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Nutritional profile and obesity: results from a random-sample population-based study in Córdoba, Argentina

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Abstract

Introduction

Obesity is a chronic, heterogeneous, multifactorial disease, which has sharply increased in prevalence in both developed and developing countries. This study aimed to estimate the prevalence of obesity and to identify socio-demographic risk factors associated with it, with special emphasis on diet.

Methods

Nutritional status, demographic characteristics, lifestyle habits, and food consumption patterns derived from a Food Frequency Questionnaire were investigated. Exhaustive exploratory analyses were performed in order to describe dietary patterns, and logistic regression models were used for odds ratio estimation.

Results

The study included 4328 subjects, over 18 years old and resident in Cordoba city. The prevalence of overweight and obesity was 34 and 17 %, respectively, with 60 % in men and 45 % in women of BMI ≥ 25. Obesity risk factors were high intake of sodium, refined grains, starchy vegetables, and snacks. A lower risk of overweight and obesity was associated with an adequate, moderate intake of meats, eggs, alcoholic beverages, sugar and sweets, milk, yogurt, and pulses.

Conclusions

A high intake of snacks, refined grains, starchy vegetables and sodium and low intake of yogurt, milk, pulses, and whole grains seem to be associated with the emergence and high prevalence of obesity in Cordoba, Argentina.

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Abbreviations

OR:

Odds ratio

METs:

Metabolic equivalent of tasks

FFQ:

Food Frequency Questionnaire

LR:

Logistic regression

BMI:

Body Mass Index

IL:

Instruction level

SES:

Socio-economic status

References

  1. De Girolami DH (1999) Definición y medios diagnóstico. In: Braguinsky J (ed) Obesidad, 2nd edn. El Ateneo, Bs As, pp 15–39

    Google Scholar 

  2. Martí A, Razquin C, Martíne JA (2006) Papel de las interacciones genes-nutrientes en el desarrollo de obesidad. Rev Esp Obes 4:86–96

    Google Scholar 

  3. Drewnowski A (2000) Nutrition transition and global dietary trends. Nutrition 16:486–487

    Article  CAS  Google Scholar 

  4. Pan American Health Organization. Obesity and poverty: a new public health challenge (Scientific Publication No. 576) Washington, D.C. PAHO, pp 124

  5. Popkin BM, Gordon-Larsen P (2004) The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord 28:S2–S9

    Article  Google Scholar 

  6. Hill JO, Wyatt HR, Reed GW, Peters JC (2003) Obesity and the environment: Where do we go from here? Science 299:853–855

    Article  CAS  Google Scholar 

  7. World Health Organization (2009) Global health risks: mortality and burden of disease attributable to selected major risks. http://who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf. Accessed 26 June 2013

  8. Finucane MM, Stevens GA, Cowan MJ et al (2011) National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet 377:557–567. doi:10.1016/s0140-6736(10)62037-5

    Article  Google Scholar 

  9. Aballay LR, Osella AR, Celi A, Diaz MP (2009) Overweight and obesity: prevalence and their association with some social characteristics in a random sample population-based study in Cordoba city, Argentina. Obes Res Clin Pract 3:75–83. doi:10.1016/j.orcp.2009.01.001

    Article  Google Scholar 

  10. Pou SA, Díaz MD, Osella AR (2012) Applying multilevel model to the relationship of dietary patterns and colorectal cancer: an ongoing case–control study in Córdoba, Argentina. Eur J Nutr 51:755–764. doi:10.1007/s00394-011-0255-7

    Article  CAS  Google Scholar 

  11. Pou SA, Niclis C, Aballay LR, Tumas N, Román MD, Becaría Coquet J, Muñoz SE, Diaz MP (2014) Cáncer y su asociación con patrones alimentarios en Córdoba, Argentina. Nutr Hosp 29:618–628

    Google Scholar 

  12. Filozof C, Gonzalez C, Sereday M et al (2001) Obesity prevalence and trends in Latin American countries. Obes Rev 2:99–106

    Article  CAS  Google Scholar 

  13. Navarro A, Osella AR, Guerra V, Muñoz SE, Lantieri MJ, Eynard AR (2001) Reproducibility and validity of a Food-Frequency Questionnaire in assessing dietary intakes and food habits in epidemiological cancer studies in Argentina. J Exp Clin Cancer Res 20:365–370

    CAS  Google Scholar 

  14. Navarro A, Cristaldo PE, Díaz MP, Eynard AR (2000) Atlas fotográfico para cuantificar el consumo de alimentos y nutrientes en estudios nutricionales epidemiológicos en Córdoba, Argentina. Rev Fac Cienc Méd Córdoba 57:67–74

    CAS  Google Scholar 

  15. Peyrano MG, Gigena JC, Muñoz SE et al (1998) A computer software for the analysis of dietary data in cancer epidemiological research. In: Moraes M, Brentani R, Bevilacqua R (eds) International proceeding division. Monduzzi Editore, Bologna, pp 381–384

    Google Scholar 

  16. Internacional Physical Activity Questionnaire (IPAQ) (2005). http://www.ipaq.ki.se/ipaq.htm. Accessed 21 May 2013

  17. Asociación Argentina de Marketing, Cámara de Control y Medición de Audiencias (2003) Índice del nivel socioeconómico 2002. http://www.iprofesional.cpm/adjuntos/documentos/18/0001836.pdf. Accessed 12 July 2014

  18. National Academy of Sciences, Institute of Medicine, Food and Nutrition Board (2004) Dietary reference intakes (DRIs): macronutrients. National Academy of Sciences, Institute of Medicine, Food and Nutrition Board, Washington, DC

    Google Scholar 

  19. National Academy of Sciences, Institute of Medicine, Food and Nutrition Board (2004) Dietary reference intakes (DRIs): tolerable upper intake levels. National Academy of Sciences, Institute of Medicine, Food and Nutrition Board, Washington, DC

    Google Scholar 

  20. Stata Statistical Software, versión 12. StataCorp LP (2011) College Station, TX 77845, USA

  21. Braguinsky J, Sereday M, Cobeñas C et al (1998) Unexpected prevalence of obesity and associated metabolic risk factors in a medium size city (Venado Tuerto) of Argentina. Int J Obes 22:215s

    Article  Google Scholar 

  22. De Loredo L, Luquez H, Madoery R et al (1997) Hypertension prevalence in the Dean Funes Communitary Study. Hypertension 29:846

    Google Scholar 

  23. Ministerio de Salud, Presidencia de la Nación (2009). Encuesta Nacional de Nutrición y Salud. http://www.msal.gov.ar/htm/site/ennys/pdf/documento_resultados_2007.pdf. Accessed 11 July 2013

  24. Ministerio de Salud, Presidencia de la Nación (2011). Segunda Encuesta Nacional de Factores de Riesgo para Enfermedades No Transmisibles. http://www.msal.gov.ar/ent/images/stories/vigilancia/pdf/fr_encuesta-nacional-factores-riesgo-2011.pdf. Accessed 11 July 2013

  25. World Health Organization (WHO) (2013) The WHO Global InfoBase. https://apps.who.int/infobase/. Accessed 2 Aug 2014

  26. World Health Organization (WHO) (2010) The Global Health Observatory program. http://www.who.int/gho/en/. Accessed 29 Aug 2013

  27. Organización Panamericana de la Salud (OPS) (2003) Régimen alimentario, nutrición y actividad física. 132a. Sesión del Comite Ejecutivo. Washigton, pp 23–27

  28. Aranceta J, Pérez Rodrigo C, Serra Majem L, Ribas Barba L, Quiles Izquierdo J, Vioque J (2003) Prevalencia de la obesidad en España: resultados del estudio SEEDO 2000. Med Clin (Barc) 120:608–612

    Article  Google Scholar 

  29. Sánchez Villegas A, Martínez González MA, Toledo E, De Iral EstévezJ, Martínez JA (2002) Influencia del sedentarismo y el hábito de comer entre horas sobre la ganancia de peso. Med Clin (Barc) 119:46–52

    Article  Google Scholar 

  30. Lino MZ, Muniz PT, Siqueira KS (2011) Prevalence of overweight and associated factors in adults: a population survey in Rio Branco, Acre State, Brazil, 2007–2008. Cad. Saúde Pública 27:797–810

    Article  Google Scholar 

  31. Arsenault BJ, Rana JS, Lemieux I, Després JP, Kastelein JJ, Boekholdt SM, Wareham NJ, Khaw KT (2010) Physical inactivity, abdominal obesity and risk of coronary heart disease in apparently healthy men and women. Int J Obes (Lond) 34:340–347. doi:10.1038/ijo.2009.229

    Article  CAS  Google Scholar 

  32. Choi B, Schnall PL, Yang H, Dobson M, Landsbergis P, Israel L, Karasek R, Baker D (2010) Sedentary work, low physical job demand, and obesity in US workers. Am J Ind Med 53:1088–1101. doi:10.1002/ajim.20886

    Article  Google Scholar 

  33. Varo Cenarruzabeitia JJ, Martínez Hernández JA, Martínez-González MA (2003) Beneficios de la actividad física y riesgos del sedentarismo. Med Clin (Barc) 121:665–672

    Article  Google Scholar 

  34. Berg C, Lappas G, Wolk A, Strandhagen E, Torén K, Rosengren A, Thelle D, Lissner L (2009) Eating patterns and portion size associated with obesity in a Swedish population. Appetite 52:21–26. doi:10.1016/j.appet.2008.07.008

    Article  Google Scholar 

  35. Jeon KJ, Lee O, Kim HK, Han SN (2011) Comparison of the dietary intake and clinical characteristics of obese and normal weight adults. Nutr Res Pract 5:329–336. doi:10.4162/nrp.2011.5.4.329

    Article  Google Scholar 

  36. Vadera BN, Yadav SB, Yadav BS, Parmar DV, Unadkat SV (2010) Study on obesity and Influence of dietary factors on the weight status of an adult population in Jamnagar city of Gujarat: a cross-sectional analytical study. Indian J Community Med 35:482–486. doi:10.4103/0970-0218.74346

    Article  Google Scholar 

  37. Singh R, Martin BR, Hickey Y, Teegarden D, Campbell WW, Craig BA, Schoeller DA, Kerr DA, Weaver CM (2009) Comparison of self-reported, measured, metabolizable energy intake with total energy expenditure in overweight teens. Am J Clin Nutr 89:1744–17450. doi:10.3945/ajcn.2008.26752

    Article  CAS  Google Scholar 

  38. Stubbs CO, Lee AJ (2004) The obesity epidemic: both energy intake and physical activity contribute. Med J Aust 181:489–491

    Google Scholar 

  39. Bray GA, Paeratakul S, Popkin BM (2004) Dietary fat and obesity: a review of animal, clinical and epidemiological studies. Physiol Behav 83:549–555

    Article  CAS  Google Scholar 

  40. Willett WC (2002) Dietary fat plays a major role in obesity: no. Obes Rev 3(2):59–68

    Article  CAS  Google Scholar 

  41. Kimokoti RW, Newby PK, Gona P, Zhu L, Jasuja GK, Pencina MJ, McKeon-O’Malley C, Fox CS, D’Agostino RB, Millen BE (2010) Diet quality, physical activity, smoking status, and weight fluctuation are associated with weight change in women and men. J Nutr 7:1287–1293. doi:10.3945/jn.109.120808

    Article  Google Scholar 

  42. Aller EE, Abete I, Astrup A, Martinez JA, Baak MAV (2011) Starches, sugars and obesity. Nutrients 3:341–369

    Article  CAS  Google Scholar 

  43. Murtaugh MA, Herrick JS, Sweeney C, Baumgartner KB, Giuliano AR, Byer T et al (2007) Diet composition and risk of overweight and obesity in women living in the southwestern United States. J Am Diet Assoc 107:1311–1321

    Article  CAS  Google Scholar 

  44. Organización de las Naciones Unidas (2011) Organización de las Naciones Unidas, Dirección de Estadística. http://faostat.fao.org/site/368/DesktopDefault.aspx?PageID=368#ancor. Accessed 18 Oct 2013

  45. Navarro A, Muñoz SE, Lantieri MJ, Fabro EA, Eynard AR (1997) Composition of saturated and unsaturated fatty acids of foods frequently consumed in Argentina. Arch Latinoam Nutr 47:276–281

    CAS  Google Scholar 

  46. Instituto de Promoción de la carne vacuna Argentina (2014) Informe de Faena y producción de carne vacuna 3° trimestre 2014. https://www.ipcva.com.ar/documentos/1348_1412870500_informedefaenayproduccin3trimestre2014.pdf. Accessed 20 Nov 2014

  47. Major GC, Chaput JP, Ledoux M et al (2008) Recent developments in calcium-related obesity research. Obes Rev 9:428–445. doi:10.1111/j.1467-789X.2007.00465.x

    Article  CAS  Google Scholar 

  48. Ness AR, Smith GD, Hart C (2001) Milk, coronary heart disease and mortality. J Epidemiol Community Health 55:379–382

    Article  CAS  Google Scholar 

  49. Belury MA (2002) Dietary conjugated linoleic acid in health: physiological effects and mechanisms of action. Annu Rev Nutr 22:505–531. doi:10.1146/annurev.nutr.22.021302.121842

    Article  CAS  Google Scholar 

  50. Layman DK (2002) Role of leucine in protein metabolism during exercise and recovery. Can J Appl Physiol 27:646–663

    Article  CAS  Google Scholar 

  51. Pereira MA, Jacobs DR Jr, Van Horn L, Slattery ML, Kartashov AI, Ludwig DS (2002) Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. JAMA 287:2081–2089

    Article  Google Scholar 

  52. Lourenco S, Olivera A, Lopes C (2012) The effect of current and life time alcohol consumption on overall and central obesity. Eur J Clin Nutr 66:813–818. doi:10.1038/ejcn.2012.20

    Article  CAS  Google Scholar 

  53. Bouche C, Rizkalla SW, Luo J, Vidal H, Veronese A, Pacher N et al (2002) Five-week, low-glycemic index diet decreases total fat mass and improves plasma lipid profile in moderately overweight nondiabetic men. Diabetes Care 25:822–828

    Article  CAS  Google Scholar 

  54. Lema S, Longo E, Lopresti A (2002) Guías Alimentarias: Manual de multiplicadores, 1ra edn. Asociación Argentina de Nutricionistas y Dietistas, Argentina, p 56

    Google Scholar 

  55. Soto D, Wittig E, Guerrero L, Garrido F, Fuenzalida R (2006) Alimentos funcionales: comportamiento del consumidor chileno. Rev Chil Nutr 33:43–54

    Article  Google Scholar 

  56. Brand Miller J, McMillan Price J, Steinbeck K, Caterson I (2009) Dietary glycemic index: health implications. J Am Coll Nutr 28:446–449

    Article  Google Scholar 

  57. Lin BH, Morrison RM (2002) Higher fruit consumption linked with lower body mass index. Food Rev 25:28–32

    Google Scholar 

  58. Ledikwe JH, Blanck HM, Kettel KL, Serdula MK, Seymour JD, Tohill BC et al (2006) Dietary energy density is associated with energy intake and weight status in US adults. Am J Clin Nutr 83:1362–1368

    CAS  Google Scholar 

  59. Groth MV, Fagt S, Stockmarr A, Matthiessen J, Biltoft-Jensen A (2009) Dimensions of socioeconomic position related to body mass index and obesity among Danish women and men. Scand J Public Health 37:418–426

    Article  CAS  Google Scholar 

  60. Nasreddine L, Hwalla N, Sibai A, Hamze M, Parent Massin D (2006) Food consumption patterns in an adult urban population in Beirut, Lebanon. Public Health Nutr 9:194–203

    Article  Google Scholar 

  61. Ribas-Barba L, Serra-Majem L, Salvador G, Castell C, Cabezas C, Salleras L et al (2007) Trends in dietary habits and food consumption in Catalonia, Spain (1992–2003). Public Health Nutr 10:1340–1353. doi:10.1017/s136898000700095X

    Article  Google Scholar 

  62. Malik VS, Schulze MB, Hu FB (2006) Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 84:274–288

    CAS  Google Scholar 

  63. Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, Mc Manus K, Champagne CM, Bishop LM, Laranjo N et al (2009) Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med 360:859–873. doi:10.1056/NEJMoa0804748

    Article  CAS  Google Scholar 

  64. Van Dam RM, Seidell JC (2007) Carbohydrate intake and obesity. Eur J Clin Nutr 61:75–99. doi:10.1038/sj.ejcn.1602939

    Article  Google Scholar 

  65. Bray GA (2008) Fructose—How worried should we be? Medscape J Med 10:159

    Google Scholar 

  66. Bray GA, Nielsen SJ, Popkin BM (2004) Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr 79:537–543

    CAS  Google Scholar 

  67. Bantle JP (2009) Dietary fructose and metabolic syndrome and diabetes. J Nutr 139:1263S–1268S. doi:10.3945/jn.108.098020

    Article  CAS  Google Scholar 

  68. Ghosh A, Bose K, Das Chaudhuri AB (2003) Association of food patterns, central obesity measures and metabolic risk factors for coronary heart disease (CHD) in middle aged Bengali Hindu men, Calcutta, India. Asia Pac J Clin Nutr 12:166–171

    Google Scholar 

  69. Ovaskainen ML, Reinivuo H, Tapanainen H, Hannila ML, Korhonen T, Pakkala H (2006) Snacks as an element of energy intake and food consumption. Eur J Clin Nutr 60:494–501. doi:10.1038/sj.ejcn.1602343

    Article  Google Scholar 

  70. Jackson P, Romo MM, Castillo MA, Castillo-Durán C (2004) Junk food consumption and child nutrition. Nutritional anthropological analysis. Rev Med Chil 132:1235–1242

    Article  Google Scholar 

  71. Blood AJ, Zatorre RJ (2001) Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proc Natl Acad Sci USA 98:11818–11823. doi:10.1073/pnas.191355898

    Article  CAS  Google Scholar 

  72. Drewnowski A, Specter S (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79:6–16

    CAS  Google Scholar 

  73. Rothman KJ, Greenland S, Lash TL (2008) Modern Epidemiology, 3rd edn. Lippincott Williams & Wilkins, USA

    Google Scholar 

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Acknowledgments

This research was partially supported by the National Science and Technology Agency (FONCyT) grants PICT 2008-1814 and PICT-O 2005-36035, and the Science and Technology Secretary of the University of Córdoba (SECyT-UNC) Grant 05/H207. Ana De La Quintana’s research was supported by fellowship provided by SECyT-UNC. The authors also would like to acknowledge the collaboration of all the participants in the sample.

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The authors declare that they have no conflicts of interest.

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Correspondence to María del Pilar Diaz.

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Aballay, L.R., Osella, A.R., De La Quintana, A.G. et al. Nutritional profile and obesity: results from a random-sample population-based study in Córdoba, Argentina. Eur J Nutr 55, 675–685 (2016). https://doi.org/10.1007/s00394-015-0887-0

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