ArticleBMC research notes2021
Design and validation of a food frequency questionnaire to assess the dietary intake for adults in pastoral settings in Northern Tanzania.
Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- What's happening in the kitchen? The influence of nutritional knowledge, attitudes and, practices (KAP), and kitchen characteristics on women's dietary quality in Ethiopia.BMC nutrition · 2025Article
- Validity and Reproducibility of a Semiquantitative Food Frequency Questionnaire and Food Picture Book in Nigeria.Current developments in nutrition · 2024Article
- Validating a semi-quantitative food frequency questionnaire to assess regional diet in a study of cancer in South West Nigeria.Cancer causes & control : CCC · 2023Article
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveFood frequency questionnaires are widely used as a dietary assessment tool in nutritional epidemiology to determine the relationship between diet and diseases. In Tanzania, there are several cultural variations in food intake which makes it necessary to design and validate a culture-specific food frequency questionnaire (CFFQ). Therefore, we designed a 27-items CFFQ and examine its validity in pastoral communities. Validity of CFFQ was assessed by comparing nutrient intake estimated from the CFFQ against the average from two 24-h diet recall (2R24). Spearman's correlation coefficients, cross classification and Bland-Altman's methods were used to assess the validity of CFFQ.
resultsA total of 130 adults aged 18 years and above completed both CFFQ and 2R24. Correlation coefficients between CFFQ and 2R24 ranged from low (r = - 0.07) to moderate (r = 0.37). The correlation coefficients were moderately significant for kilocalories (r = 0.31, p < 0.001), carbohydrate (r = 0.33, p < 0.001), magnesium (r = 0.37, p < 0.001), and iron (r = 0.34, p < 0.001). On average, about 69% of participants were correctly classified into the same or adjacent quartile of energy and nutrient intake, while 9% were misclassified by the CFFQ. Bland-Altman's plot demonstrated that the CFFQ had acceptable agreement with the 2R24.
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