Energy drink consumption and the relation to socio-demographic factors and health behaviour among young adults in Denmark. A population-based study

Eur J Public Health. 2014 Oct;24(5):840-4. doi: 10.1093/eurpub/cku003. Epub 2014 Feb 14.

Abstract

Background: The objective of this study is to estimate the prevalence of energy drink consumption and examine the associations of socio-demographic factors and health behaviour with energy drink consumption among young adults in Denmark.

Methods: The study is based on a public health survey from 2010 (n = 3923). Multiple logistic regression analyses were used to analyse the association between weekly consumption of energy drink and the potential explanatory factors of interest.

Results: In total, 15.8 % of the young adults drink energy drinks on a weekly basis. Men have higher odds of weekly energy drink consumption than women. The study also shows that young age, being employed and having a low educational level are associated with weekly energy drink consumption. According to health behaviour, daily smoking, high amounts of alcohol consumption, alcoholic binge drinking and being overweight are associated with weekly energy drink consumption.

Conclusion: Compared with other European countries the prevalence of energy drink consumption is relatively low in Denmark. In Denmark energy drink consumption is typically a male phenomenon and there is a clear social gradient in the prevalence of energy drink consumption where the intake is far more common among people with low levels of education than among people with higher levels of education. This study also shows that there is some kind of 'add on' effect of energy drinks, meaning that people who also use other stimulants-such as alcohol and cigarettes-are more inclined to consume energy drinks.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Alcohol-Related Disorders / epidemiology
  • Comorbidity
  • Denmark / epidemiology
  • Educational Status
  • Employment / statistics & numerical data
  • Energy Drinks / statistics & numerical data*
  • Female
  • Health Behavior*
  • Health Surveys / methods*
  • Health Surveys / statistics & numerical data*
  • Humans
  • Male
  • Overweight / epidemiology
  • Prevalence
  • Sex Distribution
  • Smoking / epidemiology
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Young Adult