Evidence map›Paper›PMID 39275257›Full record

ArticleNutrients2024

Using Household Dietary Diversity Score and Spatial Analysis to Inform Food Governance in Chile.

Martín Del Valle M, Kirsteen Shields, Sofía Boza

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Martín Del Valle MGlobal Academy of Agriculture and Food Systems, The University of Edinburgh, Edinburgh EH8 9YL, UK.ORCID 0000-0002-6850-9538
Kirsteen ShieldsGlobal Academy of Agriculture and Food Systems, The University of Edinburgh, Edinburgh EH8 9YL, UK.
Sofía BozaDepartment of Management and Rural Innovation, Faculty of Agricultural Sciences, University of Chile, Santiago 8330111, Chile.ORCID 0000-0001-5824-0515

Funding

Agencia Nacional de Investigación y Desarrollo 72210103
6 · The paper itself

Abstract

This study explores how the Household Dietary Diversity Score (HDDS) and spatial visualization can inform food governance in Chile, focusing on socio-demographic and geographical determinants affecting food consumption patterns. A national household database (n = 4047), including households from 2019 (n = 3967; 98.02%) and 2020 (n = 80; 1.98%), provided by the "Family Support Program of Food Self-Sufficiency" (FSPFS) of the Ministry of Social Development and Family, was analyzed. The findings revealed that Chilean vulnerable households were led mostly by women (86.6%), with an age average of 55.9 ± 15.6 years old, versus 68.9 ± 12.9 years in the case of men. The intake frequency analysis showed that dairy, fruits, and vegetables were below the recommended values in at least half of the households, and that fats and sugars were above recommended levels. Regarding the HDDS (0-189), the national average was 91.4 ± 20.6 and was significantly influenced by the number of minors in the households, water access, food access issues, and residing in the Zona Sur. Finally, the spatial visualization showed that the Zona Central had higher consumption of fruits and vegetables, while the extreme zones Norte Grande and Zona Austral showed higher intakes of fats and sugars. These findings emphasize the importance of leveraging data insights like the HDDS and spatial visualization to enhance food security and inform food governance strategies.

Indexed as

DietFamily CharacteristicsFood SupplySpatial AnalysisAdultAgedChileFeeding BehaviorFemaleFruitHumansMaleMiddle AgedSocioeconomic FactorsVegetablesChilefood governancefood securityHousehold Dietary Diversity Scorespatial visualization

Identifiers

PMID39275257
PMCPMC11397145

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Registered trials

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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.