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Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis
Open accessAbstract
Background The relation between consumption of different types of red meats and risk of type 2 diabetes (T2D) remains uncertain.Objective We evaluated the association between unprocessed and processed red meat consumption and incident T2D in US adults.Design We followed 37,083 men in the Health Professionals Follow-Up Study (1986-2006), 79,570 women in the Nurses' Health Study I (1980-2008), and 87,504 women in the Nurses' Health Study II (1991-2005). Diet was assessed by validated food-frequency questionnaires, and data were updated every 4 y. Incident T2D was confirmed by a validated supplementary questionnaire.Results During 4,033,322 person-years of follow-up, we documented 13,759 incident T2D cases. After adjustment for age, BMI, and other lifestyle and dietary risk factors, both unprocessed and processed red meat intakes were positively associated with T2D risk in each cohort (all P-trend <0.001). The pooled HRs (95% CIs) for a one serving/d increase in unprocessed, processed, and total red meat consumption were 1.12 (1.08, 1.16), 1.32 (1.25, 1.40), and 1.14 (1.10, 1.18), respectively. The results were confirmed by a meta-analysis (442,101 participants and 28,228 diabetes cases): the RRs (95% CIs) were 1.19 (1.04, 1.37) and 1.51 (1.25, 1.83) for 100 g unprocessed red meat/d and for 50 g processed red meat/d, respectively. We estimated that substitutions of one serving of nuts, low-fat dairy, and whole grains per day for one serving of red meat per day were associated with a 16-35% lower risk of T2D.Conclusion Our results suggest that red meat consumption, particularly processed red meat, is associated with an increased risk of T2D.
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“Consistent with this, while a minority of individual studies suggest similar cardiovascular risk for unprocessed red meat vs. processed meats,170, 171 many other individual studies and meta-analyses support much stronger effects of processed meats, including low-fat deli meats, on CVD (Figure 6).172-174”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [172]
In 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 [172]
In the citing paper
“Consistent with this, while a minority of individual studies suggest similar cardiovascular risk for unprocessed red meat vs. processed meats,170, 171 many other individual studies and meta-analyses support much stronger effects of processed meats, including low-fat deli meats, on CVD (Figure 6).172-174”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [173]
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 [173]
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 [2]
In the citing paper
“Furthermore, the red meat-associated diabetes risk was also observed in models in which red meat was substituted by foods with a similar macronutrient content (2), suggesting the relation to be independent of macronutrient composition of the diet.”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [2]
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 [2]
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 [2]
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,325
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., Fernandes, J. D. D. R., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D. A., Shaw, J. E., & Makaroff, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 7,121
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
Sacks, F. M., Svetkey, L. P., Vollmer, W. M., Appel, L. J., Bray, G. A., Harsha, D., Obarzanek, E., Conlin, P. R., Miller, E. R., Simons-Morton, D. G., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200101043440101 · Cited by 5,638
Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance.
National Diabetes Data Group (1979) · Diabetes · doi:10.2337/diab.28.12.1039 · Cited by 4,909
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
Self-citationEconomic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147
Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., & Willett, W. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010492 · Cited by 2,901
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Items 501–600 of 713
Nagarathna, R., Anand, A., Nanda, S., Patil, S. S., Singh, A., Rajesh, S. K., & Nagendra, H. R. (2020) · Annals of Neurosciences · doi:10.1177/09727531211005226 · Cited by 5
Epidemiology and Risk Factors of Type 2 Diabetes
Ley, S. H., & Meigs, J. B. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_5 · Cited by 7
Jenny Ruedlinger, S., Vicente Cid, O., Huidobro, A., Wyngard, V. V. D., Vargas, C., & Catterina Ferreccio, R. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.960997 · Cited by 5
Mirrafiei, A., Imani, H., Ansari, S., Kondrud, F. S., Safabakhsh, M., & Shab‐Bidar, S. (2023) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2023.02.009 · Cited by 5
Zandvakili, A., Shiraseb, F., Hosseininasab, D., Aali, Y., Santos, R. D., & Mirzaei, K. (2024) · BMC Women s Health · doi:10.1186/s12905-023-02862-7 · Cited by 5
Eroglu, E. I., Kuxhaus, O., Jannasch, F., Nickel, D., & Schulze, M. B. (2024) · Metabolites · doi:10.3390/metabo14030172 · Cited by 5
Self-citationAssunção, R., Biasini, B., Boué, G., Clep, R., Coelho, I., Cozzi, E., Deacu, A., Jakobsen, L. S., Martins, C., Motta, C., et al. (2024) · EFSA Supporting Publications · doi:10.2903/sp.efsa.2024.en-9062 · Cited by 5
Lowndes, J., Kawiecki, D., Yu, Z., & Rippe, J. M. (2015) · Food and Nutrition Sciences · doi:10.4236/fns.2015.61011 · Cited by 5
Burini, R. C. (2014) · Endocrinology & Metabolic Syndrome · doi:10.4172/2161-1017.1000125 · Cited by 5
Falahi, E., Roosta, S., Abedini, M., & Ebrahimzadeh, F. (2016) · International Dairy Journal · doi:10.1016/j.idairyj.2016.04.008 · Cited by 5
Tanisawa, K., & Higuchi, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-849886-6.00009-4 · Cited by 6
Saboo, N., & Kacker, S. (2022) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_1902_21 · Cited by 5
Schulze, M. B., & Hu, F. B. (2022) · Springer eBooks · doi:10.1007/978-1-4614-6625-3_66-1 · Cited by 5
Self-citationImpact of Dietary Proteins on Energy Balance, Insulin Sensitivity and Glucose Homeostasis
Chevrier, G., Mitchell, P. L., Beaudoin, M., & Marette, A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802167-5.00018-9 · Cited by 5
Gesundheitliche Aspekte des Fleischkonsums
Richi, E. B., Baumer, B., Conrad, B., Darioli, R., Schmid, A., & Keller, U. B. (2015) · Swiss Medical Forum ‒ Schweizerisches Medizin-Forum · doi:10.4414/smf.2015.02296 · Cited by 5
Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework
Chalmers, N., Stetkiewicz, S., Sudhakar, P., Osei-Kwasi, H., & Reynolds, C. J. (2019) · Sustainability · doi:10.3390/su11236863 · Cited by 7
Morales, L. E., & Higuchi, A. (2019) · Journal of Sensory Studies · doi:10.1111/joss.12556 · Cited by 6
Ghosh, H., & Spitzer, D. L. (2014) · International Indigenous Policy Journal · doi:10.18584/iipj.2014.5.1.2 · Cited by 5
Meat Food Group Intakes and the Risk of Type 2 Diabetes Incidence
Hosseini‐Esfahani, F., Beheshti, N., Koochakpoor, G., Mirmiran, P., & Azizi, F. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.891111 · Cited by 4
Wang, Z., Zhao, S., Zhang, A., Quan, B., Duan, C., Liang, M., & Yang, J. (2024) · Tuberculosis · doi:10.1016/j.tube.2024.102499 · Cited by 4
Kechagia, I., & Panagiotakos, D. B. (2024) · HORMONES · doi:10.1007/s42000-024-00604-4 · Cited by 4
Delaunay, B., Tudrej, B. V., Bernard, A., Dupuy, A., Malavergne, C., Bacon, T., Sebo, P., & Maisonneuve, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-86270-x · Cited by 4
Wang, R., Jin, X., Zhu, J., Li, X., Chen, J., Yuan, C., Wang, X., Zheng, Y.-F., Wang, S., & Sun, G. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07335-3 · Cited by 4
Zalecenia żywieniowe i formy ich upowszechniania
Pyrzyńska, E. (2014) · Krakow Review of Economics and Management/Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie · doi:10.15678/znuek.2014.0927.0306 · Cited by 4
Cozma, A. I., Ha, V., Jayalath, V. H., de Souza, R. J., & Sievenpiper, J. L. (2014) · Springer eBooks · doi:10.1007/978-1-4899-8077-9_19 · Cited by 4
Vegetarian Diets and the Risk of Type 2 Diabetes
Tonstad, S., & Clifton, P. M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803968-7.00020-4 · Cited by 4
Sotgia, S., Mangoni, A. A., Hancock, S. J., Zinellu, A., Carru, C., & McEvoy, M. (2023) · Human Nutrition & Metabolism · doi:10.1016/j.hnm.2023.200213 · Cited by 4
Piacquadio, K. A., Margolis, L. M., Gwin, J. A., & Leidy, H. J. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.04.026 · Cited by 5
Cross, A. J. (2012) · Evidence-Based Nursing · doi:10.1136/eb-2012-100831 · Cited by 4
Sayed, H. H. E., El-Shafei, M. M., & Toprak, L. (2015) · Fırat Üniversitesi Sosyal Bilimler Dergisi · doi:10.18069/fusbed.24732 · Cited by 4
Viande et santé humaine : excès et défauts
Lecerf, J. (2011) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)31918-1 · Cited by 5
Ischemic Heart Disease in Vegetarians and Those Consuming a Predominantly Plant-Based Diet
Mann, J. I. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803968-7.00023-x · Cited by 4
Hurree, N., Pem, D., Bhagwant, S., & Jeewon, R. (2017) · Mediterranean Journal of Nutrition and Metabolism · doi:10.3233/mnm-16118 · Cited by 4
Shi, L. S. (2017) · Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)) · Cited by 4
Allenden, N., Lykins, A. D., Phillips, K. L., & Cosh, S. (2025) · Journal of Health Psychology · doi:10.1177/13591053251354851 · Cited by 4
Vaezi, S., de Vargas, B. O., Weidauer, L. A., Freeling, J., & Dey, M. (2025) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2025.107615 · Cited by 4
Kiran, M., Xie, Y., Ball, G., Anjum, N., Schutte, R., & Pierscionek, B. K. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1714545 · Cited by 3
Sidoruk, P., Olorunlowu, S. A., Pawlak, P., Lechniak, D., Sznajder, J., Szczesny, J., Komisarek, J., Leško, M., Petrič, D., Ślusarczyk, S., et al. (2025) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2025.116466 · Cited by 3
That it’s red? Or what it was fed/how it was bred? The risk of meat
Lucan, S. C. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.040964 · Cited by 3
Risk Behaviors for Proactive Health Promotion
Wagialla, N. A., Hassanein, M., Bashir, A. O., Abdullah, A. E., Merghani, H. A., Haj, E. M. I., & Abdulrahman, A. M. A. A. (2019) · Public Health - Open Journal · doi:10.17140/phoj-4-129 · Cited by 3
Mindfulness is not associated with dissonant attitudes but enhances the ability to cope with them
Muschalik, C., Crutzen, R., Elfeddali, I., & de Vries, H. (2020) · BMC Psychology · doi:10.1186/s40359-020-0377-x · Cited by 3
Trends in the plant-based anti-aging diet in different continents of the world
Banjerdpongchai, R., Suttajit, M., & Ratanavalachai, T. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90581-7.00014-1 · Cited by 3
Red and White Meat Intake in Relation to Gut Flora in Obese and Non-Obese Arab Females
Almajed, J., Al-Musharaf, S., Abudawood, M., Sabico, S., Aljazairy, E. A., & Aljuraiban, G. S. (2023) · Foods · doi:10.3390/foods12020245 · Cited by 3
Rochefort, G., Brassard, D., Desroches, S., Robitaille, J., Lemieux, S., Provencher, V., & Lamarche, B. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1148137 · Cited by 3
Wang, C., Gao, Y., Smerin, D., Amin, M. R., Chen, Z., Jian, Z., Gu, L., & Xiong, X. (2024) · Nutrients · doi:10.3390/nu16223829 · Cited by 3
Nguyen, C. Q., Pham, T. T. P., Phan, D. C., Do, T. H., Mizoue, T., & Inoue, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0312525 · Cited by 3
Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
Chiu, Y., & Wen, L. (2025) · Statistics in Medicine · doi:10.1002/sim.70007 · Cited by 3
Tipping the balance: Haemoglobinopathies and the risk of diabetes
Baldwin, H. J. (2016) · World Journal of Diabetes · doi:10.4239/wjd.v7.i1.8 · Cited by 3
Nakamura, Y., Narita, A., Sutoh, Y., Imaeda, N., Goto, C., Matsui, K., Takashima, N., Kadota, A., Miura, K., Nakatochi, M., et al. (2021) · Journal of Nutritional Science · doi:10.1017/jns.2021.49 · Cited by 3
Njike, V. Y., Kela, G., Treu, J. A., Ayettey, R. G., Kussaga, F. M., Khan, N., Comerford, B., & Agboola, O. J. (2022) · Journal of the American Nutrition Association · doi:10.1080/07315724.2021.2006824 · Cited by 4
Cao, L., Wen, Y., Fan, K., Wang, Q., Zhang, Y., Li, Z., Wang, N., & Zhang, X. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02087-z · Cited by 3
Jacob, J. M. (2013) · Scholarship@Western (Western University) · Cited by 3
Lamisse, F. (2013) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(13)70506-6 · Cited by 3
Prophylaxis and treatment of types 1 and 2 diabetes mellitus
Donatus, B. C. (2014) · Cited by 3
Red meat and T2DM—the difficult path to a proof of causality
Joost, H. (2013) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.150 · Cited by 3
Effects of Dietary Lipid Intake on Diabetes
Kadegowda, A. K. G., & Yu, L. (2015) · Elsevier eBooks · doi:10.1016/b978-1-78242-247-1.00006-5 · Cited by 5
Teoria do comportamento planejado
Watanabe, E. A. M. T. (2014) · doi:10.47749/t/unicamp.2014.927907 · Cited by 3
Mathur, M. B., Robinson, T. N., Reichling, D. B., Gardner, C. D., Nadler, J., Bain, P. A., & Peacock, J. (2019) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/n6uka · Cited by 3
Czech-Załubska, K., Didkowska, A., Klich, D., Jackowska-Tracz, A., Zarzynska, J. M., & Anusz, K. (2024) · Nutrients · doi:10.3390/nu16060827 · Cited by 2
Lee, E. Y. P., Dinh, B. L., Tang, J., Streicher, S. A., Wang, X., Biswas, S., Tian, H., Yu, X., Tappara, K., Naseri, T., et al. (2026) · Genes & Nutrition · doi:10.1186/s12263-026-00811-1 · Cited by 2
Tian, X., SMET, S. D., & HECKE, T. V. (2025) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2025.108527 · Cited by 2
Guzmán, E., Edirisinghe, I., Wilcox, M. L., Kirkpatrick, C. F., Adams, C. G., Burton‐Freeman, B. M., & Maki, K. C. (2025) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2025.107589 · Cited by 2
Dietary Determinants of Diabetes Prevalence: A Cross-Sectional Study in the Hungarian Population
Hajzer, Z. E., Petróczki, F. M., Faludi, E. V., Oláh, C., Prokisch, J., & Ghanem, A. S. (2026) · Nutrients · doi:10.3390/nu18050731 · Cited by 2
Eco-Focused Menu Labels on Full Meal Orders From Fast-Food Restaurants
Wolfson, J. A., Tucker, A. C., Reimold, A. E., Musicus, A. A., Carr, N., Kim, B. F., Santo, R. E., Cho, C., Barquera‐Guevara, D. A., Choi, E., et al. (2026) · JAMA Health Forum · doi:10.1001/jamahealthforum.2026.2108 · Cited by 2
Diabetes Risk Reduction Diet (DRRD) and Breast Cancer Risk: A Review
Hasani, M., Ghasemi, H., & Khodabakhshi, A. (2024) · Nutrition and Cancer · doi:10.1080/01635581.2024.2355686 · Cited by 2
The Role of Nutrition in Heart Disease Prevention
Kris‐Etherton, P. M., Fleming, J. A., Kroat, A., Skulas‐Ray, A. C., & Flock, M. R. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.00030-1 · Cited by 2
Associations between Obesity and Sleep Quality among Older Adults in a Health Center in Iran
Binazir, M. B. (2021) · Current Research in Diabetes & Obesity Journal · doi:10.19080/crdoj.2021.14.555883 · Cited by 2
Can eating red meat increase the risk of developing Type 2 diabetes?
Pan, A., & Hu, F. B. (2013) · Diabetes Management · doi:10.2217/dmt.13.56 · Cited by 2
Self-citationMarset, J. B., Bassols, M. M., & Baladía, E. (2012) · FMC - Formación Médica Continuada en Atención Primaria · doi:10.1016/s1134-2072(12)70423-1 · Cited by 2
Celada, P. A., & Sánchez-Muniz, F. J. (2016) · Anales de la Real Academia Nacional de Farmacia · Cited by 2
Experience in Nutrition Management of Diabetes-Affected COVID-19 Patients
Abiri, B., Guest, P. C., & Vafa, M. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-59261-5_6 · Cited by 2
A strategy for exploring subgroup-specific effects in nutrition science
Lambert, J., Xavier, T., Berger, K., & Peairs, A. (2022) · Journal of Nutritional Science · doi:10.1017/jns.2022.107 · Cited by 2
Jarvis, S., & Malik, V. (2023) · Journal of the Indian Institute of Science · doi:10.1007/s41745-023-00358-9 · Cited by 2
Conclusions of the Optimal Lean Diet Study go beyond the data
Bernstein, A. M., & Willett, W. C. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.034363 · Cited by 2
Self-citationAn Overview on the Role of Nutrition and Food Groups in the Prevention of Cardiovascular Diseases
Karkhah, A., Karkhah, M., & Ghadimi, R. (2017) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 2
Nutrição vegetariana: avanços e perspectivas
Martins, M. C. T. (2011) · Life Style · doi:10.19141/2237-3756.lifestyle.v1.n2.p8-10 · Cited by 2
Pallottini, A. C. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.6.2017.tde-02082017-145210 · Cited by 2
Nakamura, T., & Kuranuki, S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809657-4.99599-1 · Cited by 3
Kremer, D. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.09.022 · Cited by 2
FRIED FOOD AND POSSIBLE HEALTH HAZARDS
ijar, & Alshanqiti, Z. S. (2019) · International Journal of Advanced Research · doi:10.21474/ijar01/10071 · Cited by 1
El-Alameey, I. R., Al-Aswad, W. A., Khojah, R. M., Al-Rehaili, R. D., Al-Saedi, L. A., & Al-Buladi, Y. S. (2023) · Biomedical & Pharmacology Journal · doi:10.13005/bpj/2718 · Cited by 1
A Comparison of Dietary Intake Among Rural Americans With and Without Diabetes
Koziatek, C. A., RONY, M., ARIAS, C. Q., FLORES, T. A., Heider, M., Smith, M., Chowdhury, S., MOTOLA, H. L., Hubert-Simon, J., Holden, K., et al. (2025) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2025.01.011 · Cited by 1
Kiguli, J., Matovu, J. K. B., Kasujja, F. X., Nabaliisa, J., Kirunda, R., Naggayi, G., Wejuli, J. M., Okade, T., Ninsiima, L. R., Halage, A., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-099600 · Cited by 1
Tan, K., Xue, Y., Chen, H., Zheng, Y., Qin, Z., Tian, Z., & Zhang, C. (2025) · Journal of Health Population and Nutrition · doi:10.1186/s41043-025-01000-3 · Cited by 1
Lombardo, M. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1665566 · Cited by 1
Ren, J., Ablimit, M., Maimaitiaili, T., Tuoheti, Z., Zhang, J. J., Jiao, D., Xue, H., & Ablat, N. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1763155 · Cited by 1
Roberts, K. M., Thongkhao-On, S., Culp, S., Ba, D. M., Bejjani, J., Ke, S., Nikahd, M., Phillips, A. E., Lee, P. J., Singh, V. K., et al. (2026) · Pancreas · doi:10.1097/mpa.0000000000002644 · Cited by 1
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Suprono, M. S., Shavlik, D. J., Butler, F. M., Sabaté, J., Fraser, G. E., & Orlich, M. J. (2025) · Journal of Nutrition · doi:10.1016/j.tjnut.2025.10.022 · Cited by 1
Toward International Dietary Guidance: A Food Guide Pyramid for Human and Planetary Health
Corte, K. W. D., Buyken, A. E., Vecchia, C. L., Vanginkel, M.-A., Salas‐Salvadó, J., Riccardi, G., Trichopoulou, A., Slavin, J. L., Ceriello, A., Bulló, M., et al. (2026) · Advances in Nutrition · doi:10.1016/j.advnut.2026.100738 · Cited by 1
Self-citationAdded Sugars and Health: Evidence from Prospective Cohort Studies and Controlled Dietary Trials
Sievenpiper, J. L. (2014) · Springer eBooks · doi:10.1007/978-1-4899-8077-9_7 · Cited by 1
Lifestyle interventions and risk of Type 2 diabetes
Bazhan, M., Mirmiran, P., Mirghotbi, M., & Vafaee, R. (2013) · Archives of Advances in Biosciences · doi:10.22037/jps.v4i1.3996 · Cited by 1
What’s Really Wrong with Medical Research and How to Fix It.
Feinman, R. D. (2017) · Journal of Evolution and Health An Ancestral Health Society Publication · doi:10.15310/2334-3591.1069 · Cited by 1
Goh, C. E. (2018) · doi:10.7916/d8ff596v · Cited by 1
Nutritional Aspect of Type-2 Diabetes Mellitus
Rekha, R., Kumari, U., & Kumar, A. (2019) · Bulletin of Pure & Applied Sciences- Zoology · doi:10.5958/2320-3188.2019.00014.7 · Cited by 1
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敏正, 山., 英紀, 神., 宇都宮, 一., 裕孝, 綿., 川浪, 大., 淳子, 佐., 北田, 宗., 古家, 大., 範雄, 原., 憲一郎, 幣., et al. (2020) · 糖尿病 · doi:10.11213/tonyobyo.63.91 · Cited by 1
Holloway, J. W., & Wu, J. (2019) · Springer eBooks · doi:10.1007/978-981-13-7856-0_4 · Cited by 1
Nutrient quality in dietary therapy for diabetes and diabetic kidney disease
Tsuruta, H., Sugahara, S., & Kume, S. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14208 · Cited by 1
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Xiao, R., Li, D., Xie, B., & Liu, B. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1414678 · Cited by 1
Lipid metabolism and insulin sensitivity
Wu, X. (2024) · Theoretical and Natural Science · doi:10.54254/2753-8818/46/20240400 · Cited by 1
Metadata
- Authors
- Pan, A., Sun, Q., Bernstein, A. M., Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B.
- Affiliations
- Harvard University (US)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 94
- Issue
- 4
- Pages
- 1088-1096
- ISSN
- 0002-9165 (ISSN-L)
- PMC
- PMC3173026
- OpenAlex
- W1995856488
- Cited by
- 709
- References
- 75
- Citations by year
- 2026: 24 · 2025: 27 · 2024: 53 · 2023: 35 · 2022: 60 · 2021: 50 · 2020: 51 · 2019: 59 · 2018: 56 · 2017: 68 · 2016: 51 · 2015: 46 · 2014: 42 · 2013: 39 · 2012: 43
- FWCI
- 39.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (CA 87969, CA55075)
- National Heart, Lung, and Blood Institute (K99HL098459, CA55075, CA87969)
- National Cancer Institute (CA-87969, CA-55075, P01CA087969, CA50385, R01CA050385)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK058845, DK58845)
- 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
- red meat consumption, type 2 diabetes, processed meat, diabetes risk, dietary risk factors, nuts, low-fat dairy, whole grains, Health Professionals Follow-up Study, Nurses' Health Study
- MeSH terms
- Adult, Aged, Diabetes Mellitus, Type 2, Diet, Female, Follow-Up Studies, Food Handling, Humans, Male, Meat, Middle Aged, Prospective Studies, Surveys and Questionnaires, Risk, United States, Reproducibility of Results, Cohort Studies, Incidence
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