Anthropometric indicators predict metabolic syndrome diagnosis in maintenance hemodialysis patients

Obesity has been considered the key in metabolic syndrome (MetS) development, and fat accumulation may be responsible for the occurrence of metabolic abnormalities in hemodialysis patients. The use of gold-standard methods to evaluate obesity is limited, and anthropometric measures may be the simplest methods. However, no study has investigated the association between anthropometric indexes and MetS in these patients. Therefore, the aim was to determine which anthropometric indexes had the best association and prediction for MetS in patients undergoing hemodialysis. Cross-sectional study that included patients older than 18 years, undergoing hemodialysis for at least 3 months. Patients with liver disease and cancer or those receiving corticosteroids or antiretroviral therapy were excluded. Diagnostic criteria from Harmonizing Metabolic Syndrome were used for the diagnosis of MetS. Anthropometric indexes evaluated were body mass index (BMI); percent standard of triceps skinfold thickness and of middle arm muscle circumference; waist circumference (WC); sagittal abdominal diameter; neck circumference; waist-to-hip, waist-to-thigh, and waist-to-height ratios; sagittal index; conicity index; and body fat percentage. Ninety-eight patients were included, 54.1% male, and mean age was 57.8 ± 12.9 years. The prevalence of MetS was 74.5%. Individuals with MetS had increased accumulation of abdominal fat and general obesity. Waist-to-height ratio was the variable independently associated with MetS diagnosis (odds ratio, 1.21; 95% confidence interval, 1.09-1.34; P < .01) and that better predicts MetS, followed by WC and BMI (area under the curve of 0.840, 0.836, and 0.798, respectively, P < .01). Waist-to-height ratio was the best anthropometric predictor of MetS in maintenance hemodialysis patients.

A estratégia como prática social: um estudo bibliométrico sobre a evolução do tema no período de 2009 a 2014

This is a bibliometric study on the evolution of research on the topic Strategy as Social Practice, from 2009 to 2014. The general objective is to produce bibliometric indicators that show how scientific studies on the strategy as social practice They have evolved in the Brazilian scene. It was considered as a database articles published on the topic in scientific events EnANPAD and 3Es, both of ANPAD - National Association of Graduate Studies and Research in Administration. Studies in strategy have a traditional and historical approach, rooted in the determination of strategies based on scientific knowledge acquired by the managers of the senior management of organizations. Opposing this trend, there are emerging studies in strategy, seeking to evaluate the strategic practice within organizations in various areas, and on some occasions without a decision expected by the traditional approach strategy. To this end, it conducted a theoretical study, descriptive and quantitative approach being used bibliometrics as a research method. They were selected and analyzed 53 articles using descriptive statistical techniques. The results show that studies on the subject are recent and still needs more specific and aligned studies determining the strategy as a social practice

Indicators to the consumption of electric energy and agriculture cattle farming production for the elaboration of clusters with cities of the state of São Paulo, Brazil

The issue in this matter is that rules for use of electricity in rural areas are limited to the provision of inputs. Adopting guidelines to consider managed sub regions can generate poor results. The focus of this study was to present parameters for indicators of electric energy and agricultural production to allow the formation of city groups in Sao Paulo State, Brazil, with similar electric energy consumption and rural agricultural production. The methodology was the development of indicators that characterize the electric energy consumption/agricultural production and the preparation of groups using indicators with ward of statistical method of groups. The main conclusions were the formation of six homogeneous groups with similar characteristics regarding agricultural production/consumption of electricity. The application of these groups in cities with similar characteristics would produce more satisfactory results than the division of administrative Rural Development Offices (RDO).