Universidad Peruana Cayetano Heredia

Physical Activity and Sitting Time Patterns and Sociodemographic Correlates Among 155,790 South American Adults.

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dc.contributor.author Werneck, André O.
dc.contributor.author Araujo, Raphael H. O.
dc.contributor.author Anza Ramírez, Cecilia Isabel
dc.contributor.author Brazo-Sayavera, Javier
dc.contributor.author García-Witulski, Christian
dc.contributor.author Aguilar-Farias, Nicolas
dc.contributor.author Baldew, Se-Sergio
dc.contributor.author Sadarangani, Kabir P.
dc.contributor.author Ramírez-Vélez, Robinson
dc.contributor.author García-Hermoso, Antonio
dc.contributor.author Ferrari, Gerson
dc.contributor.author Cañete, Felicia
dc.contributor.author Nieto-Martinez, Ramfis
dc.contributor.author Silva, Danilo R.
dc.coverage.spatial Argentina
dc.coverage.spatial Bolivia
dc.coverage.spatial Brasil
dc.coverage.spatial Chile
dc.coverage.spatial Colombia
dc.coverage.spatial Ecuador
dc.coverage.spatial Guyana
dc.coverage.spatial Paraguay
dc.coverage.spatial Perú
dc.coverage.spatial Surinam
dc.coverage.spatial Uruguay
dc.coverage.spatial Venezuela
dc.date.accessioned 2023-06-12T16:25:54Z
dc.date.available 2023-06-12T16:25:54Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/13608
dc.description.abstract BACKGROUND: To estimate the prevalence of different physical activity (PA) domains and sitting time (ST), and to analyze the association with sociodemographic indicators. METHODS: Data from the most recent nationally representative survey from each of the South American countries, comprising 155,790 adults (18-64 y), were used. Data on leisure-time, transport, and occupational PA (all 3 domains as nonzero), total PA (≥150 min/wk), and ST (≥8 h/d) were assessed by specific questionnaires in each survey. Gender, age group (18-34, 35-49, and 50-64 y), and education (quintiles) were used as sociodemographic factors. Random effect meta-analysis of the association between sociodemographic factors and PA and ST were conducted. RESULTS: The prevalence of PA guidelines compliance and elevated ST in South America was 70.3% and 14.1%, respectively. Women were less likely to achieve the recommended levels of total and domain-based PA. Participants in the highest quintile of education were more likely for elevated ST (2.80, 2.08-3.77), lower occupational PA (0.65, 0.44-0.95), but higher leisure-time PA (3.13, 2.31-4.27), in comparison with lowest quintile. Older adults were less likely to participate in total and leisure-time PA. CONCLUSION: Our findings highlight the urge to tackle the inequalities in PA practice in South America, especially gender and education inequalities, for leisure-time PA. en_US
dc.language.iso eng
dc.publisher Human Kinetics
dc.relation.ispartofseries Journal of Physical Activity & Health
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Exercise en_US
dc.subject Inequalities en_US
dc.subject Sedentary Behavior en_US
dc.subject Social determinant of health en_US
dc.subject.mesh Ejercicio Físico
dc.subject.mesh Inequidades en Salud
dc.subject.mesh Conducta Sedentaria
dc.subject.mesh Determinantes Sociales de la Salud
dc.title Physical Activity and Sitting Time Patterns and Sociodemographic Correlates Among 155,790 South American Adults. en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1123/jpah.2022-0305
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.11
dc.relation.issn 1543-5474


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