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

Overview

Journal Int J Public Health

Specialty Public Health

Date 2010 Aug 13

PMID 20703510

Citations 6

Authors

Dalia Ieva Luksiene

Migle Baceviciene

Abdonas Tamosiunas

Evelina Daugeliene

Daina Kranciukaite

Affiliations

Soon will be listed here.

Abstract

Objectives: 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.

Conclusion: Nutrition education efforts should focus on improving food diversity, with particular targeting of lower educated, single and older people.

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References

Naska A, Fouskakis D, Oikonomou E, Almeida M, Berg M, Gedrich K . Dietary patterns and their socio-demographic determinants in 10 European countries: data from the DAFNE databank. Eur J Clin Nutr. 2005; 60(2):181-90. DOI: 10.1038/sj.ejcn.1602284. View

Grabauskas V, Petkeviciene J, Kriaucioniene V, Klumbiene J . Health inequalities in Lithuania: education and nutrition habits. Medicina (Kaunas). 2004; 40(9):875-83. View

Pomerleau J, McKee M, Robertson A, Kadziauskiene K, Abaravicius A, Vaask S . Macronutrient and food intake in the Baltic republics. Eur J Clin Nutr. 2001; 55(3):200-7. DOI: 10.1038/sj.ejcn.1601146. View

Pomerleau J, McKee M, Robertson A, Kadziauskiene K, Abaravicius A, Bartkeviciute R . Dietary beliefs in the Baltic republics. Public Health Nutr. 2001; 4(2):217-25. DOI: 10.1079/phn200056. View

Akbaraly T, Brunner E . Socio-demographic influences on trends of fish consumption during later adult life in the Whitehall II study. Br J Nutr. 2008; 100(5):1116-27. DOI: 10.1017/S0007114508971312. View

Hu F . Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002; 13(1):3-9. DOI: 10.1097/00041433-200202000-00002. View

Fraser G, Welch A, Luben R, Bingham S, Day N . The effect of age, sex, and education on food consumption of a middle-aged English cohort-EPIC in East Anglia. Prev Med. 2000; 30(1):26-34. DOI: 10.1006/pmed.1999.0598. View

Fung T, Hu F, Holmes M, Rosner B, Hunter D, Colditz G . Dietary patterns and the risk of postmenopausal breast cancer. Int J Cancer. 2005; 116(1):116-21. DOI: 10.1002/ijc.20999. View

Osler M, Heitmann B, Hoidrup S, Jorgensen L, Schroll M . Food intake patterns, self rated health and mortality in Danish men and women. A prospective observational study. J Epidemiol Community Health. 2001; 55(6):399-403. PMC: 1731916. DOI: 10.1136/jech.55.6.399. View

10.

Locher J, Ritchie C, Roth D, Sen B, Vickers K, Vailas L . Food choice among homebound older adults: motivations and perceived barriers. J Nutr Health Aging. 2009; 13(8):659-64. PMC: 2749957. DOI: 10.1007/s12603-009-0194-7. View

11.

Nettleton J, Polak J, Tracy R, Burke G, Jacobs Jr D . Dietary patterns and incident cardiovascular disease in the Multi-Ethnic Study of Atherosclerosis. Am J Clin Nutr. 2009; 90(3):647-54. PMC: 2728647. DOI: 10.3945/ajcn.2009.27597. View

12.

Heidemann C, Schulze M, Franco O, van Dam R, Mantzoros C, Hu F . Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation. 2008; 118(3):230-7. PMC: 2748772. DOI: 10.1161/CIRCULATIONAHA.108.771881. View

13.

Bobak M, Pikhart H, Rose R, Hertzman C, Marmot M . Socioeconomic factors, material inequalities, and perceived control in self-rated health: cross-sectional data from seven post-communist countries. Soc Sci Med. 2000; 51(9):1343-50. DOI: 10.1016/s0277-9536(00)00096-4. View

14.

Barcelo M, Saez M, de Tuero G . Individual socioeconomic factors conditioning cardiovascular disease risk. Am J Hypertens. 2009; 22(10):1085-95. DOI: 10.1038/ajh.2009.146. View

15.

Vaicaitiene R, Luksiene D, Paunksnis A, Cerniauskiene L, Domarkiene S, Cimbalas A . Age-related maculopathy and consumption of fresh vegetables and fruits in urban elderly. Medicina (Kaunas). 2004; 39(12):1231-6. View

16.

Schulze M, Hoffmann K . Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr. 2006; 95(5):860-9. DOI: 10.1079/bjn20061731. View

17.

Nettleton J, Schulze M, Jiang R, Jenny N, Burke G, Jacobs Jr D . A priori-defined dietary patterns and markers of cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Clin Nutr. 2008; 88(1):185-94. PMC: 2504029. DOI: 10.1093/ajcn/88.1.185. View

18.

Park S, Murphy S, Wilkens L, Yamamoto J, Sharma S, Hankin J . Dietary patterns using the Food Guide Pyramid groups are associated with sociodemographic and lifestyle factors: the multiethnic cohort study. J Nutr. 2005; 135(4):843-9. DOI: 10.1093/jn/135.4.843. View

19.

Yannakoulia M, Panagiotakos D, Pitsavos C, Skoumas Y, Stafanadis C . Eating patterns may mediate the association between marital status, body mass index, and blood cholesterol levels in apparently healthy men and women from the ATTICA study. Soc Sci Med. 2008; 66(11):2230-9. DOI: 10.1016/j.socscimed.2008.01.051. View

20.

Brunner E, Mosdol A, Witte D, Martikainen P, Stafford M, Shipley M . Dietary patterns and 15-y risks of major coronary events, diabetes, and mortality. Am J Clin Nutr. 2008; 87(5):1414-21. DOI: 10.1093/ajcn/87.5.1414. View