Modifiable lifestyle behavior patterns, sedentary time and physical activity contexts: a cluster analysis among middle school boys and girls in the SALTA study

Prev Med. 2013 Jun;56(6):413-5. doi: 10.1016/j.ypmed.2013.02.026. Epub 2013 Apr 6.

Abstract

Objective: To analyze how modifiable health-related variables are clustered and associated with children's participation in play, active travel and structured exercise and sport among boys and girls.

Methods: Data were collected from 9 middle-schools in Porto (Portugal) area. A total of 636 children in the 6th grade (340 girls and 296 boys) with a mean age of 11.64 years old participated in the study. Cluster analyses were used to identify patterns of lifestyle and healthy/unhealthy behaviors. Multinomial logistic regression analysis was used to estimate associations between cluster allocation, sedentary time and participation in three different physical activity (PA) contexts: play, active travel, and structured exercise/sport.

Results: Four distinct clusters were identified based on four lifestyle risk factors. The most disadvantaged cluster was characterized by high body mass index, low high-density lipoprotein cholesterol and cardiorespiratory fitness and a moderate level of moderate to vigorous PA. Everyday outdoor play (OR=1.85, 95%CI 0.318-0.915) and structured exercise/sport (OR=1.85, 95%CI 0.291-0.990) were associated with healthier lifestyle patterns. There were no significant associations between health patterns and sedentary time or travel mode.

Conclusion: Outdoor play and sport/exercise participation seem more important than active travel from school in influencing children's healthy cluster profiles.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index
  • Child
  • Cholesterol, HDL / blood
  • Cluster Analysis
  • Exercise Test
  • Female
  • Health Behavior*
  • Humans
  • Male
  • Motor Activity*
  • Physical Fitness
  • Portugal
  • Recreation
  • Risk Assessment
  • Risk Factors
  • Sedentary Behavior*
  • Students / statistics & numerical data*
  • Travel

Substances

  • Cholesterol, HDL