The association of social and behavioral factors with dietary risks in adults: Evidence from the Kardiovize Brno 2030 study
Language English Country Netherlands Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
32249142
DOI
10.1016/j.numecd.2020.02.009
PII: S0939-4753(20)30057-0
Knihovny.cz E-resources
- Keywords
- Behaviours, Cardiovascular risk, Diet, Epidemiology, Public health, Sociodemographic factors,
- MeSH
- Exercise MeSH
- Diet adverse effects MeSH
- Adult MeSH
- Risk Assessment MeSH
- Cardiovascular Diseases diagnosis epidemiology MeSH
- Smoking adverse effects epidemiology MeSH
- Middle Aged MeSH
- Humans MeSH
- Marital Status MeSH
- Nutritive Value MeSH
- Income MeSH
- Prospective Studies MeSH
- Cross-Sectional Studies MeSH
- Risk Factors MeSH
- Sedentary Behavior MeSH
- Sex Factors MeSH
- Social Determinants of Health * MeSH
- Sleep MeSH
- Feeding Behavior * MeSH
- Educational Status MeSH
- Age Factors MeSH
- Employment MeSH
- Health Behavior * MeSH
- Habits MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic epidemiology MeSH
BACKGROUND AND AIMS: Uncovering the main determinants of diet quality is one of the greatest challenges for Public Health, since it could guide future strategies and interventions against cardiovascular diseases (CVDs). The present cross-sectional analysis of the Kardiovize cohort evaluates the prevalence of dietary risk factors for CVDs and their association with social and behavioural characteristics in a random sample of 1536 adults (aged 25-64 years) from Brno, Czech Republic. METHODS AND RESULTS: A face-to-face health interview guided by structured questionnaires was carried out on socio-demographic characteristics (age, sex, educational level, employment, marital status, income, and household size) and behaviours (smoking status, physical activity, and sleep habits). Twelve dietary risk factors covered by the Global Burden of Diseases comparative risk assessment framework were assessed using a Food Frequency Questionnaire. In general, we observed that the consumption of nearly all healthy foods and nutrients was suboptimal, and that it was also aggravated by high intake of foods and nutrients that constituted dietary risk factors. Moreover, we found several associations of social and behavioural characteristics with specific dietary risk factors. Particularly, being male (β = 0.466; SE = 0.079; p < 0.001), increasing household size (β = 0.130; SE = 0.047; p = 0.006), low income (β = 0.192; SE = 0.091; p = 0.035), and decreasing physical activity level (β = 0.172; SE = 0.054; p = 0.002) were associated with increasing number of dietary risk factors. CONCLUSION: Thus, our study raises an urgent need for Public Health strategies promoting healthy eating in adulthood, which should be based on traditional and novel determinants of dietary risk.
References provided by Crossref.org
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