges\"-- Page 4 of cover.

Nutritional management for patients with diabetes in China is a significant challenge due to the low supply of registered clinical dietitians. To address this, an artificial intelligence (AI)–based nutritionist program that uses advanced language and image recognition models was created. This program can identify ingredients from images of a patient’s meal and offer nutritional guidance and dietary recommendations. The primary objective of this study is to evaluate the competence of the models that support this program. The potential of an AI nutritionist program for patients with type 2 diabetes mellitus (T2DM) was evaluated through a multistep process. First, a survey was conducted among patients with T2DM and endocrinologists to identify knowledge gaps in dietary practices. ChatGPT and GPT 4.0 were then tested through the Chinese Registered Dietitian Examination to assess their proficiency in providing evidence-based dietary advice. ChatGPT’s responses to common questions about medical nutrition therapy were compared with expert responses by professional dietitians to evaluate its proficiency. The model’s food recommendations were scrutinized for consistency with expert advice. A deep learning–based image recognition model was developed for food identification at the ingredient level, and its performance was compared with existing models. Finally, a user-friendly app was developed, integrating the capabilities of language and image recognition models to potentially improve care for patients with T2DM. Most patients (182/206, 88.4%) demanded more immediate and comprehensive nutritional management and education. Both ChatGPT and GPT 4.0 passed the Chinese Registered Dietitian examination. ChatGPT’s food recommendations were mainly in line with best practices, except for certain foods like root vegetables and dry beans. Professional dietitians’ reviews of ChatGPT’s responses to common questions were largely positive, with 162 out of 168 providing favorable reviews. The multilabel image recognition model evaluation showed that the Dino V2 model achieved an average F [sub.1] score of 0.825, indicating high accuracy in recognizing ingredients. The model evaluations were promising. The AI-based nutritionist program is now ready for a supervised pilot study.

Background About one in ten adults are living with diabetes worldwide. Intake of carbohydrates and carbohydrate-rich foods are often identified as modifiable risk factors for incident type 2 diabetes. However, strong correlation between food variables can make it difficult to identify true associations. The purpose of this study was to identify clusters of carbohydrate-rich foods and analyse their associations with type 2 diabetes incidence in the Malmö Diet and Cancer Study cohort in southern Sweden. Methods Dietary intake of 26 622 participants was assessed using a validated three-part diet history method: a 7-day food diary, a 168-item food frequency questionnaire, and a 60-minute interview. K-means clustering analysis identified five clusters from 21 food variables. The Cox proportional hazard regression model was applied to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between clusters and incident type 2 diabetes. Results The cluster analysis resulted in five clusters; high vegetables/low added sugar , high sugar-sweetened beverages , high juice , high fruit , and high refined carbohydrates/low fruit & vegetables (reference). During mean follow-up of 18 years, 4046 type 2 diabetes cases were identified. After adjustment for potential confounding (including lifestyle, body mass index, and diet), a high fruit cluster (HR 0.86; 95% CI 0.78, 0.94) was inversely associated with type 2 diabetes compared to the reference cluster. No other significant associations were identified. Conclusions A dietary pattern defined by a high intake of fruits was associated with a lower incidence of type 2 diabetes. The findings provide additional evidence of a potential protective effect from fruit intake in reducing type 2 diabetes risk. Future studies are needed to explore this association further.