2016
DOI: 10.4137/nmi.s38374
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Development and Validation of a Data-Based Food Frequency Questionnaire for Adults in Eastern Rural Area of Rwanda

Abstract: This study aimed to develop and evaluate the validity of a food frequency questionnaire (FFQ) for rural Rwandans. Since our FFQ was developed to assess malnutrition, it measured energy, protein, vitamin A, and iron intakes only. We collected 260 weighed food records (WFRs) from a total of 162 Rwandans. Based on the WFR data, we developed a tentative FFQ and examined the food list by percent contribution to energy and nutrient intakes. To assess the validity, nutrient intakes estimated from the FFQ were compare… Show more

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Cited by 14 publications
(19 citation statements)
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References 33 publications
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“…The higher concentration of flours in the porridge of household I than that of household II, meant that it contained more energy, protein, and iron than that of household II. Porridge with more than 13% of mixed flour concentration could exceed the median energy, protein, and iron contents in 100 g of porridge observed in the previous study conducted in the eastern part of Rwanda [4].…”
Section: Porridgecontrasting
confidence: 66%
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“…The higher concentration of flours in the porridge of household I than that of household II, meant that it contained more energy, protein, and iron than that of household II. Porridge with more than 13% of mixed flour concentration could exceed the median energy, protein, and iron contents in 100 g of porridge observed in the previous study conducted in the eastern part of Rwanda [4].…”
Section: Porridgecontrasting
confidence: 66%
“…Nutrient contents in 100 g of porridge are shown because portion size of each person is different. According to our previous study [4], 18-69-year-olds' median portion sizes of porridge were 650 g for males and 480 g for females. If nutrient contents of porridge are shown per 100 g, it is easy to estimate males' and females' nutrient intakes by multiplying them by 6.5 and 4.8, respectively.…”
Section: Porridgementioning
confidence: 84%
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“…We conducted a second-analysis of the data collected in our previous research 14) . 15) judging that they might be caused by measurement errors.…”
Section: Wfrmentioning
confidence: 99%