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Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study
Open accessAbstract
Aims/hypothesis A diet rich in meat has been reported to contribute to the risk of type 2 diabetes. The present study aims to investigate the association between meat consumption and incident type 2 diabetes in the EPIC-InterAct study, a large prospective case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Methods During 11.7 years of follow-up, 12,403 incident cases of type 2 diabetes were identified among 340,234 adults from eight European countries. A centre-stratified random subsample of 16,835 individuals was selected in order to perform a case-cohort design. Prentice-weighted Cox regression analyses were used to estimate HR and 95% CI for incident diabetes according to meat consumption.Results Overall, multivariate analyses showed significant positive associations with incident type 2 diabetes for increasing consumption of total meat (50 g increments: HR 1.08; 95% CI 1.05, 1.12), red meat (HR 1.08; 95% CI 1.03, 1.13) and processed meat (HR 1.12; 95% CI 1.05, 1.19), and a borderline positive association with meat iron intake. Effect modifications by sex and class of BMI were observed. In men, the results of the overall analyses were confirmed. In women, the association with total and red meat persisted, although attenuated, while an association with poultry consumption also emerged (HR 1.20; 95% CI 1.07, 1.34). These associations were not evident among obese participants.Conclusions/interpretation This prospective study confirms a positive association between high consumption of total and red meat and incident type 2 diabetes in a large cohort of European adults.
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“Interestingly, both red and processed meats, regardless of fat content, are linked to higher incidence of diabetes, although with approximately double the risk, gram-for-gram, for processed meats than for unprocessed red meats.172, 178”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [178]
In the citing paper
“Large studies evaluating poultry and incident diabetes have shown mixed results including higher risk, no risk, and lower risk.178, 190-195”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [178]
In the citing paper
“While unprocessed red meats and butter may be relatively neutral for CHD, no studies demonstrate appreciable benefits, all meats appear to increase diabetes, and processed meats are strongly linked to CHD (see Meats, above).20, 29, 173, 178”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [178]
In the citing paper
“Potential confounders to be included as covariates were a priori selected based on the literature on the association between red meat intake and diabetes risk (2, 3) and prior investigations in EPIC-Potsdam regarding risk factors of type 2 diabetes (5), dietary patterns (27), and determinants of metabolic profiles (28,29).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [3]
In the citing paper
“Red meat consumption has consistently been associated with a higher risk of type 2 diabetes mellitus in several large cohort studies and summarized by several meta-analyses (1-3).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [3]
In the citing paper
“Still, an elevated diabetes risk was consistently observed for both unprocessed and processed red meat (1-3).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [3]
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Cites
Guh, D. P., Zhang, W., Bansback, N., Amarsi, Z., Birmingham, C. L., & Anis, A. H. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-88 · Cited by 3,855
Systematic review and meta-analysis
Gillies, A. (2019) · CRC Press eBooks · doi:10.1201/9781315377315-19 · Cited by 2,876
Riboli, E., Hunt, K., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U., Hémon, B., Casagrande, C., Vignat, J., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002394 · Cited by 1,866
Micha, R., Wallace, S. K., & Mozaffarian, D. (2010) · Circulation · doi:10.1161/circulationaha.109.924977 · Cited by 1,244
Dietary fat intake and risk of type 2 diabetes in women
Salmerón, J., Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G. A., Rimm, E. B., & Willett, W. C. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.6.1019 · Cited by 818
Pan, A., Sun, Q., Bernstein, A. M., Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.018978 · Cited by 709
Analysis of Case-Cohort Designs
Barlow, W. E., Ichikawa, L., Rosner, D., & Izumi, S. (1999) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(99)00102-x · Cited by 682
Body Iron Stores in Relation to Risk of Type 2 Diabetes in Apparently Healthy Women
Jiang, R. (2004) · JAMA · doi:10.1001/jama.291.6.711 · Cited by 598
The Prevention or Delay of Type 2 Diabetes
American Diabetes Association, & National Institute of Diabetes, D. A. K. D. (2003) · Diabetes Care · doi:10.2337/diacare.26.2007.s62 · Cited by 520
Feskens, E. J. M., Virtanen, S. M., Räsänen, L., Tuomilehto, J. O., Stengård, J., Pekkanen, J., Nissinen, A. M., & Kromhout, D. (1995) · Diabetes Care · doi:10.2337/diacare.18.8.1104 · Cited by 504
N-Nitroso compounds in the diet
Lijinsky, W. (1999) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/s1383-5742(99)00015-0 · Cited by 481
Schulze, M. B., Hoffmann, K., Boeing, H., Linseisen, J., Rohrmann, S., Möhlig, M., Pfeiffer, A. F. H., Spranger, J., Thamer, C., Häring, H., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2089 · Cited by 382
Aune, D., Ursin, G., & Veierød, M. B. (2009) · Diabetologia · doi:10.1007/s00125-009-1481-x · Cited by 376
Slimani, N., Deharveng, G., Unwin, I. D., Southgate, D. A. T., Vignat, J., Skeie, G., Salvini, S., Parpinel, M. T., Møller, A., Ireland-Ripert, J., et al. (2007) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602679 · Cited by 373
Serum Ferritin as a Component of the Insulin Resistance Syndrome
Fernández-Real, J.-M., Ricart-Engel, W., Arroyo, E., Balançá, R., Casamitjana-Abella, R., Cabrero, D., Fernández-Castañer, M., & Soler, J. (1998) · Diabetes Care · doi:10.2337/diacare.21.1.62 · Cited by 328
Hofmann, S. M., Dong, H. H., Li, Z., Cai, W., Altomonte, J., Thung, S. N., Zeng, F., Fisher, E. A. A., & Vlassara, H. (2002) · Diabetes · doi:10.2337/diabetes.51.7.2082 · Cited by 296
Iron nutrition and absorption: Dietary factors which impact iron bioavailability
Monsen, E. R. (1988) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)07902-5 · Cited by 284
Bingham, S. A., Hughes, R., & Cross, A. J. (2002) · Journal of Nutrition · doi:10.1093/jn/132.11.3522s · Cited by 279
Marshall, J. A., Bessesen, D. H., & Hamman, R. F. (1997) · Diabetologia · doi:10.1007/s001250050697 · Cited by 251
Tong, M., Neusner, A. D., Longato, L., Lawton, M., Wands, J. R., & de la Monte, S. M. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-1115 · Cited by 249
Food consumption and the incidence of type II diabetes mellitus
Montonen, J., Järvinen, R., Heliövaara, M., Reunanen, A., Aromaa, A., & Knekt, P. (2005) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602094 · Cited by 237
Kaaks, R. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s15 · Cited by 235
Heidemann, C., Hoffmann, K., Spranger, J., Klipstein‐Grobusch, K., Möhlig, M., Pfeiffer, A. F. H., & Boeing, H. (2005) · Diabetologia · doi:10.1007/s00125-005-1743-1 · Cited by 225
Cook, J. D. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.2.301 · Cited by 218
Parker, D., Weiss, S. T., Troisi, R. J., Cassano, P. A., Vokonas, P., & Landsberg, L. (1993) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/58.2.129 · Cited by 212
Processed meat intake and incidence of Type 2 diabetes in younger and middle-aged women
Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2003) · Diabetologia · doi:10.1007/s00125-003-1220-7 · Cited by 210
The InterAct Consortium (2011) · Diabetologia · doi:10.1007/s00125-011-2182-9 · Cited by 208
Margetts, B. M. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s1 · Cited by 204
Diet and Physical Activity as Determinants of Hyperinsulinemia: The Zutphen Elderly Study
Feskens, E. J. M., Loeber, J. G., & Kromhout, D. (1994) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117257 · Cited by 201
Ellenberg and Rifkinʼs Diabetes Mellitus
Rifkin, H., Porte, D., & Gallon, D. J. (1992) · The Endocrinologist · doi:10.1097/00019616-199203000-00012 · Cited by 195
Maron, D. J., Fair, J. M., & Haskell, W. L. (1991) · Circulation · doi:10.1161/01.cir.84.5.2020 · Cited by 170
Linseisen, J., Kesse‐Guyot, E., Slimani, N., Bueno-de-Mesquita, H. B., Ocké, M., Skeie, G., Kumle, M. H., Iraeta, M. D., Gómez, P. M., Janzon, L., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002402 · Cited by 165
Dietary factors determining diabetes and impaired glucose tolerance
Feskens, E. J. M., Virtanen, S., Räsänen, L., Tuomilehto, J., Stengård, J., Pekkanen, J., Nissinen, A. E. T., & Kromhout, D. (1995) · Diabetes Care · Cited by 148
Kaaks, R., & Ríboli, E. (1997) · International Journal of Epidemiology · Cited by 133
Ψαλτοπούλου, Θ., Ilias, Ι., & Alevizaki, M. (2010) · The Review of Diabetic Studies · doi:10.1900/rds.2010.7.26 · Cited by 132
Halkjær, J., Olsen, A., Bjerregaard, L. J., Deharveng, G., Tjønneland, A. M., Welch, A. A., Crowe, F. L., Wirfält, E., Hellstrom, V., Niravong, M., et al. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2009.73 · Cited by 122
Low iron status and enhanced insulin sensitivity in lacto-ovo vegetarians
Hua, N. W., Stoohs, R. A., & Facchini, F. S. (2001) · British Journal of Nutrition · doi:10.1079/bjn2001421 · Cited by 110
Locality deprivation and Type 2 diabetes incidence: A local test of relative inequalities
Cox, M., Boyle, P. J., Davey, P. G., Feng, Z., & Morris, A. D. (2007) · Social Science & Medicine · doi:10.1016/j.socscimed.2007.05.043 · Cited by 106
Evaluation of Methods Used in Meat Iron Analysis and Iron Content of Raw and Cooked Meats
Carpenter, C. E., & Clark, E. M. (1995) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf00055a014 · Cited by 95
Meat Consumption and Its Association With C-Reactive Protein and Incident Type 2 Diabetes
Woudenbergh, G. J. G.-V., Kuijsten, A., Tigcheler, B., Sijbrands, E. J. G., van Rooij, F. J. A., Albert Hofman, D., Witteman, J. C. M., & Feskens, E. J. M. (2012) · Diabetes Care · doi:10.2337/dc11-1899 · Cited by 90
The aetiology of type 1 diabetes: an epidemiological perspective
Dahlquist, G. (1998) · Acta Paediatrica · doi:10.1111/j.1651-2227.1998.tb01244.x · Cited by 89
Meat consumption and risk of type 2 diabetes: the Multiethnic Cohort
Steinbrecher, A., Erber, E., Grandinetti, A., Kolonel, L., & Maskarinec, G. (2011) · Public Health Nutrition · doi:10.1017/s1368980010002004 · Cited by 81
van Bakel, M. M. E., Slimani, N., Feskens, E. J. M., Du, H., Beulens, J. W. J., van der Schouw, Y. T., Brighenti, F., Halkjær, J., Cust, A. E., Ferrari, P., et al. (2009) · Journal of Nutrition · doi:10.3945/jn.108.097121 · Cited by 76
The association of meat intake and the risk of type 2 diabetes may be modified by body weight
Villegas, R., Shu, X. O., Gao, Y.-T., Yang, G., Cai, H., Li, H., & Zheng, W. (2006) · International Journal of Medical Sciences · doi:10.7150/ijms.3.152 · Cited by 73
New Model of Progressive Non-Insulin-Dependent Diabetes Mellitus in Mice Induced by Streptozotocin.
Ito, M., Kondo, Y., Nakatani, A., & Naruse, A. (1999) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.22.988 · Cited by 71
Männistö, S., Kontto, J., Kataja-Tuomola, M., Albanes, D., & Virtamo, J. (2010) · British Journal of Nutrition · doi:10.1017/s0007114510000073 · Cited by 65
Processed and Unprocessed Red Meat Consumption and Incident Type 2 Diabetes Among French Women
Lajous, M., Tondeur, L., Fagherazzi, G., de Lauzon‐Guillain, B., Boutron‐Ruault, M., & Clavel‐Chapelon, F. (2011) · Diabetes Care · doi:10.2337/dc11-1518 · Cited by 61
Pre-diabetes essential action: a European perspective
Valensi, P. E., Schwarz, E., Hall, M. S., Felton, A.-M., Maldonato, A., & Mathieu, C. (2005) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70239-2 · Cited by 57
Peppa, Μ., Goldberg, T., Cai, W., Rayfield, E. J., & Vlassara, H. (2002) · Diabetes Care · doi:10.2337/diacare.25.10.1898 · Cited by 57
Mortality in the Baltimore union poultry cohort: non-malignant diseases
Johnson, E. S., Yau, L. C., Zhou, Y., Singh, K. P., & Ndetan, H. T. (2009) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-009-0478-6 · Cited by 11
Non-Cancer Mortality in Supermarket Meat Workers
Johnson, E. S., & Zhou, Y. (2007) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e3180cac1f1 · Cited by 6
Cited by
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Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216
“Although unprocessed red meats and butter may be relatively neutral for CHD, no studies demonstrate appreciable benefits, all meats appear to increase diabetes mellitus, and processed meats are strongly linked to CHD (see Meats, above).(20,29,173,178) This is the mistake of recent media reports: conflating complexitie…”
Forouhi, N. G., & Wareham, N. J. (2014) · Medicine · doi:10.1016/j.mpmed.2014.09.007 · Cited by 778
Neuenschwander, M., Ballon, A., Weber, K. S., Norat, T., Aune, D., Schwingshackl, L., & Schlesinger, S. (2019) · BMJ · doi:10.1136/bmj.l2368 · Cited by 531
Abete, I., Romaguera, D., Vieira, A. R., Lopez de Munain, A., & Norat, T. (2014) · British Journal of Nutrition · doi:10.1017/s000711451400124x · Cited by 448
A plant-based diet for the prevention and treatment of type 2 diabetes.
(2017) · Europe PMC (PubMed Central) · doi:10.11909/j.issn.1671-5411.2017.05.009 · Cited by 320
Metadata
- Authors
- The InterAct Consortium
- Venue
- Diabetologia
- Published
- 2012-09-16
- Volume
- 56
- Issue
- 1
- Pages
- 47-59
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2394915398
- Cited by
- 154
- References
- 51
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 11 · 2023: 9 · 2022: 14 · 2021: 16 · 2020: 12 · 2019: 13 · 2018: 13 · 2017: 13 · 2016: 9 · 2015: 14 · 2014: 11 · 2013: 12
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Cancer Research UK
- National Institute for Health and Care Research (NF-SI-0512-10114)
- Medical Research Council (MC_UU_12015/1)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- type 2 diabetes, meat consumption, red meat, processed meat, poultry, iron intake, sex differences, obesity, diabetes risk factors
- MeSH terms
- Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Diet, Europe, Female, Follow-Up Studies, Humans, Male, Meat, Meat Products, Middle Aged, Prospective Studies, Risk, Sex Characteristics, Cohort Studies, Incidence, Case-Control Studies, Iron, Dietary, Young Adult
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