The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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]
Experimental — accuracy not yet measuredIn the citing paper
“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
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
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
Haring, B., Selvin, E., Liang, M., Coresh, J., Grams, M. E., Petruski-Ivleva, N., Steffen, L. M., & Rebholz, C. M. (2017) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2016.11.004 · Cited by 254
Dietary protein intake and risk of type 2 diabetes in US men and women
Malik, V. S., Li, Y., Tobias, D. K., Pan, A., & Hu, F. B. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv268 · Cited by 251
Tamayo, T., Rosenbauer, J., Wild, S. H., Spijkerman, A. M. W., Baan, C. A., Forouhi, N. G., Herder, C., & Rathmann, W. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.007 · Cited by 268
Meat consumption, diabetes, and its complications
Feskens, E. J. M., Sluik, D., & van Woudenbergh, G. J. (2013) · Current Diabetes Reports · doi:10.1007/s11892-013-0365-0 · Cited by 248
Associations between red meat intake and biomarkers of inflammation and glucose metabolism in women
Ley, S. H., Sun, Q., Willett, W. C., Eliassen, A. H., Wu, K., Pan, A., Grodstein, F., & Hu, F. B. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.075663 · Cited by 248
Pan, A., Sun, Q., Bernstein, A. M., Manson, J. E., Willett, W. C., & Hu, F. B. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.6633 · Cited by 230
Red meat consumption, cardiovascular diseases, and diabetes: a systematic review and meta-analysis
Shi, W., Huang, X., Schooling, C. M., & Zhao, J. V. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad336 · Cited by 245
Zheng, Y., Li, Y., Satija, A., Pan, A., Sotos-Prieto, M., Rimm, E., Willett, W. C., & Hu, F. B. (2019) · BMJ · doi:10.1136/bmj.l2110 · Cited by 211
Association between microbiota-dependent metabolite trimethylamine-N-oxide and type 2 diabetes
Shan, Z., Sun, T., Huang, H., Chen, S., Chen, L., Luo, C., Yang, W., Yang, X., Yao, P., Cheng, J., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.157107 · Cited by 210
Boada, L. D., Henríquez‐Hernández, L. A., & Luzardo, O. P. (2016) · Food and Chemical Toxicology · doi:10.1016/j.fct.2016.04.008 · Cited by 205
Kim, Y., Keogh, J., & Clifton, P. (2015) · Metabolism · doi:10.1016/j.metabol.2015.03.008 · Cited by 181
van Nielen, M., Feskens, E. J. M., Mensink, M., Sluijs, I., Molina‐Montes, E., Amiano, P., Ardanáz, E., Balkau, B., Beulens, J. W. J., Boeing, H., et al. (2014) · Diabetes Care · doi:10.2337/dc13-2627 · Cited by 183
Health effects associated with consumption of unprocessed red meat: a Burden of Proof study
Lescinsky, H., Afshin, A., Ashbaugh, C., Bisignano, C., Brauer, M. D., Ferrara, G., Hay, S. I., He, J., Iannucci, V. C., Marczak, L. B., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01968-z · Cited by 195
Toumpanakis, A., Turnbull, T., & Alba-Barba, I. (2018) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2018-000534 · Cited by 170
Delpino, F. M., Figueiredo, L. M., Bielemann, R. M., da Silva, B. G. C., dos Santos, F. S., Mintem, G. C., Flores, T. R., Arcêncio, R. A., & Nunes, B. P. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab247 · Cited by 194
Type of vegetarian diet, obesity and diabetes in adult Indian population
Agrawal, S., Millett, C. J., Dhillon, P. K., Subramanian, S. V., & Ebrahim, S. B. J. (2014) · Nutrition Journal · doi:10.1186/1475-2891-13-89 · Cited by 162
Segovia‐Siapco, G., & Sabaté, J. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0310-z · Cited by 147
Gadgil, M. D., Anderson, C. A. M., Kandula, N. R., & Kanaya, A. M. (2015) · Journal of Nutrition · doi:10.3945/jn.114.207753 · Cited by 134
Neuenschwander, M., Stadelmaier, J., Eble, J., Grummich, K., Szczerba, E., Kiesswetter, E., Schlesinger, S., & Schwingshackl, L. (2023) · BMC Medicine · doi:10.1186/s12916-023-03093-1 · Cited by 136
Wittenbecher, C., Mühlenbruch, K., Kröger, J., Jacobs, S., Kuxhaus, O., Floegel, A., Fritsche, A., Pischon, T., Prehn, C., Adamski, J., et al. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.099150 · Cited by 120
Comerford, K. B., & Pasin, G. (2016) · Nutrients · doi:10.3390/nu8080446 · Cited by 111
Impact of Plant-Based Meat Alternatives on the Gut Microbiota of Consumers: A Real-World Study
Toribio-Mateas, M. A., Bester, A., & Klimenko, N. S. (2021) · Foods · doi:10.3390/foods10092040 · Cited by 118
Processed meat: the real villain?
Rohrmann, S., & Linseisen, J. (2015) · Proceedings of The Nutrition Society · doi:10.1017/s0029665115004255 · Cited by 109
Gu, X., Drouin‐Chartier, J., Sacks, F. M., Hu, F. B., ROSNER, B. A., & Willett, W. C. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.08.021 · Cited by 105
Fretts, A. M., Follis, J. L., Nettleton, J. A., Lemaître, R. N., Ngwa, J. S., Wojczynski, M. K., Kalafati, I. P., Varga, T. V., Wood, A. C., Houston, D. K., et al. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.101238 · Cited by 97
Giromini, C., & Givens, D. I. (2022) · Foods · doi:10.3390/foods11142063 · Cited by 104
Taiwanese Vegetarians and Omnivores: Dietary Composition, Prevalence of Diabetes and IFG
Chiu, T. H. T., Huang, H., Chiu, Y., Pan, W.-H., Kao, H., Chiu, J., Lin, M., & Lin, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088547 · Cited by 91
Integrative Analysis Toward Different Glucose Tolerance-Related Gut Microbiota and Diet
Nuli, R., Cai, J., Kadeer, A., Zhang, Y., & Mohemaiti, P. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00295 · Cited by 86
Jardine, M., Kahleová, H., Levin, S., Ali, Z., Trapp, C., & Barnard, N. D. (2021) · Advances in Nutrition · doi:10.1093/advances/nmab063 · Cited by 88
Fan, M., Li, Y., Wang, C., Mao, Z., Zhou, W., Zhang, L., Yang, X., Cui, S., & Li, L. (2019) · Nutrients · doi:10.3390/nu11112783 · Cited by 81
Prada, M., Wittenbecher, C., Eichelmann, F., Wernitz, A., Drouin‐Chartier, J., & Schulze, M. B. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.06.006 · Cited by 76
Consumption of processed red meat and its impact on human health: A review
Libera, J., Iłowiecka, K., & Stasiak, D. M. (2021) · International Journal of Food Science & Technology · doi:10.1111/ijfs.15270 · Cited by 80
Meat, Dietary Heme Iron, and Risk of Type 2 Diabetes Mellitus
Talaei, M., Wang, Y., Yuan, J., Pan, A., & Koh, W. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx156 · Cited by 76
Camilleri, G. M., Verger, E. O., Huneau, J., Carpentier, F., Dubuisson, C., & Mariotti, F. (2013) · Journal of Nutrition · doi:10.3945/jn.113.177113 · Cited by 78
White, D., & Collinson, A. (2013) · Advances in Nutrition · doi:10.3945/an.113.003681 · Cited by 70
Shu, L., Shen, X., Li, C., Zhang, X., & Zheng, P.-F. (2017) · Nutrition Journal · doi:10.1186/s12937-017-0303-0 · Cited by 66
Zhao, L., Zhang, Q., Liu, X., Wu, H., Zheng, J.-L., & Xiang, Y. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1737-7 · Cited by 67
Type 2 diabetes burden among migrants in Europe: unravelling the causal pathways
Agyemang, C. O., van der Linden, E. L., & Bennet, L. (2021) · Diabetologia · doi:10.1007/s00125-021-05586-1 · Cited by 69
Kurotani, K., Nanri, A., Goto, A., Mizoue, T., Noda, M., Oba, S., Kato, M., Matsushita, Y., Inoue, M., Tsugane, S., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114513001128 · Cited by 62
Maghsoudi, Z., Ghiasvand, R., & Salehi‐Abargouei, A. (2015) · Public Health Nutrition · doi:10.1017/s1368980015001251 · Cited by 61
A summary of meat intakes and health burdens
Yip, C. S. C., Lam, W., & Fielding, R. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.117 · Cited by 64
Meat Cooking Methods and Risk of Type 2 Diabetes: Results From Three Prospective Cohort Studies
Liu, G., Zong, G., Wu, K., Hu, Y., Li, Y., Willett, W. C., Eisenberg, D. M., Hu, F. B., & Sun, Q. (2018) · Diabetes Care · doi:10.2337/dc17-1992 · Cited by 63
Segovia‐Siapco, G., & Sabaté, J. (2019) · European Journal of Clinical Nutrition · doi:10.1038/s41430-019-0427-8 · Cited by 61
Ibsen, D. B., Steur, M., Imamura, F., Overvad, K., Schulze, M. B., Bendinelli, B., Guevara, M., Agudo, A., Amiano, P., Aune, D., et al. (2020) · Diabetes Care · doi:10.2337/dc20-1038 · Cited by 61
Papier, K., Appleby, P. N., Fensom, G. K., Knüppel, A., Perez‐Cornago, A., Schmidt, J. A., Tong, T. Y. N., & Key, T. J. (2019) · Nutrition and Diabetes · doi:10.1038/s41387-019-0074-0 · Cited by 63
Poultry Consumption and Human Cardiometabolic Health-Related Outcomes: A Narrative Review
Connolly, G., & Campbell, W. W. (2023) · Nutrients · doi:10.3390/nu15163550 · Cited by 70
Prospective study of a diabetes risk reduction diet and the risk of breast cancer
Kang, J. H., Peng, C., Rhee, J. J., Farvid, M. S., Willett, W. C., Hu, F. B., ROSNER, B. A., Tamimi, R. M., & Eliassen, A. H. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa268 · Cited by 53
Hill, E. R., O’Connor, L. E., Wang, Y., Clark, C. M., McGowan, B. S., Forman, M. R., & Campbell, W. W. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2123778 · Cited by 57
Patel, P. S., Cooper, A., O’Connell, T. C., Kuhnle, G., Kneale, C. K., Mulligan, A. A., Luben, R., Brage, S., Khaw, K., Wareham, N. J., et al. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.068577 · Cited by 49
Savolainen, O. I., Lind, M. V., Bergström, G. M. L., Fagerberg, B., Sandberg, A., & Ross, A. B. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.152850 · Cited by 48
Consumption of fatty foods and incident type 2 diabetes in populations from eight European countries
Buijsse, B., Boeing, H., Drogan, D., Schulze, M. B., Feskens, E. J., Amiano, P., Barricarte, A., Clavel-Chapelon, F., de Lauzon-Guillain, B., Fagherazzi, G., et al. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.249 · Cited by 46
Zhang, R., Fu, J., Moore, J. B., Stoner, L. R., & Li, R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010788 · Cited by 49
Maternal plant-based diet during gestation and pregnancy outcomes
Kesary, Y., Avital, K., & Hiersch, L. (2020) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-020-05689-x · Cited by 45
Shahinfar, H., Jayedi, A., & Shab‐Bidar, S. (2022) · European Journal of Nutrition · doi:10.1007/s00394-022-02813-2 · Cited by 45
Chiu, S., Williams, P. T., Dawson, T., Bergman, R. N., Stefanovski, D., Watkins, S. M., & Krauss, R. M. (2014) · Journal of Nutrition · doi:10.3945/jn.114.197624 · Cited by 44
Galbete, C., Nicolaou, M., Meeks, K. A. C., Klipstein‐Grobusch, K., Aikins, A. D., Addo, J., Amoah, S., Smeeth, L. L., Owusu‐Dabo, E., Spranger, J., et al. (2018) · Nutrition and Diabetes · doi:10.1038/s41387-018-0029-x · Cited by 42
Givens, D. I. (2018) · animal · doi:10.1017/s1751731118000642 · Cited by 42
Shiraseb, F., Hosseininasab, D., Mirzababaei, A., Bagheri, R., Wong, A., Suzuki, K., & Mirzaei, K. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1015566 · Cited by 41
Forouhi, N. G., & Wareham, N. J. (2014) · Current Nutrition Reports · doi:10.1007/s13668-014-0098-y · Cited by 37
Azemati, B., Rajaram, S., Jaceldo‐Siegl, K., Sabaté, J., Shavlik, D. J., Fraser, G. E., & Haddad, E. H. (2017) · Current Developments in Nutrition · doi:10.3945/cdn.116.000299 · Cited by 41
Bhandari, B., Liu, Z., Lin, S., Macniven, R., Akombi-Inyang, B. J., Hall, J. E., Feng, X., Schutte, A. E., & Xu, X. (2022) · Advances in Nutrition · doi:10.1016/j.advnut.2022.10.010 · Cited by 38
Substitution of red meat with poultry or fish and risk of type 2 diabetes: a Danish cohort study
Ibsen, D. B., Warberg, C. K., Würtz, A. M. L., Overvad, K., & Dahm, C. C. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1820-0 · Cited by 39
Pivovarova‐Ramich, O., Markova, M., Weber, D., Sucher, S., Hornemann, S., Rudovich, N. N., Raila, J., Sunaga, D. Y., Sauer, S., Rohn, S., et al. (2019) · Redox Biology · doi:10.1016/j.redox.2019.101397 · Cited by 40
Red meat consumption and all-cause and cardiovascular mortality: results from the UK Biobank study
Wang, M., Ma, H., Song, Q., Zhou, T., Hu, Y., Heianza, Y., Manson, J. E., & Qi, L. (2022) · European Journal of Nutrition · doi:10.1007/s00394-022-02807-0 · Cited by 39
Li, C., Imamura, F., Wedekind, R., Stewart, I. D., Pietzner, M., Wheeler, E., Forouhi, N. G., Langenberg, C., Scalbert, A., & Wareham, N. J. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac094 · Cited by 30
Forouhi, N. G. (2015) · Nutrition Reviews · doi:10.1093/nutrit/nuv018 · Cited by 32
Dietary habits contribute to define the risk of type 2 diabetes in humans
Adeva‐Andany, M. M., Rañal-Muíño, E., Vila-Altesor, M., Fernández‐Fernández, C., Funcasta-Calderón, R., & Castro-Quintela, E. (2019) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.08.002 · Cited by 36
Hobbs, D. A., Givens, D. I., & Lovegrove, J. A. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02486-3 · Cited by 33
Marí-Sanchis, A., Gea, A., Basterra-Gortari, F. J., Martínez‐González, M. Á., Beunza, J. J., & Bes‐Rastrollo, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157990 · Cited by 35
Hematdar, Z., Ghasemifard, N., Phishdad, G., & Faghih, S. (2018) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-018-0346-6 · Cited by 30
Aadland, E. K., Graff, I. E., Lavigne, C., Eng, Ø., Paquette, M., Holthe, A., Mellgren, G., Madsen, L., Jacques, H., & Liaset, B. (2016) · Journal of Nutrition · doi:10.3945/jn.115.229278 · Cited by 27
Friedrich, N., Skaaby, T., Pietzner, M., Budde, K., Thuesen, B. H., Nauck, M. A., & Linneberg, A. R. (2017) · Diabetes & Metabolism · doi:10.1016/j.diabet.2017.05.007 · Cited by 26
Examining the growing challenge: Prevalence of diabetes in young adults (Review)
Murtaza, G., Riaz, S., Zafar, M., Raza, M. A., Kaleem, I., Imran, H., Al‑Harbi, A., Sabouri, A., Niaz, T. A., & Bashir, S. (2024) · Medicine International · doi:10.3892/mi.2024.201 · Cited by 25
Association between dietary patterns and prediabetes risk in a middle-aged Chinese population
Shen, X., Huang, Y.-Q., Zhang, X., Tong, X.-Q., Zheng, P.-F., & Shu, L. (2020) · Nutrition Journal · doi:10.1186/s12937-020-00593-1 · Cited by 26
Ramel, A., Nwaru, B. I., Lamberg-Allardt, C. J. E., Þórisdóttir, B., Bärebring, L., Söderlund, F., Arnesen, E., Dierkes, J., & Åkesson, A. (2023) · Food & Nutrition Research · doi:10.29219/fnr.v67.9543 · Cited by 27
Willmann, C., Heni, M., Linder, K., Wagner, R. J., Stefan, N., Machann, J., Schulze, M. B., Joost, H., Häring, H., & Fritsche, A. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy307 · Cited by 27
Diabetes mellitus associated with processed and unprocessed red meat: an overview
Kouvari, M., Notara, V., Kalogeropoulos, N., & Panagiotakos, D. B. (2016) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2016.1197187 · Cited by 27
Son, J., Lee, Y., & Park, K. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1799-6 · Cited by 21
Unscrambling the relations of egg and meat consumption with type 2 diabetes risk
Sabaté, J., Burkholder-Cooley, N. M., Segovia‐Siapco, G., Oda, K., Wells, B., Orlich, M. J., & Fraser, G. E. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy213 · Cited by 22
Consumption of red meat, genetic susceptibility, and risk of LADA and type 2 diabetes
Löfvenborg, J. E., Ahlqvist, E., Alfredsson, L. S., Andersson, T., Groop, L., Tuomilehto, J., Wolk, A., & Carlsson, S. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02285-2 · Cited by 23
Mozaffarian, D. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00208-9 · Cited by 20
Haile, D., Harding, K. L., McLaughlin, S. A., Ashbaugh, C., Garcia, V., Gilbertson, N. M., Kifle, H., Parent, M. C., Sorensen, R. J. D., Hay, S. I., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03775-8 · Cited by 21
Meat Consumption and Health Outcomes
Boutron‐Ruault, M., Mesrine, S., & Pierre, F. H. F. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803968-7.00012-5 · Cited by 26
Meidtner, K., Podmore, C., Kröger, J., van der Schouw, Y. T., Bendinelli, B., Agnoli, C., Arriola, L., Barricarte, A., Boeing, H., Cross, A. J., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1080 · Cited by 22
Transforming plant proteins into plant-based meat alternatives: challenges and future scope
Prajapati, P., Garg, M., Singh, N., Chopra, R., Mittal, A., & Sabharwal, P. K. (2024) · Food Science and Biotechnology · doi:10.1007/s10068-024-01683-0 · Cited by 21
Noreen, Z., Loffredo, C. A., Bhatti, A., Simhadri, J. J., Nunlee‐Bland, G., Nnanabu, T., John, P. C. L., Khan, J. S., & Ghosh, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165866 · Cited by 18
Abdullah, N., Murad, N. A. A., Hanif, E. A. M., Syafruddin, S. E., Attia, J., Oldmeadow, C. J., Kamaruddin, M. A., Jalal, N. A., Ismail, N., Ishak, M., et al. (2017) · Public Health · doi:10.1016/j.puhe.2017.04.003 · Cited by 16
Mousavi, S. E., Bagheri, A., Benisi-Kohansal, S., Azadbakht, L., & Esmaillzadeh, A. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.744500 · Cited by 15
Worldwide burden attributable to diet high in red meat from 1990 to 2019
Liu, D., Shi, Q., Cheng, G., Huang, Q., & Li, S. (2022) · Archives of Medical Science · doi:10.5114/aoms/156017 · Cited by 17
Associations of food groups and cardiometabolic and inflammatory biomarkers: does the meal matter?
Schwedhelm, C., Schwingshackl, L., Agogo, G. O., Sonestedt, E., Boeing, H., & Knüppel, S. (2019) · British Journal Of Nutrition · doi:10.1017/s000711451900151x · Cited by 16
Rationalisation of meat consumption in New Zealand adolescents
Latimer, K. R., Peddie, M. C., Scott, T., & Haszard, J. J. (2021) · Public Health Nutrition · doi:10.1017/s1368980021003244 · Cited by 15
Kubacka, J., Cembrowska, P., Sypniewska, G., & Stefańska, A. (2021) · Nutrients · doi:10.3390/nu13103307 · Cited by 15
Association of Change of Anthropometric Measurements With Incident Type 2 Diabetes Mellitus
Hartwig, S., Greiser, K. H., Medenwald, D., Tiller, D., Herzog, B., Schipf, S., Ittermann, T., Völzke, H., Müller, G., Haerting, J., et al. (2015) · Medicine · doi:10.1097/md.0000000000001394 · Cited by 14
Aprelini, C. M. D. O., Luft, V. C., Velásquez-Meléndez, G., Schmidt, M. I., Mill, J. G., & Molina, M. D. C. B. (2019) · Revista Panamericana de Salud Pública · doi:10.26633/rpsp.2019.40 · Cited by 17
Tavakoli, F., Faramarzi, M., Salimnezhad, S., Jafari, B., Eslami, H., & MohammadPourTabrizi, B. (2024) · Clinical and Experimental Dental Research · doi:10.1002/cre2.865 · Cited by 12
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
