Healthy behaviours, lifestyle patterns and sociodemographic determinants of the metabolic syndrome
Language English Country Czech Republic Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
19418714
DOI
10.21101/cejph.a3512
Knihovny.cz E-resources
- MeSH
- Risk Reduction Behavior * MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Metabolic Syndrome epidemiology prevention & control MeSH
- Young Adult MeSH
- Odds Ratio MeSH
- Cross-Sectional Studies MeSH
- Risk MeSH
- Aged MeSH
- Leisure Activities * MeSH
- Health Behavior * MeSH
- Health Surveys * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Poland epidemiology MeSH
AIM: The aim of this study was to examine the influence of healthy behaviours, lifestyle patterns and sociodemographic factors on risk of the metabolic syndrome (MS) in adult residents of rural, small town and large urban areas in Poland. MATERIAL AND METHODS: Cross-sectional analysis of randomly selected representative sample of 1,187 men and women aged 20-74 years participating in the nationwide health survey WOBASZ. Metabolic syndrome was defined by AHA/NCEP criteria (2005). Analysed healthy behaviours included nonsmoking, healthy weight, adequate fruits and vegetables consumption, regular leisure-time physical activity. The 4 lifestyle factors were summed to create a lifestyle index (range 0-4). RESULTS: Regardless of gender healthy weight, adequate fruits and vegetables consumption and physical activity were associated with lower odds of MS. Non-smoking was significantly related to the lower odds ratio of MS only among men. Following all 4 lifestyle factors was the strongest protective factor against having MS. Being higher educated, in the 20- 34-years-old cohort, living in the rural area were the most important sociodemographic factors reducing risk of MS. CONCLUSIONS: The obtained results support the need for effective promotion of healthy behaviors and lifestyle patterns, especially in demonstrated high-risk sub-populations. Due to important differences in metabolic risk between various sociodemographic groups, health promotion interventions should be specific in respect to the targeted subpopulations.
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