Diet and Physical Activity Interventions for People from Minority Ethnic Backgrounds in the UK: A Scoping Review Exploring Barriers, Enablers and Cultural Adaptations.

BACKGROUND: Type 2 diabetes (T2D) and cardiovascular disease (CVD) are a global pandemic, driven by obesity, poor diet and physical inactivity. In the UK, the prevalence of T2D and CVD is higher in minority ethnic groups. Lifestyle prevention interventions can be effective but uptake amongst minority ethnic groups in the UK is low and the extent of cultural adaptations to increase engagement unknown. AIM: To explore barriers, enablers and culturally adapted lifestyle interventions in UK minority ethnic groups. METHODS: Four electronic databases were searched from to January 2013-2023. Two independent reviewers carried out manuscript selection and data extraction. Barriers and enablers were mapped to the Capability + Opportunity + Motivation = Behaviour (COM-B) theoretical model. Intervention adaptations were linked to behaviour change strategies and reported within a Cultural Adaptation framework. RESULTS: Twenty-three studies were included, reporting barriers/enablers, culturally adapted interventions or both. Barriers and enablers mostly mapped to social and physical opportunity, and reflective motivation. Common adaptation strategies considered behavioural influences related to culture, values, religious beliefs and/or traditions. Most impactful strategies were associated with using credible sources of information and reorganising social and environmental contexts. DISCUSSION AND CONCLUSIONS: The current umbrella approach to preventative intervention delivery is unlikely to promote sustained participation in behaviour change amongst UK ethnic minorities. Engagement strategies for this population should consider key determinants such as social contexts, beliefs and cultural norms. Important research gaps include interventions investigating tailored interventions for Black populations, and the impact of negative social experiences (e.g., racism) on engagement.

Examining the Impact of a Behavior Modification Program on Disease Prevention Behaviors among Individuals at Risk of Diabetes: A Quasi-Experimental Investigation.

This study aimed to develop and test a behavior modification intervention to prevent type 2 diabetes (T2DM) among at-risk individuals. The primary goal was to compare diabetes prevention behaviors and fasting blood sugar levels between the intervention and comparison groups. This study utilizes a quasi-experimental design to develop a behavior modification intervention for preventing diabetes. It involves two groups, each with pre- and post-intervention assessments, comprising 60 at-risk individuals equally divided into intervention and comparison groups. The 8-week intervention includes components like risk assessment, dietary skill enhancement, exercise, stress management, and social media platforms (data recording training, follow-up visits, reminders, and visual aids). Data collection includes self-administered questionnaires and blood sugar level measurements. Statistical analysis involved paired t-tests for within-group comparisons and independent t-tests for between-group differences. The findings showed that the intervention group achieved significantly higher average scores in nutrition, exercise, and stress management, and had significantly lower average blood sugar levels compared to the comparison group. These results suggest that healthcare providers and policymakers should develop community health programs and public health policies that incorporate integrative care, leverage social media platforms, and foster collaboration with other health professionals to improve outcomes for individuals at risk of T2DM.

Ultra-processed food consumption and risk of diabetes: results from a population-based prospective cohort.

AIMS/HYPOTHESIS: Understanding the impact of the overall construct of ultra-processed foods on diabetes risk can inform dietary approaches to diabetes prevention. In this study, we aimed to evaluate the association between ultra-processed food consumption and risk of diabetes in a community-based cohort of middle-aged adults in the USA. We hypothesised that a higher intake of ultra-processed foods is associated with a higher risk of incident diabetes. METHODS: The study included 13,172 participants without diabetes at baseline (1987-1989) in the Atherosclerosis Risk in Communities (ARIC) study. Dietary intake was assessed with a 66-item semiquantitative food frequency questionnaire, and foods were categorised by processing level using the Nova classification system. Ultra-processed food was analysed categorically (quartiles of energy-adjusted intake) and continuously (per one additional serving/day). We used Cox regression to evaluate the association of ultra-processed food intake with risk of diabetes with adjustment for sociodemographic characteristics, total energy intake, health behaviours and clinical factors. RESULTS: Over a median follow-up of 21 years, there were 4539 cases of incident diabetes. Participants in the highest quartile of ultra-processed food intake (8.4 servings/day on average) had a significantly higher risk of diabetes (HR 1.13; 95% CI 1.03, 1.23) compared with participants in the lowest quartile of intake after adjustment for sociodemographic, lifestyle and clinical factors. Each additional serving of ultra-processed food consumed daily was associated with a 2% higher risk of diabetes (HR 1.02; 95% CI 1.00, 1.04). Highest quartile consumption of certain ultra-processed food groups, including sugar- and artificially sweetened beverages, ultra-processed meats and sugary snacks, was associated with a 29%, 21% and 16% higher risk of diabetes, respectively, compared with the lowest quartile. CONCLUSIONS/INTERPRETATION: We found that a higher intake of ultra-processed food was associated with higher risk of incident diabetes, particularly sugar- and artificially sweetened beverages, ultra-processed meats and sugary snacks. Our findings suggest interventions reducing ultra-processed food consumption and specific food groups may be an effective strategy for diabetes prevention.

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study.

BACKGROUND: Digital diabetes prevention programs (dDPPs) are effective "digital prescriptions" but have high attrition rates and program noncompletion. To address this, we developed a personalized automatic messaging system (PAMS) that leverages SMS text messaging and data integration into clinical workflows to increase dDPP engagement via enhanced patient-provider communication. Preliminary data showed positive results. However, further investigation is needed to determine how to optimize the tailoring of support technology such as PAMS based on a user's preferences to boost their dDPP engagement. OBJECTIVE: This study evaluates leveraging machine learning (ML) to develop digital engagement phenotypes of dDPP users and assess ML's accuracy in predicting engagement with dDPP activities. This research will be used in a PAMS optimization process to improve PAMS personalization by incorporating engagement prediction and digital phenotyping. This study aims (1) to prove the feasibility of using dDPP user-collected data to build an ML model that predicts engagement and contributes to identifying digital engagement phenotypes, (2) to describe methods for developing ML models with dDPP data sets and present preliminary results, and (3) to present preliminary data on user profiling based on ML model outputs. METHODS: Using the gradient-boosted forest model, we predicted engagement in 4 dDPP individual activities (physical activity, lessons, social activity, and weigh-ins) and general activity (engagement in any activity) based on previous short- and long-term activity in the app. The area under the receiver operating characteristic curve, the area under the precision-recall curve, and the Brier score metrics determined the performance of the model. Shapley values reflected the feature importance of the models and determined what variables informed user profiling through latent profile analysis. RESULTS: We developed 2 models using weekly and daily DPP data sets (328,821 and 704,242 records, respectively), which yielded predictive accuracies above 90%. Although both models were highly accurate, the daily model better fitted our research plan because it predicted daily changes in individual activities, which was crucial for creating the "digital phenotypes." To better understand the variables contributing to the model predictor, we calculated the Shapley values for both models to identify the features with the highest contribution to model fit; engagement with any activity in the dDPP in the last 7 days had the most predictive power. We profiled users with latent profile analysis after 2 weeks of engagement (Bayesian information criterion=-3222.46) with the dDPP and identified 6 profiles of users, including those with high engagement, minimal engagement, and attrition. CONCLUSIONS: Preliminary results demonstrate that applying ML methods with predicting power is an acceptable mechanism to tailor and optimize messaging interventions to support patient engagement and adherence to digital prescriptions. The results enable future optimization of our existing messaging platform and expansion of this methodology to other clinical domains. TRIAL REGISTRATION: ClinicalTrials.gov NCT04773834; https://www.clinicaltrials.gov/ct2/show/NCT04773834. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/26750.

Prevailing Food Intake, Physical Activity and Health Beliefs in a Rural Agricultural Community in the Philippines: Factors to Consider Prior to a Diabetes Prevention Program.

Objective: A diabetes prevention program is being proposed in the rural agricultural town of San Juan, Batangas, Philippines. This study aims to determine the prevailing level of food intake, physical activity, and health beliefs prior to any intervention. Methodology: Adults were recruited via random sampling with proportional allocation. Interviews were done to determine food intake and physical activity. Small group discussions were held to determine prevailing health beliefs. Results: The average energy intake (1,547 kcal/d) is only 72% of the recommended values for Filipinos. Only 12% of the respondents achieved the recommended energy intake. Carbohydrates comprise a large part (71%) of calorie intake. A majority (91%) already have moderate to high levels of physical activity. There are prevailing health beliefs that need to be considered when dietary modifications and physical activity interventions are to be done. Conclusion: Internationally recommended diabetes prevention interventions such as reducing calorie intake and increasing physical activity may not be directly applicable here. We recommend that the features of a diabetes prevention program for this locale must include the following: 1) introduction of affordable plant sources of proteins; 2) decreasing the proportion of rice as a source of carbohydrates in the diet; 3) maintaining the level of physical activity; and 4) being sensitive to the prevailing health beliefs.

MicroRNAs Associated with Metformin Treatment in the Diabetes Prevention Program.

The Diabetes Prevention Program (DPP) randomized controlled trial demonstrated that metformin treatment reduced progression to type 2 diabetes (T2D) by 31% compared to placebo in adults with prediabetes. Circulating micro-ribonucleic acids (miRs) are promising biomarkers of T2D risk, but little is known about their associations with metformin regimens for T2D risk reduction. We compared the change in 24 circulating miRs from baseline to 2 years in a subset from DPP metformin intervention (n = 50) and placebo (n = 50) groups using Wilcoxon signed rank tests. Spearman correlations were used to evaluate associations between miR change and baseline clinical characteristics. Multiple linear regression was used to adjust for covariates. The sample was 73% female, 17% Black, 13% Hispanic, and 50 ± 11 years. Participants were obese, normotensive, prediabetic, and dyslipidemic. Change in 12 miR levels from baseline to 2 years was significantly different in the metformin group compared with placebo after adjusting for multiple comparisons: six (let-7c-5p, miR-151a-3p, miR-17-5p, miR-20b-5p, miR-29b-3p, and miR-93-5p) were significantly upregulated and six (miR-130b-3p, miR-22-3p, miR-222-3p, miR-320a-3p, miR-320c, miR-92a-3p) were significantly downregulated in the metformin group. These miRs help to explain how metformin is linked to T2D risk reduction, which may lead to novel biomarkers, therapeutics, and precision health strategies.

Hesperidin, vanillic acid, and sinapic acid attenuate atorvastatin-induced mitochondrial dysfunction via inhibition of mitochondrial swelling and maintenance of mitochondrial function in pancreas isolated mitochondria.

It has been reported that lipophilic statins such as atorvastatin can more readily penetrate into ß-cells and reach the mitochondria, resulting in mitochondrial dysfunction, oxidative stress, decrease in insulin release. Many studies have shown that natural products can protect mitochondrial dysfunction induced by drug in different tissue. We aimed to explore mitochondrial protection potency of hesperidin, vanillic acid, and sinapic acid as natural compounds against mitochondrial dysfunction induced by atorvastatin in pancreas isolated mitochondria. Mitochondria were isolated form rat pancreas and directly treated with toxic concentration of atorvastatin (500 µM) in presence of various concentrations hesperidin, vanillic acid, and sinapic acid (1, 10, and 100 µM) separately. Mitochondrial toxicity parameters such as the reactive oxygen species (ROS) formation, succinate dehydrogenases (SDH) activity, mitochondrial swelling, depletion of glutathione (GSH), mitochondrial membrane potential (MMP) collapse, and malondialdehyde (MDA) production were measured. Our findings demonstrated that atorvastatin directly induced mitochondrial toxicity at concentration of 500 µM and higher in pancreatic mitochondria. Except MDA, atorvastatin caused significantly reduction in SDH activity, mitochondrial swelling, ROS formation, depletion of GSH, and collapse of MMP. While, our data showed that all three protective compounds at low concentrations ameliorated atorvastatin-induced mitochondrial dysfunction with the increase of SDH activity, improvement of mitochondrial swelling, MMP collapse and mitochondrial GSH, and reduction of ROS formation. We can conclude that hesperidin, vanillic acid, and sinapic acid can directly reverse the toxic of atorvastatin in rat pancreas isolated mitochondria, which may be beneficial for protection against diabetogenic-induced mitochondrial dysfunction in pancreatic ß-cells.

The Development of a Text Messaging Platform to Enhance a Youth Diabetes Prevention Program: Observational Process Study.

BACKGROUND: Approximately 1 in 5 adolescents in the United States has prediabetes, and racially and ethnically minoritized youths are disproportionately impacted. Unfortunately, there are few effective youth diabetes prevention programs, and in-person interventions are challenging because of barriers to access and engagement. OBJECTIVE: We aimed to develop and assess the preliminary feasibility and acceptability of a youth-informed SMS text messaging platform to provide additional support and motivation to adolescents with prediabetes participating in a diabetes prevention workshop in East Harlem, New York City, New York, United States. We collaborated with our youth action board and a technology partner (mPulse Mobile) to develop and pilot-test the novel interactive platform. METHODS: The technology subcommittee of our community action board (comprising youths and young adults) used the results from focus groups that we had previously conducted with youths from our community to develop 5 message types focused on healthy eating and active living: goal setting, behavior tracking, individually tailored guidance, motivational messages, and photo diary. We used an iterative process to develop and pilot the program with our internal study team, including youths from our community action board and mPulse Mobile developers. We then conducted a pilot of the 12-week SMS text messaging program with 13 youths with prediabetes. RESULTS: Participants (aged 15-21 years; 10/13, 77% female; 3/10, 23% Black and 10/13, 77% Hispanic or Latinx) received an average of 2 automated messages per day. The system correctly sent 84% (2231/2656) of the messages at the time intended; the remaining 16% (425/2656) of the messages were either sent at the incorrect time, or the system did not recognize a participant response to provide the appropriate reply. The level of engagement with the program ranged from 1 (little to no response) to 5 (highly responsive) based on how frequently participants responded to the interactive (2-way) messages. Highly responsive participants (6/13, 46%) responded >75% (1154/1538) of the time to interactive messages sent over 12 weeks, and 69% (9/13) of the participants were still engaged with the program at week 12. During a focus group conducted after program completion, the participants remarked that the message frequency was appropriate, and those who had participated in our in-person workshops reflected that the messages were reminiscent of the workshop content. Participants rated goal setting, behavior tracking, and tailored messages most highly and informed planned adaptations to the platform. Participants described the program as: "interactive, informative, enjoyable, very convenient, reliable, motivational, productive, and reflective." CONCLUSIONS: We partnered with youths in the initial content development and pilot testing of a novel SMS text messaging platform to support diabetes prevention. This study is unique in the triple partnership we formed among researchers, technology experts, and diverse youths to develop a mobile health platform to address diabetes-related disparities.

Effectiveness of artificial intelligence vs. human coaching in diabetes prevention: a study protocol for a randomized controlled trial.

BACKGROUND: Prediabetes is a highly prevalent condition that heralds an increased risk of progression to type 2 diabetes, along with associated microvascular and macrovascular complications. The Diabetes Prevention Program (DPP) is an established effective intervention for diabetes prevention. However, participation in this 12-month lifestyle change program has historically been low. Digital DPPs have emerged as a scalable alternative, accessible asynchronously and recognized by the Centers for Disease Control and Prevention (CDC). Yet, most digital programs still incorporate human coaching, potentially limiting scalability. Furthermore, existing effectiveness results of digital DPPs are primarily derived from per protocol, longitudinal non-randomized studies, or comparisons to control groups that do not represent the standard of care DPP. The potential of an AI-powered DPP as an alternative to the DPP is yet to be investigated. We propose a randomized controlled trial (RCT) to directly compare these two approaches. METHODS: This open-label, multicenter, non-inferiority RCT will compare the effectiveness of a fully automated AI-powered digital DPP (ai-DPP) with a standard of care human coach-based DPP (h-DPP). A total of 368 participants with elevated body mass index (BMI) and prediabetes will be randomized equally to the ai-DPP (smartphone app and Bluetooth-enabled body weight scale) or h-DPP (referral to a CDC recognized DPP). The primary endpoint, assessed at 12 months, is the achievement of the CDC's benchmark for type 2 diabetes risk reduction, defined as any of the following: at least 5% weight loss, at least 4% weight loss and at least 150 min per week on average of physical activity, or at least a 0.2-point reduction in hemoglobin A1C. Physical activity will be objectively measured using serial actigraphy at baseline and at 1-month intervals throughout the trial. Secondary endpoints, evaluated at 6 and 12 months, will include changes in A1C, weight, physical activity measures, program engagement, and cost-effectiveness. Participants include adults aged 18-75 years with laboratory confirmed prediabetes, a BMI of ≥ 25 kg/m2 (≥ 23 kg/m2 for Asians), English proficiency, and smartphone users. This U.S. study is conducted at Johns Hopkins Medicine in Baltimore, MD, and Reading Hospital (Tower Health) in Reading, PA. DISCUSSION: Prediabetes is a significant public health issue, necessitating scalable interventions for the millions affected. Our pragmatic clinical trial is unique in directly comparing a fully automated AI-powered approach without direct human coach interaction. If proven effective, it could be a scalable, cost-effective strategy. This trial will offer vital insights into both AI and human coach-based behavioral change strategies in real-world clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05056376. Registered on September 24, 2021, https://clinicaltrials.gov/study/NCT05056376.

Feasibility of Fit24, a Digital Diabetes Prevention Program for Hispanic Adolescents: Qualitative Evaluation Study.

BACKGROUND: Digital health interventions are promising for reaching and engaging high-risk youth in disease prevention opportunities; however, few digital prevention interventions have been developed for Hispanic youth, limiting our knowledge of these strategies among this population. OBJECTIVE: This study qualitatively assessed the feasibility and acceptability of Fit24, a 12-week goal-setting intervention that uses a Fitbit watch (Fitbit Inc) and theoretically grounded SMS text messages to promote physical activity and sleep among Hispanic adolescents (aged between 14 and 16 years) with obesity. METHODS: After completing the intervention, a subsample of youth (N=15) participated in an in-depth interview. We categorized the themes into dimensions based on participant perspectives using the Practical, Robust Implementation, and Sustainability Model (PRISM) framework. RESULTS: Participants shared positive perceptions of wearing the Fitbit and receiving SMS text messages. Youth were highly engaged in monitoring their behaviors and perceived increased activity and sleep. Almost all youth organically received social support from a peer or family member and suggested the use of a group chat or team challenge for integrating peers into future interventions. However, most youth also expressed the need to take personal responsibility for the change in their behavior. Barriers that impacted the feasibility of the study included the skin-irritating material on the Fitbit watch band and environmental barriers (eg, lack of resources and school schedules), that limited participation in activity suggestions. Additionally, sync issues with the Fitbit limited the transmission of data, leading to inaccurate feedback. CONCLUSIONS: Fit24 is a promising approach for engaging Hispanic youth in a diabetes prevention program. Strategies are needed to address technical issues with the Fitbit and environmental issues such as message timing. While integrating peer social support may be desired by some, peer support strategies should be mindful of youth's desire to foster personal motivation for behavior change. Findings from this study will inform future diabetes prevention trials of Fit24 and other digital health interventions for high-risk pediatric populations.

Obesity in Prediabetic Patients: Management of Metabolic Complications and Strategies for Prevention of Overt Diabetes.

Obesity and prediabetes affect a substantial part of the general population, but are largely underdiagnosed, underestimated, and undertreated. Prediabetes differs from diabetes only in the degree of hyperglycaemia consequent to the progressive decline in residual beta-cell function. Both prediabetes and diabetes occur as a consequence of insulin resistance that starts several years before the clinical onset of overt diabetes. Macrovascular complications in patients with diabetes are mainly caused by insulin resistance. This is why in prediabetes, the overall cardiovascular risk is, by all means, similar to that in patients with diabetes. It is important, therefore, to identify prediabetes and treat patients not only to prevent or delay the onset of diabetes, but to reduce the cardiovascular risk associated with prediabetes. This review provides an overview of the pathophysiology of prediabetes in patients with obesity and the progression toward overt diabetes. We have reviewed nutritional and pharmacological approaches to the management of obesity and reduced glucose tolerance, and the treatment of the major comorbidities in these patients, including hypertension, dyslipidaemia, and Metabolic dysfunction-associated Steatotic Liver Disease (MASLD), has also been reviewed. In patients with obesity and prediabetes, the nutritional approach is similar to that adopted for patients with obesity and diabetes; treatments of dyslipidaemia and hypertension also have the same targets compared to patients with diabetes. MASLD is a critical issue in these patients; in the prediabetic state, MASLD rarely progresses into fibrosis. This highlights the importance of the early recognition of this pathological condition before patients become diabetic when the risk of fibrosis is much higher. It is necessary to raise awareness of the clinical relevance of this pathological condition in order to prompt early intervention before complications occur. The single most important therapeutic goal is weight loss, which must be early and persistent.

Nationwide Effectiveness and Efficiency of the National Diabetes Prevention Policy Versus the Penny-per-Ounce Excise Tax Policy on Sugar-Sweetened Beverages.

Diabetes has reached epidemic levels in the United States (US). This review compared two nationwide diabetes prevention policies: the National Diabetes Prevention Program (DPP) and the Penny-per-Ounce Excise (POE) tax policy on sugar-sweetened beverages (SSBs) based on their efficiency and efficacy in reducing the number of new cases of diabetes in the US. The study made a recommendation for the implementation of one or both policies based on the comparison. The national DPP focuses on screening for prediabetes in overweight/obese individuals and having positive subjects participate in a potentially insured one-year weight loss program with CDC-approved coaches. The POE tax on SSBs on the other hand is based on taxing SSBs with the objective that it will reduce new cases of diabetes due to a lower consumption of these beverages, or a switch to healthier alternatives. Studies that predicted the impact of either policy at the national level were used to compare both policies. The incremental cost-effectiveness ratio (ICER) was calculated by dividing the difference in net costs saved by the difference in net effectiveness (diabetes cases prevented per year); thereby comparing both policies in terms of costs saved for each diabetes case prevented per year. Using only nationwide US predictions, it has been estimated that the POE tax on SSB will produce the most cost savings with a greater impact on reducing new cases of diabetes if implemented; therefore, this tax should be recommended, in addition to the already implemented DPP.

Moving from Insulin Substitution to the Treatment of the Underlying Autoimmune Disease in Type 1 Diabetes.

Currently, a paradigm change occurs in type 1 diabetes from insulin substitution to the treatment of the underlying autoimmune disease. Teplizumab, a humanized monoclonal anti-CD3 antibody, is the first FDA-approved disease-modifying treatment of preclinical stage 2 diabetes. Research of drugs like golimumab, a monoclonal antibody specific for TNF alpha, baricitinib, a tyrosine kinase inhibitor, or frexalimab, a monoclonal antibody against the CD40 ligand, is still ongoing. Repurposing drugs that have been used in other indications like the calcium channel blocker verapamil, antithymocyte globulin (ATG), an antibody preparation used in solid organ transplantation, glucagon-like peptide-1 agonists utilized in type 2 diabetes and obesity, or the antiviral drugs pleconaril and ribavirin have shown positive effects in preserving beta-cell function. While new therapies to halt autoimmunity and restore beta cells in stages one to three are being developed, replacing beta-cell function via inducible pluripotent stem cells have shown glucose control and insulin independence in long-standing type 1 diabetes, albeit with concomitant immunosuppression. Multicenter multinational initiatives developing a clinical trial network like INNODIA or a research platform with the goal of stopping type 1 diabetes in its early stages like EDENT1FI will be instrumental to study these new strategies.

Healthy Outcomes through Peer Educators: Feasibility of a peer support diabetes prevention programme for African-American grandmother caregivers.

AIM: To assess the protocol feasibility and intervention acceptability of a community-based, peer support diabetes prevention programme (DPP) for African-American (AA) grandmother caregivers at risk for diabetes. MATERIALS AND METHODS: Grandmother caregivers were randomized in a 2:1 ratio to DPP (active comparator) or DPP plus HOPE (Healthy Outcomes through Peer Educators; intervention). DPP + HOPE incorporated support from a peer educator who met with participants in person or by telephone every week during the 1-year intervention. Outcomes included: (1) recruitment rates, outcome assessment, and participation adherence rates assessed quantitatively; and (2) acceptability of the programme assessed through end-of-programme focus groups. RESULTS: We successfully consented and enrolled 78% (n = 35) of the 45 AA grandmothers screened for eligibility. Eighty percent of participants (aged 64.4 ± 5.7 years) were retained up to Week 48 (74% for DPP [n = 17] and 92% for DPP + HOPE [n = 11]). All grandmothers identified social support, neighbourhood safety, and access to grocery stores as influences on their health behaviours. At Month 12, the active comparator (DPP) group and the intervention group (DPP + HOPE) had a mean change in body weight from baseline of -3.5 ± 5.5 (-0.68, -6.29) kg and - 4.4 ± 5.7 (-0.59, -8.2) kg, respectively. CONCLUSIONS: This viable study met the aim of educating and equipping AA grandmothers with the practical and sustained support needed to work toward better health for themselves and their grandchildren, who may be at risk for diabetes. The intervention was both feasible and acceptable to participating grandmothers and their organizations.

Integrating real-world skills and diabetes lifestyle coach training into a revised health promotion and communications course.

BACKGROUND AND PURPOSE: Effective communication skills are essential for all pharmacists, regardless of practice setting. An implicit need in pharmacy education is to emphasize direct application of these skills to future healthcare practice prior to experiential rotations. The aim of this article is to describe how we revised a required first professional year (P1) doctor of pharmacy course to achieve two main goals: 1) improve the course relevance by connecting content to real-world skills; and 2) qualify all pharmacy students at our institution as certified National Diabetes Prevention Program (DPP) lifestyle coaches upon course completion. EDUCATIONAL ACTIVITY AND SETTING: Lifestyle coach training approved by the Centers for Disease Control and Prevention (CDC) was integrated into a P1 communications course consisting of 14 modules that include: review of diabetes pathophysiology, group facilitation skills, social determinants of health, food tracking, action planning, participant retention and program administration. This content serves as a direct application of pre-existing course objectives related to knowledge (evidence-based theory) and skills (technical and counseling) required for effective communication with patients, families, and health professionals. FINDINGS: Between 2019 and 2022, the redesigned course was offered to 373 P1 students. Course evaluations during this time were consistently positive. The average evaluation score since DPP activities were integrated into the course was 3.41 (on a 4-point scale). Based upon course evaluations, students appreciated three main benefits of incorporating lifestyle coach certification into the pharmacy curriculum: 1) a certified skill that can differentiate them in the job market; 2) practice of skills on real patients under faculty supervision in the community setting; 3) early exposure to pharmacy patient care topics, thus contributing to professional identity. SUMMARY: Integration of lifestyle coach training into an existing core P1 pharmacy course increased application and assessment of communications skills and allowed wider availability of trained coaches to deliver DPP in the community.

Pediatric Endocrine Society Statement on Considerations for Use of Teplizumab (Tzield™) in Clinical Practice.

Teplizumab (TzieldTM, Provention Bio), a monoclonal antibody directed at T-cell marker CD3, is the first medication approved by the FDA to delay progression from stage 2 to stage 3 type 1 diabetes. To date, the overwhelming majority of pediatric endocrinologists do not have experience using immunotherapeutics and seek guidance on the use of teplizumab in clinical practice. To address this need, the Pediatric Endocrine Society (PES) Diabetes Special Interest Group (Diabetes SIG) and Drug and Therapeutics Committee assembled a task force to review clinical trial data and solicit expert recommendations on the approach to teplizumab infusions. We present considerations on all aspects of teplizumab administration, utilizing evidence where possible and providing a spectrum of expert opinions on unknown aspects. We discuss patient selection and prescreening, highlighting the safety and considerations for monitoring and treatment of side effects. We propose a schedule of events, a protocol for administration, and discuss practice management aspects. We advocate for the need for further long-term systematic surveillance studies to continue evaluating the efficacy and safety of teplizumab.

Overview of Ethnobotanical-Pharmacological Studies Carried Out on Medicinal Plants from the Serra da Estrela Natural Park: Focus on Their Antidiabetic Potential.

The Serra da Estrela Natural Park (NPSE) in Portugal stands out as a well-preserved region abundant in medicinal plants, particularly known for their pharmaceutical applications in diabetes prevention and treatment. This comprehensive review explores these plants' botanical diversity, traditional uses, pharmacological applications, and chemical composition. The NPSE boast a rich diversity with 138 medicinal plants across 55 families identified as traditionally and pharmacologically used against diabetes globally. Notably, the Asteraceae and Lamiaceae families are prevalent in antidiabetic applications. In vitro studies have revealed their significant inhibition of carbohydrate-metabolizing enzymes, and certain plant co-products regulate genes involved in carbohydrate metabolism and insulin secretion. In vivo trials have demonstrated antidiabetic effects, including glycaemia regulation, insulin secretion, antioxidant activity, and lipid profile modulation. Medicinal plants in NPSE exhibit various activities beyond antidiabetic, such as antioxidant, anti-inflammatory, antibacterial, anti-cancer, and more. Chemical analyses have identified over fifty compounds like phenolic acids, flavonoids, terpenoids, and polysaccharides responsible for their efficacy against diabetes. These findings underscore the potential of NPSE medicinal plants as antidiabetic candidates, urging further research to develop effective plant-based antidiabetic drugs, beverages, and supplements.

The emerging adulthood gap in diabetes prevention research.

Emerging adulthood, the period between ages 18 and 25, is distinct from older and younger populations in terms of both physiology and social circumstances. As a critical developmental window with long-lasting repercussions, emerging adulthood presents a key opportunity for prevention of cardiovascular disease. Despite significant advances in diabetes and cardiovascular disease prevention for other age groups, 18-25 year-olds remain underrepresented in research. Using diabetes prevention as an example, we analyzed the cited evidence behind four major guidelines that influence US clinical practice on screening and management of prediabetes in children and adults, revealing that the majority of these studies in both the pediatric and adult literature do not include emerging adults in their study populations. This gap between the pediatric and adult diabetes prevention literature creates a missing link connecting childhood risks to adult chronic disease. In this article, we draw attention to this often overlooked age group, and provide tangible recommendations as a path forward for both pediatric and adult researchers to increase the representation of emerging adults in diabetes prevention and other cardiovascular disease prevention studies.

Randomised Controlled Trial of a Customised Text Messaging and Activity Monitor Program for Lifestyle Improvement after Gestational Diabetes.

Gestational diabetes (GDM) is associated with a long-term risk of diabetes. We aimed to determine whether a text-messaging-based lifestyle support program would improve diabetes risk factors following GDM. Women with GDM were randomised following delivery to receive four text messages per week supporting a healthy lifestyle and parenting for 6 months, with feedback from an activity monitor (intervention), or to receive the activity monitor only (control). The primary outcome was a composite of weight, physical activity and dietary goals. There were 177 women randomised, with 88 intervention and 89 control participants. All the participants experienced COVID-19 lockdowns during the study. Six-month primary outcome data were obtained for 57 intervention participants and 56 controls. There were 7/57 (12%) intervention and 6/56 (11%) control participants who met the primary outcome (relative risk, 1.08; 95%CI, 0.63-1.85; p = 0.79). Two intervention participants met the dietary goals compared to none of the control participants (p = NS). The intervention participants were more likely to record >1000 steps/day (on 102 ± 59 vs. 81 ± 59 days, p = 0.03). When analysed monthly, this was not initially different but became significant 3-6 months post-partum. Interviews and surveys indicated that with the Intervention, healthier choices were made, but these were negatively impacted by COVID-19 restrictions. Participants found the messages motivational (74%) and the activity monitor useful (71%). In conclusion, no improvement in the diabetes risk factors occurred among the women receiving the text messaging intervention when affected by COVID-19 restrictions.

Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study.

BACKGROUND: Generative artificial intelligence has the potential to revolutionize health technology product development by improving coding quality, efficiency, documentation, quality assessment and review, and troubleshooting. OBJECTIVE: This paper explores the application of a commercially available generative artificial intelligence tool (ChatGPT) to the development of a digital health behavior change intervention designed to support patient engagement in a commercial digital diabetes prevention program. METHODS: We examined the capacity, advantages, and limitations of ChatGPT to support digital product idea conceptualization, intervention content development, and the software engineering process, including software requirement generation, software design, and code production. In total, 11 evaluators, each with at least 10 years of experience in fields of study ranging from medicine and implementation science to computer science, participated in the output review process (ChatGPT vs human-generated output). All had familiarity or prior exposure to the original personalized automatic messaging system intervention. The evaluators rated the ChatGPT-produced outputs in terms of understandability, usability, novelty, relevance, completeness, and efficiency. RESULTS: Most metrics received positive scores. We identified that ChatGPT can (1) support developers to achieve high-quality products faster and (2) facilitate nontechnical communication and system understanding between technical and nontechnical team members around the development goal of rapid and easy-to-build computational solutions for medical technologies. CONCLUSIONS: ChatGPT can serve as a usable facilitator for researchers engaging in the software development life cycle, from product conceptualization to feature identification and user story development to code generation. TRIAL REGISTRATION: ClinicalTrials.gov NCT04049500; https://clinicaltrials.gov/ct2/show/NCT04049500.