Cargando…

Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil

Metabolic syndrome has been considered a factor of vulnerability and a major public health problem because it increases the risk of cardiovascular disease and type 2 diabetes. The present study from Amazonas, Brazil aimed to estimate the prevalence of the individual and general components of metabol...

Descripción completa

Detalles Bibliográficos
Autores principales: Gouveia, Élvio Rúbio, Gouveia, Bruna R., Marques, Adilson, Peralta, Miguel, França, Cíntia, Lima, Alex, Campos, Alderlane, Jurema, Jefferson, Kliegel, Matthias, Ihle, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908119/
https://www.ncbi.nlm.nih.gov/pubmed/33535582
http://dx.doi.org/10.3390/ijerph18031303
_version_ 1783655638876815360
author Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
Peralta, Miguel
França, Cíntia
Lima, Alex
Campos, Alderlane
Jurema, Jefferson
Kliegel, Matthias
Ihle, Andreas
author_facet Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
Peralta, Miguel
França, Cíntia
Lima, Alex
Campos, Alderlane
Jurema, Jefferson
Kliegel, Matthias
Ihle, Andreas
author_sort Gouveia, Élvio Rúbio
collection PubMed
description Metabolic syndrome has been considered a factor of vulnerability and a major public health problem because it increases the risk of cardiovascular disease and type 2 diabetes. The present study from Amazonas, Brazil aimed to estimate the prevalence of the individual and general components of metabolic syndrome in adults and older adults and identify the independent predictors of metabolic syndrome. The sample of the present cross-sectional study comprised 942 participants (590 women), with a mean age of 59.8 ± 19.7 (range: 17.5 to 91.8). Blood pressure in men (62.5%), abdominal obesity in women (67.3%), and lower high-density lipoprotein cholesterol (HDL-C) in both (52.2% in men and 65.0% in women) were the most prevalent individual risk factors for metabolic syndrome. Women had a higher prevalence of abdominal obesity (p < 0.001), low HDL-C (p < 0.001), and metabolic syndrome (p < 0.001) than men; however, opposite results were seen in men for blood pressure (p < 0.001). The overall prevalence of metabolic syndrome was 47.5%. Advanced age, being female, having a higher body mass index, and a having lower educational level independently increased the odds of metabolic syndrome. Due to the association of metabolic syndrome with deterioration of health status and increased vulnerability, this study sustains the need for early public health interventions in the Amazonas region.
format Online
Article
Text
id pubmed-7908119
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79081192021-02-27 Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil Gouveia, Élvio Rúbio Gouveia, Bruna R. Marques, Adilson Peralta, Miguel França, Cíntia Lima, Alex Campos, Alderlane Jurema, Jefferson Kliegel, Matthias Ihle, Andreas Int J Environ Res Public Health Article Metabolic syndrome has been considered a factor of vulnerability and a major public health problem because it increases the risk of cardiovascular disease and type 2 diabetes. The present study from Amazonas, Brazil aimed to estimate the prevalence of the individual and general components of metabolic syndrome in adults and older adults and identify the independent predictors of metabolic syndrome. The sample of the present cross-sectional study comprised 942 participants (590 women), with a mean age of 59.8 ± 19.7 (range: 17.5 to 91.8). Blood pressure in men (62.5%), abdominal obesity in women (67.3%), and lower high-density lipoprotein cholesterol (HDL-C) in both (52.2% in men and 65.0% in women) were the most prevalent individual risk factors for metabolic syndrome. Women had a higher prevalence of abdominal obesity (p < 0.001), low HDL-C (p < 0.001), and metabolic syndrome (p < 0.001) than men; however, opposite results were seen in men for blood pressure (p < 0.001). The overall prevalence of metabolic syndrome was 47.5%. Advanced age, being female, having a higher body mass index, and a having lower educational level independently increased the odds of metabolic syndrome. Due to the association of metabolic syndrome with deterioration of health status and increased vulnerability, this study sustains the need for early public health interventions in the Amazonas region. MDPI 2021-02-01 2021-02 /pmc/articles/PMC7908119/ /pubmed/33535582 http://dx.doi.org/10.3390/ijerph18031303 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
Peralta, Miguel
França, Cíntia
Lima, Alex
Campos, Alderlane
Jurema, Jefferson
Kliegel, Matthias
Ihle, Andreas
Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title_full Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title_fullStr Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title_full_unstemmed Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title_short Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil
title_sort predictors of metabolic syndrome in adults and older adults from amazonas, brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908119/
https://www.ncbi.nlm.nih.gov/pubmed/33535582
http://dx.doi.org/10.3390/ijerph18031303
work_keys_str_mv AT gouveiaelviorubio predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT gouveiabrunar predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT marquesadilson predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT peraltamiguel predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT francacintia predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT limaalex predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT camposalderlane predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT juremajefferson predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT kliegelmatthias predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil
AT ihleandreas predictorsofmetabolicsyndromeinadultsandolderadultsfromamazonasbrazil