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.

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.

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.

Background: Health care workers are exposed to a high workload, resulting in an increase of job tasks and reduced physical activity, with consequent impairment of their quality of life. Physical activity is essential to improve motor skills and performance at work, and contributes to a healthy lifestyle. Objective: To analyze the relationship between quality of life and physical activity among Family Health Support Unit (FHSU) workers. Methods: We analyzed 19 FHSU workers aged 31.05±6.63 years old at the three FHSUs in Vitória de Santo Antão, Pernambuco, Brazil. For data collection we administered WHOQOL-BREF and Baecke’s questionnaire. Normality was investigated by means of the Shapiro-Wilk test and data were subjected to the Pearson correlation. Results: We found positive correlation between the global score on physical activity and the scores on exercise and active leisure (r=0.852, p<0.001) and work/school activity (r=0.611, p<0.001) domains and between quality of life physical health domain and the global score on usual physical activity (r=0.520, p<0.05). We further found significant correlation between years in the job and the physical activity exercise and active leisure domain (r=-0.649, p<0.001) and physical activity at work (r=-0.559, p<0.05). Conclusion: The results evidence significant correlation between physical activity and quality of life. Physical activity is essential to ensure continuity in job tasks, in addition to beneficial effects on social aspects.

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Children with a deficit of growth because of perinatal malnutrition present specificities in the percentage of body fat (%BF) that could not be detected by previous fat mass-based equations. This study developed and validated predictive equations of the %BF derived from anthropometric variables in children aged 7 to 10 living in Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as a reference. Body composition data from 58 children were utilized. DXA was used as a reference. A stepwise (forward) multiple regression statistical model was used to develop the new equations. The Bland-Altman analysis (CI: 95%), paired Student's t-test, and the intraclass correlation coefficient (ICC) was used to validate and compare the developed equations. Two new equations were developed for either gender: boys: %BF: 13.642 + (1.527*BMI) + (-0.345*Height) + (0.875*Triceps) + (0.290* Waist Circumference) and girls: %BF: -13.445 + (2.061*Tight). The Bland-Altman analysis showed good agreement, with limits ranging from -1.33 to 1.24% for boys and -3.35 to 4.08% for girls. The paired Student’s t-test showed no difference between %BF-DXA and the two new equations (p> 0.05), and the ICC was 0.948 and 0.915, respectively. DXA-based anthropometric equations provide an accurate and noninvasive method to measure changes in the %BF in children.

Background: Ultra-processed foods (UPFs) consumption is associated with pediatric overweight and obesity. Aim: To evaluate the UPFs consumption in children classified either as eutrophic or with excess weight (overweight and obesity). It was also described the fasting plasma glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) and the correlation between UPFs consumption and cardiometabolic risk factors. Methods: A total of 139 children aged 7–10years of both sexes, living in Northeast Brazil were classified as eutrophic ( n = 65) or excess weight ( n = 62). Waist circumference (WC), percentage of body fatness (% BF), fat-free-mass and fat mass were evaluated. Fasting blood sample were collected for biochemical analysis. Food consumption was classified according to the degree of processing. Results: Children with excess weight had a reduction in plasma HDL concentration (45.00; IQR:36.00–54.50 mg/dL vs. 40.00; IQR:35.75–45.25 mg/dL; p = 0.021) and an increase in blood glucose (82.00; IQR:79.00–86.00 mg/dL vs. 86.00; IQR:81.00–90.00 mg/dL; p < 0.001) and TG (64.00; IQR:45.00–92.50 mg/dL vs. 81.00; IQR:57.50–111.75 mg/dL; p < 0.021) when compared with the eutrophic children. UPFs accounted for 43.43% of the total calories consumed by children. Children with excess weight had higher total energy consumption resulting from consumption of UPFs (714.30 ± 26.32 kcal vs. 848.06 ± 349.46 kcal; p = 0.011). The absolute consumption of the UPFs showed a positive correlation with WC ( r = 0.202; p = 0.023) and %BF ( r = 0.198; p = 0.026). Conclusion: UPFs consumption was higher for children with excess weight and positively correlated with two cardiometabolic risk factors, suggesting the need for strengthening public policies that discourage the consumption of these foods.