Evidence map›Paper›PMID 42500248›Full record

ArticleFrontiers in nutrition2026

Food inflation, nutrition behavior, food insecurity, and anxiety: a Bayesian network analysis among Turkish adults.

Hande Ongun Yilmaz, Sedat Arslan, Salim Yilmaz

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In one paragraph

Article in Frontiers 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hande Ongun YilmazDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Bandirma Onyedi Eylul University, Balikesir, Türkiye.
Sedat ArslanDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Bursa Uludag University, Bursa, Türkiye.
Salim YilmazDepartment of Health Management, Faculty of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Food inflation is a pervasive economic stressor that may disrupt nutritional behaviors and amplify food insecurity, yet the complex pathways linking these phenomena to psychological distress remain poorly understood. This study aimed to map the conditional dependency structure among food inflation-related behavioral changes, food insecurity, and anxiety in Turkish adults using Bayesian Network analysis. Methods: A cross-sectional online survey was conducted among 1,042 Turkish adults (72.9% female; 57.0% aged 18-24) between November and December 2025. The Effect of Food Inflation on Nutrition Behavior (EFINUB), The Impact of Food Inflation on Consumer Behavior (IFI-ConB), Food Insecurity Experience Scale, and Beck Anxiety Inventory were administered alongside sociodemographic measures. A Conditional Gaussian Bayesian Network with 23 nodes was learned using bootstrap-averaged structure learning (1,000 resamples, strength threshold ≥ 0.85), followed by Markov blanket analysis, conditional probability queries, and what-if policy simulations. Results: The network revealed 25 directed arcs organized into three isolated clusters: demographic, dietary habits, and scale-relationship. Food insecurity emerged as the sole member of the anxiety Markov blanket. Severe food insecurity rose from 1.2% to 48.2% (an absolute increase of 47.0 percentage points) across Low to High Food Consumption Impact groups. Simulating universal food security produced the largest anxiety reduction (-61.0%), whereas partial behavioral improvement reduced food insecurity but not anxiety. Sensitivity analyses confirmed structural robustness across threshold specifications (29 arcs at 0.70) and gender-balanced resampling (Jaccard = 0.808). Conclusion: Food insecurity is the primary conduit through which food inflation-related behavioral disruptions translate into anxiety. Policy responses may benefit from prioritizing direct food security support over partial behavioral assistance when the goal is to reduce anxiety burden.

Indexed as

anxietyBayesian networkfood inflationfood insecuritynutrition behavior

Identifiers

PMID42500248
PMCPMC13395739

What Socratic holds

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LicenceCC BY
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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 Socratic graph.