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Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study

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Abstract

Purpose

To explore the joint association of dietary patterns and adiposity with colorectal cancer (CRC), and whether adiposity mediates the relationship between dietary patterns and CRC risk, which could provide deeper insights into the underlying pathogenesis of CRC.

Methods

The data of 307,023 participants recruited between 2006 and 2010 were extracted from the UK Biobank study. Healthy diet scores were calculated based on self-reported dietary data at baseline, and participants were categorized into three groups, namely, low, intermediate, and high diet score groups. Cox regression models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the effects of the healthy diet score on CRC incidence, adjusting for various covariates. Furthermore, the mediation roles of obesity and central obesity between the healthy diet score and CRC risk were assessed using a counterfactual causal analysis based on Cox regression model. Additionally, joint association between dietary patterns and adiposity on CRC risks was assessed on the additive and multiplicative scales.

Results

Over a median 6.2-year follow-up, 3,276 participants developed CRC. After adjusting for sociodemographic and lifestyle factors, a lower risk of CRC incidence was found for participants with intermediate (HR = 0.83, 95% CI: 0.72 to 0.95) and high diet scores (HR = 0.73, 95% CI: 0.62 to 0.87) compared to those with low diet scores. When compared with the low diet score group, obesity accounted for 4.13% and 7.93% of the total CRC effect in the intermediate and high diet score groups, respectively, while central obesity contributed to 3.68% and 10.02% of the total CRC risk in the intermediate and high diet score groups, respectively. The mediating effect of adiposity on CRC risk was significant in men but not in women. Concurrent unhealthy diet and adiposity multiplied CRC risk.

Conclusion

Adiposity-mediated effects were limited in the link between dietary patterns and CRC incidence, implying that solely addressing adiposity may not sufficiently reduce CRC risk. Interventions, such as improving dietary quality in people with adiposity or promoting weight control in those with unhealthy eating habits, may provide an effective strategy to reduce CRC risk.

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Data availability

Data can be requested from the UK Biobank (http://www.ukbiobank.ac.uk).

References

  1. Sung H, Ferlay J, Siegel RL et al (2021) Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71:209–249. https://doi.org/10.3322/caac.21660

    Article  CAS  PubMed  Google Scholar 

  2. Xi Y, Xu P (2021) Global colorectal cancer burden in 2020 and projections to 2040. Transl Oncol 14:101174. https://doi.org/10.1016/j.tranon.2021.101174

    Article  PubMed  PubMed Central  Google Scholar 

  3. GBD 2019 Colorectal Cancer Collaborators (2022) Global, regional, and national burden of colorectal cancer and its risk factors, 1990–2019: a systematic analysis for the global burden of Disease Study 2019. Lancet Gastroenterol Hepatol 7:627–647. https://doi.org/10.1016/S2468-1253(22)00044-9

    Article  Google Scholar 

  4. World Cancer Research Fund/American Institute for Cancer Research (2018) Continuous Update Project Expert Report 2018. Meat, fish and dairy products and the risk of cancer. Available at dietandcancerreport.org

  5. World Cancer Research Fund/American Institute for Cancer Research (2018) Continuous Update Project Expert Report 2018. Diet, nutrition, physical activity, and colorectal Cancer. Available at dietandcancerreport.org

  6. Veettil SK, Wong TY, Loo YS et al (2021) Role of Diet in Colorectal Cancer incidence: Umbrella Review of Meta-analyses of prospective observational studies. JAMA Netw Open 4:e2037341. https://doi.org/10.1001/jamanetworkopen.2020.37341

    Article  PubMed  PubMed Central  Google Scholar 

  7. Kelly OJ, Gilman JC, Ilich JZ (2018) Utilizing Dietary Micronutrient Ratios in Nutritional Research May be more informative than focusing on single nutrients. Nutrients 10:107. https://doi.org/10.3390/nu10010107

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Zhao J, Li Z, Gao Q et al (2021) A review of statistical methods for dietary pattern analysis. Nutr J 20:37. https://doi.org/10.1186/s12937-021-00692-7

    Article  PubMed  PubMed Central  Google Scholar 

  9. Panagiotakos DB, Pitsavos C, Stefanadis C (2006) Dietary patterns: a Mediterranean diet score and its relation to clinical and biological markers of cardiovascular disease risk. Nutr Metab Cardiovasc Dis 16:559–568. https://doi.org/10.1016/j.numecd.2005.08.006

    Article  PubMed  Google Scholar 

  10. Mozaffarian D (2016) Dietary and Policy priorities for Cardiovascular Disease, Diabetes, and obesity – a Comprehensive Review. Circulation 133:187–225. https://doi.org/10.1161/CIRCULATIONAHA.115.018585

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lourida I, Hannon E, Littlejohns TJ et al (2019) Association of Lifestyle and genetic risk with incidence of Dementia. JAMA 322:430. https://doi.org/10.1001/jama.2019.9879

    Article  PubMed  PubMed Central  Google Scholar 

  12. Boonpor J, Petermann-Rocha F, Parra‐Soto S et al (2022) Types of diet, obesity, and incident type 2 diabetes: findings from the UK Biobank prospective cohort study. Diabetes Obes Metab 24:1351–1359. https://doi.org/10.1111/dom.14711

    Article  PubMed  PubMed Central  Google Scholar 

  13. Assmann KE, Ruhunuhewa I, Adjibade M et al (2018) The mediating role of overweight and obesity in the Prospective Association between overall Dietary Quality and healthy aging. Nutrients 10:515. https://doi.org/10.3390/nu10040515

    Article  PubMed  PubMed Central  Google Scholar 

  14. Collins R (2012) What makes UK Biobank special? Lancet Lond Engl 379:1173–1174. https://doi.org/10.1016/S0140-6736(12)60404-8

    Article  Google Scholar 

  15. Sudlow C, Gallacher J, Allen N et al (2015) UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 12:e1001779. https://doi.org/10.1371/journal.pmed.1001779

    Article  PubMed  PubMed Central  Google Scholar 

  16. Palmer LJ (2007) UK Biobank: bank on it. Lancet 369:1980–1982. https://doi.org/10.1016/S0140-6736(07)60924-6

    Article  PubMed  Google Scholar 

  17. Bradbury KE, Young HJ, Guo W, Key TJ (2018) Dietary assessment in UK Biobank: an evaluation of the performance of the touchscreen dietary questionnaire. J Nutr Sci 7:e6. https://doi.org/10.1017/jns.2017.66

    Article  PubMed  PubMed Central  Google Scholar 

  18. Schulz C-A, Weinhold L, Schmid M et al (2023) Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank. Eur J Nutr 62:511–521. https://doi.org/10.1007/s00394-022-02976-y

    Article  PubMed  Google Scholar 

  19. Bradbury KE, Murphy N, Key TJ (2020) Diet and colorectal cancer in UK Biobank: a prospective study. Int J Epidemiol 49:246–258. https://doi.org/10.1093/ije/dyz064

    Article  PubMed  Google Scholar 

  20. Parra-Soto S, Ahumada D, Petermann-Rocha F et al (2022) Association of meat, vegetarian, pescatarian and fish-poultry diets with risk of 19 cancer sites and all cancer: findings from the UK Biobank prospective cohort study and meta-analysis. BMC Med 20:79. https://doi.org/10.1186/s12916-022-02257-9

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kunzmann AT, Mallon KP, Hunter RF et al (2018) Physical activity, sedentary behaviour and risk of oesophago-gastric cancer: a prospective cohort study within UK Biobank. United Eur Gastroenterol J 6:1144–1154. https://doi.org/10.1177/2050640618783558

    Article  Google Scholar 

  22. Heo J-W, Kim S-E, Sung M-K (2021) Sex differences in the incidence of obesity-related gastrointestinal Cancer. Int J Mol Sci 22:1253. https://doi.org/10.3390/ijms22031253

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Armelao F, de Pretis G (2014) Familial colorectal cancer: a review. World J Gastroenterol WJG 20:9292–9298. https://doi.org/10.3748/wjg.v20.i28.9292

    Article  PubMed  Google Scholar 

  24. Rijnhart JJM, Valente MJ, Smyth HL, MacKinnon DP (2023) Statistical Mediation Analysis for Models with a Binary Mediator and a Binary Outcome: the Differences between Causal and Traditional Mediation Analysis. Prev Sci 24:408–418. https://doi.org/10.1007/s11121-021-01308-6

    Article  PubMed  Google Scholar 

  25. Huang Y-T, Yang H-I (2017) Causal Mediation Analysis of Survival Outcome with multiple mediators. Epidemiology 28:370–378. https://doi.org/10.1097/EDE.0000000000000651

    Article  PubMed  PubMed Central  Google Scholar 

  26. VanderWeele TJ (2011) Causal mediation analysis with survival data. Epidemiol Camb Mass 22:582–585. https://doi.org/10.1097/EDE.0b013e31821db37e

    Article  Google Scholar 

  27. Andrews RM, Didelez V (2021) Insights into the cross-world Independence Assumption of Causal Mediation Analysis. Epidemiol Camb Mass 32:209–219. https://doi.org/10.1097/EDE.0000000000001313

    Article  Google Scholar 

  28. Xu T, Ye X, Lu X et al (2023) Association between solid cooking fuel and cognitive decline: three nationwide cohort studies in middle-aged and older population. Environ Int 173:107803. https://doi.org/10.1016/j.envint.2023.107803

    Article  PubMed  Google Scholar 

  29. Zhang Y-B, Chen C, Pan X-F et al (2021) Associations of healthy lifestyle and socioeconomic status with mortality and incident cardiovascular disease: two prospective cohort studies. https://doi.org/10.1136/bmj.n604. BMJ n604

  30. Yang J, Wei H, Zhou Y et al (2022) High-Fat Diet promotes colorectal tumorigenesis through modulating gut microbiota and metabolites. Gastroenterology 162:135–149e2. https://doi.org/10.1053/j.gastro.2021.08.041

    Article  CAS  PubMed  Google Scholar 

  31. Wu Z-Y, Chen J-L, Li H et al (2023) Different types of fruit intake and colorectal cancer risk: a meta-analysis of observational studies. World J Gastroenterol 29:2679–2700. https://doi.org/10.3748/wjg.v29.i17.2679

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Alzate-Yepes T, Pérez-Palacio L, Martínez E, Osorio M (2023) Mechanisms of action of Fruit and Vegetable Phytochemicals in Colorectal Cancer Prevention. Molecules 28:4322. https://doi.org/10.3390/molecules28114322

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Eltweri AM, Thomas AL, Metcalfe M et al (2017) Potential applications of fish oils rich in omega-3 polyunsaturated fatty acids in the management of gastrointestinal cancer. Clin Nutr Edinb Scotl 36:65–78. https://doi.org/10.1016/j.clnu.2016.01.007

    Article  CAS  Google Scholar 

  34. Khan NA, Hussain M, ur Rahman A et al (2015) Dietary practices, addictive Behavior and Bowel habits and Risk of Early Onset Colorectal Cancer: a Case Control Study. Asian Pac J Cancer Prev APJCP 16:7967–7973. https://doi.org/10.7314/apjcp.2015.16.17.7967

    Article  PubMed  Google Scholar 

  35. Keum N, Giovannucci E (2019) Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies. Nat Rev Gastroenterol Hepatol 16:713–732. https://doi.org/10.1038/s41575-019-0189-8

    Article  PubMed  Google Scholar 

  36. Zhang X-F, Wang X-K, Tang Y-J et al (2020) Association of whole grains intake and the risk of digestive tract cancer: a systematic review and meta-analysis. Nutr J 19:52. https://doi.org/10.1186/s12937-020-00556-6

    Article  PubMed  PubMed Central  Google Scholar 

  37. Shirakami Y, Ohnishi M, Sakai H et al (2017) Prevention of Colorectal Cancer by targeting obesity-related disorders and inflammation. Int J Mol Sci 18:908. https://doi.org/10.3390/ijms18050908

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Dong Y, Zhou J, Zhu Y et al (2017) Abdominal obesity and colorectal cancer risk: systematic review and meta-analysis of prospective studies. Biosci Rep 37:BSR20170945. https://doi.org/10.1042/BSR20170945

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Scazzocchio B, Varì R, Silenzi A et al (2020) Dietary habits affect fatty acid composition of visceral adipose tissue in subjects with colorectal cancer or obesity. Eur J Nutr 59:1463–1472. https://doi.org/10.1007/s00394-019-02003-7

    Article  CAS  PubMed  Google Scholar 

  40. Liu P-H, Wu K, Ng K et al (2019) Association of obesity with risk of early-onset Colorectal Cancer among women. JAMA Oncol 5:37–44. https://doi.org/10.1001/jamaoncol.2018.4280

    Article  PubMed  Google Scholar 

  41. Watling CZ, Schmidt JA, Dunneram Y et al (2022) Risk of cancer in regular and low meat-eaters, fish-eaters, and vegetarians: a prospective analysis of UK Biobank participants. BMC Med 20:73. https://doi.org/10.1186/s12916-022-02256-w

    Article  PubMed  PubMed Central  Google Scholar 

  42. Pischon T, Lahmann PH, Boeing H et al (2006) Body size and risk of colon and rectal cancer in the European prospective investigation into Cancer and Nutrition (EPIC). J Natl Cancer Inst 98:920–931. https://doi.org/10.1093/jnci/djj246

    Article  PubMed  Google Scholar 

  43. Larsson SC, Wolk A (2007) Obesity and colon and rectal cancer risk: a meta-analysis of prospective studies. Am J Clin Nutr 86:556–565. https://doi.org/10.1093/ajcn/86.3.556

    Article  CAS  PubMed  Google Scholar 

  44. Li W, Liu T, Qian L et al (2022) Insulin resistance and inflammation mediate the association of abdominal obesity with colorectal cancer risk. Front Endocrinol 13:983160. https://doi.org/10.3389/fendo.2022.983160

    Article  Google Scholar 

  45. Shafiee NH, Razalli NH, Shahril MR et al (2023) Dietary inflammatory index, obesity, and the incidence of Colorectal Cancer: findings from a hospital-based case-control study in Malaysia. Nutrients 15:982. https://doi.org/10.3390/nu15040982

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. (2019) The global, regional, and national burden of colorectal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the global burden of Disease Study 2017. Lancet Gastroenterol Hepatol 4:913–933. https://doi.org/10.1016/S2468-1253(19)30345-0

  47. Baraibar I, Ros J, Saoudi N et al (2023) Sex and gender perspectives in colorectal cancer. ESMO Open 8:101204. https://doi.org/10.1016/j.esmoop.2023.101204

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Hoffmeister M, Schmitz S, Karmrodt E et al (2010) Male sex and smoking have a larger impact on the prevalence of colorectal neoplasia than family history of colorectal cancer. Clin Gastroenterol Hepatol off Clin Pract J Am Gastroenterol Assoc 8:870–876. https://doi.org/10.1016/j.cgh.2010.07.004

    Article  Google Scholar 

  49. Nam GE, Baek S-J, Choi HB et al (2020) Association between abdominal obesity and Incident Colorectal Cancer: a Nationwide Cohort Study in Korea. Cancers 12:1368. https://doi.org/10.3390/cancers12061368

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. An R, Wilms E, Masclee AAM et al (2018) Age-dependent changes in GI physiology and microbiota: time to reconsider? Gut 67:2213–2222. https://doi.org/10.1136/gutjnl-2017-315542

    Article  CAS  PubMed  Google Scholar 

  51. Wolf AMD, Fontham ETH, Church TR et al (2018) Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin 68:250–281. https://doi.org/10.3322/caac.21457

    Article  PubMed  Google Scholar 

  52. Batty GD, Gale CR, Kivimäki M et al (2020) Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis. BMJ 368:m131. https://doi.org/10.1136/bmj.m131

    Article  PubMed  PubMed Central  Google Scholar 

  53. Galante J, Adamska L, Young A et al (2016) The acceptability of repeat internet-based hybrid diet assessment of previous 24-h dietary intake: administration of the Oxford WebQ in UK Biobank. Br J Nutr 115:681–686. https://doi.org/10.1017/S0007114515004821

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We are grateful to UK Biobank participants.

Funding

This study was funded by the Affiliated Hospital of Guangdong Medical University Clinical Research Program (LCYJ2019B007).

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Authors

Contributions

HJS and YEL were responsible for the article design, data analysis, and writing of the first draft; NDD and WJ were responsible for data extraction, screening, and analysis; ZYM, LXL, and HYL were responsible for data proofreading and interpretation; YSR and HXF were responsible for the production of graphs and charts; HZ and WJY was responsible for the study design and interpretation of the results; HJS and WJY was responsible for reviewing and revising the article. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Zhe Huang or Jiayuan Wu.

Ethics declarations

Ethics approval and consent to participate

The UK Biobank study obtained approval from the Northwest Multicenter Research Ethics Committee on June 17, 2011 (Ref. 11/NW/0382), and all participants provided informed consent by signing a consent document. The UK Biobank data used in this study were accessed under application number 97101.

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Not applicable.

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The authors declare that they have no competing interests.

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Huang, J., Ye, E., Li, X. et al. Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study. Eur J Nutr (2024). https://doi.org/10.1007/s00394-024-03418-7

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