Sampling Plan for the Brazilian TACO Project

Galeazzi, Maria Antonia Martins; Lima, Dag Mendonça; Colugnati, Fernando Antônio Basile; Padovani, Renata Maria; Rodriguez–Amaya, Délia B.

doi:10.1006/jfca.2002.1092

Cited by 11 publications

(8 citation statements)

References 1 publication

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“…The Ministry of Health gave financial support to this project due to the need to gather data on food consumption that can serve as a basis for the development of policies and action plans to ensure food and nutrition security. The TACO Table uses data generated in Brazil through a national sampling plan and chemical analysis of nutrients [33]. Some Brazilian population-based studies, such as the Family Budget Survey [34] With respect only to the value of calorie intake, the lowest agreement (M4 and M5) indicates the most heterogeneous comparison between the methods.…”

Section: Discussionmentioning

confidence: 99%

Agreement of dietary fiber and calorie intake values according to the choice of nutrient composition and household measure tables

et al. 2017

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Objective: To analyze the variations in the daily intake of dietary fiber and calories according to the different nutrient composition and homemade measure tables. Methods: Five different methods based on different nutrient composition and household measure tables were used to calculate daily calorie and fiber intake, measured using a food frequency questionnaire, of 633 pregnant women receiving care in primary health care units in the Southern region of Brazil; they were selected to participate in a cohort study. The agreement between the five methods was evaluated using the Kappa and weighted Kappa coefficients. The Nutritional Support Table, a Brazilian traditional food composition table and the Brazilian household expenditure survey were used in Method 1. Brazilian Food Composition Table and the Table for the Assessment of Household Measures (Pinheiro) were used in Methods 2 and 3. The average values of all subtypes of food listed in the Brazilian Food Composition Table for each corresponding item in the food frequency questionnaire were calculated in the method 3. The United States Department of Agriculture Food Composition Table and the table complied by Pinheiro were used in Method 4. The Brazilian Food Composition Table and the Brazilian household expenditure survey were used in Method 5. Results: The highest agreement of calorie intake values were found between Methods 2 and 3 (Kappa=0.94; 0.92-0.95), and the lowest agreement was found between Methods 4 and 5 (Kappa=0.46; 0.42-0.50). As for the fiber intake, the highest agreement was found between Methods 2 and 5 (Kappa=0.87; 0.82-0.90), and the lowest agreement was observed between Methods 1 and 4 (Kappa=0.36; 0.3-0.43). Conclusion: Considerable differences were found between the nutritional composition tables. Therefore, the choice of the table can influence the comparability between studies.

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Section: Discussionmentioning

confidence: 99%

Agreement of dietary fiber and calorie intake values according to the choice of nutrient composition and household measure tables

et al. 2017

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“…The recommended FCDB methods in the literature were used in this study for the prioritization of nutrients and the selection of foods [6,[8][9][10][11][12] . Researchers officially asked related organisations (e.g.…”

Section: Selection Of Fruits and Nutrientsmentioning

confidence: 99%

“…The prioritisation of fruits took into consideration these recommendations and other criteria such as; the lack of nutrient data, the economic importance of fruit, fruit biodiversity, and the frequent consumption of the fruit and marketing potential. The nutrient determination was prioritised on the basis of inclusion of relevant data in the national FCDBs and the most relevant components to be analyzed for fruits [5,9]. A total of 18 fruits (stone fruits and pome/core fruits) were included in this paper.…”

Section: Selection Of Fruits and Nutrientsmentioning

confidence: 99%

Food composition of fruits in Turkey: research outputs from the new Turkish Food Composition Database, TürKomp

Löker

Yaman

Çevikkalp

et al. 2016

Fruits

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-In this study, both macro-and micro-nutrients of a total of 18 regional fruits were analyzed in order to launch a new and reliable food composition database (FCDB) of Turkish food composition, TürKomp. The new high quality analytical data were compared with some well-known FCDBs datasets. The new data produced in TürKomp is expected to be an invaluable source that would be used in dietary programmes and nutrition surveys in Turkey.Keywords: Turkey / temperate and Mediterranean fruits / stone and pome fruits / nutritional value / dietary guidelines / primary and secondary nutrients Résumé -Composition nutritionnelle des fruits de Turquie : Résultats scientifiques issus de la nouvelle table de composition alimentaire turque, TürKomp. Dans cette étude, les micro et macronutriments d'un total de 18 fruits régionaux ont été analysés dans le but d'établir une base de données alimentaires (FCDB) nouvelle et fiable, TürKomp, sur la composition nutritionnelle du régime alimentaire turc. Les nouvelles données analytiques de haute qualité ont été comparées à l'ensemble des données nationales bien connues (bases de données FCDB). Les nouvelles données produites dans TürKomp doivent apporter une information inestimable utile aux programmes alimentaires et aux enquêtes nutritionnelles en Turquie.

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“…Usually a large number of samples, depending on the food type and variables affecting their composition, must be analyzed to obtain representative data (Galeazzi et al, 2002;Greenfield et al, 2009;Tarley, Visentainer, Matsushita, & de Souza, 2004). The objective of the proposed methodology is to select the main variables that influence the composition of each food, discarding the less important in order to reduce variability, and thereby the samples number analyzed, without losing its statistical significance.…”

Section: Introductionmentioning

confidence: 99%

“…In that case, Chromy's Procedure, a probability minimum replacement probability proportional to size sampling scheme was used . In this way, in TACO project (Tabela Brasileira de Composicão de Alimentos), foods were selected from nine cities in the five official Brazilian geopolitical regions (Galeazzi et al, 2002).…”

Section: Introductionmentioning

confidence: 99%