Back

Adherence to the Eatwell Guide and associations with markers of adiposity: A prospective analysis within the UK Biobank cohort

Griffiths, A.; Gregory, S.; Malcomson, F.; Spreckley, M.; Matu, J.; Ells, L.; Shannon, O. M.

2025-11-30 nutrition
10.1101/2025.11.27.25341158 medRxiv
Show abstract

BackgroundObesity remains a major public health concern in the UK, contributing towards increased disease risk and premature mortality. The Eatwell Guide - the UKs health eating model - is widely applied in policy and practice, yet evidence linking adherence to this dietary pattern with adiposity is limited. Similarly, understanding whether associations differ across population subgroups, including by level of genetic risk for obesity, is essential to inform equitable and effective dietary guidance. MethodsIn 156 764 participants from the UK Biobank, we explored cross-sectional and prospective associations between adherence to the Eatwell Guide and markers of adiposity (BMI, waist circumference, a body shape index [ABSI], and total and trunk body fat percentage). Differences between population sub-groups including by genetic risk, age, sex, physical activity level and socioeconomic status were explored. ResultsHigher Eatwell Guide adherence was cross-sectionally associated with lower BMI ({beta} = -0.032, SE = 0.001, p<0.001), with higher adherence associated with 25% lower odds of overweight/obesity versus lower adherence (OR = 0.75, 95% CI 0.73-0.77, p<0.001). Prospectively, greater Eatwell Guide adherence predicted more favourable BMI trajectories over time ({beta} = -0.008, SE = 0.001, p<0.001). Similar, significant associations were observed for waist circumference, ABSI, and total and trunk body fat percentage (all p<0.05) and were broadly consistent across key population sub-groups. ConclusionsHigher Eatwell Guide adherence was associated with beneficial changes in multiple markers of adiposity over time. These associations were consistent across key demographic groups, highlighting the potential role of adhering to UK healthy eating recommendations as part of weight management strategies in the UK.

Published in International Journal of Obesity (predicted rank #1) · training set

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.