Índices bioclimáticos e a relação com a mortalidade de idosos por doenças cardiovasculares em Sorocaba – SP entre 2002 e 2014

• Ano de defesa: 2019
• Autor(a) principal: Rodrigues, Paulo Lopes
• Orientador(a): Silva, Edelci Nunes da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus Sorocaba
• Programa de Pós-Graduação: Programa de Pós-Graduação em Geografia - PPGGeo-So
• Palavras-chave em Português: Climatologia, Bioclimatologia, Idosos, Doenças Cardiovasculares, Sorocaba
• Área do conhecimento CNPq: CIENCIAS HUMANAS::GEOGRAFIA
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/12311

The present work has as main objective to understand the influence of the atmospheric environment on the mortality of the elderly due to cardiovascular diseases in Sorocaba, between 2002 and 2014. In order to draw this relationship, it was decided to use two bioclimatic techniques: the types of time and the PET comfort index. These two techniques were chosen in an attempt to understand the complexity of the atmospheric environment and its impacts on health. Using these techniques, we selected days with excess deaths, called sick days, which were indicated from values ​​above the median, presented here as days with 3 or more deaths. The association between bioclimatic indices and sick days was delineated from the use of descriptive statistics (calculation of frequency, mean and extreme values) as well as the use of inferential statistics, the use of logistic regression models. Using frequency calculation, it was observed that the types of weather with strong thermal amplitude and extreme temperature values, either maximum or minimum and low humidity, concentrated the sick days. Regarding the PET comfort index ranges, there was a higher concentration of these days with excess death in ranges that indicated the discomfort to the cold. However, the results obtained from the use of logistic regression models, using the odds calculation (odss), showed that the extreme weather, very hot with large thermal amplitude, presented lower protective capacity for days with excess deaths. For the thermal comfort index, it was observed that the comfort index ranges that indicated heat discomfort were more protective than those indicating comfort and cold discomfort.