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Assessing Participation in Community-Based Physical Activity Programs in Brazil
Filetype[PDF - 292.89 KB]


Details:
  • Pubmed ID:
    23846162
  • Pubmed Central ID:
    PMC4476502
  • Description:
    Purpose

    This study aimed to develop and validate a risk prediction model to examine the characteristics that are associated with participation in community-based physical activity programs in Brazil.

    Methods

    We used pooled data from three surveys conducted from 2007 to 2009 in state capitals of Brazil with 6166 adults. A risk prediction model was built considering program participation as an outcome. The predictive accuracy of the model was quantified through discrimination (C statistic) and calibration (Brier score) properties. Bootstrapping methods were used to validate the predictive accuracy of the final model.

    Results

    The final model showed sex (women: odds ratio [OR] = 3.18, 95% confidence interval [CI] = 2.14–4.71), having less than high school degree (OR = 1.71, 95% CI = 1.16–2.53), reporting a good health (OR = 1.58, 95% CI = 1.02–2.24) or very good/excellent health (OR = 1.62, 95% CI = 1.05–2.51), having any comorbidity (OR = 1.74, 95% CI = 1.26–2.39), and perceiving the environment as safe to walk at night (OR = 1.59, 95% CI = 1.18–2.15) as predictors of participation in physical activity programs. Accuracy indices were adequate (C index = 0.778, Brier score = 0.031) and similar to those obtained from bootstrapping (C index = 0.792, Brier score = 0.030).

    Conclusions

    Sociodemographic and health characteristics as well as perceptions of the environment are strong predictors of participation in community-based programs in selected cities of Brazil.

  • Document Type:
  • Collection(s):
  • Funding:
    P30 DK056341/DK/NIDDK NIH HHS/United States
    U48 DP001903/DP/NCCDPHP CDC HHS/United States
    U48/DP001903/DP/NCCDPHP CDC HHS/United States
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