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Introduction: To determine whether dietary carbohydrates quality index (CQI), glycemic index, and glycemic load is associated with general and abdominal obesity. Methods: 850 participants, 20 to 59 years old, were enrolled in a cross-sectional study from five Tehran districts through health houses. The 168 items in the semi--quantitative food frequency questionnaire were used to assess dietary intake. The CQI was calculated by using the following four components: glycemic index, total fiber, solid carbohydrate to total carbohydrate ratio, and whole grains: total grains ratio. Results: After adjusting for confounding factors, the chance of obesity in men (OR = 0.38, 95% CI 0.15 to 0.95; P = 0.04) measured by waist circumference (WC) was significantly lower in the fourth quintile of CQI in comparison with the first quintile. In addition, OR for obesity in men (OR = 2.53, 95% CI 0.52 to 1.37; P = 0.04) was significantly 2.5 times higher among those in the fourth quintile of glycemic index compared with those in the lowest quintile. There was no significant association between dietary carbohydrates with general obesity in men and women. Conclusion: In summary, dietary CQI is significantly inversely related to central obesity in men, according to this study. Additionally, adherence to a diet with a higher glycemic index in men is positively associated with central obesity. [ABSTRACT FROM AUTHOR]

In pregnant women with type 1 diabetes, a low but sufficient, intake of carbohydrates is important to aim for near normal glycemic control. However, knowledge about the carbohydrate intake in this group is limited. To assess the average quantity and quality of carbohydrate intake in pregnant women with type 1diabetes compared to healthy pregnant women and current dietary reference intakes. A narrative literature search was performed in PubMed, Embase, and Cochrane Library and by using a snow‐ball search technique to identify papers published on studies conducted in industrialized countries within the last 20 years. Intakes of carbohydrate were assessed qualitatively in relation to the Dietary Reference Intakes recommended by the American Diabetes Association and quantitatively as mean intake of dietary fiber. Five observational studies including 810 pregnant women with type 1 diabetes and 15 observational studies with a total of 118,246 healthy pregnant women were identified. The mean total carbohydrate intake was within the Acceptable Macronutrient Distribution Range (45%–64% of energy intake) in both groups. In pregnant women with type 1 diabetes, the average total intake was 218 ± 19 g/day, which was 20% (53 g/day) lower than in healthy pregnant women. Mean intake of dietary fiber in women with diabetes was lower than the recommended adequate intake for healthy women. With the limitations of pronounced heterogeneity across the included studies, pregnant women with type 1 diabetes reported a mean total carbohydrate intake, which was lower than in healthy pregnant women but still within the recommended range. [ABSTRACT FROM AUTHOR]

Background Dietary carbohydrate type may influence cardiometabolic risk through alterations in the gut microbiome and microbial-derived metabolites, but evidence is limited. Objectives We explored the relative effects of an isocaloric exchange of dietary simple, refined, and unrefined carbohydrate on gut microbiota composition/function, and selected microbial metabolite concentrations. Methods Participants [ n  = 11; age: 65 ± 8 y; BMI (in kg/m2): 29.8 ± 3.2] were provided with each of 3 diets for 4.5 wk with 2-wk washout, according to a randomized, crossover design. Diets [60% of energy (%E) carbohydrate, 15%E protein, and 25%E fat] differed in type of carbohydrate. Fecal microbial composition, metatranscriptomics, and microbial-derived SCFA and secondary bile acid (SBA) concentrations were assessed at the end of each phase and associated with cardiometabolic risk factors (CMRFs). Results Roseburia abundance was higher (11% compared with 5%) and fecal SBA concentrations were lower (lithocolic acid –50% and deoxycholic acid –64%) after consumption of the unrefined carbohydrate diet relative to the simple carbohydrate diet [false discovery rate (FDR): all P  < 0.05), whereas Anaerostipes abundance was higher (0.35% compared with 0.12%; FDR: P  = 0.04) after the simple carbohydrate diet relative to the refined carbohydrate diet. Metatranscriptomics indicated upregulation of 2 cellular stress genes (FDR: P  < 0.1) after the unrefined carbohydrate diet compared with the simple carbohydrate or refined carbohydrate diets. The microbial expression of 3 cellular/oxidative stress and immune response genes was higher (FDR: P  < 0.1) after the simple carbohydrate diet relative to the refined carbohydrate diet. No significant diet effect was observed in fecal SCFA concentrations. Independent of diet, we observed 16 associations (all FDR: P  < 0.1) of taxon abundance (15 phylum and 1 genera) with serum inflammatory markers and also with fecal SCFA and SBA concentrations. Conclusions Consuming an unrefined carbohydrate–rich diet had a modest effect on the gut microbiome and SBAs, resulting in favorable associations with selected CMRFs. Simple carbohydrate– and refined carbohydrate–rich diets have distinctive effects on the gut microbiome, suggesting differential mechanisms mediate their effects on cardiometabolic health. This trial was registered at clinicaltrials.gov as NCT01610661. [ABSTRACT FROM AUTHOR]

Multiple factors may affect the metabolic fate of carbohydrates. Today, well-standardised and accepted methods may allow for the definitions of the changes in the glucose and insulin curves following the ingestion of either carbohydrate-based and other foods. More debate is still raised on the clinical meaning of these classifications when used at a population level, while emphasis is raised on the approach to carbohydrate metabolism on an individual basis. Within these ranges of applications, other compounds, such as plant polyphenols, may favourably add synergic effects through the modulation of carbohydrate digestion and glucose metabolic steps, resulting in lowering postprandial glucose and insulin levels. Finally, a growing knowledge suggests that the balance of dietary fructose and individual physical activity represent the key point to address the compound towards either positive, energy sparing effects, or a degenerative metabolic burden. The carbohydrate quality within a whole dietary and lifestyle pattern may therefore challenge the individual balance towards health or disease. [ABSTRACT FROM AUTHOR]

Abstract: Background: Dietary carbohydrate quality may play an important role in disease development. We evaluated the association between carbohydrate quality index (CQI) and the prevalence of obesity and metabolic disorders among adults in South Korea. Methods: We analysed 12 027 adults aged 19–64 years from the fifth Korea National Health and Nutrition Examination Survey (KNHANES). CQI was based on four criteria: crude fibre intake, dietary glycaemic index (DGI), whole grains/total grains ratio and solid carbohydrates/total carbohydrates ratio. Results: Participants with a lower CQI were younger, had a lower income and were more likely to be smokers and to drink alcohol. The highest quintile CQI group showed the lowest DGI and the lowest consumption of liquid carbohydrates and refined grains, as well as the highest consumption of solid carbohydrates, crude fibre and whole grains (P < 0.05). A higher CQI was negatively associated with the prevalence of obesity (odds ratio = 0.83; 95% confidence interval = 0.69–0.99) and hypertension (odds ratio = 0.78; 95% confidence interval = 0.61–0.99) but was not associated with other metabolic disorders. Conclusions: These results suggest that the quality of carbohydrates consumed is associated with the risk of obesity and hypertension. However, the cross‐sectional design does not preclude reverse causality. [ABSTRACT FROM AUTHOR]

Background: The carbohydrate-to-fiber ratio is a recommended measure of carbohydrate quality; however, its relation to incident coronary heart disease (CHD) is not currently known. Objective:We aimed to assess the relation between various measures of carbohydrate quality and incident CHD. Design: Data on diet and lifestyle behaviors were prospectively collected on 75,020 women and 42,865 men participating in the Nurses' Health Study (NHS) and the Health Professionals Follow- Up Study (HPFS) starting in 1984 and 1986, respectively, and every 2-4 y thereafter until 2012. All participants were free of known diabetes mellitus, cancer, or cardiovascular disease at baseline. Cox proportional hazards regression models were used to assess the relation between dietary measures of carbohydrate quality and incident CHD. Results: After 1,905,047 (NHS) and 921,975 (HPFS) person-years of follow-up, we identified 7,320 cases of incident CHD. In models adjusted for age, lifestyle behaviors, and dietary variables, the highest quintile of carbohydrate intake was not associated with incident CHD (pooled-RR = 1.04; 95% CI: 0.96, 1.14; P-trend = 0.31). Total fiber intake was not associated with risk of CHD (pooled-RR = 0.94; 95% CI: 0.85, 1.03; P-trend = 0.72), while cereal fiber was associated with a lower risk for incident CHD (pooled-RR = 0.80; 95% CI: 0.74, 0.87; P-trend < 0.0001). In fully adjusted models, the carbohydrate-to-total fiber ratio was not associated with incident CHD (pooled-RR = 1.04; 95% CI: 0.96, 1.13; P-trend = 0.46). However, the carbohydrate-to-cereal fiber ratio and the starch-to-cereal fiber ratio were associated with an increased risk for incident CHD (pooled-RR = 1.20; 95% CI: 1.11, 1.29; P-trend < 0.0001, and pooled-RR = 1.17; 95%CI: 1.09, 1.27; P-trend < 0.0001, respectively). Conclusion: Dietary cereal fiber appears to be an important component of carbohydrate quality. The carbohydrate-to-cereal fiber ratio and the starch-to-cereal fiber ratio, but not the carbohydrate-tofiber ratio, was associated with an increased risk for incident CHD. Future research should focus on how various measures of carbohydrate quality are associated with CHD prevention. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the association between carbohydrate quality, fat quality or adherence to the Mediterranean diet and intake adequacy of 19 micronutrients in the PREDIMED (PREvención con DIeta MEDiterránea) trial, a multicenter, randomized, controlled, parallel group and primary prevention trial conducted in Spain. Methods: We assessed baseline dietary intake of 6,542 elderly subjects at high cardiovascular risk through a validated food frequency questionnaire (FFQ) and a validated 14-item Mediterranean diet (Med-diet) score. We used a multidimensional carbohydrate quality index (CQI) using four criteria and a fat quality index (FQI) according to the ratio (MUFA + PUFA)/(SFA + TFA). The probability of intake adequacy was calculated comparing the intakes to DRI, and also using the probabilistic approach. Absolute and adjusted probability of having inadequate intake for either ≥6 DRI or ≥8 DRI were estimated to assess nutritional adequacy according to quintiles of each index. Results: The lowest prevalence of inadequate micronutrient intake (≥8 DRI) was found in the highest quintile of CQI or Med-diet score, and in the lowest quintile of FQI (adjusted fold risk: 1.4, 3.4 and 10.2 respectively in comparison with the lowest quintile). P for trend <0.001 in three multivariable models. A higher CQI or Med-Diet score and a lower FQI were significantly associated with a lower fold risk of unmet EAR values. Conclusions: A multidimensional assessment of CQI can be a useful tool to evaluate the quality of carbohydrates. This score and a 14-item Med-diet score were positively related to overall micronutrient adequacy in elderly participants. [ABSTRACT FROM AUTHOR]

Background: Carbohydrate quality has been consistently related to the risk of type 2 diabetes (T2D). However, limited information is available about the effect of carbohydrate quality on biomarkers related to T2D.Objective: We examined the associations of carbohydrate quality measures (CQMs) including carbohydrate intake; starch intake; glycemic index; glycemic load; total, cereal, fruit, and vegetable fiber intakes; and different combinations of these nutrients with plasma concentrations of adiponectin, C-reactive protein (CRP), and glycated hemoglobin (HbA1c).Methods: This is a cross-sectional analysis of 2458 diabetes-free women, ages 43-70 y, in the Nurses Health Study. CQMs were estimated from food-frequency questionnaires, and averages from 1984, 1986, and 1990 were used. Plasma biomarkers were collected in 1990. Multiple linear regression models were used to assess the associations between CQMs and biomarkers.Results: After age, body mass index, lifestyle, and dietary variables were adjusted, 1) total fiber intake was positively associated with adiponectin (P-trend = 0.004); 2) cereal fiber intake was positively associated with adiponectin and inversely associated with CRP, and fruit fiber intake was negatively associated with HbA1c concentrations (all P-trend < 0.03); 3) starch intake was inversely associated with adiponectin (P-trend = 0.02); 4) a higher glycemic index was associated with lower adiponectin and higher HbA1c (both P-trend < 0.05); 5) a higher carbohydrate-to-total fiber intake ratio was associated with lower adiponectin (P-trend = 0.005); 6) a higher starch-to-total fiber intake ratio was associated with lower adiponectin and higher HbA1c (both P-trend < 0.05); and 7) a higher starch-to-cereal fiber intake ratio was associated with lower adiponectin (P-trend = 0.002).Conclusions: A greater fiber intake and a lower starch-to-fiber intake ratio are favorably associated with adiponectin and HbA1c, but only cereal fiber intake was associated with CRP in women. Further research is warranted to understand the potential mechanism of these associations in early progression of T2D. [ABSTRACT FROM AUTHOR]

Background: Carbohydrate quality may be an important determinant of type 2 diabetes (T2D); however, relations between various carbohydrate quality metrics and T2D risk have not been systematically investigated. Objective: The purpose of this study was to prospectively examine the association between carbohydrates, starch, fibers, and different combinations of these nutrients and risk of T2D in women. Design: We prospectively followed 70,025 women free of cardiovascular disease, cancer, and diabetes at baseline from the Nurses' Health Study (1984-2008). Diet information was collected with the use of a validated questionnaire every 4 y. Cox regression was used to evaluate associations with incident T2D. Results: During 1,484,213 person-years of follow-up, we ascertained 6934 incident T2D cases. In multivariable analyses, when extreme quintiles were compared, higher carbohydrate intake was not associated with T2D (RR = 0.98; 95% CI: 0.89, 1.08; P-trend = 0.84), whereas starch was associated with a higher risk (RR = 1.23; 95% CI: 1.12, 1.35; P-trend,0.0001). Total fiber (RR = 0.80; 95% CI: 0.72, 0.89; P-trend < 0.0001), cereal fiber (RR = 0.71, 95% CI: 0.65, 0.78; P-trend < 0.0001), and fruit fiber (RR = 0.79; 95% CI: 0.72, 0.85; P-trend < 0.0001) were associated with a lower T2D risk. The ratio of carbohydrate to total fiber intake was marginally associated with a higher risk of T2D (RR = 1.09; 95% CI: 1.00, 1.20; P-trend = 0.04). On the other hand, we found positive associations between the ratios of carbohydrate to cereal fiber (RR = 1.28; 95% CI: 1.17, 1.39; P-trend < 0.0001), starch to total fiber (RR = 1.12; 95% CI: 1.02, 1.23; P-trend = 0.03), and starch to cereal fiber (RR = 1.39; 95% CI: 1.27, 1.53; P-trend < 0.0001) and T2D. Conclusions: Diets with high starch, low fiber, and a high starch-to-cereal fiber ratio were associated with a higher risk of T2D. The starch-to-cereal fiber ratio of the diet may be a novel metric for assessing carbohydrate quality in relation to T2D. [ABSTRACT FROM AUTHOR]

Background: Despite normal gestational weight gain, dietary studies in pregnant women show intakes below the recommendations for energy and micronutrients. Objective: This study compared changes in dietary intake from the second to third trimester with emphasis on energy intake and carbohydrate quality. Design: These post hoc analyses were based on 566 women participating in the Pregnancy and Glycemic Index Outcomes study, a randomized controlled trial comparing the effect of low-glycemic index (GI) dietary advice with healthy eating advice on selected pregnancy outcomes. With the use of multilevel mixed-regression analysis, changes in total energy intake, starch, sugar, fiber intake, GI, and glycemic load (GL) were correlated with intake of different micronutrients. Results: Energy intake decreased in the third trimester, and most women did not meet the national recommended amounts for iron, folate, and dietary fiber from food sources alone. After adjustment for age, ethnicity, prepregnancy body mass index, and intervention group, change in energy intake was positively related to change in intake of all micronutrients (P < 0.001). GI, GL, and starch intake were inversely related to micronutrient intake (P < 0.001), whereas higher total sugars predicted higher intake (P < 0.001). Associations with dietary fiber were inconsistent. Conclusions: Normal pregnancy can be associated with a decline in energy and micronutrient intake from diet. Low dietary GI and GL were the best predictors of a favorable micronutrient profile. This trial was registered at www.anzctr.org.au as ACTRN12610000174088. [ABSTRACT FROM AUTHOR]

Background: The prevalence of type 2 diabetes has been reaching epidemic proportions across the globe, affecting low/middle-income and developed countries. Two main contributors to this burden are the reduction in mortality from infectious conditions and concomitant negative changes in lifestyles, including diet. We aimed to depict the current state of type 2 diabetes worldwide in light of the undergoing epidemiologic and nutrition transition, and to posit that a key factor in the nutrition transition has been the shift in the type and processing of staple foods, from less processed traditional foods to highly refined and processed carbohydrate sources. Discussion: We showed data from 11 countries participating in the Global Nutrition and Epidemiologic Transition Initiative, a collaborative effort across countries at various stages of the nutrition-epidemiologic transition whose mission is to reduce diabetes by improving the quality of staple foods through culturally-appropriate interventions. We depicted the epidemiologic transition using demographic and mortality data from the World Health Organization, and the nutrition transition using data from the Food and Agriculture Organization food balance sheets. Main staple foods (maize, rice, wheat, pulses, and roots) differed by country, with most countries undergoing a shift in principal contributors to energy consumption from grains in the past 50 years. Notably, rice and wheat products accounted for over half of the contribution to energy consumption from staple grains, while the trends for contribution from roots and pulses generally decreased in most countries. Global Nutrition and Epidemiologic Transition Initiative countries with pilot data have documented key barriers and motivators to increase intake of high-quality staple foods. Summary: Global research efforts to identify and promote intake of culturally-acceptable high-quality staple foods could be crucial in preventing diabetes. These efforts may be valuable in shaping future research, community interventions, and public health and nutritional policies. [ABSTRACT FROM AUTHOR]

Epidemiological research confirms that the prevalence of suboptimal micronutrient intakes across Europe is an emerging concern in terms of public health. The aim of the present study was to investigate the association between a new index of carbohydrate (CHO) quality and micronutrient intake adequacy in the ‘Seguimiento Universidad de Navarra (SUN)’ cohort. The baseline assessment extended from 1999 to March 2012. We assessed 16 841 participants who completed a validated 136-item semi-quantitative FFQ at baseline. We created a new index to evaluate CHO quality for the following four criteria: dietary fibre intake; glycaemic index; whole grains:total grains ratio; solid CHO:total CHO ratio. The subjects were classified into quintiles according to this index. We evaluated the intakes of Zn, I, Se, Fe, Ca, K, P, Mg, Cr and vitamins B1, B2, B3, B6, B12, C, A, D, E and folic acid. The probability of intake adequacy was evaluated using the estimated average requirement cut-point approach and the probabilistic approach. Logistic regression analysis was used to assess the nutritional adequacy according to the CHO quality index (CQI). Participants in the highest quintile of CQI were found to have the lowest prevalence of inadequacy. A higher quality of CHO intake was found to be associated with a lower risk of nutritional inadequacy in comparison with the lowest quintile of CQI (adjusted OR 0·06, 95 % CI 0·02, 0·16; P for trend < 0·001). A higher CQI was found to be strongly associated with better micronutrient intake adequacy in the young Mediterranean cohort, stressing the importance of focusing nutritional education not only on CHO quantity, but also on quality. [ABSTRACT FROM PUBLISHER]

Aim: The aim of this study was to explore the relationships between dietary carbohydrate, other macronutrients, carbohydrate quality and nutritional adequacy in the diets of free-living Australian teenagers, and to consider the implications for total carbohydrate recommendations. Methods: Using the Children's Nutrition and Physical Activity Survey (2007) database, the nutrient intakes of boys and girls aged 14-16 years were assessed by quintile of carbohydrate intake. Results: Carbohydrate intake was inversely associated with intakes of saturated fat, polyunsaturated fat, long-chain omega 3, monounsaturated fat and protein (for each association, P for trend <0.001). Carbohydrate intake was associated with increased intake of fibre in boys ( P for trend <0.05) but not girls, the association being nonlinear. As carbohydrate intake increased, the densities of fibre, vitamin C, folate, thiamin and β-carotene declined and the density of sugar increased, implying a decline in carbohydrate quality. Nutritional adequacy was generally compatible with a wide range of carbohydrate intakes. Conclusions: In combination, the exchanges of carbohydrate for polyunsaturated fat, long-chain omega 3, monounsaturated fat and protein would be expected to increase coronary disease risk via several mechanisms. This implies that there may be a progressive increase in coronary risk as carbohydrate intakes increase across the Acceptable Macronutrient Distribution Range (AMDR), as the exchange of carbohydrate for saturated fat is now considered to be neutral for coronary risk. There is a case for lowering the upper and lower boundaries of the AMDR for carbohydrate intake as a strategy for chronic disease prevention. Lower boundaries would be unlikely to increase the risk for obesity or nutrient inadequacy. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study was to develop a model for conceptualising the nutritional quality of carbohydrate-rich foods, using nutrient density and glycaemic index. Methods: A nutrient density score based on six distinguishing nutrients was developed. Nutrient density scores and glycaemic indices for 95 carbohydrate-rich foods were plotted on two dimensional axes, arranged into four carbohydrate quality quadrants. The classifications of foods and groups of foods were then assessed against Australian and American dietary guidelines' recommendations. Results: The model showed considerable capacity to discriminate between the nutritional qualities of carbohydrate-rich foods. In general, the ranking of foods was consistent with dietary guidelines' recommendations with most core foods including dairy products, legumes, starchy vegetables, breads and breakfast cereals falling into the two highest quality categories. Non-core foods such as biscuits, donuts, pastries, sweets and soft drinks fell into the lowest quality category. There were two points of inconsistency between the model and the dietary guidelines, in relation to some fruits and cereals. Nutrient density scores for fruits varied widely. Many cereal foods, including rice and pasta, fell in the lower quality categories and were ranked similarly to biscuits and pastries. Total sugar content was a minor discriminator of nutritional quality using this model. Conclusions: Ranking the nutritional quality of carbohydrate-rich foods using this model suggests that dietary recommendations for cereal foods in dietary guidelines and food guides may need to be reconsidered. More emphasis may need to be placed on nutrient density and less on sugar content. [ABSTRACT FROM AUTHOR]

Background: Diet quality is generally poor in persons with diabetes and it is unknown whether this is associated with worse glycaemic control and atherogenic lipid profile. The aim was to examine diet quality in relation to important markers of metabolic control in adults with type 1 diabetes (T1D) and type 2 diabetes (T2D).Methods: The study was cross-sectional and included 423 (49% females) persons with T1D and 339 (29% females) persons with T2D recruited from an outpatient diabetes clinic in Denmark. Data were collected from July 2014 to January 2015. Diet quality was assessed with a food frequency questionnaire to examine eight key dietary components (carbohydrates, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, added sugar, dietary fibre, fruit and vegetables). Clinical data assessing metabolic control (haemoglobin A1c (HbA1c), total cholesterol (total C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), systolic and diastolic blood pressure and body mass index were extracted from the electronic medical records.Results: In T1D, higher intake of carbohydrates and added sugar was associated with higher HbA1c; higher fruit intake was associated with lower total C and LDL-C; and higher intake of carbohydrates and dietary fibre was associated with lower HDL-C. In T2D, higher intake of saturated fat was associated with higher total C; higher intake of added sugar was associated with higher LDL-C; and higher intake of polyunsaturated fat was associated with higher diastolic blood pressure.Conclusions: In Danish adults with T1D and T2D, both the total intake and the quality of carbohydrates and fat were associated with an unfavourable glucose regulation and lipid profile. Thus, our findings support a constant focus on diet and emphasise the need for dietary support in people with diabetes to improve diet quality, metabolic control and possibly reduce cardiovascular risk. [ABSTRACT FROM AUTHOR]