dc.creatorFerrari, Gerson
dc.creatorWerneck, André O.
dc.creatorSilva, Danilo R.
dc.creatorKovalskys, Irina
dc.creatorGómez, Georgina
dc.creatorRigotti, Attilio
dc.creatorCortés, Lilia Y.
dc.creatorGarcía, Martha Cecilia Yépez
dc.creatorLiria-Domínguez, Maria R.
dc.creatorHerrera-Cuenca, Marianella
dc.creatorPratt, Michael
dc.creatorMarques, Adilson
dc.creatorVan Dyck, Delfien
dc.creatorLeme, Ana Carolina B.
dc.creatorFisberg, Mauro
dc.date.accessioned2022-01-03T12:53:37Z
dc.date.accessioned2024-05-07T02:36:18Z
dc.date.available2022-01-03T12:53:37Z
dc.date.available2024-05-07T02:36:18Z
dc.date.created2022-01-03T12:53:37Z
dc.date.issued2021-01-01
dc.identifier07493797
dc.identifier10.1016/j.amepre.2021.09.006
dc.identifierhttp://hdl.handle.net/10757/658437
dc.identifier18732607
dc.identifierAmerican Journal of Preventive Medicine
dc.identifier2-s2.0-85119449349
dc.identifierSCOPUS_ID:85119449349
dc.identifierS0749379721005365
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9327392
dc.description.abstractIntroduction: Attributes of the neighborhood-built environment are associated with self-reported physical activity, but only a few studies have concentrated on device-measured physical activity in Latin America. This study examines the associations of perceived neighborhood-built environment attributes, device-measured sedentary time, and light-intensity and moderate-to-vigorous physical activity in adults from 8 Latin American countries. Methods: Data from Estudio Latinoamericano de Nutrición y Salud adult study, an observational multicountry study (N=2,478), were analyzed in 2020. Data were collected between 2014 and 2015. Perceived neighborhood-built environment attributes were measured using the Neighbourhood Environment Walkability Survey. Sedentary time, light-intensity physical activity, and moderate-to-vigorous physical activity data were collected using accelerometers. Results: No associations between perceived neighborhood-built environment attributes and sedentary time were found. Positive perceptions of walking/cycling facilities (β=6.50, 95% CI=2.12, 10.39) were associated with more light-intensity physical activity. Perceptions of better aesthetics (Argentina) and better walking/cycling facilities (Brazil and Ecuador) were positively associated with light-intensity physical activity. Land use mix–diversity (β=0.14, 95% CI=0.03, 0.25), walking/cycling facilities (β=0.16, 95% CI=0.05, 0.27), aesthetics (β=0.16, 95% CI=0.02, 0.30), and safety from traffic (β=0.18, 95% CI=0.05, 0.24) were positively associated with moderate-to-vigorous physical activity. Land use mix–diversity, street connectivity, and safety from traffic were positively associated with moderate-to-vigorous physical activity in Venezuela. Conclusions: These findings have implications for policy recommendations, which can guide policies to promote physical activity in the region. Land use mix–diversity, walking/cycling facilities, aesthetics, and safety from traffic can maintain or increase the levels of light-intensity and moderate-to-vigorous physical activity among Latin American adults.
dc.languageeng
dc.publisherElsevier Inc.
dc.relationhttps://www.ajpmonline.org/article/S0749-3797(21)00536-5/fulltext
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Academico - UPC
dc.sourceAmerican Journal of Preventive Medicine
dc.subjectPhysical Activity
dc.subjectUrban Environment
dc.subjectLatin America
dc.subjectNeighborhood
dc.titlePerceived Urban Environment Attributes and Device-Measured Physical Activity in Latin America: An 8-Nation Study
dc.typeinfo:eu-repo/semantics/article


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