CORRELATES OF SEDENTARY BEHAVIORS IN CHILE: EVIDENCE FROM THE NATIONAL HEALTH SURVEY 2009-2010

Factores asociados a sedentarismo en Chile: evidencia de la encuesta nacional de salud 2009-2010

Author
Martínez, María Adela; Universidad Austral de Chile, Valdivia

Leiva, Ana María; Universidad Austral de Chile, Valdivia

Petermann, Fanny; Investigador BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, United Kingdom.

Garrido, Alex; Universidad San Sebastián, Concepción, Chile.

Díaz, Ximena; Universidad del Biobío, Chillán.

Alvarez, Cristian; Universidad de Los Lagos, Osorno, Chile.

Salas, Carlos; Universidad de Concepción. Concepción, Chile.

Cristi, Carlos; Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

Rodríguez, Fernando; Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

Aguilar, Nicolás; Universidad de Temuco, Temuco.

Ramírez, Rodrigo; Universidad de Los Lagos, Osorno.

Celis, Carlos

Full text
http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/view/5717
Abstract
Background: Sedentary behaviors are one of the major risk factors for cardiovascular diseases. Aim: To identify factors associated with high sedentary behaviors in the Chilean population. Material and methods: We included 5,040 participants from the Chilean National Health Survey 2009-2010. Physical activity level and sedentary behavior (sitting time) were measured using the Global Physical Activity Questionnaire (GPAQ v2). Highly sedentary behaviors were determined as >4 hours per day of sitting time. Logistic regression was used to identify correlates of highly sedentary behavior. Results: Forty seven percent of the study population reported spending more than 4 hours per day sitting. The prevalence was higher in women. The main factors associated with high sedentary behavior were: high income levels (Odds ratio (OR):1.91 [95% Confidence intervals (CI:1.61-2.27]); being women (OR:1.39 [95% CI:1.24-1.56]): having central obesity (OR:1.15 [95% CI:1.02-1.30]), being physically inactive (OR:2.35 [95% CI:2.06-2.68]), and living in an urban area (OR:1.92 [95% CI:1.63-2.26]). Other factors associates with high sedentary behavior were: being smoker, having a television set, computer and private car in their homes. Participants reporting a poor self-reported health and wellbeing and those with diabetes or metabolic syndrome were more likely to be highly sedentary. Conclusions: The main factors associated with high levels of sedentary behavior are socio-demographic issues, lifestyles and health status.
 
Background: Sedentary behaviors are one of the major risk factors for cardiovascular diseases. Aim: To identify factors associated with high sedentary behaviors in the Chilean population. Material and methods: We included 5,040 participants from the Chilean National Health Survey 2009-2010. Physical activity level and sedentary behavior (sitting time) were measured using the Global Physical Activity Questionnaire (GPAQ v2). Highly sedentary behaviors were determined as >4 hours per day of sitting time. Logistic regression was used to identify correlates of highly sedentary behavior. Results: Forty seven percent of the study population reported spending more than 4 hours per day sitting. The prevalence was higher in women. The main factors associated with high sedentary behavior were: high income levels (Odds ratio (OR):1.91 [95% Confidence intervals (CI:1.61-2.27]); being women (OR:1.39 [95% CI:1.24-1.56]): having central obesity (OR:1.15 [95% CI:1.02-1.30]), being physically inactive (OR:2.35 [95% CI:2.06-2.68]), and living in an urban area (OR:1.92 [95% CI:1.63-2.26]). Other factors associates with high sedentary behavior were: being smoker, having a television set, computer and private car in their homes. Participants reporting a poor self-reported health and wellbeing and those with diabetes or metabolic syndrome were more likely to be highly sedentary. Conclusions: The main factors associated with high levels of sedentary behavior are socio-demographic issues, lifestyles and health status.
 
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