| Title: | The Association between the Substitution of Red Meat with Legumes and the Risk of Primary Liver Cancer in the UK Biobank: A Cohort Study |
| Journal: | Nutrients |
| Published: | 23 Jul 2024 |
| DOI: | https://doi.org/10.3390/nu16152383 |
Publication 12788
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Abstract
Primary liver cancer is globally on the rise, partially due to poor diets and sedentary lifestyles. Shifting to more plant-based diets may lower the risk. We aimed to estimate the effect of replacing total red meat, unprocessed red meat and processed red meat with legumes on primary liver cancer in a free-living population. We analyzed data from 126,744 UK Biobank participants who completed ≥ two 24 h diet recalls. Baseline characteristics were collected from the initial assessment visit. Information on liver cancer diagnoses was collected via external linkage to inpatient hospital episodes or central cancer registries. Cox proportional hazards regression models were used to estimate the substitution of 15 g/day of legumes with 15 g/day of total red meat, unprocessed red meat or processed red meat on liver cancer risk, using the leave-one-out food substitution model. During a median follow-up time of 11.1 years, 173 participants developed liver cancer. In the fully adjusted models, no association was observed when substituting 15 g/day of legumes with total red meat (HR: 1.02 (95% CI 0.96-1.08)), unprocessed red meat (HR: 1.00 (95% CI 0.94-1.06)) or processed red meat (HR: 1.09 (95% CI 0.99-1.21)). Overall, little evidence of an association between replacing red meat with legumes and liver cancer was observed. Further research in other study populations with longer follow-up time is warranted.</p>
16 Keywords
- Adult
- Aged
- Cohort Studies
- Diet
- Diet, Vegetarian
- Fabaceae
- Female
- Humans
- Liver Neoplasms
- Male
- Middle Aged
- Proportional Hazards Models
- Red Meat
- Risk Factors
- UK Biobank
- United Kingdom
5 Authors
- Niels Bock
- Fie Langmann
- Luke W. Johnston
- Daniel B. Ibsen
- Christina C. Dahm
1 Application
| Application ID | Title |
|---|---|
| 81520 | Identifying preventable risk factors and potential drug-targets in diabetes and associated diseases |
Enabling scientific discoveries that improve human health