Body composition in older acute stroke patients after treatment with individualized, nutritional supplementation while in hospital

<p>Abstract</p> <p>Background</p> <p>Individualized, nutritional support reduced undernutrition among older stroke patients and improved quality of life in our recent randomized, controlled trial. Weight control thus seems to be important after stroke, and methods for monitoring nutritional status need to be simple and non-invasive. Here we aimed to assess if the nutritional intervention altered body composition in men and women in this study cohort, and also to examine the correlation between the methods for assessing body-, fat- and fat-free mass.</p> <p>Methods</p> <p>Acute stroke patients > 65 years at nutritional risk were randomized to either individualized, nutritional treatment with energy- and protein rich supplementation (intervention, n = 58) or routine, nutritional care (control, n = 66) while in hospital. Body composition was assessed with anthropometry and bioelectrical impedance. The follow-up period was three months.</p> <p>Results</p> <p>During the first week while in hospital, weight loss was smaller in the intervention group compared with the controls (P = 0.013). After three months weight- and fat loss were significant in both men and women. Whereas no significant differences were found in changes in body composition between the male study groups, in the women both weight loss (P = 0.022) and fat loss (P = 0.005) was smaller in the intervention group compared with the controls. A high correlation (r = 0.87) between mid upper arm circumference (MUAC) and body mass index (BMI) was found.</p> <p>Conclusions</p> <p>Individualized nutritional support to older stroke patients in hospital was beneficial for maintaining an adequate body mass and body composition the first week and seemed to have a preventive effect on fat loss among women, but not among men after three months. Measurement of MUAC may be used in the assessment of nutritional status when BMI cannot be obtained.</p> <p>Trial registration</p> <p>This trial is registered with ClinicalTrials.gov, number NCT00163007.</p

Statistical Methods Used to Test for Agreement of Medical Instruments Measuring Continuous Variables in Method Comparison Studies: A Systematic Review

BACKGROUND: Accurate values are a must in medicine. An important parameter in determining the quality of a medical instrument is agreement with a gold standard. Various statistical methods have been used to test for agreement. Some of these methods have been shown to be inappropriate. This can result in misleading conclusions about the validity of an instrument. The Bland-Altman method is the most popular method judging by the many citations of the article proposing this method. However, the number of citations does not necessarily mean that this method has been applied in agreement research. No previous study has been conducted to look into this. This is the first systematic review to identify statistical methods used to test for agreement of medical instruments. The proportion of various statistical methods found in this review will also reflect the proportion of medical instruments that have been validated using those particular methods in current clinical practice. METHODOLOGY/FINDINGS: Five electronic databases were searched between 2007 and 2009 to look for agreement studies. A total of 3,260 titles were initially identified. Only 412 titles were potentially related, and finally 210 fitted the inclusion criteria. The Bland-Altman method is the most popular method with 178 (85%) studies having used this method, followed by the correlation coefficient (27%) and means comparison (18%). Some of the inappropriate methods highlighted by Altman and Bland since the 1980s are still in use. CONCLUSIONS: This study finds that the Bland-Altman method is the most popular method used in agreement research. There are still inappropriate applications of statistical methods in some studies. It is important for a clinician or medical researcher to be aware of this issue because misleading conclusions from inappropriate analyses will jeopardize the quality of the evidence, which in turn will influence quality of care given to patients in the future

Aplicabilidade do indice adiposidade corporal na estimativa do percentual de gordura de jovens mulheres brasileiras

INTRODUÇÃO: A estimativa da composição corporal é um campo de estudo importante no prognóstico e diagnóstico de enfermidades degenerativas. OBJETIVO: Analisar a aplicabilidade do Índice de adiposidade corporal (IAC) e o método de dobras cutâneas. MÉTODOS: A amostra foi constituída por 19 adultas jovens com média de idade 24,53 ± 2,65 anos, submetidas à avaliação antropométrica (circunferências e dobras cutâneas) e absorsiometria por dupla emissão de raio X (DXA). Os valores estimados foram comparados ao valor de referência por meio do teste t pareado e pela análise do nível de associação entre os métodos pela correlação de Pearson; o nível de significância foi p 0,05) com nível de associação forte (r = 0,879). CONCLUSÃO: Embora o IAC não apresente diferença para os valores estimados, fica evidente a necessidade de mais estudos sobre a aplicabilidade do método na população brasileira