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.
Similar content being viewed by others
References
Akbaraly TN, Brunner EJ (2008) Socio-demographic influences on trends of fish consumption during later adult life in the Whitehall II study. Br J Nutr 100:1116–1127
Barcelo MA, Saez M, de Tuero GC (2009) Individual socioeconomic factors conditioning cardiovascular disease risk. Am J Hypertens. doi:101038/ajh.2009.146
Bobak M, Pikhart H, Rose R, Hertzman C, Marmot M (2000) Socioeconomic factors, material inequalities and perceived control in self-rated health: cross-sectional data from seven post-communist countries. Soc Sci Med 51:1343–1350
Brunner EJ, Mosdøl A, Witte DR, Martikainen P, Stafford M, Shipley MJ, Marmot MG (2008) Dietary patterns and 15-y risks of major coronary events, diabetes, and mortality. Am J Clin Nutr 87:1414–1421
Elfhag K, Rasmussen F (2008) Food consumption, eating behaviour and self-esteem among single v. married and cohabiting mothers and their 12-year-old children. Public Health Nutr 11:934–939
Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ (1999) Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods 4:272–299
Field A (2005) Discovering statistics using SPSS, 2nd edn. Sage publications, London
Fraser GE, Welch A, Luben R, Bingham SA, Day NE (2000) The effect of age, sex, and education on food consumption of a middle-aged English cohort-EPIC in East Anglia. Prev Med 30:26–34
Fung TT, Hu FB, Holmes MD, Rosner BA, Hunter DJ, Colditz GA, Willett WC (2005) Dietary patterns and the risk of postmenopausal breast cancer. Int J Cancer 116:116–121
Grabauskas V, Petkeviciene J, Kriaucioniene V, Klumbiene J (2004) Health inequalities in Lithuania: education and nutrition habits. Medicina (Kaunas) 40:875–883
Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB (2008) Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation 118:230–237
Hosmer DW, Lemeshow S (1989) Applied logistic regression. Willey, New York
Hu FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13:3–9
Isharwal S, Misra A, Wasir JS, Nigam P (2009) Diet and insulin resistance: a review and Asian Indian perspective. Indian J Med Res 129:485–499
Kadziauskiene K, Bartkeviciute R, Olechnovic M, Viseckiene V, Abaravicius A, Stukas R, Robertson A (1999) Health behaviour and nutrition status of Lithuanian population 1997–1998. National Nutrition Centre of Ministry of Health, Vilnius
Kant AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104:615–635
Kelleher CC, Friel S, Nic Gabhainn S, Tay JB (2003) Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN. Soc Sci Med 57:477–486
Kriaucioniene V, Petkeviciene J, Klumbiene J (2008) Dietary patterns and their association with sociodemographic factors in Lithuanian adult population. Medicina (Kaunas) 44:799–804
Leathwood PD, Richardsonp R, Strater P, Todd PM, Trijp HCM (2007) Consumer understanding of nutrition and health claims: sources of evidence. Br J Nutr 98:474–484
Locher JL, Ritchie CS, Roth DL, Sen B, Vickers KS, Vailas LI (2009) Food choice among homebound older adults: motivations and perceived barriers. J Nutr Health Aging 13:659–664
Luksiene D, Margeviciene L, Cerniauskiene LR (2002) An influence of nutrition habits on lipids concentration in blood serum of elderly. Lithuanian J Cardiol 9:103–109
Naska A, Fouskakis D, Oikonomou E, Almeida MDV, Berg MA, Gedrich K et al (2006) Dietary patterns and their socio-demographic determinants in 10 European countries: data from the DAFNE databank. Eur J Clin Nutr 60:181–190
Nettleton JA, Schulze MB, Jiang R, Jenny NS, Burke GL, Jacobs DR Jr (2008) A priori-defined dietary patterns and markers of cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Clin Nutr 88:185–194
Nettleton JA, Polak JF, Tracy R, Burke GL, Jacobs DR Jr (2009) Dietary patterns and incident cardiovascular disease in the Multi-Ethnic Study of Atherosclerosis. Am J Clin Nutr 90:647–654
Osler M, Heitmann BL, Høidrup S, Jørgensen LM, Schroll M (2001) Food intake patterns, self-rated health and mortality in Danish men and women. A prospective observational study. J Epidemiol Community Health 55:399–403
Panagiotakos D, Pitsavos C, Chrysohoou C, Palliou K, Lentzas I, Skoumas I, Stefanadis C (2009) Dietary patterns and 5-year incidence of cardiovascular disease: a multivariate analysis of the ATTICA study. Nutr Metab Cardiovasc Dis 19:253–263
Park SY, Murphy SP, Wilkens LR, Yamamoto JF, Sharma S, Hankin JH et al (2005) Dietary patterns using the Food Guide Pyramid groups are associated with sociodemographic and lifestyle factors: the multiethnic cohort study. J Nutr 135:843–849
Pieniak Z, Verbeke W, Vanhonacker F, Guerrero L, Hersleth M (2009) Association between traditional food consumption and motives for food choice in six European countries. Appetite 53:101–108
Pomerleau J, McKee M, Robertson A, Kadziauskiene K, Abaravicius A, Bartkeviciute R et al (2001a) Dietary beliefs in the Baltic republics. Public Health Nutr 4:217–225
Pomerleau J, McKee M, Robertson A, Kadzijauskiene K, Abaravičius A, Vaask A (2001b) Macronutrient and food intake in the Baltic republics. EJCN 55:200–207
Riediger ND, Moghadasian MH (2008) Patterns of fruit and vegetable consumption and the influence of sex, age and socio-demographic factors among Canadian elderly. J Am Coll Nutr 27:306–313
Schulze MB, Hoffmann K (2006) Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr 95:860–869
Vaicaitiene R, Luksiene DK, Paunksnis A, Cerniauskiene LR, Domarkiene S, Cimbalas A (2003) Age-related maculopathy and consumption of fresh vegetables and fruits in urban elderly. Medicina (Kaunas) 39:1231–1236
Yannakoulia M, Panagiotakos D, Pitsavos C, Skoumas Y, Stafanadis C (2008) 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 66:2230–2239
Acknowledgments
The HAPIEE study was funded by grants from the Wellcome Trust (grant no. 064947/Z/01/Z), the US National Institute on Aging (grant no. IR0I AG23522-01) and the MacArthur Foundation (Health and Social Upheaval network).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Luksiene, D.I., Baceviciene, M., Tamosiunas, A. et al. 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. Int J Public Health 56, 209–216 (2011). https://doi.org/10.1007/s00038-010-0170-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00038-010-0170-3