OBJECTIVE: The purpose of this study was to validate a quantitative food-frequency questionnaire (QFFQ) created for assessing the usual intake of foods and nutrients in the prevailing season in Western Mali. DESIGN: Intake of foods and nutrients over the week preceding the interview was measured with a 69-item QFFQ. Intakes were compared with intakes as measured with 2-day combined weighed and recalled diet records. SETTING: A rural village in Western Mali, West Africa. SUBJECTS: Twenty-seven men and 48 women (15-59 years of age) representing 18 households. RESULTS: Spearman rank correlations between intake of food groups from the QFFQ and the diet record ranged from 0.09 (meat/fish) to 0.58 (tea/coffee). Median coefficient was 0.37. Median Spearman correlation coefficient for nutrient intake was 0.40. Men had higher median correlation coefficients than did women. The proportion of subjects being classified into the same quartile of food intake was on median 33%, while a median of 7% was misclassified into extreme quartiles. Correct classification into the same quartile for intake of nutrients was on median 34% while a median of 4% was grossly misclassified. Intakes of most food groups and nutrients as measured by the QFFQ were higher than those measured by the diet records. However, while men had higher estimated intakes for foods eaten in-between meals, women in general had higher intake of foods eaten in the main meals. CONCLUSION: This QFFQ can be used for comparing the intake of foods and nutrients between groups within this study population. It therefore represents a useful tool in the surveillance of food intake in the population, both in identifying vulnerable groups and for tracking food intake over time. The differences between men and women in overestimating food intake need to be taken into account when using the method.
OBJECTIVE: The purpose of this study was to validate a quantitative food-frequency questionnaire (QFFQ) created for assessing the usual intake of foods and nutrients in the prevailing season in Western Mali. DESIGN: Intake of foods and nutrients over the week preceding the interview was measured with a 69-item QFFQ. Intakes were compared with intakes as measured with 2-day combined weighed and recalled diet records. SETTING: A rural village in Western Mali, West Africa. SUBJECTS: Twenty-seven men and 48 women (15-59 years of age) representing 18 households. RESULTS: Spearman rank correlations between intake of food groups from the QFFQ and the diet record ranged from 0.09 (meat/fish) to 0.58 (tea/coffee). Median coefficient was 0.37. Median Spearman correlation coefficient for nutrient intake was 0.40. Men had higher median correlation coefficients than did women. The proportion of subjects being classified into the same quartile of food intake was on median 33%, while a median of 7% was misclassified into extreme quartiles. Correct classification into the same quartile for intake of nutrients was on median 34% while a median of 4% was grossly misclassified. Intakes of most food groups and nutrients as measured by the QFFQ were higher than those measured by the diet records. However, while men had higher estimated intakes for foods eaten in-between meals, women in general had higher intake of foods eaten in the main meals. CONCLUSION: This QFFQ can be used for comparing the intake of foods and nutrients between groups within this study population. It therefore represents a useful tool in the surveillance of food intake in the population, both in identifying vulnerable groups and for tracking food intake over time. The differences between men and women in overestimating food intake need to be taken into account when using the method.
Authors: Rachel M Zack; Kahema Irema; Patrick Kazonda; Germana H Leyna; Enju Liu; Susan Gilbert; Zohra Lukmanji; Donna Spiegelman; Wafaie Fawzi; Marina Njelekela; Japhet Killewo; Goodarz Danaei Journal: Public Health Nutr Date: 2018-04-16 Impact factor: 4.022
Authors: Cheryl-Ann Bennett; Andrea M de Silva-Sanigorski; Melanie Nichols; Andrew C Bell; Boyd A Swinburn Journal: Int J Behav Nutr Phys Act Date: 2009-10-26 Impact factor: 6.457
Authors: Hannah Forster; Rosalind Fallaize; Caroline Gallagher; Clare B O'Donovan; Clara Woolhead; Marianne C Walsh; Anna L Macready; Julie A Lovegrove; John C Mathers; Michael J Gibney; Lorraine Brennan; Eileen R Gibney Journal: J Med Internet Res Date: 2014-06-09 Impact factor: 5.428