Diabetes Risk Reduction Research Articles

Association between the dietary index for gut microbiota and diabetes: the mediating role of phenotypic age and body mass index.

The global prevalence of diabetes is continuously rising, and the gut microbiota is closely associated with it. The Dietary Index for Gut Microbiota (DI-GM) assesses the impact of diet on the microbiota, but its association with diabetes risk remains unclear. This study aims to investigate the association between DI-GM and the risk of diabetes and analyze the mediating roles of phenotypic age and body mass index (BMI). Utilizing data from the National Health and nutrition examination survey (NHANES) 1999-2018, we included 17,444 adults aged 20 years and older. DI-GM (score range: 0-13) was calculated based on dietary recall. Diabetes was diagnosed based on laboratory results and self-reported information. Multivariable logistic regression was used to analyze the association between DI-GM and diabetes, adjusting for relevant covariates. Mediation analysis evaluated the roles of phenotypic age and BMI. After adjusting for confounders, higher DI-GM scores were significantly associated with a lower risk of diabetes (OR = 0.93, 95% CI = 0.90-0.96, p < 0.001). Compared to the group with DI-GM scores of 0-3, those with scores of 5 (OR = 0.76, 95% CI = 0.67-0.86) and ≥ 6 (OR = 0.77, 95% CI = 0.68-0.88) had significantly reduced diabetes risk. Phenotypic age and BMI accounted for 41.02 and 25.57% of the association between DI-GM and diabetes, respectively. Higher DI-GM scores are associated with a lower risk of diabetes, partially mediated through reduced phenotypic age and BMI.

Effectiveness of Mobile Health Applications for Cardiometabolic Risk Reduction in Urban and Rural India: A Pilot, Randomized Controlled Study.

mHealth technology has the potential to deliver personalized health care; however, data on cardiometabolic risk factors are limited. This study aims to assess the effectiveness of mobile health applications (apps) on cardiometabolic risk factor reduction in adults aged 25 to 60 years in urban and rural India. The study design was a pilot randomized controlled trial conducted in Tamil Nadu, India. Smartphone users (25-60 years) with basic literacy and at high risk of developing diabetes (Indian Diabetes Risk Score ≥30 and/or fasting blood sugar [FBS] 100-125 mg/dL) were recruited. Four mobile apps (two commercially available, two novel) for cardiometabolic risk reduction were evaluated. Primary outcome (weight loss) was analyzed using intention-to-treat analysis with post hoc analysis and logistic regression models adjusted for confounders. A total of 5264 participants were screened, and 610 were recruited into the study. Participants (7%) dropped out largely due to the COVID-19 pandemic. Data from 567 participants were used for the final analysis. In the intention-to-treat analysis, a significant reduction in body weight was observed in the intervention group as compared with control, more so in the urban (-2.40 kg, 95% confidence interval [CI] = [-3.10, -1.69], P < .001) compared with rural population (-1.19 kg, 95% CI = [-1.55, -0.82], P < .001). Intervention group participants showed significant reductions in body mass index, waist circumference, blood pressure, FBS, total serum cholesterol, and a positive effect on dietary and physical activity behaviors compared with controls. mHealth interventions can reduce diabetes risk, improve cardiometabolic health, and improve lifestyle behaviors in South Asian populations. The trial is registered with the Central Trials Registry, India (CTRI/2020/03/024327).

Integrated Management of Cardiovascular-Renal-Hepatic-Metabolic Syndrome: Expanding Roles of SGLT2is, GLP-1RAs, and GIP/GLP-1RAs.

Cardiovascular-Kidney-Metabolic syndrome, introduced by the American Heart Association in 2023, represents a complex and interconnected spectrum of diseases driven by shared pathophysiological mechanisms. However, this framework notably excludes the liver-an organ fundamental to metabolic regulation. Building on this concept, Cardiovascular-Renal-Hepatic-Metabolic (CRHM) syndrome incorporates the liver's pivotal role in this interconnected disease spectrum, particularly through its involvement via metabolic dysfunction-associated steatotic liver disease (MASLD). Despite the increasing prevalence of CRHM syndrome, unified management strategies remain insufficiently explored. This review addresses the following critical question: How can novel anti-diabetic agents, including sodium-glucose cotransporter-2 inhibitors (SGLT2is), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dual gastric inhibitory polypeptide (GIP)/GLP-1RA, offer an integrated approach to managing CRHM syndrome beyond the boundaries of traditional specialties? By synthesizing evidence from landmark clinical trials, we highlight the paradigm-shifting potential of these therapies. SGLT2is, such as dapagliflozin and empagliflozin, have emerged as cornerstone guideline-directed treatments for heart failure (HF) and chronic kidney disease (CKD), providing benefits that extend beyond glycemic control and are independent of diabetes status. GLP-1RAs, e.g., semaglutide, have transformed obesity management by enabling weight reductions exceeding 15% and improving outcomes in atherosclerotic cardiovascular disease (ASCVD), diabetic CKD, HF, and MASLD. Additionally, tirzepatide, a dual GIP/GLP-1RA, enables unprecedented weight loss (>20%), reduces diabetes risk by over 90%, and improves outcomes in HF with preserved ejection fraction (HFpEF), MASLD, and obstructive sleep apnea. By moving beyond the traditional organ-specific approach, we propose a unified framework that integrates these agents into holistic management strategies for CRHM syndrome. This paradigm shift moves away from fragmented, organ-centric management toward a more unified approach, fostering collaboration across specialties and marking progress in precision cardiometabolic medicine.

Vitamin E Intake Attenuated the Association Between Elevated Blood Heavy Metal (Pb, Cd, and Hg) Concentrations and Diabetes Risk in Adults Aged 18-65 Years: Findings from 2007-2018 NHANES.

The association between heavy metal exposure and diabetes is controversial and vitamin E (VE) may reduce diabetes risk. We aimed to examine the associations between blood heavy metals (BHMs) and diabetes risk and VE's role in the relationship. From the 2007-2018 NHANES, 10,721 participants aged ≥ 18 were included for multiple statistical analyses, which revealed that BHMs and dietary VE intake were negatively associated with diabetes and fasting plasma glucose (FPG). The diabetes prevalence in each quartile (Q) of heavy metal exposure increased with age, but within age Q4, it generally decreased with exposure quartiles. Moreover, BHMs were positively associated with all-cause and diabetes-related mortalities with aging, which induced an age breakpoint of 65 years for age-stratified analyses on the associations between BHMs and diabetes risk. In those aged > 65, BHMs were negatively correlated with diabetes risk and its biomarkers; however, in adults aged 18-65, the correlation was positive. At higher VE intake levels, blood lead was associated with a lower diabetes risk and all three BHMs demonstrated lower FPG levels than those at lower VE intake levels. In conclusion, consuming sufficient VE and avoiding heavy metal exposure are highly recommended to reduce diabetes risk.

Effects of Early-Program Physical Activity Lessons on Daily Active Minutes in a Digital Diabetes Prevention Program

ABSTRACT Background Reducing sedentary behavior and increasing physical activity have important benefits for type 2 diabetes prevention and risk reduction. Purpose To evaluate the immediate impact of completing educational lessons about physical activity within a fully digital diabetes prevention program (DPP) on the daily activity levels of participants with overweight or obesity and at risk for type 2 diabetes. Methods This study compared the pre-post change in daily active minutes of participants between two groups, 1. Completers, or participants who completed physical activity lessons 2 and 3 of the DPP and 2. Starters, or a propensity-matched control group who initiated the program but did not complete lessons 2 and 3 within the first month. Results We observed a significant difference in the change in daily active minutes between groups (U = 636742.5, p ≤ .0001). Completers increased their daily active minutes between baseline and the end of the first month (Mean = 7.1 minutes, SE = 0.7) while Starters decreased (Mean = –25.4 minutes; SE = 1.0). Discussion Targeted educational lessons about physical activity coupled with self-monitoring and automated coaching promoted daily physical activity among participants in a digital DPP. Translation to Health Education Practice Health educators may use digitally delivered educational lessons about physical activity to facilitate immediate changes in daily active behaviors. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI) http://portal.shapeamerica.org/trn-Webinars.

Translation and Impact of the National Diabetes Prevention Program in Two Rural Settings: Participant Outcomes, Individual Experiences, and Recommendations

Background/Objectives: The National Diabetes Prevention Program (National DPP) assists individuals with lifestyle change for type 2 diabetes risk reduction through education, skills, and support. To further understand program effectiveness, implementation research needs to consider influences on retention, effectiveness, and sustainability of the program in rural settings. The purpose of this study was to understand National DPP implementation in two rural workplace settings as well as the factors that influence program participation and outcomes. Methods: Individuals who met criteria for being at risk for developing type 2 diabetes participated in two National DPPs. The first program (Technology-Augmented DPP) occurred in 2016 with the goal of understanding the role of psychosocial factors in relation to National DPP outcomes, and quantitative data were obtained from 47 participants. Variables of interest included the Lifestyle-Health-Related Self-Concept questionnaire (HRSC), weight, and physical activity. The second program (Hybrid-Format DPP) occurred in 2022 with the goal of understanding individual participant experiences within the program by conducting a reflexive thematic analysis on data obtained during a semi-structured group interview with 3 participants. Results: In the Technology-Augmented DPP, Lifestyle-HRSC dimensions of nutrition, social support, avoiding diabetes, and problem solving were associated with weight, steps per day, and activity minutes. In the Hybrid-Format DPP, the generated themes included Frequency Matters, Rules of Engagement, Promoting Self-Efficacy, and Bridging the Intention-Behavior Gap. Conclusions: Based on this study, a focus on understanding and responding to context-specific and participant-focused National DPP implementation is the essential next step in National DPP research. Prevention programs and policies individualized to people and communities will improve participation and outcomes. The National DPP should consider how to evolve to the changing needs of at-risk individuals in rural and underserved areas.

‘I didn’t expect to be so close to being diabetic’: beliefs of prediabetes and diabetes prevention among Hispanic men at a federally qualified health center

ABSTRACT Objectives Prediabetes is disproportionately prevalent in Hispanic men in the United States. Weight management, such as through lifestyle interventions, effectively reduces diabetes risk. However, Hispanic men remain underrepresented in existing lifestyle interventions, and their preferences for engaging in preventative behaviors remain unexplored. We aimed to explore the experiences of Hispanic men being diagnosed with prediabetes and the perceived influences on engaging in preventative behaviors and lifestyle change. Design This qualitative study conveniently sampled Hispanic men with prediabetes (n = 15) from a Federally Qualified Health Center in New York City. Private semi-structured interviews were audio recorded and explored prediabetes beliefs and perceived influences on engaging in preventative lifestyle change. Transcripts were double-coded using a deductive thematic approach, which revealed 5 major themes consistent with the Health Belief Model. Results (1) Perceived Susceptibility and Severity: Despite fearing diabetes, Hispanic men are unsure about their personal risk for developing it. (2) Cues to Action: Receiving a clinical diagnosis and recognizing its potential impact on family members heightens concerns about diabetes risk. (3) Benefits of Lifestyle Change: Small, practical changes in dieting and exercising can make preventing diabetes manageable. (4) Barriers to Lifestyle Change: Restrictive environments and schedules, coupled with some cultural habits, can lead to unhealthy lifestyle choices. (5) Self-Efficacy: Lifestyle change is a matter of personal agency, but additional information can support the right changes. Conclusions Influences potentially unique to Hispanic men in this setting included references to unhealthy foods environments, overwhelming working conditions, carbohydrate-rich cultural staples, and the threat of diabetes to self-perceptions of being head-of-family. These findings provide insight into Hispanic men’s perceived barriers to engaging in preventative behaviors and motivators that can potentially facilitate their engagement in diabetes prevention.

Triglyceride to high-density lipoprotein cholesterol ratio is associated with diabetes incidence in non-obese individuals with normoglycemia: a retrospective cohort study based on individuals from East Asia.

Although several studies have explored the association between the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) and diabetes risk, most of these studies are cross-sectional and typically involve small sample sizes, limiting the ability to draw causal inferences. Additionally, there is currently a few studies specifically focusing on non-obese individuals. Consequently, we conducted a retrospective cohort study to investigate the impact of TG/HDL-c on the risk of developing diabetes among non-obese, normoglycemic individuals across East Asian countries. This secondary retrospective cohort study recruited 85,029 non-obese individuals with normal glycemic levels from East Asian countries (China and Japan). We employed Cox proportional hazards regression models, incorporating cubic splines function for smooth curve fitting and using two-piecewise Cox regression for threshold effect analysis, to evaluate the nonlinear associations between baseline TG/HDL-c ratios and diabetes risk in non-obese individuals with normoglycemia. In addition, A range of subgroup and sensitivity analyses were performed to confirm the robustness of our results. Among the individuals included, the average age was 42.14 ± 11.88 years, and 37,944 participants (44.62%) were male. After adjusting for covariates, the study revealed a significant correlation between the TG/HDL-c ratio and the risk of diabetes among non-obese individuals (HR=1.37, 95%CI: 1.22-1.54). Furthermore, a non-linear correlation was observed between the TG/HDL-c ratios and the incidence of non-obese diabetes, with an inflection point of 1.36. Under this threshold, the TG/HDL-c ratio notably boosts diabetes risk in non-obese populations, with an HR of 2.38 (95% CI: 1.57-3.59). Conversely, beyond the critical juncture, the upsurge in diabetes risk seems to level off, displaying no significant variation, with an HR of 1.18 (95% CI: 0.98-1.41). This study reveals a non-linear association between the TG/HDL-c ratios and the likelihood of diabetes in non-obese individuals from East Asia. Maintaining a ratio of TG/HDL-C below 1.36 significantly reduces diabetes risk. However, once the ratio of TG/HDL-C exceeds 1.36, reducing it does not substantially lower diabetes onset risk.

EPA and DHA inhibit LDL-induced upregulation of human adipose tissue NLRP3 inflammasome/IL-1β pathway and its association with diabetes risk factors

Elevated numbers of atherogenic lipoproteins (apoB) predict the incidence of type 2 diabetes (T2D). We reported that this may be mediated via the activation of the NLRP3 inflammasome, as low-density lipoproteins (LDL) induce interleukin-1 beta (IL-1β) secretion from human white adipose tissue (WAT) and macrophages. However, mitigating nutritional approaches remained unknown. We tested whether omega-3 eicosapentaenoic and docosahexaenoic acids (EPA and DHA) treat LDL-induced upregulation of WAT IL-1β-secretion and its relation to T2D risk factors. Twelve-week intervention with EPA and DHA (2.7 g/day, Webber Naturals) abolished baseline group-differences in WAT IL-1β-secretion between subjects with high-apoB (N = 17) and low-apoB (N = 16) separated around median plasma apoB. Post-intervention LDL failed to trigger IL-1β-secretion and inhibited it in lipopolysaccharide-stimulated WAT. Omega-3 supplementation also improved β-cell function and postprandial fat metabolism in association with higher blood EPA and mostly DHA. It also blunted the association of WAT NLRP3 and IL1B expression and IL-1β-secretion with multiple cardiometabolic risk factors including adiposity. Ex vivo, EPA and DHA inhibited WAT IL-1β-secretion in a dose-dependent manner. In conclusion, EPA and DHA treat LDL-induced upregulation of WAT NLRP3 inflammasome/IL-1β pathway and related T2D risk factors. This may aid in the prevention of T2D and related morbidities in subjects with high-apoB.Clinical Trail Registration ClinicalTrials.gov (NCT04496154): Omega-3 to Reduce Diabetes Risk in Subjects with High Number of Particles That Carry “Bad Cholesterol” in the Blood – Full Text View - ClinicalTrials.gov.

Association between dietary antioxidant levels and diabetes: a cross-sectional study.

The onset and progression of diabetes mellitus (DM) is strongly linked to oxidative stress. Previous studies have highlighted the protective effects of individual dietary antioxidants against diabetes. However, the relationship between a comprehensive combination of dietary antioxidants and diabetes has rarely been examined. Therefore, this study assessed the association between various dietary antioxidant intake levels and diabetes among US adults and further investigated potential associations using the Composite Dietary Antioxidant Index (CDAI). The study employed data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018 for cross-sectional analysis. Dietary information was obtained from two 24-h dietary recall interviews. The CDAI was calculated using intakes of six dietary antioxidants from the dietary information. Multifactorial logistic regression models were employed to investigate the association of different dietary antioxidants and CDAI with DM. The relationship between CDAI and DM was further explored using subgroup analyses and restricted cubic spline curves. A total of 7,982 subjects (mean age 47.32 ± 16.77 years; 48.50% male and 51.50% female) were included in this study. In the multivariate-adjusted single antioxidant model, vitamin C intake was significantly and negatively associated with diabetes prevalence (P for trend = 0.047), while zinc intake demonstrated a potential trend toward reduced diabetes risk (P for trend = 0.088). This association was similarly observed in the multivariate-adjusted model for the Composite Dietary Antioxidant Index (CDAI) in the female population (p = 0.046). Intake of vitamin C was negatively associated with DM prevalence. Additionally, CDAI was found to reduce the risk of DM in the female population.

Exploring metabolic syndrome and dietary quality in Iranian adults: a cross-sectional study

BackgroundMetabolic syndrome (MetS) is a cluster of cardiovascular risk factors affecting a quarter of the global population, with diet playing a significant role in its progression. The aim of this study is to compare the effectiveness of the Dietary Diabetes Risk Reduction Score (DDRRS) and the Macronutrient Quality Index (MQI) scoring systems in assessing the diet-related risk of metabolic syndrome.MethodsIn this cross-sectional study, data from 7431 individuals aged between 30 and 70 years, obtained from the Mashhad Cohort Study, were utilized to evaluate the risk factors of metabolic syndrome. A valid semi-quantitative food frequency questionnaire was used to assess participants’ dietary intake. The MQI was calculated based on carbohydrate, fat, and healthy protein components, while the DDRRS was also computed. Anthropometric measurements and blood samples were taken to determine the presence of metabolic syndrome. Logistic regression analyses were conducted to assess the association between MQI and DDRRS with metabolic syndrome and its components.ResultsAccording to the crude model, we observed lower odds of MetS in the highest quartile of DDRRS and MQI compared to the lowest quartile (P-trend < 0.001). This trend persisted in the fully adjusted models, revealing odds ratios of 0.399 (95% CI: 0.319-0.500) and 0.597 (95% CI: 0.476–0.749) for DDRRS and MQI, respectively. After controlling for all potential confounders, we observed lower odds of central obesity in the highest quartile of MQI (OR: 0.818, 95% CI: 0.676–0.989, P-trend = 0.027). Furthermore, we found that the odds of high triglyceride levels were lower in the highest quartile of DDRRS compared to the lowest quartile (OR: 0.633, 95% CI: 0.521, 0.770, P-trend < 0.001).ConclusionIn conclusion, our study indicates that greater adherence to both DDRRS and MQI is linked to a decreased risk of metabolic syndrome and its components. These findings hold significant implications for public health and the development of personalized nutrition strategies.

Effect of low vs high dietary-advanced glycation end products on insulin-sensitivity and inflammatory- markers among overweight/obese Asian-Indian adults-A randomised controlled trial

The present study investigated the effect of low vs high-dietary-Advanced Glycation End products-based diets on oral disposition index-(DIo)-a marker of islet β-cell function and cardiometabolic risks factors in 38-overweight and obese Asian Indian-adults (aged 25–45 years with body-mass-index (BMI) ≥23kg/m2) through 12-week isocaloric crossover feeding trial. Biochemical-measures included-glucose tolerance test (GTT), Insulin assay (0,30 and 120 min), lipid-profile, serum-adiponectin, serum-AGE and serum-Thiobarbituric acid reactive substances-(TBARS) assessed both at baseline and end of each intervention. Generalised linear models showed that low-dAGE diet significantly improved in oral disposition index [Least Square Mean (SE), +0.3 (0.1); p = 0.03] compared to high-dAGE diet. The low-dAGE diet also showed a significant reduction in 30-minutes plasmapost-glucose-challenge-value:(-8.1[3.8] (mg/dl) vs 3.8 [3.8] (mg/dl); p = 0.01), serum-AGEs-(-3.2 [0.2] (μg/ml) vs -0.8 [0.2] (μg/ml); p = <0.0001) compared to high-dAGE diet. In summary, low-dAGE diets exhibited improvement in the insulin-sensitivity and reduction in the inflammatory levels compared to high-dAGE diets. Hence, study first time in India revealed that low dAGE diets could be a potential strategy to reduce diabetes risk.

Searching for a Novel HLA-Cw6-Linked Cardiometabolic Endotype in Psoriatic Disease.

In recent years, a possible connection between HLA-Cw6 and a distinctive cardiometabolic (CM) profile in patients with psoriatic disease (PsD) has been proposed, although there is still little support for this. Our aim was to further investigate this possible association by studying a large population of PsD patients. For this study, three different cohorts of patients with PsD were analyzed: two with a majority of cutaneous psoriasis, pooled n: 600, and a third with only psoriatic arthritis-PsA-cases, n: 340. Potential relationships between HLA-Cw6 and the different CM risk factors (hypertension, diabetes, obesity, dyslipidemia) were analyzed using univariate and multivariate regression models, while the final net effect was assessed using fixed- or random-effects meta-analyses, as appropriate. In the PsA cohort, no association was detected between HLA-Cw6 carriership and any of the CM comorbidity factors. In psoriasis cohorts, after correcting for age, sex, disease duration, and arthritis, HLA-Cw6 carriers had a reduced diabetes risk (OR 0.49, 95%CI: 0.26-0.91, p = 0.026). This latter effect was confirmed by a fixed-effects meta-analysis of the included cohorts (pooled OR: 0.50, 95%CI: 0.27-0.90). This work demonstrates a potential protective effect of the HLA-Cw6 allele on the risk of diabetes in PsD. Our findings together with those of others seem to confirm the existence of a novel HLA-Cw6-linked cardiometabolic endotype in this disease.

Body mass index, body satisfaction, and body image discrepancy among Latinx men: Implications for Latinx-centered cancer and diabetes risk reduction interventions.

Body mass index, body satisfaction, and body image discrepancy among Latinx men: Implications for Latinx-centered cancer and diabetes risk reduction interventions.

Association between neighbourhood poverty and type 2 diabetes risk. Does moving from a high to lower poverty neighbourhood reduce diabetes risk?

ObjectivesDiabetes, a pressing global public health crisis, Diabetes, a global health crisis, is significantly impacted by social determinants, including neighborhood characteristics. This study aims to to assess whether relocation from a high poverty to lower poverty neighbourhood is associated with a reduction in T2D incidence. Methods and ResultsThis population-based, propensity-matched cohort study will use linked administrative health to examine the association between neighborhood relocation and T2D incidence. The study population will include adults (age ≥20 years) residing in high poverty urban neighborhoods between April 1st, 2002, to March 31st, 2021, as defined by an area Low-Income Measure - After Tax value of 38,730 dollars for a household size 4 based on the Canadian Census. Individuals will be followed for a new diagnosis of T2D using a validated algorithm based on hospitalization and physicians’ claims data. Propensity score matching will used to match individuals who moved from high-to-lower poverty neighbourhoods to one of two comparison groups: those moving from high-to-high poverty areas and those who remain in their original neighbourhood. Time-to-event analysis utilizing Cox proportional hazards regression with a robust variance estimator will be used to compare T2D incidence between matched groups. As a sensitivity analysis, non-propensity score modeling will be conducted using neighbourhood of residence as a time-varying covariate. The results of the aforementioned analyses will be presented during the conference. ImplicationsBy clarifying the link between neighborhood poverty and T2D incidence, the results will guide focused interventions to alleviate health inequalities in socioeconomically disadvantaged areas.

Measuring the harm of sugar sweetened beverages and internalities associated with it.

Obesity, which is partly driven by the consumption of sugar-sweetened beverages (SSBs), significantly increases the risk of type-2 diabetes and cardiovascular diseases, leading to substantial health and economic burdens. This study aims to quantify the monetary value of health harms caused by SSB consumption, along with the associated internalities, through a contingent valuation survey. The results are crucial for determining the socially optimal tax rate. We surveyed 293 residents of Wellington, New Zealand, to assess their willingness to pay (WTP) for reductions in the risks of diabetes, stroke, and heart disease associated with SSB intake. Logistic regression analysis revealed the marginal WTP for a 1% risk reduction in diabetes, stroke, and heart disease to be NZ$404.86, NZ$809.04, and NZ$1,236.84, respectively. Based on these values, we estimate the marginal harm from SSB consumption to be approximately NZ$17.37 per liter in New Zealand, with internalities amounting to NZ$6.43 per liter, suggesting an optimal tax rate of NZ$6.49 per liter. Implementing such a tax is feasible and would likely double or triple the price of SSBs in New Zealand.

Primary care providers’ perspectives on referrals to the Diabetes Prevention Programme: a qualitative comparative study across varied referral patterns

IntroductionDespite the effectiveness of Diabetes Prevention Programmes (DPP) in reducing diabetes risk, primary care provider (PCP) referrals remain low, especially among men and racial/ethnic minorities, exacerbating their under-representation in DPPs....

Comparison of Absolute and Relative Grip Strength to Predict Incidence of Diabetes Mellitus in Korea: A Prospective Cohort Study.

Background: This study aimed to investigate the association between absolute grip strength (AGS), relative grip strength (RGS) levels, and the risk of developing diabetes in middle-aged adults, utilizing longitudinal data. Methods: A total of 1935 participants, 51-81 years of age, were engaged in surveys both in 2017-2018 and during the subsequent follow-up survey in 2019-2020. Diabetes diagnosis and treatment were the criteria for categorizing individuals as "diabetic." Grip strength was measured using the JAMA-5030J1 equipment (SAEHAN, Korea), and AGS and RGS were also categorized into tertiles by gender. A proportional hazards Cox regression model was used to evaluate the relationship among AGS, RGS, and the risk of developing diabetes. Subsequently, we computed the hazard ratio (HR) and 95% confidence interval (95% CI) for the risk of developing diabetes. Results: After adjusting for various confounding variables, a significant reduction in diabetes risk was observed in the high grip strength group, adjusted for body mass index (RGS1) and body weight (RGS2), compared with the low RGS1 and RGS2 groups (RGS1 HR = 0.54, 95% CI = 0.36-0.80; RGS2 HR = 0.50, 95% CI = 0.34-0.73). However, there were no significant associations between AGS and diabetes risk. Furthermore, significant differences in the relationship among AGS, RGS levels, and the risk of developing diabetes were found across gender and insulin resistance levels. Conclusion: This study underscores the importance of RGS levels in predicting the incidence of diabetes, with AGS, RGS1, and RGS2 emerging as significant predictive indicators for assessing diabetes risk.

Loss of RREB1 reduces adipogenesis and improves insulin sensitivity in mouse and human adipocytes.

There are multiple independent genetic signals at the Ras-responsive element binding protein 1 (RREB1) locus associated with type 2 diabetes risk, fasting glucose, ectopic fat, height, and bone mineral density. We have previously shown that loss of RREB1 in pancreatic beta cells reduces insulin content and impairs islet cell development and function. However, RREB1 is a widely expressed transcription factor and the metabolic impact of RREB1 loss in vivo remains unknown. Here, we show that male and female global heterozygous knockout (Rreb1 +/-) mice have reduced body length, weight, and fat mass on high-fat diet. Rreb1+/- mice have sex- and diet-specific decreases in adipose tissue and adipocyte size; male mice on high-fat diet had larger gonadal adipocytes, while males on standard chow and females on high-fat diet had smaller, more insulin sensitive subcutaneous adipocytes. Mouse and human precursor cells lacking RREB1 have decreased adipogenic gene expression and activated transcription of genes associated with osteoblast differentiation, which was associated with Rreb1 +/- mice having increased bone mineral density in vivo. Finally, human carriers of RREB1 T2D protective alleles have smaller adipocytes, consistent with RREB1 loss-of-function reducing diabetes risk.

Exploring patterns and insights in a comprehensive diabetes dataset

Diabetes, a pressing global health concern, imposes significant economic and healthcare burdens on millions worldwide. Understanding the multifaceted factors contributing to diabetes is pivotal for effective prevention strategies. In this study, we leverage a comprehensive dataset (952 instances, 17 predictor variables) and employ a multifaceted statistical approach to explore the intricate interplay among stress levels, blood pressure (BP), body mass index (BMI), age, sleep quality, and physical activity in relation to diabetes, with a focus on classification and predictive implications. Our research begins by establishing fundamental relationships between discrete variables using crosstabs and chi-square tests. We uncover close associations between stress levels and BP, heightened diabetes risk with increased BMI values, and the influence of age on sleep quality. Subsequent analysis, based on descriptive data, reveals a robust correlation between physical activity and stress levels, with the paradoxical observation that excessive exercise may increase stress levels. Factor analysis further elucidates the pivotal roles of sound sleep and regular exercise in diabetes prevention, supported by asymptotic significance levels below 0.05. To culminate our study, we construct a logistic regression model with an impressive 89.3% accuracy rate for predicting diabetes risk. Notably, age, family history of diabetes, and regular medication usage emerge as the most influential factors, with regular medication demonstrating significant potential for reducing diabetes risk. Our research underscores the intricate web of factors shaping individual health and offers valuable insights for a comprehensive understanding of health and well-being in the context of diabetes prevention. Moreover, it highlights the importance of considering multiple factors in health-related research. Future research could delve into the long-term effects of interventions targeting the identified risk factors, explore the impact of socio-economic factors on diabetes risk, and investigate the potential role of emerging technologies in personalized diabetes prevention strategies.