Prediabetes and lifestyle modification: time to prevent a preventable disease

Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults

Over a third of adults in the United States have prediabetes, and many of those with prediabetes will progress to type 2 diabetes within 3-5 years. Health insurance status may factor into a proper diagnosis of prediabetes and diabetes. This study sought to determine the associations between health insurance and undiagnosed prediabetes and diabetes in a national sample of American adults. Publicly available data from 13,029 adults aged 18-64 years from the 2005-2016 waves of the National Health and Nutrition Examination Survey were analyzed. Health insurance type (Medicaid, Private, Other, None) was self-reported. Prediabetes and diabetes status were assessed with measures of self-report, glycohemoglobin, fasting plasma glucose, and two-hour glucose. Covariate-adjusted logistic models were used for the analyses. Overall, 5976 (45.8%) participants had undiagnosed prediabetes, while 897 (6.8%) had undiagnosed diabetes. Having health insurance was associated with decreased odds ratios for undiagnosed prediabetes: 0.87 (95% confidence interval (CI: 0.79, 0.95)) for private insurance, 0.84 (CI: 0.73, 0.95) for other insurance, and 0.78 (CI: 0.67, 0.90) for Medicaid. Moreover, having private health insurance was associated with 0.82 (CI: 0.67, 0.99) decreased odds for undiagnosed diabetes. Health insurance coverage and screening opportunities for uninsured individuals may reduce prediabetes and diabetes misclassifications.

Emerging Pharmacological Targets for the Treatment of Nonalcoholic Fatty Liver Disease, Insulin Resistance, and Type 2 Diabetes

Type 2 diabetes (T2D) is characterized by persistent hyperglycemia despite hyperinsulinemia, affects more than 400 million people worldwide, and is a major cause of morbidity and mortality. Insulin resistance, of which ectopic lipid accumulation in the liver [nonalcoholic fatty liver disease (NAFLD)] and skeletal muscle is the root cause, plays a major role in the development of T2D. Although lifestyle interventions and weight loss are highly effective at reversing NAFLD and T2D, weight loss is difficult to sustain, and newer approaches aimed at treating the root cause of T2D are urgently needed. In this review, we highlight emerging pharmacological strategies aimed at improving insulin sensitivity and T2D by altering hepatic energy balance or inhibiting key enzymes involved in hepatic lipid synthesis. We also summarize recent research suggesting that liver-targeted mitochondrial uncoupling may be an attractive therapeutic approach to treat NAFLD, nonalcoholic steatohepatitis, and T2D.

Oral Azelaic Acid Ester Decreases Markers of Insulin Resistance in Overweight Human Male Subjects

BACKGROUND/AIM

Insulin resistance (IR) is linked to increased risk of cardiovascular disease and cancer. We examined safety and efficacy of the natural product diethyl azelate (DEA) in overweight males with a varying degree of IR.

PATIENTS AND METHODS

Seventeen subjects [age 18-42, hemoglobin A1c (A1c) of 5.2-6.2%] received orally 1 mg/kg DEA daily for 21 days. Blood plasma glucose, insulin and lipid levels were assessed before and after treatment.

RESULTS

DEA was well tolerated without hypoglycemia or adverse effects except transient diarrhea (n=1). DEA significantly reduced fasting glucose by 6.06 mg/dl (n=8) and insulin by 37.8% (n=8) in subjects with IR and/or A1c ≥5.6%. Furthermore, it improved cholesterol/HDL, LDL/HDL, and non-cholesterol HDL/HDL by 5.4, 6.5, and 6.6%, respectively in all subjects, and by 8.0, 9.8, and 9.8%, respectively in 9 subjects with A1c ≥5.6%.

CONCLUSION

DEA efficacy correlates with the degree of IR. DEA holds promise as a novel treatment for the management of IR.

How patients make sense of a diabetes diagnosis: An application of Weick's model of organizing

AIMS

To identify communication cycles patients use to make sense of a diabetes diagnosis and barriers patients encounter in their sensemaking process.

METHODS

Researchers conducted interviews with 33 participants with type 2 diabetes mellitus or prediabetes at medical centers in Georgia and Nevada. A thematic analysis using the constant comparative method identified communication cycles.

RESULTS

Patients reported engaging three communication cycles to make sense of the diagnosis: (1) interacting with healthcare clinicians; (2) seeking information online; and (3) taking a nutrition/diabetes management class. Patients reported system-level barriers that impact sensemaking: (1) lack of consistent or routine care; and (2) lack of access to resources.

CONCLUSION

Results here reinforce the theoretical proposition that receiving a diagnosis is an equivocal process that requires patients to make sense of new information through communication cycles. Patients in this sample repeatedly described communication cycles to interpret this new information rather than relying on assembly rules. Clinicians can promote patient understanding of diabetes and self-management by taking time to explain the diagnosis, maintaining consistent care, providing guidance to online sources, and ensuring patients have access to diabetes education.

Insights in Public Health: Development, Implementation, and Evaluation of the Prevent Diabetes, Hawai'i Campaign

The Prevent Diabetes, Hawai'i campaign aimed to increase awareness of prediabetes by encouraging adults to take a Diabetes Risk Test and share the results with their doctors or healthcare providers. The campaign was developed based on social marketing principles, and focus groups were used to inform the marketing mix. Television, radio, digital, and print advertisements featured local actor and comedian Frank De Lima, and a website with an online Diabetes Risk Test and resources for patients and providers were promoted in all advertisements. From March 2017 to November 2019, more than 55,000 Hawai'i residents visited the campaign website. Campaign outcomes were assessed through state-added questions to the 2017 Behavioral Risk Factor Surveillance System. Overall, 35.0% of adults said that they remembered seeing or hearing an advertisement featuring Frank De Lima and/or the Prevent Diabetes, Hawai'i message. Five percent of respondents reported taking an online or paper version of the Diabetes Risk Test in the past 12 months, and an additional 19.7% said that they planned to take it. Among those who reported taking the Diabetes Risk Test, 60.2% said they had already spoken to their doctor or other healthcare provider about the test results or risk for type 2 diabetes. The State Department of Health will continue efforts to increase awareness of type 2 diabetes and prediabetes, reach priority populations most at risk, and expand availability of evidence-based lifestyle change programs.

Circulating miR-103 family as potential biomarkers for type 2 diabetes through targeting CAV-1 and SFRP4

AIMS

MicroRNA-103 (miR-103) family plays important roles in regulating glucose homeostasis in type 2 diabetes mellitus (DM2). However, the underlying mechanisms remain poorly characterized. The objective of this study was to test the hypothesis that circulating miR-103a and miR-103b, which regulate CAV-1 and SFRP4, respectively, are novel biomarkers for diagnosis of DM2.

METHODS

We determined the predictive potential of circulating miR-103a and miR-103b in pre-DM subjects (pre-DM), noncomplicated diabetic subjects, and normal glucose-tolerance individuals (control) using bioinformatic analysis, qRT-PCR, luciferase assays, and ELISA assays.

RESULTS

We found that both miR-103a and miR-103b had high complementarity and conservation, modulated reporter gene expression through seed sequences in the 3'UTRs of CAV-1 and SFRP4 mRNA, and negatively regulated their mRNA and protein levels, respectively. We also found that increased miR-103a and decreased miR-103a in plasma were significantly and negatively correlated with reduced CAV-1 levels and elevated SFRP4 levels in pre-DM and DM2, respectively, and were significantly associated with glucose metabolism, HbA1c levels, and other DM2 risk factors for progression from a normal individual to one with pre-DM. Furthermore, we demonstrated that the reciprocal changes in circulating miR-103a and miR-103b not only provided high sensitivity and specificity to differentiate the pre-DM population but also acted as biomarkers for predicting DM2 with high diagnostic value.

CONCLUSIONS

These findings suggest that circulating miR-103a and miR-103b may serve as novel biomarkers for diagnosis of DM2, providing novel insight into the mechanisms underlying pre-DM.

Frequency of impaired fasting glucose in first degree relatives of Type-II diabetic patients and its association with Body Mass Index

Objectives:

To determine the frequency of impaired fasting glucose in first degree relatives of people with Type-II diabetes and its association with BMI.

Methods:

This cross-sectional study was conducted in Diabetic clinic of Shaikh Zayed Hospital, Lahore from July to December 2017. Individuals aged ≥35 years, first degree relatives of people with Type-II diabetes, were selected and their fasting blood glucose levels were checked twice a week apart. Study participants were divided into 3 groups. Group-I were those with normal fasting blood glucose (FBS: <100mg/dl), Group-II were those with impaired fasting glucose (100-125mg/dl), considered as high risk and Group-III included those who turned out to be having frank diabetes (FBS: ≥126mg/dl). Exclusion criteria were known diabetes and pregnancy. Proportions of impaired fasting glucose levels versus BMI were compared using Chi-square test. Significance was considered at P <0.001.

Results:

A total of hundred subjects were included in the study with the mean age of 44.27 years. Sixty percent participants had normal FBS, 31% showed impaired FBS and 09% had frank diabetes (P <0.001). Significant association was found between impaired fasting glucose and BMI, as with increasing BMI the frequency of impaired fasting glucose increases.

Conclusion:

First-degree relatives of people with Type-II diabetes showed higher frequency of impaired fasting glucose and obesity was an important risk factor.

Prevalence and factors associated with prediabetes and diabetes in fishing communities in penang, Malaysia: A cross-sectional study

Background

Diabetes is a metabolic disorder, characterized by hyperglycemic state of the body. A silent killer, which can take the lives of victims if undiagnosed at the earliest stage. Prediabetes has become an important health concern across countries due to its huge potential for the development of diabetes and other complications. The objectives of this study were to determine the prevalence of prediabetes and diabetes and its associated factors among rural fishing communities in Penang, Malaysia.

Methods

A cross-sectional study was conducted among fishing communities in Southwest District of Penang, Malaysia from August to November 2017. Blood sample (finger prick test) and physical examination were performed on sample of 168 participants consented in this study. Pre-validated Malay versions of International Physical Activity 7 (IPAQ-7) and Perceived Stress Scale (PSS) questionnaires were used to assess the level of physical activity and stress levels of the participants. Multinomial logistic regression models were fitted to identify factors associated with prediabetes and diabetes.

Results

The prevalence of diabetes and prediabetes were 19.6% (95% CI: 14.3, 26.4) and 10.12% (95% CI: 6.4, 15.7) respectively. The median physical activity (interquartile range) in MET-minutes per week for those with diabetes (1071.0 (2120.0)) and prediabetes (1314.0 (1710.0)) was generally lower as compared to non-diabetes. Majority reported moderate stress (57.3%) from PSS system. Abdominal obesity, family history of diabetes and being hypertensive were significant factors associated with diabetes; while older age, bigger waist circumference and self-perceived poor routine diet were factors associated with prediabetes.

Conclusions

The screening for prediabetes in this population gives the opportunity to implement lifestyle interventions at the earliest possible, which could prevent the development of diabetes. The identification of diabetic individuals provides an opportunity to conduct health promotion and education to ensure good metabolic control and hence reduce the risks of complications.

Targeted Clinical Metabolite Profiling Platform for the Stratification of Diabetic Patients

Several small molecule biomarkers have been reported in the literature for prediction and diagnosis of (pre)diabetes, its co-morbidities, and complications. Here, we report the development and validation of a novel, quantitative method for the determination of a selected panel of 34 metabolite biomarkers from human plasma. We selected a panel of metabolites indicative of various clinically-relevant pathogenic stages of diabetes. We combined these candidate biomarkers into a single ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method and optimized it, prioritizing simplicity of sample preparation and time needed for analysis, enabling high-throughput analysis in clinical laboratory settings. We validated the method in terms of limits of detection (LOD) and quantitation (LOQ), linearity (R²), and intra- and inter-day repeatability of each metabolite. The method’s performance was demonstrated in the analysis of selected samples from a diabetes cohort study. Metabolite levels were associated with clinical measurements and kidney complications in type 1 diabetes (T1D) patients. Specifically, both amino acids and amino acid-related analytes, as well as specific bile acids, were associated with macro-albuminuria. Additionally, specific bile acids were associated with glycemic control, anti-hypertensive medication, statin medication, and clinical lipid measurements. The developed analytical method is suitable for robust determination of selected plasma metabolites in the diabetes clinic.

Assessing the prevalence and risk factors of pre-diabetes among the community of Iganga municipality, Uganda: a cross sectional study

OBJECTIVE

The prevalence of pre-diabetes is increasing globally with more than 470 million people projected to develop pre-diabetes by 2030. In Africa, the average prevalence of pre-diabetes was estimated at 7.3% in 2015 and affected individual will develop type 2 diabetes mellitus within few decades. The aim of the study was to determine the prevalence of pre-diabetes and associated risk factors among residents of Iganga municipality. A cross-sectional study was conducted among males and females aged 13-60 years. District health office provided updated household list from which sampling of the villages was performed based on probability proportionate to population. Consented participants were prepared for the study, allowing fasting for 8 to 10 h before blood collection the next morning. Individuals with impaired fasting glucose, were subjected to OGTT.

RESULTS

130 participants were enrolled, of which 98 were women. The mean age of the participants was 35 years. The prevalence of pre-diabetes was 3.8%. The proportion of impaired glucose tolerance was higher in current smokers (p = 0.01), obese participants (p = 0.002) and hypertensive participants (p < 0.001). Prevalence of pre-diabetes is high in this community and is associated with current smoking, hypertension and high BMI.

From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research

Diabetes, a silent killer, is one of the most widely prevalent conditions of the present time. According to the 2017 International Diabetes Federation (IDF) statistics, the global prevalence of diabetes among the age group of 20-79 years is 8.8%. In addition, 1 in every 2 persons is unaware of the condition. This unawareness and ignorance lead to further complications. Pre-diabetes is the preceding condition of diabetes, and in most of the cases, this ultimately leads to the development of diabetes. Diabetes can be classified into three types, namely type 1 diabetes, type 2 diabetes mellitus (T2DM) and gestational diabetes. The diagnosis of both pre-diabetes and diabetes is based on glucose criteria; the common modalities used are fasting plasma glucose (FPG) test and oral glucose tolerance test (OGTT). A glucometer is commonly used by diabetic patients to measure blood glucose levels with fast and rather accurate measurements. A few of the more advanced and minimally invasive modalities include the glucose-sensing patch, SwEatch, eyeglass biosensor, breath analysis, etc. Despite a considerable amount of data being collected and analyzed regarding diabetes, the actual molecular mechanism of developing type 2 diabetes mellitus (T2DM) is still unknown. Both genetic and epigenetic factors are associated with T2DM. The complications of diabetes can predominantly be classified into two categories: microvascular and macrovascular. Retinopathy, nephropathy, and neuropathy are grouped under microvascular complications, whereas stroke, cardiovascular disease, and peripheral artery disease (PAD) belong to macrovascular complications. Unfortunately, until now, no complete cure for diabetes has been found. However, the treatment of pre-diabetes has shown significant success in preventing the further progression of diabetes. To prevent pre-diabetes from developing into T2DM, lifestyle intervention has been found to be very promising. Various aspects of diabetes, including the aforementioned topics, have been reviewed in this paper.

Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study

OBJECTIVE

This study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.

DESIGN

Data for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X2 test and multivariate logistic regression analyses were performed to test for association between risk factors and diabetes and IFG.

RESULTS

Women constituted 60.30% of the study participants, mean age of participants was 55.32±12.18 years, risk factors for diabetes and IFG were prevalent (75% dyslipidaemia, 57% overweight/obese, 50% central obesity and 18% metabolic syndrome). The prevalence of diabetes and IFG was 4.19% and 7.22%, respectively. Having a metabolic syndrome (adjusted OR (aOR) 4.7, 95% CI 4.27 to 5.33), dyslipidaemia (aOR 2.76, 95% CI 2.31 to 3.21), centrally obese (aOR 2.38, 95% CI 2.11 to 2.70), being overweight/obese (aOR 1.66, 95% CI 1.45 to 1.79) and a family history of diabetes (aOR 1.50, 95% CI 1.15 to 1.92) were associated with diabetes. These factors were also associated with IFG. Intake of high salt diet (aOR 1.16, 95% CI 1.02 to 1.32) and smoking (aOR 1.22, 95% CI 1.02 to 1.47; significant in men) were also associated with diabetes. Engaging in moderate physical activity (aOR 0.94, 95% CI 0.89 to 0.98) was noted to be negatively associated with diabetes.

CONCLUSION

Diabetes and IFG remain prevalent in Chinese population with obesity and dyslipidaemia being some of the most significant predictors. Regular physical activity and consumption of fruits and vegetables may be beneficial in keeping blood glucose level low.

TRIAL REGISTRATION NUMBER

ChiCTR-OOC-15006699.

Prevalence of Metabolic Syndrome in Prediabetes

Aims: To study the prevalence of metabolic syndrome and its components in prediabetes and to compare the anthropometric indices [waist circumference (WC), hip circumference, waist-hip ratio, waist-height ratio] as predictors of metabolic syndrome in prediabetes. Methods: A total of 300 subjects (200 prediabetic cases and 100 matched normoglycemic controls) in the age group of 18-70 years were recruited for the study. Among the cases, there were 38% of males and 62% of females; and there were 33% of males and 67% of females in the control group. Prediabetes was diagnosed using the American Diabetic Association (ADA) criteria, and metabolic syndrome was diagnosed using the International Diabetes Federation criteria. Results: Prevalence of metabolic syndrome was 63% among the cases and 26% among the normoglycemic controls. Among cases, 56.5% of males and 66.9% of females, and among the controls, 36.3% of males and 20.9% of females had metabolic syndrome. The prevalence of metabolic syndrome increased with age and increasing body mass index among both the cases and controls. Central obesity was found to be the most common component of metabolic syndrome among prediabetic males (80.2%) and females (82.2%). The most common cluster of abnormality among the cases and controls was found to be increased WC plus low high-density lipoprotein plus increased triglycerides. Logistic regression analysis was applied to anthropometric indices, and it was found that increased WC had the maximum predictive power for metabolic syndrome among the subjects with prediabetes. Conclusion: Metabolic syndrome was more prevalent in the prediabetic population in comparison to the normoglycemic individuals with increased WC being the most prevalent component. Increased WC had the maximum predictive power for occurrence of metabolic syndrome among prediabetic subjects.

Partitioning of radiological, stress and biochemical changes in pre-diabetic women subjected to Diabetic Yoga Protocol

BACKGROUND

Yoga is an ancient system of wellness with Asana and Pranayama as its most popular and propagated modules for management of lifestyle disorders.

OBJECTIVES

The aim of the study was to characterise the liver abnormalities, biochemical changes, and stress levels after Yoga intervention in prediabetic females.

MATERIALS AND METHODS

37 females were randomly divided into Yoga practising and non-practising control groups. The Yoga practising group performed Diabetic Yoga Protocol (DYP) for 3 months. Parameters including size of liver, fatty infiltration, and grade of severity were measured using ultrasonography along with biochemical parameters and stress levels at baseline and after Yoga practice.

RESULTS

The glycosylated hemoglobin (HbA1c) and glucose levels were found significantly reduced in prediabetic (p = 0.015) women after practising DYP, although cholesterol levels increased in menopausal women. No escalation of fatty liver was noted among women practising DYP.

CONCLUSION

DYP reduced the HbA1c and stress levels and therefore, could be a cost-effective tool for preventing prediabetes to diabetes progression.

Vitamin D deficiency in the aetiology of obesity-related insulin resistance

The obese insulin-resistant state is often associated with low circulating concentration of vitamin D 25-hydroxyvitamin D₃ [25(OH)D₃ ]. Fat sequestration of vitamin D in the expanded obese adipose tissue mass has been pointed out as a plausible explanation for this circulating vitamin D deficiency. However, the putative mechanisms behind this hypovitaminosis D remain to be elucidated. The presence of vitamin D receptor and vitamin D-metabolizing enzymes in insulin-sensitive organs suggests that vitamin D may be involved in glucose and lipid metabolism and may be related to insulin sensitivity. Indeed, mainly in vitro studies support a role of vitamin D in regulating glucose and lipid metabolism in several insulin-sensitive tissues including adipose tissue, skeletal muscle, liver, as well as pancreatic insulin secretion. A potential role of vitamin D in gut barrier function and metabolism has also been suggested. This review summarizes recent knowledge on vitamin D deficiency in the aetiology of obesity-related insulin resistance and discusses potential underlying mechanisms. Finally, the role of vitamin D supplementation on insulin sensitivity and glycaemic control is discussed.

Alendronate improves fasting plasma glucose and insulin sensitivity, and decreases insulin resistance in prediabetic osteopenic postmenopausal women: A randomized triple-blind clinical trial

AIMS/INTRODUCTION

Postmenopausal women receive bisphosphonates for osteoporosis treatment. The effect of these medications on developing diabetes mellitus in prediabetic patients is yet to be investigated. We aimed to determine the effect of alendronate on plasma glucose, insulin indices of postmenopausal women with prediabetes and osteopenia.

MATERIALS AND METHODS

The present triple-blind randomized controlled clinical trial included 60 postmenopausal women, aged 45-60 years. All patients were vitamin D sufficient. They were randomly enrolled in intervention (70 mg/week alendronate for 12 weeks) and control (placebo tablet per week for 12 weeks) groups. The morning 8-h fasting blood samples were collected at the baseline and follow-up visits to measure the fasting plasma glucose (mg/dL), insulin and hemoglobin A1c (HbA1c). Plasma glucose and insulin concentration were measured 30, 60 and 120 min after the glucose tolerance test. The Matsuda Index, homeostasis model assessment of insulin resistance, homeostasis model assessment of β-cell function and the area under the curves of glucose and insulin were calculated.

RESULTS

The mean (standard deviation) fasting plasma glucose (102.43 [1.46] mg/dL vs 94.23 [1.17] mg/dL, P = 0.001), 120-min insulin concentration (101.86 [15.70] mU/L vs 72.60 [11.36] mU/L, P = 0.026), HbA1c (5.60 [0.06]% vs 5.40 [0.05]%, P = 0.001), homeostasis model assessment of insulin resistance (3.57 [0.45] vs 2.62 [0.24], P = 0.021) and Matsuda Index (7.7 [0.41] vs 9.2 [0.4], P = 0.001) significantly improved in the alendronate-treated group. There were more statistically significant reductions in fasting plasma glucose (-8.2 [8.63] mg/dL vs -2.5 [14.26] mg/dL, P = 0.002) and HbA1c (-0.2 [0.23]% vs -0.09 [0.26]%, P = 0.015) observed in the alendronate-treated group than the placebo group during the study course, respectively.

CONCLUSIONS

Administration of 70 mg/week alendronate improves fasting plasma glucose, HbA1c and insulin indices in postmenopausal women.

Dietary Patterns in Relation to Components of Dyslipidemia and Fasting Plasma Glucose in Adults with Dyslipidemia and Elevated Fasting Plasma Glucose in Taiwan

Dietary patterns have been proposed to be related to dyslipidemia and hyperglycemia. This study investigated the correlation of dietary patterns with components of dyslipidemia and fasting plasma glucose (FPG) among young and middle-aged adults (aged between 20 and 50 years) with dyslipidemia and abnormal FPG in Taiwan. This cross-sectional study used the database compiled in Taiwan between 2001 to 2010. A total of 13,609 subjects aged between 20 and 50 years were selected. Dyslipidemia was defined primarily according to the National Cholesterol Education Program Adult Treatment Panel III guidelines with minor modification. Elevated FPG level was defined according to the American Diabetes Association. The factor analysis was conducted to identify three dietary patterns. Higher scores of the meat-convenience dietary pattern (high intake of deep-fried and processed food, sauces, sugar-added beverages, meat and organ meats, instant noodles, rice or flour cooked in oil, and eggs) had no association with components of dyslipidemia and abnormal FPG. Higher scores of the vegetables-fruits-seafood dietary pattern (high intake of vegetables, vegetables with oil or dressing, fruits, seafood, legumes, soy products, and rice or flour products) was inversely associated with hypercholesterolemia and positively associated with hyperglycemia. Higher scores of the dairy-complex carbohydrate dietary pattern (high intake of dairy products, milk, root crops, jam or honey, and whole grains) was inversely correlated with hypertriglycemia and low high-density lipoprotein cholesterol level. Our results support that the dietary pattern may have a role in the prevention and management of dyslipidemia and abnormal fasting plasma glucose.

Evaluating the utility of self-reported questionnaire data to screen for dysglycemia in young adults: Findings from the US National Health and Nutrition Examination Survey

Dysglycemia, including prediabetes and type 2 diabetes, is dangerous and widespread. Yet, the condition is transiently reversible and sequelae preventable, prompting the use of prediction algorithms to quickly assess dysglycemia status through self-reported data. However, as current algorithms have largely been developed in older populations, their application to younger adults is uncertain considering associations between risk factors and dysglycemia vary by age. We sought to identify sex-specific predictors of current dysglycemia among young adults and evaluate their ability to screen for prediabetes and undiagnosed diabetes. We analyzed 2005-2014 data from the National Health and Nutrition Examination Survey for 3251 participants aged 20-39, who completed an oral glucose tolerance test (OGTT), had not been diagnosed with diabetes, and, for females, were not pregnant. Sex-specific stepwise logistic models were fit with predictors identified from univariate analyses. Risk scores were developed using adjusted odds ratios and model performance was assessed using area under the curve (AUC) measures. The OGTT identified 906 (27.9%) and 78 (2.4%) participants with prediabetes or undiagnosed diabetes, respectively. Predictors of dysglycemia status for males were BMI, age, race, and first-degree family history of diabetes, and, in addition to those, education, delivered baby weight, waist circumference, and vigorous physical activity for females. Our male- and female-specific models demonstrated improved validity to assess dysglycemia presence among young adults relative to the widely-used American Diabetes Association test (AUC = 0.69 vs. 0.61; 0.92 vs. 0.71, respectively). Thus, age-specific scoring algorithms employing questionnaire data show promise and are effective in identifying dysglycemia among young adults.

Social cognitive theory-based intervention to promote physical activity among prediabetic rural people: a cluster randomized controlled trial

Background

The present randomized controlled trial (RCT) evaluated the effectiveness of a theory-based physical activity (PA) intervention for rural patients with prediabetes. It was hypothesized that a PA intervention program based on the social cognitive theory (SCT) will modify fasting blood sugar (FBS) among rural people with prediabetes, which in turn will result in a decrease in diabetes incidence in the rural area.

Methods

A cluster RCT on prediabetic people was conducted in Ahar, East Azerbaijan Province, Iran. A PA intervention in prediabetes was performed over 16 weeks of follow-ups in 12 villages (six per arm). Residents (n = 272; n = 136 per arm) were invited to participate in the study through rural health care centers during screening for eligibility. Participants in the intervention and control groups were informed of their prediabetic conditions and encouraged to make appropriate changes to their lifestyles to modify their prediabetes. The intervention was an educational program delivered over 16 weeks and involved behavioral change techniques. Through the education program, the intervention group received one session per week lasting about 90 min (a total of 16 sessions). The importance of risk control with PA, the duration of hill climbing, as well as exercise and safety tips were explained in a brochure that was given to the participants. Anthropometric measures, glycemic status, and PA were evaluated at the beginning of the program and after 16 weeks of follow-up.

Results

The PA program showed a reduction in FBS mg/dl at 16 weeks (large-effect-size Cohen’s d = −0.63, p = 0.001) compared to the control condition. PA intervention led to a large effect size on diastolic blood pressure (BP, − 1.01) and a medium effect size for systolic BP (− 0.57), body mass index (BMI, − 0.33), and weight (− 0.35). Based on generalized linear mixed model analysis, significant reductions in FBS (mg/dl), BMI, weight, and diastolic BP were found in the intervention group compared to the control group.

Conclusion

Our results support the effectiveness of an SCT-based PA intervention to reduce the risk of prediabetes developing into diabetes among rural patients with prediabetes. Findings suggest that implementation of SCT-based PA intervention for a rural population at risk of diabetes has potential benefits.

Trial registration

Iranian Registry of Clinical Trials, IRCT201607198132N4. Registered on 1 September 2017. Prospectively registered.

Stem-cell based organ-on-a-chip models for diabetes research

Diabetes mellitus (DM) ranks among the severest global health concerns of the 21st century. It encompasses a group of chronic disorders characterized by a dysregulated glucose metabolism, which arises as a consequence of progressive autoimmune destruction of pancreatic beta-cells (type 1 DM), or as a result of beta-cell dysfunction combined with systemic insulin resistance (type 2 DM). Human cohort studies have provided evidence of genetic and environmental contributions to DM; yet, these studies are mostly restricted to investigating statistical correlations between DM and certain risk factors. Mechanistic studies, on the other hand, aimed at re-creating the clinical picture of human DM in animal models. A translation to human biology is, however, often inadequate owing to significant differences between animal and human physiology, including the species-specific glucose regulation. Thus, there is an urgent need for the development of advanced human in vitro models with the potential to identify novel treatment options for DM. This review provides an overview of the technological advances in research on DM-relevant stem cells and their integration into microphysiological environments as provided by the organ-on-a-chip technology.

Prediabetes Risk Assessment among Nurses Recruited in a Dubai Local Government Hospital: A Cross-Sectional Study

<b><i>Background:</i></b> Nurses constitute half of the health workforce; their health could be at risk for chronic diseases, such as prediabetes and diabetes, as well as other occupational hazards, such as nurses’ stress. Health promotion, possibly workplace based, presents opportunities to safeguard the health of nurses. Using a prediabetes risk assessment tool for screening the nurses is important to ensure that they remain physically and mentally fit to perform their work and to comply with various health and safety regulations. <b><i>Objective:</i></b> The aims of this study were to determine the prevalence of prediabetes and its risk among nurses in Dubai Hospital and to study risk factors associated with prediabetes status. <b><i>Methodology:</i></b> A cross-sectional study was carried out in Dubai Hospital-Dubai Health Authority. A convenience sample was selected including 674 nurses estimated using OpenEpi software. Data was collected using a standardized diabetes risk assessment tool (The Finnish Diabetes Risk Score [FINDRISC]). Inclusion criteria were staff nurses working in Dubai Hospital in the age group from 25 to 64 years and nondiabetic staff in Dubai Hospital; an operational definition of prediabetes was used. The data were coded, and data entry and data analysis were made using SPSS 20 software version. The data were tested at a level of significance of 95%. <b><i>Results:</i></b> The study revealed that 42.7% of the participants had a low prediabetes risk, 38.4% had a slightly elevated prediabetes risk, 10.8% had a moderate prediabetes risk, 7.6% had a high prediabetes risk, and 0.5% had a very high prediabetes risk. Age, body mass index, waist circumference, history of antihypertensive drug treatment, history of high blood glucose, family history of diabetes, daily consumption of fruits, berries, or vegetables, and daily physical activity had a significant relationship with the prediabetes test (<i>p</i> &#x3c; 0.01). <b><i>Conclusions:</i></b> Frequent testing is recommended to follow the risk score. Since we cannot control unmodifiable factors, such as age and family history, we can control modifiable factors, such as having a healthy lifestyle with healthy food and exercise to decrease the risk of developing type 2 diabetes. Health promotion and education can decrease the risk of developing type 2 diabetes.

High prevalence of prediabetes among the family members of individuals with diabetes. Findings from targeted screening program from south India

AIM

We aimed to screen for prediabetes, diabetes and other cardiovascular risk factors among family members of people with diabetes registered for care in a primary health centre in South India.

METHODS

During 2017-2018, we screened eligible family members of individuals with diabetes at their homes. We measured fasting capillary blood glucose (FCBG); for those with FCBG≥126 mg/dl, we confirmed the diagnosis of diabetes with fasting plasma glucose (FPG). We defined prediabetes as FCBG between 100 and 125 mg/dl; diabetes as both FCBG and FPG ≥126 mg/dl. We assessed non-communicable disease risk factors using WHO STEPS questionnaire.

RESULTS

Of total 884 participants, 873 (99%) underwent screening; 280 (32%) had prediabetes, and 19 (2.2%) were confirmed with diabetes. Of newly diagnosed, 17 (90%) were initiated on treatment. Of 873 participants, 180 (20.6%) were newly diagnosed with hypertension. Of the total, 7.3%, 5.2% and 16% reported tobacco use, alcohol use and high salt intake respectively. Nearly half (48%) had overweight.

CONCLUSION

Though the yield for diabetes is modest (3%), the house to house approach was able to screen 99% of eligible population. High prevalence of prediabetes and undiagnosed hypertension emphasize the need for screening and life style modifications.

Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions

Abstract. Recent rapid advances in technology have provided us with a golden opportunity to effect change in health-related outcomes for chronic disease by employing digital technologies to encourage and support behavior change to promote and maintain health. Behavior change theories are the bedrock to developing evidence-based mHealth interventions. Digital technologies enable researchers to empirically test behavioral theories in “real-world” contexts using behavior change techniques ( Hekler, Michie, et al., 2016 ). According to the European Commission (2014) among the world’s population of 7 billion, there are over 5 billion mobile devices and over 90% of the users have their mobile device near them 24 hr a day. This provides a huge opportunity for behavior change and one that health psychologists have already begun to address. However, while a novel and exciting area of research, many early studies have been criticized for lacking a strong evidence base in both design and implementation. The European Commission conducted a public consultation in 2016 on the issues surrounding the use of mHealth tools (e.g., apps) and found a lack of global standards was a significant barrier. Recently, the World Health Organization (WHO) mHealth Technical Evidence Review Group developed the mHealth evidence reporting and assessment (mERA) checklist for specifying the content of mHealth interventions. Health psychologists play a key role in developing mHealth interventions, particularly in the management of chronic disease. This article discusses current challenges facing widespread integration of mobile technology into self-management of chronic disease including issues around security and regulation, as well as investigating mechanisms to overcoming these barriers.

Indirect Effects of Body Mass Index Growth on Glucose Dysregulation via Inflammation: Causal Moderated Mediation Analysis

OBJECTIVE

No existing studies have examined the mediating role of chronic inflammation between obesity and dysregulated glucose homeostasis in adolescent samples. This study evaluated whether C-reactive protein (CRP), an inflammation biomarker, mediated the effects of growth (annual increase) in body mass index (BMI) on glycated hemoglobin (HbA1c).

METHODS

BMI and biomarker data were used from wave I to wave IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health study; 4,545 adolescents; mean age = 14.9 years; 55.7% female) with valid CRP data. A causal moderated mediation analysis evaluated the direct and indirect effects of BMI slope on HbA1c via CRP across gender, with demographic and clinical characteristics as model covariates.

RESULTS

The participants displayed a linear BMI growth of 0.53-0.58 kg/m2/year throughout adolescence, with substantial interindividual variation. The BMI slope showed positive direct and indirect effects on HbA1c via CRP across gender, and there was a significant exposure-mediator interaction effect. A standardized increase in the BMI slope raised the probability of an abnormal HbA1c value by 6.0-8.5% in participants with various profiles. The total natural indirect effect accounted for 13.3-15.9% of the total effect in males and 21.2-22.7% in females.

CONCLUSIONS

The findings provide support for the inflammation mechanism in the effects of adiposity on glucose homeostasis. In adolescents, excess BMI growth was linked with a higher risk of glucose dysregulation either directly or indirectly via chronic inflammation.

Integrated motivational interviewing and cognitive behaviour therapy can increase physical activity and improve health of adult ambulatory care patients in a regional hospital: the Healthy4U randomised controlled trial

BACKGROUND

The aim of this study was to determine whether a twelve-week, health coaching intervention could result in changes in physical activity, anthropometrics and health-related outcomes in adults presenting to an ambulatory hospital clinic.

METHODS

Seventy-two participants who reported being insufficiently active were recruited from an ambulatory hospital clinic and randomised to an intervention group that received an education session and eight 30-min telephone sessions of integrated motivational interviewing and cognitive behaviour therapy (MI-CBT), or to a control group that received the education session only. ActiGraph GT3X accelerometers were used to measure moderate-to-vigorous physical activity at baseline, post-intervention (3-months) and follow-up (6-months). Secondary outcome measures (anthropometrics, physical activity self-efficacy, health-related quality of life, type 2 diabetes risk) were also assessed at the three time points.

RESULTS

At baseline, the mean age and body mass index of participants (n = 72, 75% females) were 53 ± 8 years and 30.8 ± 4.1 kg/m2, respectively. Treatment group influenced the pattern of physical activity over time (p < 0.001). The intervention group increased moderate-to-vigorous physical activity from baseline to post-intervention and remained elevated at follow-up by 12.9 min/day (95%CI: 6.5 to 19.5 min/day). In contrast, at follow-up the control group decreased moderate-to-vigorous physical activity by 9.9 min/day (95%CI: -3.7 to -16.0 min/day). Relative to control, at follow-up the intervention group exhibited beneficial changes in body mass (p < 0.001), waist circumference (p < 0.001), body mass index (p < 0.001), physical activity self-efficacy (p < 0.001), type 2 diabetes risk (p < 0.001), and health-related quality of life (p < 0.001).

CONCLUSIONS

This study demonstrates that a low contact coaching intervention results in beneficial changes in physical activity, anthropometrics and health-related outcomes that were maintained at follow-up in adults who report being insufficiently active to an ambulatory care clinic.

TRIAL REGISTRATION

ANZCTR: ACTRN12616001331426 . Registered 23 September 2016.

Genetic susceptibility to pre diabetes mellitus and related association with obesity and physical fitness components in Mexican-Mestizos

Pre diabetes mellitus (pre-DM) is considered an early-reversible condition that can progress to Type 2 diabetes mellitus (T2DM) which is the main cause of death for adult Mexican population. Gene variants influencing fasting glucose levels may constitute helpful tool for prevention purposes in pre-DM condition. Physically active Mexican-Mestizo adults (n=565) were genotyped for 6 single nucleotide polymorphisms (SNPs) (ADIPOQ rs2241766, ACSL1 rs9997745, LIPC rs1800588, PPARA rs1800206, PPARG rs1801282 and PPARGC1A rs8192678) related to lipid and carbohydrate metabolism. Fasting glucose was measured and values classified as pre-DM (≥100mg/dL) or normal fasting glucose. Logistic models were used to test associations between pre-DM condition and SNPs, and interaction with Body Mass Index (BMI) and physical fitness components. The A allele of ASCL1 rs9997745 conferred increased risk (OR=3.39, p=0.001) of pre-DM which is modulated by BMI. The A allele of the PPARGC1A rs8192678 showed significant SNP*BMI (OR=1.10, p=0.008) interaction effect for pre-DM risk, meaning that obese subjects showed higher pre-DM risk but normal weight subjects showed lower risk. The effect increased with age and was attenuated by higher cardiorespiratory values. We found that both ACSL1 rs9997745 and PPARGC1A rs8192678 are associated with pre-DM, and that BMI significantly modified their association.

Review of Metformin Use for Type 2 Diabetes Prevention

CONTEXT

Prediabetes is prevalent and significantly increases lifetime risk of progression to type 2 diabetes. This review summarizes the evidence surrounding metformin use for type 2 diabetes prevention.

EVIDENCE ACQUISITION

Articles published between 1998 and 2017 examining metformin use for the primary indication of diabetes prevention available on MEDLINE.

EVIDENCE SYNTHESIS

Forty articles met inclusion criteria and were summarized into four general categories: (1) RCTs of metformin use for diabetes prevention (n=7 and n=2 follow-up analyses); (2) observational analyses examining metformin use in heterogeneous subgroups of patients with prediabetes (n=9 from the Diabetes Prevention Program, n=1 from the biguanides and the prevention of the risk of obesity [BIGPRO] trial); (3) observational analyses examining cost effectiveness of metformin use for diabetes prevention (n=11 from the Diabetes Prevention Program, n=1 from the Indian Diabetes Prevention Program); and (4) real-world assessments of metformin eligibility or use for diabetes prevention (n=9). Metformin was associated with reduced relative risk of incident diabetes, with the strongest evidence for use in those at highest risk (i.e., aged <60 years, BMI ≥35, and women with histories of gestational diabetes). Metformin was also deemed cost effective in 11 economic analyses. Recent studies highlighted low rates of metformin use for diabetes prevention in real-world settings.

CONCLUSIONS

Two decades of evidence support metformin use for diabetes prevention among higher-risk patients. However, metformin is not widely used in real-world practice, and enhancing the translation of this evidence to real-world practice has important implications for patients, providers, and payers.

Current and emerging pharmacotherapy for prediabetes: are we moving forward?

INTRODUCTION

Prediabetes is a state wherein blood glucose levels are above normal but below the diagnostic threshold for diabetes. Seventy percent of patients with prediabetes develop type 2 diabetes in their lifetime. Despite this, prediabetes frequently goes undiagnosed.

AREAS COVERED

This review focuses on the pharmacological treatment of prediabetes and the prevention of progression to diabetes. A literature search was carried out on PubMed and Embase to review randomized controlled trials examining treatment of prediabetes. Emerging pharmacological therapies with potential benefit are discussed.

EXPERT OPINION

Lifestyle intervention is the cornerstone for preventing progression to diabetes, but metformin remains the first line pharmacological intervention. There appears to be minimal additive effect of combining metformin with lifestyle changes. It would be interesting to assess whether using combination pharmacological approaches plus or minus lifestyle interventions have any additive benefit. Despite the good level of evidence available, the penetrance of any interventions remains very low in part due to the prodromal categorization of the prediabetic state.

Serum Branched Chain Amino Acids Are Associated with Type 2 Diabetes Mellitus in Jordan

BACKGROUND

Diabetes mellitus is a global public health problem that is caused by the lack of insulin secretion (type 1) or resistance to its action (type 2). A low insulin-to-glucagon ratio predicts an increase in the serum levels of branched chain amino acids, a feature confirmed in several populations. This relationship has not been assessed in Jordan. The objective of this study was to investigate the association between serum branched chain amino acids and type 2 diabetes mellitus in patients in Jordan.

METHODS

Two hundred type 2 diabetes mellitus patients and an additional 200 non-diabetic controls were recruited. Age, body mass index, and waist circumference of the subjects were recorded. Branched chain amino acid, total cholesterol, and triglyceride levels were measured from the collected serum samples.

RESULTS

Serum branched chain amino acid levels were significantly higher in type 2 diabetes mellitus patients than in non-diabetes individuals (P<0.0001). In binomial regression analysis, serum branched chain amino acid levels remained significantly associated with diabetes mellitus and increased its risk (odds ratio, 1.004; 95% confidence interval, 1.001-1.006; P=0.003).

CONCLUSION

Type 2 diabetes mellitus is associated with higher branched chain amino acid levels in Jordan independent of age, sex, body mass index, waist circumference, and total serum cholesterol and serum triglyceride levels.

Evaluation of Two-Diabetes Related microRNAs Suitability as Earlier Blood Biomarkers for Detecting Prediabetes and type 2 Diabetes Mellitus

Increased the incidence of prediabetes and type 2 diabetes (T2D) worldwide raises an urgent need to develop effective tools for early disease detection to facilitate future preventive interventions and improve patient’s care. We evaluated the suitability of diabetes-related miR-375 and miR-9 as earlier biomarkers for detecting prediabetes and T2D.TaqMan-based RT-qPCR was used to quantify the expression of miRNAs in peripheral blood of 30 prediabetes patients, 30 T2D patients and 30 non-diabetic healthy controls. Compared to controls, miR-375 and miR-9 were expressed at higher levels in prediabetes patients and progressively more enriched in T2D patients. Both miRNAs were directly associated with the presence of prediabetes and T2D independently of known risk factors to T2D and miR-375 was independently associated with the development of T2D. Both miRNAs were positively correlated with the glycemic status and other T2D risk factors. The ROC analysis indicated good diagnostic abilities for miR-375 to distinguish overall patients from control and prediabetes from T2D patients. Whereas, miR-9 showed lower values and borderline significance in discriminating the subject groups. The combination of miRNAs enhanced the predictability to discriminate patients from control. These results suggest that miR-375 and miR-9 are associated with the susceptibility to developing T2D and miR-375 alone or in combination with miR-9 could serve as biomarkers for early detection of prediabetes and T2D.

Cultural primer for cardiometabolic health: health disparities, structural factors, community, pathways to improvement, and clinical applications

The quest to optimize cardiometabolic health has created great interest in nonmedical health variables in the population, community-based research and coordination, and addressing social, ethnic, and cultural barriers. All of these may be of equal or even greater importance than classical health care delivery in achieving individual well-being. One dominant issue is health disparity - causes, methods of reduction, and community versus other levels of solutions. This communication summarizes some major views regarding social structures, followed by amplification and synthesis of central ideas in the literature. The role of community involvement, tools, and partnerships is also presented in this Primer. Recent views of how these approaches could be incorporated into cardiometabolic initiatives and strategies follow, with implications for research. Two examples comparing selected aspects of community leverage and interventions in relation to individual approaches to health care equity are examined in depth: overall performance in reducing cardiovascular risk and mortality, and the recent National Diabetes Prevention Program, both touching upon healthy diets and adherence. Finally, the potential that precision medicine offers, and possible effects on disparities are also discussed.

Reducing the Risk of Type 2 Diabetes in Nonselected Outpatients With Schizophrenia: A 30-Month Program

BACKGROUND

Type 2 diabetes is 2- to 3-fold more common in patients with schizophrenia than in the general population. A lifestyle with a focus on diet, exercise, and medication is required to prevent complications from type 2 diabetes, but patients with schizophrenia frequently have trouble maintaining such a lifestyle because of factors related to their illness, such as cognitive disturbances, negative and positive symptoms, and side effects of psychotropic medications.

OBJECTIVE

To measure and reduce risk factors for type 2 diabetes in patients with schizophrenia and examine characteristics associated with positive outcomes.

METHODS

This study, which was conducted in clinics treating both newly diagnosed and long-term (LT) patients with schizophrenia, evaluated the effects of a 30-month naturalistic intervention on improvement in the physical health of patients treated for schizophrenia and reduction in their risk factors for type 2 diabetes. The clinical intervention incorporated individual guidance, group sessions, and treatment as usual.

RESULTS

Patients newly diagnosed with schizophrenia were found to have high consumption of soft drinks and low physical activity at their index evaluation. At follow-up, the physical profile of these patients had worsened, with increased weight, waist circumferences, visceral adiposity index (P=0.030), and glycosylated hemoglobin (HbA1c; P=0.010). Average HbA1c values increased in newly diagnosed male patients by 0.24 mmol/l (P=0.007). At follow-up, LT patients improved with regard to their consumption of soft drinks (P=0.001) and fast food (P=0.009). The LT patients also reduced their weight and waist circumferences and became more physically active. No changes in HbA1c values were found in the LT patients during the intervention period.

CONCLUSION

The study found that positive outcomes were associated with female sex and a longer duration of illness. Negative outcomes with worsening of risk factors were associated with being newly diagnosed with schizophrenia and male sex. It was possible to produce improvements in some risk factors through individual health-oriented lifestyle interventions, especially in LT patients.

Determining the optimal screening interval for type 2 diabetes mellitus using a risk prediction model

Background

Progression to diabetes mellitus (DM) is variable and the screening time interval not well defined. The American Diabetes Association and US Preventive Services Task Force suggest screening every 3 years, but evidence is limited.

The objective of the study was to develop a model to predict the probability of developing DM and suggest a risk-based screening interval.

Methods

We included non-diabetic adult patients screened for DM in the Cleveland Clinic Health System if they had at least two measurements of glycated hemoglobin (HbA1c), an initial one less than 6.5% (48 mmol/mol) in 2008, and another between January, 2009 and December, 2013. Cox proportional hazards models were created.

The primary outcome was DM defined as HbA1C greater than 6.4% (46 mmol/mol). The optimal rescreening interval was chosen based on the predicted probability of developing DM.

Results

Of 5084 participants, 100 (4.4%) of the 2281 patients with normal HbA1c and 772 (27.5%) of the 2803 patients with prediabetes developed DM within 5 years. Factors associated with developing DM included HbA1c (HR per 0.1 units increase 1.20; 95%CI, 1.13–1.27), family history (HR 1.31; 95%CI, 1.13–1.51), smoking (HR 1.18; 95%CI, 1.03–1.35), triglycerides (HR 1.01; 95%CI, 1.00–1.03), alanine aminotransferase (HR 1.07; 95%CI, 1.03–1.11), body mass index (HR 1.06; 95%CI, 1.01–1.11), age (HR 0.95; 95%CI, 0.91–0.99) and high-density lipoproteins (HR 0.93; 95% CI, 0.90–0.95). Five percent of patients in the highest risk tertile developed DM within 8 months, while it took 35 months for 5% of the middle tertile to develop DM. Only 2.4% percent of the patients in the lowest tertile developed DM within 5 years.

Conclusion

A risk prediction model employing commonly available data can be used to guide screening intervals. Based on equal intervals for equal risk, patients in the highest risk category could be rescreened after 8 months, while those in the intermediate and lowest risk categories could be rescreened after 3 and 5 years respectively.

Chronic Disease and Mobile Technology: An Innovative Tool for Clinicians

Chronic disease is common, costly and the epidemic of the 21st century. Primary care providers seek new and innovative approaches to prevent chronic illness. Since the majority of chronic illness management occurs outside a physician's office, providers must use different techniques to support daily self-management of any chronic illness. Assisting the individual to develop life skills to support self-management is one way to improve patient outcomes. Technology, that is easily accessed, may provide an additional method to develop and individual's self-management skills to prevent diabetes.

Development and validation of prediabetes risk score for predicting prediabetes among Indonesian adults in primary care: Cross-sectional diagnostic study

OBJECTIVE

To develop and validate a risk score model for recognizing prediabetes among Indonesian adults in primary care.

METHODS

This was a cross-sectional diagnostic study. After excluding subjects with diabetes from Indonesian National Basic Health Survey (INBHS) data set, 21,720 subjects who have completed fasting plasma glucose test and aged >18 years were selected for development stage. About 6,933 subjects were selected randomly from INBHS for validation stage in different diagnostic criteria of prediabetes-based random plasma glucose. Logistic regression was used to determine significant diagnostic variable and the receiver operating characteristic analysis was used to calculate area under the curve (AUC), cutoff point, sensitivity, specificity, and predictive values.

RESULTS

Age, sex, education level, family history of diabetes, smoking habit, physical activity, body mass index, and hypertension were significant variables for Indonesian Prediabetes Risk Score (INA-PRISC). The scoring range from 0 to 24, the AUC was 0.623 (95% CI 0.616-0.631) and cutoff point of 12 yielded sensitivity/specificity (50.03%/67.19%, respectively). The validation study showed the AUC was 0.646 (95% CI 0.623-0.669) and cutoff point of 12 yielded sensitivity/specificity (55.11%/65.81%, respectively).

CONCLUSION

INA-PRISC, which consists of eight demographical and clinical variables, is a valid and a simple prediabetes risk score in primary care.

Dynamics of diabetes and obesity: Epidemiological perspective

The purpose of this review article is to understand the current literature on obesity, diabetes and therapeutic avenues across the world. Diabetes is a chronic lifestyle condition that affects millions of people worldwide and it is a major health concern in our society. Diabetes and obesity are associated with various conditions, including non-modifiable and modifiable risk factors. Early detectable markers are not well established to detect pre-diabetes and as a result, it becomes diabetes. Several published epidemiological studies were assessed and the findings were summarized. Resources from published studies were used to identify criteria used for pre-diabetes, the role of diet in pre-diabetics and potential risks and characteristics associated with pre-diabetes. Preventive strategies are needed to combat diabetes. Individuals diagnosed with pre-diabetes need detailed education, need to fully understand the risk factors and have the ability to manage diabetes. Interventions exist that include chronic disease self-management programs, lifestyle interventions and pharmacological strategies. Obesity plays a large role in causing pre-diabetes and diabetes. Critical analysis of existing epidemiological research data suggests that additional research is needed to determine the efficacy of interventions. This article is part of a Special Issue entitled: Oxidative Stress and Mitochondrial Quality in Diabetes/Obesity and Critical Illness Spectrum of Diseases - edited by P. Hemachandra Reddy.

Evaluation of lorcaserin on progression of prediabetes to type 2 diabetes and reversion to euglycemia

OBJECTIVES

Lorcaserin is a selective 5-HT2C (5-hydroxytryptamine 2C) receptor agonist indicated for weight management. Here, we assess the impact of lorcaserin on progression from prediabetes to type 2 diabetes (T2D) and on reversion from prediabetes to euglycemia.

METHODS

This is a post hoc analysis of pooled data from two Phase 3 studies, BLOOM and BLOSSOM (N = 6136), evaluating the impact of lorcaserin on weight and glycemic parameters over 52 weeks in the subpopulation of obese/overweight subjects with prediabetes, alternately defined by fasting plasma glucose (FPG) 100-125 mg/dl or glycated hemoglobin (HbA1c) 5.7-6.4% at baseline.

RESULTS

At Week 52, in the subpopulation with prediabetes, nearly twice as many lorcaserin-treated subjects achieved ≥5% weight loss versus placebo (HbA1c: 55.6% vs. 27.5%, p < 0.001; FPG: 52.8% vs. 28.8%, p < 0.001), and a significantly lower percentage of lorcaserin-treated subjects progressed to T2D versus placebo based on HbA1c (lorcaserin 3.2%, placebo 5.0%, p = 0.032) but not FPG (lorcaserin 1.6%, placebo 2.6%, p = 0.227). A significantly greater proportion of lorcaserin-treated subjects versus placebo also reverted to euglycemia based on both HbA1c (lorcaserin 40%, placebo 29.5%, p < 0.001) and FPG (lorcaserin 52.4%, placebo 46.5%, p = 0.047).

CONCLUSION

In subjects with prediabetes, lorcaserin may contribute to weight loss and improve glycemic parameters, and thus may help with preventing progression to T2D and promoting reversion to euglycemia.

CLINICAL TRIAL REGISTRATION

www.clinicaltrials.gov identifiers are NCT00395135 (BLOOM) and NCT00603902 (BLOSSOM).

Clinical Review of Antidiabetic Drugs: Implications for Type 2 Diabetes Mellitus Management

Type 2 diabetes mellitus (T2DM) is a global pandemic, as evident from the global cartographic picture of diabetes by the International Diabetes Federation (http://www.diabetesatlas.org/). Diabetes mellitus is a chronic, progressive, incompletely understood metabolic condition chiefly characterized by hyperglycemia. Impaired insulin secretion, resistance to tissue actions of insulin, or a combination of both are thought to be the commonest reasons contributing to the pathophysiology of T2DM, a spectrum of disease originally arising from tissue insulin resistance and gradually progressing to a state characterized by complete loss of secretory activity of the beta cells of the pancreas. T2DM is a major contributor to the very large rise in the rate of non-communicable diseases affecting developed as well as developing nations. In this mini review, we endeavor to outline the current management principles, including the spectrum of medications that are currently used for pharmacologic management, for lowering the elevated blood glucose in T2DM.

Mitochondrial Epigenetic Changes Link to Increased Diabetes Risk and Early-Stage Prediabetes Indicator

Type 2 diabetes (T2D) is characterized by mitochondrial derangement and oxidative stress. With no known cure for T2D, it is critical to identify mitochondrial biomarkers for early diagnosis of prediabetes and disease prevention. Here we examined 87 participants on the diagnosis power of fasting glucose (FG) and hemoglobin A1c levels and investigated their interactions with mitochondrial DNA methylation. FG and A1c led to discordant diagnostic results irrespective of increased body mass index (BMI), underscoring the need of new biomarkers for prediabetes diagnosis. Mitochondrial DNA methylation levels were not correlated with late-stage (impaired FG or A1c) but significantly with early-stage (impaired insulin sensitivity) events. Quartiles of BMI suggested that mitochondrial DNA methylation increased drastically from Q1 (20 < BMI < 24.9, lean) to Q2 (30 < BMI < 34.9, obese), but marginally from Q2 to Q3 (35 < BMI < 39.9, severely obese) and from Q3 to Q4 (BMI > 40, morbidly obese). A significant change was also observed from Q1 to Q2 in HOMA insulin sensitivity but not in A1c or FG. Thus, mitochondrial epigenetic changes link to increased diabetes risk and the indicator of early-stage prediabetes. Further larger-scale studies to examine the potential of mitochondrial epigenetic marker in prediabetes diagnosis will be of critical importance for T2D prevention.

Metabolic syndrome, glucose tolerance categories and the cardiovascular risk in Spanish population

We examined the prevalence of metabolic syndrome (MetS), glucose tolerance categories and risk factors of cardiovascular-disease (CVD) in the general Spanish population. We studied 3844 randomly sampled subjects (46% males) aged 35-74 years. Glucose tolerance categories were defined according to the 2003 ADA and MetS according to the Harmonized Consensus Criteria with waist circumference (WC) cut-off-points previously reported in Spanish population (≥94.5/≥89.5cm for males/females). The prevalences of normoglycemia (NG), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), IFG and IGT considered together (IFG/IGT), and diabetes mellitus (DM) were 67.6/16.6/5.0/3.3, and 7.5%, respectively. The overall prevalence of MetS was 31.2%. In subjects with NG, IFG, IGT, IFG/IGT, and DM the MetS prevalence's were 16.3/57.1/31.5/66.1, and 74.4% (p<0.001), respectively. MetS was more common in males, older subjects, smokers, and/or individuals with obesity, IFG, IFG/IGT, DM, or insulin resistance (HOMA-IR ≥3.8). MetS was less prevalent in individuals with low alcohol intake and/or high education level. Regarding the risk level of CVD estimated by Framingham and SCORE risk charts, IGT had higher estimated CVD-risk than IFG and IFG/IGT. The presence of MetS increases the risk 4.85 times by Framingham and 2.43 times by SCORE. Prevalence of prediabetes (IFG/IGT) and MetS were 25% and 31.2% respectively. Prevalence of MetS has not changed in the past decade in Spanish females, but has slightly increased in males. We found that subjects with IGT showed a higher risk of CVD than IFG and IFG/IGT according to the Framingham and SCORE. MetS increased the CVD-risk previously estimated by Framingham and SCORE.

Effect of Coffee Consumption on the Progression of Type 2 Diabetes Mellitus among Prediabetic Individuals

BACKGROUND

A previous large-scale cohort study investigated the relationship between coffee intake and the progression of diabetes mellitus in the United States. However, studies on the effects of coffee on diabetes are rare in South Korea. Therefore, this study assessed the amount and method of coffee intake in Koreans in order to determine if coffee intake has a prophylactic effect on diabetes progression.

METHODS

This study included 3,497 prediabetic patients from a single medical institution, with glycated hemoglobin levels ranging from 5.7% to 6.4%. Cross-tabulation and Kaplan-Meier survival analyses were performed to compare patients with and without diabetes progression based on the frequency and method of coffee intake. Cox proportional hazard analysis was performed to correct for confounding variables.

RESULTS

The observation period (mean±standard deviation) was 3.7±2.3 years. Kaplan-Meier survival analysis revealed that the risk of diabetes progression was lowest in patients who drank black coffee three or more times per day (P=0.036). However, correction for confounding variables in Cox proportional hazard analysis revealed that, while the risk was lower for the patients who typically consumed black coffee than for those who mixed creamer and sugar into their coffees, the difference was not significant.

CONCLUSION

The results of this study suggest that drinking coffee without sugar and creamer at least three times daily has the greatest preventive effect on diabetes onset.

CDKN2A-rs10811661 polymorphism, waist-hip ratio, systolic blood pressure, and dyslipidemia are the independent risk factors for prediabetes in a Vietnamese population

BACKGROUND

People with prediabetes are at greater risk for heart attack, stroke, kidney disease, vision problems, nerve damage and high blood pressure, compared to those without the disease. Prediabetes is a complex disorder involving both genetic and environmental factors in its pathogenesis. This cross-sectional study aimed to investigate the independent risk factors for prediabetes, considering the contribution of genetic factors (TCF7L2-rs7903146, IRS1-rs1801278, INSR-rs3745551, CDKN2A-rs10811661, and FTO-rs9939609), socio-economic status, and lifestyle factors.

RESULTS

Among the candidate genes studied, the CDKN2A-rs10811661 polymorphism was found to be the most significant factor associated with prediabetes in the model unadjusted and adjusted for age, sex, obesity-related traits, systolic blood pressure, dyslipidemia, socio-economic status, and lifestyle factors. In the final model, the CDKN2A-rs10811661 polymorphism (OR per T allele = 1.22, 95 % CI = 1.04-1.44, P = 0.017), systolic blood pressure (OR per 10 mmHg = 1.14, 95 % CI = 1.08-1.20, P < 0.0001), waist-hip ratio (OR = 1.25, 95 % CI = 1.10-1.42, P < 0.0001), dyslipidemia (OR = 1.57, 95 % CI = 1.15-2.14, P = 0.004), and residence (OR = 1.93, 95 % CI = 2.82-4.14, P < 0.0001) were the most significant independent predictors of prediabetes, in which the power of the adjusted prediction model was 0.646.

CONCLUSIONS

The study suggested that the CDKN2A-rs10811661 polymorphism, waist-hip ratio, systolic blood pressure, and dyslipidemia were significantly associated with the increased risk of prediabetes in a Vietnamese population. The studied genetic variant had a small effect on prediabetes.

Prediabetes Awareness and Practice Among Indian Doctors- A Cross-sectional Study

INTRODUCTION

Prediabetes is an intermediate state between diabetes and normoglycaemia, where the glucose levels are higher than normal but not significant to be diagnosed as diabetes mellitus. Guidelines from various associations suggest different types of management in this situation.

OBJECTIVE

To assess knowledge and attitude of the doctors regarding prediabetes using questionnaire.

MATERIALS AND METHODS

A cross-sectional questionnaire based study was conducted to assess the knowledge, attitude and practice among doctors regarding prediabetes treatment. One hundred twenty two (of 150) filled questionnaires were received from general practitioners, post graduates (PGs), physicians and super specialists in and around Kolar and Bangalore. Data was analysed using descriptive statistics and expressed as percentage.

RESULTS

A total of 81.3% responded to the questionnaire, of which 14 were general practitioners (MBBS), 48 PGs in General Medicine, 46 physicians (MD General Medicine), and 14 super specialists (DM). Knowledge response was 85.7% (definition - 100%, prevalence - 50.8%, approved drug- 45.2%, progression- 86.2%). Screening for prediabetes was done by 71% of the general practitioners and physicians, but specialists would screen all. 100% general practitioners, 97.9% post graduates, 91.3% of physicians and 64.2 % specialist preferred diet and exercise and rest of them opted for oral antidiabetic drug (OAD) along with diet and exercise, but none of the doctors considered OAD alone for prediabetes. Among OADs metformin (77.45%) was the most preferred followed by voglibose (20.6%) and sitagliptin (1.9%).

CONCLUSION

All doctors had awareness of prediabetes and most of them would regularly screen and treat prediabetes. Majority considered diet and exercise as first modality of treatment. The OAD opted commonly was metformin.