Dietary, behavioural and socio-economic determinants of the metabolic syndrome among adults in Luxembourg: findings from the ORISCAV-LUX study

Public Health Nutr. 2012 May;15(5):849-59. doi: 10.1017/S1368980011002278. Epub 2011 Sep 14.

Abstract

Objective: The purpose of the present research was to investigate the epidemiological profile of the metabolic syndrome (MetS) and to explore its potential dietary, behavioural and socio-economic determinants among European adults residing in Luxembourg.

Design: Cross-sectional, population-based ORISCAV-LUX survey.

Setting: European adults aged 18-69 years residing in Luxembourg.

Subjects: A total of 1349 Europid adults, who participated in the ORISCAV-LUX survey, were included in the study. The prevalence of MetS was estimated according to the Revised-Adult Treatment Panel (R-ATPIII) criteria. Multivariate logistic regression was used to identify the dietary, behavioural and socio-economic factors independently associated with MetS.

Results: The overall prevalence of MetS was 24.7 % with significant gender difference (18.5 % for women v. 30.8 % for men, P < 0.0001). Age, male gender, primary level of education, physical inactivity, family history of diabetes and hypertension and inadequate protein intake were identified as significant determinants of MetS, after adjusting for other socio-economic, family medical history and lifestyle factors.

Conclusions: MetS is a common condition among Europid adults in Luxembourg and increases dramatically with age, in both genders. Several dietary, socio-economic and behavioural factors explain the disparity observed. These findings highlight the importance of a comprehensive approach to MetS encompassing dietary, lifestyle and socio-economic aspects, both in clinical and community settings.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Cross-Sectional Studies
  • Diet / statistics & numerical data*
  • Female
  • Health Behavior*
  • Humans
  • Life Style
  • Logistic Models
  • Luxembourg / epidemiology
  • Male
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / etiology
  • Middle Aged
  • Multivariate Analysis
  • Prevalence
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors
  • Young Adult