Key result
Metabolic syndrome affects ~25% of individuals, with higher rates seen in men.
Cross-Sectional (n=1,349)
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.
No takes yet. Share an insight, caveat, or question.
Alkerwi et al. (2011) conducted a cross-sectional in Metabolic syndrome (n=1,349). Dietary, behavioural, and socio-economic factors was evaluated on Prevalence of metabolic syndrome (MetS). The overall prevalence of metabolic syndrome was 24.7% (18.5% in women vs 30.8% in men, P<0.0001), with age, male gender, physical inactivity, and inadequate protein intake identified as determinants.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: