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Ability to predict irregular periods of food depriviation improves body-weight regulation and reduces weight gain in food-insecure starlings

Lookup NU author(s): Charlotte Parker, Ryan Nolan, Dr Clare Andrews, Professor Melissa BatesonORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Authors.Food insecurity is associated with higher body weight in humans and other species, but the causal effect of unpredictable food availability on weight gain is unknown. We measured food intake and weight in starlings (Sturnus vulgaris) exposed to repeated irregular periods of food deprivation. We manipulated the predictability of deprivation between subjects with a 1 h visual cue that either reliably preceded deprivation (Predictable group) or was uncorrelated with deprivation (Unpredictable group). During the cue, Predictable birds reduced their food intake and spent less time inactive, indicating that they had learnt the contingency. Despite these responses, they lost less weight during subsequent deprivation. They also ate less and gained less weight when food was returned. Birds with the largest behavioural response to the cue had the lowest overall variance in body weight. Consistent with the insurance hypothesis, food intake and body weight increased over time in both groups and body weight was higher in the Unpredictable group. Our results suggest that when food deprivation was predictable, birds were less reliant on stored fat and instead used conditioned hypometabolism to mitigate the effects of food deprivation. We discuss the implications of our findings for the differential health impacts of food insecurity and intermittent fasting.


Publication metadata

Author(s): Parker C, Nolan R, Andrews CP, Bateson M

Publication type: Article

Publication status: Published

Journal: Royal Society Open Science

Year: 2025

Volume: 12

Issue: 11

Print publication date: 12/11/2025

Acceptance date: 14/10/2025

Date deposited: 25/11/2025

ISSN (electronic): 2054-5703

Publisher: Royal Society Publishing

URL: https://doi.org/10.1098/rsos.250917

DOI: 10.1098/rsos.250917

Data Access Statement: The data, meta-data and R code necessary to generate the analyses and figures in the current paper have been deposited on the Open Science Framework and are publicly available at OSF. https://doi.org/10.17605/OSF.IO/VYP4R


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Funding

Funder referenceFunder name
European Union’s Horizon 2020 research and innovation programme (AdG 666669, COMSTAR)

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