Evidence map›Paper›PMID 35565802›Full record

ArticleNutrients2022

Validation of an Automated Wearable Camera-Based Image-Assisted Recall Method and the 24-h Recall Method for Assessing Women's Time Allocation in a Nutritionally Vulnerable Population: The Case of Rural Uganda.

Andrea L S Bulungu, Luigi Palla, Jan Priebe, Lora Forsythe, Pamela Katic, Gwen Varley, Bernice D Galinda, Nakimuli Sarah, Joweria Nambooze, Kate Wellard and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Andrea L S BulunguDepartment of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.ORCID 0000-0002-5396-8766
Luigi PallaDepartment of Public Health and Infectious Diseases, University of Roma La Sapienza, 00185 Rome, Italy.ORCID 0000-0001-6944-1750
Jan PriebeNatural Resources Institute (NRI), University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK.
Lora ForsytheNatural Resources Institute (NRI), University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0001-9931-4453
Pamela KaticNatural Resources Institute (NRI), University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0001-7594-1081
Gwen VarleyNatural Resources Institute (NRI), University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0002-4193-9140
Bernice D GalindaDepartment of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Nakimuli SarahDepartment of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Joweria NamboozeAfrica Innovations Institute (AfrII), Kampala P.O. Box 34981, Uganda.
Kate WellardNatural Resources Institute (NRI), University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK.
Elaine L FergusonDepartment of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.

Funding

Innovative Methods and Metrics for Agriculture and Nutrition Actions (IMMANA) IMMANA 2.05
6 · The paper itself

Abstract

Accurate data are essential for investigating relationships between maternal time-use patterns and nutritional outcomes. The 24 h recall (24HR) has traditionally been used to collect time-use data, however, automated wearable cameras (AWCs) with an image-assisted recall (IAR) may reduce recall bias. This study aimed to evaluate their concurrent criterion validity for assessing women's time use in rural Eastern Ugandan. Women's (

Indexed as

Vulnerable PopulationsWearable Electronic DevicesFemaleHumansMental RecallRural PopulationUgandacare practicesmaternal timemeasurement errormethodologytime usevalidation studieswearable camera

Identifiers

PMID35565802
PMCPMC9101468

What OpenQuestion holds

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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.