Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults

Detalhes bibliográficos
Autor(a) principal: Trindade , Lucas Akio Iza
Data de Publicação: 2020
Outros Autores: Sarti , Flavia Mori
Tipo de documento: preprint
Idioma: eng
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1600
Resumo: Objective: To analyze sociodemographic and lifestyle factors associated with screen-based sedentary behavior (watching television ≥3 hours/day) among adult individuals in Brazil. Methods: Quantitative analysis of ten editions of the cross-sectional health survey VIGITEL, representative at population level. Individuals from states’ capitals living in households with land-line telephone were randomly selected and interviewed using structured questionnaire by telephone. A multivariate logistic regression model was estimated for identification of factors associated with screen-based sedentary behavior. Results: There was stability in trends referring to prevalence of sedentary behavior from 2008 to 2017. Prevalence of sedentary behavior was higher between individuals with unhealthier lifestyles: consumption of <2 in natura food items (vegetables, fruits and beans) per day (26.73% [95%CI 25.2%;28.31%]) in comparison to ≥2 items per day (23.79% [95%CI 21.92%;25.77%]); consumption of soft drinks ≥5 days per week (31.24% [95%CI 29.58%;32.95%]) than <5 days per week (23.82% [95%CI 22.2%;25.52%]); and practice of <150 minutes of physical activity per week (28.2% [95%CI 26.17%;30.33%]) than ≥150 minutes per week (22.54% [21.27%;23.86%]). Regular consumption of in natura food items (OR=0.984), practice of physical activity (OR=0.798) and living in richer municipality (OR=0.826) represented protective factors in relation to screen-based sedentary behavior, whilst regular consumption of soft drinks (OR=1.440), smoking (OR=1.375) and alcohol abuse (OR=1.334) represented risk factors. Conclusion: The adoption of screen-based sedentary behavior among adult individuals in Brazil presented significant association with modifiable behavioral factors in the period 2008-2017.
id SCI-1_a71694f7b1aa3ca610c7b1b1dc23cf5e
oai_identifier_str oai:ops.preprints.scielo.org:preprint/1600
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adultsTendências em fatores sociodemográficos e de estilo de vida associados ao comportamento sedentário em adultos brasileirosComportamento sedentárioTempo de telaEstilo de vidaEstudos transversaisFatores de riscoFatores de proteçãoSedentary behaviorScreen timeLifestyleCross-sectional studiesRisk factorsProtective factorsObjective: To analyze sociodemographic and lifestyle factors associated with screen-based sedentary behavior (watching television ≥3 hours/day) among adult individuals in Brazil. Methods: Quantitative analysis of ten editions of the cross-sectional health survey VIGITEL, representative at population level. Individuals from states’ capitals living in households with land-line telephone were randomly selected and interviewed using structured questionnaire by telephone. A multivariate logistic regression model was estimated for identification of factors associated with screen-based sedentary behavior. Results: There was stability in trends referring to prevalence of sedentary behavior from 2008 to 2017. Prevalence of sedentary behavior was higher between individuals with unhealthier lifestyles: consumption of <2 in natura food items (vegetables, fruits and beans) per day (26.73% [95%CI 25.2%;28.31%]) in comparison to ≥2 items per day (23.79% [95%CI 21.92%;25.77%]); consumption of soft drinks ≥5 days per week (31.24% [95%CI 29.58%;32.95%]) than <5 days per week (23.82% [95%CI 22.2%;25.52%]); and practice of <150 minutes of physical activity per week (28.2% [95%CI 26.17%;30.33%]) than ≥150 minutes per week (22.54% [21.27%;23.86%]). Regular consumption of in natura food items (OR=0.984), practice of physical activity (OR=0.798) and living in richer municipality (OR=0.826) represented protective factors in relation to screen-based sedentary behavior, whilst regular consumption of soft drinks (OR=1.440), smoking (OR=1.375) and alcohol abuse (OR=1.334) represented risk factors. Conclusion: The adoption of screen-based sedentary behavior among adult individuals in Brazil presented significant association with modifiable behavioral factors in the period 2008-2017.Objetivo: Analisar fatores sociodemográficos e de estilo de vida associados ao comportamento sedentário baseado em tempo de tela (assistir televisão ≥3 horas/dia) entre brasileiros adultos. Métodos: Análise quantitativa de dez edições do inquérito de saúde de delineamento transversal VIGITEL, representativo em nível populacional. Indivíduos de capitais estaduais residentes em domicílios com telefone fixo foram selecionados aleatoriamente e entrevistados via questionário estruturado por telefone. Estimou-se modelo de regressão logística multivariada para identificação de fatores associados ao comportamento sedentário. Resultados: Observou-se tendência estável na prevalência de comportamento sedentário entre 2008 e 2017. Verificou-se maior prevalência de comportamento sedentário entre indivíduos com padrões de comportamento menos saudáveis: consumo de <2 itens alimentares in natura (vegetais, frutas e feijões) por dia (26,73% [95%CI 25,2%;28,31%]) em comparação ao consumo de ≥2 itens por dia (23,79% [95%CI 21,92%;25,77%]); consumo de refrigerantes em ≥5 dias por semana (31,24% [95%CI 29,58%;32,95%]) em comparação a <5 dias por semana (23,82% [95%CI 22,2%;25,52%]); e prática de atividade física <150 minutos por semana (28,2% [95%CI 26,17%;30,33%]) em comparação a ≥150 minutos por semana (22,54% [21,27%;23,86%]). Consumir alimentos in natura (OR=0.984); praticar atividade física (OR=0.798) e residir em município de maior renda (OR=0.826) representaram fatores de proteção ao comportamento sedentário baseado em tempo de tela, enquanto consumo de refrigerantes (OR=1.440), fumo (OR=1.375) e abuso de álcool (OR=1.334) representaram fatores de risco. Conclusão: A adoção do comportamento sedentário baseado em tela entre indivíduos adultos no Brasil apresentou associação significativa com fatores comportamentais modificáveis no período 2008-2017.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-12-14info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/160010.1590/1980-549720210014.supl.1enghttps://preprints.scielo.org/index.php/scielo/article/view/1600/2535Copyright (c) 2020 Lucas Akio Iza Trindade , Flavia Mori Sarti https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTrindade , Lucas Akio Iza Sarti , Flavia Mori reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-12-14T16:58:26Zoai:ops.preprints.scielo.org:preprint/1600Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-12-14T16:58:26SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
Tendências em fatores sociodemográficos e de estilo de vida associados ao comportamento sedentário em adultos brasileiros
title Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
spellingShingle Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
Trindade , Lucas Akio Iza
Comportamento sedentário
Tempo de tela
Estilo de vida
Estudos transversais
Fatores de risco
Fatores de proteção
Sedentary behavior
Screen time
Lifestyle
Cross-sectional studies
Risk factors
Protective factors
title_short Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
title_full Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
title_fullStr Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
title_full_unstemmed Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
title_sort Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults
author Trindade , Lucas Akio Iza
author_facet Trindade , Lucas Akio Iza
Sarti , Flavia Mori
author_role author
author2 Sarti , Flavia Mori
author2_role author
dc.contributor.author.fl_str_mv Trindade , Lucas Akio Iza
Sarti , Flavia Mori
dc.subject.por.fl_str_mv Comportamento sedentário
Tempo de tela
Estilo de vida
Estudos transversais
Fatores de risco
Fatores de proteção
Sedentary behavior
Screen time
Lifestyle
Cross-sectional studies
Risk factors
Protective factors
topic Comportamento sedentário
Tempo de tela
Estilo de vida
Estudos transversais
Fatores de risco
Fatores de proteção
Sedentary behavior
Screen time
Lifestyle
Cross-sectional studies
Risk factors
Protective factors
description Objective: To analyze sociodemographic and lifestyle factors associated with screen-based sedentary behavior (watching television ≥3 hours/day) among adult individuals in Brazil. Methods: Quantitative analysis of ten editions of the cross-sectional health survey VIGITEL, representative at population level. Individuals from states’ capitals living in households with land-line telephone were randomly selected and interviewed using structured questionnaire by telephone. A multivariate logistic regression model was estimated for identification of factors associated with screen-based sedentary behavior. Results: There was stability in trends referring to prevalence of sedentary behavior from 2008 to 2017. Prevalence of sedentary behavior was higher between individuals with unhealthier lifestyles: consumption of <2 in natura food items (vegetables, fruits and beans) per day (26.73% [95%CI 25.2%;28.31%]) in comparison to ≥2 items per day (23.79% [95%CI 21.92%;25.77%]); consumption of soft drinks ≥5 days per week (31.24% [95%CI 29.58%;32.95%]) than <5 days per week (23.82% [95%CI 22.2%;25.52%]); and practice of <150 minutes of physical activity per week (28.2% [95%CI 26.17%;30.33%]) than ≥150 minutes per week (22.54% [21.27%;23.86%]). Regular consumption of in natura food items (OR=0.984), practice of physical activity (OR=0.798) and living in richer municipality (OR=0.826) represented protective factors in relation to screen-based sedentary behavior, whilst regular consumption of soft drinks (OR=1.440), smoking (OR=1.375) and alcohol abuse (OR=1.334) represented risk factors. Conclusion: The adoption of screen-based sedentary behavior among adult individuals in Brazil presented significant association with modifiable behavioral factors in the period 2008-2017.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1600
10.1590/1980-549720210014.supl.1
url https://preprints.scielo.org/index.php/scielo/preprint/view/1600
identifier_str_mv 10.1590/1980-549720210014.supl.1
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1600/2535
dc.rights.driver.fl_str_mv Copyright (c) 2020 Lucas Akio Iza Trindade , Flavia Mori Sarti
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Lucas Akio Iza Trindade , Flavia Mori Sarti
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 SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047821373800448