Evidence map›Paper›PMID 42211241›Full record

ArticleFood security2024

The association between crop diversity and children's dietary diversity: multi-scalar and cross-national comparisons.

Carina Isbell, Daniel Tobin, Brian C Thiede, Kristal Jones, Travis Reynolds

Abstract read
In one paragraph

Article in Food security, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Carina IsbellThe University of Vermont, Burlington, VT, USA.
Daniel TobinThe University of Vermont, Burlington, VT, USA.
Brian C ThiedeThe Pennsylvania State University, University Park, PA, USA.
Kristal JonesJG Research and Evaluation, Bozeman, MT, USA.
Travis ReynoldsThe University of Vermont, Burlington, VT, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Food insecurity is rising across sub-Saharan Africa (SSA), where undernourishment continues to affect a large portion of the population, particularly young children. Studies examining the associations between crop diversity and childhood nutrition have recently proliferated but are characterized by inconsistent results and two key limitations. First, many studies focus only on the household level, overlooking the prospect that more diverse crops at village and regional levels may contribute to household food security. Second, many studies pool data from multiple countries, which may obscure important context-specific aspects of nutrition outcomes. Drawing on Demographic and Health Survey (DHS) data from 10 SSA countries, in combination with agricultural production estimates for 112 crop species, this study explores the associations between crop diversity at multiple scales (10-, 25-, and 50-kilometer radii) and children's dietary diversity (HDDS). In addition to producing overall estimates across our sample, we measure country-specific associations to account for spatial heterogeneity. Results of the overall model show a negative association between crop diversity and dietary diversity. However, the country-specific analyses uncover extensive variability in these associations: in some cases, diversity is highly positively correlated with HDDS, while in others the estimated effect is negative or nonexistent. Our findings suggest that country-level analyses provide important nuance that may be masked in pooled analyses. Moreover, these findings foreground the importance of looking beyond household-level analyses to understand the dynamic role that local crop diversity, and its exchange across space, can play in supporting children's dietary diversity.

Indexed as

Crop diversityDietary diversityNutritionSpatial scale

Identifiers

PMID42211241
PMCPMC13215701

What OpenQuestion holds

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LicenceCC BY
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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.