Background: Understanding environmental correlates of physical activity can inform

The prevalence of adult LTPA in Brazil was much lower than the levels that have been reported for developed countries. However, the demographic and social distribution of LTPA in Brazil followed a pattern similar to the one usually observed in developed nations, where men tend to be more active than women, increasing age limits LTPA, and higher socioeconomic status is associated with more LTPA. Our data will provide a baseline to evaluate the impact on LTPA of "Agita Brasil" ("Move, Brazil"), an initiative to encourage physical activity that was implemented in the country after 1997.

The purpose of this paper is to present key points of an intervention programme (Agita São Paulo Program) to promote physical activity in a developing country. Agita is a multi-level, community-wide intervention designed to increase knowledge about the benefits and the level of physical activity in a mega-population of 34 million inhabitants of São Paulo State, Brazil. The main message was taken from the Centers for Disease Control/American College of Sports Medicine (CDC/ACSM) recommendation that: 'everyone should accumulate at least 30 minutes of physical activity, on most days of the weeks, of moderate intensity, in one single or in multiple sessions'. Activities were encouraged in three settings: home, transport and leisure time. Focus groups were students from elementary schools through to college, white and blue collar workers, and elderly people. Innovative aspects included: (1) a research centre leading the process, (2) scientific and institutional partnerships (over 160 groups), (3) a feasible approach -the 'one-step-ahead' model, (4) empowerment, (5) inclusion, (6) non-paid media, (7) social marketing, and (8) culture-linked. Data were obtained from 645 random, home-based questionnaires over four years -stratified by sex, age, education and socio-economic level. These data show that the Agita message reached 55.7% of the population, and among these, 23.1% knew the main message. Recall of Agita and knowledge of its purpose were well distributed among different socioeconomic levels, being known by 67% of the most educated. The prevalence of people reaching the recommendation was 54.8% (men 48.7%, women 61%); and risk of being sedentary was quite smaller among those who knew the Agita message (7.1%) compared with those who did not know (13.1%). In conclusion, based upon the Agita São Paulo experience, it appears that a multi-level, community-wide intervention to promote physical activity may obtain good results if the model contains the items listed above. Keywords Health promotion Physical activity Programme interventionPromoting an active lifestyle in the general population as an important tool to prevent the multiple consequences of metabolic syndrome has been difficult in the past. The purpose of this paper is to present some of the experiences of the Agita São Paulo Program, a multi-level, communitywide, physical activity intervention programme that was created in Brazil 1,2 . The programme was especially addressed to the people in the state of São Paulo. Brazil is in the middle of the epidemiological transition, as shown by an increase in deaths from cardiovascular diseases (CVDs) 3,4 and obesity prevalence 5 while experiencing a decrease in infectious and parasitic diseases. CVDs are responsible for the deaths of about 300 000 Brazilians a year, representing one death every two minutes 6 . The rate in São Paulo State (30.8%) is higher than the national average 7 . This can be explained, in part, by the results of several surveys that have indicated a large proportion of Brazilians are not m...

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BackgroundAlthough ‘unhealthy’ diet is a well-known risk factor for non-communicable diseases, its relationship with socio-economic status (SES) has not been fully investigated. Moreover, the available research has largely been conducted in countries at high levels of human development. This is the first study to examine relationships among dietary patterns and SES of children from countries spanning a wide range of human development.MethodsThis was a multinational cross-sectional study among 9–11 year-old children (n = 6808) from urban/peri-urban sites across 12 countries. Self-reported food frequency questionnaires were used to determine the children’s dietary patterns. Principal Components Analysis was employed to create two component scores representing ‘unhealthy’ and ‘healthy’ dietary patterns. Multilevel models accounting for clustering at the school and site level were used to examine the relationships among dietary patterns and SES.ResultsThe mean age of participants in this study (53.7% girls) was 10.4 years. Largest proportions of total variance in dietary patterns occurred at the individual, site, and school levels (individual, school, site: 62.8%; 10.8%; 26.4% for unhealthy diet pattern (UDP) and 88.9%; 3.7%; 7.4%) for healthy diet pattern (HDP) respectively. There were significant negative ‘unhealthy’ diet-SES gradients in 7 countries and positive ‘healthy’ diet-SES gradients in 5. Within country diet-SES gradients did not significantly differ by HDI. Compared to participants in the highest SES groups, unhealthy diet pattern scores were significantly higher among those in the lowest within-country SES groups in 8 countries: odds ratios for Australia (2.69; 95% CI: 1.33–5.42), Canada (4.09; 95% CI: 2.02–8.27), Finland (2.82; 95% CI: 1.27–6.22), USA (4.31; 95% CI: 2.20–8.45), Portugal (2.09; 95% CI: 1.06–4.11), South Africa (2.77; 95% CI: 1.22–6.28), India (1.88; 95% CI: 1.12–3.15) and Kenya (3.35; 95% CI: 1.91–5.87).ConclusionsThis study provides evidence of diet-SES gradients across all levels of human development and that lower within-country SES is strongly related to unhealthy dietary patterns. Consistency in within-country diet-SES gradients suggest that interventions and public health strategies aimed at improving dietary patterns among children may be similarly employed globally. However, future studies should seek to replicate these findings in more representative samples extended to more rural representation.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-017-4383-8) contains supplementary material, which is available to authorized users.