Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies

Prev Med. 2016 Jan;82:111-7. doi: 10.1016/j.ypmed.2015.11.019. Epub 2015 Nov 22.

Abstract

Backgroud: Several lifestyle-related behaviors are associated with cardiovascular health outcomes in adolescents. To examine the associations between clustered lifestyle-related behaviors and blood pressure (BP) levels in adolescents.

Methods: Participants were recruited by multistage random cluster in two cross-sectional studies; one conducted in 2006 and 2007 in ten cities from nine European countries: Athens and Heraklion in Greece, Dortmund in Germany, Ghent in Belgium, Lille in France, Pécs in Hungary, Rome in Italy, Stockholm in Sweden, Vienna in Austria, and Zaragoza in Spain; and another conducted in 2007 one city in Brazil (Maringá/PR). Systolic BP (SBP) and diastolic BP (DBP) (outcomes) and clustered behaviors (weekly consumption of fruits and vegetables, weekly consumption of sugar-sweetened beverages, sleep duration, screen time and physical activity) were analyzed.

Results: The Healthy Eating cluster was negatively associated with DBP in European girls, β=-2.46 (-4.62; -0.30), and with SBP in Brazilian boys, β=-2.79 (-3.10; -0.15). Furthermore, the Unhealthy Eating cluster was associated with increased SBP in European girls, β=4.54 (1.29; 7.79), and in Brazilian boys, β=4.10 (0.80; 7.40).

Conclusion: The Healthy Eating cluster was associated with lower blood pressure, whereas the Unhealthy Eating cluster was associated with increased SBP in adolescents.

Keywords: Adolescents; Blood pressure; Cross-sectional studies; Lifestyle-related behaviors.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior
  • Blood Pressure / physiology*
  • Brazil
  • Child
  • Cross-Sectional Studies
  • Europe
  • Feeding Behavior*
  • Female
  • Health Behavior
  • Humans
  • Life Style*
  • Male
  • Sex Factors
  • Socioeconomic Factors