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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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Citations
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 7,138
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
Self-citation
Cited by
Sorted by citations
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., AlMazroa, M. A., Amann, M., Anderson, H. R., Andrews, K. G., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61766-8 · Cited by 11,805
Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems
Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Garnett, T., Tilman, D., DeClerck, F., Wood, A., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)31788-4 · Cited by 10,880
Self-citationHeart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., de Ferranti, S., Després, J.-P., Fullerton, H. J., Howard, V. J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000152 · Cited by 5,797
Global aetiology and epidemiology of type 2 diabetes mellitus and its complications
Zheng, Y., Ley, S. H., & Hu, F. B. (2018) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.151 · Cited by 5,697
Self-citationHeart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292
Heart Disease and Stroke Statistics—2014 Update
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Blaha, M. J., Dai, S., Ford, E. S., Fox, C. S., Franco, S., et al. (2013) · Circulation · doi:10.1161/01.cir.0000441139.02102.80 · Cited by 5,264
The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report
Swinburn, B. A., Kraak, V. I., Allender, S., Atkins, V. J., Baker, P. I., Bogard, J. R., Brinsden, H., Calvillo, A., De Schutter, O., Devarajan, R., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32822-8 · Cited by 3,081
Self-citationMozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216
“litus, although with approximately double the risk, gram-forgram, for processed meats than for unprocessed red meats.(172,178) Mechanisms require further study, but this observed risk for diabetes mellitus may be linked to iron content(179,180) and possibly”
Meat consumption, health, and the environment
Godfray, H. C. J., Aveyard, P. N., Garnett, T., Hall, J. W., Key, T. J., Lorimer, J., Pierrehumbert, R. T., Scarborough, P., Springmann, M., & Jebb, S. A. (2018) · Science · doi:10.1126/science.aam5324 · Cited by 2,318
Alternative Dietary Indices Both Strongly Predict Risk of Chronic Disease
Chiuve, S. E., Fung, T. T., Rimm, E. B., Hu, F. B., McCullough, M. L., Wang, M., Stampfer, M. J., & Willett, W. C. (2012) · The Journal of Nutrition · doi:10.3945/jn.111.157222 · Cited by 1,951
Self-citationGlobal obesity: trends, risk factors and policy implications
Malik, V., Willett, W. C., & Hu, F. B. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2012.199 · Cited by 1,470
Self-citationPrevention and management of type 2 diabetes: dietary components and nutritional strategies
Ley, S. H., Hamdy, O., Mohan, V., & Hu, F. B. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60613-9 · Cited by 1,301
Self-citationSchwingshackl, L., Hoffmann, G., Lampousi, A.-M., Knüppel, S., Iqbal, K., Schwedhelm, C., Bechthold, A., Schlesinger, S., & Boeing, H. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0246-y · Cited by 799
Red Meat Consumption and Mortality: Results From 2 Prospective Cohort Studies
Sun, Q. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.2287 · Cited by 763
Self-citationBhatti, J. S., Sehrawat, A., Mishra, J., Sidhu, I. S., Navik, U., Khullar, N., Kumar, S., Bhatti, G. K., & Reddy, P. H. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.03.019 · Cited by 753
Food based dietary patterns and chronic disease prevention
Schulze, M. B., Martínez‐González, M. Á., Fung, T. T., Lichtenstein, A. H., & Forouhi, N. G. (2018) · BMJ · doi:10.1136/bmj.k2396 · Cited by 620
Self-citationMacdiarmid, J. I., Douglas, F., & Campbell, J. (2015) · Appetite · doi:10.1016/j.appet.2015.10.011 · Cited by 639
Potential health hazards of eating red meat
Wolk, A. (2016) · Journal of Internal Medicine · doi:10.1111/joim.12543 · Cited by 558
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
Anand, S. S., Hawkes, C., de Souza, R. J., Mente, A., Dehghan, M., Nugent, R., Zulyniak, M. A., Weis, T., Bernstein, A. M., Krauss, R. M., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.07.050 · Cited by 507
Self-citationMicha, R., Michas, G., & Mozaffarian, D. (2012) · Current Atherosclerosis Reports · doi:10.1007/s11883-012-0282-8 · Cited by 502
Micha, R., Shulkin, M., Peñalvo, J. L., Khatibzadeh, S., Singh, G. M., Rao, M., Fahimi, S., Powles, J. W., & Mozaffarian, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175149 · Cited by 507
Micha, R., Khatibzadeh, S., Shi, P., Andrews, K. G., Engell, R. E., & Mozaffarian, D. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-008705 · Cited by 473
Marangoni, F., Corsello, G., Cricelli, C. A., Ferrara, N., Ghiselli, A., Lucchin, L., & Poli, A. (2015) · Food & Nutrition Research · doi:10.3402/fnr.v59.27606 · Cited by 445
Aune, D., Norat, T., Romundstad, P., & Vatten, L. J. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.059030 · Cited by 434
The 2015 Dutch food-based dietary guidelines
Kromhout, D., Spaaij, C. J. K., de Goede, J., & Weggemans, R. M. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.52 · Cited by 416
Heller, M., Keoleian, G. A., & Willett, W. C. (2013) · Environmental Science & Technology · doi:10.1021/es4025113 · Cited by 389
Self-citationArticulating the effect of food systems innovation on the Sustainable Development Goals
Herrero, M., Thornton, P. K., Mason-D’Croz, D., Palmer, J., Bodirsky, B. L., Pradhan, P., Barrett, C. B., Benton, T. G., Hall, A., Pikaar, I., et al. (2020) · The Lancet Planetary Health · doi:10.1016/s2542-5196(20)30277-1 · Cited by 340
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
Meat: The balance between nutrition and health. A review
SMET, S. D., & Vossen, E. (2016) · Meat Science · doi:10.1016/j.meatsci.2016.04.008 · Cited by 320
Etemadi, A., Sinha, R., Ward, M. H., Graubard, B. I., Inoue-Choi, M., Dawsey, S. M., & Abnet, C. C. (2017) · BMJ · doi:10.1136/bmj.j1957 · Cited by 296
Rouhani, M. H., Salehi‐Abargouei, A., Surkan, P. J., & Azadbakht, L. (2014) · Obesity Reviews · doi:10.1111/obr.12172 · Cited by 318
Plant-Based Diets for Personal, Population, and Planetary Health
Hemler, E. C., & Hu, F. B. (2018) · Advances in Nutrition · doi:10.1093/advances/nmy117 · Cited by 292
Self-citationBao, W., Rong, Y., Rong, S., & Liu, L. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-119 · Cited by 261
Current Evidence on Healthy Eating
Willett, W. C., & Stampfer, M. J. (2013) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031811-124646 · Cited by 281
Self-citationReducing meat consumption in the USA: a nationally representative survey of attitudes and behaviours
Neff, R., Edwards, D. M., Palmer, A., Ramsing, R., Righter, A., & Wolfson, J. A. (2018) · Public Health Nutrition · doi:10.1017/s1368980017004190 · Cited by 281
Safiri, S., Karamzad, N., Kaufman, J. S., Bell, A. W., Nejadghaderi, S. A., Sullman, M. J. M., Moradi‐Lakeh, M., Collins, P. G. S., & Kolahi, A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.838027 · Cited by 269
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
Self-citationMeat 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
Self-citationZeraatkar, D., Han, M. A., Guyatt, G. H., Vernooij, R. W. M., El Dib, R., Cheung, K., Milio, K., Zworth, M., Bartoszko, J. J., Valli, C., et al. (2019) · Annals of Internal Medicine · doi:10.7326/m19-0655 · Cited by 243
Vegetarian diets and glycemic control in diabetes: a systematic review and meta-analysis.
(2014) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2223-3652.2014.10.04 · Cited by 243
Imamura, F., Fretts, A. M., Marklund, M., Korat, A. V. A., Yang, W.-S., Lankinen, M. A., Qureshi, W., Helmer, C., Chen, T. A., Wong, K., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002670 · Cited by 244
Self-citationMontonen, J., Boeing, H., Fritsche, A., Schleicher, E., Joost, H.-G., Schulze, M. B., Steffen, A., & Pischon, T. (2013) · European Journal of Nutrition · doi:10.1007/s00394-012-0340-6 · Cited by 234
Self-citationPan, 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
Self-citationFish Consumption, Dietary Long-Chain n-3 Fatty Acids, and Risk of Type 2 Diabetes
Wallin, A., Giuseppe, D. D., Orsini, N., Patel, P. S., Forouhi, N. G., & Wolk, A. (2012) · Diabetes Care · doi:10.2337/dc11-1631 · Cited by 226
Germination as a bioprocess for enhancing the quality and nutritional prospects of legume proteins
Ohanenye, I. C., Tsopmo, A., Ejike, C. E. C. C., & Udenigwe, C. C. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.05.003 · Cited by 225
Tobias, D. K., Hu, F. B., Chavarro, J., Rosner, B., Mozaffarian, D., & Zhang, C. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2012.3747 · Cited by 219
Self-citationInflammatory dietary pattern and risk of depression among women
Lucas, M., Chocano-Bedoya, P. O., Shulze, M. B., Mirzaei, F., O’Reilly, É. J., Okereke, O. I., Hu, F. B., Willett, W. C., & Ascherio, A. (2013) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2013.09.014 · Cited by 226
Self-citationKhan, T. A., & Sievenpiper, J. L. (2016) · Zeitschrift für Ernährungswissenschaft · doi:10.1007/s00394-016-1345-3 · Cited by 232
Aune, D. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz042 · Cited by 222
Ruan, Y., Sun, J. M., He, J., Chen, F., Chen, R., & Chen, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132121 · Cited by 221
Consumers’ perceived barriers to following a plant-based diet
Pohjolainen, P., Vinnari, M., & Jokinen, P. (2015) · British Food Journal · doi:10.1108/bfj-09-2013-0252 · Cited by 214
Pimpin, L., Wu, J. H. Y., Haskelberg, H., Gobbo, L. C. D., & Mozaffarian, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158118 · Cited by 221
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
Self-citationHooda, J., Shah, A. N., & Li, Z. (2014) · Nutrients · doi:10.3390/nu6031080 · Cited by 222
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
Self-citationStrategies to reduce meat consumption: A systematic literature review of experimental studies
Harguess, J. M., Crespo, N. C., & Hong, M. Y. (2019) · Appetite · doi:10.1016/j.appet.2019.104478 · Cited by 233
Plant-Based Meats, Human Health, and Climate Change
van Vliet, S., Kronberg, S. L., & Provenza, F. D. (2020) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2020.00128 · Cited by 222
Schoenaker, D. A. J. M., Mishra, G. D., Callaway, L. K., & Soedamah-Muthu, S. S. (2016) · Diabetes Care · doi:10.2337/dc15-0540 · Cited by 206
Nie, Q., Chen, H., Hu, J., Fan, S., & Nie, S. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1536646 · Cited by 207
Red meat intake and risk of coronary heart disease among US men: prospective cohort study
Al-Shaar, L., Satija, A., Wang, D. D., Rimm, E. B., Smith-Warner, S. A., Stampfer, M. J., Hu, F. B., & Willett, W. C. (2020) · BMJ · doi:10.1136/bmj.m4141 · Cited by 202
Self-citationBoada, 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
Involvement of a Non-Human Sialic Acid in Human Cancer
Samraj, A. N., Läubli, H., Varki, N., & Varki, A. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00033 · Cited by 196
Meat and Human Health—Current Knowledge and Research Gaps
Geiker, N. R. W., Bertram, H. C., Mejborn, H., Dragsted, L. O., Kristensen, L., Ruiz, J., Bügel, S., & Astrup, A. V. (2021) · Foods · doi:10.3390/foods10071556 · Cited by 212
Red Meat Consumption and Risk of Stroke: A Meta-Analysis of Prospective Studies
Kaluza, J., Wolk, A., & Larsson, S. C. (2012) · Stroke · doi:10.1161/strokeaha.112.663286 · Cited by 187
Fried Food Consumption and Cardiovascular Health: A Review of Current Evidence
Gadiraju, T. V., Patel, Y. R., Gaziano, J. M., & Djoussé, L. (2015) · Nutrients · doi:10.3390/nu7105404 · Cited by 184
O’Connor, L. M., Lentjes, M. A. H., Luben, R., Khaw, K., Wareham, N. J., & Forouhi, N. G. (2014) · Diabetologia · doi:10.1007/s00125-014-3176-1 · Cited by 182
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
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
Self-citationCahill, L. E., Pan, A., Chiuve, S. E., Sun, Q., Willett, W. C., Hu, F. B., & Rimm, E. B. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.084129 · Cited by 180
Self-citationLaine, J. E., Huybrechts, I., Gunter, M. J., Ferrari, P., Weiderpass, E., Tsilidis, K. K., Aune, D., Schulze, M. B., Bergmann, M., Temme, E. H. M., et al. (2021) · The Lancet Planetary Health · doi:10.1016/s2542-5196(21)00250-3 · Cited by 181
Self-citationTian, S., Xu, Q., Jiang, R., Han, T., Sun, C., & Na, L. (2017) · Nutrients · doi:10.3390/nu9090982 · Cited by 185
Red meat, diseases, and healthy alternatives: A critical review
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Toumpanakis, A., Turnbull, T., & Alba-Barba, I. (2018) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2018-000534 · Cited by 170
Papier, K., Fensom, G. K., Knuppel, A., Appleby, P. N., Tong, T. Y. N., Schmidt, J. A., Travis, R. C., Key, T. J., & Perez-Cornago, A. (2021) · BMC Medicine · doi:10.1186/s12916-021-01922-9 · Cited by 168
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Strate, L. L., Keeley, B. R., Cao, Y., Wu, K., Giovannucci, E. L., & Chan, A. T. (2017) · Gastroenterology · doi:10.1053/j.gastro.2016.12.038 · Cited by 167
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Wu, J. H. Y., Micha, R., & Mozaffarian, D. (2019) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0206-1 · Cited by 172
Liu, J., Bai, R., Chai, Z., Cooper, M. E., Zimmet, P., & Zhang, L. (2022) · Diabetologia · doi:10.1007/s00125-022-05713-6 · Cited by 165
Dong, J.-Y., Zhang, Z.-L., Wang, P.-Y., & Qin, L.-Q. (2013) · British Journal Of Nutrition · doi:10.1017/s0007114513002055 · Cited by 163
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Ardisson Korat, A. V., Willett, W. C., & Hu, F. B. (2014) · Current Nutrition Reports · doi:10.1007/s13668-014-0103-5 · Cited by 162
Self-citationvon Ruesten, A., Feller, S., Bergmann, M. M., & Boeing, H. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.7 · Cited by 162
Bao, W., Bowers, K., Tobias, D. K., Hu, F. B., & Zhang, C. (2013) · Diabetes Care · doi:10.2337/dc12-2018 · Cited by 159
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Sanghera, D. K., & Blackett, P. R. (2012) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.1000198 · Cited by 167
Ferrari, L., Panaite, S.-A., Bertazzo, A., & Visioli, F. (2022) · Nutrients · doi:10.3390/nu14235115 · Cited by 183
Alisson-Silva, F., Kawanishi, K., & Varki, A. (2016) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2016.07.002 · Cited by 156
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Milner, J., Green, R., Dangour, A. D., Haines, A., Chalabi, Z., Spadaro, J. V., Markandya, A., & Wilkinson, P. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-007364 · Cited by 163
Storz, M. (2021) · European Journal of Clinical Nutrition · doi:10.1038/s41430-021-01023-z · Cited by 131
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Leucine signaling in the pathogenesis of type 2 diabetes and obesity
Melnik, B. C. (2012) · World Journal of Diabetes · doi:10.4239/wjd.v3.i3.38 · Cited by 141
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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