Nobre, GG, de Almeida, MB, Nobre, IG, dos Santos, FK, Brinco, RA, Arruda-Lima, TR, de-Vasconcelos, KL, de-Lima, JG, Borba-Neto, ME, Damasceno-Rodrigues, EM, Santos-Silva, SM, Leandro, CG, and Moura-dos-Santos, MA. Twelve weeks of plyometric training improves motor performance of 7- to 9-year-old boys who were overweight/obese: a randomized controlled intervention. J Strength Cond Res 31(8): 2091-2099, 2017-The prevalence of childhood overweight/obesity has increased, and physical training at school may to be effective to combat this scenario. We analyzed the effects of a protocol of plyometric training on body composition and motor performance of boys who were overweight/obese aged 7-9 years. The sample was randomly assigned into 2 groups: plyometric training group (T, n = 40) and control group (C, n = 19). Training consisted of 20 min·d (twice a week, during 12 weeks) of lower extremity plyometric exercise. Health-related physical fitness was measured by handgrip strength, standing long jump (SLJ), curl-ups, sit and reach, square test, running speed, and mile run test. Gross motor coordination was evaluated by means of the Körperkoordinations-test für Kinder (KTK) tests. Baseline and postintervention differences were investigated, and effect size was estimated through Cohen's d coefficient. Both groups showed increased body weight, height, and sitting height after intervention with a negligible effect size. Only T group showed increased fat-free mass (p = 0.011) compared with baseline values with small effect size. Plyometric training improved handgrip strength (d = 0.23), sit and reach (d = 0.18), curl-ups (d = 0.39), SLJ (d = 0.80), agility (d = 0.48), and time in the mile run test (d = 0.38). For gross motor coordination results, T group showed better performance in all tests after plyometric training with moderate/large effect size. Thus, 12 weeks of PT improved health-related physical fitness components and motor coordination acquisition of 7- to 9-year-old boys who were overweight/obese.

The consumption of ultra-processed foods plays an important role in the development of obesity and hypertension. The present study investigated the association between consumption of food according to the degree of processing and anthropometric indicators of obesity and blood pressure in children. This is a cross-sectional study with 164 children aged 7–10 years. The body mass index (BMI) for age, waist circumference (WC), and waist-to-height ratio (WHtR) was evaluated. Food consumption was analyzed by three 24-h dietary recalls, and classified as: G1—unprocessed or minimally processed; G2—culinary ingredients and processed food; and G3—ultra-processed food. Linear regression analyses were used to investigate the associations among variables. The average energy consumption was 1762.76 kcal/day, split into 45.42%, 10.88%, and 43.70%, provided by G1, G2, and G3, respectively. Adjusted linear regression analyses identified that the caloric contribution of G1 was inversely associated with DBP, showing that for each 10% increase in the energy intake of minimally processed foods, there was a reduction of 0.96 mmHg in the DBP (β:−0.10; 95% CI:−0.19 to −0.01; r2 = 0.20). There was no association between the caloric contribution of food groups and BMI, WC, WHtR, and SBP. Increasing consumption of G1 could be a strategy for the prevention and treatment of hypertension in schoolchildren.

Children with lower physical fitness levels as well as those with lower motor coordination quotient are more likely to be overweight and/or obese. No significant relationship was observed between birth weight and weight status in childhood. Strategies to reduce childhood obesity should consider biological, behavioral, and also environmental predictors.

Systemic arterial hypertension (SAH) is an important risk factor for cardiovascular disease and affects worldwide population. Current environment including life style coupled with genetic programming have been attributed to the rising incidence of hypertension. Besides, environmental conditions during perinatal development such as maternal malnutrition can program changes in the integration among renal, neural, and endocrine system leading to hypertension. This phenomenon is termed phenotypic plasticity and refers to the adjustment of a phenotype in response to environmental stimuli without genetic change, following a novel or unusual input during development. Human and animal studies indicate that fetal exposure to an adverse maternal environment may alter the renal morphology and physiology that contribute to the development of hypertension. Recently, it has been shown that the maternal protein restriction alter the central control of SAH by a mechanism that include respiratory dysfunction and enhanced sympathetic-respiratory coupling at early life, which may contribute to adult hypertension. This review will address the new insights on the maternal diet induced-hypertension that include the potential role of the phenotypic plasticity, specifically the perinatal protein malnutrition, and sympathetic-respiratory overactivity.

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Background: Birthweight (BW) has been associated with anthropometry, body composition and physical fitness during growth and development of children. However, less is known about the mediation effect of those variables on the relationship between BW and basal metabolic rate (BMR) in children. Objective: To analyse the mediation effect of anthropometry, body composition and physical fitness on the association between BW and BMR in children. Methods: In total, 499 children (254 boys, 245 girls) aged 7–10 years were included. Anthropometry (weight, height, head, waist and hip circumferences), body composition (skinfolds thickness, body fat percentage), physical fitness (handgrip strength, flexibility, muscular endurance, muscular explosive power, agility, running speed) and BMR were evaluated. The analyses were conducted by: single-mediator analysis (SMA) and multi-mediator analysis (MMA). Results: The SMA indicates height, head, waist and hip circumferences and handgrip strength as significant mediators of BW on BMR for boys and height, hip circumference and handgrip strength as significant mediators of BW on BMR for girls. In MMA for girls, there were significant indirect effects for height, hip circumference and handgrip strength, with 79.08% of percent mediation. For boys, the head and waist circumferences mediation had a significant indirect effect, with 83.37% of percent mediation. Conclusion: The anthropometric variables associated with BW were body height, head, hip and waist circumferences for boys and body height and hip circumference for girls. The current study provides new evidence that height and handgrip strength during childhood mediated the relationship between BW and BMR.

Introdução: Indivíduos com Diabetes Tipo 2 (DM2) apresentam chances de mortalidade por doenças cardiovasculares três vezes maior que a população em geral. Objetivo: Verificar o efeito de um programa de exercício físico na redução do risco cardiovascular em DM2. Métodos: Foram avaliados 26 indivíduos com DM2, divididos em dois grupos: Grupo Controle (GC:n=17) e Grupo Intervenção (G5:n=9). O Programa de Exercício Físico Supervisionado (PEFS) foi realizado na sessão de fisiologia respiratória da Unifesp e supervisionado por professores de Educação Física. A avaliação do risco cardiovascular foi realizada por meio da medida da circunferência da cintura (CC), IMC e % Gordura (%G). Para análise estatística, utilizaram-se os testes de Wilcoxon e Kruskal Wallis com p≤0,05. Resultados: O GC apresentou aumento da CC, IMC e %G após 20 semanas de treinamento, enquanto o G5 mostrou redução dessas variáveis. Conclusão: Fica claro, para essa amostra, que um PEFS, pode diminuir o risco cardiovascular em DM2.

The relationship between body weight gain and the onset of obesity is linked to environmental and behavioral factors, and may be dependent on biological predisposing. Artificial neural networks are useful predictive tools in the field of artificial intelligence, and can be used to identify risk factors related to obesity. The aim of this study is to establish, based on artificial neural networks, a predictive model for overweight/obesity in children based on the recognition and selection of patterns associated with birth weight, gestational age, height deficit, food consumption, and the physical activity level, TV time and family context. Sample consisted of 149 children (72 = eutrophic and 77 = overweight/obese). Collected data consisted of anthropometry and demographic characteristics, gestational age, birth weight, food consumption, physical activity level, TV time and family context. The gestational age, daily caloric intake and birth weight were the main determinants of the later appearance of overweight and obesity. In addition, the family context linked to socioeconomic factors, such as the number of residents in the household, had a great impact on excess weight. The physical activity level was the least important variable. Modifiable risk factors, such as the inadequate food consumption, and non-modifiable factors such as gestational age were the main determinants for overweight/obesity in children. Our data indicate that, combating excess weight should also be carried out from a social and preventive perspective during critical periods of development, such as pregnancy, lactation and early childhood, to reach a more effective strategy to combat obesity and its complications in childhood and adult life.