Background: Diet-related health inequalities are a persistent public health challenge in high-income countries, disproportionately affecting socially and economically disadvantaged populations. Objective: To map the existing evidence on diet-related health inequalities in high-income countries through a scoping review of observational studies, identifying populations most affected and key dietary outcomes across social determinants of health. Methods: We conducted a systematic search of MEDLINE, Web of Science, Scopus, and Embase for observational studies published between January 2011 and March 2021. Eligible studies assessed diet-related health outcomes stratified by at least one PROGRESS-Plus determinant. We followed PRISMA-ScR guidelines and registered the review with PROSPERO (CRD42021234567). Data were charted and analyzed thematically according to PROGRESS categories. Results: A total of 163 studies were included. Most studies focused on education, socioeconomic status, and place of residence, while fewer addressed gender identity, sexual orientation, or disability. Common dietary indicators included fruit and vegetable intake, dietary patterns, and food group consumption. Evidence consistently showed that lower education and income levels were associated with poorer dietary outcomes. Notably, certain population groups (e.g., ethnic minorities, rural residents, individuals with low education or income) experienced cumulative disadvantages. Conclusions: The scoping review highlights persistent and intersecting diet-related health inequalities in high-income countries. It underscores the need for standardized indicators and intersectional approaches in monitoring, research, and policy-making.

Introduction: The adolescent diet is high in sugars compared with other age groups. Effective approaches to support sugar reduction by adolescents are needed as part of caries prevention. Objective: To systematically review peer-reviewed evidence (1990 to 2023) to identify effective behavior change techniques (BCTs) for sugars reduction in adolescents aged 10 to 16 y. Methods: Nine databases (CINAHL, Cochrane, Dental and Oral Sciences Source, EMBASE, MEDLINE, PubMed, PsycINFO, Scopus, and Web of Science) were searched. Identified articles were screened independently in duplicate for eligibility. Interventions were eligible if they aimed to change adolescent dietary behavior(s) and reported pre- and postsugar-relevant outcome measures. Interventions from included studies were coded using a 93-item BCT Taxonomy (Michie Taxonomy v1). Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies. Evidence synthesis by vote counting (number of studies showing positive versus null or negative effects) was applied to BCTs that were present in more than 5 interventions. Results: Of 16,271 articles identified, 764 were screened in full, yielding 35 studies (in 43 papers), of which 3 were uncodeable. BCTs coded in interventions covered 11 of 16 BCT clusters and 25 of 93 individual BCTs in the BCT taxonomy. The median number of BCTs applied per study was 3 (interquartile range 2-6). Evidence synthesis indicated that the BCTs most positively associated with a positive reduction in sugars were (with the percentage of strong-/moderate-quality studies applying these techniques that successfully reduced sugars intake in brackets) feedback on behavior (100%), information on social and environmental consequences (100%), problem solving (75%), and social comparison (75%). Conclusion: Notwithstanding limitations in available data, the current evidence most strongly supports the use of BCTs relating to feedback on behavior, providing information on the social and environmental consequences, include problem solving and making social comparisons, to lower sugars intake in adolescents. Knowledge transfer statement: The results of this study will enable clinicians to provide more effective dietary advice when supporting dietary behavior change to reduce sugars intake in adolescents. The results may also be used by researchers to guide future directions for research into effective sugars reduction in adolescents.

Importance Large language models (LLMs) may facilitate the labor-intensive process of systematic reviews. However, the exact methods and reliability remain uncertain. Objective To explore the feasibility and reliability of using LLMs to assess risk of bias (ROB) in randomized clinical trials (RCTs). Design, Setting, and Participants A survey study was conducted between August 10, 2023, and October 30, 2023. Thirty RCTs were selected from published systematic reviews. Main Outcomes and Measures A structured prompt was developed to guide ChatGPT (LLM 1) and Claude (LLM 2) in assessing the ROB in these RCTs using a modified version of the Cochrane ROB tool developed by the CLARITY group at McMaster University. Each RCT was assessed twice by both models, and the results were documented. The results were compared with an assessment by 3 experts, which was considered a criterion standard. Correct assessment rates, sensitivity, specificity, and F1 scores were calculated to reflect accuracy, both overall and for each domain of the Cochrane ROB tool; consistent assessment rates and Cohen kappa were calculated to gauge consistency; and assessment time was calculated to measure efficiency. Performance between the 2 models was compared using risk differences. Results Both models demonstrated high correct assessment rates. LLM 1 reached a mean correct assessment rate of 84.5% (95% CI, 81.5%-87.3%), and LLM 2 reached a significantly higher rate of 89.5% (95% CI, 87.0%-91.8%). The risk difference between the 2 models was 0.05 (95% CI, 0.01-0.09). In most domains, domain-specific correct rates were around 80% to 90%; however, sensitivity below 0.80 was observed in domains 1 (random sequence generation), 2 (allocation concealment), and 6 (other concerns). Domains 4 (missing outcome data), 5 (selective outcome reporting), and 6 had F1 scores below 0.50. The consistent rates between the 2 assessments were 84.0% for LLM 1 and 87.3% for LLM 2. LLM 1's kappa exceeded 0.80 in 7 and LLM 2's in 8 domains. The mean (SD) time needed for assessment was 77 (16) seconds for LLM 1 and 53 (12) seconds for LLM 2. Conclusions In this survey study of applying LLMs for ROB assessment, LLM 1 and LLM 2 demonstrated substantial accuracy and consistency in evaluating RCTs, suggesting their potential as supportive tools in systematic review processes.

Context: Shifting from current dietary patterns to diets rich in plant-based (PB) foods and lower in animal-based foods (ABFs) is generally regarded as a suitable strategy to improve nutritional health and reduce environmental impacts. Despite the recent growth in supply of and demand for novel plant-based foods (NPBFs), a comprehensive overview is lacking. Objectives: This review provides a synthesis of available evidence, highlights challenges, and informs public health and environmental strategies for purposeful political decision-making by systematically searching, analyzing, and summarizing the available literature. Data sources: Five peer-reviewed databases and grey literature sources were rigorously searched for publications. Data extraction: Study characteristics meeting the inclusion criteria regarding NPBF nutrient composition and health and environmental outcomes in high-income countries were extracted. Data analysis: Fifty-seven peer-reviewed and 36 grey literature sources were identified; these were published in 2016-2022. NPBFs typically have substantially lower environmental impacts than ABFs, but the nutritional contents are complex and vary considerably across brands, product type, and main primary ingredient. In the limited evidence on the health impacts, shifts from ABFs to PB meats were associated with positive health outcomes. However, results were mixed for PB drinks, with links to micronutrient deficiencies. Conclusion: If carefully selected, certain NPBFs have the potential to be healthier and nutrient-rich alternatives to ABFs and typically have smaller environmental footprints. More disaggregated categorization of various types of NPBFs would be a helpful step in guiding consumers and key stakeholders to make informed decisions. To enable informed policymaking on the inclusion of NPBFs in dietary transitions as part of a wider net-zero and health strategy, future priorities should include nutritional food standards, labelling, and subdivisions or categorizations of NPBFs, as well as short- and long-term health studies evaluating dietary shifts from ABFs to NPBFs and standardized environmental impact assessments, ideally from independent funders.

There has been increasing pressure to implement policies for promoting healthy food environments worldwide. We conducted an evidence map to critically explore the breadth and nature of primary research from 2010-2020 that evaluated the effectiveness, cost-effectiveness, development, and implementation of mandatory and voluntary food environment policies. Fourteen databases and 2 websites were searched for "real-world" evaluations of international, national, and state level policies promoting healthy food environments. We documented the policy and evaluation characteristics, including the World Cancer Research Fund International NOURISHING framework's policy categories and 10 equity characteristics using the PROGRESS-Plus framework. Data were synthesized using descriptive statistics and visuals. We screened 27,958 records, of which 482 were included. Although these covered 70 countries, 81% of publications focused on only 12 countries (United States, United Kingdom, Australia, Canada, Mexico, Brazil, Chile, France, Spain, Denmark, New Zealand, and South Africa). Studies from these countries employed more robust quantitative methods and included most of the evaluations of policy development, implementation, and cost-effectiveness. Few publications reported on Africa (n = 12), Central and South Asia (n = 5), and the Middle East (n = 6) regions. Few also assessed public-private partnerships (PPPs, n = 31, 6%) compared to voluntary approaches by the private sector (n = 96, 20%), the public sector (n = 90, 19%), and mandatory approaches (n = 288, 60%). Most evaluations of PPPs reported on the same 2 partnerships. Only 50% of publications assessing policy effectiveness compared outcomes between population groups stratified by an equity characteristic, and this proportion has decreased over time. There are striking inequities in the origin, scope, and design of these studies, suggesting that research capacity and funding lies in the hands of a few expert teams worldwide. The small number of studies on PPPs questions the evidence base underlying the international push for PPPs to promote health. Policy evaluations should consider impacts on equity more consistently. This study was registered at PROSPERO as CRD42020170963.

Despite evidence that dietary population health interventions are effective and widely accepted, they remain the topic of intense debate centring on the appropriate role of the state. This review sought to identify how the role of the state in intervening in individuals' food practices is conceptualized across a wide range of literatures. We searched 10 databases and 4 journals for texts that debated dietary population health interventions designed to affect individuals' health-affecting food practices. Two co-authors independently screened these texts for eligibility relative to inclusion and exclusion criteria. Thirty-five texts formed our final corpus. Through critical reflexive thematic analysis (TA), we generated 6 themes and 2 subthemes concerning choice, responsibility for health, balancing benefits and burdens of intervention, the use of evidence, fairness, and the legitimacy of the state's actions. Our analysis found that narratives that aim to prevent effective regulation are entrenched in academic literatures. Discourses that emphasized liberty and personal responsibility framed poor health as the result of 'lifestyle choices'. Utilitarian, cost-benefit rationales pervaded arguments about how to best balance the benefits and burdens of state intervention. Claims about fairness and freedom were used to evoke powerful common meanings, and evidence was used politically to bolster interests, particularly those of the food industry. This review identifies and critically analyses key arguments for and against population dietary public health policies. Our findings should motivate public health researchers and practitioners to avoid unreflexively embracing framings that draw on the languages and logics of free market economics.

BackgroundStudies of the associations between soft drinks and the risk of cancer showed inconsistent results. No previous published systematic reviews and meta-analysis has investigated a dose-response association between exposure dose and cancer risk or assessed the certainty of currently available evidence. Therefore, we aim to demonstrate the associations and assessed the certainty of the evidence to show our confidence in the associations.MethodsWe searched Embase, PubMed, Web of Science, and the Cochrane Library from inception to Jun 2022, to include relevant prospective cohort studies. We used a restricted cubic spline model to conduct a dose-response meta-analysis and calculated the absolute effect estimates to present the results. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the certainty of the evidence.ResultsForty-two articles including on 37 cohorts enrolled 4,518,547 participants were included. With low certainty evidence, increased consumption of sugar-sweetened beverages (SSBs) per 250 mL/day was significantly associated with a 17% greater risk of breast cancer, a 10% greater risk of colorectal cancer, a 30% greater risk of biliary tract cancer, and a 10% greater risk of prostate cancer; increased consumption of artificially sweetened beverages (ASBs)re per 250 mL/day was significantly associated with a 16% greater risk of leukemia; increased consumption of 100% fruit juice per 250 mL/day was significantly associated with a 31% greater risk of overall cancer, 22% greater risk of melanoma, 2% greater risk of squamous cell carcinoma, and 29% greater risk of thyroid cancer. The associations with other specific cancer were no significant. We found linear dose-response associations between consumption of SSBs and the risk of breast and kidney cancer, and between consumption of ASBs and 100% fruit juices and the risk of pancreatic cancer.ConclusionsAn increment in consumption of SSBs of 250 mL/day was positively associated with increased risk of breast, colorectal, and biliary tract cancer. Fruit juices consumption was also positively associated with the risk of overall cancer, thyroid cancer, and melanoma. The magnitude of absolute effects, however, was small and mainly based on low or very low certainty of evidence. The association of ASBs consumption with specific cancer risk was uncertain.

BACKGROUND: Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear. OBJECTIVE: This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity. METHODS: Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1. RESULTS: A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI -3.17 kg to -1.12 kg; P<.001; I2=60.3%), waist circumference by 2.48 cm (95% CI -3.51 cm to -1.44 cm; P<.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI -0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI -0.21 to -0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI -182.67 kcal to -73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss. CONCLUSIONS: Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app.

Background: There is a significant global lack of policy action on consumption of sustainable diets. Application of political science theories such as theories of the policy process can help in understanding policy inaction. Applying these theories could provide a more in-depth understanding of how various influences on the policy process shape decision making for consumption of sustainable diet policy. Methods: A systematic review to examine application of eight key political science theories of the policy process to research on consumption of sustainable diets was conducted. Results: The review identified no papers applying a theory of the policy process although 17 papers did mention or discuss influences on the policy process that are common elements within theories of the policy process. Most notably these elements were the influence of coalitions/networks, evidence use, narratives and framing, institutional and political system factors, and the importance of value and belief systems and socio-cultural norms. However, in most papers these influences were not examined in a detailed or in-depth way and often presented as suggestions for lack of policy action without the support of empirical data or application of any theory. Conclusions: Most research discussing policy inaction on the consumption of sustainable diets fails to utilise political science theories of the policy process, although a small number of papers include mention of or discussion of influences on the policy process. Application of political science theories could provide a more in-depth understanding of how different determinants might shape decision making at various points in the policy process. This could help identify key reasons for policy inaction on the consumption of sustainable diets and suggest possible ways to increase attention and action on the issue from policy decision makers.

OBJECTIVE: This study aimed to systematically identify and synthesize evidence on the feasibility, acceptability, and effects of behavior change interventions for improving multiple dietary behaviors among cancer survivors. METHODS: A total of 14 electronic databases and three trial registries were searched. Experimental studies that examined the feasibility, acceptability, and effects of behavior change interventions for improving multiple dietary behaviors among cancer survivors and published in English or Chinese peer-reviewed journals or protocols were considered eligible. The methodological quality of the included studies was evaluated using the revised Cochrane risk-of-bias assessment tool. Data were extracted and synthesized narratively. RESULTS: Six studies, with a sample size ranging from 50 to 3088, were included. The studies had a high overall risk of bias. Six studies reported feasibility data, and the average eligibility, recruitment, and retention rates at post-intervention were 60.7%, 66.7%, and 90.7%, respectively. Only one study measured the acceptability and reported that 66.6% of participants were satisfied with the intervention. Five out of the six studies that measured fruit and vegetable consumption reported statistically significant positive intervention effects. Two studies reported inconsistent intervention effects on wholegrain consumption. Only one study measured the consumption of processed meat, sugar, and alcohol, which had statistically nonsignificant intervention effect. CONCLUSIONS: Behavior change interventions for improving multiple dietary behaviors might be feasible and effective to increase fruit and/or vegetable consumption among cancer survivors. Further research is needed to examine the acceptability and effects of the intervention for modifying other dietary behavior.

Advice on dietary intake is an essential first line intervention for the management of gestational diabetes mellitus (GDM). Digital tools such as web-based and smartphone apps have been suggested to provide a novel way of providing information on diet for optimal glucose regulation in women with GDM. This systematic review explores the effectiveness and usability of digital tools designed to support dietary self-management of GDM. A systematic search of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, and Scopus using key search terms identified 1476 papers reporting research studies, of which 16 met the specified inclusion criteria. The quality of the included studies was assessed using the ErasmusAGE Quality Score or the Mixed Methods Appraisal Tool (MMAT) version 2018. The findings show that the adoption of digital tools may be an effective approach to support self-management relating to healthy diet, health behaviour, and adherence to therapy in women with GDM as a usable intervention. However, there is a lack of evidence concerning the effectiveness of tools to support the dietary management of GDM. Consideration for ethnic specific dietary advice and evidence-based frameworks in the development of effective digital tools for dietary management of GDM should be considered as these aspects have been limited in the studies reviewed.

BACKGROUND: This systematic review aimed to evaluate AI chatbot characteristics, functions, and core conversational capacities and investigate whether AI chatbot interventions were effective in changing physical activity, healthy eating, weight management behaviors, and other related health outcomes. METHODS: In collaboration with a medical librarian, six electronic bibliographic databases (PubMed, EMBASE, ACM Digital Library, Web of Science, PsycINFO, and IEEE) were searched to identify relevant studies. Only randomized controlled trials or quasi-experimental studies were included. Studies were screened by two independent reviewers, and any discrepancy was resolved by a third reviewer. The National Institutes of Health quality assessment tools were used to assess risk of bias in individual studies. We applied the AI Chatbot Behavior Change Model to characterize components of chatbot interventions, including chatbot characteristics, persuasive and relational capacity, and evaluation of outcomes. RESULTS: The database search retrieved 1692 citations, and 9 studies met the inclusion criteria. Of the 9 studies, 4 were randomized controlled trials and 5 were quasi-experimental studies. Five out of the seven studies suggest chatbot interventions are promising strategies in increasing physical activity. In contrast, the number of studies focusing on changing diet and weight status was limited. Outcome assessments, however, were reported inconsistently across the studies. Eighty-nine and thirty-three percent of the studies specified a name and gender (i.e., woman) of the chatbot, respectively. Over half (56%) of the studies used a constrained chatbot (i.e., rule-based), while the remaining studies used unconstrained chatbots that resemble human-to-human communication. CONCLUSION: Chatbots may improve physical activity, but we were not able to make definitive conclusions regarding the efficacy of chatbot interventions on physical activity, diet, and weight management/loss. Application of AI chatbots is an emerging field of research in lifestyle modification programs and is expected to grow exponentially. Thus, standardization of designing and reporting chatbot interventions is warranted in the near future.

BACKGROUND: Diet and nutrition applications (apps) have become more readily accessible as smartphone ownership increases. These apps have the potential to improve nutritional outcomes, but it remains unclear whether they are effective in patients with catabolism-prone conditions and specialized nutritional needs. AIMS: The primary aim of this rapid review was to determine if delivery of a nutrition intervention via an app was more effective than standard care in improving nutritional outcomes in patients with a selected set of catabolism-prone chronic diseases. Secondary aims included summarizing intervention components and reviewing adherence and acceptance. METHODS: The research question was developed using the Population, Intervention, Comparison, Outcomes (PICO) framework. Comprehensive literature searches were conducted across three databases. Screening, study selection, extraction, and risk of bias (RoB) assessment were conducted for the included randomized controlled trials (RCTs). RESULTS: 15 articles were included, including 5 RCTs; 3/5 RCTs were judged to be at high RoB. The study aims, measured outcomes, and intervention components were diverse. Adherence and acceptance to the app interventions were encouraging. CONCLUSIONS: Due to the heterogeneity of study design, nutrition interventions, outcomes, and reporting across studies, we were unable to aggregate data regarding the impact on nutritional outcomes. Reassuringly though, the available evidence suggests high adherence and acceptance, which needs to be interpreted in light of the associated personnel support provided within each study. The use of digital technology to deliver diet and nutrition interventions in catabolism-prone conditions is feasible, easy to adhere to, and well-accepted by participants.

Adequate food intake and relative abundance of dietary nutrients have undisputed effects on the brain function. There is now substantial evidence that dietary nutrition aids in the prevention and remediation of neurologic symptoms in diverse pathological conditions. The newly described influences of dietary factors on the alterations of mitochondrial dysfunction, epigenetic modification and neuroinflammation are important mechanisms that are responsible for the action of nutrients on the brain health. In this review, we discuss the state of evidence supporting that distinct dietary interventions including dietary supplement and dietary restriction have the ability to tackle neurological disorders using Alzheimer's disease, Parkinson's disease, stroke, epilepsy, traumatic brain injury, amyotrophic lateral sclerosis, Huntington's disease and multiple sclerosis as examples. Additionally, it is also highlighting that diverse potential mechanisms such as metabolic control, epigenetic modification, neuroinflammation and gut-brain axis are of utmost importance for nutrient supply to the risk of neurologic condition and therapeutic response. Finally, we also highlight the novel concept that dietary nutrient intervention reshapes metabolism-epigenetics-immunity cycle to remediate brain dysfunction. Targeting metabolism-epigenetics-immunity network will delineate a new blueprint for combating neurological weaknesses.

Background: Due to widespread use of supplement among athletes, determining the prevalence and pattern of dietary supplement consumption and its moderators will be a road map for developing a strategic planning in the national level to achieve healthy lifestyle and avoid harmful nutritional approaches. Methods: A systematic search of the electronic resources including Medline, PubMed, Scopus, Google Scholar and National Persian Databases including Magiran, SID, IranDoc and CIVILICA (between 1979 and November 2019 in Persian and English language) was accomplished. Inclusion criteria were (a) studies containing the prevalence rate of dietary supplement consumption, specifically (b) studies were conducted in athletes. Finally, 32 articles were included. Results: The prevalence rate of supplement use in overall Iranian athletic population was 64.8% (95% CI, 55.8%-73.8%) with significant heterogeneity (I2 = 99.7%, P < 0.001). The prevalence rate was reported to be higher in male athletes, athletes aged 25 and older and elite athletes (P < 0.05). The most prevalent source of information about supplement use among athletes were trainers, followed by physicians, friends-teammates and dietitians. Conclusions: According to the high prevalence of supplement consumption among Iranian athletes, policy making for educational programs is mandated. Trainers are the most popular source to provide information about supplements and educational programs should be conducted for this target population.

BACKGROUND AND OBJECTIVE: Mobile applications could be effectively used for dietary intake assessment, physical activity monitoring, behavior improvement, and nutrition education. The aim of this review is to determine the effectiveness of mobile applications in improving nutrition behaviors through a systematic review of literature. METHODS: The review protocol was registered with PROSPERO: registration number CRD42018118809, and followed PRISMA guidelines. We involved original articles including mobile electronic devices for improving dietary intake, physical activity, and weight management in adult populations in this review. Data were retrieved from January 2010 to December 2018 with PubMed, Web of Science, Excerpta Medica Database (Embase), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) as data sources. Authors individually screened the titles and abstracts, then full articles in order to obtain papers that met inclusion criteria. RESULTS: The database search yielded 2962 records. After removing the duplicates and analyzing the full text papers a total of 8 original articles were reviewed. Two articles showed obvious bias and were not included in our results or discussion. The remaining six articles with low to moderate bias risk were included in this systematic review. Three selected studies were randomized control trials (RCTs) with over 180 participants each. The other three studies were a nested trial, a case-control trial, and a pilot RCT with 36, 162, and 24 participants respectively. All larger RCTs and the small case control trail showed significant improvements in some nutritional-health objectives measured. The other two trials showed insignificant improvements in outcomes measured between groups. CONCLUSION: This study highlights the potential significant health benefits acquirable through mobile health application-assisted nutrition interventions. Some of these studies required significant financial and time input from providers for the application's utilization. Further studies, perhaps with multiple intervention arms, are required to compare across programs the elements that are essential for health benefits observed.

A client-centred approach sits at the core of modern healthcare. Exploration of the patients' role within the education of nutrition and dietetic students has not previously been undertaken. This review aimed to synthesise the learning outcomes that result from involvement of patients in nutrition and dietetic student education, and to consider whether these interactions promote patient-centred care. Five electronic databases were searched, supported by hand-searching of references of included studies. Screening of title/abstract and then full text papers was undertaken; key characteristics and outcomes were extracted and synthesised narratively. The likely impact of interventions was evaluated using Kirkpatrick's Hierarchy; study quality was assessed using the Medical Education Research Study Quality Instrument and Critical Appraisal Skills Programme checklist. Of 7436 studies identified through database searching, and one additional study located through hand searching of reference lists, the final library consisted of 13 studies. All studies reported benefits for student learning from patient involvement, while one paper identified patient benefits from student interventions. Patients as recipients of care mostly contributed in a passive role in student education activities. Quality assessment identified methodological limitations in most studies. Patient involvement in the education of dietitians supports skill development and therefore progression to professional practice. Although nutrition and dietetics education has a focus on client-centred care, the translation of these concepts into an interactive student educational experience has been investigated to a limited extent. Collaboration with patients in student education is an area for further development.

OBJECTIVE: There is an urgent need to find effective methods of supporting individuals to make dietary behaviour changes. Peer-supported interventions (PSI) have been suggested as a cost-effective strategy to support chronic disease self-management. However, the effect of PSI on dietary behaviour is unclear. The present systematic review aimed to assess the effectiveness of PSI for encouraging dietary behaviour change in adults and to consider intervention characteristics linked with effectiveness. DESIGN: Electronic databases were searched until June 2018 for randomised controlled trials assessing the effectiveness of PSI compared with an alternative intervention and/or control on a dietary related outcome in adults. Following title and abstract screening, two reviewers independently screened full texts and data were extracted by one reviewer and independently checked by another. Results were synthesised narratively. SETTING: Randomised controlled trials.ParticipantsAdult studies. RESULTS: The fifty-four included studies varied in participants, intervention details and results. More PSI reported a positive or mixed effect on diet than no effect. Most interventions used a group model and were lay-led by peer supporters. Several studies did not report intervention intensity, fidelity and peer training and support in detail. Studies reporting positive effects employed more behaviour change techniques (BCT) than studies reporting no effect; however, heterogeneity between studies was considerable. CONCLUSIONS: As evidence was mixed, further interventions need to assess the effect of PSI on dietary behaviour, describe intervention content (theoretical basis, BCT, intensity and peer training/support) and include a detailed process evaluation.

Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to diagnosis are well-known; however, ANN are increasingly used to inform health care management decisions. We provide a seminal review of the applications of ANN to health care organizational decision-making. We screened 3,397 articles from six databases with coverage of Health Administration, Computer Science and Business Administration. We extracted study characteristics, aim, methodology and context (including level of analysis) from 80 articles meeting inclusion criteria. Articles were published from 1997-2018 and originated from 24 countries, with a plurality of papers (26 articles) published by authors from the United States. Types of ANN used included ANN (36 articles), feed-forward networks (25 articles), or hybrid models (23 articles); reported accuracy varied from 50% to 100%. The majority of ANN informed decision-making at the micro level (61 articles), between patients and health care providers. Fewer ANN were deployed for intra-organizational (meso- level, 29 articles) and system, policy or inter-organizational (macro- level, 10 articles) decision-making. Our review identifies key characteristics and drivers for market uptake of ANN for health care organizational decision-making to guide further adoption of this technique.

Background: Dietitians and other health care professionals must be able to translate findings from clinical trials into best treatment practices, a skill termed "knowledge translation". This skill requires knowledge of treatment guidelines as well as the science underpinning treatment recommendations. Unsatisfactory knowledge translation of medical nutrition therapy (MNT) has been documented. Methods: Individuals registered to attend a leading national nutrition conference were asked to participate in an online cross-sectional survey. Participants were asked to provide demographic and professional information, answer questions on nutrition knowledge and to choose a clinical action plan in response to dietitian-designed case vignettes describing research outcomes. Responses were compared by profession and participation in research activities. Results: Of 3000 registered conference attendees, 299 individuals replied: 79.0% dietitians, 93.3% female, with a mean household income matching the 5th decile of income, 60.7% indicated a single employment setting, 20.7% reported participating in research. Almost 74% of respondents indicated that they would make clinical recommendations based on findings of an in vitro study. In one vignette, a patient with a disease previously not encountered by the respondent required a clinical treatment plan. Only 53% of participants chose to seek formal nutrition guidelines. Fewer than 15% of participants could identify the pathway for fat during weight loss. Differences in knowledge translation skills by research participation were not detected. Conclusions: Our findings reveal a deficit in knowledge translation proficiency in a convenience sample of dietitians and other health professionals, highlighting the need to develop these skills.