Back to Annual Meeting Page		American Public Health Association 133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA

Abstract #116388

Juan Carlos Díaz-Montiel, Nutr MSc¹, Dayana Pineda-Pérez, Nutr¹, Marlenne Rodríguez-Salgado, Eng¹, Jyoti Mudgal, PhD², and Jorge Salmerón, MD MSc PhD². (1) Instituto Mexicano del Seguro Social, Cuernavaca, Morelos. México, Unidad de Investigación Epidemiológica y en Servicios de Salud., Av. Plan de Ayala esq. Calle Central s/n, Col. Chapultepec. CP 62450, Cuernavaca, Morelos. México, 62450, Mexico, (52) 7771001364, jcha_us@yahoo.com, (2) Unidad de Investigación Epidemiológica y de Servicios de Salud, Instituto Mexicano del Seguro Social, Avenida Plan de Ayala y esquina Calle Central s/n., Cuernavaca, Morelos, 62450, Mexico

Background. Recently it has been recognized that environmental factors play a fundamental role in the development of obesity. According to the Mexican National Survey of Health 2000 the prevalence of overweight and obesity has increased in recent years, now standing at 70% and 54.7% among women and men over 20 years of age respectively. Methods. This work proposes the creation of a 17 item index of eating behaviors (EBI) controlling for some important factors. 1105 subjects with a energy intake °Ü2000 kcal/d an mean age of 41.7 years involved in the project "Cohorte de Trabajadores IMSS" were asked to complete a self-reported questionnaire which assessed risk factors for chronic diseases and patterns of eating habits. Tertiles were derived from the EBI. A model of polytomous logistic regression was generated to find factors associated with weight changes in the last year and to estimate odds ratios and 95% confidence intervals. This model was adjusted by sex, age, energy intake, depression index, consumption of tobacco and alcohol, physical activity and inactivity, hypertension, dislipidemy, income and previous obesity. Results and Conclusion. The regular category of EBI is associated with the weight gain with a OR=1.37 (0.97-1.93) and 1.61 (1.15-2.26) for the bad EBI; whereas with the weight lost a OR=0.51 (0.32-0.81) and 0.76 (0.51-1.16) for the regular and bad EBI respectively, compared with the population with a good EBI. Future research would include testing the index among other population groups, since it can be a very important tool in nutritional epidemiology.

Learning Objectives: At the conclusion of the session, the participant (learner) in this session will be able to

• Recognize the eating behaviors as a predictor of weight vhanges.
• Evaluate the weight relative of eating behaviors in the obesity etiology.

Keywords: Nutrition, Obesity

Presenting author's disclosure statement:

I wish to disclose that I have NO financial interests or other relationship with the manufactures of commercial products, suppliers of commercial services or commercial supporters.

Recorded presentation