medigraphic.com

2018, Number 1

<< Back Next >>

Cir Cir 2018; 86 (1)

NutriNet-Salud México. Prospective study online: 2018-2028. Relationship between nutrition and health and determinants of dietary habits and nutritional status

Barriguete-Meléndez JA, Hercberg S, Galán P, Parodi A, Baulieux J

Language: Spanish
References: 26
Page: 8-19
PDF size: 349.56 Kb.


ABSTRACT

Background: NutriNet-Salud Mexico is a digital health information system, e-epidemiology instrument, online, open and free, to recording and analysis the determinants of dietary habits and nutritional status of the Mexican population, for the prevention of overweight, obesity and noncommunicable diseases for the period 2018-2028. Objective: Describe the design, development and implementation of NutriNet-Salud Mexico from the French model NutriNet-Santé France 2008-2018. Method: NutriNet-Salud Mexico platform is the basis for the development of health information system for prospective cohort study, scheduled for a period of 10 years (2018-2028), with a dedicated website, and its development will enable to have multiple study populations within an initial set of five self-applicable questionnaires validated in Mexican population. Results: The information will enable to develop applied research, learn and monitor food contributions and nutritional status of the population, assess the impact of public health actions on feeding behavior and nutritional status, comparing populations between countries (Mexico, France, Belgium and Switzerland) and national institutes, universities and states. Conclusions: NutriNet-Salud Mexico will provide information for assist in research and public action, especially to guide public policies on nutrition Mexico. The scientific elements will make appropriate nutritional recommendations to different populations and access to a representative nominal population sample with low-cost, in real-time, and with dual approach to e-epidemiology: cohort study to identify causality and cross-sectional studies (descriptive research, monitoring and evaluation).


REFERENCES

  1. World Health Organization. Noncommunicable diseases country profiles 2014. New York: WHO; 2014.

  2. Olaíz G, Rivera Dommarco JA, Shamah T, Roja R, Villalpando S, Hernández Ávila M. Encuesta Nacional de Salud 2012. Cuernavaca, México: Instituto Nacional de Salud Pública; 2012.

  3. García-García E, De la Llata Romero M, Kaufer-Horwitz M, Tusié-Luna MT, Calzada-León R, Vazquéz-Velázquez V, et al. La obesidad y el síndrome metabólico. Un reto para los Institutos Nacionales de Salud. Rev Invest Clin. 2009;61:333-46.

  4. Álvarez del Río F, Gutiérrez-Delgado C, Guajardo-Barrón V. Costo de la obesidad: las fallas del mercado y las políticas públicas de prevención y control de la obesidad. En: Rivera Dommarco JA, Hernández Ávila M, Aguilar Salinas CA, Vadillo Ortega F, Murayama Rendón C, editores. Obesidad en México: recomendaciones para una política de Estado. México: UNAM; 2012. p. 279-88.

  5. Ford ES, Bergmann MM, Kroger J, Schienkiewitz A, Weikert C, Boeing H. Healthy living is the best revenge: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. Arch Intern Med. 2009;169:1355-62.

  6. Deglaire A, Méjean C, Castetbon K, Kesse-Guyot E, Hercberg S, Schlich P. Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (The NutriNet-Santé study). Eur J Clin Nutr. 2015;69:40-6.

  7. Camilleri GM, Méjean C, Bellisle F, Andreeva VA, Sautron V, Hercberg S, et al. Cross-cultural validity of the Intuitive Eating Scale-2. Psychometric evaluation in a sample of the general French population. Appetite. 2015;84:34-42.

  8. Szabo de Edelenyi F, Julia C, Courtois F, Méjean C, Péneau S, Galan P, et al. Starchy food consumption in French adults: a cross-sectional analysis of the profile of consumers and contribution to nutritional intake in a web-based prospective cohort. Ann Nutr Metab. 2014;64:28-37.

  9. Méjean C, Szabo de Edelenyi F, Touvier M, Kesse-Guyot E, Julia C, Andreeva VA, et al. Motives for participating in a web-based nutrition cohort according to sociodemographic, lifestyle, and health characteristics: the NutriNet-Santé cohort study. J Med Internet Res. 2014;16:e189.

  10. Estrategia Nacional para la Prevención y el Control del Sobrepeso, la Obesidad y la Diabetes. México: Secretaría de Salud; 2013.

  11. Hercberg S, Castetbon K, Czernichow S, Malon A, Mejean C, Kesse E, et al. The NutriNet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status. BMC Public Health. 2010;10:242.

  12. Touvier M, Kesse-Guyot E, Méjean C, Pollet C, Malon A, Castetbon K, et al. Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large epidemiological studies. Br J Nutr. 2011;105:1055-64.

  13. Hercberg S, Castetbon K, Czernichow S, Malon A, Mejean C, Kesse E, et al. The NutriNet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status. BMC Public Health, 2010;10:242-6.

  14. Deglaire A, Méjean C, Castetbon K, Kesse-Guyot E, Hercberg S, Schlich P. Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (The NutriNet-Santé study). Eur J Clin Nutr. 2015;69:40-6.

  15. Lassale C, Péneau S, Touvier M, Julia C, Galan P, Hercberg S, et al. Validity of web-based self-reported weight and height: results of the Nutrinet-Santé study. J Med Internet Res. 2013;15:e152.

  16. Medina C, Barquera, S, Janssen I. Validity and reliability of the International Physical Activity Questionnaire among adults in Mexico. Rev Panam Salud Publica. 2013;34:21-8.

  17. Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc. 2004;104(4):595-603.

  18. Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando-Hernández S, Franco A, Cuevas-Nasu L, et al. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública; 2012.

  19. U S. Department of Agriculture, Agricultural Research Service, USDA Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 24. USDA; 2011.

  20. Ledesma JA, Chávez VA, Pérez-Gil RF, Mendoza ME, Calvo CC. Composición de alimentos. 2.ª ed. México: McGraw Hill; 2010.

  21. Pérez-Lizaur AB, Palacios-González B, Castro AL, Flores Galicia I. Sistema mexicano de alimentos equivalentes. 4.ª ed. México: Fomento de Nutrición y Salud; 2014.

  22. Vizmanos-Lamotte B, López-Uriarte P, Hunot-Alexander C, Bernal-Orozco MF, Rodríguez-Rocha NP, Macedo-Ojeda G, et al. Álbum fotográfico de alimentos mexicanos. Guadalajara, Jal. Ediciones de la Noche; 2015.

  23. Bernal-Orozco MF, Vizmanos-Lamotte B, Rodríguez-Rocha NP, Macedo-Ojeda G, Orozco-Valerio M, Rovillé-Sausse F, et al. Validation of a Mexican food photograph album as a tool to visually estimate food amounts in adolescents. Br J Nutr. 2013;109:944-52.

  24. Hercbeg S, Deheeger M, Preziosi P. Portions alimentaires: manuel photos pour l’estimation des quantités. 3ème ed. Paris: SU.VI.MAZ-Candia/ Polytechnica; 2002.

  25. MySQL Editions. Disponible en: https://www.mysql.fr/products

  26. Instituto Nacional de Geografía y Estadística. México; 2012. Disponible en: http://www.inegi.gob.mx/est/contenidos/espanol/temas/Sociodem/ notatinf212.asp 26. Arvizu Martínez O, Polo Oteyza E, Shamah Levy T. Qué y cómo comemos los mexicanos. Consumo de alimentos en la población urbana. Instituto Nacional de Salud Pública. Fundación Mexicana para la Salud/ Fondo Nestlé para la Alimentación. México: Grafia Editores; 2015.




2020     |     www.medigraphic.com