Evidence map›Paper›PMID 40370802›Full record

ArticleFrontiers in nutrition2025

Development of a composite index for the assessment of food systems in the Philippines.

Maria Julia Golloso-Gubat, Angelina Felix, Nancy A Tandang, Cecilia Cristina S Acuin, Prudenciano U Gordoncillo

Abstract read
In one paragraph

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Maria Julia Golloso-GubatDepartment of Science and Technology, Food and Nutrition Research Institute, Taguig, Philippines.
Angelina FelixInstitute of Human Nutrition and Food, University of the Philippines, Los Baños, Philippines.
Nancy A TandangInstitute of Statistics, University of the Philippines, Los Baños, Philippines.
Cecilia Cristina S AcuinInstitute of Human Nutrition and Food, University of the Philippines, Los Baños, Philippines.
Prudenciano U GordoncilloDepartment of Agricultural and Applied Economics, University of the Philippines, Los Baños, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

composite indexfood systemindicatorsmetricsPhilippinessub-national assessment

Identifiers

PMID40370802
PMCPMC12075108

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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 OpenQuestion graph.