Composición corporal en escolares: comparación entre métodos antropométricos simples e impedancia bioeléctrica

Tovar-Galvez, María I.; González‐Jiménez, Emilio; Martí‐García, Celia

doi:10.1016/j.endinu.2017.05.011

Cited by 8 publications

(9 citation statements)

References 25 publications

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“…In the case of %BF, we found a greater number of girls with higher adiposity than boys. Our results agree with other previous studies [45,46] and was able to verify the long differences well-known for %BF [47]. Nevertheless, we must consider that we used the Siri's equation [33] that measures four skinfolds of upper body (biceps, triceps, subscapular, and suprailiac) without considering the lower body, which could modify this results.…”

Section: Discussionsupporting

confidence: 91%

“…Nevertheless, we must consider that we used the Siri's equation [33] that measures four skinfolds of upper body (biceps, triceps, subscapular, and suprailiac) without considering the lower body, which could modify this results. At the same time, another aspect that could have influenced this is the fact that the Siri's equation [33] seems to overestimate the %BF between boys and girls, according to some studies [46,48].…”

Section: Discussionmentioning

confidence: 99%

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Sociodemographic Correlates of Obesity among Spanish Schoolchildren: A Cross-Sectional Study

et al. 2020

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Some studies have been conducted in order to assess the association between weight status (assessed by body mass index) and socio-demographic factors. Nevertheless, only a few of them have indicated these associations by other anthropometric parameters (e.g., skinfolds). The aim of this study was to determine, compare, and examine the influence of age, sex, type of the schooling, per capita income, area of residence, and immigrant status on obesity parameters in schoolchildren aged 6–13 from the Region of Murcia. A cross-sectional study was carried out in six different Primary schools of the Region of Murcia (Spain). A total sample of 370 children (166 girls) aged 6–13 (8.7 ± 1.8) were selected. In order to determine participants’ body composition, body mass index, waist circumference, waist-to-height ratio, and skinfold measurements were calculated. Higher associations of excess of weight (OR = 1.96; 95%CI = 1.19–3.20) and abdominal obesity (OR = 3.12; 95CI% = 1.49–6.94) were shown in the case of children from public schools. A greater association of high trunk fat mass was found in children from municipalities with high per capita income (OR = 3.20; 95%CI = 1.05–9.77). Therefore, lower association of having an inadequate %BF was found in the participants aged 6–9 (OR = 0.38; 95%CI = 0.24–0.54), and immigrant students (OR = 2.63; 95%CI = 1.69–4.10). Our study suggested that overweight/obesity among schoolchildren in the Region of Murcia is higher than the overall prevalence of Spain. The results of the adjusted analyses showed that age, type of schooling, per capita income, and immigrant status were associated with obesity parameters.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Sociodemographic Correlates of Obesity among Spanish Schoolchildren: A Cross-Sectional Study

et al. 2020

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“…As mentioned above, anthropometric characteristics have been shown to be decisive in youth and adult team handball [6,12,14]. Traditionally, body mass index (BMI) and indirect fat mass calculation are used to assess body composition in handball youths, but due to the limitations of this parameter (i.e., BMI correlates not only with fat mass but also with lean mass; moreover, BMI gives no indication of body fat distribution), in recent years, there has been a need for more precise techniques [15]. Although the most recent research [6,7] showed a relationship between the performance of both upper and lower limb strength and the majority of the anthropometric characteristics of male handball players (body mass, height, or indirect fat percentage calculation), there are no studies that analyze the different body compartments with more precise techniques, such as multi-frequency bioelectrical impedance analysis, and their influence on each one of the analyzed abilities.…”

Section: Introductionmentioning

confidence: 99%

Mediation Effect of Age Category on the Relationship between Body Composition and the Physical Fitness Profile in Youth Handball Players

Molina-López

Zarzuela

Padilla

et al. 2020

IJERPH

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The aims of the present study were (1) to determine the differences in body composition and the physical and physiological profile of handball youths across age categories, and (2) to analyze the mediation effect of different categories on the relationship between lean mass or fat mass and specific physical handball capacities. Fifty-four young handball players aged 13 to 18 were assigned to U14 (13- and 14-year-olds), U16 (15- and 16-year-olds), and U18 (17- and 18-year-olds). Body composition was measured using multi-frequency bioelectrical impedance (Inbody®, 230). Handball physical fitness was assessed using handgrip force, jumping tests (squat jump, countermovement jump, countermovement jump with aimed arms), a 30-m sprint, a change-of-direction test (T-half agility test and modified Illinois test), and a Yo-Yo intermittent recovery test level 1. Simple mediation analysis was performed to analyze whether the category mediated the relationship between lean mass or fat mass and physical capacities. No significant differences were observed according to category for the majority of the measured parameters, except for height, lean body mass, and arm span. Lean body mass increased significantly as player category increased (p < 0.05; ∆ = 4.66–9.38; effect size (ES) = 0.96–1.92). The increase in handball category enhanced the majority of the physical capacities evaluated; however, these differences were reduced between the U16 vs. U18 categories. The indirect mediation effect suggests that handball category mediated the relationship between lean mass and upper and lower strength, velocity, agility, and cardiorespiratory fitness. In contrast, an indirect effect suggests that category mediated the relationship between fat mass only in agility and cardiorespiratory fitness. We conclude that U18s showed better body composition parameters, as well as better physical performance scores. Handball category clearly mediated the relationship between body composition through lean mass and fat mass and the physiological profile in handball youth, but lean mass proved to be more relevant when mediating physical performance.

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“…There are several techniques for assessing body composition, among which bioimpedance (BIA) stands out, which is a fast, portable, and non-invasive method that uses the principle of electrical impedance. Moreover, it has little technical difficulty and high correlation with dual energy X-ray absorptiometry (DXA), and its use is indicated in epidemiological studies and clinical practice [7,8,9,10,11]. However, the use of anthropometric parameters is still more viable due to their low cost when compared to BIA.…”

Section: Introductionmentioning

confidence: 99%

Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables

Sousa

Santana

Lopes

et al. 2019

IJERPH

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Background: Excess body fat has been growing alarmingly among adolescents, especially in low income and middle income countries where access to health services is scarce. Currently, the main method for assessing overweight in adolescents is the body mass index, but its use is criticized for its low sensitivity and high specificity, which may lead to a late diagnosis of comorbidities associated with excess body fat, such as cardiovascular diseases. Thus, the aim of this study was to develop a computational model using linear regression to predict obesity in adolescents and compare it with commonly used anthropometric methods. To improve the performance of our model, we estimated the percentage of fat and then classified the nutritional status of these adolescents. Methods: The model was developed using easily measurable socio-demographic and clinical variables from a database of 772 adolescents of both genders, aged 10–19 years. The predictive performance was evaluated by the following metrics: accuracy, sensitivity, specificity, and area under ROC curve. The performance of the method was compared to the anthropometric parameters: body mass index and waist-to-height ratio. Results: Our model showed a high correlation (R = 0.80) with the body fat percentage value obtained through bioimpedance. In addition, regarding discrimination, our model obtained better results compared to BMI and WHtR: AUROC = 0.80, 0.64, and 0.55, respectively. It also presented a high sensitivity of 92% and low false negative rate (6%), while BMI and WHtR showed low sensitivity (27% and 9.9%) and a high false negative rate (65% and 53%), respectively. Conclusions: The computational model of this study obtained a better performance in the evaluation of excess body fat in adolescents, compared to the usual anthropometric indicators presenting itself as a low cost alternative for screening obesity in adolescents living in Brazilian regions where financial resources are scarce.

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Composición corporal en escolares: comparación entre métodos antropométricos simples e impedancia bioeléctrica

Cited by 8 publications

References 25 publications

Sociodemographic Correlates of Obesity among Spanish Schoolchildren: A Cross-Sectional Study

Sociodemographic Correlates of Obesity among Spanish Schoolchildren: A Cross-Sectional Study

Mediation Effect of Age Category on the Relationship between Body Composition and the Physical Fitness Profile in Youth Handball Players

Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables

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