Faculty, Staff and Student Publications

Language

English

Publication Date

1-1-2025

Journal

Depression and Anxiety

DOI

10.1155/da/5510493

PMID

41244031

PMCID

PMC12618132

PubMedCentral® Posted Date

11-7-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Objective: This study aims to address critical gaps in understanding the bidirectional relationships between food insecurity, anxiety, and depression in Meru County, Kenya. By employing a cross-lagged panel analysis, we seek to clarify these temporal dynamics, contributing to the design of targeted interventions that integrate food security and mental health in the context of climate change.

Methods: A cross-lagged panel analysis was conducted using data from 362 adult participants in a community-based empowerment program (2023) in Meru County, Kenya. Participants completed self-report measures of food insecurity, anxiety, and depression at two time points, 11 weeks apart.

Results: Food insecurity (T1) predicted subsequent anxiety and depression (T2), controlling for within-variable, within-time, and control-variable correlations. Village-level food insecurity (T1) was correlated with significantly higher anxiety (T2). Additionally, anxiety (T1) predicted higher subsequent food insecurity (T2).

Conclusion: Food insecurity and anxiety have a complex bidirectional relationship. Interventions that address food security, mental health, and the psychosocial factors that promote adaptation to food-insecure environments are essential for promoting the well-being of individuals and communities in the face of climate change.

Keywords

Humans, Kenya, Male, Female, Longitudinal Studies, Adult, Climate Change, Food Insecurity, Anxiety, Rural Population, Depression, Middle Aged, Young Adult, Adolescent, Food Supply

Published Open-Access

yes

Included in

Public Health Commons

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