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Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil

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 consi...

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Autores principales: Lucianelli Junior, Dalberto, Pereira, Adenilson Leão, Santos, Ozélia Sousa, Paes, Maria do Carmo Faria, Ikuta, Yuji Magalhães, Silveira, Rodrigo, Valentin, Fernanda Nogueira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138798/
https://www.ncbi.nlm.nih.gov/pubmed/37107824
http://dx.doi.org/10.3390/ijerph20085542
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author Lucianelli Junior, Dalberto
Pereira, Adenilson Leão
Santos, Ozélia Sousa
Paes, Maria do Carmo Faria
Ikuta, Yuji Magalhães
Silveira, Rodrigo
Valentin, Fernanda Nogueira
author_facet Lucianelli Junior, Dalberto
Pereira, Adenilson Leão
Santos, Ozélia Sousa
Paes, Maria do Carmo Faria
Ikuta, Yuji Magalhães
Silveira, Rodrigo
Valentin, Fernanda Nogueira
author_sort Lucianelli Junior, Dalberto
collection PubMed
description 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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spelling pubmed-101387982023-04-28 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 Int J Environ Res Public Health Article 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. MDPI 2023-04-17 /pmc/articles/PMC10138798/ /pubmed/37107824 http://dx.doi.org/10.3390/ijerph20085542 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lucianelli Junior, Dalberto
Pereira, Adenilson Leão
Santos, Ozélia Sousa
Paes, Maria do Carmo Faria
Ikuta, Yuji Magalhães
Silveira, Rodrigo
Valentin, Fernanda Nogueira
Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title_full Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title_fullStr Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title_full_unstemmed Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title_short Sociobehavioral, Biological, and Health Characteristics of Riverside People in the Xingu Region, Pará, Brazil
title_sort sociobehavioral, biological, and health characteristics of riverside people in the xingu region, pará, brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138798/
https://www.ncbi.nlm.nih.gov/pubmed/37107824
http://dx.doi.org/10.3390/ijerph20085542
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