Gender-specific demographic factors and lifestyle habits related to physical inactivity

Detalhes bibliográficos
Autor(a) principal: de SÁ-SILVA, Suzana Patrícia
Data de Publicação: 2023
Outros Autores: Massae YOKOO, Edna, SALLES-COSTA, Rosana
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Nutrição
Texto Completo: https://periodicos.puc-campinas.edu.br/nutricao/article/view/8528
Resumo: ObjectiveTo identify gender-specific sociodemographic and lifestyle variables associated with leisure-time physical inactivity in a low-income population. MethodsThis cross-sectional, population-based study conducted in Duque de Caxias, Rio de Janeiro (2005), collected the following data from 1113 adults in home interviews: leisure-time physical activity, sociodemographic information, lifestyle habits (smoking, soda intake), and anthropometric measurements. The hierarchical Poisson regression modeling was used for data analysis setting leisure-time physical inactivity (individuals who did not practice any type of leisure-time physical activity) as outcome. The first level of the model included the sociodemographic variables and the second, lifestyle habits, food intake, and nutritional status according to body mass index (kg/m2 ) as follows: underweight <18.5; 18.5≤ normal weight <25.0; 25.0≤ overweight <30.0; and obese ≥ 30.0. ResultsThe prevalence of leisure-time physical inactivity was 33.0% (CI95%: 28.6-37.6) for men and 67.0% (CI95%: 62.3-71.3) for women. In the final model, leisure-time physical inactivity in males was associated with overweight (overweight: PR=1.50, obesity: PR=1.50, p=0.004) and skin color (black/brown: PR=0.71, p=0.003); and in females, with education level (PR=1.15, p=0.019), waist circumference (PR=0.87, p=0.042), smoking (PR=1.17, p=0.003), and higher soda intake (PR=1.22, p=0.015). ConclusionThe factors associated with leisure-time physical inactivity vary between genders. The women had unhealthy lifestyles: they smoked, consumed soda, and were more inactive. 
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spelling Gender-specific demographic factors and lifestyle habits related to physical inactivityFatores demográficos e hábitos de vida relacionados com a inatividade física de lazer entre gênerosMotor activityLife styleGender identityAtividade motoraEstilo de vidaIdentidade de gêneroObjectiveTo identify gender-specific sociodemographic and lifestyle variables associated with leisure-time physical inactivity in a low-income population. MethodsThis cross-sectional, population-based study conducted in Duque de Caxias, Rio de Janeiro (2005), collected the following data from 1113 adults in home interviews: leisure-time physical activity, sociodemographic information, lifestyle habits (smoking, soda intake), and anthropometric measurements. The hierarchical Poisson regression modeling was used for data analysis setting leisure-time physical inactivity (individuals who did not practice any type of leisure-time physical activity) as outcome. The first level of the model included the sociodemographic variables and the second, lifestyle habits, food intake, and nutritional status according to body mass index (kg/m2 ) as follows: underweight <18.5; 18.5≤ normal weight <25.0; 25.0≤ overweight <30.0; and obese ≥ 30.0. ResultsThe prevalence of leisure-time physical inactivity was 33.0% (CI95%: 28.6-37.6) for men and 67.0% (CI95%: 62.3-71.3) for women. In the final model, leisure-time physical inactivity in males was associated with overweight (overweight: PR=1.50, obesity: PR=1.50, p=0.004) and skin color (black/brown: PR=0.71, p=0.003); and in females, with education level (PR=1.15, p=0.019), waist circumference (PR=0.87, p=0.042), smoking (PR=1.17, p=0.003), and higher soda intake (PR=1.22, p=0.015). ConclusionThe factors associated with leisure-time physical inactivity vary between genders. The women had unhealthy lifestyles: they smoked, consumed soda, and were more inactive. ObjetivoAnalisar a associação entre variáveis sociodemográficas e hábitos de vida com Inatividade Física de Lazer, entre os sexos, em população de baixa renda. MétodosEstudo transversal de base populacional, em Duque de Caxias, Rio de Janeiro (2005). A coleta de dados constou de visita domiciliar e amostra de 1.113 adultos. Foram avaliados alguns dados sobre Atividade Física de Lazer, informações sociodemográficas, hábitos de vida (hábito de fumar, consumo de refrigerantes) e medidas antropométricas. Na análise de dados foi empregado o modelo hierárquico, utilizando a regressão de Poisson e a Inatividade Física de Lazer (indivíduos que responderam não praticar nenhum tipo de Atividade Física de Lazer) como desfecho. O primeiro nível do modelo considerou variáveis sociodemográficas e o segundo, o estado nutricional (índice de massa corporal em kg/m2 (baixo peso <18,5; eutrófico ≥18,5 e <25,0; sobrepeso ≥25,0 e <30,0; e obeso ≥30,0), hábitos de vida e consumo alimentar. ResultadosA prevalência de Inatividade Física de Lazer foi de 33,0% (IC95%: 28,6-37,6) para os homens, e 67,0% (IC95%: 62,3-71,3) para as mulheres. No modelo final, entre os homens, a Inatividade Física de Lazer foi associada com excesso de peso (sobrepeso: RP=1,50, obesidade: RP=1,50, p-valor=0,004) e cor de pele (pretos/pardos: RP=0,71, p-valor=0,003). Entre mulheres, a Inatividade Física de Lazer foi associada com escolaridade (RP=1,15, p-valor=0,019), perímetro de cintura (RP=0,87, p-valor=0,042), hábito de fumar (RP=1,17, p-valor=0,003) e maior ingestão de refrigerantes (RP=1,22, p-valor=0,015). ConclusãoOs fatores associados com a Inatividade Física de Lazer diferiram entre os gêneros. As mulheres possuíam estilos de vida não saudáveis, ou seja, fumavam, consumiam mais refrigerantes, e eram mais inativas fisicamente. Núcleo de Editoração – PUC-Campinas2023-05-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.puc-campinas.edu.br/nutricao/article/view/8528Brazilian Journal of Nutrition; Vol. 26 No. 6 (2013): Revista de NutriçãoRevista de Nutrição; Vol. 26 Núm. 6 (2013): Revista de NutriçãoRevista de Nutrição; v. 26 n. 6 (2013): Revista de Nutrição1678-9865reponame:Revista de Nutriçãoinstname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)instacron:PUC_CAMPporhttps://periodicos.puc-campinas.edu.br/nutricao/article/view/8528/5998Copyright (c) 2023 Suzana Patrícia de SÁ-SILVA, Edna Massae YOKOO, Rosana SALLES-COSTAhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessde SÁ-SILVA, Suzana Patrícia Massae YOKOO, Edna SALLES-COSTA, Rosana2023-10-05T19:19:57Zoai:ojs.periodicos.puc-campinas.edu.br:article/8528Revistahttp://www.scielo.br/rnPRIhttps://periodicos.puc-campinas.edu.br/nutricao/oai||sbi.submissionrn@puc-campinas.edu.br1678-98651415-5273opendoar:2023-10-05T19:19:57Revista de Nutrição - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)false
dc.title.none.fl_str_mv Gender-specific demographic factors and lifestyle habits related to physical inactivity
Fatores demográficos e hábitos de vida relacionados com a inatividade física de lazer entre gêneros
title Gender-specific demographic factors and lifestyle habits related to physical inactivity
spellingShingle Gender-specific demographic factors and lifestyle habits related to physical inactivity
de SÁ-SILVA, Suzana Patrícia
Motor activity
Life style
Gender identity
Atividade motora
Estilo de vida
Identidade de gênero
title_short Gender-specific demographic factors and lifestyle habits related to physical inactivity
title_full Gender-specific demographic factors and lifestyle habits related to physical inactivity
title_fullStr Gender-specific demographic factors and lifestyle habits related to physical inactivity
title_full_unstemmed Gender-specific demographic factors and lifestyle habits related to physical inactivity
title_sort Gender-specific demographic factors and lifestyle habits related to physical inactivity
author de SÁ-SILVA, Suzana Patrícia
author_facet de SÁ-SILVA, Suzana Patrícia
Massae YOKOO, Edna
SALLES-COSTA, Rosana
author_role author
author2 Massae YOKOO, Edna
SALLES-COSTA, Rosana
author2_role author
author
dc.contributor.author.fl_str_mv de SÁ-SILVA, Suzana Patrícia
Massae YOKOO, Edna
SALLES-COSTA, Rosana
dc.subject.por.fl_str_mv Motor activity
Life style
Gender identity
Atividade motora
Estilo de vida
Identidade de gênero
topic Motor activity
Life style
Gender identity
Atividade motora
Estilo de vida
Identidade de gênero
description ObjectiveTo identify gender-specific sociodemographic and lifestyle variables associated with leisure-time physical inactivity in a low-income population. MethodsThis cross-sectional, population-based study conducted in Duque de Caxias, Rio de Janeiro (2005), collected the following data from 1113 adults in home interviews: leisure-time physical activity, sociodemographic information, lifestyle habits (smoking, soda intake), and anthropometric measurements. The hierarchical Poisson regression modeling was used for data analysis setting leisure-time physical inactivity (individuals who did not practice any type of leisure-time physical activity) as outcome. The first level of the model included the sociodemographic variables and the second, lifestyle habits, food intake, and nutritional status according to body mass index (kg/m2 ) as follows: underweight <18.5; 18.5≤ normal weight <25.0; 25.0≤ overweight <30.0; and obese ≥ 30.0. ResultsThe prevalence of leisure-time physical inactivity was 33.0% (CI95%: 28.6-37.6) for men and 67.0% (CI95%: 62.3-71.3) for women. In the final model, leisure-time physical inactivity in males was associated with overweight (overweight: PR=1.50, obesity: PR=1.50, p=0.004) and skin color (black/brown: PR=0.71, p=0.003); and in females, with education level (PR=1.15, p=0.019), waist circumference (PR=0.87, p=0.042), smoking (PR=1.17, p=0.003), and higher soda intake (PR=1.22, p=0.015). ConclusionThe factors associated with leisure-time physical inactivity vary between genders. The women had unhealthy lifestyles: they smoked, consumed soda, and were more inactive. 
publishDate 2023
dc.date.none.fl_str_mv 2023-05-05
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://periodicos.puc-campinas.edu.br/nutricao/article/view/8528
url https://periodicos.puc-campinas.edu.br/nutricao/article/view/8528
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.puc-campinas.edu.br/nutricao/article/view/8528/5998
dc.rights.driver.fl_str_mv Copyright (c) 2023 Suzana Patrícia de SÁ-SILVA, Edna Massae YOKOO, Rosana SALLES-COSTA
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Suzana Patrícia de SÁ-SILVA, Edna Massae YOKOO, Rosana SALLES-COSTA
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Núcleo de Editoração – PUC-Campinas
publisher.none.fl_str_mv Núcleo de Editoração – PUC-Campinas
dc.source.none.fl_str_mv Brazilian Journal of Nutrition; Vol. 26 No. 6 (2013): Revista de Nutrição
Revista de Nutrição; Vol. 26 Núm. 6 (2013): Revista de Nutrição
Revista de Nutrição; v. 26 n. 6 (2013): Revista de Nutrição
1678-9865
reponame:Revista de Nutrição
instname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
instacron:PUC_CAMP
instname_str Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
instacron_str PUC_CAMP
institution PUC_CAMP
reponame_str Revista de Nutrição
collection Revista de Nutrição
repository.name.fl_str_mv Revista de Nutrição - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
repository.mail.fl_str_mv ||sbi.submissionrn@puc-campinas.edu.br
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