Aging demographic profile in municipalities in the state of Pará, Brazil

ABSTRACT Objective: To investigate socioeconomic and demographic differences regarding population aging in municipalities of the state of Pará, Brazil. Method: Ecological study with secondary demographic, socioeconomic and health data from the 144 municipalities of the state of Pará, Brazil. Data were treated with segmentation analysis, the Mann-Whitney U test and logistic regression models, with a significance level of p ≤ 0.05. Results: Segmentation analysis provided a single variable to describe aging in the municipalities of Pará and originated two clusters, the high and low aging rate ones, with 104 (72.22%) and 40 (27.78%) municipalities in each, respectively. The fitted model revealed an association between aging and per capita income (p = 0.021), vulnerability to poverty (p = 0.003), rich to poor ratio (p = 0.012) and density of people (p = 0.019). Conclusion: There is heterogeneity in the population aging among the municipalities of Pará, mainly regarding socioeconomic conditions and number of people living in the municipalities.

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Main Authors: Campos,Ana Cristina Viana, Gonçalves,Lucia Hisako Takase
Format: Digital revista
Language:English
Published: Associação Brasileira de Enfermagem 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000700591
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spelling oai:scielo:S0034-716720180007005912018-03-16Aging demographic profile in municipalities in the state of Pará, BrazilCampos,Ana Cristina VianaGonçalves,Lucia Hisako Takase Demographic Aging Aged Social Inequity Social Vulnerability Health Policy ABSTRACT Objective: To investigate socioeconomic and demographic differences regarding population aging in municipalities of the state of Pará, Brazil. Method: Ecological study with secondary demographic, socioeconomic and health data from the 144 municipalities of the state of Pará, Brazil. Data were treated with segmentation analysis, the Mann-Whitney U test and logistic regression models, with a significance level of p ≤ 0.05. Results: Segmentation analysis provided a single variable to describe aging in the municipalities of Pará and originated two clusters, the high and low aging rate ones, with 104 (72.22%) and 40 (27.78%) municipalities in each, respectively. The fitted model revealed an association between aging and per capita income (p = 0.021), vulnerability to poverty (p = 0.003), rich to poor ratio (p = 0.012) and density of people (p = 0.019). Conclusion: There is heterogeneity in the population aging among the municipalities of Pará, mainly regarding socioeconomic conditions and number of people living in the municipalities.info:eu-repo/semantics/openAccessAssociação Brasileira de EnfermagemRevista Brasileira de Enfermagem v.71 suppl.1 20182018-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000700591en10.1590/0034-7167-2017-0070
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Campos,Ana Cristina Viana
Gonçalves,Lucia Hisako Takase
spellingShingle Campos,Ana Cristina Viana
Gonçalves,Lucia Hisako Takase
Aging demographic profile in municipalities in the state of Pará, Brazil
author_facet Campos,Ana Cristina Viana
Gonçalves,Lucia Hisako Takase
author_sort Campos,Ana Cristina Viana
title Aging demographic profile in municipalities in the state of Pará, Brazil
title_short Aging demographic profile in municipalities in the state of Pará, Brazil
title_full Aging demographic profile in municipalities in the state of Pará, Brazil
title_fullStr Aging demographic profile in municipalities in the state of Pará, Brazil
title_full_unstemmed Aging demographic profile in municipalities in the state of Pará, Brazil
title_sort aging demographic profile in municipalities in the state of pará, brazil
description ABSTRACT Objective: To investigate socioeconomic and demographic differences regarding population aging in municipalities of the state of Pará, Brazil. Method: Ecological study with secondary demographic, socioeconomic and health data from the 144 municipalities of the state of Pará, Brazil. Data were treated with segmentation analysis, the Mann-Whitney U test and logistic regression models, with a significance level of p ≤ 0.05. Results: Segmentation analysis provided a single variable to describe aging in the municipalities of Pará and originated two clusters, the high and low aging rate ones, with 104 (72.22%) and 40 (27.78%) municipalities in each, respectively. The fitted model revealed an association between aging and per capita income (p = 0.021), vulnerability to poverty (p = 0.003), rich to poor ratio (p = 0.012) and density of people (p = 0.019). Conclusion: There is heterogeneity in the population aging among the municipalities of Pará, mainly regarding socioeconomic conditions and number of people living in the municipalities.
publisher Associação Brasileira de Enfermagem
publishDate 2018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000700591
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