Evidence map›Paper›PMID 34483479›Full record

ArticleJournal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems2021

Raw

Ana Moltedo, Sofía Jiménez, Cristina Álvarez-Sánchez, Talent Manyani, María Priscila Ramos, Estefanía Custodio

Abstract read
In one paragraph

Article in Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Ana MoltedoStatistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153, Rome, Italy.
Sofía JiménezJoint Research Centre, Sustainable Resources, Economics of Agriculture, European Commission, Joint Research Centre, C/Inca Garcilaso s/n, Sevilla, E-41092, Spain.
Cristina Álvarez-SánchezStatistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153, Rome, Italy.
Talent ManyaniStatistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153, Rome, Italy.
María Priscila RamosUniversidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía, Buenos Aires, Argentina.
Estefanía CustodioJoint Research Centre, Sustainable Resources, Economics of Agriculture, European Commission, Joint Research Centre, C/Inca Garcilaso s/n, Sevilla, E-41092, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many countries, statistics from household consumption and expenditure surveys are increasingly being used to inform policies and programs. In household surveys, foods are typically reported as they are acquired (the majority are raw). However, the micronutrient content of some foods diminishes during processing and cooking. Using food consumption data from the 2015/16 Kenya Integrated Household Budget Survey, this study analyzes whether mean consumption estimates of dietary energy, macronutrients, and eight micronutrients are equivalent (applying a two-side paired equivalence test) when matching foods: (1) considering the nutrient content in raw foods (as reported in the survey), and (2) considering the nutrient content in foods as typically consumed, thus applying yield and retention factors as needed. Both food matching approaches rendered statistically equivalent mean consumption estimates, at national and county levels, for dietary energy, protein, fats, available carbohydrates, total fiber, calcium and zinc. Non-equivalent means were found for iron, vitamins A, B1, B2, B12, and C. The higher differences between the means were, in percentage change, for vitamin C (47 %), B1 (34 %) and B12 (26 %).

Indexed as

Dietary assessmentFood composition tables and databasesHousehold consumption and expenditure surveysMineralsRetention factorsVitaminsYield factors

Identifiers

PMID34483479
PMCPMC8356072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.