Clustering of health-related behaviors among early and mid-adolescents in Tuscany: results from a representative cross-sectional study

J Public Health (Oxf). 2018 Mar 1;40(1):e25-e33. doi: 10.1093/pubmed/fdw134.

Abstract

Background: A huge amount of literature suggests that adolescents' health-related behaviors tend to occur in clusters, and the understanding of such behavioral clustering may have direct implications for the effective tailoring of health-promotion interventions. Despite the usefulness of analyzing clustering, Italian data on this topic are scant. This study aimed to evaluate the clustering patterns of health-related behaviors.

Methods: The present study is based on data from the Health Behaviors in School-aged Children (HBSC) study conducted in Tuscany in 2010, which involved 3291 11-, 13- and 15-year olds. To aggregate students' data on 22 health-related behaviors, factor analysis and subsequent cluster analysis were performed.

Results: Factor analysis revealed eight factors, which were dubbed in accordance with their main traits: 'Alcohol drinking', 'Smoking', 'Physical activity', 'Screen time', 'Signs & symptoms', 'Healthy eating', 'Violence' and 'Sweet tooth'. These factors explained 67% of variance and underwent cluster analysis. A six-cluster κ-means solution was established with a 93.8% level of classification validity. The between-cluster differences in both mean age and gender distribution were highly statistically significant.

Conclusions: Health-compromising behaviors are common among Tuscan teens and occur in distinct clusters. These results may be used by schools, health-promotion authorities and other stakeholders to design and implement tailored preventive interventions in Tuscany.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior*
  • Alcohol Drinking / epidemiology
  • Bullying / statistics & numerical data
  • Child
  • Cluster Analysis
  • Cross-Sectional Studies
  • Diet / statistics & numerical data
  • Factor Analysis, Statistical
  • Female
  • Health Behavior*
  • Humans
  • Italy / epidemiology
  • Male
  • Sedentary Behavior
  • Smoking / epidemiology
  • Violence / statistics & numerical data