Effect of Wholegrain Flour Particle Size in Bread on Glycaemic and Insulinaemic Response among People with Risk Factors for Type 2 Diabetes: A Randomised Crossover Trial

Wholegrain flour produced by roller-milling is predominantly comprised of fine particles, while stoneground flour tends to have a comparatively smaller proportion of fine particles. Differences in flour particle size distribution can affect postprandial glycaemia in people with type 2 diabetes and postprandial insulinaemia in people with and without type 2 diabetes. No prior studies have investigated the effect of wholegrain flour particle size distribution on glycaemic or insulinaemic response among people with impaired glucose tolerance or risk factors for type 2 diabetes. In a randomised crossover study, we tested the 180-min acute glycaemic and insulinaemic responses to three wholegrain breads differing in flour particle size and milling method: (1) fine roller-milled flour, (2) fine stoneground flour, and (3) coarse stoneground flour. Participants (n = 23) were males and females with risk factors for type 2 diabetes (age 55–75 y, BMI >28 kg/m², completing less than 150 min moderate to vigorous intensity activity per week). Each test meal provided 50 g available carbohydrate, and test foods were matched for energy and macronutrients. There was no significant difference in blood glucose iAUC (incremental area under the curve) between the coarse stoneground flour bread and the fine stoneground flour bread (mean difference −20.8 (95% CI: −51.5, 10.0) mmol·min/L) and between the coarse stoneground flour bread and the fine roller-milled flour bread (mean difference −23.3 (95% CI: −57.6, 11.0) mmol·min/L). The mean difference in insulin iAUC for fine stoneground flour bread compared with the fine roller-milled flour bread was −6.9% (95% CI: −20.5%, 9.2%) and compared with the coarse stoneground flour bread was 9.9% (95% CI: −2.6%, 23.9%). There was no evidence of an effect of flour particle size on postprandial glycaemia and insulinaemia among older people with risk factors for type 2 diabetes, most of whom were normoglycaemic.     

The Effect of a Low Glycaemic Index Breakfast on Blood Glucose,Insulin, Lipid Profiles,Blood Pressure,Body Weight,Body Composition and Satiety in Obese and Overweight Individuals: A Pilot Study

Background: Low glycaemic index (GI) carbohydrates have been shown to have favourable effects on blood glucose, lipid profiles and satiety in individuals with chronic disease. However, modifying GI for the entire diet may be too complicated for an average individual without professional support. This study aims to investigate the health benefits of changing the GI index of a single meal a day, a more achievable goal.

Objective: The objective of this study was to investigate whether altering the GI of one meal/day (breakfast meal only) for 21 days in obese individuals would have a favourable effect on fasting serum glucose, low density lipoproteins, high density lipoproteins, insulin and triglycerides.

Design: A randomised, crossover design was used to compare the effects of a high GI with a low GI breakfast replacement meal. The macronutrient compositions of the breakfasts were matched. The subjects, 16 women and 5 men, who were overweight or obese, were randomly allocated to two intervention periods of 21 days each separated by a washout interval of 21 days. Subjects were seen at the beginning (baseline) and end of each intervention period (final).

Results: The change in fasting glucose (baseline versus final data) during the Low GI period was significantly lower (p < 0.05) from that during the High GI period). Fasting triglycerides, insulin and fasting total, HDL LDL cholesterol were unaffected by the daily changes in the type of breakfast. The change in satiety ratings before lunch (baseline versus final) during the Low GI period was slightly higher from that during the High GI period.

Conclusion: Results of this study show beneficial changes in fasting glucose and satiety by modifying the GI of a single meal per day, suggesting such modifications could potentially be a useful public health recommendation.     

The Food Environments of Fruit and Vegetable Consumption in East and Southeast Asia: A Systematic Review

Fruit and vegetable (FV) consumption benefits the health of populations. This can be especially the case in locations which have undergone significant changes in their food environments, such as East and Southeast Asian countries. This current systematic review is the first to study the food environments—facilitators, barriers, and moderators—associated with FV consumption in East and Southeast Asia. We consulted five electronic academic databases of English peer-reviewed papers published between 2010 and 2020 and found 31 studies. Results of these studies show that individuals strongly perceive FVs as being high-quality and safe, and having trust in their benefits. Food businesses with modernized systems have significantly fostered the consumption of FVs. A main barrier to FV consumption, however, is financial concerns, exacerbated by food businesses with FV unavailability and urbanization-induced FV price inflation and dietary patterns. Demographics and shopping patterns further hinder FV consumption. The fragmented and conditionalized findings of the 31 studies require standardized FV consumption measurements. Unlike the impact of FV consumption determinants and their interactions in Western countries, those in Asia, particularly countries other than China, have been substantially understudied. Therefore, as the research gaps in studies of food environments and FV consumption in East and Southeast Asia urgently demand scholarly attention, this paper proposes recommendations that favour the consumption of FVs.     

Comparing the Fasting and Random-Fed Metabolome Response to an Oral Glucose Tolerance Test in Children and Adolescents: Implications of Sex,Obesity, and Insulin Resistance

As the incidence of obesity and type 2 diabetes (T2D) is occurring at a younger age, studying adolescent nutrient metabolism can provide insights on the development of T2D. Metabolic challenges, including an oral glucose tolerance test (OGTT) can assess the effects of perturbations in nutrient metabolism. Here, we present alterations in the global metabolome in response to an OGTT, classifying the influence of obesity and insulin resistance (IR) in adolescents that arrived at the clinic fasted and in a random-fed state. Participants were recruited as lean (n = 55, aged 8–17 years, BMI percentile 5–85%) and overweight and obese (OVOB, n = 228, aged 8–17 years, BMI percentile ≥ 85%). Untargeted metabolomics profiled 246 annotated metabolites in plasma at t0 and t60 min during the OGTT. Our results suggest that obesity and IR influence the switch from fatty acid (FA) to glucose oxidation in response to the OGTT. Obesity was associated with a blunted decline of acylcarnitines and fatty acid oxidation intermediates. In females, metabolites from the Fasted and Random-Fed OGTT were associated with HOMA-IR, including diacylglycerols, leucine/isoleucine, acylcarnitines, and phosphocholines. Our results indicate that at an early age, obesity and IR may influence the metabolome dynamics in response to a glucose challenge.     

Development and Evaluation of a Diet Quality Index for Preschool-Aged Children in an Asian population: The Growing Up in Singapore Towards Healthy Outcomes cohort

BackgroundDiet quality indexes are useful tools to measure diet quality because they compare dietary intakes against recommendations. A dietary quality index for Asian preschool-aged children is lacking.ObjectiveThe aims of this study were to develop and evaluate a dietary quality index for preschool-aged children (ie, the DQI-5) based on Singapore dietary recommendations and to examine diet quality in a cohort of 5-year-old children. An additional aim was to assess associations between sociodemographic characteristics and DQI-5 scores.DesignA secondary analysis was conducted using dietary intake of children from the Growing Up in Singapore Towards healthy Outcomes mother–offspring cohort assessed in 2015-2016 using a validated food frequency questionnaire. The sociodemographic data were assessed at recruitment between June 2009 and September 2010. The DQI-5 was evaluated using a construct validity approach, whereby nutrition parameters associated with diet quality were studied.Participants and settingParticipants were 767 Singaporean children aged 5 years of Chinese, Malay, or Indian ethnicity.Main outcome measuresThe main outcome measures were the DQI-5 scores and the sociodemographic characteristics associated with diet quality.Statistical analyses performedKruskal-Wallis tests were used to evaluate differences in adherence to dietary recommendations across DQI-5 tertiles. Linear multiple regression analysis was performed to identify sociodemographic characteristics that were associated with diet quality in the children.ResultsThe DQI-5 consists of 12 food and nutrient components, with a minimum score of zero and a maximum score of 110 points. The higher scores indicate a healthier diet, the mean ± SD DQI-5 score for the children was 61.6 ± 13.2. DQI-5 components with low scores included whole grains, vegetables, and fatty acid ratio, whereas total rice and alternatives and milk and dairy products components were overconsumed by 18% and 24.4% of children, respectively. Children with higher scores were more likely to meet dietary recommendations and had higher intake of nutrients such as dietary fiber, iron, vitamin A, and beta carotene. Children whose mothers were of Malay ethnicity and whose mothers had low income, an education below university, and shared primary caregiver responsibilities were more likely to have lower DQI-5 scores.ConclusionsThe DQI-5 scores revealed diets to be low for several components and excessive for a few. The DQI-5 developed for preschool-aged children in Singapore had adequate construct validity.     

The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16

Background: Hybrid nutrient density scores are based on both nutrients and selected food groups. Objective: To compare the new hybrid nutrient-rich food NRFh 4:3:3 score to other nutrient-rich food (NRF) scores, energy density, and energy cost and to model the impact on the Healthy Eating Index (HEI-2015) of partially replacing less nutrient-rich with more nutrient-rich foods. Methods: Analyses were based on 5870 foods and beverages in the Food and Nutrient Database for Dietary Studies and on 24 h dietary recalls from the National Health and Nutrition Examination Survey (NHANES 2013–16). The NRFh 4:3:3 model was based on four nutrients to encourage (protein fiber, potassium, MUFA + PUFA); three food groups to encourage (dairy, fruit, whole grains); and three nutrients to limit (saturated fat, added sugar, sodium). Ratings generated by NRFh 4:3:3 and by other NRF models were correlated with score components, energy density (kcal/100 g), and energy cost (USD/100 kcal). The impact on HEI-2015 of replacing foods in the lowest nutrient density tertile (T1) with top tertile (T3) foods at 10%, 20%, 30%, and 100% equicaloric replacement was modeled using NHANES 2013–16 dietary data by population subgroups. Results: The NRFh 4:3:3 model awarded higher scores to foods containing dairy, fruit, and whole grains and proportionately lower scores to vegetables when compared to the NRF 9.3 model. Higher NRF and NRFh nutrient density scores were linked to lower energy density and higher energy cost; however, both correlations were lower for the NRFh 4:3:3. Isocaloric replacement of bottom tertile with top tertile foods as rated by both models led to significantly higher HEI-2105 values, based on complete (100%) and on partial (10–30%) replacement. Conclusion: The new NRFh 4:3:3 model provides the basis for developing new metrics of affordable nutrient density. The model identified “best value” food categories that were both affordable and nutrient-rich. Total and partial replacement of low nutrient density with high nutrient density foods was associated with higher HEI-2015 scores, suggesting that even partial inclusion of more nutrient dense foods in the diet may have an important impact on total diet quality.