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.

Avaliação do consumo de frutas em pacientes com diabetes mellitus tipo 2 / Fruit consumption in patients with type 2 diabetes mellitus

Introdução: O impacto do consumo de frutas sobre a saúde de pacientes com diabetes mellitus tipo 2 (DM2) requer investigações. O objetivo deste estudo foi avaliar o consumo de frutas em pacientes com DM2 e identificar a sua associação com parâmetros de controle glicêmico.Métodos: Foram incluídos 197 pacientes ambulatoriais com DM2, submetidos à avaliação clínica, sociodemográfica, antropométrica, laboratorial e de consumo alimentar. A ingestão alimentar total e o consumo de frutas foram avaliados por questionário quantitativo de frequência alimentar. Os pacientes com menor e maior consumo de frutas (de acordo com a mediana) foram comparados.Resultados: A média do consumo de frutas foi de 593,66 ± 330,74 g/dia. Entre os menores e maiores consumidores de frutas, os valores de glicemia (169,42 ± 70,83 vs. 158,62 ± 64,56 mg/dL; p = 0,273) e hemoglobina glicada (8,39 ± 1,68 vs. 8,68 ± 2,38%; p = 0,319) não foram diferentes, assim como as demais variáveis. Os pacientes com maior consumo de frutas apresentaram maior ingestão de energia (p < 0,001), carboidratos (p < 0,001) e fibras (p = 0,006) e uma menor ingestão de proteínas (p = 0,015), lipídeos totais (p = 0,040) e seus tipos. O grupo que mais consumiu frutas apresentou uma maior ingestão de vitamina C (p < 0,001) e potássio (p < 0,001) e um menor consumo de sódio (p = 0,001). Foi observado ainda uma correlação negativa entre o consumo de frutas e o índice glicêmico da dieta (p = 0,05).Conclusão: Não houve diferença na glicemia em jejum e no valor de hemoglobina glicada entre os pacientes com DM2 com maior e menor consumo de frutas.

Introduction: The impact of fruit consumption on the health of patients with type 2 diabetes mellitus (T2DM) warrants investigation. The aim of this study was to evaluate fruit consumption in patients with T2DM and to identify its association with glycemic control parameters.Methods: We included 197 outpatients with T2DM who underwent clinical, sociodemographic, anthropometric, laboratory, and food consumption assessments. A food frequency questionnaire was used to assess total food intake and fruit consumption. Patients with lower and higher fruit consumption (according to the median) were compared.Results: Average fruit consumption was 593.66 ± 330.74 g/day. Blood glucose (169.42 ± 70.83 vs. 158.62 ± 64.56 mg/dL; p = 0.273) and glycated hemoglobin (8.39 ± 1.68% vs. 8.68 ± 2.38%; p = 0.319) levels did not differ between the lower and higher fruit consumption groups, nor did the other variables. Patients with higher fruit consumption had a higher intake of energy (p < 0.001), carbohydrates (p < 0.001), and fibers (p = 0.006) but a lower intake of proteins (p = 0.015) and total and different types of lipids (p = 0.040). The higher consumption group had higher vitamin C (p < 0.001) and potassium (p < 0.001) intake and lower sodium intake (p = 0.001). We identified a negative correlation between fruit consumption and the diet's glycemic index (p = 0.05).Conclusion: Fasting blood glucose and glycated hemoglobin levels did not differ between the higher and lower fruit consumption groups.

Description of a Nutrition Screening and Assessment Tool and Associations with Clinical Outcomes in Preterm Newborns.

BACKGROUND: Preterm newborns have higher nutrition risk and mortality. Nutrition risk screening enables early intervention. This article evaluates a nutrition screening tool in a neonatal intensive care unit (NICU). METHOD: Retrospective longitudinal study of preterm newborns (aged <37 weeks) in a NICU in Brazil from May 2018 to January 2019. Weight, length, and head circumference (HC) were analyzed. Nutrition screening was defined by care levels (CLs). Outcomes analyzed were bronchopulmonary dysplasia (BPD), peri-intraventricular hemorrhage (PIVH), retinopathy of prematurity (ROP), late sepsis, length of stay, mortality, and time receiving enteral and parenteral nutrition. RESULTS: Data on 110 newborns were studied, with median gestational age 34 (31-35) weeks, mean weight 1914.92 g (±657.7), length 42.2 cm (±4.45), and HC 29.9 cm (±2.97). Most (82.7%) of them were adequate for gestational age. Screening classifications were 41.8% (n = 46) at CL 2, 41.8% (n = 46) at CL 3, and 16.4% (n = 18) at CL 4. CL 3 and CL 4 patients had higher frequencies of BPD (P = .003), ROP (P = .027), and PIVH (P = .006) and longer enteral time (P < .001) and length of stay (P < .001). All mortality occurred in CL 4 patients (P < .001). CONCLUSIONS: CL 3 and CL 4 patients had more BPD, ROP, PIVH, and mortality and longer enteral nutrition. Hospital stay was longer for CL ≥3 than CL 2 patients. Patients classified as CL 3 and CL 4 by the nutrition screening tool may have higher nutrition risk.

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.

Association between progranulin serum levels and dietary intake.

INTRODUCTION: Progranulin (PGRN) is secreted by adipose tissue and has been linked to obesity, insulin resistance and type 2 diabetes mellitus. There is evidence that a high fat diet increases PGRN expression in rodent adipose tissue. In humans, the relationship between diet composition and concentration of PGRN is still unknown. OBJECTIVE: To investigate the association between dietary intake and serum PGRN levels. METHODS: This is an exploratory cross-sectional study including 85 subjects. Demographic, clinical, laboratory and anthropometric data were collected. Serum PGRN was determined by enzyme-linked immunosorbent assay after overnight fasting. Dietary intake was assessed by food frequency questionnaire validated for Brazilian southern population. Focused principal component analyses (FPCA) was used to verify the association of dietary components and food groups with PGRN levels. Sensitivity analyses were performed including only subjects with reporting according to the Goldberg and Black cut-offs of energy intake-energy expenditure ratio between 0.76 and 1.24. RESULTS: The median PGRN was 51.96 (42.18 to 68.30) ng/mL. Analyzing all sample, the FPCA showed no association of serum PGRN with total energy, protein, carbohydrate, fat and its types, fiber intake and dietary glycemic index; but a significant and positive association between solid fats and PGRN levels (p<0.05). Including only subjects with reporting according cut-off of energy intake-energy expenditure ratio between 0.76 and 1.24, FCPA showed significant and positive association of serum PGRN with saturated fatty acids and solid fats intake (p<0.05). In this subgroup, PGRN correlated with saturated fatty acids (r = 0.341; p = 0.031). Solid fats intake was independently associated to serum PGRN (beta = 0.294; p = 0.004) in multivariate model. CONCLUSION: The dietary intake of solid fats, mainly represented by saturated fatty acids, is associated to serum PGRN concentration in human subjects.

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.

Incidence of cancer following bariatric surgery: systematic review and meta-analysis.

Obesity is linked to the development of cancer. Previous studies have suggested that there is a relationship between bariatric surgery and reduced cancer risk. Data sources were from Medline, Embase, and Cochrane Library. From 951 references, 13 studies met the inclusion criteria (54,257 participants). In controlled studies, bariatric surgery was associated with a reduction in the risk of cancer. The cancer incidence density rate was 1.06 cases per 1000 person-years within the surgery groups. In the meta-regression, we found an inverse relationship between the presurgical body mass index and cancer incidence after surgery (beta coefficient -0.2, P < 0.05). Bariatric surgery is associated with reduced cancer risk in morbidly obese people. However, considering the heterogeneity among the studies, conclusions should be drawn with care.

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.

Micronutrientes antioxidantes e risco cardiovascular em pacientes com diabetes: uma revisão sistemática / Antioxidant micronutrients and cardiovascular risk in patients with diabetes: a systematic review

FUNDAMENTO: Associações inversas entre a ingestão de micronutrientes e desfechos cardiovasculares foram demonstradas previamente na população geral. OBJETIVO: Revisar sistematicamente o papel de micronutrientes no desenvolvimento/presença de desfechos cardiovasculares em pacientes com diabetes. MÉTODOS: Foi realizada uma busca nas bases de dados Medline, Embase e Scopus (Janeiro/1949-Março/2012) por estudos observacionais que avaliaram micronutrientes antioxidantes e desfechos cardiovasculares em pacientes com diabetes e, em seguida, os dados foram selecionados e extraídos (dois revisores independentes). RESULTADOS: Dos 15658 estudos identificados, cinco foram incluídos, sendo três de caso-controle e dois de coorte, com um acompanhamento de 7-15 anos. Uma metanálise não foi realizada devido aos diferentes micronutrientes antioxidantes (tipos e métodos de medição) e os desfechos avaliados. Os micronutrientes avaliados foram: vitamina C (dieta e/ou suplementação), cromo e selênio em amostras de unha, e α-tocoferol e zinco no soro. A ingestão de > 300 mg de vitamina C a partir de uplementos esteve associada a um risco aumentado de doença cardiovascular, doença arterial coronariana (DAC) e acidente vascular cerebral (RR 1,69-2,37). Altos níveis de α-tocoferol no soro foram associados a um risco 30% inferior de DAC em outro estudo (RR 0,71, IC 95% 0,53-0,94). Entre os minerais (zinco, selênio e cromo), foi observada uma associação inversa entre o zinco e a DAC: níveis inferiores a 14,1 μmol/L foram associados a um risco aumentado para DAC (RR 1,70, IC 95% 1,21-2,38). CONCLUSÃO: A informação disponível sobre essa questão é escassa. Estudos prospectivos adicionais são necessários para elucidar o papel desses nutrientes no risco cardiovascular de pacientes com diabetes.

BACKGROUND: Inverse associations between micronutrient intake and cardiovascular outcomes have been previously shown, but did not focus on diabetic patients. OBJECTIVE: To systematically review the role of micronutrients in the development/presence of cardiovascular outcomes in patients with diabetes. METHODS: We searched Medline, Embase, and Scopus (January/1949-March/2012) for observational studies that evaluated micronutrients and cardiovascular outcomes in patients with diabetes, and then selected and extracted the data (two independent reviewers). RESULTS: From the 15 658 studies identified, five were included, comprising three case-control and two cohorts, with a follow-up of 7-15 years. A meta-analysis was not performed due to the different antioxidant micronutrients (types and measurement methods) and outcomes evaluated. The micronutrients assessed were vitamin C intake in diet and/or supplementation, chromium and selenium in toenail samples, and α-tocopherol and zinc in serum levels. Intake of >300 mg of vitamin C through supplementation was associated with increased risk of cardiovascular disease, coronary artery disease (CAD), and stroke (RR 1.69-2.37). High levels of α-tocopherol in serum were associated with 30% lower CAD risk in another study (HR 0.71; 95%CI 0.53-0.94). Among minerals (zinc, selenium, and chromium), an inverse association between zinc and CAD was observed; levels lower than 14.1 µmol/L were associated with an increased risk for CAD (RR 1.70; 95%CI 1.21-2.38). CONCLUSION: The information available on this issue is scarce. Further prospective studies are needed to elucidate the role of these nutrients in the cardiovascular risk of patients with diabetes.

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.

Antioxidant micronutrients and cardiovascular risk in patients with diabetes: a systematic review.

BACKGROUND: Inverse associations between micronutrient intake and cardiovascular outcomes have been previously shown, but did not focus on diabetic patients. OBJECTIVE: To systematically review the role of micronutrients in the development/presence of cardiovascular outcomes in patients with diabetes. METHODS: We searched Medline, Embase, and Scopus (January/1949-March/2012) for observational studies that evaluated micronutrients and cardiovascular outcomes in patients with diabetes, and then selected and extracted the data (two independent reviewers). RESULTS: From the 15 658 studies identified, five were included, comprising three case-control and two cohorts, with a follow-up of 7-15 years. A meta-analysis was not performed due to the different antioxidant micronutrients (types and measurement methods) and outcomes evaluated. The micronutrients assessed were vitamin C intake in diet and/or supplementation, chromium and selenium in toenail samples, and α-tocopherol and zinc in serum levels. Intake of >300 mg of vitamin C through supplementation was associated with increased risk of cardiovascular disease, coronary artery disease (CAD), and stroke (RR 1.69-2.37). High levels of α-tocopherol in serum were associated with 30% lower CAD risk in another study (HR 0.71; 95%CI 0.53-0.94). Among minerals (zinc, selenium, and chromium), an inverse association between zinc and CAD was observed; levels lower than 14.1 µmol/L were associated with an increased risk for CAD (RR 1.70; 95%CI 1.21-2.38). CONCLUSION: The information available on this issue is scarce. Further prospective studies are needed to elucidate the role of these nutrients in the cardiovascular risk of patients with diabetes.