Cardiorespiratory fitness is negatively associated with metabolic risk factors independently of the adherence to a healthy dietary pattern

Background and aim: Cardiorespiratory fitness (CRF) and diet have been involved as significant factors towards the prevention of cardio-metabolic diseases. This study aimed to assess the impact of the combined associations of CRF and adherence to the Southern European Atlantic Diet (SEADiet) on the clustering of metabolic risk factors in adolescents. Methods and Results: A cross-sectional school-based study was conducted on 468 adolescents aged 15-18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, systolic blood pressure, waits circumference and height. HOMA, TC/HDL-C ratio and waist-to-height ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z scores of all individual risk factors. High risk was considered when the individual had 1SD of this score. CRF was measured with the 20 m-Shuttle-Run- Test. Adherence to SEADiet was assessed with a semi-quantitative food frequency questionnaire. Logistic regression showed that, after adjusting for potential confounders, unfit adolescents with low adherence to SEADiet had the highest odds of having MRS (OR Z 9.4; 95%CI:2.6e33.3) followed by the unfit ones with high adherence to the SEADiet (OR Z 6.6; 95% CI: 1.9e22.5) when compared to those who were fit and had higher adherence to SEADiet.

Fitness function evaluation through fractional algorithms

This paper proposes a Genetic Algorithm (GA) for the design of combinational logic circuits. The fitness function evaluation is calculated using Fractional Calculus. This approach extends the classical fitness function by including a fractional-order dynamical evaluation. The experiments reveal superior results when comparing with the classical method.

Influence of cardiorespiratory fitness and parental lifestyle on adolescents' abdominal obesity

The aims of this study were (1) to analyse the influence of cardiorespiratory fitness (CRF) and parental overweight status (POS) and socioeconomic status (SES) on abdominal obesity. This study was comprised of 779 adolescents (12-18 years). Waist-height ratio (WHtR), 20 m shuttle-run test to ascertain CRF, POS according to World Health Organization recommendations and SES of parents using level of education were analysed. Using WHtR, the prevalence of abdominal obesity was 21.3% (23.5% girls and 17.9% boys; p = 0.062). Regardless of gender, participants who belonged to the WHtR risk group had significantly (p ≤ 0.05) lower CRF scores than the WHtR non-risk group; 84.4% of girls who belonged to the WHtR risk group had one or two overweight parents (p ≤ 0.05). Boys with low CRF (OR: 6.43; CI: 3.33-12.39) were more likely to belong to the WHtR risk group compared with their lean peers. Girls with low CRF (OR: 1.78; CI: 1.14-2.78) and with at least one overweight parent (OR: 2.50; CI: 1.07-5.85) or two overweight parents (OR: 4.90; CI: 2.08-11.54) were associated with the risk of abdominal obesity. This study highlights the influence of adolescents' family on abdominal obesity, especially in girls. Further, the data suggested that low CRF was a strong predictor of risk values of abdominal obesity in adolescence.

The relationship of cardiorespiratory fitness, birth weight and parental BMI on adolescents’ obesity status

The aims of this study were as follows: (1) to analyze differences in cardiorespiratory fitness (CRF), parents' body mass index (BMI) and birth weight (BW) between non-overweight (NOW) and overweight/obese (OV/OB) adolescents, and (2) to investigate the association of those variables with the risk of their biological offspring being OV/OB. This study comprised 788 adolescents (477 girls and 311 boys), aged between 12 and 18 years. CRF was predicted by maximal multistage 20-m shuttle-run test according to the procedures described in FITNESSGRAM. Children's BMI was classified according to the International Obesity Task Force. Adolescents' BW was assessed from each child's pediatric record at birth. Parents' OV/OB status was defined and classified according to the World Health Organization. Socioeconomic status was defined by parental education. The prevalence OV/OB was 21.4 and 5.3%, respectively, and there were no gender differences. The OV/OB adolescents (girls and boys) had significantly (P

Arte Pública: divulgação do património cultural da cidade do Porto

Mestrado em Engenharia Informática. Sistemas Gráficos e Multimédia

Caminha sílaba a sílaba

Eugénio de Andrade (1923-2005) é um dos mais celebrados e traduzidos poetas portugueses contemporâneos, com mais de trinta volumes de poesia, e vários prémios nacionais e internacionais. Como poeta atento e turista curioso, Andrade viajou com frequência para Espanha, França, Itália e Grécia, ao encontro de outros escritores (Vicente Aleixandre, Dámaso Alonso, etc.), e visitou diversas cidades e locais históricos. Recorrentemente, menciona Madrid, Valverde del Fresno, Roma, Delfos, Tebas, Súnion, Veneza, Brindisi, Corfu, etc. Em resultado destas viagens, existem, na sua poesia, poemas em prosa e crónicas, abundantes referências aos países, cultura e paisagem natural do Mediterrâneo. Eugénio de Andrade captura poeticamente o ―genius loci‖, realçando os laços entre os povos, a fauna, a flora e o clima. Desde os primeiros escritos até ao seu último livro, o poeta coerentemente apresenta uma ―visão mediterrânica‖. Recorrendo às suas obras e a excertos de algumas das entrevistas que concedeu, este artigo exemplifica, analisa e avalia estes aspectos, explorando uma faceta menos conhecida da obra eugeniana.

Fractional dynamics of genetic algorithms using hexagonal space tessellation

The paper formulates a genetic algorithm that evolves two types of objects in a plane. The fitness function promotes a relationship between the objects that is optimal when some kind of interface between them occurs. Furthermore, the algorithm adopts an hexagonal tessellation of the two-dimensional space for promoting an efficient method of the neighbour modelling. The genetic algorithm produces special patterns with resemblances to those revealed in percolation phenomena or in the symbiosis found in lichens. Besides the analysis of the spacial layout, a modelling of the time evolution is performed by adopting a distance measure and the modelling in the Fourier domain in the perspective of fractional calculus. The results reveal a consistent, and easy to interpret, set of model parameters for distinct operating conditions.

Particle swarm optimization: dynamical analysis through fractional calculus

This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is studied from the point of view of fractional calculus. In this study some initial swarm particles are randomly changed, for the system stimulation, and its response is compared with a non-perturbed reference response. The perturbation effect in the PSO evolution is observed in the perspective of the fitness time behaviour of the best particle. The dynamics is represented through the median of a sample of experiments, while adopting the Fourier analysis for describing the phenomena. The influence upon the global dynamics is also analyzed. Two main issues are reported: the PSO dynamics when the system is subjected to random perturbations, and its modelling with fractional order transfer functions.

Calculation of fractional derivatives of noisy data with genetic algorithms

This paper addresses the calculation of derivatives of fractional order for non-smooth data. The noise is avoided by adopting an optimization formulation using genetic algorithms (GA). Given the flexibility of the evolutionary schemes, a hierarchical GA composed by a series of two GAs, each one with a distinct fitness function, is established.

A flexibilidade no Hóquei em patins

Introdução: O hóquei em patins é a modalidade desportiva que em Portugal conquistou mais títulos, quer a nível de clubes quer a nível de selecções , por isso, torna-se pertinente verificar qual o efeito da flexibilidade na aptidão física desta mesma modalidade. Objectivos: Verificar a influência do aumento de flexibilidade numa bateria de testes de aptidão física, num atleta de hóquei em patins. Metodologia: Realizou-se um estudo de caso num atleta de hóquei em patins com défices de flexibilidade . O atleta foi sujeito a duas avaliações/reavaliações: flexibilidade global (flexiteste) e bateria de testes para avaliação da aptidão física. Entre a avaliação e reavaliação o atleta realizou um programa de treino Stretching global activo (SGA) para ganhos de flexibilidade, durante 6 semanas. Resultados: Ao fim das 6 semanas, podemos verificar que o atleta melhorou os seus resultados nos vários testes realizados . Conclusão: Com a utilização de um protocolo de treino de flexibilidade ( SGA) obteve -se um aumento da flexibilidade no atleta em estudo, verificando-se que esses ganhos provocaram melhorias nos resultados dos testes de aptidão física efectuados.

Automated synthesis procedure of RF discrete tuning differential capacitance circuits

The paper presents a RFDSCA automated synthesis procedure. This algorithm determines several RFDSCA circuits from the top-level system specifications all with the same maximum performance. The genetic synthesis tool optimizes a fitness function proportional to the RFDSCA quality factor and uses the epsiv-concept and maximin sorting scheme to achieve a set of solutions well distributed along a non-dominated front. To confirm the results of the algorithm, three RFDSCAs were simulated in SpectreRF and one of them was implemented and tested. The design used a 0.25 mum BiCMOS process. All the results (synthesized, simulated and measured) are very close, which indicate that the genetic synthesis method is a very useful tool to design optimum performance RFDSCAs.

A fractional calculus perspective in the evolutionary design of combinational circuits

This paper analyses the performance of a genetic algorithm (GA) in the synthesis of digital circuits using two novel approaches. The first concept consists in improving the static fitness function by including a discontinuity evaluation. The measure of variability in the error of the Boolean table has similarities with the function continuity issue in classical calculus. The second concept extends the static fitness by introducing a fractional-order dynamical evaluation.

Dynamical modelling of a genetic algorithm

This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.