ArticlePublic health nutrition2019
Validation of a digitally displayed photographic food portion-size estimation aid among women in urban and rural Malawi.
Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05610137 (Application of the 24-hour Recall Methodology Assisted by Digital Photographs and Homologation With Colombian Foods for the Analysis of Dietary Intake), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Application of the 24-hour Recall Methodology Assisted by Digital Photographs and Homologation With Colombian Foods for the Analysis of Dietary Intake
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review Examining Contributors to Misestimation of Food and Beverage Intake Based on Short-Term Self-Report Dietary Assessment Instruments Administered to Adults.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Development and Validation of a Photographic Food Atlas for Portion Size Estimation and Educational Use in Türkiye.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026Article
- Development of an open-access food atlas with nutrient composition and recipes in Argentina: The Smart24Food Atlas.PloS one · 2026Article
- Article
- Development of a Digital Photographic Food Atlas as a Portion Size Estimation Aid in Japan.Nutrients · 2022Article
- Performance of the Digital Dietary Assessment Tool MyFoodRepo.Nutrients · 2022Article
- Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults.Journal of nutritional science · 2022Article
- Development and validation of a photographic atlas of food portions for accurate quantification of dietary intakes in China.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2021Observational
- Portion size and consistency as indicators of complementary food energy intake.Maternal & child nutrition · 2021Article
- Optimizing portion-size estimation aids: a formative evaluation in Malawi.Public health nutrition · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo validate digitally displayed photographic portion-size estimation aids (PSEA) against a weighed meal record and compare findings with an atlas of printed photographic PSEA and actual prepared-food PSEA in a low-income country.
designParticipants served themselves water and five prepared foods, which were weighed separately before the meal and again after the meal to measure any leftovers. Participants returned the following day and completed a meal recall. They estimated the quantities of foods consumed three times using the different PSEA in a randomized order.
settingTwo urban and two rural communities in southern Malawi.
participantsWomen (n 300) aged 18-45 years, equally divided by urban/rural residence and years of education (≤4 years and ≥5 years).
resultsResponses for digital and printed PSEA were highly correlated (>91 % agreement for all foods, Cohen's κw = 0·78-0·93). Overall, at the individual level, digital and actual-food PSEA had a similar level of agreement with the weighed meal record. At the group level, the proportion of participants who estimated within 20 % of the weighed grams of food consumed ranged by type of food from 30 to 45 % for digital PSEA and 40-56 % for actual-food PSEA. Digital PSEA consistently underestimated grams and nutrients across foods, whereas actual-food PSEA provided a mix of under- and overestimates that balanced each other to produce accurate mean energy and nutrient intake estimates. Results did not differ by urban and rural location or participant education level.
conclusionsDigital PSEA require further testing in low-income settings to improve accuracy of estimations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.