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Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants
Open accessAbstract
Background There is debate over whether the glycaemic index of foods relates to chronic disease. We aimed to assess the associations between glycaemic index (GI) and glycaemic load (GL) and type 2 diabetes, cardiovascular disease, diabetes-related cancers, and all-cause mortality.Methods We did a meta-analysis of large cohorts (≥100 000 participants) identified from the Richard Doll Consortium. We searched the Cochrane Library, MEDLINE, PubMed, Embase, Web of Science, and Scopus for cohorts that prospectively examined associations between GI or GL and chronic disease outcomes published from database inception to Aug 4, 2023. Full-article review and extraction of summary estimates data were conducted by three independent reviewers. Primary outcomes were incident type 2 diabetes, total cardiovascular disease (including mortality), diabetes-related cancers (ie, bladder, breast, colorectal, endometrial, hepatic, pancreatic, and non-Hodgkin lymphoma), and all-cause mortality. We assessed comparisons between the lowest and highest quantiles of GI and GL, adjusting for dietary factors, and pooling their most adjusted relative risk (RR) estimates using a fixed-effects model. We also assessed associations between diets high in fibre and whole grains and the four main outcomes. The study protocol is registered with PROSPERO, CRD42023394689.Findings From ten prospective large cohorts (six from the USA, one from Europe, two from Asia, and one international), we identified a total of 48 studies reporting associations between GI or GL and the outcomes of interest: 34 (71%) on various cancers, nine (19%) on cardiovascular disease, five (10%) on type 2 diabetes, and three (6%) on all-cause mortality. Consumption of high GI foods was associated with an increased incidence of type 2 diabetes (RR 1·27 [95% CI 1·21-1·34]; p<0·0001), total cardiovascular disease (1·15 [1·11-1·19]; p<0·0001), diabetes-related cancer (1·05 [1·02-1·08]; p=0·0010), and all-cause mortality (1·08 [1·05-1·12]; p<0·0001). Similar associations were seen between high GL and diabetes (RR 1·15 [95% CI 1·09-1·21]; p<0·0001) and total cardiovascular disease (1·15 [1·10-1·20]; p<0·0001). Associations between diets high in fibre and whole grains and the four main outcomes were similar to those for low GI diets.Interpretation Dietary recommendations to reduce GI and GL could have effects on health outcomes that are similar to outcomes of recommendations to increase intake of fibre and whole grain.Funding Banting and Best and the Karuna Foundation.
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Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
(2014) · Medical Entomology and Zoology · Cited by 17,633
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
GRADE guidelines: 3. Rating the quality of evidence
Balshem, H., Helfand, M., Schünemann, H. J., Oxman, A. D., Kunz, R., Brozek, J., Vist, G. E., Falck-Ytter, Y., Meerpohl, J., & Norris, S. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.07.015 · Cited by 8,285
Sensitivity analysis in observational research: Introducing the E-value
VanderWeele, T. J., & Ding, P. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2607 · Cited by 6,350
Oxidative stress, inflammation, and cancer: How are they linked?
Reuter, S., Gupta, S. C., Chaturvedi, M. M., & Aggarwal, B. B. (2010) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2010.09.006 · Cited by 5,441
Glycemic index of foods: a physiological basis for carbohydrate exchange
Jenkins, D. J., Wolever, T. M., Taylor, R. H., Barker, H., Fielden, H., Baldwin, J. M., Bowling, A. C., Newman, H. C., Jenkins, A. L., & Goff, D. V. (1981) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/34.3.362 · Cited by 3,857
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Metadata
- Authors
- Jenkins, D. J. A., Willett, W. C., Yusuf, S., Hu, F. B., Glenn, A. J., Liu, S., Mente, A., Miller, V., Bangdiwala, S. I., Gerstein, H. C., Sieri, S., Ferrari, P., Patel, A. V., McCullough, M. L., Le Marchand, L., Freedman, N. D., Loftfield, E., Sinha, R., Shu, X.-O., Touvier, M., Sawada, N., Tsugane, S., van den Brandt, P. A., Shuval, K., Khan, T. A., Paquette, M., Sahye-Pudaruth, S., Patel, D., Siu, T. F. Y., Srichaikul, K., Kendall, C. W. C., Sievenpiper, J. L., Balachandran, B., Zurbau, A., Wang, X., Liang, F., & Yang, W.
- Affiliations
- St. Michael's Hospital (CA)
- Harvard University (US)
- Population Health Research Institute (CA)
- Brigham and Women's Hospital (US)
- Brown University (US)
- Hamilton Health Sciences (CA)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Centre international de recherche sur le cancer (FR)
- American Cancer Society (US)
- National Institutes of Health (US)
- Vanderbilt University Medical Center (US)
- Conservatoire National des Arts et Métiers (FR)
- National Cancer Center Institute for Cancer Control (JP)
- National Cancer Centre Japan (JP)
- Cooper Institute (US)
- University of Toronto (CA)
- Corresponding author
- Jenkins, David J A
- ORCID
- Jenkins, David J A
- Willett, Walter C
- Yusuf, Salim
- Hu, Frank B
- Glenn, Andrea J
- Liu, Simin
- Mente, Andrew
- Miller, Victoria
- Bangdiwala, Shrikant I
- Gerstein, Hertzel C
- Sieri, Sabina
- Ferrari, Pietro
- Patel, Alpa V
- McCullough, Marjorie L
- Freedman, Neal D
- Loftfield, Erikka
- Sinha, Rashmi
- Shu, Xiao-Ou
- Touvier, Mathilde
- Sawada, Norie
- Tsugane, Shoichiro
- Shuval, Kerem
- Khan, Tauseef Ahmad
- Paquette, Melanie
- Patel, Darshna
- Kendall, Cyril W C
- Sievenpiper, John L
- Zurbau, Andreea
- Wang, Xunan
- Venue
- The Lancet Diabetes & Endocrinology
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 12
- Issue
- 2
- Pages
- 107-118
- ISSN
- 2213-8587 (ISSN-L)
- OpenAlex
- W4391155287
- Cited by
- 117
- References
- 110
- Citations by year
- 2026: 42 · 2025: 50 · 2024: 25
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Lancet Diabetes & Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- University of Toronto Temerty Faculty of Medicine
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- glycemic index, glycemic load, type 2 diabetes, cardiovascular disease, all-cause mortality, dietary fiber, whole grains, chronic disease risk, prospective cohort, diet and health outcomes, cardiovascular mortality, diabetes mortality, non-Hodgkin lymphoma, colorectal cancer, pancreatic cancer, breast cancer, bladder cancer
- MeSH terms
- Glycemic Load, Cardiovascular Diseases, Chronic Disease, Diabetes Mellitus, Type 2, Diet, Dietary Carbohydrates, Humans, Neoplasms, Prospective Studies, Risk Factors, Glycemic Index
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