Evidence map›Paper›PMID 41799269›Full record

ArticleCurrent developments in nutrition2026

Individual Characteristics and National Income Modify the Association between Cognitive Social Capital and Food Insecurity: Evidence from the Gallup World Poll, 2014-2021.

Sejla Isanovic, Kegan O'Connor, Audrey L Richards, Edward A Frongillo

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Article in Current developments in nutrition, 2026. 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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4 authors.

Sejla IsanovicDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Kegan O'ConnorUnited States Department of Agriculture, Economic Research Service, Washington, DC, United States.
Audrey L RichardsDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Food insecurity affects >2.4 billion people globally and persists across income levels. Characteristics such as low income, low education, and unstable employment do not fully explain this persistence. Social resources embedded in networks, specifically cognitive social capital involving trust, reciprocity, and support, may offset constraints and buffer characteristics associated with a higher probability of food insecurity. Objectives: This study examined whether social capital was associated with a lower probability of food insecurity and whether this association varied by individual characteristics and country contexts, consistent with buffering and compensation. Methods: Data were drawn from the Gallup World Poll (2014-2021), comprising 702,850 respondents aged ≥15 y across 115 countries. Moderate or severe food insecurity was assessed using the 8-item Food Insecurity Experience Scale; social capital was measured using a binary indicator. Six individual-level characteristics were tested using multilevel linear probability models with country fixed effects and interaction terms. Country-specific slope coefficients capturing the association between social capital and food insecurity, obtained from a random-coefficient model, were regressed on log-transformed gross national income (GNI) per capita. Results: The mean probability of food insecurity was 0.259; the mean prevalence of social capital was 0.820. In all countries, higher social capital was associated with a lower probability of food insecurity (slopes -0.318 to -0.055); quadratic analysis of the slopes on log-transformed GNI per capita showed consistent slopes in low- and middle-income countries and steeper slopes in high-income countries ( Conclusions: The strength of the negative association between social capital and food insecurity varied by individual characteristics and national income, consistent with buffering and compensation.

Indexed as

food insecurityGallup World Pollmultilevel analysissocial capitalstress-support theory

Identifiers

PMID41799269
PMCPMC12966665

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