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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.

RESUMEN

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.

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RESUMEN

High postprandial glycemia in the non-diabetic population is one of the known universal mechanisms for the progression of noncommunicable diseases (NCDs), which have impacted the finances of both individuals and of health systems. In order to highlight the role of carbohydrates in glycemic control and its implications on health, the International Life Sciences Institute Brazil held an international workshop on "Carbohydrates, Glycemia and Health". Carbohydrate digestion rate is related to glycemic response, which mainly depends on the quality and amount of carbohydrate ingested, and thus it may be modulated by intrinsic and extrinsic factors. These effects can be verified by using different methods which evidence how physiology adapts in the uptake of glucose. Consumers can be aided with the knowledge/awareness of the benefits of high postprandial glycemia control in non-diabetic subjects. Multisectorial actions can contribute to decrease the onset and worsening of NCDs. A strategy indicated to the public in general to expand the availability of products that do not result in a sudden increase of postprandial plasma glucose and/or insulin would be to use alternative ingredients and/or technology in addition to making the legally allowed communication of benefits, which are supported by scientific studies.

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