What is Known About Dietary Interventions and Body Weight Management After Kidney Transplantation? A Scoping Review.

OBJECTIVE: Several studies report weight gain after kidney transplantation, which is commonly related to poor outcomes. However, recommendations for dietary interventions aiming to manage these patients' weight are still scarce in the literature. Thus, this review seeks to describe the state of literature on the effect of dietary interventions on weight after kidney transplantation. DESIGN: Scoping review. METHODS: This review was designed according to the recommendations for scoping reviews elaborated by the Joanna Briggs Institute. Studies assessing the effect of dietary interventions on body weight after kidney transplantations were searched in MEDLINE, EMBASE, and Clinicaltrials.gov databases up to June 28, 2021. Two independent reviewers summarized the data collected. RESULTS: Thirteen (503 patients) of the 4.983 articles identified in the searched databases were included in our study. Most studies were published before 2010 and presented incomplete methodology descriptions. Nutritional counseling and dietary prescriptions according to the Step 1 diet of the American Heart Association (AHA) were the most common interventions. Only 2 studies evaluated changes in body weight as primary outcome. Three studies were randomized clinical trials (RCT), and none of these found the adopted interventions to demonstrate benefits. CONCLUSION: Our scoping review evinced a scarcity of data available in the literature addressing this topic. Most studies were not controlled and presented poor methodological quality. Moreover, these studies included small sample sizes, so that the assessment of dietary interventions in these patients still lacks power for definitive conclusions. Prospective RCT should be conducted to define effective in preventing weight gain or weight loss after kidney transplant.

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.

Supplementation of Probiotics and Its Effects on Physically Active Individuals and Athletes: Systematic Review.

The aim of this study was to conduct a systematic review of the effects of probiotic supplementation on physically active individuals. The participants, interventions, comparisons, outcome and study design inclusion criteria were (a) studies involving healthy adults or older subjects of both sexes who did physical exercise (including athletes and physically active individuals), (b) interventions with probiotics, (c) inclusion of a control group, (d) outcomes not previously defined, and (e) clinical trials and randomized clinical trials, with no language or date restrictions. The search was conducted in the following scientific databases: MEDLINE, Embase, SciELO, Scopus, and Lilacs. Search terms were "Probiotics" OR "Prebiotics" OR "Microbiota" AND "Exercise" OR "Athletes." The articles were first screened by title and abstract by two independent reviewers and disagreements resolved by a third reviewer. Data were extracted independently by the same two reviewers; results were extracted in duplicate and then compared to avoid errors. A total of 544 articles were retrieved and 24 were included. A total of 1,680 patients were included, most of them being male (n = 1,134, 67.5%), with a mean age of 30.9 ± 6.1 years. Following probiotic supplementation, positive effects have been reported for several outcomes including respiratory tract infection, immunologic markers, and gastrointestinal symptoms in both athletes and nonathletes. However, published studies have distinct protocols and measured outcomes, and some of them have small sample size and failed to prove beneficial effect on probiotic supplementation, leading to inconclusive results for standardized supplementation protocols.