Active Commuting by Bicycle: Results of an Educational Intervention Study.

OBJECTIVE: The objective of this study was to assess the effectiveness of an educational intervention on active commuting by bicycle. METHODS: An intervention study with workers from a metallurgical industry in Santa Catarina state, Brazil was carried out in 2011. A total of 464 individuals were placed in the intervention group (IG) and 468 in the control group (CG). The intervention consisted of strategies based on the transtheoretical model and stages of behavior change. The intervention group took part in activities for 6 months, including 23 meetings. The statistical analysis included intergroup comparison (IG × CG) at baseline and after the intervention. Intragroup analysis was performed 6 months after the intervention. Student's t-test, chi-square, and McNemar tests were used to analyze the data. RESULTS: Of the original total, 876 individuals (94%) participated in the study. The proportion of participants that used bicycles to commute to work (IG) increased significantly from baseline (45.3%) to the final interventional period (47.5%). No difference was found between the CG and the IG group after the interventional period. CONCLUSION: We suggest taking these findings into consideration in further studies to understand better the role of educational intervention on active commuting by bicycle.

Clustering of Physical Inactivity in Leisure, Work, Commuting, and Household Domains: Data From 47,477 Industrial Workers in Brazil.

BACKGROUND: Physical inactivity in each domain (leisure, work, commuting, and household) is not completely independent. This study aimed to describe the clustering of physical inactivity in different domains and its association with sociodemographic factors among Brazilian industrial workers. METHODS: This was a cross-sectional, population-based study using data from 23 Brazilian states and the Federal District collected via questionnaires between 2006 and 2008. Physical inactivity in each domain was defined as nonparticipation in specific physical activities. Clustering of physical inactivity was identified using the ratio of the observed (O) and expected (E) percentages of each combination. Multinomial logistic regression was used to identify sociodemographic factors with the outcome. RESULTS: Among the 44,477 interviewees, most combinations exceeded expectations, particularly the clustering of physical inactivity in all domains among men (O/E = 1.37; 95% CI: 1.30; 1.44) and women (O/E = 1.47; 95% CI: 1.36; 1.60). Physical inactivity in 2 or more domains was observed more frequently in women, older age groups, individuals living without a partner, and those with higher education and income levels. CONCLUSIONS: Physical inactivity tends to be observed in clusters regardless of gender. Women and workers with higher income levels were the main factors associated with to be physically inactive in 2 or more domains.

Trends in screen time on week and weekend days in a representative sample of Southern Brazil students.

BACKGROUND: Economic and technological improvements can help increase screen time use among adolescents, but evidence in developing countries is scarce. The aim of this study was to examine changes in TV watching and computer/video game use patterns on week and weekend days after a decade (2001 and 2011), among students in Santa Catarina, southern Brazil. METHODS: A comparative analysis of two cross-sectional surveys that included 5 028 and 6 529 students in 2001 and 2011, respectively, aged 15-19 years. The screen time use indicators were self-reported. 95% Confidence intervals were used to compare the prevalence rates. All analyses were separated by gender. RESULTS: After a decade, there was a significant increase in computer/video game use. Inversely, a significant reduction in TV watching was observed, with a similar magnitude to the change in computer/video game use. The worst trends were identified on weekend days. CONCLUSIONS: The decrease in TV watching after a decade appears to be compensated by the increase in computer/video game use, both in boys and girls. Interventions are needed to reduce the negative impact of technological improvements in the lifestyles of young people, especially on weekend days.

Factors associated with active commuting to school and to work among Brazilian adolescents.

BACKGROUND: Active commuting has decreased substantially in recent decades and has been more frequent in specific demographic and socioeconomic profiles. The objective of this study was to describe the prevalence of active trips and the possible associations with demographic and socioeconomic variables. METHODS: A questionnaire on lifestyle and risk behavior was administered to a sample population of 5028 adolescents, ages 15 to 19 years, attending public high schools in the state of Santa Catarina, Brazil. Logistic regressions (odds ratio--OR; 95% confidence interval) were used to test associations. RESULTS: Active commuting to school was reported for 56.7% of students, and active commuting to work was reported for 70.0%. The likelihood of commuting passively was greater among girls (school: OR = 1.27; 1.10-1.45), older adolescents (school: OR = 1.17; 1.02-1.33; work: OR = 1.49; 1.22-1.82), those who lived in rural areas (school: OR = 12.1; 9.91-14.8), those who spent more time in commuting (school: OR = 2.33; 2.01-2.69; work: OR = 4.35; 3.52-5.38), and those from high-income families (school: OR = 1.40; 1.21-1.62; work: OR = 1.69; 1.37-2.08). CONCLUSIONS: The proportion of students taking active trips was higher when going to work than to school. All indicators were associated with the mode of commuting, except gender and place of residence for commuting to work.