Availability of public open space and the practice of leisure-time physical activity among the Brazilian adult population

Time trend of overweight and obesity prevalence among older people in Brazilian State Capitals and the Federal District from 2006 to 2019

Although the share of older people has been growing in Brazil in past decades, studies investigating trends in overweight and obesity prevalence in this population remain scarce. The objective of this study was to analyze the time trend of overweight and obesity prevalence in older adults in Brazilian State Capitals and the Federal District from 2006 to 2019. This is a time trend study based on data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey. The subsample used was composed of individuals aged 60 years or older (n = 202,049). Self-reported weight and height data were used to calculate Body Mass Index (BMI). Overweight (BMI ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) prevalence were estimated per year for the total population and according to sex, age, schooling, region, and NCD presence. Prais-Winsten regression models were used to identify significant trends in overweight and obesity prevalence over the years. Overweight prevalence increased (p < 0.05) from 53.7 to 61.4% (1.09% per year) within the assessed period, whereas obesity prevalence increased from 16.1 to 22.3% (2.28% per year). Greater increases were observed among men, those aged 70 years old and over, with more than 9-year of schooling, and from less developed regions. The highest increases were observed in groups with the lowest values at the beginning of the study period. Results evidenced the high and growing prevalence of overweight and obesity among older people in Brazilian.

Nível de atividade física de adultos: associação com escolaridade, renda e distância dos espaços públicos abertos em Criciúma, Santa Catarina

RESUMO O objetivo do estudo foi avaliar a associação entre o nível de atividade física com a escolaridade e renda de adultos e distância dos espaços públicos abertos de Criciúma, Santa Catarina, Brasil. Aplicou-se um questionário para avaliar o perfil da população criciumense, e a avaliação dos espaços foi em in loco por meio do instrumento Physical Activity Resource Assessment – PARA. Identificou-se 100 espaços e entrevistou-se 820 residentes de ambos os sexos. Verificou-se que 74,9% da população não alcança a recomendação mínima de atividade física semanal. A variável escolaridade apresentou associação positiva com o nível de atividade física. Conclui-se que há necessidade de desenvolver estratégias que estimulem comportamentos ativos e reformulação de políticas públicas para utilização dos espaços públicos, promovendo uma cidade saudável.

Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil

OBJECTIVE

To investigate the variation of anthropometric indicators from 2013 to 2019 and the factors associated with obesity in Brazil, using information from the National Health Survey.

METHODS

Cross-sectional study with cluster sampling and simple random sampling in the three stages. Measurements of weight and height among participants in 2013 (n=59,592) and in 2019 (n=6,672) were used. Differences in obesity prevalence were tested by Student's t test for independent samples. To identify the sociodemographic factors and health problems associated with obesity, we used Poisson regression models with robust variance and crude and age-adjusted prevalence ratios to test the associations.

RESULTS

From 2013 to 2019, prevalence of obesity increased significantly, from 20.8 to 25.9%. Among men, the greatest increases were found in the 40-59 age group (9.1%) and in the median income category (8.3%). Among women, the greatest rises were found among those with low education (8.7%) and non-white ones (6.0%). For both males and females, factors associated with obesity were age, to live with a partner, level of instruction directly associated among men, and inversely associated among women. In 2019, for males, the crude and adjusted prevalence ratios were significant for high cholesterol, high blood pressure and at least one chronic non-communicable disease and, for females, for poor self-rated health, high blood pressure, diabetes, and at least one chronic non-communicable.

CONCLUSION

It is necessary to implement intersectoral policies to promote changes in eating habits and encourage the practice of physical activity, taking into account economic, social, cultural, and environmental aspects.

Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys

BACKGROUND

Large-scale health surveys often consider sociodemographic characteristics and several health indicators influencing physical activity that often vary across subpopulations. Data in a survey for some small subpopulations are often not representative of the larger population.

OBJECTIVE

We developed a multilevel regression and poststratification (MRP) model to estimate leisure-time physical activity across Brazilian state capitals and evaluated whether the MRP outperforms single-level regression estimates based on the Brazilian cross-sectional national survey VIGITEL (2018).

METHODS

We used various approaches to compare the MRP and single-level model (complete-pooling) estimates, including cross-validation with various subsample proportions tested.

RESULTS

MRP consistently had predictions closer to the estimation target than single-level regression estimations. The mean absolute errors were smaller for the MRP estimates than single-level regression estimates with smaller sample sizes. MRP presented substantially smaller uncertainty estimates compared to single-level regression estimates. Overall, the MRP was superior to single-level regression estimates, particularly with smaller sample sizes, yielding smaller errors and more accurate estimates.

CONCLUSION

The MRP is a promising strategy to predict subpopulations' physical activity indicators from large surveys. The observations present in this study highlight the need for further research, which could, potentially, incorporate more information in the models to better interpret interactions and types of activities across target populations.