Gender-specific demographic factors and lifestyle habits related to physical inactivity
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
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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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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1799126070298935296 |