Socio-demographic variation in adherence to The Eatwell Guide within the UK Biobank prospective cohort study Article Swipe
Alex Griffiths
,
Fiona C. Malcomson
,
Jamie Matu
,
Sarah Gregory
,
Andrea Fairley
,
Rebecca F. Townsend
,
Amy Jennings
,
Nicola Ward
,
Louisa Ells
,
Emma Stevenson
,
Oliver M. Shannon
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.06.06.25329110
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.06.06.25329110
The Eatwell Guide depicts the UK Government’s healthy eating recommendations and is widely used in clinical practice and public health settings. There is limited evidence on whether adherence to the Eatwell Guide differs by socio-demographic characteristics. This study aimed to explore patterns of Eatwell Guide adherence across socio-demographic groups in the UK Biobank cohort. Eatwell Guide adherence scores were derived for 192,825 individuals from 24-hour dietary recall data (Oxford WebQ), and quantified using a graded, food-based scoring system. Eatwell Guide scores were compared between different age, sex, BMI, ethnicity, socioeconomic status and education groups. Data were analysed using independent sample t-tests, and one-way ANOVA with Tukey post-hoc tests. Eatwell Guide adherence was higher for older than younger, and female compared with male participants (both p <0.001). There was a main effect of BMI on total adherence ( p <0.001), with the highest scores achieved by those with a healthy BMI. Eatwell Guide adherence was higher in white vs non-white participants ( p <0.001), and differed significantly by education level ( p <0.001), with the highest score achieved by participants with a higher education level. Total adherence scores differed by socio-economic status (all p <0.001), with the highest score achieved by the least deprived participants and the lowest score achieved by the most deprived participants. These data demonstrate that Eatwell Guide adherence differs significantly between socio-demographic groups in the UK Biobank. Exploring the consistency of these findings in other cohorts and developing strategies to increase adherence to the Eatwell Guide in groups with low adherence, are future research priorities.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.06.06.25329110
- https://www.medrxiv.org/content/medrxiv/early/2025/06/06/2025.06.06.25329110.full.pdf
- OA Status
- green
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411081032
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4411081032Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.06.06.25329110Digital Object Identifier
- Title
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Socio-demographic variation in adherence to The Eatwell Guide within the UK Biobank prospective cohort studyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-06Full publication date if available
- Authors
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Alex Griffiths, Fiona C. Malcomson, Jamie Matu, Sarah Gregory, Andrea Fairley, Rebecca F. Townsend, Amy Jennings, Nicola Ward, Louisa Ells, Emma Stevenson, Oliver M. ShannonList of authors in order
- Landing page
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https://doi.org/10.1101/2025.06.06.25329110Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2025/06/06/2025.06.06.25329110.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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-
https://www.medrxiv.org/content/medrxiv/early/2025/06/06/2025.06.06.25329110.full.pdfDirect OA link when available
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Biobank, Cohort, Prospective cohort study, Medicine, Geography, Internal medicine, Bioinformatics, BiologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.higher | 113, 155, 182 |
| abstract_inverted_index.level. | 184 |
| abstract_inverted_index.lowest | 207 |
| abstract_inverted_index.public | 19 |
| abstract_inverted_index.recall | 67 |
| abstract_inverted_index.sample | 100 |
| abstract_inverted_index.scores | 58, 81, 143, 187 |
| abstract_inverted_index.status | 91, 191 |
| abstract_inverted_index.tests. | 108 |
| abstract_inverted_index.widely | 13 |
| abstract_inverted_index.(Oxford | 69 |
| abstract_inverted_index.192,825 | 62 |
| abstract_inverted_index.24-hour | 65 |
| abstract_inverted_index.Biobank | 53 |
| abstract_inverted_index.Eatwell | 2, 31, 44, 55, 79, 109, 151, 219, 248 |
| abstract_inverted_index.between | 84, 224 |
| abstract_inverted_index.cohort. | 54 |
| abstract_inverted_index.cohorts | 239 |
| abstract_inverted_index.depicts | 4 |
| abstract_inverted_index.derived | 60 |
| abstract_inverted_index.dietary | 66 |
| abstract_inverted_index.differs | 33, 222 |
| abstract_inverted_index.explore | 41 |
| abstract_inverted_index.graded, | 75 |
| abstract_inverted_index.groups. | 94 |
| abstract_inverted_index.healthy | 8, 149 |
| abstract_inverted_index.highest | 142, 175, 197 |
| abstract_inverted_index.limited | 24 |
| abstract_inverted_index.one-way | 103 |
| abstract_inverted_index.scoring | 77 |
| abstract_inverted_index.system. | 78 |
| abstract_inverted_index.whether | 27 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.Biobank. | 230 |
| abstract_inverted_index.achieved | 144, 177, 199, 209 |
| abstract_inverted_index.analysed | 97 |
| abstract_inverted_index.clinical | 16 |
| abstract_inverted_index.compared | 83, 120 |
| abstract_inverted_index.deprived | 203, 213 |
| abstract_inverted_index.differed | 165, 188 |
| abstract_inverted_index.evidence | 25 |
| abstract_inverted_index.findings | 236 |
| abstract_inverted_index.increase | 244 |
| abstract_inverted_index.patterns | 42 |
| abstract_inverted_index.post-hoc | 107 |
| abstract_inverted_index.practice | 17 |
| abstract_inverted_index.research | 257 |
| abstract_inverted_index.t-tests, | 101 |
| abstract_inverted_index.younger, | 117 |
| abstract_inverted_index.Exploring | 231 |
| abstract_inverted_index.adherence | 28, 46, 57, 111, 136, 153, 186, 221, 245 |
| abstract_inverted_index.different | 85 |
| abstract_inverted_index.education | 93, 168, 183 |
| abstract_inverted_index.non-white | 159 |
| abstract_inverted_index.settings. | 21 |
| abstract_inverted_index.adherence, | 254 |
| abstract_inverted_index.developing | 241 |
| abstract_inverted_index.ethnicity, | 89 |
| abstract_inverted_index.food-based | 76 |
| abstract_inverted_index.quantified | 72 |
| abstract_inverted_index.strategies | 242 |
| abstract_inverted_index.<0.001), | 139, 163, 172, 194 |
| abstract_inverted_index.<0.001). | 126 |
| abstract_inverted_index.consistency | 233 |
| abstract_inverted_index.demonstrate | 217 |
| abstract_inverted_index.independent | 99 |
| abstract_inverted_index.individuals | 63 |
| abstract_inverted_index.priorities. | 258 |
| abstract_inverted_index.participants | 123, 160, 179, 204 |
| abstract_inverted_index.participants. | 214 |
| abstract_inverted_index.significantly | 166, 223 |
| abstract_inverted_index.socioeconomic | 90 |
| abstract_inverted_index.Government’s | 7 |
| abstract_inverted_index.socio-economic | 190 |
| abstract_inverted_index.recommendations | 10 |
| abstract_inverted_index.characteristics. | 36 |
| abstract_inverted_index.socio-demographic | 35, 48, 225 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.27790985 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |