Association between intuitive eating and health outcomes in outpatients with type 2 diabetes: a cross-sectional study.

PURPOSE: To evaluate the association between intuitive eating and health outcomes in patients with type 2 diabetes in a cross-sectional study. METHODS: Consecutively, outpatients attending at university hospital underwent clinical, laboratory, lifestyle, and eating behavior evaluations. Intuitive eating was assessed using the Intuitive Eating Scale-2 (IES-2), and the Three Factor Eating Questionnaire-21 was adopted as a confirmatory tool for disordered eating behavior. Optimized health outcomes were considered according to the American Diabetes Association criteria for BMI, HbA1c, lipid profile, and blood pressure values, and the International Diabetes Federation criteria for waist circumference. Considering the answers of the IES-2 items, patients were grouped by latent class analysis, and their characteristics were compared by appropriate tests. RESULTS: In total, 267 patients were evaluated: 62.2% women, with 60 (53-65) years, BMI 31.9 ± 5.4 kg/m², diabetes duration of 16 ± 9 years, HbA1c 8.5 ± 1.5%, and an IES-2 total score of 58 (50-67)%. Three intuitive eating groups were identified: higher intuitive eating, nonemotional-oriented coping, and lower intuitive eating. Patients with higher intuitive eating have higher chances of having optimized BMI and serum triglycerides values compared to patients with lower intuitive eating. Also, the 10-point increase on IES-2 was associated with a 0.62 kg/m² reduction on BMI values (95%CI -1.18;-0.06), 1.90 cm on waist circumference (95%CI -3.26;-0.54), and 23 mg/dL in serum triglycerides values (95%CI -38.27;-7.40) after adjustment for age, sex, psychotropic drug use, medication effect score, smoking, and BMI. CONCLUSION: Intuitive eating seems to be associated with optimized health outcomes and may contribute to better personalized interventions in nutritional treatment that promote adaptive behaviors in diabetes management, but should be tested.

Body adiposity markers and insulin resistance in patients with type 1 diabetes

ABSTRACT Objectives: Body composition changes are associated with adverse effects such as increased insulin resistance (IR) in individuals with diabetes mellitus. This study aims to evaluate the association between different body adiposity markers and IR in adults with type 1 diabetes (T1D). Subjects and methods: The cross-sectional study included outpatient adults with T1D from a university public hospital in southern Brazil. The body adiposity markers studied were waist circumference (WC), waist-height ratio (WHtR), body mass index (BMI), conicity index (CI), lipid accumulation product (LAP) and body adiposity index (BAI). IR was calculated using an Estimated Glucose Disposal Rate (EGDR) equation (analyzed in tertiles), considering an inverse relation between EGDR and IR. Poisson regression models were used to estimate the odds ratio (OR) and 95% CIs of association of adiposity markers with IR. Results: A total of 128 patients were enrolled (51% women), with a median EGDR of 7.2 (4.4-8.7) mg.kg−1.min−1. EGDR was negatively correlated with WC (r = −0.36, p < 0.01), WHtR (r = −0.39, p < 0.01), CI (r = −0.44, p < 0.01), LAP (r = −0.41, p < 0.01) and BMI (r = −0.24, p < 0.01). After regression analyses, WC (OR = 2.07; CIs: 1.12-3.337; p = 0.003), WHtR (OR = 2.77; CIs: 1.59-4.79; p < 0.001), CI (OR = 2.59; CIs: 1.43-4.66; p = 0.002), LAP (OR = 2.27; CIs: 1.25-4.11; p = 0.007) and BMI (OR = 1.78; CIs: 1.09-2.91; p = 0.019) remained associated with IR. Conclusions: The authors suggest using the studied adiposity markers as a routine since they were shown to be suitable parameters in association with IR.

Body adiposity markers and insulin resistance in patients with type 1 diabetes.

Objective: Body composition changes are associated with adverse effects such as increased insulin resistance (IR) in individuals with diabetes mellitus. This study aims to evaluate the association between different body adiposity markers and IR in adults with type 1 diabetes (T1D). Subjects and methods: The cross-sectional study included outpatient adults with T1D from a university public hospital in southern Brazil. The body adiposity markers studied were waist circumference (WC), waist-height ratio (WHtR), body mass index (BMI), conicity index (CI), lipid accumulation product (LAP) and body adiposity index (BAI). IR was calculated using an Estimated Glucose Disposal Rate (EGDR) equation (analyzed in tertiles), considering an inverse relation between EGDR and IR. Poisson regression models were used to estimate the odds ratio (OR) and 95% CIs of association of adiposity markers with IR. Results: A total of 128 patients were enrolled (51% women), with a median EGDR of 7.2 (4.4-8.7) mg.kg-1.min-1. EGDR was negatively correlated with WC (r = -0.36, p < 0.01), WHtR (r = -0.39, p < 0.01), CI (r = -0.44, p < 0.01), LAP (r = -0.41, p < 0.01) and BMI (r = -0.24, p < 0.01). After regression analyses, WC (OR = 2.07; CIs: 1.12-3.337; p = 0.003), WHtR (OR = 2.77; CIs: 1.59-4.79; p < 0.001), CI (OR = 2.59; CIs: 1.43-4.66; p = 0.002), LAP (OR = 2.27; CIs: 1.25-4.11; p = 0.007) and BMI (OR = 1.78; CIs: 1.09-2.91; p = 0.019) remained associated with IR. Conclusion: The authors suggest using the studied adiposity markers as a routine since they were shown to be suitable parameters in association with IR.

Association of Eating Patterns and Diabetic Kidney Disease in Type 2 Diabetes: A Cross-Sectional Study.

OBJECTIVE: The aim of this cross-sectional study was to evaluate the relationship between eating patterns and diabetic kidney disease in patients with type 2 diabetes. METHODS: Outpatients underwent clinical and nutritional evaluation. Dietary information was obtained through a validated quantitative food frequency questionnaire, and eating patterns were identified by cluster analysis. Diabetic kidney disease was defined as an estimated glomerular filtration rate <60 mL/min/1.73 m2 and/or persistently elevated urinary albumin concentration (albuminuria ≥ 14 mg/L). Procedures involving patients were approved by the Hospital's Ethics Committee. Patients with type 2 diabetes treated at university hospital and tertiary referral center, southern Brazil. RESULTS: A total of 329 patients were evaluated: mean age 62 ± 10 years, body mass index 30.9 ± 4.2 kg/m2, glycated hemoglobin 8.7% ± 2.0, and 10 (5 to 19) years of diabetes duration. Four eating patterns were identified based on cluster analysis: healthy= dairy products, fruits, and vegetables; snacks= dairy products, whole breads, vegetables, and low-calorie products; processed foods= refined carbohydrates and processed meat, and red meat= red meat. Poisson regression models confirmed that snack eaters (PR = 1.48, 95% CI 1.10, 1.99; P = .010) and red meat eaters (PR = 1.93, 95% CI 1.29, 2.89; P = .001) were associated with diabetic kidney disease. CONCLUSION: In this sample of outpatients with type 2 diabetes, the patterns of snacks and red meat were associated with diabetic kidney disease as compared to a healthy pattern.

The AHA Recommendations for a Healthy Diet and Ultra-Processed Foods: Building a New Diet Quality Index.

The American Heart Association (AHA) has developed the concept of "ideal cardiovascular health" (ICH), a seven-component score, which includes health dietary metrics. Higher ultra-processed foods intake is related with several cardiometabolic and cardiovascular diseases. We propose to develop and validate the Cardiovascular Health Diet Index (CHDI), a diet quality index that combines the AHA's recommendations of a healthy diet for cardiovascular health and ultra-processed foods. We used dietary data obtained through a 114-item FFQ from 14,779 participants of the Brazilian Longitudinal Study of Adults Health (ELSA-Brasil). The CHDI had 11 components and a total score ranging from 0 to 110 points. Validation and reliability analyses were performed, including principal component analyses, association with selected nutrients, means differences between groups (for example, smokers vs. non-smokers), Cronbach's alpha, and linear regression analyses between CHDI and overall dietary quality. The mean CHDI was 57.1 points (95% CI 47.9:66.0). The CHDI had four dimensions; in addition, it was associated with nutrients related to cardiovascular health, and the points were significantly (p < 0.001) lower in smokers (52.1) than in non-smokers (57.8). Cronbach's alpha value was 0.50. After age and sex adjustment, the CHDI score remained associated with a higher overall dietary quality (ß 0.87, 95%CI 0.84:0.89, p < 0.001). The CHDI proved to be valid and reliable for use, in addition to being associated with higher overall dietary quality. The use of CHDI is expected to assess the population's compliance with dietary recommendations for promoting cardiovascular health and preventing cardiovascular disease.

The effect of shift work on eating habits: a systematic review.

Objective This systematic review aimed to evaluate the association between shift work and eating habits. Methods The protocol was registered in PROSPERO (number 42015024680). PubMed, EMBASE, Scopus, and Web of Science were searched for published reports. Of 2432 identified articles, 33 observational studies met the inclusion criteria. Their methodological approaches were assessed using the Newcastle-Ottawa Scale. Data were extracted using a standardized form. Studies were considered to have a low or a high risk of bias according to a percentage score of quality. Results The majority of the studies presented a quality score of <70% and a high risk of bias for comparability, sample selection and non-respondents. Shift workers show changes in meal patterns, skipping more meals and consuming more food at unconventional times. They also show higher consumption of unhealthy foods, such as saturated fats and soft drinks. Conclusions This review suggests that shift work can affect the quality of workers' diets, but new studies, especially longitudinal studies, which examine the time of exposure to shift work, the duration of the workday and sleep patterns, are necessary to confirm this association.

Eating Patterns and Health Outcomes in 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.

Diet quality and therapeutic targets in patients with type 2 diabetes: evaluation of concordance between dietary indexes.

BACKGROUND: This 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. METHODS: Cross-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. RESULTS: We 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. CONCLUSIONS: In 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.

Reproducibility and validity of a quantitative FFQ designed for patients with type 2 diabetes mellitus from southern Brazil.

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.

Development of a quantitative food frequency questionnaire for Brazilian patients with type 2 diabetes.

BACKGROUND: To investigate the association between dietary components and development of chronic diabetic complications, the dietary evaluation should include a long period, months or years. The present manuscript aims to develop a quantitative food frequency questionnaire (FFQ) and a portfolio with food photos to assess the usual intake pattern of Brazilian patients with type 2 diabetes to be used in future studies. METHODS: Dietary data using 3-day weighed diet records (WDR) from 188 outpatients with type 2 diabetes were used to construct the list of usually consumed foods. Foods were initially clustered into eight groups: "cereals, tubers, roots, and derivatives"; "vegetables and legumes"; "fruits"; "beans"; "meat and eggs"; "milk and dairy products"; "oils and fats", and "sugars and sweets". The frequency of food intake and the relative contribution of each food item to the total energy and nutrient intakes were calculated. Portion sizes were determined according to the 25th, 50th, 75th, and 95th percentiles of intake for each food item. RESULTS: A total of 62 food items were selected based on the 3-day WDR and another 27 foods or how they are prepared and nine beverages were included after the expert examination. Also, a portfolio with food photos of each included food item and portion sizes was made to assist the patients in identifying the consumed portion. CONCLUSIONS: We developed a practical quantitative FFQ and portfolio with photos of 98 food items covering those most commonly consumed in the past 12 months, to assess the usual diet pattern of patients with type 2 diabetes in Southern Brazil.

Lunch energy density and the metabolic syndrome in patients with type 2 diabetes mellitus.

The aim of the present study was to investigate the possible associations between dietary energy density (ED) and the metabolic syndrome (MetS) in patients with type 2 diabetes. In the present case-control study, the dietary ED of 125 patients with type 2 diabetes (seventy-eight with (cases) the MetS and forty-seven without (controls) the MetS; mean age 62·0 (SD 9·4) years, mean diabetes duration 12·5 (SD 8·4) years and mean glycated Hb 7·2 (SD 1·3) %) was assessed by weighed diet records. The MetS was defined according to the 2009 Joint Interim Statement and ED by the amount of energy (kJ) in a given weight of food. Data are expressed as means (standard deviations) or medians (interquartile ranges). Patients with the MetS reported lower intakes of total energy and fibre, and a higher total food amount than the controls; the total ED did not differ, but the cases had a higher ED at lunch (mean 6·3 (SD 1·3) v. 5·9 (SD 0·8) kJ/g; P= 0·017). In this meal, patients with the MetS had lower intakes of beans (median 0·7 (interquartile range 0·4-1·1) v. 1·1 (interquartile range 0·6-1·6) g/kg; P= 0·020), vegetables (median 1·2 (interquartile range 0·6-1·7) v. 1·4 (interquartile range 1·0-2·0) g/kg; P= 0·046) and total meat (median 1·3 (interquartile range 1·0-1·6) v. 1·4 (interquartile range 1·2-1·8) g/kg; P= 0·034) than patients without the MetS. The associations between lunch ED (kJ/g) and food groups (g/kg) were confirmed for vegetables (r - 0·584; P< 0·001), fruits (r - 0·233; P= 0·070), beans (r - 0·189; P= 0·037) and oils (r 0·323; P< 0·001). In a multivariate logistic regression model, a high lunch ED was associated with the MetS (OR 6·89, 95 % CI 1·35, 35·15; P =0·020) after adjusting for confounders. In conclusion, a high ED at lunch increased the odds of the presence of the MetS in patients with type 2 diabetes. Beans and vegetables may be the major contributors to this association and their consumption might be considered to decrease ED.

Parallel down-regulation of FOXO1, PPARγ and adiponectin mRNA expression in visceral adipose tissue of class III obese individuals.

OBJECTIVE: Adipose tissue is responsible for secretion of several cytokines that mediate systemic effects on obesity and insulin resistance. Subcutaneous abdominal adipose tissue (SAT) and visceral adipose tissue (VAT) are metabolically different and have differences in their gene expression profile. Our study evaluated the expression of adiponectin, FOXO1, PPARγ, and SIRT1 in VAT and SAT of non-obese and class III obese subjects. METHODS: The adipose tissue samples were obtained by surgery. Reverse transcripts of studied genes were determined by quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: Comparing the different lipid depots, adiponectin expression was lower only in VAT of obese individuals (p = 0.043); FOXO1 and PPARγ levels were decreased in VAT of both groups. When non-obese and obese were compared, only adiponectin expression was lower in SAT and in VAT of obese subjects (p = 0.004 and p = 0.002, respectively). No difference was found with regard to SIRT1 levels in VAT or SAT in both groups. FOXO1 expression in SAT of obese subjects had a negative correlation with age (r = -0.683; p = 0.029) and triglyceride serum levels (r = -0.794; p = 0.006). CONCLUSION: The decrease mRNA expression of this genes in VAT, responsible for central adiposity, may be associated with an increased risk of obesity and co-morbidities.

The role of Dietary Approaches to Stop Hypertension (DASH) diet food groups in blood pressure in type 2 diabetes.

The role of each Dietary Approaches to Stop Hypertension (DASH) diet component in blood pressure (BP) of patients with diabetes is still uncertain. The aim of the present study was to evaluate possible associations of the recommended food groups of the DASH diet eating plan with BP values in patients with type 2 diabetes. In the present cross-sectional study, 225 patients with type 2 diabetes (age 61·1 (SD 10·4) years; diabetes duration 13·1 (SD 9·1) years; males 48·4 %; BMI 28·5 (SD 4·3) kg/m(2); HbA1c 7·1 (SD 1·3) %; systolic BP 136·7 (SD 20·0) mmHg; diastolic BP 78·4 (SD 11·8) mmHg) without dietary counselling during the previous 6 months had their dietary intake assessed by 3 d weighed-diet records. Patients were divided into two groups according to BP tertiles: LOW BP (first tertile) and HIGH BP (second plus third tertiles). Multivariate logistic regression models demonstrated that the daily intake of 80 g of fruits per 4184 kJ (1000 kcal) (OR 0·781; 95 % CI 0·617, 0·987; P = 0·039) or 50 g of vegetables per 4184 kJ (1000 kcal) (OR 0·781; 95 % CI 0·618, 0·988; P = 0·040) reduced the chance of the presence of HIGH mean BP (MBP ≥ 92 mmHg) by 22 % each, adjusted for possible confounders. In conclusion, fruit and vegetables were the food groups of the DASH diet associated with reduced BP values in patients with type 2 diabetes, and their consumption might play a protective role against increased BP values.