The prevention of type 2 diabetes

A mixed meal tolerance test predicts onset of type 2 diabetes in Southwestern Indigenous adults

BACKGROUND/OBJECTIVE

To identify predictors of incident type 2 diabetes using a mixed meal tolerance test (MMTT).

METHODS

Adult Indigenous Americans without diabetes (n = 501) from a longitudinal cohort underwent at baseline a 4-h MMTT, measures of body composition, an oral glucose tolerance test, an intravenous glucose tolerance test for acute insulin response (AIR), and a hyperinsulinemic-euglycemic clamp for insulin action (M). Plasma glucose responses from the MMTT were quantified by the total and incremental area under the curve (AUC/iAUC).

RESULTS

At follow-up (median time 9.6 [inter-quartile range: 5.6-13.5] years), 169 participants were diagnosed with diabetes. Unadjusted Cox proportional hazards models, glucose AUC180-min (HR: 1.98, 95% CI: 1.67, 2.34, p < 0.0001), AUC240-min (HR: 1.93, 95% CI: 1.62, 2.31, p < 0.0001), and iAUC180-min (HR: 1.43, 95% CI: 1.20, 1.71, p < 0.0001) were associated with an increased risk of diabetes. After adjustment for covariates (age, sex, body fat percentage, M, AIR, Indigenous American heritage) in three subsequent models, AUC180-min (HR: 1.44, 95% CI: 1.10, 1.88, p = 0.007) and AUC240-min (HR: 1.41, 95% CI: 1.09, 1.84, p < 0.01) remained associated with increased risk of diabetes.

CONCLUSIONS

Glucose responses to a mixed meal predicted the development of type 2 diabetes. This indicates that a mixed nutritional challenge provides important information on disease risk.

CLINICAL TRIAL REGISTRY

ClinicalTrials.gov identifier : NCT00340132, NCT00339482.

Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals

INTRODUCTION

None of the studies of type 2 diabetes (T2D) subtyping to date have used linked population-level data for incident and prevalent T2D, incorporating a diverse set of variables, explainable methods for cluster characterization, or adhered to an established framework. We aimed to develop and validate machine learning (ML)-informed subtypes for type 2 diabetes mellitus (T2D) using nationally representative data.

RESEARCH DESIGN AND METHODS

In population-based electronic health records (2006-2020; Clinical Practice Research Datalink) in individuals ≥18 years with incident T2D (n=420 448), we included factors (n=3787), including demography, history, examination, biomarkers and medications. Using a published framework, we identified subtypes through nine unsupervised ML methods (K-means, K-means++, K-mode, K-prototype, mini-batch, agglomerative hierarchical clustering, Birch, Gaussian mixture models, and consensus clustering). We characterized clusters using intracluster distributions and explainable artificial intelligence (AI) techniques. We evaluated subtypes for (1) internal validity (within dataset; across methods); (2) prognostic validity (prediction for 5-year all-cause mortality, hospitalization and new chronic diseases); and (3) medication burden.

RESULTS

Development: We identified four T2D subtypes: metabolic, early onset, late onset and cardiometabolic. Internal validity: Subtypes were predicted with high accuracy (F1 score >0.98). Prognostic validity: 5-year all-cause mortality, hospitalization, new chronic disease incidence and medication burden differed across T2D subtypes. Compared with the metabolic subtype, 5-year risks of mortality and hospitalization in incident T2D were highest in late-onset subtype (HR 1.95, 1.85-2.05 and 1.66, 1.58-1.75) and lowest in early-onset subtype (1.18, 1.11-1.27 and 0.85, 0.80-0.90). Incidence of chronic diseases was highest in late-onset subtype and lowest in early-onset subtype. Medications: Compared with the metabolic subtype, after adjusting for age, sex, and pre-T2D medications, late-onset subtype (1.31, 1.28-1.35) and early-onset subtype (0.83, 0.81-0.85) were most and least likely, respectively, to be prescribed medications within 5 years following T2D onset.

CONCLUSIONS

In the largest study using ML to date in incident T2D, we identified four distinct subtypes, with potential future implications for etiology, therapeutics, and risk prediction.

Implementing weight maintenance with existing staff and electronic health record tools in a primary care setting: Baseline results from the MAINTAIN PRIME trial

BACKGROUND

There is need for interventions that can assist with long-term maintenance of healthy body weight and be sustainably integrated into existing primary care teams. The goal of MAINTAIN PRIME (Promoting Real (World) IMplEmentation) is to evaluate whether a successful electronic health record (EHR)-based weight maintenance intervention can be adapted to a new clinical setting with primary care staff serving as coaches.

METHODS

EHR tools include tracking tools, standardized surveys, and standardized "SmartPhrases" for coaching. Inclusion criteria were age 18-75 years, voluntary 5% weight loss in the past 2 years with prior BMI ≥ 25 kg/m2, and no bariatric procedures in past 2 years. Participants were randomized 1:1 to tailored online coaching with EHR tracking tools (coaching) or EHR tracking tools alone (tracking).

RESULTS

We screened 405 individuals between September 2021 and April 2023; 269 participants enrolled (134 coaching; 135 tracking). The most common reason for not enrolling was ineligibility (55%). At baseline, participants were 50.3 (SD 15.02) years old, 66.4% female, and 84% White; 83.7% reported moderate physical activity. Average weight and BMI at baseline were 205.0 (SD 48.9) lbs. and 33.2 (6.8) kg/m2, respectively. Participants lost an average of 10.7% (SD 5.2) of their body weight before enrolling. We recruited 39 primary care coaches over the same period. Conclusion The study successfully identified and recruited primary care patients with recent intentional weight loss for participation in a weight maintenance program that uses EHR-based tools. We also successfully recruited and trained primary care staff as coaches.

Effects of web-based diabetes education on knowledge retention in adult general population: An experiment

OBJECTIVE

To conduct a study to improve diabetes knowledge through a web-based diabetes course in the general adult population. We hypothesised that participation in a web-based diabetes course would have a positive impact on diabetes knowledge retention.

METHODS

Participants were randomly assigned to an experimental or control group. Participants in the experimental group attended an interactive web-based diabetes course. The Diabetes Knowledge Questionnaire (DKQ24) was used to assess the diabetes knowledge levels. The DKQ24 was completed at the beginning and end of the observation period of 3 months. The experimental group also completed it immediately after the intervention.

RESULTS

At the end of the observation period, a statistically significant difference in the mean rank of DKQ24 scores was found in favor of the experimental group (p < .001). The results of the experimental group had a lower interquartile range (IQR = 3) than those of the control group (IQR = 5).

CONCLUSIONS

This study suggests that providing a web-based diabetes course to the general population is effective and can improve diabetes knowledge and retention.

Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study

BACKGROUND

The clinical utility of genetic information for type 2 diabetes (T2D) prediction with polygenic scores (PGS) in ancestrally diverse, real-world US healthcare systems is unclear, especially for those at low clinical phenotypic risk for T2D.

METHODS

We tested the association of PGS with T2D incidence in patients followed within a primary care practice network over 16 years in four hypothetical scenarios that varied by clinical data availability (N = 14,712): (1) age and sex; (2) age, sex, body mass index (BMI), systolic blood pressure, and family history of T2D; (3) all variables in (2) and random glucose; and (4) all variables in (3), HDL, total cholesterol, and triglycerides, combined in a clinical risk score (CRS). To determine whether genetic effects differed by baseline clinical risk, we tested for interaction with the CRS.

RESULTS

PGS was associated with incident T2D in all models. Adjusting for age and sex only, the Hazard Ratio (HR) per PGS standard deviation (SD) was 1.76 (95% CI 1.68, 1.84) and the HR of top 5% of PGS vs interquartile range (IQR) was 2.80 (2.39, 3.28). Adjusting for the CRS, the HR per SD was 1.48 (1.40, 1.57) and HR of the top 5% of PGS vs IQR was 2.09 (1.72, 2.55). Genetic effects differed by baseline clinical risk ((PGS-CRS interaction p = 0.05; CRS below the median: HR 1.60 (1.43, 1.79); CRS above the median: HR 1.45 (1.35, 1.55)).

CONCLUSIONS

Genetic information can help identify high-risk patients even among those perceived to be low risk in a clinical evaluation.

Exercise training modalities in prediabetes: a systematic review and network meta-analysis

Background

Lifestyle modification based on exercise intervention is still the primary way to delay or reverse the development of diabetes in patients with prediabetes. However, there are still challenges in setting up a detailed exercise prescription for people with prediabetes. This study mainly ranks exercise prescriptions by comparing the improvement of glucose and lipid metabolism and the level of weight loss in patients.

Method

All studies on exercise intervention in prediabetes were identified by searching five electronic databases. Risk assessment and meta-analysis were performed on eligible studies.

Results

Twenty-four studies involving 1946 patients with prediabetes and seven exercise intervention models were included in the final analysis. The meta-analysis showed that exercise of any type was more effective for glycemic control in prediabetes than no exercise. However, the changes in blood glucose were moderate. In prediabetes, combining moderate-intensity aerobic exercise with low-to moderate-load resistance training showed the most significant improvements in glycosylated hemoglobin (HbA1c), body mass index (BMI), body weight (BW), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL) (P-score=0.82; 0.70; 0.87; 1; 0.99), low-to moderate-load resistance training showed the most significant improvements in fasting blood glucose (FBG) (P-score=0.98), the vigorous-intensity aerobic exercise showed the most significant improvements in 2-hour post-meal blood glucose (2hPG) and systolic blood pressure (SBP) (P-score=0.79; 0.78), and moderate-intensity aerobic exercise showed the most significant improvements in diastolic blood pressure (DBP) (P-score=0.78).

Conclusion

In summary, moderate-intensity aerobic exercise, low-to moderate-load resistance training and the combination of both have beneficial effects on glycemic control, weight loss, and cardiovascular health in patients with prediabetes. These findings provide valuable guidance for rehabilitation clinicians and patients alike to follow.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD 42021284922.

A culturally and linguistically adapted text-message Diabetes Prevention Program for Latinos: Feasibility, acceptability, and preliminary effectiveness

Despite the general positive outcomes of the Diabetes Prevention Program (DPP), the program's reach, adherence, and effectiveness among Latinos are still suboptimal. Text-message DPP can potentially overcome barriers and improve DPP outcomes for this group. We aimed to assess the feasibility, acceptability, and preliminarily effectiveness of a culturally and linguistically adapted text-message DPP for Latinos. We enrolled 26 eligible Spanish-speaking Latino adults at risk of developing type 2 diabetes (A1c = 5.7%-6.4%, body mass index ≥25) in a 6-month culturally and linguistically adapted text-message DPP. Participants received (i) two to three daily automated text-messages about healthy eating, physical activity, problem-solving skills, lifestyle change motivation, and logistics, (ii) on-demand keyword-driven messages, and (iii) on-demand chat messages with a DPP coach. Outcomes included feasibility (e.g. adherence), acceptability (e.g. satisfaction), and preliminary effectiveness (e.g. weight loss). Twenty-four participants completed the program and follow-up assessments. Participants' mean body weight changed from 191.2 to 186.7 pounds (P = .004); 45.8% of participants lost ≥3%, and 29.2% lost ≥5% of body weight. Body mass index and waist circumference were also reduced [0.9 kg/m2 (P = .003) and 1.1 cm (P = .03), pre-post]. Self-reported physical activity frequency was increased (P = .003). No statistically significant changes in diet quality were found. Most participants were satisfied with the program and perceived it to help prevent diabetes. Our pilot study of an innovative text-message DPP for Latinos demonstrated the program was acceptable, feasible, and potentially effective. Using text-message for DPP can reduce barriers to in-person participation by increasing the program's reach without compromising fidelity and effectiveness.

Combined Placental Mesenchymal Stem Cells with Guided Nanoparticles Effective Against Diabetic Nephropathy in Mouse Model

Background

Diabetic nephropathy (DN) is a prevalent complication of diabetes mellitus and constitutes the primary cause of mortality in affected patients. Previous studies have shown that placental mesenchymal stem cells (PL-MSCs) can alleviate kidney dysfunction in animal models of DN. However, the limited ability of mesenchymal stem cells (MSCs) to home to damaged sites restricts their therapeutic potential. Enhancing the precision of PL-MSCs' homing to target tissues is therefore vital for the success of cell therapies in treating DN.

Methods

We developed Fe3O4 coated polydopamine nanoparticle (NP)-internalized MSCs and evaluated their therapeutic effectiveness in a mouse model of streptozotocin- and high-fat diet-induced DN, using an external magnetic field.

Results

Our study confirmed that NPs were effectively internalized into PL-MSCs without compromising their intrinsic stem cell properties. The magnetic targeting of PL-MSCs notably improved their homing to the kidney tissues in mice with DN, resulting in enhanced kidney function compared to the transplantation of PL-MSCs alone. Furthermore, the anti-inflammatory and antifibrotic attributes of PL-MSCs played a role in the recovery of kidney function and structure.

Conclusion

These results demonstrate that magnetically targeted therapy using PL-MSCs is a promising approach for treating diabetic nephropathy.

Public Expectations and Needs Related to Type 2 Diabetes Prevention: A Population-Based Cross-Sectional Study in Poland

Objective: This study aimed to understand the public's expectations regarding type 2 diabetes prevention and to identify factors associated with willingness to participate in preventive activities among adults in Poland. Methods: A cross-sectional survey was carried out using a computer-assisted web interview (CAWI) on a representative sample of 1,046 adults in Poland. A non-probability quota sampling method was used. A study tool was a self-prepared questionnaire. Results: Most respondents (77.3%) declared willingness to participate in preventive activities. Consultation with a diabetologist (75.1%) or family doctor consultation (74.9%) were the most often selected. Lifestyle interventions in the form of dietary and culinary workshops (58.1%) were the least chosen. Having higher education (OR = 3.83, 1.64-8.94, p = 0.002), chronic diseases (OR = 1.36, 1.01-1.85, p = 0.04), and a history of diabetes in the family (OR = 1.67, 1.21-2.30, p = 0.002) were significantly associated with a higher interest in type 2 diabetes prevention. Conclusion: The adults in Poland are keen on participating in diabetes prevention programs, mostly those based on medical counselling rather than lifestyle-oriented interventions. Educational level was the most important factor associated with willingness to participate in type 2 diabetes prevention.

Abnormal adiposity indices are associated with an increased risk of diabetes in a non-obese Asian population

OBJECTIVES

The aim of this study was to evaluate the association between adiposity indices and the risk of incident diabetes and to compare their predictive ability in non-obese healthy individuals.

STUDY DESIGN

Population-based cohort study.

METHODS

Data were taken from the NAGALA research study, which enrolled Japanese adults aged 18-79 years. Cox regression was used to evaluate the association between adiposity indices (including waist circumference [WC], waist-to-height ratio [WHtR], lipid accumulation product index [LAP], body roundness index [BRI], visceral adiposity index [VAI] and Chinese visceral adiposity index [CVAI]) and diabetes risk. The performance of the indices for predicting diabetes was explored using area under the receiver operating characteristic curve (AUC). A Chinese community-based population was used for validation.

RESULTS

A total of 12,940 healthy Japanese individuals with normal body mass index and glycaemic levels were included and were followed up for a median of 6 years. Multivariable Cox models revealed a positive and significant association between all indices and incident diabetes, with the hazard ratios for the highest quartile of the indices ranging from 1.89 to 2.90 (all P-values < 0.01). A non-linear association between WC, BRI and VAI and a linear association between WHtR, LAP and CVAI and diabetes risk were observed. CVAI, VAI and LAP had comparable ability in predicting diabetes, with the highest AUC being 0.733 for CVAI. Data from 10,830 Chinese individuals confirmed these results.

CONCLUSIONS

Adiposity indices are associated with incident diabetes in healthy non-obese individuals. Participants in the highest quartile of WC, WHtR, LAP, BRI, VAI and CVAI had an increased risk of developing diabetes.

Efficacy and safety of polyethylene glycol loxenatide in type 2 diabetic patients: a systematic review and meta-analysis of randomized controlled trials

Polyethylene glycol loxenatide (PEX168) is a novel glucagon-like peptide-1 receptor agonist with a longer half-life developed by modifying the chemical structure of exenatide. This study aims to assess the efficacy and safety of PEX168 and determine the best dose. We searched PubMed, Scopus, Cochrane Library, and Web of Science databases from inception to April 25, 2023, for randomized controlled trials (RCTs) comparing PEX168 therapy alone or in combination with metformin versus other therapies. We used the risk ratio (RR) for dichotomous outcomes and the mean difference (MD) for continuous outcomes, both with 95% confidence intervals (CI). Six RCTs, including 1248 participants, were included. PEX168 added to metformin was significantly better than metformin alone regarding fasting blood glucose (MD = -1.20, 95% CI (-1.78,  - 0.62), p < 0.0001), HbA1c (MD = -1.01, 95% CI (-1.48,  - 0.53), p < 0.0001), and postprandial glycemia (MD = -1.94, 95% CI (-2.99,  - 0.90), p = 0.0003). Similarly, for glycemic control, PEX168 monotherapy was superior to placebo (P < 0.05). No significant effects were noticed in terms of triglycerides, low-density lipoprotein, or high-density lipoprotein (p > 0.05). Body weight was significantly reduced in obese diabetic patients receiving PEX168 compared to the control group (MD = -5.46, 95% CI (-7.90,  - 3.01), p < 0.0001) but not in non-obese patients (MD = 0.06, 95% CI (-0.47, 0.59), p = 0.83). People who received PEX168 alone or with metformin showed more common gastrointestinal adverse effects, especially nausea and vomiting (p < 0.05). PEX168 100, 200, and 300 ug monotherapy demonstrated comparable safety and diabetes control to metformin, but when combined with metformin, PEX168 100 and 200 ug showed significant effects on diabetes control; however, only the latter showed a significantly higher incidence of nausea and vomiting (p < 0.05). PEX168 could be a viable option for treating diabetic patients whose metformin control is inadequate or who cannot tolerate metformin. PEX168 at 100 ug in combination with metformin was found to be safe and more effective compared to metformin; however, due to the small number of trials included, these findings should be interpreted with caution, and additional trials are required.

Glycated Hemoglobin Is Suboptimal for the Screening of Prediabetes and Type 2 Diabetes in Adults With Nonalcoholic Fatty Liver Disease

OBJECTIVES

Nonalcoholic fatty liver disease (NAFLD) is a risk factor for type 2 diabetes (T2D), but T2D screening tests are not well validated in this population. In this study, we assessed performance of glycated hemoglobin (A1C) and fasting plasma glucose (FPG) in glucose dysmetabolism screening and aimed to optimize detection thresholds for individuals with NAFLD.

METHODS

We retrospectively included oral glucose tolerance tests (OGTTs) from consecutive patients undergoing a specialized clinic for NAFLD, if A1C and/or fasting glucose was available within 3 months of OGTT. We compared performances of A1C and fasting glucose with the "gold standard" of OGTT using thresholds from the 2018 Diabetes Canada guidelines. A1C and FPG thresholds were optimized for detection of glucose dysmetabolism using receiver operating characteristic curves.

RESULTS

We included 63 OGTTs from individuals with NAFLD (52% female, age 48 [interquartile range 35 to 63] years, body mass index 34 [interquartile range 29 to 40] kg/m2). A1C had 16% (95% confidence interval [CI] 6% to 38%) sensitivity (Se) and 97% (95% CI 85% to 100%) specificity (Sp) for T2D detection, and 45% (95% CI 30% to 62%) Se and 100% (95% CI 83% to 100%) Sp for abnormal blood glucose detection. FPG had 67% (95% CI 45% to 83%) Se and 100% (95% CI 92% to 100%) Sp for T2D detection, and 74% (95% CI 59% to 85%) Se and 92% (95% CI 74% to 99%) Sp for abnormal blood glucose detection. Optimal A1C and FPG thresholds were 5.6% and 6.3 mmol/L for T2D detection, which are lower than current recommendations.

CONCLUSIONS

A1C is less sensitive than FPG and is suboptimal for T2D detection, suggesting that OGTT may be obtained if A1C is ≥5.6% or FPG is ≥6.3 mmol/L in individuals with NAFLD, to avoid underdiagnosis and treatment inertia.

Dietary branched-chain amino acids intake, glycemic markers, metabolic profile, and anthropometric features in a community-based sample of overweight and obese adults

BACKGROUND

Existing research provides conflicting evidence regarding the relationship between estimated branched-chain amino acid (BCAA) intake and metabolic, glycemic markers, and anthropometric characteristics. This research seeks to examine the association between estimated dietary BCAA consumption and glycemic, and metabolic markers, as well as anthropometric parameters in adults classified as overweight or obese.

METHODS

In this cross-sectional analysis, we gathered data from 465 overweight and obese individuals aged between 18 and 37 years. To evaluate dietary data, we employed the food frequency questionnaire, and the BCAA content in foods was determined via the United States Department of Agriculture website. We utilized ELISA kits to measure fasting blood glucose (FBS) and lipid profile markers, and additionally calculated low-density lipoprotein (LDL) and insulin sensitivity markers. We assessed sociodemographic status, physical activity (PA), and anthropometric attributes through a method recognized as both valid and reliable. For statistical analysis, we conducted analyses of covariance (ANCOVA), making adjustments for variables including sex, PA, age, energy, and body mass index (BMI).

RESULTS

Upon adjusting for confounders, those in the highest tertiles of BCAA intake exhibited an increase in weight, BMI, waist circumference (WC), waist-to-hip ratio (WHR), and fat-free mass (FFM). Conversely, they demonstrated reduced fat mass (FM) (%) and FM (kg) compared to their counterparts in the lowest tertiles (P < 0.05). Additionally, there was a noted association between greater estimated BCAA intake and reduced LDL levels. Nonetheless, our findings did not reveal a significant relationship between dietary BCAA and glycemic indices.

CONCLUSIONS

From our findings, an increased estimated intake of BCAA seems to correlate with diminished serum LDL concentrations. To gain a more comprehensive understanding of this association, it is imperative that further experimental and longitudinal studies be conducted.

Polygenic Scores for Longitudinal Prediction of Incident Type 2 Diabetes in an Ancestrally and Medically Diverse Primary Care Network

OBJECTIVE

The clinical utility of genetic information for type 2 diabetes (T2D) prediction with polygenic score (PGS) in ancestrally diverse, real-world US healthcare systems is unclear, especially for those at low clinical phenotypic risk for T2D.

RESEARCH DESIGN AND METHODS

We tested the association of PGS with T2D incidence in patients followed within a primary care practice network over 16 years in four hypothetical scenarios that varied by clinical data availability (N = 14,712): 1) age and sex, 2) age, sex, BMI, systolic blood pressure, and family history of diabetes; 3) all variables in (2) and random glucose; 4) all variables in (3), HDL, total cholesterol, and triglycerides, combined in a clinical risk score (CRS). To determine whether genetic effects differed by baseline clinical risk, we tested for interaction with the CRS.

RESULTS

PGS was associated with incident diabetes in all models. Adjusting for age and sex only, the Hazard Ratio (HR) per PGS standard deviation (SD) was 1.76 (95% CI 1.68, 1.84) and the HR of top 5% of PGS vs interquartile range (IQR) was 2.80 (2.39, 3.28). Adjusting for the CRS, the HR per SD was 1.48 (1.40, 1.57) and HR of top 5% of PGS vs IQR was 2.09 (1.72, 2.55). Genetic effects differed by baseline clinical risk [(PGS-CRS interaction p =0.05; CRS below the median: HR 1.60 (1.43, 1.79); CRS above the median: HR 1.45 (1.35, 1.55)].

CONCLUSIONS

Genetic information can help identify high-risk patients even among those perceived to be low risk in a clinical evaluation.

Associations of updated cardiovascular health metrics, including sleep health, with incident diabetes and cardiovascular events in older adults with prediabetes: A nationwide population-based cohort study

AIMS

To investigate the association of updated cardiovascular health (CVH) metrics, including sleep health, with the risk of diabetes and major adverse cardiovascular events (MACE) in older adults with prediabetes.

METHODS

A total of 7,948 older adults with prediabetes aged ≥ 65 years were included in this study. CVH was assessed using seven baseline metrics according to the modified American Heart Association recommendations.

RESULTS

During a median follow-up time of 11.9 years, 2,405 (30.3%) cases of diabetes and 2,039 (25.6%) MACE were recorded. Compared with the poor composite CVH metrics group, the multivariable-adjusted hazard ratios (HRs) in the intermediate and ideal composite CVH metrics groups were respectively 0.87 (95% confidence intervals [CI] = 0.78-0.96) and 0.72 (95% CI = 0.65-0.79) for diabetes events and 0.99 (95% CI = 0.88-1.11) and 0.88 (95% CI = 0.79-0.97) for MACE. The ideal composite CVH metrics group had a lower risk of diabetes and MACE in older adults aged 65-74 years, but not in those aged ≥ 75 years.

CONCLUSIONS

Ideal composite CVH metrics in older adults with prediabetes were associated with a lower risk of diabetes and MACE.

The interactive relationship of dietary choline and betaine with physical activity on circulating creatine kinase (CK), metabolic and glycemic markers, and anthropometric characteristics in physically active young individuals

BACKGROUND

There is conflicting evidence on the relationship between dietary choline and betaine with metabolic markers and anthropometric characteristics. The aim of this study is to investigate the relationship between the interaction effects of dietary choline and betaine and physical activity (PA) on circulating creatine kinase (CK), metabolic and glycemic markers, and anthropometric characteristics in active youth.

METHODS

In this cross-sectional study, data were collected from 120 to 18 to 35-year-old people. The food frequency questionnaire was used to assess dietary data; United States Department of Agriculture website was used to calculate choline and betaine in foods. CK, fasting blood sugar (FBS) and lipid profile markers were measured with ELISA kits. Low-density lipoprotein, and insulin sensitivity markers were calculated. Sociodemographic status, physical activity, and anthropometric characteristics were assessed based on a valid and reliable method. Analysis of co-variance (ANCOVA) tests adjusted for sex, PA, age, energy, and body mass index were used.

RESULTS

Increasing dietary betaine and total choline and betaine was positively related to weight, waist-to-hip ratio, fat-free mass and bone mass (P < 0.05). Increasing dietary betaine lowered total cholesterol (P = 0.032) and increased high density lipoprotein (HDL) (P = 0.049). The interaction effect of dietary choline and physical activity improved insulin resistance (P < 0.05). As well as dietary betaine interacted with physical activity increased HDL (P = 0.049). In addition, dietary total choline and betaine interacted with physical activity decreased FBS (P = 0.047).

CONCLUSIONS

In general, increasing dietary choline and betaine along with moderate and high physical activity improved insulin resistance, increased HDL, and lowered FBS in the higher tertiles of dietary choline and betaine.

Protein Quality, Glycemic and Metabolic Indices and Anthropometric Features Among Overweight and Obese Adults

Background

Various studies have shown an inverse relationship between the quality of protein intake based on essential amino acids (EAAs) with obesity and its complications. We assumed that increasing EAAs-based protein intake quality improves glycemic and metabolic markers and anthropometric measurements in obese and overweight people.

Methods

This cross-sectional study included 180 obese and overweight participants aged 18 to 35. Dietary information was obtained using an 80-item food frequency questionnaire. The total intake of EAAs was calculated using the United States department of agriculture (USDA) database. Quality protein was defined as the ratio of EAAs (gr) to total dietary protein (gr). Sociodemographic status, physical activity (PA), and anthropometric characteristics were evaluated using a valid and reliable method. Analysis of covariance (ANCOVA) tests adjusted for sex, PA, age, energy, and body mass index (BMI) were used to measure this association.

Results

Protein quality intake was highest among the group with the lowest weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and fat mass (FM); and on the other hand, the fat-free mass (FFM) has increased; also Increasing the quality of protein intake improved the lipid profile and some glycemic indices and insulin sensitivity, although this association was not significant.

Conclusions

Increasing the quality of protein intake significantly improved anthropometric measurements, and also improved some glycemic and metabolic indices although, their relationship was not significant.

Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes

The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.

Diabetes, gaps in care coordination, and preventable adverse events

OBJECTIVES

To compare the frequency of self-reported gaps in care coordination and self-reported preventable adverse events among adults with vs without diabetes.

STUDY DESIGN

Cross-sectional analysis of REasons for Geographic And Racial Differences in Stroke (REGARDS) study participants 65 years and older who completed a survey on health care experiences in 2017-2018 (N = 5634).

METHODS

We analyzed the association of diabetes with self-reported gaps in care coordination and with preventable adverse events. Gaps in care coordination were assessed using 8 validated questions. Four self-reported adverse events were studied (drug-drug interactions, repeat medical tests, emergency department visits, and hospitalizations). Respondents were asked if they thought these events could have been prevented with better communication among providers.

RESULTS

Overall, 1724 (30.6%) participants had diabetes. Among participants with and without diabetes, 39.3% and 40.7%, respectively, reported any gap in care coordination. The adjusted prevalence ratio (aPR) for any gap in care coordination for participants with vs without diabetes was 0.97 (95% CI, 0.89-1.06). Any preventable adverse event was reported by 12.9% and 8.7% of participants with and without diabetes, respectively. The aPR for any preventable adverse event for participants with vs without diabetes was 1.22 (95% CI, 1.00-1.49). Among participants with and without diabetes, the aPRs for any preventable adverse event associated with any gap in care coordination were 1.53 (95% CI, 1.15-2.04) and 1.50 (95% CI, 1.21-1.88), respectively (P comparing aPRs = .922).

CONCLUSIONS

Interventions to improve quality of care for patients with diabetes could incorporate patient-reported gaps in care coordination to aid in preventing adverse events.

Is There an Optimal Time of Day for Exercise? A Commentary on When to Exercise for People Living With Type 1 or Type 2 Diabetes

Exercise is a cornerstone of diabetes self-care because of its association with many health benefits. Several studies that have explored the best time of day to exercise to inform clinical recommendations have yielded mixed results. For example, for people with prediabetes or type 2 diabetes, there may be benefits to timing exercise to occur after meals, whereas people with type 1 diabetes may benefit from performing exercise earlier in the day. One common thread is the health benefits of consistent exercise, suggesting that the issue of exercise timing may be secondary to the goal of helping people with diabetes establish an exercise routine that best fits their life.

The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population

AIMS/HYPOTHESIS

There is limited information on how polygenic scores (PSs), based on variants from genome-wide association studies (GWASs) of type 2 diabetes, add to clinical variables in predicting type 2 diabetes incidence, particularly in non-European-ancestry populations.

METHODS

For participants in a longitudinal study in an Indigenous population from the Southwestern USA with high type 2 diabetes prevalence, we analysed ten constructions of PS using publicly available GWAS summary statistics. Type 2 diabetes incidence was examined in three cohorts of individuals without diabetes at baseline. The adult cohort, 2333 participants followed from age ≥20 years, had 640 type 2 diabetes cases. The youth cohort included 2229 participants followed from age 5-19 years (228 cases). The birth cohort included 2894 participants followed from birth (438 cases). We assessed contributions of PSs and clinical variables in predicting type 2 diabetes incidence.

RESULTS

Of the ten PS constructions, a PS using 293 genome-wide significant variants from a large type 2 diabetes GWAS meta-analysis in European-ancestry populations performed best. In the adult cohort, the AUC of the receiver operating characteristic curve for clinical variables for prediction of incident type 2 diabetes was 0.728; with the PS, 0.735. The PS's HR was 1.27 per SD (p=1.6 × 10-8; 95% CI 1.17, 1.38). In youth, corresponding AUCs were 0.805 and 0.812, with HR 1.49 (p=4.3 × 10-8; 95% CI 1.29, 1.72). In the birth cohort, AUCs were 0.614 and 0.685, with HR 1.48 (p=2.8 × 10-16; 95% CI 1.35, 1.63). To further assess the potential impact of including PS for assessing individual risk, net reclassification improvement (NRI) was calculated: NRI for the PS was 0.270, 0.268 and 0.362 for adult, youth and birth cohorts, respectively. For comparison, NRI for HbA1c was 0.267 and 0.173 for adult and youth cohorts, respectively. In decision curve analyses across all cohorts, the net benefit of including the PS in addition to clinical variables was most pronounced at moderately stringent threshold probability values for instituting a preventive intervention.

CONCLUSIONS/INTERPRETATION

This study demonstrates that a European-derived PS contributes significantly to prediction of type 2 diabetes incidence in addition to information provided by clinical variables in this Indigenous study population. Discriminatory power of the PS was similar to that of other commonly measured clinical variables (e.g. HbA1c). Including type 2 diabetes PS in addition to clinical variables may be clinically beneficial for identifying individuals at higher risk for the disease, especially at younger ages.

A Pilot Study to Examine the Feasibility and Acceptability of a Virtual Adaptation of an In-Person Adolescent Diabetes Prevention Program

BACKGROUND

Rates of prediabetes and type 2 diabetes are alarmingly high among racial/ethnic minority youth. The current study examines the virtual adaptation of an in-person peer-led youth diabetes prevention program.

METHODS

The initial phase involved the study team adapting workshop sessions from an in-person to a virtual format (Zoom). We conducted a 2-h feasibility pilot in December 2020 and implemented the full 12 session pilot program from June to September 2021 with 14 prediabetic adolescents recruited from our hospital-based general pediatric clinic. Weekly sessions were led by trained peer educators and focused on promoting healthy eating and physical activity using behavioral techniques (e.g., goal setting, brainstorming, and problem solving).

RESULTS

The virtual adaptation of our program was shown to be feasible and acceptable among our pilot participants. We were able to deliver the same workshop content and behavioral skills development as the in-person workshop using a variety of Zoom features.

CONCLUSIONS

Our peer-led youth diabetes prevention program was successfully adapted and implemented in a virtual format and was well accepted by at-risk youth. Future research is needed to examine the impact of virtual youth lifestyle interventions on behavioral and clinical outcomes such as weight and diabetes risk.

Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire

We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20–64 years) from Tokyo and surrounding areas were recruited. Participants underwent an oral glucose tolerance test (OGTT) and completed a questionnaire regarding lifestyle and physical characteristics. They were classified into four glycometabolic categories based on the OGTT results: category 1: best glucose metabolism, category 2: low insulin sensitivity, category 3: low insulin secretion, and category 4: combined characteristics of categories 2 and 3. A total of 977 individuals were included; the ratios of participants in categories 1, 2, 3, and 4 were 46%, 21%, 14%, and 19%, respectively. Machine learning models (decision tree, support vector machine, random forest, and XGBoost) were developed for identifying the glycometabolic category using questionnaire responses. Then, the top 10 most important variables in the random forest model were selected, and another random forest model was developed using these variables. Its areas under the receiver operating characteristic curve (AUCs) to classify category 1 and the others, category 2 and the others, category 3 and the others, and category 4 and the others were 0.68 (95% confidence intervals: 0.62–0.75), 0.66 (0.58–0.73), 0.61 (0.51–0.70), and 0.70 (0.62–0.77). For external validation of the model, the same dataset of 452 Japanese adults in Hokkaido was obtained. The AUCs to classify categories 1, 2, 3, and 4 and the others were 0.66 (0.61–0.71), 0.57 (0.51–0.62), 0.60 (0.50–0.69), and 0.64 (0.57–0.71). In conclusion, our model could identify the glucose metabolism status using only 10 factors of lifestyle and physical characteristics. This model may help the larger general population without diabetes to understand their glucose metabolism status and encourage lifestyle improvement to prevent diabetes.

Correlation between Glycation-Related Biomarkers and Quality of Life in the General Japanese Population: The Iwaki Cross-Sectional Research Study

The correlation between diabetes-related biomarkers and quality of life (QOL) remains unclear. In this cross-sectional study, we investigated the correlation between diabetes-related biomarkers and QOL in a general Japanese population who underwent health checkups as a part of the Iwaki Health Promotion Project. Male and female participants aged ≥ 20 years from Iwaki District, Hirosaki City, Aomori Prefecture who participated in the 2019 medical evaluation were recruited. QOL was evaluated using the Short Form Health Survey 36 (SF-36). Fasting blood glucose, homeostatic model assessment-estimated insulin resistance (HOMA-IR), hemoglobin A1c (HbA1c), glycoalbumin, and plasma pentosidine were also evaluated as diabetes-related markers. Of the 1065 recruited participants, 1053 completed the clinical and QOL evaluations. Multivariate regression analysis revealed that upregulated diabetes-related markers levels were correlated with decreased SF-36 scores. Blood glucose, HOMA-IR, HbA1c, glycoalbumin, and plasma pentosidine levels were correlated with general health. Moreover, plasma pentosidine levels were correlated with role physical, social functioning, and role emotional in addition to general health. These results indicated that the levels of diabetes-related biomarkers, particularly the levels of plasma pentosidine, a glycation marker, were associated with QOL in our cohort.

Development of a Web-Based, Guided Self-help, Acceptance and Commitment Therapy-Based Intervention for Weight Loss Maintenance: Evidence-, Theory-, and Person-Based Approach

Background

The long-term impact and cost-effectiveness of weight management programs depend on posttreatment weight maintenance. There is growing evidence that interventions based on third-wave cognitive behavioral therapy, particularly acceptance and commitment therapy (ACT), could improve long-term weight management; however, these interventions are typically delivered face-to-face by psychologists, which limits the scalability of these types of intervention.

Objective

The aim of this study is to use an evidence-, theory-, and person-based approach to develop an ACT-based intervention for weight loss maintenance that uses digital technology and nonspecialist guidance to minimize the resources needed for delivery at scale.

Methods

Intervention development was guided by the Medical Research Council framework for the development of complex interventions in health care, Intervention Mapping Protocol, and a person-based approach for enhancing the acceptability and feasibility of interventions. Work was conducted in two phases: phase 1 consisted of collating and analyzing existing and new primary evidence and phase 2 consisted of theoretical modeling and intervention development. Phase 1 included a synthesis of existing evidence on weight loss maintenance from previous research, a systematic review and network meta-analysis of third-wave cognitive behavioral therapy interventions for weight management, a qualitative interview study of experiences of weight loss maintenance, and the modeling of a justifiable cost for a weight loss maintenance program. Phase 2 included the iterative development of guiding principles, a logic model, and the intervention design and content. Target user and stakeholder panels were established to inform each phase of development, and user testing of successive iterations of the prototype intervention was conducted.

Results

This process resulted in a guided self-help ACT-based intervention called SWiM (Supporting Weight Management). SWiM is a 4-month program consisting of weekly web-based sessions for 13 consecutive weeks followed by a 4-week break for participants to reflect and practice their new skills and a final session at week 18. Each session consists of psychoeducational content, reflective exercises, and behavioral experiments. SWiM includes specific sessions on key determinants of weight loss maintenance, including developing skills to manage high-risk situations for lapses, creating new helpful habits, breaking old unhelpful habits, and learning to manage interpersonal relationships and their impact on weight management. A trained, nonspecialist coach provides guidance for the participants through the program with 4 scheduled 30-minute telephone calls and 3 further optional calls.

Conclusions

This comprehensive approach facilitated the development of an intervention that is based on scientific theory and evidence for supporting people with weight loss maintenance and is grounded in the experiences of the target users and the context in which it is intended to be delivered. The intervention will be refined based on the findings of a planned pilot randomized controlled trial.

Comprehensive cost-effectiveness of diabetes management for the underserved in the United States: A systematic review

BACKGROUND

Diabetes mellitus affects almost 10% of U.S. adults, leading to human and financial burden. Underserved populations experience a higher risk of diabetes and related complications resulting from a combination of limited disposable income, inadequate diet, and lack of insurance coverage. Without the requisite resources, underserved populations lack the ability to access healthcare and afford prescription drugs to manage their condition. The aim of this systematic review is to synthesize the findings from cost-effectiveness studies of diabetes management in underserved populations.

METHODS

Original, English, peer-reviewed cost-effectiveness studies of diabetes management in U.S. underserved populations were obtained from 8 databases, and PRISMA 2009 reporting guidelines were followed. Evidence was categorized as strong or weak based on a combination of GRADE and American Diabetes Association guidelines. Internal validity was assessed by the Cochrane methodology. Studies were classified by incremental cost-effectiveness ratio as very cost-effective (ICER≤US$25,000), cost-effective (US$25,000<ICER≤US$50,000), marginally cost-effective (US$50,000<ICER≤US$100,000) or cost-ineffective (ICER>US$100,000). Reporting and quality of economic evaluations was assessed using the CHEERS guidelines and Recommendations of Second Panel for Cost-Effectiveness in Health and Medicine, respectively.

FINDINGS

Fourteen studies were included. All interventions were found to be cost-effective or very cost-effective. None of the studies reported all 24 points of the CHEERS guidelines. Given the considered cost categories vary significantly between studies, assessing cost-effectiveness across studies has many limitations. Program costs were consistently analyzed, and a third of the included studies (n = 5) only examined these costs, without considering other costs of diabetes care.

INTERPRETATION

Cost-effectiveness studies are not based on a standardized methodology and present incomplete or limited analyses. More accurate assessment of all direct and indirect costs could widen the gap between intervention and usual care. This demonstrates the urgent need for a more standardized and comprehensive cost-effectiveness framework for future studies.

Impact of Exercise and Detraining during Childhood on Brown Adipose Tissue Whitening in Obesity

This study aimed to investigate the influence of childhood exercise and detraining on brown adipose tissue (BAT) whitening in obesity. Four-week-old male Long-Evans Tokushima Otsuka (LETO) rats (n = 9) and Otsuka Long-Evans Tokushima Fatty (OLETF) rats (n = 24) were used as non-obese and obese animals, respectively. OLETF rats were divided into non-exercise sedentary (n = 9) and exercise groups. OLETF rats in the exercise group were further divided into subgroups according to the exercise period—exercise from 10- to 12-weeks-old (n = 6); and exercise from 4- to 6-weeks-old, and detraining from 6- to 12-weeks-old (n = 9). At 12-weeks-old, immediately after exercise period, BAT whitening in OLETF rats was inhibited by exercise despite the fact that hypertrophy was not caused in the plantaris muscle. However, the effectiveness was attenuated during the detraining period. Histological BAT whitening and downregulation of uncoupling protein-1 (UCP-1) were found in non-exercise sedentary OLETF rats at 12-weeks-old. The downregulation was not inhibited, even though exercise histologically inhibited BAT whitening in OLETF rats. Childhood exercise decreased BAT whitening in obesity. Detraining attenuated the inhibition of BAT whitening. These results suggest that regular exercise is needed to improve BAT whitening and downregulation of UCP-1 in obesity.

Type 2 diabetes mellitus in older adults: clinical considerations and management

The past 50 years have seen a growing ageing population with an increasing prevalence of type 2 diabetes mellitus (T2DM); now, nearly half of all individuals with diabetes mellitus are older adults (aged ≥65 years). Older adults with T2DM present particularly difficult challenges. For example, the accentuated heterogeneity of these patients, the potential presence of multiple comorbidities, the increased susceptibility to hypoglycaemia, the increased dependence on care and the effect of frailty all add to the complexity of managing diabetes mellitus in this age group. In this Review, we offer an update on the key pathophysiological mechanisms associated with T2DM in older people. We then evaluate new evidence relating particularly to the effects of frailty and sarcopenia, the clinical difficulties of age-associated comorbidities, and the implications for existing guidelines and therapeutic options. Our conclusions will focus on the effect of T2DM on an ageing society.

Prevention of Type 2 Diabetes

The global diabetes burden is staggering, and prevention efforts are needed to reduce the impact on individuals and populations. There is strong evidence from efficacy trials showing that lifestyle interventions promoting increased physical activity, improvements in diet, and/or weight loss significantly reduce diabetes incidence and improve cardiometabolic risk factors. Implementation research assessing the feasibility, effectiveness, and cost-effectiveness of delivering these proven programs at the community level has shown success, but more research is needed to overcome barriers to implementation in different settings globally. New avenues of research should be considered to combat this public health issue.

Implementation of a community-based low-calorie dietary intervention for the induction of type-2 diabetes and pre-diabetes remission: a feasibility study utilising a type 2 hybrid design

Objectives

The aims of this feasibility study were to (1) examine the implementation of a community-based health advocate (CHA) training programme to develop the clinical skills needed to support a diabetes remission protocol based on a low-calorie diet (LCD) and (2) investigate if participant weight loss can be achieved and diabetes remission induced under these conditions.

Methods

This tripartite study followed a type 2 implementation-effectiveness design. Three faith-based organisations (FBOs) were purposively selected as study sites. Implementation outcomes were guided by the Consolidated Framework for Implementation Research. During the pre-implementation phase, site ‘readiness’ to facilitate the intervention was determined from a site visit and an interview with the FBOs’ leadership. During the implementation phase, congregants could volunteer for the 10-week CHA training which included practical exercises in weight, glucose and blood pressure (BP) measurement, and a summative practical assessment. Acceptability and implementation effectiveness were assessed via survey. During the intervention phase, other congregants and community members with T2DM or pre-diabetes and overweight were invited to participate in the 12-week LCD. Anti-diabetic medication was discontinued on day 1 of the intervention. Clinical effectiveness was determined from the change in weight, fasting blood glucose (FBG) and BP which were monitored weekly at the FBO by the CHA. HbA1C was performed at weeks 1 and 12.

Results

The FBOs were found to be ready as determined by their adequate resources and engagement in health-related matters. Twenty-nine CHAs completed the training; all attained a passing grade at ≥1 clinical station, indicating implementation effectiveness. CHA feedback indicated that the programme structure was acceptable and provided sufficient access to intervention-related material. Thirty-one persons participated in the LCD (11 T2DM:20 pre-diabetes). Mean (95%CI) weight loss was 6.0 kg (3.7 to 8.2), 7.9 kg in males vs 5.7 kg in females; A1C (%) decreased from 6.6 to 6.1, with a greater reduction in those with T2DM when compared to pre-diabetes. FBG decreased from 6.4 to 6.0mmol/L. T2DM remission rates were 60% and 90% by A1C<6.5% and FBG<7mmol/L respectively. Pre-diabetes remission was 18% and 40% by A1C<5.7% and FBG<5.6 respectively.

Conclusion

Implementation of a community-based diabetes remission protocol is both feasible and clinically effective. Its sustainability is to be determined. Adaptability to other disorders or other settings should be investigated.

Trial registration

NCT03536377 registered on 24 May 2018.

Facilitators to referrals to CDC's National Diabetes Prevention Program in primary care practices and pharmacies: DocStyles 2016-2017

Despite evidence of the effectiveness of behavioral change interventions for type 2 diabetes prevention, health care provider referrals to organizations offering the National Diabetes Prevention Program (National DPP) lifestyle change program (LCP) remain suboptimal. This study examined facilitators of LCP referrals among primary care providers and pharmacists (providers). We analyzed data on 1956 providers from 2016 to 2017 DocStyles web-based surveys. Pearson chi-square or Fisher's exact tests were used for bivariate associations between facilitators, provider characteristics, and their self-reported referral and bi-directional referral (where they received patient status updates back from the LCPs) to an LCP. Multiple logistic regressions were used to estimate the effects of facilitators to referral practices, controlling for providers' characteristics. Geocoding was done at the street level for in-person, public LCP class locations and at the zip code level for survey respondents to create a density measure for LCP availability within 10 miles. Overall, 21% of providers referred their patients with prediabetes to LCPs, and 6.4% engaged in bi-directional referral. Provider practices that established clinical-community linkages (CCLs) with LCPs (AOR = 4.88), used electronic health records (EHRs) to manage patients (AOR = 2.94), or practiced within 10 miles of an in-person, public LCP class location (AOR = 1.49) were more likely to refer. Establishing CCLs with LCPs (AOR = 8.59) and using EHRs (AOR = 1.86) were also facilitators of bi-directional referral. This study highlights the importance of establishing CCLs between provider settings and organizations offering the National DPP LCP, increasing use of EHRs to manage patients, and increasing availability of in-person LCP class locations near provider practices.

In vitro anti-diabetic activity, bioactive constituents, and molecular modeling studies with sulfonylurea receptor1 for insulin secretagogue activity of seed extract of Syzygium cumini (L.)

Introduction: Syzygium cumini (L.) has been known to be used for diabetes treatment in traditional Indian and Chinese medicine. The present study focuses on the evaluation for glucose uptake and insulin release in vitro and characterization of phytoconstituents of the hydro-ethanolic extract of Syzygium cumini seed (SCE). Further, this report covers the molecular docking findings of the bioactive constituents on the sulfonylurea receptor 1 (SUR1). Methods: A glucose uptake assay of SCE was used to estimate the glucose uptake from the cell lysates and the cell culture supernatants using insulin as the reference standard. Insulin release activity of SCE from RIN-5F cells was estimated using enzyme-linked immunosorbent assay. The phytoconstituents were isolated by preparative HPLC and characterized by mass spectrometry, nuclear magnetic resonance (NMR) and infrared spectroscopy. The molecular docking of bioactive constituents was carried on repaglinide bound to the SUR1. Results: In the presence of SCE, the glucose uptake through L6 myoblast cells increased by 19.91% at 40 µg/mL in comparison with the vehicle control (P < 0.05). Moreover, SCE showed 2.8-fold enhancement of insulin release at 40 µg/mL as compared to the vehicle controls (P < 0.05). Gallic and ellagic acids were the key phytoconstituents isolated from SCE. Molecular docking studies revealed that both gallic acid and ellagic acid bind to the repaglinide binding pocket of SUR1. Conclusion: SCE increases the release of insulin and enhances glucose uptake in vitro, which may contribute to its in vivo anti-diabetic activity. The presence of ellagic acid and gallic acid in SCE may be the cause for enhanced insulin release observed with SCE following binding to SUR1.

Association of a Self-Paid Medically Supervised Weight Management Program with Reversal of Obesity-Associated Impaired Fasting Glucose

Aims: The progression of prediabetes to T2DM can be delayed through diet modification and weight management. However, the intensive lifestyle program is often not covered by medical insurance. This retrospective analysis evaluates the association of a patient self-paid weight management program on an improvement of blood sugar in overweight and obese patients with impaired fasting glucose (IFG). Methods: The medical records of 4634 patients who participated in the self-pay UCLA Weight Management Program were reviewed and 2572 patients met the criteria for this retrospective analysis to examine whether this program was associated with the reversal of IFG over 3 months among 1396 patients with normal fasting glucose (NFG) and 1176 with IFG. Results: The patients with IFG lost comparable amounts of weight (10.5 ± 1.3 kg) at three months, as did the subjects with NFG (10.1 ± 1.3 kg). Fasting blood glucose in the IFG group decreased from 108.49 ± 6.4 to 101.8 ± 9.41 mg/dL (p < 0.0001) after three months. There were also significant reductions in triglycerides, and both systolic and diastolic blood pressure in both groups in association with weight loss. Conclusion: Our medically supervised self-pay multidisciplinary weight management program was associated with reduced fasting blood glucose levels in patients with IFG over three months with comparable weight loss to patients with NFG.

Motivation and Problem Solving Versus Mobile 360° Videos to Promote Enrollment in the National Diabetes Prevention Program's Lifestyle Change Program Among People With Prediabetes: Protocol for a Randomized Trial

Background

More than 88 million Americans are at risk of developing type 2 diabetes mellitus (T2DM). The National Diabetes Prevention Program’s Lifestyle Change Program (DPP LCP) has been shown to be effective in reducing the risk of progressing from prediabetes to T2DM. However, most individuals who could benefit from the program do not enroll.

Objective

The aim of this trial is to test the real-world efficacy of 3 mobile phone–based approaches to increasing enrollment in the DPP LCP including a best-practice condition and 2 novel approaches.

Methods

We will conduct a 3-armed randomized clinical trial comparing enrollment and 1-month engagement in the DPP LCP among adults with prediabetes from 2 health care settings. Participants in the best-practice condition will receive SMS-based notifications that they have prediabetes and a link to a website that explains prediabetes, T2DM, and the DPP LCP. This will be followed by a single question survey, “Would you like the DPP LCP to call you to enroll?” Participants in the 2 intervention arms will receive the same best-practice intervention plus either 2 mobile 360° videos or up to 5 brief phone calls from a health coach trained in a motivational coaching approach known as Motivation and Problem Solving (MAPS). We will collect measures of diabetes-related knowledge, beliefs in the controllability of risk for T2DM, risk perceptions for T2DM, and self-efficacy for lifestyle change pre-intervention and 4 weeks later. The primary outcomes of the study are enrollment in the DPP LCP and 4-week engagement in the DPP LCP. In addition, data on the person-hours needed to deliver the interventions as well as participant feedback about the interventions and their acceptability will be collected. Our primary hypotheses are that the 2 novel interventions will lead to higher enrollment and engagement in the DPP LCP than the best-practice intervention. Secondary hypotheses concern the mechanisms of action of the 2 intervention arms: (1) whether changes in risk perception are associated with program enrollment among participants in the mobile 360° video group and (2) whether changes in self-efficacy for lifestyle change are associated with program enrollment among participants in the MAPS coaching group. Finally, exploratory analyses will examine the cost effectiveness and acceptability of the interventions.

Results

The project was funded in September 2020; enrollment began in February 2021 and is expected to continue through July 2022.

Conclusions

We are conducting a test of 2 novel, scalable, mobile phone–based interventions to increase enrollment in the DPP LCP. If effective, they have tremendous potential to be scaled up to help prevent T2DM nationwide.

Trial Registration

ClinicalTrials.gov NCT04746781; https://clinicaltrials.gov/ct2/show/NCT04746781

International Registered Report Identifier (IRRID)

DERR1-10.2196/28884

New Sub-Phenotyping of Subjects at High Risk of Type 2 Diabetes: What Are the Potential Clinical Implications?

Prediabetes is defined as a condition of abnormal glucose metabolism, characterised by plasma glucose above normal range but not as high as required for the diagnosis of diabetes mellitus (DM). It represents a heterogeneous entity of intermediate glucose metabolism, including impaired fasting glucose, impaired glucose tolerance, and borderline glycated haemoglobin. Prediabetes is being increasingly recognised as an important metabolic state not only predisposing to a higher probability of future progression to DM, but also to an increased risk of different micro- and macrovascular complications. The recently proposed sub-phenotyping of individuals at increased risk of type 2 DM, which distinguishes six different clusters, offers the opportunity for the improvement in screening, prevention, and treatment algorithms. Such progress should also enable more efficient and cost-effective strategies aimed at decreasing the disease burden associated with prediabetes.

Prediabetes, undiagnosed diabetes and diabetes risk in Italy in 2017-2018: results from the first National screening campaign in community pharmacies

BACKGROUND

Effective policies for diabetes prevention remain urgent. We conducted a mass screening campaign in Italy to identify subjects potentially having undiagnosed diabetes, prediabetes or at diabetes risk.

METHODS

This cohort study was conducted in community pharmacies joining the unitary National federation of pharmacy holders (Federfarma) and participating in the 7-day screening campaign 'DiaDay' in 2017-2018. Capillary blood glucose levels and the risk of developing diabetes in 10 years (through the Finnish Diabetes Risk Score) were assessed.

RESULTS

145 651 volunteers aged ≥20 years without known diabetes were screened at 5671 community pharmacies in 2017 and 116 097 at 5112 in 2018. Overall, 3.6% had glucose values suggestive of undiagnosed diabetes; under fasting conditions (N = 94 076), 39.9% and 16.4% had values suggestive of prediabetes by the American Diabetes Association and the World Health Organization criteria, respectively. Of those without diabetes (N = 252 440), 19.2% had scores compatible with a high risk (1:3) and 2.7% with a very high risk (1:2) of developing the disease; in the prediabetes group, the risk rose with higher impaired fasting glucose values.

CONCLUSIONS

DiaDay, the first National screening campaign, highlights the need to screen the population and the key role of the pharmacist both in screening activities and education promotion.

Longitudinal effects of a nationwide lifestyle intervention program on cardiometabolic outcomes in Japan: An observational cohort study

The Japanese government launched a nationwide health screening and lifestyle intervention program in 2008 to prevent and reduce metabolic syndrome in at-risk individuals. This study examined the longitudinal effects of the program's lifestyle interventions on metabolic outcomes using health insurance data from one prefecture. The study population comprised 16,317 individuals aged 40-74 years who met the recommendation criteria for the interventions between 2009 and 2015. Participants were categorized into an overall intervention group (comprising a single-session motivational intervention group and a multi-session intensive intervention group) and a non-intervention group. We evaluated the interventions' effects on the initiation of medications for metabolic disorders (hyperlipidemia, hypertension, and hyperglycemia) and metabolic syndrome incidence for 6 years using discrete hazard models that adjusted for sex, age, health screening measurements, and smoking habit. The longitudinal effects on health screening measurements were also evaluated using regression models for repeated measures. The adjusted hazard ratios (aHRs) (95% confidence interval [CI]) for initiation of medications were 0.83 (0.77-0.90), 0.77 (0.71-0.84), and 0.66 (0.57-0.77) for overall, motivational, and intensive interventions, respectively. The aHRs (95%CI) for metabolic syndrome incidence were 0.84 (0.75-0.94), 0.80 (0.71-0.91), and 0.67 (0.51-0.89) for overall, motivational, and intensive interventions, respectively. The interventions reduced body mass index and waist circumference, but had modest effects on blood lipids, blood glucose, and hemoglobin A1c levels; blood pressure was unaffected. These interventions represent an effective strategy to prevent the progression of preclinical metabolic syndrome, but further studies are needed to evaluate their long-term preventive effects on cardiovascular disease and diabetes.

Mobile Virtual reality vs. Mobile 360 Video to Promote Enrollment in the Diabetes Prevention Program Amongst Hispanic Adults (Preprint)

Background

Hispanic adults are at increased risk of developing type 2 diabetes. The Diabetes Prevention Program (DPP) reduces the risk of developing type 2 diabetes; however, the rate of enrollment is very low.

Objective

The goal of this pilot project was to determine whether presenting brief motivational mobile videos in virtual reality vs 360° video has differential effects on risk perceptions and enrollment in the DPP.

Methods

Adults with prediabetes were recruited at a clinic serving a low-income Hispanic community. After consenting, the participants completed a baseline survey that collected information about demographics and risk perceptions. All participants then viewed 2 videos. Per random assignment, the videos were presented either using the participant’s smartphone alone (360° video) or were viewed with their smartphone in a virtual reality (VR) cardboard headset. Two weeks later, a follow-up survey collected measures of enrollment in the DPP, risk perceptions, health literacy, the importance of contextual factors related to the decision of whether to enroll in the DPP (eg, distance to the class), and qualitative feedback on the interventions. We used logistic regression to determine whether enrollment in the DPP differed by intervention mode, while accounting for health literacy and contextual factors related to the DPP. We used unpaired t tests to examine differences in change in risk perceptions between groups. Paired t tests were used to examine within-subject changes in risk perceptions.

Results

A total of 116 participants provided complete data. Most participants were middle-aged (mean age 44.6 years; SD 11.9) Hispanic (114/116), female (79/116), with low health literacy (mean score 12.3/20; SD 3.4). Enrollment in the DPP was 44/116 (37.9%) overall but did not differ by group (odds ratio for enrolling in VR group 1.78, 95% CI 0.75-4.3; P=.19). Individuals who rated the distance needed to travel to attend the DPP as more important were less likely to enroll in the DPP (odds ratio 0.56, 95% CI 0.33-0.92; P=.03). Risk perceptions did not differ by group (mean change in 360° video group -0.07, mean change in VR group 0.03, t=0.6, P=.54) and did not change within subjects (mean 0.02, t=0.21, P=.83). Participant feedback suggested that the videos are emotionally engaging and educational.

Conclusions

The videos presented in 360° video and mobile VR had equal efficacy in promoting enrollment in the DPP. Future work to rigorously evaluate this intervention, its mechanism of action, and potential moderators of the efficacy are discussed.

New model of integrated care for uncontrolled type 2 diabetes in a retrospective, underserved adult population in the USA: a study protocol for an effectiveness and cost-effectiveness analysis

INTRODUCTION

Type 2 diabetes prevalence is increasing in the USA, especially in underserved populations. Patient outcomes can be improved by providing access to specialty care within Federally Qualified Health Centers, possibly improving the cost-effectiveness of diabetes care.

METHODS AND ANALYSIS

A new model of diabetes care based on multidisciplinary teams of clinical fellows, supported by an endocrinologist for underserved adult populations, is presented. The study uses a retrospective, non-randomised cohort of patients with diabetes who visited the community clinic between 1 January 2012 and 31 December 2018. A quasi-experimental method to analyse the causal evidence of the effect of the new model is presented. Discontinuity regression is used to compare two interventions, the intervention by a Clinical Fellow Endocrinology Programme and usual care by a primary care physician. Patients are referred to the Clinical Fellow Endocrinology Programme in case of uncontrolled diabetes (glycated haemoglobin (HbA1c)≥9%). The regression discontinuity design allows the construction of a treatment group for patients with an HbA1c equal or above the threshold in comparison with a control group for patients with an HbA1c below the threshold. The patient outcomes and cost-effectiveness of the new model are analysed. Regression models will be used to assess the differences between treatment and control groups.

ETHICS AND DISSEMINATION

Quantitative patient data are received by the study team in a de-identified format for analysis via an institutional review board-approved protocol. The quantitative study has been approved by the Houston Methodist Research Institute Institutional Review Board, Houston, Texas, USA. Anticipated results will not only provide evidence about the impact of patient outcomes in underserved diabetic populations, but also give an idea of the cost-effectiveness of the new model and whether or not cost savings can be attained for patients, third-party payers and society. The results will help set up evidence-based policy guidelines in diabetes care. Results will be disseminated through papers, conferences and public health/policy fora.

Pancreatic necrosis and severity are independent risk factors for pancreatic endocrine insufficiency after acute pancreatitis: A long-term follow-up study

BACKGROUND

Pancreatic endocrine insufficiency after acute pancreatitis (AP) has drawn increasing attention in recent years.

AIM

To assess the impact of risk factors on the development of pancreatic endocrine insufficiency after AP.

METHODS

This retrospective observational long-term follow-up study was conducted in a tertiary hospital. Endocrine function was evaluated by the oral glucose tolerance test. The data, including age, sex, body mass index, APACHE II score, history of smoking and drinking, organ failure, pancreatic necrosis, debridement of necrosis (minimally invasive and/or open surgery), and time interval, were collected from the record database.

RESULTS

A total of 361 patients were included in the study from January 1, 2012 to December 30, 2018. A total of 150 (41.6%) patients were diagnosed with dysglycemia (including diabetes mellitus and impaired glucose tolerance), while 211 (58.4%) patients had normal endocrine function. The time intervals (mo) of the above two groups were 18.73 ± 19.10 mo and 31.53 ± 27.27 mo, respectively (P = 0.001). The morbidity rates of pancreatic endocrine insufficiency were 46.7%, 28.0%, and 25.3%, respectively, in the groups with different follow-up times. The risk factors for pancreatic endocrine insufficiency after AP were severity (odds ratio [OR] = 3.489; 95% confidence interval [CI]: 1.501-8.111; P = 0.004) and pancreatic necrosis (OR = 4.152; 95%CI: 2.580-6.684; P = 0.001).

CONCLUSION

Pancreatic necrosis and severity are independent risk factors for pancreatic endocrine insufficiency after AP. The area of pancreatic necrosis can affect pancreatic endocrine function.

Prevalence of diabetes among patients and the assessment of the awareness of the bidirectional relation between diabetes and periodontal disease

AIM

To assess the extent of self-awareness and knowledge of diabetes and its association with periodontal disease among patients seeking dental care.

MATERIALS AND METHODS

Data were collected in the form of a questionnaire from 150 consecutive adult patients from the outpatient department of Saveetha Dental College in Chennai, India. Complying patients were tested for diabetes mellitus by checking their random blood sugar and the results were correlated with the questionnaire and their periodontal findings. The findings were interpreted to examine the relationship between self-awareness and clinically diagnosed periodontitis.

RESULTS

One hundred fifty patients participated in the questionnaire and 70% were unaware of diabetes causing periodontal disease. A total of 47.3% of patients were also unwilling to get themselves tested for diabetes by their dentists as nearly 73.3% believed that they did not have diabetes. As a result, out of 150 patients, 41 consented to random blood sugar but only 23 patients followed up. Among these 23, 14 believed they were diabetic but only 12 of those 14 were proven to be so. Additionally, 20 patients were diagnosed with either localized or generalized chronic periodontitis while the remaining 3 patients had gingivitis. All 12 patients diagnosed with diabetes were affected by periodontitis as well.

CONCLUSIONS

Patients are generally apprehensive and misinformed regarding the influence of periodontitis and diabetes between both diseases and must be educated by both the medical and dental practitioners regarding the implications of these chronic inflammatory diseases.

Select Group of Patients Might Benefit From Prophylactic Central Lymph Node Dissection in Clinically Node Negative Papillary Thyroid Microcarcinoma

Objective

The aim of this study was to identify predictive factors for pathologic central lymph node metastasis (CLNM) in patients with clinically negative CLNM (cN0) papillary thyroid microcarcinoma (PTMC) to suggest a specific group of cN0 PTMC patients who benefit from prophylactic central lymph node dissection (CLND).

Background

PTMC have excellent prognosis, however, 8% have recurrent disease. Recurrence is associated with regional lymph node metastasis. It has been reported that pathologic CLNM is found in 30 to 65% of cN0 PTMC patients. However, prophylactic CLND for cN0 PTMC remains controversial.

Methods

We reviewed the records of papillary thyroid carcinoma patients with a tumor size on preoperative ultrasonography (US) of ≤10 mm and negative CLNM on preoperative physical examination, US, and positron emission tomography/computed tomography (PET/CT), who underwent total thyroidectomy or thyroid lobectomy with prophylactic CLND between April 2010 and February 2013. In total, 163 patients were included. We evaluated the relationship between preoperatively assessable factors including age, gender, body mass index, preoperative metformin use, primary tumor size through preoperative US, the maximum standardized uptake value (SUVmax) of the primary tumor through preoperative PET/CT, and the bilaterality of the primary tumor and pathologic CLNM.

Results

A SUVmax of the primary tumor of &gt;3 was an independent preoperatively assessable factor predictive of pathologic CLNM in cN0 PTMC patients.

Conclusions

Prophylactic CLND might be considered in cN0 PTMC patients with a SUVmax of the primary tumor of &gt; 3 to reduce the risks of residual CLNM and recurrence.

Scale-up of the Kerala Diabetes Prevention Program (K-DPP) in Kerala, India: implementation evaluation findings

The cluster-randomized controlled trial of the Kerala Diabetes Prevention Program (K-DPP) demonstrated some significant improvements in cardiometabolic risk factors and other outcomes. We aimed to refine and improve K-DPP for wider implementation in the Kerala state of India. The specific objectives of the scale-up program were (a) to develop a scalable program delivery model and related capacity building in Kerala and (b) to achieve significant improvements in cardiometabolic risk factors in the target population. A total of 118 key trainers of a large women’s organization trained 15,000 peer leaders in three districts of Kerala. Each of these peer leaders was required to deliver 12 monthly sessions to ~25 people, reaching an estimated total of 375,000 adults over 12 months. We evaluated the number of sessions conducted, the participation of men, and program reach. We also assessed the effectiveness of the program in a random sample of 1,200 adults before and after the intervention and performed a biochemical evaluation on a subsample of 321. Of the 15,222 peer leaders who were trained, 1,475 (9.7%) returned their evaluation forms, of which, 98% reported conducting at least 1 session, 88% ≥6 sessions, and 74% all 12 sessions. Tobacco use among men reduced from 30% to 25% (p = .02) and alcohol use from 40% to 32% (p = .001). Overall, mean waist circumference reduced from 89.5 to 87.5 cm (p &lt; .001). Although there were some study shortcomings, the approach to scale-up and its implementation was quite effective in reaching a large population in Kerala and there were also some significant improvements in key cardiometabolic risk factors following the 1 year intervention.

Lessons Learned From a Program to Reduce Diabetes Risk Among Low-Income Hispanic Women in a Community Health Clinic

BACKGROUND

The Diabetes Prevention Program (DPP) and Look AHEAD studies demonstrated that modest weight loss and increased physical activity can significantly reduce the incidence of diabetes among overweight individuals with prediabetes. However, these studies involved costly interventions, all of which are beyond the reach of most real-world settings serving high-risk, low-income populations. Our project, De Por Vida, implemented a diabetes risk-reduction intervention for Hispanic women in a Federally Qualified Health Center and assessed the program's efficacy. This report describes the methodology used to develop and implement De Por Vida, the cultural adaptations made, the community-academic partnership formed to carry out this program, and the barriers and challenges encountered through the implementation process.

METHODS

Our goal was to translate the DPP and Look AHEAD programs into an intervention to prevent diabetes and reduce diabetes complications among high-risk Hispanic women at a federally qualified health center in Hillsboro, Oregon, where more than half of clinic patients are Spanish-speaking, and nearly all live in poverty. This randomized clinical trial targeted overweight Spanish-speaking women at risk for, or diagnosed with, type 2 diabetes. We developed a 12-month behavioral diabetes risk-reduction intervention that was responsive to the cultural practices of the Hispanic population and that could be implemented in low-income clinical settings. Study planning and implementation involved close collaboration among the clinic leadership, a research team from the Kaiser Permanente Center for Health Research, and Arizona State University.

DISCUSSION

Creating a fully informed partnership between research and clinical institutions is the first step in successful cooperative research projects. The adoption of a bidirectional, rather than a top-down, approach to communication between researchers and health-care providers, and between clinic management and the clinic frontline staff, gave the research study team crucial information about barriers, constraints, and needs that clinic staff experienced in implementing the program. This allowed clinic management and front-line clinic staff to play an active role in study implementation, identifying problem areas, and collaborating in finding practical solutions.

CLINICAL TRIAL REGISTRATION

www.clinicaltrials.gov, NCT03113916.

Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health

Glycation, oxidation, nitration, and crosslinking of proteins are implicated in the pathogenic mechanisms of type 2 diabetes, cardiovascular disease, and chronic kidney disease. Related modified amino acids formed by proteolysis are excreted in urine. We quantified urinary levels of these metabolites and branched-chain amino acids (BCAAs) in healthy subjects and assessed changes in early-stage decline in metabolic, vascular, and renal health and explored their diagnostic utility for a noninvasive health screen. We recruited 200 human subjects with early-stage health decline and healthy controls. Urinary amino acid metabolites were determined by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry. Machine learning was applied to optimise and validate algorithms to discriminate between study groups for potential diagnostic utility. Urinary analyte changes were as follows: impaired metabolic health-increased N ε -carboxymethyl-lysine, glucosepane, glutamic semialdehyde, and pyrraline; impaired vascular health-increased glucosepane; and impaired renal health-increased BCAAs and decreased N ε -(γ-glutamyl)lysine. Algorithms combining subject age, BMI, and BCAAs discriminated between healthy controls and impaired metabolic, vascular, and renal health study groups with accuracy of 84%, 72%, and 90%, respectively. In 2-step analysis, algorithms combining subject age, BMI, and urinary N ε -fructosyl-lysine and valine discriminated between healthy controls and impaired health (any type), accuracy of 78%, and then between types of health impairment with accuracy of 69%-78% (cf. random selection 33%). From likelihood ratios, this provided small, moderate, and conclusive evidence of early-stage cardiovascular, metabolic, and renal disease with diagnostic odds ratios of 6 - 7, 26 - 28, and 34 - 79, respectively. We conclude that measurement of urinary glycated, oxidized, crosslinked, and branched-chain amino acids provides the basis for a noninvasive health screen for early-stage health decline in metabolic, vascular, and renal health.

Putting the National Diabetes Prevention Program to Work: Predictors of Achieving Weight-Loss Goals in an Employee Population

Introduction

Differences in eligibility criteria and intervention characteristics have limited the generalizability of findings from studies of worksite translations of the National Diabetes Prevention Program (DPP). The objective of our study was to identify factors associated with achievement of the DPP’s 5% weight-loss goal in the Vanderbilt University Medical Center (VUMC) Faculty and Staff Health and Wellness DPP from 2014 to 2017.

Methods

We analyzed data from a DPP worksite translation that adhered to national standards for program quality and intervention fidelity. We compared baseline characteristics and program metrics for participants who did and did not achieve the program’s 5% weight-loss goal, and we developed a multivariable logistic regression model to identify independent predictors of achieving this goal.

Results

Of the 165 employees enrolled in the DPP from 2014 to 2017, 43.6% (n = 72) met the 5% weight-loss goal. Mean (standard deviation) percentage weight loss for the program was 5.2% (6.0%), or 4.8 (6.0) kg. The median (interquartile range) body mass index at baseline was lower among participants who achieved the 5% weight-loss goal than among those who did not (31.6 [29.4–37.4] vs 34.7 [31.5–39.2], P = .009), and participants who achieved the goal reported more physical activity minutes per week (166.0 [135.2–223.0] min vs 128.5 [83.2–169.8] min, P < .001). Session attendance was greater for participants achieving the 5% weight-loss goal (23 [21–25]) sessions vs 18 [12–21] sessions, P < .001). In the adjusted analysis, physical activity and session attendance remained significant predictors of achieving the 5% weight-loss goal.

Conclusion

Session attendance and physical activity independently predicted achievement of the 5% weight-loss goal in this worksite translation of the DPP. Strategies designed to improve these metrics may increase DPP success rates.

Translating knowledge into action to prevent pediatric and adolescent diabesity: a meeting report

BACKGROUND

The obesity and Type 2 Diabetes Mellitus (T2DM) rates are at an all-time high globally. This diabesity epidemic is increasingly impacting children and adolescents, and there is scarce evidence of interventions with favourable long-term outcomes.

PURPOSE

In order to understand the determinants of diabesity and how to address them, multiple stakeholders were invited to a meeting to discuss current state of knowledge and to help design a program to prevent pediatric and adolescent diabesity.

PARTICIPANTS AND METHODS

The meeting was held at McMaster University on March 4th, 2015. The event involved presentations to deliver state-of-the-art knowledge about diabesity, and roundtable discussions of several domains including nutrition, physical activity, sleep, and mental health. Discussion transcripts were analyzed using NVivo.

RESULTS

Forty-nine participants took part in the workshop. They included clinical healthcare professionals, public health, Aboriginal Patient Navigator, research scientists, students, and patients with family members. A total of 628 reference counts from the roundtable discussions were coded under 20 emerging themes. Participants believed that the most important elements of the program involve the provision of knowledge and education, family involvement, patient motivation, location of program delivery, and use of surveys and questionnaires for outcome measurement.

CONCLUSION

Effective pediatric and adolescent diabesity prevention programs should be conceptualized by multidisciplinary stakeholders and embrace the complexity of diabesity with multiprong interventions. This meeting provided a framework for developing such interventions.