OBJECTIVE: To examine time trends in physical activity (PA) in Brazilian state capitals from 2006 to 2009. METHODS: This analysis is based on data from the Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL) accounting for an annual sample of approximately 54,000 individuals. PA indicators were analyzed in free time (leisure), work, home and transportation, time spent in front of the television and inactivity considering all PA domains. Poisson regression models were used to measure the variation of indicators over time. We considered the changes corresponding to a regression coefficient different from zero as being statistically significant (p<0.05). RESULTS: The percentage of active commuters increased from 11.7 to 14.4% (p<0.001) whereas the proportion of physically inactive individuals in the four domains decreased from 11.7 to 8.7% (p<0.001). There were no significant changes in the other indicators. Women were less active than men in all indicators, except for household chores. However, in this indicator the percentage of active women decreased from 71.4 to 67.1% (p<0.001). Between 2006 and 2009, PA levels in the Brazilian population were stable during free time and household chores, but increased in transportation, resulting in a decrease in the percentage of inactive individuals. CONCLUSION: The continued monitoring and strengthening of VIGITEL are public health priorities, and PA is a key part of it. In the long run, PA evolution may be re-evaluated.
OBJECTIVE: To examine time trends in physical activity (PA) in Brazilian state capitals from 2006 to 2009. METHODS: This analysis is based on data from the Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL) accounting for an annual sample of approximately 54,000 individuals. PA indicators were analyzed in free time (leisure), work, home and transportation, time spent in front of the television and inactivity considering all PA domains. Poisson regression models were used to measure the variation of indicators over time. We considered the changes corresponding to a regression coefficient different from zero as being statistically significant (p<0.05). RESULTS: The percentage of active commuters increased from 11.7 to 14.4% (p<0.001) whereas the proportion of physically inactive individuals in the four domains decreased from 11.7 to 8.7% (p<0.001). There were no significant changes in the other indicators. Women were less active than men in all indicators, except for household chores. However, in this indicator the percentage of active women decreased from 71.4 to 67.1% (p<0.001). Between 2006 and 2009, PA levels in the Brazilian population were stable during free time and household chores, but increased in transportation, resulting in a decrease in the percentage of inactive individuals. CONCLUSION: The continued monitoring and strengthening of VIGITEL are public health priorities, and PA is a key part of it. In the long run, PA evolution may be re-evaluated.
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