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Simple methods to obtain food listing and portion size distribution estimates for use in semi-quantitative dietary assessment methods


Autoři: Christine Hotz aff001;  Lubowa Abdelrahman aff001
Působiště autorů: Global Alliance for Improved Nutrition (GAIN), Geneva, Switzerland aff001
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0217379

Souhrn

Semi-quantitative dietary assessment methods are frequently used in low income countries, and the use of photographic series for portion size estimation is gaining popularity. However, when adequate data on commonly consumed foods and portion sizes are not available to design these tools, alternative data sources are needed. This study aimed to develop and test methods to: (i) identify foods likely to be consumed in a study population in rural Uganda, and; (ii) to derive distributions of portion sizes for common foods and dishes. A process was designed to derive detailed food and recipe lists using guided group interviews with women from the survey population, including a score for the likelihood of foods being consumed. A rapid recall method for portion size distribution estimation (PSDE) using direct weight by a representative sample of the survey population was designed and implemented. Results were compared to data from a 24 hour dietary recall (24HR). Of the 82 food items reported in the 24HR survey, 87% were among those scored with a high or medium likelihood of being consumed and accounted for 95% of kilocalories. Of the most frequently reported foods in the 24HR, portion sizes for many (15/25), but not all foods did not differ significantly (p<0.05) from those in the portion size estimation method. The percent of portion sizes reported in the 24 hour recall falling between the 5th and 95th percentiles as determined by the PSDE method ranged from 18% up to 100%. In conclusion, a simple food listing and scoring method effectively identified foods most likely to occur in a dietary survey. A novel PSDE method produced similar estimates as for the 24HR, while the approach for others should be further considered and validated. These methods are an improvement on those in current use.

Klíčová slova:

Diet – Food – Surveys – Beverages – Food consumption – Uganda – Data processing – Memory recall


Zdroje

1. Wojtusiak J, Gewa CA, Pawloski LR. Dietary assessment in Africa: integration with innovative technology. Afr J Food Agric Nutr Diet 11:5629–5645; 2011.

2. Coates J, Colaiezzi B, Bell W, Gibson RS. INDDEX priority technical criteria and review of technology-assisted 24-hour recall software programs. Boston: INDDEX project; 2016.

3. Fiedler JL, Martin-Prevel Y, Moursi M. Relative costs of 24-hour recall and Household Consumption and Expenditures Surveys for nutrition analysis. Food Nutr Bull. 2013;34: 318–330. doi: 10.1177/156482651303400304 24167912

4. Coates J, Colaiezzi B, Fiedler JL, Wirth J, Lividini K, Rogers B. A program needs-driven approach to selecting dietary assessment methods for decision-making in food fortification programs. Food Nutr Bull. 2012;33 (Suppl 3): S146–S156.

5. Cade J, Thompson R, Burley V, Warm D. Development, validation and utilisation of food-frequency questionnaires—a review. Pub Health Nutr. 2002;5: 567–587.

6. Amougou N, Cohen E, Mbala ML, Grosdidier B, Bernard JY, Said-Mohamed R, et al. Development and validation of two food portion photograph books to assess dietary intake among adults and children in Central Africa. Br J Nutr. 2016;115: 895–902. doi: 10.1017/S0007114515005401 26786057

7. Kirkpatrick SI, Potischman N, Dodd KW, Douglass D, Zimmerman TP, Kahle LL, et al. The use of digital images in 24-hour recalls may lead to less misestimation of portion size compared with traditional interviewer-administered recalls. J Nutr. 2016;146: 2567–2573. doi: 10.3945/jn.116.237271 27807039

8. Nelson M, Haraldsdóttir J. Food photographs: practical guidelines II. Development and use of photographic atlases for assessing food portion size. Publ Health Nutr. 1998;4: 231–237.

9. Turconi G, Guarcello M, Gigli Berzolari F, Carolei A, Bazzano R, Roggi C. An evaluation of a colour food photography atlas as a tool for quantifying food portion sizes in epidemiological dietary surveys. Eur J Clin Nutr. 2005;59: 923–931. doi: 10.1038/sj.ejcn.1602162 15928683

10. Lazarte CE, Encinas ME, Alegre C, Granfeldt Y. Validation of digital photographs, as a tool in 24-h recall, for the improvement of dietary assessment among rural populations in developing countries. Nutr J. 2012; 11: 61. doi: 10.1186/1475-2891-11-61 22931128

11. Abu Dhabi Food Control Authority. A photographic atlas of food portions for the Emirate of Abu Dhabi. User's guide. Abu Dhabi: ADFCA; 2014.

12. Lombard M, Steyn N, Burger H-M, Charlton K, Senekal M. A Food Photograph Series for Identifying Portion Sizes of Culturally Specific Dishes in Rural Areas with High Incidence of Oesophageal Cancer. Nutr. 2013; 5: 3118–3130.

13. Bernal-Orozco M, Vizmanos-Lamotte B, Rodriguez-Rocha NP, Macedo-Ojeda G, Orozco-Valerio M, Roville-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: 944–952. doi: 10.1017/S0007114512002127 23021307

14. Bouchoucha M, Akrout M, Bellali H, Bouchoucha R, Tarhouni F, Mansour AB, Zouari B. Development and validation of a food photography manual, as a tool for estimation of food portion size in epidemiological dietary surveys in Tunisia. Libyan J Med. 2016; 11:1, doi: 10.3402/ljm.v11.32676 27585631

15. Foster E, Adamson AJ, Anderson AS, Barton KL, Wrieden WL. Estimation of portion size in children's dietary assessment: lessons learnt. Eur J Clin Nutr. 2009;63: S45–S49. doi: 10.1038/ejcn.2008.64 19190643

16. Tueni M, Mounayar A, Birlouez-Aragon I. Development and evaluation of a photographic atlas as a tool for dietary assessment studies in Middle East cultures. Pub Health Nutr. 2012;15: 1023–1028.

17. Gibson RS, Ferguson EL. An interactive 24-hour recall for assessing the adequacy of iron and zinc in developing countries. HarvestPlus Technical Monograph 8. Washington DC and Cali: International Food Policy Research Institute (IFPRI) and International Center for Tropical Agriculture (CIAT); 2008.

18. Hotz C, Loechl C, de Brauw A, Eozenou P, Gilligan D, Moursi M, et al. A large-scale intervention to introduce orange sweet potato in rural Mozambique increases vitamin A intakes among children and women. Br J Nutr. 2012;108: 163–176. doi: 10.1017/S0007114511005174 22018075

19. Jackson MD, Motswagole BS, Kwape LD, Kobue-Lekalake RI, Rakgantswana TB, Mongwaketse T, et al. Validation and reproducibility of an FFQ for use among adults in Botwana. Pub Health Nutr. 2012;16: 1995–2004.

20. FAO (Food and Agriculture Organization. Dietary assessment: A resource guide to method selection and application in low resource settings. Rome: FAO; 2018.

21. Ngo J, Gurinovic M, Frost-Andersen L, Serra-Marjam L. How dietary intake methodology is adapted for use in European immigrant population groups—a review. Br J Nutr. 2009;101 (Suppl. 2): S86–S94.

22. Nelson M, Atkinson M, Darbyshire S. Food photography I: the perception of food portion size from photographs. Br J Nutr 72:649–663; 1994. doi: 10.1079/bjn19940069 7826990

23. Daelmans B, Ferguson E, Lutter CK, Singh N, Pachon H, Creed-Kanashiro H, et al. Designing appropriate complementary feeding recommendations: tools for programmatic action. Mat Child Nutr. 2013;9 (Suppl 2): 116–130.

24. Frega R, Guerra Lanfranco J, De Greve S, Bernardini S, Geniez P, Grede N, et al. What linear programming contributes: World Food Programme experience with the "Cost of the Diet" tool. Food Nutr Bull. 2012;33 (Suppl 3): S229–S234.

25. Fahmida U, Santika O, Kolopaking R, Ferguson E. Complementary feeding recommendations based on locally available foods in Indonesia. Food Nutr Bull. 2014;35 (4 Suppl): S174–S179.

26. Skau JKH, Bunthang T, Chamnan C, Wieringa FT, Dijkhuizen MA, Roos N, et al. The use of linear programming to determine whether a formulated complementary food product can ensure adequate nutrients for 6- to 11-month old Cambodian infants. Am J Clin Nutr. 2014;99: 130–138. doi: 10.3945/ajcn.113.073700 24153341


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