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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 301–400 of 713
Zhou, C., Liu, C., Zhang, Z., Liu, M., Zhang, Y., Li, H., He, P., Li, Q., & Qin, X. (2022) · BMC Medicine · doi:10.1186/s12916-021-02199-8 · Cited by 29
Assessing individual risk for high‐risk colorectal adenoma at first‐time screening colonoscopy
Cao, Y., ROSNER, B. A., Ma, J., Tamimi, R. M., Chan, A. T., Fuchs, C. S., Wu, K., & Giovannucci, E. L. (2015) · International Journal of Cancer · doi:10.1002/ijc.29533 · Cited by 29
Fernández‐Cao, J. C., Arija, V., Aranda, N., Bulló, M., Basora, J., Martínez‐González, M. Á., Díez‐Espino, J., & Salas‐Salvadó, J. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1042 · Cited by 29
The Complex Interplay of Genetic and Lifestyle Risk Factors in Type 2 Diabetes: An Overview
Franks, P. W. (2012) · Scientifica · doi:10.6064/2012/482186 · Cited by 30
Anjom-Shoae, J., Feinle‐Bisset, C., & Horowitz, M. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1412182 · Cited by 31
Alhazmi, A. H., Stojanovski, E., McEvoy, M., Brown, W. J., & Garg, M. L. (2014) · British Journal Of Nutrition · doi:10.1017/s0007114514001688 · Cited by 28
Kim, Y., Keogh, J. B., & Clifton, P. M. (2016) · Metabolism · doi:10.1016/j.metabol.2016.12.011 · Cited by 30
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
Self-citationRole of Dietary Habits in the Prevention of Diverticular Disease Complications: A Systematic Review
Carabotti, M., Falangone, F., Cuomo, R., & Annibale, B. (2021) · Nutrients · doi:10.3390/nu13041288 · Cited by 27
Grummon, A. H., Musicus, A. A., Salvia, M. G., Thorndike, A. N., & Rimm, E. B. (2022) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2022.10.007 · Cited by 27
Vázquez-Mosquera, J. M., Fernández-Novo, A., de Mercado, E., Vázquez-Gómez, M., Gardón, J. C., Pacheco, J. L. P., Revilla‐Ruiz, Á., Patrón‐Collantes, R., Pérez-Solana, M. L., Villagrá, A., et al. (2023) · Animals · doi:10.3390/ani13050864 · Cited by 29
Zhang, M., Zhu, Y., Li, P., Chang, H., Wang, X., Liu, W., Zhang, Y., & Huang, G. (2015) · Nutrients · doi:10.3390/nu7095382 · Cited by 28
Liu, A., Silvestre, M. P., & Poppitt, S. D. (2015) · Advances in Nutrition · doi:10.3945/an.115.008821 · Cited by 29
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
A Review Study of a Green Diet and Healthy Ageing
Fong, B. Y. F., Chiu, W.-K., Chan, W. F. M., & Lam, T. Y. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18158024 · Cited by 26
Cubas-Basterrechea, G., Elío, I., Alonso, G., Otero, L., Gutiérrez-Bardeci, L., Puente, J. A., & Muñoz, P. (2022) · Nutrients · doi:10.3390/nu14214536 · Cited by 26
Cost-Effectiveness of a New Nordic Diet as a Strategy for Health Promotion
Jensen, J. D., Saxe, H., & Denver, S. (2015) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph120707370 · Cited by 27
Song, S., Hooiveld, G. J. E. J., Li, M., Zhao, F., Zhang, W., Xu, X., Müller, M. M., Li, C., & Zhou, G. (2016) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201500789 · Cited by 26
Processed red meat contribution to dietary patterns and the associated cardio-metabolic outcomes
Lenighan, Y. M., Nugent, A. P., Li, K. F., Brennan, L., Walton, J., Flynn, A., Roche, H. M., & McNulty, B. A. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002008 · Cited by 25
Lenighan, Y. M., Nugent, A. P., MOLONEY, A. P., Monahan, F. J., Walton, J., Flynn, A., Roche, H. M., & McNulty, B. A. (2019) · Public Health Nutrition · doi:10.1017/s1368980019003471 · Cited by 27
Maki, K. C., Wilcox, M. L., Dicklin, M. R., Buggia, M., Palacios, O. M., Maki, C. E., & Kramer, M. W. (2020) · Journal of Nutrition · doi:10.1093/jn/nxaa116 · Cited by 25
Cardiovascular Disease Prevention and Therapy in Women With Type 2 Diabetes
Cocchi, C., Coppi, F., Farinetti, A., & Mattioli, A. V. (2021) · Future Cardiology · doi:10.2217/fca-2021-0011 · Cited by 27
Developing health and environmental warning messages about red meat: An online experiment
Taillie, L. S., Prestemon, C. E., Hall, M. G., Grummon, A. H., Vesely, A., & Jaacks, L. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268121 · Cited by 26
High meat consumption is associated with type 1 diabetes mellitus in a Sardinian case–control study
Muntoni, S., Mereu, R., Atzori, L., Mereu, A., Galassi, S., Corda, S., Frongia, P., Angius, E., Contu, P., Contu, P., et al. (2012) · Acta Diabetologica · doi:10.1007/s00592-012-0385-2 · Cited by 27
Ardakani, A. F., Anjom-Shoae, J., Sadeghi, O., Marathe, C. S., Feinle‐Bisset, C., & Horowitz, M. (2024) · Clinical Nutrition · doi:10.1016/j.clnu.2024.07.001 · Cited by 28
Lv, J.-L., Wu, Q., Li, X., Gao, C., Xu, M.-Z., Yang, J., Zang, S., Luan, J., Cai, D.-Z., Chang, Q., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.06.005 · Cited by 24
Azzola, L. G., Fankhauser, N., & Srinivasan, M. (2023) · Evidence-Based Dentistry · doi:10.1038/s41432-023-00853-z · Cited by 27
Holy Cow! What's Good for You Is Good for Our Planet
Ornish, D. M. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2012.174 · Cited by 24
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
Tang, H., Zhang, X., Luo, N., Huang, J., Yang, Q., Lin, H., Lin, M., Wu, S., Wen, J., Hong, J., et al. (2025) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2025.100520 · Cited by 23
Vulcan, A., Manjer, J., Ericson, U., & Ohlsson, B. (2017) · Food & Nutrition Research · doi:10.1080/16546628.2017.1341810 · Cited by 23
Plant-based diets for children as a means of improving adult cardiometabolic health
Desmond, M. A., Sobiecki, J. G., Fewtrell, M. S., & Wells, J. C. K. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nux079 · Cited by 27
Cafeteria diet intake for fourteen weeks can cause obesity and insulin resistance in Wistar rats
Júnior, D. A. C. P., & Seraphim, P. M. (2012) · Revista de Nutrição · doi:10.1590/s1415-52732012000300001 · Cited by 23
Broad and Inconsistent Muscle Food Classification Is Problematic for Dietary Guidance in the U.S.
Gifford, C., O’Connor, L. E., Campbell, W. W., Woerner, D., & Belk, K. E. (2017) · Nutrients · doi:10.3390/nu9091027 · Cited by 24
Foods, Dietary Patterns and Occupational Class and Leukocyte Telomere Length in the Male Population
Karimi, B., Nabizadeh, R., Yunesian, M., Mehdipour, P., Rastkari, N., & Aghaie, A. (2017) · American Journal of Men s Health · doi:10.1177/1557988317743385 · Cited by 24
Eekelen, E. W.-V., Geelen, A., Alssema, M., Lamb, H. J., Roos, A., Rosendaal, F. R., & de Mutsert, R. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy260 · Cited by 23
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
New race and ethnicity standards: elucidating health disparities in diabetes
Katzmarzyk, P. T., & Staiano, A. E. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-42 · Cited by 25
Hassanzadeh-Rostami, Z., Hemmatdar, Z., Pishdad, G. R., & Faghih, S. (2021) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-0929-6287 · Cited by 22
What should we eat? Realistic solutions for reducing our food footprint
Allenden, N., Hine, D. W., Craig, B. M., Cowie, A., McGreevy, P. D., & Lykins, A. D. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2022.05.008 · Cited by 23
Nutrition and Cardiovascular Health
Berciano, S., & Ordovás, J. M. (2014) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2014.05.003 · Cited by 22
Shin, M.-K., Kim, Y. S., Kim, S., Kim, Y., & Kim, Y. (2015) · Clinical Nutrition Research · doi:10.7762/cnr.2015.4.4.216 · Cited by 24
Healthy and unhealthy dietary patterns are related to pre-diabetes: a case–control study
Bagheri, F., Siassi, F., Koohdani, F., Mahaki, B., Qorbani, M., Yavari, P., Osman, S. M., & Sotoudeh, G. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002634 · Cited by 24
Ibsen, D. B., Laursen, A. S. D., Lauritzen, L., Tjønneland, A. M., Overvad, K., & Jakobsen, M. U. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002896 · Cited by 22
Japan Diabetes Complications Study Group, Horikawa, C., Kamada, C., Tanaka, S., Tanaka, S., Araki, A., Ito, H., Matsunaga, S., Fujihara, K., Yoshimura, Y., et al. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1592-y · Cited by 22
Meat intake in relation to composition and function of gut microbiota
Larsson, S. C., Ericson, U., Dekkers, K. F., Arage, G., Rašo, L. M., Sayols-Baixeras, S., Hammar, U., Baldanzi, G., Nguyen, D. T., Nielsen, H. B., et al. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2024.12.034 · Cited by 22
Kiesswetter, E., Neuenschwander, M., Stadelmaier, J., Szczerba, E., Hofacker, L., Sedlmaier, K., Kussmann, M., Roeger, C., Hauner, H., Schlesinger, S., et al. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.102159 · Cited by 22
Preparing to Prescribe Plant-Based Diets for Diabetes Prevention and Treatment
Trapp, C., & Levin, S. (2012) · Diabetes Spectrum · doi:10.2337/diaspect.25.1.38 · Cited by 24
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
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
Sugihiro, T., Yoneda, M., Ohno, H., Oki, K., & Hattori, N. (2019) · Journal of Diabetes Investigation · doi:10.1111/jdi.13010 · Cited by 21
Designing Environmental Messages to Discourage Red Meat Consumption: An Online Experiment
Wistar, A., Hall, M. G., Bercholz, M., & Taillie, L. S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052919 · Cited by 23
Plant Foods, Healthy Plant-Based Diets, and Type 2 Diabetes: A Review of the Evidence
del Carmen Fernández-Fígares Jiménez, M. (2024) · Nutrition Reviews · doi:10.1093/nutrit/nuad099 · Cited by 20
Lytrivi, M., Cauduro, C. G. D. S., Kibanda, J., Kristanto, P., Paesmans, M., & Cnop, M. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.07.018 · Cited by 20
Classification of main meal patterns – a latent class approach
Wang, W., Worsley, A. F., & Hodgson, V. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512004539 · Cited by 20
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
Self-citationLee, K., Woo, H., Mi, J.-C., Park, J. K., & Kim, S. S. (2019) · Nutrients · doi:10.3390/nu11081801 · Cited by 21
The health impact of substituting unprocessed red meat by pulses in the Danish diet
Fabricius, F. A., Thomsen, S. T., Fagt, S., & Nauta, M. J. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02495-2 · Cited by 20
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Wang, T., Ashrafi, A., Modareszadeh, P., Deese, A. R., Castro, M. D. C. C., Alemi, P. S., & Li, Z. (2021) · Cancers · doi:10.3390/cancers13164142 · Cited by 20
Schulze, M. B., & Hu, F. B. (2013) · Springer eBooks · doi:10.1007/978-0-387-09834-0_66 · Cited by 20
Self-citationDietary Patterns Are Associated with Risk of Diabetes Type 2: A Population-Based Case-Control Study.
Zaroudi, M., Charati, J. Y., Mehrabi, S., Ghorbani, E., Norouzkhani, J., Shirashiani, H., Nikzad, B., Seiedpour, M., Izadi, M., Mirzaei, M., et al. (2016) · PubMed · Cited by 20
Will it be cheese, bologna, or peanut butter?
Willett, W. C. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0257-8 · Cited by 19
Self-citationOxidized Pork Induces Disorders of Glucose Metabolism in Mice
Ge, Y., Li, B., Yang, Y., Feng, C., Xue Ming, T. A. N. G., Shi, Y., Le, G., & Sun, J. (2021) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202000859 · Cited by 19
Gonzalez-Nahm, S., Østbye, T., Hoyo, C., Kravitz, R. M., & Benjamin‐Neelon, S. E. (2021) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2021.08.110 · Cited by 19
Nguyen, C. Q., Pham, T. T. P., Fukunaga, A., Hoang, D. V., Phan, T. V., Phan, D. C., Huynh, D. V., Hachiya, M., Le, H. X., Do, T. H., et al. (2022) · Public Health Nutrition · doi:10.1017/s1368980022001422 · Cited by 19
Delley, M., Ha, T. M., Götze, F., Markoni, E., Ngo, M. H., Nguyen, A. D., Bui, T. L., Le, N. T., Pham, B. D., & Brunner, T. A. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1286579 · Cited by 20
Human Consequences of Animal Exploitation: Needs for Redefining Social Welfare
Matsuoka, A. K., & Sorenson, J. (2013) · The Journal of Sociology & Social Welfare · doi:10.15453/0191-5096.3759 · Cited by 19
Egg consumption is associated with a lower risk of type 2 diabetes in middle-aged and older men
Lee, J., & Kim, J. (2018) · Nutrition Research and Practice · doi:10.4162/nrp.2018.12.5.396 · Cited by 19
Toaha, S. M., Mollah, M. B. R., & Ahammad, M. U. (2016) · Research in Agriculture Livestock and Fisheries · doi:10.3329/ralf.v3i2.29356 · Cited by 19
Sanders, L., Palacios, O. M., Wilcox, M. L., & Maki, K. C. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.104500 · Cited by 18
Hatjiathanassiadou, M., Rolim, P. M., & Seabra, L. M. J. (2023) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.1078997 · Cited by 19
Partial substitution of red or processed meat with plant-based foods and the risk of type 2 diabetes
Maukonen, M., Harald, K., Kaartinen, N. E., Tapanainen, H., Albanes, D., Eriksson, J. G., Härkänen, T., Jousilahti, P., Koskinen, S. V. P., Päivärinta, E., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-32859-z · Cited by 18
Morgan, P. T., Carson, B. P., & Witard, O. C. (2024) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-024-07945-6 · Cited by 19
Sickeningly Sweet: Does Sugar Cause Chronic Disease? No
Sievenpiper, J. L. (2016) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2016.05.006 · Cited by 19
Schönbach, J.-K., Thiele, S., & Lhachimi, S. K. (2018) · Preventive Medicine · doi:10.1016/j.ypmed.2018.11.011 · Cited by 21
Allman, B. R., Andres, A., & Børsheim, E. (2019) · Current Developments in Nutrition · doi:10.1093/cdn/nzz055 · Cited by 18
Yamauchi, T., Kamiya, H., Utsunomiya, K., Watada, H., Kawanami, D., Sato, J., Kitada, M., Koya, D., Harada, N., Shide, K., et al. (2020) · Diabetology International · doi:10.1007/s13340-020-00437-7 · Cited by 18
Herchenroeder, L., Forestell, C. A., & Bravo, A. J. (2022) · The Journal of Social Psychology · doi:10.1080/00224545.2022.2081529 · Cited by 18
Roizen, M. F. (2012) · Yearbook of Anesthesiology and Pain Management · doi:10.1016/j.yane.2012.02.025 · Cited by 18
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Nadeau, D. A. (2013) · Postgraduate Medicine · doi:10.3810/pgm.2013.05.2666 · Cited by 18
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Zhuang, P., Jiao, J., Wu, F. L., Mao, L., & Zhang, Y. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.06.040 · Cited by 16
Saito, E., Tang, X., Abe, S. K., Sawada, N., Ishihara, J., Takachi, R., Iso, H., Shimazu, T., Yamaji, T., Iwasaki, M., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0244007 · Cited by 16
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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
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Li, M., Jeeyavudeen, M. S., Arunagirinathan, G., & Pappachan, J. M. (2023) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2023.19.1.7 · Cited by 18
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Plasma metabolomics profiles in Black and White participants of the Adventist Health Study-2 cohort
Butler, F. M., Utt, J., Mathew, R. O., Casiano, C. A., Montgomery, S., Wiafe, S., Lampe, J. W., & Fraser, G. E. (2023) · BMC Medicine · doi:10.1186/s12916-023-03101-4 · Cited by 15
Lombardo, M., Bellia, C., Moletto, C., Aulisa, G., Padua, E., Della‐Morte, D., Caprio, M., & Bellia, A. (2020) · Current Nutrition Reports · doi:10.1007/s13668-020-00324-2 · Cited by 15
Kubacka, J., Cembrowska, P., Sypniewska, G., & Stefańska, A. (2021) · Nutrients · doi:10.3390/nu13103307 · Cited by 15
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Goldfarb, G., & Sela, Y. (2021) · F1000Research · doi:10.12688/f1000research.73470.1 · Cited by 14
Ramsing, R., Chang, K. B., Hendrickson, Z. M., Xu, Z., Friel, M., & Calves, E. (2021) · Journal of Agriculture Food Systems and Community Development · doi:10.5304/jafscd.2021.102.026 · Cited by 14
Pan, K., Jiang, H., Dowling, R., Zhong, L., Ke, L., Xu, M., Wang, C., Tian, Q., He, Y., Lu, K., et al. (2022) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-021-01347-6 · Cited by 14
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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
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.
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