Assessing Participation in Community-Based Physical Activity Programs in Brazil

Details

• Alternative Title:
  Med Sci Sports Exerc
• Personal Author:
  REIS, RODRIGO S. ; YAN, YAN ; PARRA, DIANA C. ; BROWNSON, ROSS C.
• 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.
  
  
• Subjects:
  Adult Brazil Educational Status Female Health Status Humans Male Middle Aged Models, Theoretical Motor Activity Residence Characteristics Risk Assessment Safety Sex Factors Social Participation

  More +
• Keywords:
  ADULTS EVIDENCE-BASED PUBLIC HEALTH HEALTH PROMOTION RISK MODELING
• Source:
  Med Sci Sports Exerc. 2013; 46(1):92-98
• Pubmed ID:
  23846162
• Pubmed Central ID:
  PMC4476502
• Document Type:
  Journal Article
• Funding:
  P30 DK092950/DK/NIDDK NIH HHSUnited States/ ; U48 DP001903/DP/NCCDPHP CDC HHSUnited States/ ; U48/DP001903/DP/NCCDPHP CDC HHSUnited States/
• Volume:
  46
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:4eb88e85d5aae89394c0e1158ef7447d98cd76b61bdf8ea3e987ddd216047692
• Download URL:
  https://stacks.cdc.gov/view/cdc/31733/cdc_31733_DS1.pdf
• File Type:
  [PDF - 292.89 KB ]