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Dietary patterns and their association with obesity and sociodemographic factors in a national sample of Lebanese adults

  • Farah Naja (a1), Lara Nasreddine (a1), Leila Itani (a1), Marie Claire Chamieh (a1), Nada Adra (a1), Abla Mehio Sibai (a2) and Nahla Hwalla (a1)...
Abstract
AbstractObjective

To identify and characterize dietary patterns in Lebanon and assess their association with sociodemographic factors, BMI and waist circumference (WC).

Design

A cross-sectional population-based survey. In a face-to-face interview, participants completed a brief sociodemographic and semiquantitative FFQ. In addition, anthropometric measurements were obtained following standard techniques. Dietary patterns were identified by factor analysis. Multivariate linear regression was used to assess determinants of the various patterns and their association with BMI and WC.

Setting

National Nutrition and Non-Communicable Disease Risk Factor Survey (2009), Lebanon.

Subjects

A nationally representative sample of 2048 Lebanese adults aged 20–55 years.

Results

Four dietary patterns were identified: ‘Western’, ‘Traditional Lebanese’, ‘Prudent’ and ‘Fish and alcohol’. Factor scores of the identified patterns increased with age, except for the Western pattern in which a negative association was noted. Women had higher scores for the prudent pattern. Adults with higher levels of education had significantly higher scores for the prudent pattern. The frequency of breakfast consumption was significantly associated with scores of both traditional Lebanese and prudent patterns. Multivariate-adjusted analysis revealed a positive association between scores of the Western pattern and the BMI and WC of study participants.

Conclusions

The findings show the presence of four distinct dietary patterns in the Lebanese population, which were associated with age, sex, education and meal pattern. Only the Western pattern was associated with higher BMI.

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Corresponding author
*Corresponding author: Email nahla@aub.edu.lb
Footnotes
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F. Naja and L. Nasreddine contributed equally to this manuscript.

All authors are members of the Public Health and Nutrition Research Group at the American University of Beirut, Lebanon.

Footnotes
References
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1. Yach D, Hawkes C, Gould CL et al. (2004) The global burden of chronic diseases: overcoming impediments to prevention and control. JAMA 291, 26162622.
2. Boeing H, Wahrendorf J & Becker N (1999) EPIC-Germany: a source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition. Ann Nutr Metab 43, 195204.
3. Hu FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.
4. Hu FB, Rimm E, Smith-Warner SA et al. (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69, 243249.
5. Hu FB, Rimm EB, Stampfer MJ et al. (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72, 912921.
6. Jacques PF & Tucker KL (2001) Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 73, 12.
7. Slattery ML (2008) Defining dietary consumption: is the sum greater than its parts? Am J Clin Nutr 88, 1415.
8. Fung TT, Willett WC, Stampfer MJ et al. (2001) Dietary patterns and the risk of coronary heart disease in women. Arch Intern Med 161, 18571862.
9. Fung TT, Stampfer MJ, Manson JE et al. (2004) Prospective study of major dietary patterns and stroke risk in women. Stroke 35, 20142019.
10. Lutsey PL, Steffen LM & Stevens J (2008) Dietary intake and the development of the metabolic syndrome: the Atherosclerosis Risk in Communities Study. Circulation 117, 754761.
11. Newby PK, Muller D, Hallfrisch J et al. (2004) Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr 80, 504513.
12. Handa K & Kreiger N (2002) Diet patterns and the risk of renal cell carcinoma. Public Health Nutr 5, 757767.
13. Kant AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104, 615635.
14. Williams DE, Prevost AT, Whichelow MJ et al. (2000) A cross-sectional study of dietary patterns with glucose intolerance and other features of the metabolic syndrome. Br J Nutr 83, 257266.
15. Panagiotakos DB, Pitsavos C, Skoumas Y et al. (2007) The association between food patterns and the metabolic syndrome using principal components analysis: The ATTICA Study. J Am Diet Assoc 107, 979987.
16. Van Dam RM, Rimm EB, Willett WC et al. (2002) Dietary patterns and risk for type 2 diabetes mellitus in US men. Ann Intern Med 136, 201209.
17. Fung TT, Willett WC, Stampfer MJ et al. (2001) Dietary patterns and the risk of coronary heart disease in women. Arch Intern Med 161, 18571862.
18. Jacques PF & Tucker KL (2001) Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 73, 12.
19. Nishida C, Uauy R, Kumanyika S et al. (2004) The joint WHO/FAO expert consultation on diet, nutrition and the prevention of chronic diseases: process, product and policy implications. Public Health Nutr 7, 245250.
20. de Oliveira MC, Sichieri R & Venturim Mozzer R (2008) A low-energy-dense diet adding fruit reduces weight and energy intake in women. Appetite 51, 291295.
21. Ello-Martin JA, Roe LS, Ledikwe JH et al. (2007) Dietary energy density in the treatment of obesity: a year-long trial comparing 2 weight-loss diets. Am J Clin Nutr 85, 4651477.
22. Central Administration of Statistics (2004) The National Survey of Household Living Conditions. Beirut: CAS.
23. IPAQ Research Committee (2005) Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ) – Short and Long Forms.
24. Michels KB & Schulze MB (2005) Can dietary patterns help us detect diet-disease associations? Nutr Res Rev 18, 241248.
25. Kerver JM, Yang EJ, Bianchi L et al. (2003) Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults. Am J Clin Nutr 78, 11031110.
26. Paradis AM, Godin G, Perusse L et al. (2009) Associations between dietary patterns and obesity phenotypes. Int J Obes (Lond) 33, 14191426.
27. Terry P, Hu FB, Hansen H et al. (2001) Prospective study of major dietary patterns and colorectal cancer risk in women. Am J Epidemiol 154, 11431149.
28. Paradis AM, Perusse L & Vohl MC (2006) Dietary patterns and associated lifestyles in individuals with and without familial history of obesity: a cross-sectional study. Int J Behav Nutr Phys Act 3, 38.
29. Tucker KL (2010) Dietary patterns, approaches, and multicultural perspective. Appl Physiol Nutr Metab 35, 211218.
30. Newby PK, Muller D & Tucker KL (2004) Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr 80, 759767.
31. Maskarinec G, Novotny R & Tasaki K (2000) Dietary patterns are associated with body mass index in multiethnic women. J Nutr 130, 30683072.
32. Yang EJ, Kerver JM & Song WO (2005) Dietary patterns of Korean Americans described by factor analysis. J Am Coll Nutr 2, 115121.
33. Esmaillzadeh A & Azadbakht L (2008) Food intake patterns may explain the high prevalence of cardiovascular risk factors among Iranian women. J Nutr 138, 14691475.
34. Esmaillzadeh A & Azadbakht L (2008) Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr 138, 358363.
35. Slattery ML (2010) Analysis of dietary patterns in epidemiological research. Appl Physiol Nutr Metab 35, 207210.
36. Rezazadeh A, Rashidkhani B & Omidvar N (2010) Association of major dietary patterns with socioeconomic and lifestyle factors of adult women living in Tehran, Iran. Nutrition 26, 337341.
37. Park SY, Murphy SP, Wilkens LR 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, 843849.
38. Sanchez-Villegas A, Delgado-Rodriguez M, Martinez-Gonzalez MA et al. (2003) Gender, age, socio-demographic and lifestyle factors associated with major dietary patterns in the Spanish Project SUN (Seguimiento Universidad de Navarra). Eur J Clin Nutr 57, 285292.
39. Fung TT, Schulze M, Manson JE et al. (2004) Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med 164, 22352240.
40. Villegas R, Salim A, Collins MM et al. (2004) Dietary patterns in middle-aged Irish men and women defined by cluster analysis. Public Health Nutr 7, 10171024.
41. Winkvist A, Hornell A, Hallmans G et al. (2009) More distinct food intake patterns among women than men in northern Sweden: a population-based survey. Nutr J 19, 812.
42. Randall E, Marshall JR, Graham S et al. (1991) High-risk health behaviors associated with various dietary patterns. Nutr Cancer 16, 135151.
43. Perrin AE, Dallongeville J, Ducimetiere P et al. (2005) Interactions between traditional regional determinants and socio-economic status on dietary patterns in a sample of French men. Br J Nutr 93, 109114.
44. Veltsista A, Laitinen J, Sovio U et al. (2010) Relationship between eating behavior, breakfast consumption, and obesity among Finnish and Greek adolescents. J Nut Educ Behav 42, 417421.
45. Kent LM & Worsley A (2010) Breakfast size is related to body mass index for men, but not women. Nutr Res 30, 240245.
46. Szajewska H & Ruszczynski M (2010) Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Crit Rev Food Sci Nutr 50, 113119.
47. Kourlaba G, Panagiotakos DB, Mihas K et al. (2009) Dietary patterns in relation to socio-economic and lifestyle characteristics among Greek adolescents: a multivariate analysis. Public Health Nutr 12, 13661372.
48. Vereecken CA & Maes L (2006) Television viewing and food consumption in Flemish adolescents in Belgium. Soz Praventivmed 51, 311317.
49. Harris JL & Bargh JA (2009) Television viewing and unhealthy diet: implications for children and media interventions. Health Commun 24, 660673.
50. Custers K & Van den Bulck J (2010) Television viewing, computer game play and book reading during meals are predictors of meal skipping in a cross-sectional sample of 12-, 14- and 16-year-olds. Public Health Nutr 13, 537543.
51. Zimmerman FJ & Bell JF (2010) Associations of television content type and obesity in children. Am J Public Health 100, 334340.
52. Langsetmo L, Poliquin S, Hanley DA et al. (2010) Dietary patterns in Canadian men and women ages 25 and older: relationship to demographics, body mass index, and bone mineral density. BMC Musculoskelet Disord 11, 20.
53. Esmaillzadeh A, Kimiagar M, Mehrabi Y et al. (2007) Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women. Am J Clin Nutr 85, 910918.
54. Cunha DB, de Almeida RM, Sichieri R et al. (2010) Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. Br J Nutr 27, 16.
55. Willett W (1998) Nutrition Epidemiology, 2nd ed. New York: Oxford University Press.
56. Khani BR, Ye W, Terry P et al. (2004) Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr 134, 15411545.
57. Caan BJ, Lanza E, Schatzkin A et al. (1999) Does nutritionist review of a self-administered food frequency questionnaire improve data quality? Public Health Nutr 2, 565569.
58. Martinez ME, Marshall JR & Sechrest L (1998) Invited commentary: factor analysis and the search for objectivity. Am J Epidemiol 148, 1719.
59. Schulze MB, Hoffmann K, Kroke A et al. (2001) Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. Br J Nutr 85, 363373.
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