Profile for Body Fat Percentage of Serbian Working Population, Aged from 18 to 65, Measured by Multichannel Bioimpedance Method

Abstract

Obesity prevalence and trends of PBF related to age were defined on a sample of 8100 people among whom, 4955 were male (Age = 31.2 ± 10 yr) and 3145 were female (Age = 32.1 ± 11.3 yr). Body structure measurements were performed using a standardized method of multichannel bioimpedance analysis (BIA), using a body structure analyzer -InBody 720. The total sample was divided into two subsamples according to sex, where every subsample was divided into five different age groups.The mean PBF values of the Male total sample were 18.2 ± 8.0 % and the female total sample was 28.3 ± 9.2 %. Results of Kruskal-Wallis ANOVA with Dwass-Steel-Critchlow-Fligner post-hock showed that there are statistically significant differences (p < 0.001) between all age groups among themselves except groups 50 -60 and 60 -65 (p = 0.09). Analysis of obesity prevalence according to the PBF indicator in different age groups revealed the existence of statistically significant (p < 0.001) trends of increasing obesity with age, both in men and women. Based on the result of this study, it can be concluded that most of the Serbian working population are in the range of normal PBF values, excluding the male 30-39.9 yr and female 60-65 yr age categories as groups which are more prone to obesity levels.

Psychometric properties of the Serbian version of mental toughness Inventory and Dark Triad Dirty Dozen in police students

“…The direction of correlation, where MT scores are negatively related to DT scores, while DT scores are positively related to each other, is also expected, and in accordance with the results of previous studies (Dinić et al, 2018;Jonason & Webster, 2010;Papageorgiou et al, 2019a)According to descriptive indicators (Tables 1 and 2), the participants in the research represented an exceptionally physically and mentally healthy and developed population, with highly developed MT and weakly present DT. It should be noted that the body composition of police officers (BMI = 25.86 kg/m 2 ; PBF = 23.59 %) (Kukic et al, 2018), compared to the general population (BMI = 25.63kg/m 2 ; PBF = 28.3 %) (Dopsaj et al, 2018(Dopsaj et al, , 2021, indicates that they have similar basic indicator about their morphological status, but it is clear that they have much better body structure with a lower level of body fat. This shows that police officers belong to the above-average physically prepared and healthy population, which is one of the important aspects of their selection.…”

Efectos de la dieta mediterránea en medidas antropométricas en una población ecuatoriana

“…Al evaluar la modificación en porcentaje se observó en el caso de las mujeres una reducción de 2.8% y en los hombres del 4% como promedio; lo que refleja que una dieta adecuada, con equilibrio de nutrientes y aportes personalizados de calorías influye favorablemente en el control de los indicadores de composición corporal, lo que resulta particularmente interesante en el porcentaje de grasa, que mide con mayor precisión el nivel de grasa que el índice de masa corporal, pudiendo constituir un predictor de enfermedades cardiovasculares con mayor precisión 16 . Para el análisis de los porcentajes de grasa se ha tomado como referencia para hombres, valores entre 8 y 25% y en las mujeres desde 21 hasta 35% según refieren Dopsaj y Rodríguez 17,18 , aunque dichos valores pueden ser muy variables según la edad y los niveles de actividad física.…”

Perfil metabólico y recomendaciones de entrenamiento físico posterior al confinamiento del COVID-19 en estudiantes de formación de la actividad física y deporte

“…Para Navarrete et al, (2015) el perfil metabólico se determina por el comportamiento de parámetros clínicos y de composición corporal, así como el análisis de la frecuencia de actividad física y hábitos de vida saludable. Existen diferentes métodos para la evaluación del perfil metabólico, basado en la determinación de la alerta metabólica temprana (Chamorro et al, 2018), otros en base a la asociación del índice de masa corporal y relación cintura/estatura con la presión arterial (Diaz & Development, 2021), análisis antropométricos López et al (2020), análisis de pliegues cutáneos, perímetros corporales incluido el perímetro del cuello (Pedreros et al, 2018), métodos de bioempedancia (Dopsaj et al, 2021), entre otros.…”