Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis

Detalhes bibliográficos
Autor(a) principal: Couto, Analie Nunes
Data de Publicação: 2022
Outros Autores: Schwanke, Carla Helena Augustin, Pohl, Hildegard Hedwig
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Revista de Epidemiologia e Controle de Infecção
Texto Completo: https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685
Resumo: Background and Objectives: The search for simple and rapid screening indicators for metabolic syndrome (MS) is important due to its high frequency in the adult population. And this aspect is little explored in the rural Brazilian population. The objective of this study was to verify the relationship of SM components with lipid indices and anthropometric parameters in rural workers. Methods: Cross-sectional study with rural workers aged 18 years or older. The SM was determined by harmonized criteria. The fasting glucose (GLI), systolic (SBP) and diastolic (DBP) blood pressure, HDL-c and waist circumference (WC); anthropometric parameters: body mass index (BMI), waist/height ratio (WHtR) and body fat percentage (%F); and lipid indices: glycemic triglyceride index (TyG), lipid accumulation product (LAP) and visceral adiposity index (VAI). Exploratory factor analysis was performed that included, in model I, the anthropometric parameters and, in model II, the lipid indices. Results:  the 167 workers, 21.0% were elderly (≥60 years), 39.5% were male and 61.1% had MS, with a higher prevalence in females. Model II responded to the higest explained variance (78.43%) including metabolic (VAI, LAP, TyG and TG and -HDL-c), cardiometabolic (SBP, DBP and CC) and glycemic factors. Model I explained 70.4% of the variance, which included excess weight, blood pressure and lipid/glycemic factors. Conclusion: the model that included the lipid indices explained the greatest variance observed and the VAI presented the most significant load of this factor.
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spelling Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysisRelación de los componentes del síndrome metabólico con índices lipídicos y parámetros antropométricos en trabajadores rurales: análisis factorial exploratórioRelação dos componentes da síndrome metabólica com os índices lipídicos e parâmetros antropométricos em trabalhadores rurais: análise fatorial exploratóriaSíndrome metabólicaAntropometriaÍndiceSaúde da População RuralTrabalhadores ruraisBackground and Objectives: The search for simple and rapid screening indicators for metabolic syndrome (MS) is important due to its high frequency in the adult population. And this aspect is little explored in the rural Brazilian population. The objective of this study was to verify the relationship of SM components with lipid indices and anthropometric parameters in rural workers. Methods: Cross-sectional study with rural workers aged 18 years or older. The SM was determined by harmonized criteria. The fasting glucose (GLI), systolic (SBP) and diastolic (DBP) blood pressure, HDL-c and waist circumference (WC); anthropometric parameters: body mass index (BMI), waist/height ratio (WHtR) and body fat percentage (%F); and lipid indices: glycemic triglyceride index (TyG), lipid accumulation product (LAP) and visceral adiposity index (VAI). Exploratory factor analysis was performed that included, in model I, the anthropometric parameters and, in model II, the lipid indices. Results:  the 167 workers, 21.0% were elderly (≥60 years), 39.5% were male and 61.1% had MS, with a higher prevalence in females. Model II responded to the higest explained variance (78.43%) including metabolic (VAI, LAP, TyG and TG and -HDL-c), cardiometabolic (SBP, DBP and CC) and glycemic factors. Model I explained 70.4% of the variance, which included excess weight, blood pressure and lipid/glycemic factors. Conclusion: the model that included the lipid indices explained the greatest variance observed and the VAI presented the most significant load of this factor.Antecedentes y objetivos: La búsqueda de indicadores de detección simples y rápidos para el síndrome metabólico (SM) es importante debido a su alta frecuencia en la población adulta. Y este aspecto es poco explorado en la población rural brasileña. El objetivo de este estudio fue verificar la relación de los componentes del SM com índices lipídicos e parámetros antropométricos en trabajadores rurales. Métodos: estudio transversal con trabajadores rurales de 18 años o más. El SM fue determinado por criterio armonizado. Se investigaron los seguientes componentes de la SM: triglicéridos (TG), glucosa en ayunas (GLI), presión arterial sistólica (PAS) y diastólica (PAD), HDL-c y circunferencia de cintura (CC); parámetros antropométricos: índice de masa corporal (IMC), relación cintura /talla (WHtR) y porcentaje de grasa corporal (% F); y índices de lípidos: índice glucémico de triglicéridos (TyG), el producto de acumulación de lípidos (LAP) y el índice de adiposidad visceral (VAI). Se realizo um análisis factorial exploratorio que incluyó, em modelo I, los parâmetros antropométricos y, en el modelo II, los índices lipídicos. Resultados: De los 167 trabajadores, 21,0% eran ancianos (≥60 años), 39,5% hombres y 61,1% tenían SM, con mayor frecuencia en mujeres. El modelo II respondió a la mayor varianza explicada (78,43%) incluyendo factores metabólico (VAI, LAP, TyG y TG y -HDL-c), cardiometabólico (SBP, DBP y CC) y glucémico. El modelo I explicó el 70,4% de la varianza, que incluía exceso de peso, presión arterial y factores lipídicos / glucémicos. Conclusión: el modelo que incluyó los índices lipídicos explicó la mayor varianza observada y el VAI presentó la carga más significativa de este factor.Justificativa e Objetivos: A busca por indicadores simples e rápidos de rastreio de síndrome metabólica (SM) é importante, devido à sua alta frequência na população adulta. Contudo, esse aspecto é pouco explorado na população rural brasileira. O objetivo deste estudo foi verificar a relação dos componentes da SM com índices lipídicos e parâmetros antropométricos em trabalhadores rurais. Métodos: Estudo transversal com trabalhadores rurais com 18 anos ou mais. A SM foi determinada pelo critério harmonizado. Foram investigados os seguintes componentes da SM: triglicerídeos (TG), glicose em jejum (GLI), pressão arterial sistólica (PAS) e diastólica (PAD), HDL-c e circunferência da cintura (CC). Foram analisados os parâmetros antropométricos - índice de massa corporal (IMC), relação cintura/estatura (RCE) e percentual de gordura corporal (%G) -, bem como os índices lipídicos - índice triglicerídeos glicemia (TyG), produto de acumulação de lipídios (LAP) e índice de adiposidade visceral (VAI). Foi realizada análise fatorial exploratória que incluiu, no modelo I, os parâmetros antropométricos e, no modelo II, os índices lipídicos. Resultados: Dos 167 indivíduos investigados, 21,0% eram idosos (≥60 anos), 39,5% do sexo masculino e 61,1% apresentaram SM, com maior frequência no sexo feminino. O modelo II respondeu a maior variância explicada (78,43%), incluindo os fatores metabólico (VAI, LAP, TyG, TG e o -HDL-c), cardiometabólico (PAS, PAD e CC) e glicêmico. O modelo I explicou 70,4% da variância, incluindo os fatores excesso de peso, pressão arterial e lipídico/glicêmico. Conclusão: o modelo que incluiu os índices lipídicos explicou a maior variância observada e o VAI apresentou a carga mais significativa desse fator.Unisc2022-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/epidemiologia/article/view/1668510.17058/reci.v11i4.16685Revista de Epidemiologia e Controle de Infecção; Vol. 11 No. 4 (2021)Revista de Epidemiologia e Controle de Infecção; v. 11 n. 4 (2021)2238-3360reponame:Revista de Epidemiologia e Controle de Infecçãoinstname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCengporhttps://online.unisc.br/seer/index.php/epidemiologia/article/view/16685/10387https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685/10388Copyright (c) 2022 Analie Nunes Couto, Carla Helena Augustin Schwanke, Hildegard Hedwig Pohlhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCouto, Analie NunesSchwanke, Carla Helena AugustinPohl, Hildegard Hedwig2023-05-23T13:20:00Zoai:ojs.online.unisc.br:article/16685Revistahttps://online.unisc.br/seer/index.php/epidemiologia/indexONGhttp://online.unisc.br/seer/index.php/epidemiologia/oai||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com2238-33602238-3360opendoar:2023-05-23T13:20Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
Relación de los componentes del síndrome metabólico con índices lipídicos y parámetros antropométricos en trabajadores rurales: análisis factorial exploratório
Relação dos componentes da síndrome metabólica com os índices lipídicos e parâmetros antropométricos em trabalhadores rurais: análise fatorial exploratória
title Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
spellingShingle Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
Couto, Analie Nunes
Síndrome metabólica
Antropometria
Índice
Saúde da População Rural
Trabalhadores rurais
title_short Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
title_full Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
title_fullStr Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
title_full_unstemmed Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
title_sort Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
author Couto, Analie Nunes
author_facet Couto, Analie Nunes
Schwanke, Carla Helena Augustin
Pohl, Hildegard Hedwig
author_role author
author2 Schwanke, Carla Helena Augustin
Pohl, Hildegard Hedwig
author2_role author
author
dc.contributor.author.fl_str_mv Couto, Analie Nunes
Schwanke, Carla Helena Augustin
Pohl, Hildegard Hedwig
dc.subject.por.fl_str_mv Síndrome metabólica
Antropometria
Índice
Saúde da População Rural
Trabalhadores rurais
topic Síndrome metabólica
Antropometria
Índice
Saúde da População Rural
Trabalhadores rurais
description Background and Objectives: The search for simple and rapid screening indicators for metabolic syndrome (MS) is important due to its high frequency in the adult population. And this aspect is little explored in the rural Brazilian population. The objective of this study was to verify the relationship of SM components with lipid indices and anthropometric parameters in rural workers. Methods: Cross-sectional study with rural workers aged 18 years or older. The SM was determined by harmonized criteria. The fasting glucose (GLI), systolic (SBP) and diastolic (DBP) blood pressure, HDL-c and waist circumference (WC); anthropometric parameters: body mass index (BMI), waist/height ratio (WHtR) and body fat percentage (%F); and lipid indices: glycemic triglyceride index (TyG), lipid accumulation product (LAP) and visceral adiposity index (VAI). Exploratory factor analysis was performed that included, in model I, the anthropometric parameters and, in model II, the lipid indices. Results:  the 167 workers, 21.0% were elderly (≥60 years), 39.5% were male and 61.1% had MS, with a higher prevalence in females. Model II responded to the higest explained variance (78.43%) including metabolic (VAI, LAP, TyG and TG and -HDL-c), cardiometabolic (SBP, DBP and CC) and glycemic factors. Model I explained 70.4% of the variance, which included excess weight, blood pressure and lipid/glycemic factors. Conclusion: the model that included the lipid indices explained the greatest variance observed and the VAI presented the most significant load of this factor.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685
10.17058/reci.v11i4.16685
url https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685
identifier_str_mv 10.17058/reci.v11i4.16685
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685/10387
https://online.unisc.br/seer/index.php/epidemiologia/article/view/16685/10388
dc.rights.driver.fl_str_mv Copyright (c) 2022 Analie Nunes Couto, Carla Helena Augustin Schwanke, Hildegard Hedwig Pohl
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Analie Nunes Couto, Carla Helena Augustin Schwanke, Hildegard Hedwig Pohl
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Unisc
publisher.none.fl_str_mv Unisc
dc.source.none.fl_str_mv Revista de Epidemiologia e Controle de Infecção; Vol. 11 No. 4 (2021)
Revista de Epidemiologia e Controle de Infecção; v. 11 n. 4 (2021)
2238-3360
reponame:Revista de Epidemiologia e Controle de Infecção
instname:Universidade de Santa Cruz do Sul (UNISC)
instacron:UNISC
instname_str Universidade de Santa Cruz do Sul (UNISC)
instacron_str UNISC
institution UNISC
reponame_str Revista de Epidemiologia e Controle de Infecção
collection Revista de Epidemiologia e Controle de Infecção
repository.name.fl_str_mv Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv ||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com
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