Evidence mapPaperPMID 32705973Full record

ArticlePublic health nutrition2021

A culture-sensitive semi-quantitative FFQ for use among the adult population in Nairobi, Kenya: development, validity and reproducibility.

Catarina Vila-Real, Ana Pimenta-Martins, Jack-Susan Magu, Catherine Kunyanga, Samuel Mbugua, Kati Katina, Ndegwa H Maina, Ana Mp Gomes, Elisabete Pinto

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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Catarina Vila-RealUniversidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, 4169-005Porto, Portugal.ORCID 0000-0002-1352-6525
Ana Pimenta-MartinsUniversidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, 4169-005Porto, Portugal.
Jack-Susan MaguFaculty of Agriculture, Department of Food Science, Nutrition and Technology, University of Nairobi, 00625Nairobi, Kenya.
Catherine KunyangaFaculty of Agriculture, Department of Food Science, Nutrition and Technology, University of Nairobi, 00625Nairobi, Kenya.
Samuel MbuguaFaculty of Agriculture, Department of Food Science, Nutrition and Technology, University of Nairobi, 00625Nairobi, Kenya.
Kati KatinaDepartment of Food and Environmental Sciences, Division of Food Technology, University of Helsinki, 00014Helsinki, Finland.
Ndegwa H MainaDepartment of Food and Environmental Sciences, Division of Food Technology, University of Helsinki, 00014Helsinki, Finland.
Ana Mp GomesUniversidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, 4169-005Porto, Portugal.
Elisabete PintoUniversidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, 4169-005Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a semi-quantitative FFQ and to evaluate its validity and reproducibility for the assessment of total dietary intake of Kenyan urban adult population, given its non-existence in Kenya.

designThe current study adopted a cross-sectional design. A culture-sensitive semi-quantitative FFQ was developed and its validity was tested relative to three non-consecutive 24-h recalls (24hR). Reproducibility was tested by the test-retest method, with a 3-week interval. Spearman's correlation coefficients and intra-class correlation coefficients were calculated for several macro- and micronutrients. Cross-classification into quartiles and Bland and Altman plots were analysed.

settingNairobi county (Dagoreti South and Starehe constituencies).

participantsA convenient sample was recruited in three different clusters in Nairobi.

resultsA culture-sensitive 123-food-item semi-quantitative FFQ showed higher nutrient intakes compared with the 24hR (total energy median 12543·632 v. 8501·888 kJ, P < 0·001). Energy-adjusted and deattenuated Spearman's correlations for macronutrients ranged between 0·21 (total fat) and 0·47 (protein). The agreement in the same quartile varied from 28 % (protein) to 41 % (carbohydrates). Including adjacent quartiles, the range increased: 76 % (protein and fat) to 81 % (carbohydrates). The extreme disagreement was low. The first FFQ application resulted in higher mean values for all nutrients compared with the second FFQ (total energy median 12459·952 v. 10485·104 kJ, P < 0·001). Energy-adjusted correlations for macronutrients ranged from 0·28 (carbohydrates) to 0·61 (protein). Intra-class correlation coefficients for macronutrients were moderate, between 0·6 and 0·7.

conclusionsThe developed semi-quantitative FFQ was shown to be a valid and reproducible tool for ranking urban adult Kenyans according to their dietary intake.

Indexed as

DietEnergy IntakeAdultCross-Sectional StudiesDiet RecordsDiet SurveysHumansKenyaMicronutrientsReproducibility of ResultsSurveys and QuestionnairesMicronutrients24-h recallsFFQKenyaReproducibilityValidity

Identifiers

PMID32705973
PMCPMC10195469

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.