Prevalence of asthma and risk factors associated: population based study in Sao Paulo, Southeastern Brazil, 2008-2009

OBJECTIVE: To assess the prevalence of asthma and risk factors associated in children and adolescents. METHODS: Population-based cross-sectional study with 1,185 female and male children and adolescents carried out in the city of Sao Paulo, Southeastern Brazil, from 2008 to 2009. Data were collected through home interviews. Respondents were selected from two-stage (census tract, household) cluster random sampling stratified by gender and age. Multiple Poisson regression was used in the adjusted analysis between the outcome and socioeconomic, demographic, lifestyle and health condition variables. RESULTS: Of all respondents, 9.1% (95%CI 7.0; 11.7) reported asthma. After adjustment, the following variables were found independently associated with asthma: age (0 to 4 years vs. 15 to 19) (PR 3.18, 95%CI 1.20;8.42); age (5 to 9 years vs. 15 to 19) (PR 6.37, 95%CI 2.64;15.39); age (10 to 14 years vs. 15 to 19) (PR 4.51,95%CI 1.95;10.40); allergy (yes vs. no) (PR 2.22, 95%CI 1.24;4.00); rhinitis (yes vs. no) (PR 2.13, 95%CI 1.22;3.73); health conditions in the 15 days preceding the interview (yes vs. no) (PR 1.96, 95%CI 1.23;3.11); number of rooms in the household (1 to 3 vs. 4 and more) (PR 1.67, 95%CI 1.05;2.66); and skin color (black and mixed vs. white) (PR 2.00, 95%CI 1.14;3.49). CONCLUSIONS: This study showed the importance of factors associated with asthma including rhinitis and allergy; age between 5 to 9 years old; black and mixed skin color; and household with few rooms. Frequent health problems are seen as a common consequence of asthma.

Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design

The design of a network is a solution to several engineering and science problems. Several network design problems are known to be NP-hard, and population-based metaheuristics like evolutionary algorithms (EAs) have been largely investigated for such problems. Such optimization methods simultaneously generate a large number of potential solutions to investigate the search space in breadth and, consequently, to avoid local optima. Obtaining a potential solution usually involves the construction and maintenance of several spanning trees, or more generally, spanning forests. To efficiently explore the search space, special data structures have been developed to provide operations that manipulate a set of spanning trees (population). For a tree with n nodes, the most efficient data structures available in the literature require time O(n) to generate a new spanning tree that modifies an existing one and to store the new solution. We propose a new data structure, called node-depth-degree representation (NDDR), and we demonstrate that using this encoding, generating a new spanning forest requires average time O(root n). Experiments with an EA based on NDDR applied to large-scale instances of the degree-constrained minimum spanning tree problem have shown that the implementation adds small constants and lower order terms to the theoretical bound.

Prevalence of overweight preschool children in public day care centers: a cross-sectional study

CONTEXT AND OBJECTIVE: Brazil is undergoing a period of epidemiological transition associated with demographic and nutritional changes. The prevalence of obesity is also increasing in children and is causing numerous health problems that are becoming public health issues. The aim here was to evaluate the prevalence of overweight among children of two and three years of age. DESIGN AND SETTING: Cross-sectional study in municipal day care centers in Taubate, state of Sao Paulo, Brazil. METHODS: Weight and height measurements were made on 447 preschool children forming a probabilistic randomized sample. Their body mass index (BMI) was calculated. Their nutritional status was classified using the World Health Organization reference cutoff points (2006). Their mean weight, height and BMI were compared according to their age and sex. RESULTS: The mean values for the final sample (n = 447) were as follows: mean age: 38.6 months (+/- 3.5) and Z scores for: weight/height (W/H): 0.50 (+/- 1.22); height/age: -0.03 (+/- 1.07); weight/age (W/A): 0.51 (+/- 1.23); and BMI: 0.51(+/- 1.23). The prevalence of overweight children (BMI > 1 z) was 28.86%, while the prevalence of underweight children (BMI < -2 z) was 0.89%. There were no differences in mean BMI among the two and three-year age groups (P = 0.66). CONCLUSION: A high prevalence of overweight was observed in the sample of two and three-year-old children, with practically no malnutrition, thus showing that a significant nutritional transition may already be occurring, even in medium-sized cities of developing countries.

Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems

Recently, researches have shown that the performance of metaheuristics can be affected by population initialization. Opposition-based Differential Evolution (ODE), Quasi-Oppositional Differential Evolution (QODE), and Uniform-Quasi-Opposition Differential Evolution (UQODE) are three state-of-the-art methods that improve the performance of the Differential Evolution algorithm based on population initialization and different search strategies. In a different approach to achieve similar results, this paper presents a technique to discover promising regions in a continuous search-space of an optimization problem. Using machine-learning techniques, the algorithm named Smart Sampling (SS) finds regions with high possibility of containing a global optimum. Next, a metaheuristic can be initialized inside each region to find that optimum. SS and DE were combined (originating the SSDE algorithm) to evaluate our approach, and experiments were conducted in the same set of benchmark functions used by ODE, QODE and UQODE authors. Results have shown that the total number of function evaluations required by DE to reach the global optimum can be significantly reduced and that the success rate improves if SS is employed first. Such results are also in consonance with results from the literature, stating the importance of an adequate starting population. Moreover, SS presents better efficacy to find initial populations of superior quality when compared to the other three algorithms that employ oppositional learning. Finally and most important, the SS performance in finding promising regions is independent of the employed metaheuristic with which SS is combined, making SS suitable to improve the performance of a large variety of optimization techniques. (C) 2012 Elsevier Inc. All rights reserved.

Simple heuristics for the assembly line worker assignment and balancing problem

We propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled. Different from the well-known simple assembly line balancing problem, the task execution times vary according to the assigned worker. We develop a constructive heuristic framework based on task and worker priority rules defining the order in which the tasks and workers should be assigned to the workstations. We present a number of such rules and compare their performance across three possible uses: as a stand-alone method, as an initial solution generator for meta-heuristics, and as a decoder for a hybrid genetic algorithm. Our results show that the heuristics are fast, they obtain good results as a stand-alone method and are efficient when used as a initial solution generator or as a solution decoder within more elaborate approaches.

LALP: a language to program custom FPGA-based acceleration engines

Field-Programmable Gate Arrays (FPGAs) are becoming increasingly important in embedded and high-performance computing systems. They allow performance levels close to the ones obtained with Application-Specific Integrated Circuits, while still keeping design and implementation flexibility. However, to efficiently program FPGAs, one needs the expertise of hardware developers in order to master hardware description languages (HDLs) such as VHDL or Verilog. Attempts to furnish a high-level compilation flow (e.g., from C programs) still have to address open issues before broader efficient results can be obtained. Bearing in mind an FPGA available resources, it has been developed LALP (Language for Aggressive Loop Pipelining), a novel language to program FPGA-based accelerators, and its compilation framework, including mapping capabilities. The main ideas behind LALP are to provide a higher abstraction level than HDLs, to exploit the intrinsic parallelism of hardware resources, and to allow the programmer to control execution stages whenever the compiler techniques are unable to generate efficient implementations. Those features are particularly useful to implement loop pipelining, a well regarded technique used to accelerate computations in several application domains. This paper describes LALP, and shows how it can be used to achieve high-performance computing solutions.

Densidade energética da dieta e fatores associados: como está a população de São Paulo?

OBJETIVO: Avaliar a densidade energética da dieta de adultos do município de São Paulo e fatores associados. SUJEITOS E MÉTODOS: Participantes do estudo ISA-Capital, com amostragem probabilística (n = 710 adultos). O consumo alimentar foi avaliado pelo R24h. As correlações foram investigadas pelo coeficiente de correlação de Pearson. As associações com dados demográficos, socioeconômicos e de estilo de vida foram investigadas por modelos de regressão multivariados. RESULTADOS: A densidade energética média foi 1,98 kcal/g (IC95% [1,94; 2,01]) e correlacionou-se positivamente com a ingestão de energia, gordura, carboidrato, colesterol, gordura saturada, sacarose, gordura trans e açúcar adicionado e negativamente com fibras. Apenas idade e hábito de fumar apresentaram associação com a densidade energética. CONCLUSÕES: Os valores elevados da densidade energética da dieta e a relação demonstrada com outros constituintes nutricionais denotam má qualidade da dieta nessa população, o que pode estar contribuindo para crescentes taxas de excesso de peso. Arq Bras Endocrinol Metab. 2012;56(9):638-45

Doenças respiratórias e fatores associados: estudo de base populacional em São Paulo, 2008-2009

OBJETIVO: Estimar a prevalência de bronquite aguda, rinite e sinusite em crianças e adolescentes e identificar fatores associados. MÉTODOS: Estudo transversal, de base populacional. Foi realizado inquérito domiciliar com 1.185 crianças e adolescentes de São Paulo, SP, de 2008 a 2009. Os participantes foram selecionados a partir de amostragem probabilística, estratificada por sexo e idade e por conglomerados em dois estágios. Para análise ajustada foi realizada regressão múltipla de Poisson. RESULTADOS: Dos entrevistados, 7,3% referiram bronquite aguda, 22,6% rinite e 15,3% sinusite. Após análise ajustada, associaram-se à bronquite aguda auto-referida: idade de zero a quatro anos (RP = 17,86; IC95%: 3,65;90,91), cinco a nove anos (RP = 37,04; IC95%: 8,13;166,67), dez a 14 anos (RP = 20,83; IC95%: 4,93;90,91), referir ter alergia (RP = 3,12; IC95%: 1,70;5,73), cor da pele preta/parda (RP = 2,29; IC95%: 1,21;4,35) e morar em domicílio com um a três cômodos (RP = 1,85; IC95%: 1,17;2,94); à rinite auto-referida: idade dez a 14 anos (RP = 2,77; IC95%: 1,60;4,78), 15 a 19 anos (RP = 2,58; IC95%: 1,52;4,39), referir ter alergia (RP = 4,32; IC95%: 2,79;6,70), referir ter asma (RP = 2,30; IC95%: 1,30;4,10) e morar em apartamento (RP = 1,70; IC95%: 1,06;2,73); à sinusite auto-referida: idade cinco a nove anos (RP = 2,44; IC95%: 1,09;5,43), dez a 14 anos (RP = 2,99; IC95%: 1,36;6,58), 15 a 19 anos (RP = 3,62; IC95%: 1,68;7,81), referir ter alergia (RP = 2,23; IC95%: 1,41;3,52) e apresentar obesidade (RP = 4,42; IC95%: 1,56;12,50). CONCLUSÕES: As doenças respiratórias foram mais prevalentes em grupos populacionais com características definidas, como grupo etário, doenças auto-referidas, tipo de moradia e obesidade.

Prevalência e vulnerabilidade à infecção pelo HIV de moradores de rua em São Paulo, SP

OBJETIVO: Analisar a prevalência e o perfil de vulnerabilidade ao HIV de moradores de rua. MÉTODOS: Estudo transversal com amostra não probabilística de 1.405 moradores de rua usuários de instituições de acolhimento de São Paulo, SP, de 2006 a 2007. Foi realizado teste anti-HIV e aplicado questionário estruturado. O perfil de vulnerabilidade foi analisado pela frequência do uso do preservativo, considerando mais vulneráveis os que referiram o uso nunca ou às vezes. Foram utilizadas regressões logística e multinomial para estimar as medidas de efeito e intervalos de 95% de confiança. RESULTADOS: Houve predominância do sexo masculino (85,6%), média de 40,9 anos, ter cursado o ensino fundamental (72,0%) e cor não branca (71,5%). A prática homo/bissexual foi referida por 15,7% e a parceria ocasional por 62,0%. O número médio de parcerias em um ano foi de 5,4 e mais da metade (55,7%) referiu uso de drogas na vida, dos quais 25,7% relataram uso frequente. No total, 39,6% mencionaram ter tido uma doença sexualmente transmissível e 38,3% relataram o uso do preservativo em todas as relações sexuais. A prevalência do HIV foi de 4,9% (17,4% dos quais apresentaram também sorologia positiva para sífilis). Pouco mais da metade (55,4%) tinha acesso a ações de prevenção. A maior prevalência do HIV esteve associada a ser mais jovem (OR 18 a 29 anos = 4,0 [IC95% 1,54;10,46]), história de doença sexualmente transmissível (OR = 3,3 [IC95% 1,87;5,73]); prática homossexual (OR = 3,0 [IC95% 1,28;6,92]) e à presença de sífilis (OR = 2,4 [IC95% 1,13;4,93]). O grupo de maior vulnerabilidade foi caracterizado por ser mulher, jovem, ter prática homossexual, número reduzido de parcerias, parceria fixa, uso de drogas e álcool e não ter acesso a ações de prevenção e apoio social. CONCLUSÕES: O impacto da epidemia entre moradores de rua é elevado, refletindo um ciclo que conjuga exclusão, vulnerabilidade social e acesso limitado à prevenção.

Prevalência de asma e fatores associados: estudo de base populacional em São Paulo, SP, 2008-2009

OBJETIVO: Estimar a prevalência de asma em crianças e adolescentes e identificar fatores associados. MÉTODOS: Estudo transversal de base populacional com 1.185 crianças e adolescentes de ambos os sexos de São Paulo, SP, de 2008 a 2009. As informações foram coletadas por meio de entrevistas domiciliares e os participantes foram selecionados a partir de amostragem probabilística, estratificada por sexo e idade, e por conglomerados em dois estágios (setores censitários e domicílios). Foi realizada regressão múltipla de Poisson na análise ajustada entre o desfecho e variáveis sociodemográficas, econômicas, estilo de vida e condições de saúde. RESULTADOS: Dos entrevistados, 9,1% (IC95% 7,0;11,7) referiram asma. Após análise ajustada, identificaram-se os seguintes fatores independentemente associados ao agravo: idade (zero a quatro anos/15 a 19) RP = 3,18 (IC95% 1,20;8,42), idade (cinco a nove anos/15 a 19) RP = 6,37 (IC95% 2,64;15,39), idade (10 a 14 anos/15 a 19) RP = 4,51 (IC95% 1,95;10,40), alergia (sim/não) RP = 2,22 (IC95% 1,24;4,00), rinite (sim/não) RP = 2,13 (IC95% 1,22;3,73), problemas de saúde nos 15 dias prévios à entrevista (sim/não) RP = 1,96 (IC95% 1,23;3,11), número de cômodos no domicílio (1 a 3/4 e mais) RP = 1,67 (IC95% 1,05;2,66), e cor da pele (preta e parda/branca) RP = 2,00 (IC95% 1,14;3,49). CONCLUSÕES: Os achados do presente estudo apontam a importância da asma associada à presença de rinite e alergia, idade entre cinco e nove anos, cor da pele preta e parda e moradia com menor número de cômodos. Os frequentes problemas de saúde podem ser considerados consequência dessa doença.

Algoritmos evolutivos e modelo HP para predição de estruturas de proteínas

Predição de estruturas de proteínas (PSP) é um problema computacionalmente complexo. Modelos simplificados da molécula proteica (como o Modelo HP) e o uso de Algoritmos Evolutivos (AEs) estão entre as principais técnicas investigadas para PSP. Entretanto, a avaliação de uma estrutura representada pelo Modelo HP considera apenas o número de contatos hidrofóbicos, não possibilitando distinguir entre estruturas com o mesmo número de contatos hidrofóbicos. Neste trabalho, é apresentada uma nova formulação multiobjetivo para PSP em Modelo HP. Duas métricas são avaliadas: o número de contatos hidrofóbicos e a distância entre os aminoácidos hidrofóbicos, as quais são tratados pelo AE Multiobjetivo em Tabelas (AEMT). O algoritmo mostrou-se rápido e robusto.

Uma abordagem evolutiva para o problema de custo médio a longo prazo com saltos não-observados

Neste artigo propomos uma adaptação de um algoritmo baseado na evolução biológica para a obtenção do controle ótimo do problema do custo médio a longo prazo para sistemas lineares com saltos markovianos. Não há na literatura um método que forneça, comprovadamente, o controle ótimo do problema, nem estudos comparativos de diferentes métodos. O algoritmo empregado diferencia-se dos algoritmos genéticos básicos por substituir os operadores evolutivos por um sorteio de acordo com uma distribuição probabilística. Comparamos o algoritmo proposto com um método bastante utilizado para esta classe de problema, levando em consideração a relação entre os custos obtidos, o tempo de CPU e a quantidade de problemas em que o critério de parada estabelecido foi atingido.

Dental caries associated factors in 12 year-old schoolchildren from a municipality in the state of São Paulo, Brazil

Objective To analyze the possible association between dental caries, fluorosis and the need for treatment in 12 year-old schoolchildren and the socioeconomic conditions of parents/guardians in the city of Franca, in the state of São Paulo. Methods A random sample of schoolchildren aged 12 was obtained from the school records in Franca, using a systematic random technique. The epidemiological survey was carried out by a single calibrated examiner, on 258 public and private schoolchildren in order to obtain the prevalence of dental caries, the need for treatment and the severity of dental fluorosis. Parents/guardians were also interviewed to assess their socioeconomic conditions (education and per capita income). We used multiple correlation analysis to investigate associations between category variables. Results It was possible to identify two distinct groups, with associations between the variables: the first group, represented by schoolchildren with average prevalence of caries, need for treatment, low level of parental education and income; and a second group represented by schoolchildren with low prevalence of caries, no need for treatment, high parental education and income. The two dimensions explained approximately 35% of total inertia. The factors within each group are related. Conclusion High income and parental education are associated with the low prevalence of dental caries but there is no association with dental fluorosis.

Programmable logic design of a compact Genetic Algorithm for phasor estimation in real-time

The main objective of this work is to present an efficient method for phasor estimation based on a compact Genetic Algorithm (cGA) implemented in Field Programmable Gate Array (FPGA). To validate the proposed method, an Electrical Power System (EPS) simulated by the Alternative Transients Program (ATP) provides data to be used by the cGA. This data is as close as possible to the actual data provided by the EPS. Real life situations such as islanding, sudden load increase and permanent faults were considered. The implementation aims to take advantage of the inherent parallelism in Genetic Algorithms in a compact and optimized way, making them an attractive option for practical applications in real-time estimations concerning Phasor Measurement Units (PMUs).