Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study

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August 11, 2020
Congratulations to the 2020 SBRN Award Winners!
August 1, 2020
Photo by Vlada Karpovich from Pexels
Coping during COVID-19 – keep screen time in check!
August 11, 2020

A paper titled “Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study” was just published in the International Journal of Environmental Research and Public Health. Citations details, a summary of the paper and author information are below.  The full-text article is available here (open access).

Ferrari, G. L. de M., Oliveira Werneck, A., Rodrigues da Silva, D., Kovalskys, I., Gómez, G., Rigotti, A., Yadira Cortés Sanabria, L., García, M. C. Y., Pareja, R. G., Herrera-Cuenca, M., Zalcman Zimberg, I., Guajardo, V., Pratt, M., Cofre Bolados, C., Fuentes Kloss, R., Rollo, S., & Fisberg, M. (2020). Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study. International Journal of Environmental Research and Public Health, 17(15), 5587. https://doi.org/10.3390/ijerph17155587

Abstract

Purpose: The aim of this study was to identify socio-demographic correlates of total and domain-specific sedentary behavior (SB).

Methods: Cross-sectional findings are based on 9218 participants (15–65 years) from the Latin American Study of Nutrition and Health. Data were collected between September 2014 and February 2015. Participants reported time spent in SB across specific domains. Sex, age, ethnicity, socioeconomic (SEL), and education level were used as sociodemographic indicators.

Results: Participants spent a total of 373.3 min/day engaged in total SB. Men, younger adults, other ethnicities, higher SEL and educational level presented higher total SB when compared with women, older adults, white/Caucasian, and low SEL and educational level. Men spent more time on the playing videogames (b: 32.8: 95% CI: 14.6;51.1) and riding in an automobile (40.5: 31.3; 49.8). Computer time, reading, socializing or listening to music was higher in younger participants (<30 years) compared with those ≥50 years in the total sample. Compared to the low SEL and educational level groups, middle (11.7: 5.7; 17.6) and higher (15.1: 5.3; 24.9) SEL groups as well as middle (9.8: 3.6; 15.9) and higher (16.6: 6.5; 26.8) education level groups reported more time spent reading.

Conclusion: Socio-demographic characteristics are associated with SB patterns (total and specific) across Latin American countries.

Authors and affiliations

Gerson Luis de Moraes Ferrari 1,,André Oliveira Werneck 2,Danilo Rodrigues da Silva 3,Irina Kovalskys 4,Georgina Gómez 5,Attilio Rigotti 6,Lilia Yadira Cortés Sanabria 7,Martha Cecilia Yépez García 8,Rossina G. Pareja 9,Marianella Herrera-Cuenca 10,Ioná Zalcman Zimberg 11,Viviana Guajardo 4,Michael Pratt 12,Cristian Cofre Bolados 1,Rodrigo Fuentes Kloss 1,Scott Rollo 13,14 andMauro Fisberg 15,16,† on behalf of the ELANS Study Group
 1 Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile
 2 Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo 01246-904, Brazil
 3 Department of Physical Education, Federal University of Sergipe–UFS, São Cristóvão 49100-000, Brazil
 4 Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina
 5 Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José 11501-2060, Costa Rica
 6 Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago 833-0024, Chile
 7 Departamento de Nutrición y Bioquímica, Pontificia Universidad Javeriana, Bogotá 110231, Colombia
 8 Colégio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito 17-1200-841, Ecuador
 9 Instituto de Investigación Nutricional, La Molina, Lima 15026, Peru
10 Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas 1053, Venezuela
11 Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil
12 Institute for Public Health, University of California San Diego, La Jolla, CA 92093-0021, USA
13 Healthy Active Living and Obesity (HALO) Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
14 Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
15 Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo 01227-200, Brazil
16 Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo 04023-061, Brazil
Membership of the ELANS Study Group is provided in the Acknowledgments section of the manuscript.

 

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