Short-term effects of goat milk yogurt-containing angiotensin-converting enzyme inhibitory peptides and two raisin varieties on subjective appetite, blood pressure and glycaemic responses in healthy adults. Results from a randomised clinical trial.

Goat milk yogurt (GMY) and raisins are popular foods with a favourable nutrient profile. Our aim was to determine the glycaemic index (GI) and postprandial responses to GMY-containing angiotensin-converting enzyme inhibitory (ACE-I) peptides carrying the RPKHPINHQ isracidin fragment and two Greek raisin varieties in an acute feeding setting. A total of twelve healthy participants (four male and eight female) consumed breakfast study foods containing 25 g available carbohydrate on seven occasions over a 3- to 9-week period: food 1: D-glucose (25 g) served as the control and was consumed on three separate occasions; food 2: GMY (617·28 g); food 3: Corinthian raisins (37·76 g); food 4: Sultana raisins (37·48 g) and food 5: GMY & C (308·64 g GMY and 18·88 g C). Postprandial glucose was measured over a 2 h period for the determination of GI and glycaemic load (GL). Subjective appetite ratings (hunger, fullness and desire to eat) were assessed by visual analogue scales (100 mm) at 0­120 min. Blood pressure (systolic and diastolic; BP) was measured at baseline and 120 min. GMY provided low GI (26), C and S provided high GI/low GL (75/10 and 70/9, respectively) and GMYC provided low GI (47) values on glucose scale compared with D-glucose. Peak blood glucose rise was significantly lower only for GMY and GMYC compared with reference food (D-Glucose), as well as C and S (Pfor all < 0·05). No differences were observed between test foods for fasting glucose, BP and subjective appetite. In conclusion, GMY and GMYC attenuated postprandial glycaemic responses, which may offer advantages to glycaemic control.

Plasma metabolomic response to high-carbohydrate meals of differing glycaemic load in overweight women.

BACKGROUND: Metabolomic dysregulation following a meal in overweight individuals with the Metabolic Syndrome (MetS) involves multiple pathways of nutrient storage and oxidation. OBJECTIVE: The aim of the current study was to perform an acute cross-over intervention to examine the interactive actions of meal glycaemic load (GL) on the dynamic responses of the plasma metabolome in overweight females. METHODS: Postmenopausal women [63 ± 1.23y; Healthy (n = 20) and MetS (n = 20)] ingested two differing high-carbohydrate test meals (73 g carbohydrate; 51% energy) composed of either low glycemic index (LGI) or high (HGI) foods in a randomised sequence. Plasma metabolome was analysed using liquid chromatography-mass spectrometry (LC-MS). RESULTS: In the overweight women with MetS, there were suppressed postprandial responses for several amino acids (AAs), including phenylalanine, leucine, valine, and tryptophan, p < 0.05), irrespective of the meal type. Meal GL exerted a limited impact on the overall metabolomic response, although the postprandial levels of alanine were higher with the low GL meal and uric acid was greater following the high GL meal (p < 0.05). CONCLUSIONS: MetS participants exhibited reduced differences in the concentrations of a small set of AAs and a limited group of metabolites implicated in energy metabolism following the meals. However, the manipulation of meal GL had minimal impact on the postprandial metabolome. This study suggests that the GL of a meal is not a major determinant of postprandial response, with a greater impact exerted by the metabolic health of the individual. Trial registration Australia New Zealand Clinical Trials Registry: ACTRN12615001108505 (21/10/2015).

Dietary glycemic index and glycemic load mediate the effect of CARTPT rs2239670 gene polymorphism on metabolic syndrome and metabolic risk factors among adults with obesity.

INTRODUCTION: The importance of genetic and dietary factors in occurrence and progression of chronic diseases such as metabolic syndrome (MetS) has been established. However, complex interrelationships, including direct and indirect effects of these variables are yet to be clarified. So, our aim was to investigate the mediating role of glycemic indices in the relationship between CARTPT rs2239670 polymorphism, socio-demographic and psychological factors and metabolic risk factors and the presence of MetS in adults with obesity. METHODS: In a cross-sectional study of 288 apparently healthy adults with obesity aged 20-50 years, dietary glycemic index (GI) and glycemic load (GL) were measured using a validated semi-quantitative food frequency questionnaire (FFQ). Biochemical parameters, blood pressure and anthropometric indicators were assayed by standard methods. Genotyping was carried out by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. Structural equation modeling (SEM) was used in the statistical analysis. RESULTS: CARTPT rs2239670 had a positive direct effect on MetS (B = 0.037 ± 0.022; P = 0.043) and, on the other hand, this variant was found to be indirectly associated with MetS presence through mediation of GI (B = 0.039 ± 0.017; P = 0.009). CARTPT was a significant predictor of both dietary GI and GL (B = 1.647 ± 0.080 and B = 3.339 ± 0.242, respectively). Additionally, glycemic indicators appeared to mediate the association of age and gender with LDL-C (B = 0.917 ± 0.332; P = 0.006) and HDL (B = 1.047 ± 0.484; P = 0.031), respectively. GI showed a positive relationship with LDL-C (P = 0.024) in men and similar relationships were found between GL and LDL-C (P = 0.050) and cholesterol (P = 0.022) levels in women. CONCLUSION: The SEM findings suggest a hypothesis of the mediating effect of glycemic indices in the relationship between genetic susceptibility to obesity and MetS presence. Our findings need to be confirmed with large prospective studies.

Determining the glycaemic responses of foods: conventional and emerging approaches.

A low-glycaemic diet is crucial for those with diabetes and cardiovascular diseases. Information on the glycaemic index (GI) of different ingredients can help in designing novel food products for such target groups. This is because of the intricate dependency of material source, composition, food structure and processing conditions, among other factors, on the glycaemic responses. Different approaches have been used to predict the GI of foods, and certain discrepancies exist because of factors such as inter-individual variation among human subjects. Besides other aspects, it is important to understand the mechanism of food digestion because an approach to predict GI must essentially mimic the complex processes in the human gastrointestinal tract. The focus of this work is to review the advances in various approaches for predicting the glycaemic responses to foods. This has been carried out by detailing conventional approaches, their merits and limitations, and the need to focus on emerging approaches. Given that no single approach can be generalised to all applications, the review emphasises the scope of deriving insights for improvements in methodologies. Reviewing the conventional and emerging approaches for the determination of GI in foods, this detailed work is intended to serve as a state-of-the-art resource for nutritionists who work on developing low-GI foods.

Acute effect of flaxseed-enriched snack bars on glycemic responses and satiety in healthy individuals.

BACKGROUND AND OBJECTIVES: The dietary glycemic index (GI) and glycemic load (GL) have garnered scholarly attention for their roles in weight management and glycemic control. Flaxseed is a good source of fiber, lignans, and omega-3 fatty acids. This study evaluated healthy individuals' acute glycemic response and satiety following the consumption of flaxseed-enriched snack bars. METHODS AND STUDY DESIGN: Nineteen healthy men and women consumed flaxseed bars or a glucose solution containing 50 g of available carbohydrates. Capillary blood glucose concentrations were obtained through the finger-prick test. The GI and GL values of the flaxseed bars were calculated using incremental area under the glucose response curve. Over 2 h, subjective satiety was examined at 0 (fasting), 15, 30, 45, 60, 90 and 120min following the consumption of flaxseed bars or saltine crackers containing 300 kcal by using a visual analogue scale (VAS). RESULTS: Compared with that of the glucose solution, the glucose concentrations of the flaxseed bars (15-90 min) were significantly lower (p<0.001). The GI and GL values of the flaxseed bars were 30.0±23.0 and 2.3±0.2, respectively. Compared with saltine cracker consumption, flaxseed bars consumption resulted in lower hunger and higher satiety. The satiety index score of the flaxseed bars was 1.6 times higher than that of the saltine crackers. CONCLUSIONS: Although further studies are warranted to evaluate the long-term effects of flaxseed-enriched snacks on glycemia and energy balance, our findings suggest that the incorporation of flaxseed into snack bars is a viable strategy for the management of obesity and diabetes.

The effect of 6-day subcutaneous glucose-dependent insulinotropic polypeptide infusion on time in glycaemic range in patients with type 1 diabetes: a randomised, double-blind, placebo-controlled crossover trial.

AIMS/HYPOTHESIS: Type 1 diabetes is characterised by reduced glucagon response to hypoglycaemia, increasing the risk of insulin treatment-associated hypoglycaemia known to hamper glycaemic control. We previously reported a glucagonotropic effect of exogenous glucose-dependent insulinotropic polypeptide (GIP) during insulin-induced hypoglycaemia in individuals with type 1 diabetes. Here we investigate the effect of a 6-day s.c. GIP infusion on time in glycaemic range as assessed by continuous glucose monitoring (CGM) in individuals with type 1 diabetes. METHODS: In a randomised, placebo-controlled, double-blind crossover study, time in glycaemic range (assessed by double-blinded CGM) was evaluated in 20 men with type 1 diabetes (18-75 years, stable insulin treatment ≥3 months, diabetes duration 2-15 years, fasting plasma C-peptide below 200 pmol/l, BMI 20-27 kg/m2, HbA1c <69 mmol/mol [8.5%]) during two × 6 days of continuous s.c. GIP (6 pmol kg-1 min-1) and placebo (saline [154 mmol/l NaCl]) infusion, respectively, with an interposed 7-day washout period. The primary outcome was glycaemic time below range, time in range and time above range. RESULTS: There were no significant differences in time below range (<3.9 mmol/l, p = 0.53) or above range (>10 mmol/l, p = 0.32) during night-time or daytime, in mean glucose, or in hypoglycaemic events as assessed by CGM. GIP altered neither self-reported hypoglycaemia nor safety measures. Compared with placebo, GIP significantly increased time in tight range (3.9-7.8 mmol/l) during daytime (06:00-23:59 hours) by [mean ± SEM] 11.2 ± 5.1% [95% CI 0.41, 21.9] (p = 0.02). CONCLUSIONS/INTERPRETATION: Six-day s.c. GIP infusion in men with type 1 diabetes did not procure convincing effect on overall time in range, but increased time in tight glycaemic range during daytime by ~2 h per day. TRIAL REGISTRATION: ClinicalTrials.gov NCT03734718. FUNDING: The study was funded by grants from The Leona M. and Harry B. Helmsley Charitable Trust and Aase og Ejnar Danielsens Fond.

The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes.

AIMS: Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein-rich, high-fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes. METHODS: A randomized, single-blind and crossover trial included 15 adolescents aged 14-18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high- and low-GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four-hour postprandial glycaemia was assessed by the continuous glucose monitoring system. RESULTS: Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (-57%, p = 0.02), incremental area under the curve (-65%, p = 0.02) and coefficient variation of blood glucose (-37%, p = 0.03) in the high-GI meal, though there was no difference between the two algorithms in the low-GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high-GI (p = 0.58) and low-GI (p = 0.20) meals. CONCLUSIONS: The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high-GI meals in adolescents with type 1 diabetes.

Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setting.

BACKGROUND: The risk of pancreatic cancer is elevated among people with new-onset diabetes (NOD). Based on Rochester Epidemiology Project Data, the Enriching New-Onset Diabetes for Pancreatic Cancer (END-PAC) model was developed and validated. AIMS: We validated the END-PAC model in a cohort of patients with NOD using retrospectively collected data from a large integrated health maintenance organization. METHODS: A retrospective cohort of patients between 50 and 84 years of age meeting the criteria for NOD in 2010-2014 was identified. Each patient was assigned a risk score (< 1: low risk; 1-2: intermediate risk; ≥ 3: high risk) based on the values of the predictors specified in the END-PAC model. Patients who developed pancreatic ductal adenocarcinoma (PDAC) within 3 years were identified using the Cancer Registry and California State Death files. Area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were estimated. RESULTS: Out of the 13,947 NOD patients who were assigned a risk score, 99 developed PDAC in 3 years (0.7%). Of the 3038 patients who had a high risk, 62 (2.0%) developed PDAC in 3 years. The risk increased to 3.0% in white patients with a high risk. The AUC was 0.75. At the 3+ threshold, the sensitivity, specificity, PPV, and NPV were 62.6%, 78.5%, 2.0%, and 99.7%, respectively. CONCLUSIONS: It is critical that prediction models are validated before they are implemented in various populations and clinical settings. More efforts are needed to develop screening strategies most appropriate for patients with NOD in real-world settings.

GLYCEMIC VARIABILITY IS ASSOCIATED WITH TREATMENT REQUIRING RETINOPATHY OF PREMATURITY: A Case-Control Study.

PURPOSE: To assess the association between glycemic variability (GV) and Type 1 retinopathy of prematurity (ROP) in infants with birth weights of less than 1,251 g. METHODS: A case-control study of infants with birth weights of less than 1,251 g who developed Type 1 ROP (n = 20) was conducted. Controls had a less severe ROP or no eye disease and were individually matched for gestational age and birth weight (n = 40). Odds ratios of ROP were calculated based on multiple factors including oxygen exposure, respiratory support, incidence of hyperglycemia, and GV. For glucose measurements, a continuous glucose monitoring system was used. RESULTS: There were no significant differences in gender, antenatal steroid administration, severity of illness, and Apgar score. Univariate analyses suggest increased risk for the development of Type 1 ROP based on incidence of intraventricular hemorrhage Grade 3 or 4 (P = 0.048), duration of oxygen exposure (P = 0.003), incidence of hyperglycemia over 150 mg/dL (P = 0.01), and GV according to significantly higher SD (P = 0.002), coefficient of variation (P = 0.001), and mean amplitude of glucose excursion (P = 0.008). Using a multiple regression model, increased risk of Type 1 ROP was only found to be associated with duration of oxygen exposure and higher GV. CONCLUSION: Our study demonstrates a relationship between GV and the development of severe ROP.

Copper, Iron, Selenium and Lipo-Glycemic Dysmetabolism in Alzheimer's Disease.

The aim of the present review is to discuss traditional hypotheses on the etiopathogenesis of Alzheimer's disease (AD), as well as the role of metabolic-syndrome-related mechanisms in AD development with a special focus on advanced glycation end-products (AGEs) and their role in metal-induced neurodegeneration in AD. Persistent hyperglycemia along with oxidative stress results in increased protein glycation and formation of AGEs. The latter were shown to possess a wide spectrum of neurotoxic effects including increased Aß generation and aggregation. In addition, AGE binding to receptor for AGE (RAGE) induces a variety of pathways contributing to neuroinflammation. The existing data also demonstrate that AGE toxicity seems to mediate the involvement of copper (Cu) and potentially other metals in AD pathogenesis. Specifically, Cu promotes AGE formation, AGE-Aß cross-linking and up-regulation of RAGE expression. Moreover, Aß glycation was shown to increase prooxidant effects of Cu through Fenton chemistry. Given the role of AGE and RAGE, as well as metal toxicity in AD pathogenesis, it is proposed that metal chelation and/or incretins may slow down oxidative damage. In addition, selenium (Se) compounds seem to attenuate the intracellular toxicity of the deranged tau and Aß, as well as inhibiting AGE accumulation and metal-induced neurotoxicity.

The Use of Iron-Enriched Yeast for the Production of Flatbread.

The most common cause of iron deficiency is an improperly balanced diet, in which the body's need for iron cannot be met by absorption of this element from food. Targeted iron supplementation and food fortification may be the main treatments for iron deficiency in the population. However, many iron-rich supplements and foods have low bioavailability of this element. In our study, we used yeast enriched with iron ions to produce flatbread. The yeast cells accumulated iron ions from the medium supplemented with Fe(NO3)3·9H2O, additionally one of the cultures was treated with pulsed electric field in order to increase the accumulation. The potential bioavailability of iron from flatbread containing 385.8 ± 4.12 mg of iron in 100 g dry mass was 10.83 ± 0.94%. All the flatbreads had a moderate glycemic index. There were no significant differences in antioxidant activity against DPPH• between flatbread with iron-enriched and non-iron-enriched yeast. Sensory evaluation showed that this product is acceptable to consumers since no metallic aftertaste was detected. Iron enriched flatbread can potentially be an alternative to dietary supplements in iron deficiency states.

Dietary glycaemic index, glycaemic load and head and neck cancer risk: a pooled analysis in an international consortium.

High dietary glycaemic index (GI) and glycaemic load (GL) may increase cancer risk. However, limited information was available on GI and/or GL and head and neck cancer (HNC) risk. We conducted a pooled analysis on 8 case-control studies (4081 HNC cases; 7407 controls) from the International Head and Neck Cancer Epidemiology (INHANCE) consortium. We estimated the odds ratios (ORs) and 95% confidence intervals (CIs) of HNC, and its subsites, from fixed- or mixed-effects logistic models including centre-specific quartiles of GI or GL. GI, but not GL, had a weak positive association with HNC (ORQ4 vs. Q1 = 1.16; 95% CI = 1.02-1.31). In subsites, we found a positive association between GI and laryngeal cancer (ORQ4 vs. Q1 = 1.60; 95% CI = 1.30-1.96) and an inverse association between GL and oropharyngeal cancer (ORQ4 vs. Q1 = 0.78; 95% CI = 0.63-0.97). This pooled analysis indicates a modest positive association between GI and HNC, mainly driven by laryngeal cancer.

Impact of diabetes mellitus on clinical outcomes in patients affected by Covid-19.

A possible association could exist between type 2 diabetes mellitus (T2DM) and Coronavirus-19 (Covid-19) infection. Indeed, patients with T2DM show high prevalence, severity of disease and mortality during Covid-19 infection. However, the rates of severe disease are significantly higher in patients with diabetes compared with non-diabetes (34.6% vs. 14.2%; p < 0.001). Similarly, T2DM patients have higher rates of need for Intensive Care Unit (ICU, 37.0% vs. 26.7%; p = 0.028). Thus, about the pneumonia of Covid-19, we might speculate that the complicated alveolar-capillary network of lungs could be targeted by T2DM micro-vascular damage. Therefore, T2DM patients frequently report respiratory symptoms and are at increased risk of several pulmonary diseases. In addition, pro-inflammatory pathways as that involving interleukin 6 (IL-6), could be a severity predictor of lung diseases. Therefore, it looks intuitive to speculate that this condition could explain the growing trend of cases, hospitalization and mortality for patients with T2DM during Covid-19 infection. To date, an ongoing experimental therapy with monoclonal antibody against the IL-6 receptor in Italy seems to have beneficial effects on severe lung disease and prognosis in patients with Covid-19 infection. Therefore, should patients with T2DM be treated with more attention to glycemic control and monoclonal antibody against the IL-6 receptor during the Covid-19 infection?

No improvement in quality of life in children with epilepsy treated with the low glycemic index diet.

BACKGROUND: Up to 30% of children with epilepsy show a poor therapeutic response to pharmacologic treatment. Ketogenic diets, including the less strict low glycemic index treatment (LGIT), may improve seizure control in pharmacoresistant epilepsy. However, little is known about the quality of life (QoL) in children on LGIT. To explore psychosocial implications of the LGIT on pediatric patients and their caregivers, we have conducted a pilot study to explore the QoL of children and adolescents on the diet. METHODS: Pediatric patients on LGIT and their parents completed standardized, validated QoL questionnaires (Pediatric Quality of Life Epilepsy Module), one retrospectively and one while being on LGIT. An additional questionnaire included two open-ended questions in order to gain a better understanding of personal experiences of families. RESULTS: We enrolled six patients with epilepsy on LGIT between the age of 3 and 13 years. Self-reported QoL decreased in all adolescents, regardless of improvement in seizure control. Parent-reported QoL improved in three of six participants, remained stable in one, and decreased in two patients (both displayed no seizure improvement). Parents and adolescents reported positive experiences of trying new foods and being more health conscious, as well as negative themes such as social isolation and meal preparation difficulties. CONCLUSIONS: The lack of improvement in patient-reported QoL points towards an overall negative impact of the LGIT on patient well-being, despite positive effects on seizure control. Our preliminary results indicate that the benefits of seizure control may subjectively be outweighed by adverse social effects of the LGIT. Families should be made aware of psychosocial risks of the diet. Whenever possible, children should be part of the therapeutic decision-making process. Larger prospective studies are required to fully assess the overall impact of the LGIT.

Involvement of a gut-retina axis in protection against dietary glycemia-induced age-related macular degeneration.

Age-related macular degeneration (AMD) is the major cause of blindness in developed nations. AMD is characterized by retinal pigmented epithelial (RPE) cell dysfunction and loss of photoreceptor cells. Epidemiologic studies indicate important contributions of dietary patterns to the risk for AMD, but the mechanisms relating diet to disease remain unclear. Here we investigate the effect on AMD of isocaloric diets that differ only in the type of dietary carbohydrate in a wild-type aged-mouse model. The consumption of a high-glycemia (HG) diet resulted in many AMD features (AMDf), including RPE hypopigmentation and atrophy, lipofuscin accumulation, and photoreceptor degeneration, whereas consumption of the lower-glycemia (LG) diet did not. Critically, switching from the HG to the LG diet late in life arrested or reversed AMDf. LG diets limited the accumulation of advanced glycation end products, long-chain polyunsaturated lipids, and their peroxidation end-products and increased C3-carnitine in retina, plasma, or urine. Untargeted metabolomics revealed microbial cometabolites, particularly serotonin, as protective against AMDf. Gut microbiota were responsive to diet, and we identified microbiota in the Clostridiales order as being associated with AMDf and the HG diet, whereas protection from AMDf was associated with the Bacteroidales order and the LG diet. Network analysis revealed a nexus of metabolites and microbiota that appear to act within a gut-retina axis to protect against diet- and age-induced AMDf. The findings indicate a functional interaction between dietary carbohydrates, the metabolome, including microbial cometabolites, and AMDf. Our studies suggest a simple dietary intervention that may be useful in patients to arrest AMD.

Assessment of the glycemic index of groats available on the Polish food market

Background: Glycemic index (GI) and glycemic load (GL) are often used to assess diet quality in relation to the risk of diabetes, cardiovascular diseases and cancer development. Taking into account differences in nutritional value of food products in different countries it is often suggested to used national databases to assess dietary intake in different populations. Objective: To assess the glycemic index and glycemic load of the selected groats available on the Polish food market. Material and methods: GI of the following groats available on the Polish food market was assessed: couscous, buckwheat (roasted) groats, millet groats, spelt groats, barley (hulled) groats and bulgur groats. The GI was assessed as the incremental area under the blood glucose response curve of a 50g carbohydrate portion of a test food expressed as a percent of the response to the same amount of carbohydrate from a standard food taken by the same subject. GL was calculated for the 100 g of the cooked product. Results: The lowest GI was found for buckwheat (34.7±8.2%) and barley (31.3±13.4%) groats. The GL for these groats was 8.1±1.9 and 8.0±3.4, respectively. The GI for millet, spelt and bulgur groats amounted to 56.2±20.6%, 69.8±35.0%, 64.5±36.8%, respectively, while for couscous amounted to 99.0± 36.0%. The highest GL was observed for couscous (24.7±9.0). Conclusions: The groats tested in this study can be classified as follows: barley and buckwheat as a low GI food, millet and bulgur as a medium GI food, spelt and couscous as a high GI food. Buckwheat and barley groats should be chosen the most often among these products, while the intake of couscous should be limited especially by people with diabetes.

The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.

BACKGROUND: Empirical evidence on how health literacy affects diabetes outcomes is inconsistent. The purpose of this meta-analysis was to quantitatively summarize the findings on the associations between health literacy and diabetes knowledge, self-care activities, and glycemic control as disease-related outcomes, with specific focus on the type of health literacy assessment. DATA SOURCES: Nine databases (MEDLINE, CINAHL, Communication and Mass Media Complete, PsychInfo, PsychArticles, Psychology and Behavioral Sciences Collection, ERIC, Sociology, Embase) were searched for peer-reviewed original research articles published until 31 March 2018. METHODS: Studies with type 1 and/or type 2 diabetes patients aged 18 or older, providing a calculable baseline effect size for functional health literacy and diabetes knowledge, self-care activities, or HbA1C were included. RESULTS: The meta-analysis includes 61 studies with a total of 18,905 patients. The majority were conducted in the USA, on type 2 diabetes patients, and used the S-TOFHLA as a performance-based or the BHLS as a perception-based measure of functional health literacy. Meta-analytic results show that all three outcomes are related to health literacy. Diabetes knowledge was best predicted by performance-based health literacy measures, self-care by self-report measures, and glycemic control equally by both types of health literacy assessment. DISCUSSION: Health literacy plays a substantial role in diabetes knowledge. Findings for the role of health literacy in self-care and glycemic control remain heterogeneous, partly due to the type of health literacy assessment (performance- vs. perception-based). This has implications for the use of health literacy measures in clinical settings and original research. This meta-analysis was limited to functional health literacy and, due to the paucity of studies, did not investigate the role of other dimensions including communicative and critical health literacy.

Differential Impact of Food Insecurity, Distress, and Stress on Self-care Behaviors and Glycemic Control Using Path Analysis.

BACKGROUND: The aim of this study was to investigate the direct and indirect pathways through which food insecurity influences glycemic control and self-care behaviors. METHODS: Using data collected from 615 adults with type 2 diabetes, we investigated pathways between food insecurity and diabetes outcomes using path analysis. We included measures of perceived stress, diabetes distress, diabetes fatalism, and depression as psychosocial factors in the pathway. Self-care behaviors included general diet, specific diet, exercise, blood sugar testing, foot care, and medication adherence. Analyses were conducted using Stata v14, to include both direct and indirect effects, with standardized estimates to allow comparison of paths. RESULTS: Food insecurity was directly associated with stress (r = 0.43, p < 0.001), depression (r = 0.34, p < 0.001), fatalism (r = 0.09, p = 0.03), and distress (r = 0.36, p < 0.001). The type of stress, however, was differentially associated with outcomes, with distress associated with HbA1c (r = 0.25, p < 0.001), general and specific diet (r = - 0.28 and - 0.17, respectively, p = 0.001), and medication adherence (r = - 0.26, p < 0.001), while stress was associated with specific diet (r = - 0.14, p = 0.005) and medication adherence (r = - 0.15, p < 0.001) and depression was associated with exercise (r = - 0.06, p = 0.007). Food insecurity was indirectly associated with HbA1c (r = 0.08, p = 0.001), and four self-care behaviors (general diet, specific diet, exercise, and medication adherence). CONCLUSIONS: Food insecurity influences self-care behaviors indirectly via multiple psychosocial factors, and glycemic control indirectly through diabetes distress, supporting the hypothesis that stress is an important mechanism. Programs to improve access to resources and manage psychosocial concerns should be combined with food-based programs for food insecure populations with diabetes.

Maternal Dietary Glycemic and Insulinemic Indexes Are Not Associated with Birth Outcomes or Childhood Adiposity at 5 Years of Age in an Irish Cohort Study.

BACKGROUND: High maternal dietary glycemic index (GI) and glycemic load (GL) may be associated with adverse offspring birth and postnatal adiposity outcomes through metabolic programming, but the evidence thus far, mainly from studies conducted in high-risk pregnant populations, has been inconclusive. No study has examined the influence of maternal insulin demand [measured by food insulinemic index (II) and insulinemic load (IL)] on offspring outcomes. OBJECTIVES: We investigated associations between maternal GI, GL, II, and IL and offspring birth outcomes and postnatal adiposity in a general pregnant population. METHODS: The study was based on data from 842 mother-child pairs from the Lifeways prospective cohort study in Ireland. Through the use of standard methodology, maternal GI, GL, II, and IL were derived from dietary information obtained via a validated food-frequency questionnaire in early pregnancy (12-16 wk). Birth outcomes were abstracted from hospital records. At 5-y follow-up, children's body mass index (BMI) and waist circumference were measured. Associations were assessed through the use of multivariable-adjusted regression analysis. RESULTS: Mothers had a mean ± SD age of 30.3 ± 5.7 y and a mean BMI (kg/m2) of 23.9 ± 4.2. The mean ± SD for dietary glycemic and insulinemic indexes were: GI = 58.9 ± 4.4; GL = 152 ± 49; II = 57.4 ± 14.5; IL = 673 ± 267. After adjustment for confounders, no consistent associations were observed between maternal GI, GL, II, and IL and birth outcomes including birth weight, macrosomia, gestational age, and postterm births. Similarly, no association was observed with BMI and waist circumference z scores and childhood obesity (general and central) at 5-y follow-up. There was no evidence of a nonlinear relation between the studied indexes and outcomes. CONCLUSIONS: We observed no clear relation between maternal GI, GL, II, and IL and offspring birth outcomes and childhood obesity in a general pregnant population.

Does food insulin index in the context of mixed meals affect postprandial metabolic responses and appetite in obese adolescents with insulin resistance? A randomised cross-over trial.

The food insulin index (II) is a novel classification to rank foods based on their physiological insulin demand relative to an isoenergetic reference food and may be a valid predictor of postprandial insulin responses and appetite. The present study aimed to compare the postprandial metabolic responses and appetite sensations to two macronutrient- and glycaemic index-matched meals with either high or low II in obese adolescents with insulin resistance (IR). A randomised, single-blind and cross-over trial included fifteen obese adolescents aged 12-18 years with IR. All participants were provided with two different breakfasts: low glycaemic index, low insulin index (LGI-LII) and low glycaemic index, high insulin index (LGI-HII), with a 1-week washout period between meals. At time 0 (just before breakfast), 15, 30, 45, 60, 90, 120, 180 and 240 min after the meal, serum glucose, insulin and C-peptide levels and appetite scores were measured. At the end of 4 h, participants were served ad libitum lunch. Early (0-30 min), late (45-240 min) and total (0-240 min) postprandial insulin responses were lowered by 56·1, 34·6 and 35·6 % after the LGI-LII meal v. LGI-HII meal (P < 0·05). The feeling of hunger was also decreased by 25·8 and 27·5 % after the LGI-LII meal v. LGI-HII meal during the late and total responses (P < 0·05). The calculation II of meals or diets may be a useful dietary approach to reduce postprandial hyperinsulinaemia and the perceived hunger in obese adolescents with IR.