Tendências Temporais de Atividade Física e Comportamento Sedentário em Porto Alegre, Brasil: 2006-2012.

Abstract

The overall prevalence of physical inactivity in adults is 31%, ranging from 17% in Asia to 43% in the Americas. Among the consequences of a sedentary lifestyle and physical inactivity are an increased risk of cardiovascular and metabolic complications, an increased risk of various NCDs, mental disorders and premature death. Physical inactivity is responsible for 5.3 million deaths per year worldwide. In this context, health surveillance and monitoring systems are of great importance for the control of the main determinants of chronic non-communicable diseases, allowing the understanding of the population's health characteristics, thus contributing to the formulation of public policies that promote the improvement of health. quality of life of the population (VIGITEL, 2012). Thus, the objective of this study will be to analyze temporal trends in physical activity and sedentary behavior and its relationship with sociodemographic indicators, in adults from the city of Porto Alegre, RS, Brazil, from 2006 to 2012. This is a cross-sectional study population-based study, based on secondary data, from the Surveillance System for Risk and Protection Factors for Chronic Diseases by Telephone Survey (VIGITEL) carried out between 2006 and 2012, in the city of Porto Alegre, Rio Grande do Sul Data from 13,721 adults (18 years or older) participating in VIGITEL will be analyzed. Time trends for each physical activity indicator will be analyzed and stratified by sex (male; female), age (18-24; 25-34; 35-44; 45-54; 55-64; 65 + years) and years of schooling (0-4, 5-8, 9-11, 12 or more). The statistical significance of changes between years will be calculated by Poisson regression, with the indicator of physical activity as the outcome of interest and year of research as the exposure. The variation delta will be calculated from the IRR, obtained through Poisson regression. The following formulas will be used to calculate the variation delta: when the IRR is greater than zero the formula is (IRR-1) * 100 and if Q is less than zero the formula is (1-IRR) * 100. The result obtained will express the average annual change in percentage. The analyzes will be performed using Stata version 12.0.