Atividade física, indicadores antropométricos e alterações metabólicas em escolares de Paranavaí, Paraná
Ano de defesa: | 2014 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Estadual de Maringá
Brasil Programa de Pós-Graduação Associado em Educação Física - UEM/UEL UEM Maringá, PR Centro de Ciências da Saúde |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.uem.br:8080/jspui/handle/1/2181 |
Resumo: | This dissertation adopted the alternative model (scandinavo) in the formulation of three objectives: a) To verify the existence of association between physical inactivity and anthropometric measurements; b) To identify the prevalence of hypertriglyceridemic waist phenotype and its association with metabolic abnormalities; c) To compare the proportion of children with metabolic syndrome diagnosed by different criteria. A cross-sectional design with search conducted in July and August 2013 A sample of the school population consists of grades 6 to 9 aged 10 to 14 years of public schools (4 schools) and private (2 schools) from Paranavai, Paraná, Brazil. The evaluations were conducted in two stages: 1) Anthropometric Assessment, Physical Activity Level, 2) Evaluation Biochemistry. Only those students who accepted to participate and who provide the Statement of Consent signed by the heads (n = 578) were evaluated. Of these, 566 who participated in the anthropometric and physical activity level; 12 being excluded because they are not the criteria required in research or non-realization of all evaluations. For biochemical evaluation were selected all students who participated in the first collection (n = 566). Of this total, 241 students underwent biochemical tests, with 136 boys and 105 girls. The others (n = 325) were excluded for not accepting to participate in the collection. The study variables were sociodemographic variables (sex and age), level of physical activity, anthropometry (height, weight, body mass index and waist circumference), blood pressure, biochemical analysis (total cholesterol, HDL-C, non-HDL cholesterol , LDL-C, triglycerides and fasting glucose), hypertriglyceridemic waist (HTW) and metabolic syndrome (MS). This study was approved by the ethics committee on human research at the State University of Maringá. There were significant associations of physical activity in students who were overweight (OR = 1.8, 95% CI: 1.1-3.0) and increased waist circumference (OR = 2.2, 95% CI: 1, 4 to 3.8) representing 80% and 120% more opportunity to be inactive respectively. The prevalence of HTW was 20.7% among school children, 14.1% in males and 6.6% among females with higher proportions aged 10-12 years old. Multivariate analysis indicated that LDL-C was the only variable positively associated with the metabolic phenotype (p = 0.001), in this case school classified with high serum levels were 320% more likely (OR = 4.2, 95% CI : 1.6 to 10.9) having the phenotype CHT compared to students in appropriate levels. Comparing the criteria for SM verification criteria in pairs showed that the agreement between IDF and Cook was 97.5% between IDF and Ferranti 83.4%, and 85.9% Ferranti and Cook. In only one student (0.4%) the metabolic syndrome was diagnosed exclusively by the IDF criteria and 34 students (14.1%) by the criteria of Ferranti. The comparison between the three criteria showed that Ferranti had high proportion of SM than survivors (p = <0.001), and the Cook greater proportion to the IDF (p = <0.001). Inadequate levels of physical activity seems to be a determining factor in overweight and abdominal adiposity. The existence of a high prevalence of phenotype HTW in school as well as its association with LDL-C shows the importance of this measure in providing information on the anthropometric and metabolic changes that trigger health complications. Regarding the diagnostic criteria for metabolic syndrome, the differences in the proportions found in this study show the need for standardizing the criteria and points of specific age range for cutting, so that an accurate comparison between the research conducted is possible. |