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Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil.
Lucianelli Junior, Dalberto; Pereira, Adenilson Leão; Santos, Ozélia Sousa; Paes, Maria do Carmo Faria; Ikuta, Yuji Magalhães; Silveira, Rodrigo; Valentin, Fernanda Nogueira.
Afiliação
  • Lucianelli Junior D; Postgraduate Program in Health of Amazon, Nucleus of Tropical Medicine, Federal University of Pará, Belém 66075-110, Brazil.
  • Pereira AL; Faculty of Medicine, Airport Campus, University of Uberaba "Uniube", Uberaba 38055-500, Brazil.
  • Santos OS; Faculty of Medicine, Federal University of Pará, Altamira 68372-040, Brazil.
  • Paes MDCF; Postgraduate Program in Biodiversity and Conservation, Federal University of Pará, Belém 66075-110, Brazil.
  • Ikuta YM; Faculty of Medicine, Federal University of Pará, Altamira 68372-040, Brazil.
  • Silveira R; Institute for Environmental Research, Rheinisch-Westfälische Technische Hochschule Aachen University, 52074 Aachen, Germany.
  • Valentin FN; Postgraduate Program in Health of Amazon, Nucleus of Tropical Medicine, Federal University of Pará, Belém 66075-110, Brazil.
Int J Environ Res Public Health ; 20(8)2023 04 17.
Article em En | MEDLINE | ID: mdl-37107824
This study aimed to evaluate the sociodemographic, behavioral, and biological profile and its relationship with the emergence of chronic non-communicable diseases in riverside populations in the Xingu region, Pará, Brazil. Characteristics related to health indicators and which risk factors are considered most important were analyzed. This is a cross-sectional, exploratory, and descriptive study. The sample consisted of riverside people of over 18 years of both sexes. The sample size (n = 86) was calculated with a confidence level of 95% and a sample error of 5%. The K-means clustering algorithm was adopted through an unsupervised method to divide the groups, and the values were expressed as a median. For continuous and categorical data, the Mann-Whitney and chi-square tests were used, respectively, and the significance level was set at p < 5%. The multi-layer perceptron algorithm was applied to classify the degree of importance of each variable. Based on this information, the sample was divided into two groups: the group with low or no education, with bad habits and worse health conditions, and the group with opposite characteristics. The risk factors considered for cardiovascular diseases and diabetes in the groups were low education (p < 0.001), sedentary lifestyle (p < 0.01), smoking, alcoholism, body mass index (p < 0.05), and waist-hip ratio, with values above the expected being observed in both groups. The factors considered important so as to be considered to have good health condition or not were the educational and social conditions of these communities, and one part of the riverside population was considered healthier than the other.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Sedentário Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Sedentário Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça