The influence of liberal alcohol consumption on glucose metabolism in patients with type 1 diabetes: a pilot study

The management of type 1 diabetes in adults. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycaemia, behavioural considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that healthcare professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors. Graphical abstract.

The Management of Type 1 Diabetes in Adults. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycemia, behavioral considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management, and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that health care professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors.

Effect of meal composition and alcohol consumption on postprandial glucose concentration in subjects with type 1 diabetes: a randomized crossover trial

INTRODUCTION

Meal composition is known to affect glycemic variability and glucose control in type 1 diabetes. The objective of this work was to evaluate the effect of high carbohydrate meals of different nutritional composition and alcohol on the postprandial glucose response in patients with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Twelve participants were recruited to this randomized crossover trial. Following a 4-week run-in period, participants received a mixed meal on three occasions with the same carbohydrate content but different macronutrient composition: high protein-high fat with alcohol (0.7g/kg body weight, beer), high protein-high fat without alcohol, and low protein-low fat without alcohol at 2-week intervals. Plasma and interstitial glucose, insulin, glucagon, growth hormone, cortisol, alcohol, free fatty acids, lactate, and pH concentrations were measured during 6 hours. A statistical analysis was then carried out to determine significant differences between studies.

RESULTS

Significantly higher late postprandial glucose was observed in studies with higher content of fats and proteins (p=0.0088). This was associated with lower time in hypoglycemia as compared with the low protein and fat study (p=0.0179), at least partially due to greater glucagon concentration in the same period (p=0.04). Alcohol significantly increased lactate, decreased pH and growth hormone, and maintained free fatty acids suppressed during the late postprandial phase (p<0.001), without significant changes in plasma glucose.

CONCLUSIONS

Our data suggest that the addition of proteins and fats to carbohydrates increases late postprandial blood glucose. Moreover, alcohol consumption together with a mixed meal has relevant metabolic effects without any increase in the risk of hypoglycemia, at least 6 hours postprandially.

TRIAL REGISTRATION NUMBER

NCT03320993.

Alcohol Use and Clinical Outcomes in Adults in the Type 1 Diabetes Exchange

OBJECTIVES

Alcohol consumption has serious potential consequences for persons with type 1 diabetes. This cross-sectional study examined associations between drinking status and diabetes-related outcomes.

METHODS

Participants included 934 adults at Type 1 Diabetes Exchange Registry clinics who responded to an e-mail invitation to complete an electronic survey with items on alcohol consumption; glycated hemoglobin (A1C) and body mass index (BMI) were extracted from medical charts. Participants were an average 38±16 years of age, 61% were women and 90% were non-Hispanic white; A1C was 7.8%±1.5%. The sample was made up of 11% (n=103) never drinkers, 9% (n=89) former drinkers, 61% (n=567) current (past year) nonbinge drinkers and 19% (n=174) current binge drinkers.

RESULTS

After controlling for covariates, diabetes distress was lower among never drinkers compared with former and nonbinge drinkers (p<0.009). Never drinkers compared with former drinkers had lower odds of past-year severe hypoglycemia (p=0.001) and lower odds of a neuropathy diagnoses (p=0.006). There were omnibus model trends toward associations between drinking status and diabetes self-care (p=0.10) and between drinking status and BMI (p=0.06). Never drinkers did not differ from other groups on daily frequency of blood glucose self-monitoring, A1C or past-year diabetic ketoacidosis (p>0.05).

CONCLUSIONS

These results suggest complex relationships between drinking and diabetes-related distress, and that recent severe hypoglycemia and the presence of neuropathy may motivate some to stop drinking. Prospective studies may improve understanding of these findings.

Does a rise in BMI cause an increased risk of diabetes?: Evidence from India

BACKGROUND

Overnutrition increases the risk of diabetes. Evidence on the causal impact of overnutrition on diabetes is scarce for India. Considering a representative sample from India, this study examines the causal effect of a rise in the Body Mass Index (BMI) of an individual on the likelihood of being diabetic while addressing the issue of unobserved endogeneity between overnutrition and diabetes.

METHODS

The study considers individual level data from Demographic and Health Surveys (DHS) of India, namely, National Family Health Survey (NFHS) for the year 2015-16. The NFHS is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The survey covers females having age 15-49 years and males having age 15-54 years. The instrument variable approach is used to address the potential endogeneity in the relationship between BMI and diabetes. We instrument BMI of an individual by BMI of a non-biologically related household member. Ordered Probit, Probit and IV-Probit models are estimated using two alternative definitions for measuring diabetes-self-reported diabetes status and blood glucose levels (ordinal measure).

RESULTS

The coefficients obtained from the Ordered Probit and Probit models are much smaller than those estimated by an IV-Probit model. The latter estimates the causal impact of a rise in BMI on diabetes by taking into account the effect of the unobserved genetic and other related factors. The likelihood of being diabetic is twice or more among the overweight and obese individuals as compared to non-overweight individuals in all the specifications. With a unit increase in BMI the probability of being diabetic increases by about 1.5% among overweight and obese individuals and by 0.5% among the non-overweight individuals in the IV-Probit model. Similar results from the Ordered Probit model show that on average, the overweight and obese individuals experience about 0.2% increase in the probability of being diabetic and about 0.4% increase in the probability of being prediabetic.

CONCLUSION

Our study demonstrates that the likelihood of being both prediabetic and diabetic is higher among the overweight and obese individuals as compared to the non-overweight individuals. We also find that the level of risk of being prediabetic or diabetic differs across gender, wealth quintiles and regions and the effects are more severe among population in the urban areas, belonging to the richest wealth quintile and men. Our findings have significant implications for the policy formulation as diabetes has a substantial health and economic burden associated with it. Future studies may investigate the effect of abdominal obesity on diabetes.

Alcohol consumption patterns in young adults with type 1 diabetes: The SEARCH for diabetes in youth study

AIMS

The objective of this study is to describe alcohol consumption behaviors of young adults with T1D and to examine associations between alcohol consumption and diabetes-related clinical markers.

METHODS

Data from 602 SEARCH for Diabetes in Youth Study participants age ≥ 18 yrs. with T1D were collected from 12/2011 to 6/2015 (50% female, mean age 21.3(SD 2.4), 22% race/ethnic minority). Participants were characterized as alcohol non-drinkers (n = 269), drinkers but non-binge drinkers (n = 167), or binge drinkers (n = 166) based on reported consumption in the past 30 days. Analyses were conducted using one-way ANOVAs, chi-square tests, and logistic regression modeling to examine associations between drinking and clinical markers.

RESULTS

Fifty-five percent of participants reported alcohol consumption; 27.6% of participants reported binge drinking. After adjusting for demographic characteristics, neither binge drinking nor non-binge drinking were associated with HbA1c or severe hypoglycemic events relative to non-drinkers. Binge drinking was associated with higher HDL (p = 0.008), lower systolic blood pressure (p = 0.011), and a lower waist:height ratio compared to non-drinkers (p = 0.013).

CONCLUSIONS

Young adults with T1D in the SEARCH cohort reported similar alcohol use but higher rates of binge drinking compared to the general United States population and previously reported rates in adults with T1D.

Effects of Preceding Ethanol Intake on Glucose Response to Low-Dose Glucagon in Individuals With Type 1 Diabetes: A Randomized, Placebo-Controlled, Crossover Study

OBJECTIVE

This study investigated whether preceding ethanol intake impairs glucose response to low-dose glucagon in individuals with type 1 diabetes.

RESEARCH DESIGN AND METHODS

This was a randomized, crossover, placebo-controlled study in 12 insulin pump-treated individuals (median [interquartile range] age, 37 [31-51] years; HbA_1c, 57 [51-59] mmol/mol or 7.3% [6.8-7.5]; and BMI, 23.9 [22-25] kg/m²). During two overnight study visits, a 6 p.m. dinner (1 g carbohydrates/kg) was served with diet drink (placebo) or diet drink and ethanol (0.8 g/kg). After 8-9 h, ethanol was estimated to be metabolized, and a subcutaneous (s.c.) insulin bolus was given to induce mild hypoglycemia. When plasma glucose (PG) was ≤3.9 mmol/L, 100 µg glucagon was given s.c., followed by another s.c. 100 µg glucagon 2 h later. Primary end point was incremental peak PG induced by the first glucagon bolus.

RESULTS

Ethanol was undetectable before insulin administration at both visits. The insulin doses (mean ± SEM: 2.5 ± 0.4 vs. 2.7 ± 0.4 IU) to induce hypoglycemia (3.7 ± 0.1 vs. 3.9 ± 0.1 mmol/L) did not differ and caused similar insulin levels (28.3 ± 4.6 vs. 26.1 ± 4.0 mU/L) before glucagon administration on ethanol and placebo visits (all, P > 0.05). The first glucagon bolus tended to cause lower incremental peak PG (2.0 ± 0.5 vs. 2.9 ± 0.3 mmol/L, P = 0.06), lower incremental area under the curve (87 ± 40 vs. 191 ± 37 mmol/L × min, P = 0.08), and lower 2-h PG level (3.6 ± 1.0 vs. 4.8 ± 0.4 mmol/L, P = 0.05) after ethanol compared with placebo. The second glucagon bolus had similar responses between visits, but PG remained 1.8 ± 0.7 mmol/L lower after ethanol compared with placebo.

CONCLUSIONS

The ability of low-dose glucagon to treat mild hypoglycemia persisted with preceding ethanol intake, although it tended to be attenuated.

Effects of alcohol on plasma glucose and prevention of alcohol-induced hypoglycemia in type 1 diabetes-A systematic review with GRADE

Because ethanol is thought to be a risk factor for severe hypoglycemia, patients with type 1 diabetes (T1D) are recommended to limit ethanol intake. However, little is known on how ethanol affects plasma glucose and how ethanol-induced hypoglycemia can be prevented. In this study, we systematically reviewed the literature for ethanol effects on plasma glucose and for prevention strategies on ethanol-induced hypoglycemia. Electronic searches on PubMed and Google were conducted in February 2017. Randomized clinical trials and observational studies were included. Studies involved patients with T1D with no history of ethanol abuse. The primary aims were changes in plasma glucose after ethanol intake and prevention strategies for ethanol-induced hypoglycemia. Quality of the studies was assessed by GRADE. Additionally, we searched for guidelines from diabetes associations on their suggested prevention strategies. We included 13 studies. Eight studies reported that ethanol, regardless of administration intravenously or orally, were associated with an increased risk of hypoglycemia due to decrease in plasma glucose, impaired counter-regulatory response, awareness of hypoglycemia, and cognitive function. Five studies did not report an increased risk of hypoglycemia. None of the studies investigated prevention strategies for ethanol-induced hypoglycemia. Recommendations from 13 diabetes associations were included. All associations recommend that ethanol should only be consumed with food intake. The majority of included studies showed that ethanol intake increased the risk of hypoglycemia in patients with T1D. However, the evidence for how to prevent ethanol-induced hypoglycemia is sparse, and further investigations are needed to establish evidence-based recommendations.

Self-reported regular alcohol consumption in adolescents and emerging adults with type 1 diabetes: A neglected risk factor for diabetic ketoacidosis? Multicenter analysis of 29 630 patients from the DPV registry

BACKGROUND

The risk of hypoglycemia increases after alcohol consumption in patients with type 1 diabetes. This study aimed to investigate the association between metabolic control and self-reported alcohol consumption in young patients with type 1 diabetes.

MATERIALS AND METHODS

N = 29 630 patients with type 1 diabetes aged 12 to <30 years (median age 17.0 [14.9, 18.3] years, duration of diabetes 6.8 [3.3, 10.9] years, 53% male) from the German/Austrian DPV registry were analyzed. Patients were categorized into abstainers, low-risk drinkers, and at-risk drinkers. BMI, HbA1c, and rates of severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) were compared between alcohol consumption groups using multivariable hierarchical regression models. The association between alcohol use and smoking status was assessed using χ ² test.

RESULTS

Overall, 10.8% of the patients reported regular alcohol consumption. Proportion of alcohol use as well as the amount of alcohol consumed increased with age and were higher in males than in females (all P < .05). Patients with Turkish migration background reported less alcohol consumption. HbA1c, SH rate, and DKA rate (adjusted for age, gender, duration of diabetes, therapy) were significantly lower in abstainers than in patients drinking alcohol (all P < .05). Smoking status was significantly associated with alcohol consumption (P < .001).

CONCLUSION

Self-reported alcohol consumption is likely to be underreported when collected in face-to-face settings such as doctors' visits. Nevertheless, our data revealed a significant association between higher alcohol consumption and worse glycemic control, in particular higher DKA rates. Information about alcohol-induced complications is of great importance in diabetes education in young people with type 1 diabetes.

Alcohol and recreational drug use in young adults with type 1 diabetes

Alcohol and other recreational drug use reaches peak prevalence in young adulthood, including for those with chronic medical conditions such as type 1 diabetes. This review summarises the current literature on the patterns of substance use amongst young adults with type 1 diabetes and the mechanisms through which alcohol and recreational drugs may affect diabetes related health outcomes. These include the direct physical effect of intoxication, as well as the effects of alcohol and drugs on mental health and glucose metabolism. Evidence for increased associated mortality and morbidity is also presented, and current guidelines, management strategies and directions for further research are discussed.

Alcohol Use in Young Adults With Type 1 Diabetes Mellitus

Although fewer individuals with type 1 diabetes mellitus (T1DM) drink alcohol, the potential and severity of harm associated with its consumption is higher in persons with diabetes. Alcohol use affects glucose metabolism and results in various potential adverse effects both from acute ingestion and chronic ingestion in persons with T1DM. The purpose of this article is to describe the effects of alcohol on glucose metabolism and diabetes control in persons with T1DM and propose counseling pearls for providers working with patients in this population.

Short- and medium-term effects of light to moderate alcohol intake on glycaemic control in diabetes mellitus: a systematic review and meta-analysis of randomized trials

BACKGROUND

People with diabetes are told that drinking alcohol may increase their risk of hypoglycaemia.

AIMS

To report the effects of alcohol consumption on glycaemic control in people with diabetes mellitus.

METHODS

Medline, EMBASE and the Cochrane Library databases were searched in 2015 to identify randomized trials that compared alcohol consumption with no alcohol use, reporting glycaemic control in people with diabetes. Data on blood glucose, HbA_1c and numbers of hypoglycaemic episodes were pooled using random effects meta-analysis.

RESULTS

Pooled data from nine short-term studies showed no difference in blood glucose concentrations between those who drank alcohol in doses of 16-80 g (median 20 g, 2.5 units) compared with those who did not drink alcohol at 0.5, 2, 4 and 24 h after alcohol consumption. Pooled data from five medium-term studies showed that there was no difference in blood glucose or HbA_1c concentrations at the end of the study between those who drank 11-18 g alcohol/day (median 13 g/day, 1.5 units/day) for 4-104 weeks and those who did not. We found no evidence of a difference in number of hypoglycaemic episodes or in withdrawal rates between randomized groups.

CONCLUSIONS

Studies to date have not provided evidence that drinking light to moderate amounts of alcohol, with or without a meal, affects any measure of glycaemic control in people with Type 2 diabetes. These results suggest that current advice that people with diabetes do not need to refrain from drinking moderate quantities of alcohol does not need to be changed; risks to those with Type 1 diabetes remain uncertain.

Effect of flavonoids on circulating levels of TNF-α and IL-6 in humans: a systematic review and meta-analysis

Epidemiological or in vitro evidence suggests a potential role for flavonoids as anti-inflammatory agents; we investigated the effect of flavonoids-rich foods or supplements on tumor necrosis factor- alpha (TNF-α) and interleukin-6 (IL-6) in long-term placebo-controlled human intervention trials. From 110 human intervention studies selected (MEDLINE, EMBASE, CHORANE, and FSTA databases), 32 long-term placebo-controlled trials were suitable for meta-analysis. After sensitivity analysis, seven studies imputed of bias were excluded and 25 studies were analyzed (TNF-α, n = 2404; IL-6, n = 2174). Levels of TNF-α decreased after flavonoid consumption in the fixed model only (mean difference (MD) (95% CI): -0.098 (-0.188, -0.009), p = 0.032), but metaregression results showed that neither higher dose, nor a longer duration of intervention were associated with a greater effect size. Subgroup analysis did not reveal any significant effect for quercetin and soy, but other sources (red wine, pomegranate, and tea extracts) showed a significant effect size both in fixed (MD (95% CI): TNF-α -0.449 (-0.619, -0.280), p < 0.001; IL-6 -0.346 (-0.612, -0.079), p = 0.011) and random (MD (95% CI): TNF-α -0.783 (-1.476, -0.090), p = 0.027; IL-6, -0.556 (-1.062, -0.050), p = 0.031) effect models. High-quality placebo-controlled trials are needed in order to identify flavonoids as the active ingredients.