Abstract
Objective: the aim of this study is to explore the nutritional status in adults according to usual and non-usual components of body composition. Methods: this is a descriptive study involving a sample of 274 Brazilians adults from the south of the country. The participants had their body composition assessed by an octapolar bioimpedanciometer (InBody 520 - Biospace) and the anthropometric parameters according to the WHO standard. The data was analyzed by the descriptive and inferential statistic with the software SPSS version 22.0. Results: The participants were grouped by nutritional status and sex. There were statistical differences between the groups (both nutritional status and sex) in all the variables, except age and stature. The correlation among the variables were also significant, except for the Lean Body Mass and Body Fat Percentage (LBM vs BFP) and for the Lean-to-Fat-Ratio and Lean Body Mass (LFR vs LBM). Final considerations: The results has shown that the usual and the non-usual parameters of body composition are related (most of them) and were more strongly related in the female group.
Highlights
Obesity is an important independent risk factor for the more prevalent chronic noncommunicable diseases cardiovascular (Hales et al, 2020)
The findings indicate that an increased nutritional status promotes changes in usual and unusual body composition parameters
The body mass index (BMI) is the most widely used weight status measure in epidemiology, clinical care and clinical nutrition because its simplicity (the calculation includes body weight in kilograms divided by the square of an individual's height in meters (Vanavanan et al, 2018)
Summary
Obesity is an important independent risk factor for the more prevalent chronic noncommunicable diseases cardiovascular (Hales et al, 2020). It is increasingly clear that profound changes in skeletal muscle metabolism can occur in obesity and can lead to an altered body composition with greater fat mass and substantial loss of muscle mass (Beals et al, 2016; Guillet et al, 2009; Murton et al, 2015; Smeuninx et al, 2017). In this sense, low or declining muscle mass appears as a negative prognostic factor associated with increased morbidity and mortality in obese patients with chronic diseases (Honda et al, 2007; MontanoLoza et al, 2016)
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