GLIM criteria to identify malnutrition in patients in hospital settings: A systematic review.

Malnutrition is recognized as one of the main public health problems in hospitals. The Global Leadership Initiative on Malnutrition (GLIM) has established a global consensus on the criteria for diagnosing malnutrition in adults in hospital settings. This study aimed to evaluate the ability of the GLIM criteria as a tool to identify malnutrition in hospital settings and to compare the prevalence of malnutrition identified by GLIM criteria with that identified by other screening and/or nutrition assessment methods.

Overweight and abdominal fat are associated with normal bone mineral density in patients with ulcerative colitis.

Background: Low bone mineral density (BMD) is common in patients with inflammatory bowel disease. However, nutritional risk factors for low BMD in the ulcerative colitis (UC) population are still poorly understood.

Aim: To investigate the association of anthropometric indicators and body composition with BMD in patients with UC.

Performance of adiposity indicators in predicting metabolic syndrome in older adults.

Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex.

Methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria.

The use of bioelectrical impedance vector analysis for a nutritional evaluation of older adults in the community.

Introduction: The body composition of an older adult person is characterized by an increase in body fat, as well as by a reduction in both muscle mass and total body water. The bioelectrical impedance vector analysis (BIVA) overcomes the limits imposed by bioelectrical impedance, since it only requires the resistance (R) and reactance (Xc) values, standardized by the individual's height, which makes the method more individualized and accurate. The aim of this study was to evaluate the body composition using the BIVA of the community-living older adults, with regard to sex and body mass index (BMI) classification, and compare the results with the reference population.

Comparison of Equations to Predict Energy Requirements With Indirect Calorimetry in Hospitalized Patients.

Background: The accuracy of methods to determine resting energy expenditure (REE) contributes toward the adequate provision of nutrition support to hospitalized patients. Indirect calorimetry (IC) is considered the gold-standard method to determine REE. The aim of this study is to evaluate the degree of agreement between the REE measured by IC (REE-IC) and REE estimated by predictive equations in intensive care unit patients.

The relation between adolescents' body mass index and bone age.

Introduction: adolescents' health and nutritional status is demonstrated in the quality of their growth and development. Bone age (BA) is the skeletal development index, which reflects an individual's maturation and is considered as the best expression of human development. Poor nutritional conditions, which extend for long periods, may influence bone development, causing a delay in BA, in relation to chronological age (CA).

Indicators of Adiposity Predictors of Metabolic Syndrome in the Elderly.

Background: Adiposity indicators can be used as predictors of cardiovascular risk in the elderly. However, there are only a very few studies that deal with the accuracy of adiposity indicators as predictors of metabolic syndrome (MS) in the elderly. We evaluated the performance of adiposity indicators of MS prediction in the elderly.

Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly.

Background: Visceral obesity is associated with higher occurrence of cardiovascular events. There are few studies about the accuracy of anthropometric clinical indicators, using Computed Tomography (CT) as the gold standard. We aimed to determine the accuracy of anthropometric clinical indicators for discrimination of visceral obesity.

Methods of predicting visceral fat in Brazilian adults and older adults: a comparison between anthropometry and computerized tomography.

Visceral adipose tissue (VAT) is linked with the metabolic consequences of obesity, being necessary the use alternative methods of predicting this type of fat, like anthropometry. The objective of this study was assess the performance of anthropometry in predicting visceral fat measured with computerized tomography in adults and older adults. Study transversal with 197 individuals underwent computerized tomography (CT) and anthropometry.