Education, school type and screen time were associated with overweight and obesity in 2930 adolescents

Acta Paediatr. 2018 Mar;107(3):517-522. doi: 10.1111/apa.14149. Epub 2017 Dec 5.

Abstract

Aim: This cross-sectional study analysed the influence of socio-economic factors on screen time, overweight and obesity.

Methods: We asked adolescents aged 10, 14 and 17 from 10 school types in urban and rural regions in Upper Austria to complete questionnaires from December 2012 to February 2013. Their parents were also asked to complete questionnaires.

Results: The questionnaires were completed by 2930 adolescents and 2209 parents. Total weekend screen time was significantly associated with a higher body mass index (BMI) in 10-year-old boys (p < 0.005) and 10-year-old girls (p = 0.002), and there were significant associations between higher BMI and television time and longer weekend video game use in subjects aged 10 and 14. Higher education levels were associated with shorter daily video game use and longer computer use. Males (p < 0.0001) and adolescents from immigrant families (p < 0.0001) reported longer screen times at all ages. Lower parental education and higher parental BMI correlated significantly with longer screen time and BMI in the youngest age group.

Conclusion: The greatest weight problems were in younger adolescents, despite shorter screen times, and boys and adolescents from immigrant families reported the longest screen times. Prevention strategies need to start early.

Keywords: Adolescents; Body mass index; Obesity; Parental education; Screen time.

MeSH terms

  • Adolescent
  • Age Factors
  • Austria
  • Body Mass Index*
  • Child
  • Cross-Sectional Studies
  • Education / methods
  • Female
  • Humans
  • Incidence
  • Linear Models
  • Male
  • Multivariate Analysis
  • Overweight / diagnosis
  • Overweight / epidemiology
  • Pediatric Obesity / epidemiology*
  • Pediatric Obesity / etiology
  • Risk Assessment
  • Rural Population
  • Schools / classification*
  • Screen Time*
  • Sex Factors
  • Surveys and Questionnaires*
  • Television / statistics & numerical data*
  • Urban Population