Comparing intake estimations based on food composition data with chemical analysis in Malian women.
OBJECTIVE
Food composition databases are essential for estimating nutrient intakes in food consumption surveys. The present study aimed to evaluate the Mali food composition database (TACAM) for assessing intakes of energy and selected nutrients at population level.


METHODS
Weighed food records and duplicate portions of all foods consumed during one day were collected. Intakes of energy, protein, fat, available carbohydrates, dietary fibre, Ca, Fe, Zn and vitamin A were assessed by: (i) estimating the nutrient intake from weighed food records based on an adjusted TACAM (a-TACAM); and (ii) chemical analysis of the duplicate portions. Agreement between the two methods was determined using the Wilcoxon signed-rank test and Bland-Altman plots.


METHODS
Bamako, Mali.


METHODS
Apparently healthy non-pregnant, non-lactating women (n 36) aged 15-36 years.


RESULTS
Correlation coefficients between estimated and analysed values ranged from 0·38 to 0·61. At population level, mean estimated and analysed nutrient intakes differed significantly for carbohydrates (203·0 v. 243·5 g/d), Fe (9·9 v. 22·8 mg/d) and vitamin A (356 v. 246 µg retinol activity equivalents). At individual level, all estimated and analysed nutrient intakes differed significantly; the differences tended to increase with higher intakes.


CONCLUSIONS
The a-TACAM is sufficiently acceptable for measuring average intakes of macronutrients, Ca and Zn at population level in low-intake populations, but not for carbohydrate, vitamin A and Fe intakes, and nutrient densities.
1Division of Human Nutrition,Wageningen University,Wageningen,The Netherlands.
Yara
Y
Koréissi-Dembélé
1Division of Human Nutrition,Wageningen University,Wageningen,The Netherlands.
Esmee L
EL
Doets
1Division of Human Nutrition,Wageningen University,Wageningen,The Netherlands.
Nadia
N
Fanou-Fogny
1Division of Human Nutrition,Wageningen University,Wageningen,The Netherlands.
Paul Jm
PJ
Hulshof
4Laboratory of Human Nutrition,Institute of Food Nutrition and Health,ETH Zürich,Zurich,Switzerland.
Diego
D
Moretti
1Division of Human Nutrition,Wageningen University,Wageningen,The Netherlands.
Inge D
ID
Brouwer
D000293:Adolescent; D000328:Adult; D044383:Black People; D015992:Body Mass Index; D004032:Diet; D015930:Diet Records; D004040:Dietary Carbohydrates / Q000008:administration & dosage; D004041:Dietary Fats / Q000008:administration & dosage; D004043:Dietary Fiber / Q000008:administration & dosage; D004044:Dietary Proteins / Q000008:administration & dosage; D005260:Female; D005504:Food Analysis; D006801:Humans; D008302:Mali; D018977:Micronutrients / Q000008:administration & dosage; D008875:Middle Aged; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D014801:Vitamin A / Q000008:administration & dosage; D055815:Young Adult
D004040:Dietary Carbohydrates; D004041:Dietary Fats; D004043:Dietary Fiber; D004044:Dietary Proteins; D018977:Micronutrients; D014801:Vitamin A
Chemical analysis of duplicate portion; Food composition database; Food weighed record; Nutrient intake of Malian women; Validation