Health, alcohol and psychosocial factors in Eastern Europe study: dietary patterns and their association with socio-demographic factors in the Lithuanian urban population of Kaunas city.
OBJECTIVE
The purpose of this study was to identify the main dietary patterns in the Lithuanian urban population and to determine their association with socio-demographic factors.


METHODS
Data from the survey performed in the framework of the HAPIEE (Health, Alcohol, Psychosocial factors In Eastern Europe) study were presented. A random sample of 7,087 individuals aged 45-72 years was screened in 2006-2008.


RESULTS
Factor analysis of the main dietary patterns revealed a five-factor solution, which accounted for 47.8% of the variance: "fresh vegetables and fruit"; "sweets"; "porridge and cereals"; "potatoes, meat, boiled vegetables and eggs"; "chicken and fish". "Fresh vegetables and fruits" factor and "sweets" factor were inversely associated with age both in men and women: older people consumed less frequent than average of the particular food groups. Dietary patterns of people with good self-rated health and university education were healthier than among people with lower education and poorer health.


CONCLUSIONS
Nutrition education efforts should focus on improving food diversity, with particular targeting of lower educated, single and older people.
Luksiene
Dalia Ieva
DI
Laboratory of Population Studies, Institute of Cardiology, Kaunas University of Medicine, Kaunas, Lithuania. dalia.luksiene@med.kmu.lt
Baceviciene
Migle
M
Tamosiunas
Abdonas
A
Daugeliene
Evelina
E
Kranciukaite
Daina
D
D000367:Age Factors; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology*; D004032:Diet; D004522:Educational Status; D005247:Feeding Behavior; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D008019:Life Style; D008097:Lithuania / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D011584:Psychology; D011897:Random Allocation; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data*