A diet rich in fibre seems to protect against the metabolic syndrome (MetS), but there is scarce information about the role of fibre intake in patients with the MetS and diabetes. The aim of the present study was to evaluate the effects of soluble fibre from partially hydrolysed guar gum (PHGG) on the MetS and cardiovascular risk factors in patients with type 2 diabetes. In the present randomised controlled clinical trial, forty-four patients with type 2 diabetes (males 38·6 %, age 62 (SD 9) years, diabetes duration 14·2 (SD 9·6) years) and the MetS underwent clinical, laboratory and dietary evaluations at baseline, 4 and 6 weeks. All patients followed their usual diet and the intervention group (n 23) received an additional 10 g/d of PHGG. In the intervention group, waist circumference (WC), glycated Hb (HbA1c), 24 h urinary albumin excretion (UAE) and serum trans-fatty acids (FA) were reduced in comparison with baseline after 4 and 6 weeks: WC 103·5 (SD 9·5) to 102·1 (SD 10) to 102·3 (SD 9·7) cm; HbA1c 6·88 (SD 0·99) to 6·64 (SD 0·94) to 6·57 (SD 0·84) %; 24 h UAE 6·8 (interquartile range 3·0-17·5) to 4·5 (interquartile range 3·0 -10·5) to 6·2 (interquartile range 3·0 -9·5) mg; trans-FA 71 (interquartile range 46-137) to 67 (interquartile range 48 -98) to 57 (interquartile range 30-110) mg/l (P,0·05 for all). The only change in the control group was weight reduction: 77·0 (SD 13·5) to 76·2 (SD 13·3) to 76·1 (SD 13·4) kg (P¼0·005). Other MetS components (blood pressure, TAG, HDL-cholesterol, fasting plasma glucose), total and LDL-cholesterol, C-reactive protein and endothelin-1 did not change in either group. In patients with type 2 diabetes and the MetS, the addition of PHGG to the usual diet improved cardiovascular and metabolic profiles by reducing WC, HbA1c, UAE and trans-FA.
Objective: To evaluate the reproducibility and validity of a previously constructed FFQ to assess the usual diet of patients with type 2 diabetes mellitus (T2DM). Design: Cross-sectional survey using two quantitative FFQ (1-month interval) supported by a food photograph portfolio, a 3 d weighed diet record (WDR) and urinary N output measurement (as a biomarker of protein intake). Setting: Group of Nutrition in Endocrinology, southern Brazil. Subjects: Out-patients with T2DM. Results: From a total of 104 eligible T2DM patients, eighty-eight were included in the evaluation of FFQ reproducibility and seventy-two provided data for the validity study. The intakes estimated from the two FFQ did not differ (P . 0?05) and the correlation coefficients were significant (P , 0?01) for energy and nutrients, ranging from 0?451 (soluble fibre) to 0?936 (PUFA). Regarding the validity evaluation, data from the FFQ were higher than those from the WDR for total (28?3 %), soluble (27?4 %) and insoluble fibres (29?1 %), and SFA (13?5 %), MUFA (11?1 %) and total lipids (9?2 %; all P , 0?05). There were significant correlation coefficients between the FFQ and WDR for most nutrients, when adjusted for energy intake and de-attenuated. Also, the Bland-Altman plots between the FFQ and WDR for energy and macronutrient intakes showed that the FFQ may be used as alternative method to the WDR. The validity coefficient (using the method of triads) for the FFQ protein intake was 0?522 (95 % CI 0?414, 0?597). Conclusions: This quantitative FFQ was valid and precise to assess the usual diet of patients with T2DM, according to its validity and reproducibility.
Background: This cross-sectional study aimed to evaluating the association between body adiposity markers and high-risk of coronary heart disease (CHD) in patients with type 2 diabetes. Methods: Recent adiposity markers [waist-to-height ratio, conicity index (C-index) and body adiposity index] and traditional markers [BMI, waist circumference and waist-to-hip ratio (WHR)] were measured. The 10-year risk of fatal CHD was estimated according to UKPDS risk engine scores. Patients were divided into high (CHD risk ≥20%; n = 99) or low-moderate (CHD risk <20%; n = 321) risk groups. Multiple logistic regression models were performed to analyze associations between CHD risk (outcome) and adiposity markers. Results: A total of 420 patients with type 2 diabetes (61.9 ± 9.5 years; 53.5% females; HbA1c 7.6 ± 1.6%) were evaluated. The high risk group had greater proportions of elevated C-index and BMI values than patients with low-moderate risk. No between-group differences in other adiposity markers were observed. In multiple logistic regression models, only C-index values ≥1.35 were associated with CHD risk >20% (OR = 1.69; 95% CI 1.03-2.78; P = 0.039) after adjusting for confounders (sedentary lifestyle, diabetic nephropathy, serum creatinine, and diabetes duration). The association between WHR and CHD risk did not hold in this sample. Conclusions: The C-index was the body adiposity marker best associated with high risk of fatal CHD in these patients with type 2 diabetes.
BackgroundThis study aimed to evaluate the concordance between two dietary indexes, the Healthy Eating Index (HEI) and the Diabetes Healthy Eating Index (DHEI), in evaluating diet quality and its possible association with therapeutic targets in patients with type 2 diabetes.MethodsCross-sectional study of outpatients with type 2 diabetes mellitus treated at a university hospital. Dietary information was obtained from a quantitative food frequency questionnaire (previously validated for use in patients with type 2 diabetes) and converted into daily intakes. Diet quality was assessed using two dietary indexes: HEI (12 components, nine food groups and three moderation components) and DHEI (10 components, six food groups, three nutrient groups, and one for variety of diet). In both indexes, the sum of the scores for each component yields an overall score converted on a scale from 0 to 100%; diet quality is subsequently ranked as low (<51%), needing improvement (51–80%), or high (>80%). Patients underwent clinical and laboratory assessment. Those with fasting blood glucose values 70–130 mg/dL, A1c < 7%, total cholesterol <200 mg/dL, LDL-cholesterol <100 mg/dL, and triglycerides <150 mg/dL were considered to meet therapeutic targets. All analyses were conducted in PASW Statistics 18.0, and p < 0.05 deemed significant.ResultsWe analyzed 148 patients with type 2 diabetes (73% white, mean age 63.2 ± 9.4 years, median diabetes duration 10 [IQR 5–19] years, mean A1c% 8.4 ± 2.0%, and mean BMI 30.5 ± 4.2 kg/m2). Mean energy intake was 2114 ± 649 kcal/day. DHEI scores were 17.0 (95%CI -6.8 to 41.0) points lower than HEI scores (55.9 ± 14.2% vs. 72.9 ± 10.7%, respectively; P < 0.001), suggesting there is no agreement (Bland-Altman method), and the Pearson correlation coefficient was 0.55 (P < 0.001). More patients were classified as having a low-quality diet by the DHEI than by the HEI (38.5% vs. 1.4%; P < 0.001). A higher proportion of patients (35.7%) with out-of-target total cholesterol levels had a low-quality diet evaluated by the DHEI (P = 0.03). We did not find associations between overall score of HEI and therapeutic targets.ConclusionsIn its intended population of patients with type 2 diabetes, the DHEI seems to be a more rigorous tool to evaluate association between diet quality and changes in metabolic parameters.Electronic supplementary materialThe online version of this article (10.1186/s12937-017-0296-8) contains supplementary material, which is available to authorized users.
Objective:This study sought to develop a dietary index for assessment of diet quality aiming for compliance with dietary recommendations for diabetes: The Diabetes Healthy Eating Index.Methods:Cross-sectional study with 201 outpatients with type 2 diabetes (61.4±9.7 years of age; 72.1% were overweight; 12.1±7.7 years of diagnosis; 7.3±1.3% mean HbA1c). Clinical and laboratory evaluations were performed together with 3-day weight diet records. The dietary index developed included 10 components: "diet variety", "fresh fruits", "vegetables", "carbohydrates and fiber sources", "meats and eggs", "dairy products and saturated fatty acids", "oils and fats", "total lipids", "cholesterol", and "transunsaturated fatty acids". The performance of each component was evaluated using the Item Response Theory, and diet quality was scored from 0-100%.Results:Overall, diet quality in this sample was 39.8±14.3% (95%CI=37.8-41.8%), and only 55 patients had a total diet quality score >50%. Good compliance was observed in only four index components: "total lipids", "variety", "fiber sources", and "dairy and saturated fatty acids". The components that differentiated patients with poor dietary quality from those with good dietary quality were "vegetables", "diet variety", "dairy and saturated fatty acids" and "total lipids". The greatest determinants of dietary quality were the components "diet variety", "vegetables", and "total lipids".Conclusion:This dietary index proposed assesses diet quality in compliance with the specific nutritional recommendations for diabetes. In clinical practice, this novel index may be a useful tool for the assessment and management of diet of patients with type 2 diabetes.
Purpose:To evaluate the relationship between eating patterns and therapeutic target’s achieving in patients with type 2 diabetes.Methods:In this cross-sectional study, patients underwent clinical, laboratory, and nutritional evaluations. Dietary intake was assessed by a quantitative food frequency questionnaire and eating patterns identified by cluster analysis. The therapeutic targets were as follows: blood pressure, <140/90 mm Hg; BMI, <25 kg/m2 (<27 kg/m2 for elderly); waist circumference, <94 cm for men and <80 cm for women; fasting plasma glucose, <130 mg/dL; HbA1c, <7%; triglycerides, <150 mg/dL; HDL-cholesterol, >40 mg/dL for men and >50 mg/dL for women; LDL-cholesterol, <100 mg/dL.Results:One hundred ninety seven patients were studied. We identified two eating patterns: “unhealthy” (n = 100)—high consumption of refined carbohydrates, ultra-processed foods, sweets and desserts (P < 0.05); and “healthy” (n = 97)—high intake of whole carbohydrates, dairy, white meat, fish, fruits and vegetables (P < 0.05). The healthy group more frequently achieved therapeutic targets for fasting plasma glucose, HbA1c, and LDL-cholesterol than the unhealthy group. Poisson regression confirmed the association of healthy eating pattern with attaining the therapeutic target for fasting plasma glucose [PR, 1.59 (95% CI, 1.01 to 2.34); P = 0.018], HbA1c [PR, 2.09 (95% CI, 1.17 to 3.74); P = 0.013], and LDL-cholesterol [PR, 1.37 (95% CI, 1.01 to 1.86); P = 0.042].Conclusions:A healthy eating pattern, including the frequent intake of whole carbohydrates, dairy, white meat, fish, fruits, and vegetables, is associated with reduced fasting plasma glucose, HbA1c, and LDL cholesterol levels in patients with type 2 diabetes.
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