ArticleFrontiers in nutrition2025
Development of a composite index for the assessment of food systems in the Philippines.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food system assessment is vital in providing informed decisions for relevant transformations and policy shifts. In the present study, we developed and a composite index that can be utilized to quantitatively assess the status and/or performance of the food systems in the Philippines. Initially, a set of indicators were generated by Delphi approach, and relevant local data were used to develop algorithms to quantitatively operationalize the indicators which were subsequently grouped into domains by Principal Component Analysis (PCA). Equal weights were applied to indicators, and the linear additive aggregation technique was employed. The robustness of the model was also tested by uncertainty and sensitivity tests. Finally, the utility of the index was tested to describe the status of food systems in the Philippines at the across regions. Results indicate differences in regional food system scores; Central Luzon, CALABARZON, and CAR have higher scores than the other regions, while Bicol, Western Visayas, and Davao obtained relatively low scores. The sub-national level assessment indicates differences in food system concerns and priority areas across the country, providing implications for context-specific program and policy development.
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.