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Adapting the standardised computer- and interview-based 24 h dietary recall method (GloboDiet) for dietary monitoring in Latin America

  • Silvia Bel-Serrat (a1), Viktoria Knaze (a1), Genevieve Nicolas (a1), Dirce M Marchioni (a2), Josiane Steluti (a2), Aline Mendes (a2), Sandra P Crispim (a3), Regina M Fisberg (a2), Rosangela A Pereira (a4), Marina C Araujo (a5), Rosely Sichieri (a6), Edna M Yokoo (a7), Tania Sánchez-Pimienta (a8), Tania C Aburto (a8), Lilia S Pedraza (a8) and Nadia Slimani (a1)...

Abstract

Objective

The present study describes the procedure and approaches needed to adapt and harmonise the GloboDiet methodology, a computer- and interview-based 24 h dietary recall, for use in two Latin American pilot countries, Brazil and Mexico.

Design

About seventy common and country-specific databases on foods, recipes, dietary supplements, quantification methods and coefficients were customised and translated following standardised guidelines, starting from existing Spanish and Portuguese versions.

Setting

Brazil and Mexico.

Subjects

Not applicable.

Results

New subgroups were added into the existing common food classification together with new descriptors required to better classify and describe specific Brazilian and Mexican foods. Quantification methods were critically evaluated and adapted considering types and quantities of food consumed in these two countries, using data available from previous surveys. Furthermore, the photos to be used for quantification purposes were identified for compilation in country-specific but standardised picture booklets.

Conclusions

The completion of the customisation of the GloboDiet Latin America versions in these two pilot countries provides new insights into the adaptability of this dietary international tool to the Latin American context. The ultimate purpose is to enable dietary intake comparisons within and between Latin American countries, support building capacities and foster regional and international collaborations. The development of the GloboDiet methodology could represent a major benefit for Latin America in terms of standardised dietary methodologies for multiple surveillance, research and prevention purposes.

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Copyright

Corresponding author

* Corresponding author: Email slimanin@iarc.fr

References

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1. Popkin, BM, Adair, LS & Ng, SW (2012) Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 70, 321.
2. Duncan, S, Duncan, EK, Fernandes, RA et al. (2011) Modifiable risk factors for overweight and obesity in children and adolescents from Sao Paulo, Brazil. BMC Public Health 11, 585.
3. Food and Agriculture Organization of the United Nations (2006) The Double Burden of Malnutrition. Cases Studies from Six Developing Countries. Rome: FAO.
4. Popkin, BM (2017) Relationship between shifts in food system dynamics and acceleration of the global nutrition transition. Nutr Rev 75, 7382.
5. Slimani, N, Deharveng, G, Charrondiere, RU et al. (1999) Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. Comput Methods Programs Biomed 58, 251266.
6. Slimani, N, Ferrari, P, Ocke, M et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900917.
7. Brussaard, JH, Johansson, L & Kearney, J (2002) Rationale and methods of the EFCOSUM project. Eur J Clin Nutr 56, Suppl. 2, S4S7.
8. de Boer, EJ, Slimani, N, van ’t Veer, P et al. (2011) Rationale and methods of the European Food Consumption Validation (EFCOVAL) Project. Eur J Clin Nutr 65, Suppl. 1, S1S4.
9. de Boer, EJ, Slimani, N, van ’t Veer, P et al. (2011) The European Food Consumption Validation Project: conclusions and recommendations. Eur J Clin Nutr 65, Suppl. 1, S102S107.
10. Freisling, H, Ocke, MC, Casagrande, C et al. (2015) Comparison of two food record-based dietary assessment methods for a pan-European food consumption survey among infants, toddlers, and children using data quality indicators. Eur J Nutr 54, 437445.
11. Park, MK, Park, JY, Nicolas, G et al. (2015) Adapting a standardised international 24 h dietary recall methodology (GloboDiet software) for research and dietary surveillance in Korea. Br J Nutr 113, 18101818.
12. Slimani, N, Casagrande, C, Nicolas, G et al. (2011) The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring. Eur J Clin Nutr 65, Suppl. 1, S5S15.
13. Slimani, N, Kaaks, R, Ferrari, P et al. (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5, 11251145.
14. European Food Safety Authority (2014) Guidance on the EU methodology. EFSA J 12, 3944.
15. Ambre, A, Horváth, Z, Farkas, Z et al. (2013) Pilot study in the view of a Pan-European dietary survey – adolescents, adults and elderly. EFSA Support Publ 10, EN-485.
16. Ocké, M, de Boer, E, Brants, H et al. (2012) PANCAKE – Pilot study for the Assessment of Nutrient intake and food Consumption Among Kids in Europe. EFSA Support Publ 9, EN-339.
17. Slimani, N & Valsta, L (2002) Perspectives of using the EPIC-SOFT programme in the context of pan-European nutritional monitoring surveys: methodological and practical implications. Eur J Clin Nutr 56, Suppl. 2, S63S74.
18. Instituto Brasileiro de Geografia e Estatística (2011) Pesquisa de Orçamentos Familiares 2008–2009. Análise do Consumo Alimentar Pessoal no Brasil. Rio de Janeiro: IBGE.
19. Fisberg, RM & Marchioni, DML (2012) Manual de Avaliação do Consumo Alimentar em Estudos Populacionais: a Experiência do Inquérito de Saúde em São Paulo (ISA). São Paulo: Faculdade de Saúde Pública, Universidade de São Paulo.
20. Inquérito de Saúde de São Paulo (2008) Avaliação do Consumo Alimentar. http://www.fsp.usp.br/isa-sp/ (accessed April 2017).
21. Romero-Martinez, M, Shamah-Levy, T, Franco-Nunez, A et al. (2013) National Health and Nutrition Survey 2012: design and coverage. Salud Publica Mex 55, Suppl. 2, S332S340.
22. Crispim, SP, Fisberg, RM, Almeida, CCB et al. (2017) Manual Fotográfico de Quantificação Alimentar. Curitiba: Universidade Federal do Paraná.
23. Crispim, SP, Fisberg, RM, Nicolas, G et al. (2015) Harmonization of the selection of foods for photo quantification of portion sizes in dietary surveys in Latin America: La-Dieta project report. Arch Latinoam Nutr 65, Suppl. 2, 264.
24. Ministério da Saúde, Ministério do Planejamento, Orçamento e Gestão & Instituto Brasileiro de Geografia e Estatística (2011) Pesquisa de Orçamentos Familiares 20082009: Tabela de Medidas Referidas para os Alimentos Consumidos no Brasil . Rio de Janeiro: IBGE.
25. Instituto Nacional de Salud Pública (2012) Bases de Datos del Valor Nutritivo de los Alimentos. Compilación del Instituto Nacional de Salud Pública. Cuernavaca: Instituto Nacional de Salud Pública.
26. Pinheiro, ABV (2004) Tabela para Avaliação de Consumo Alimentar em Medidas Caseiras, 5th ed. São Paulo: Atheneu.
27. Fisberg, RM & Villar, BS (2002) Manual de Receitas e Medidas Caseiras para Cálculo de Inquéritos Alimentares: Manual Elaborado para Auxiliar o Processamento de Dados de Inquéritos Alimentares. São Paulo: Signus.
28. Tomita, LY & Cardoso, MA (2000) Relação de Medidas Caseiras, Composição Química e Receitas de Alimentos Nipo-Brasileiros. São José do Rio Preto: Faculdade de Medicina de São José do Rio Preto.
29. Pacheco, M (2006) Tabela de Equivalentes, Medidas Caseiras e Composição Química dos Alimentos. Rio de Janeiro: Rubio.
30. Núcleo de Estudos e Pesquisas em Alimentação/Universidade de Campinas (2011) TACO – Tabela Brasileira de Composição de Alimentos, 4th ed. Campinas: NEPA/UNICAMP.
31. Crispim, SP, Nicolas, G, Casagrande, C et al. (2014) Quality assurance of the international computerised 24 h dietary recall method (EPIC-Soft). Br J Nutr 111, 506515.
32. Ministério da Saúde, Ministério do Planejamento, Orçamento e Gestão & Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de Orçamentos Familiares 20082009: Antropometria e Estado Nutricional de Crianças, Adolescentes e Adultos no Brasil . Rio de Janeiro: IBGE.
33. Ocke, MC, Slimani, N, Brants, H et al. (2011) Potential and requirements for a standardized pan-European food consumption survey using the EPIC-Soft software. Eur J Clin Nutr 65, Suppl. 1, S48S57.
34. Kroker-Lobos, MF, Pedroza-Tobias, A, Pedraza, LS et al. (2014) The double burden of undernutrition and excess body weight in Mexico. Am J Clin Nutr 100, issue 6, 1652S1658S.
35. Conde, WL & Monteiro, CA (2014) Nutrition transition and double burden of undernutrition and excess of weight in Brazil. Am J Clin Nutr 100, issue 6, 1617S1622S.
36. Rtveladze, K, Marsh, T, Webber, L et al. (2013) Health and economic burden of obesity in Brazil. PLoS One 8, e68785.
37. Pan American Health Organization (2015) Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications. Washington DC: PAHO.
38. Yokoo, EM, Pereira, RA, Veiga, GV et al. (2008) Methodological proposal for the individual food intake module of the Brazilian household budget survey. Rev Nutr 21, 767776.
39. Moshfegh, AJ, Rhodes, DG, Baer, DJ et al. (2008) The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 88, 324332.
40. Lopez-Olmedo, N, Carriquiry, AL, Rodriguez-Ramirez, S et al. (2016) Usual intake of added sugars and saturated fats are high while dietary fiber intake is low in the Mexican population. J Nutr 146, issue 9, 1856S1865S.
41. Illner, AK, Freisling, H, Boeing, H et al. (2012) Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. Int J Epidemiol 41, 11871203.

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