The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
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.
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?
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 [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]
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
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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 713
Time Trends of Dietary and Lifestyle Factors and Their Potential Impact on Diabetes Burden in China
Li, Y., Wang, D. D., Ley, S. H., Malik, V., Howard, A. G., He, Y., & Hu, F. B. (2017) · Diabetes Care · doi:10.2337/dc17-0571 · Cited by 140
Self-citationKralik, G., Kralik, Z., Grčević, M., & Hanžek, D. (2018) · InTech eBooks · doi:10.5772/intechopen.72865 · Cited by 139
Dietary and policy priorities to reduce the global crises of obesity and diabetes
Mozaffarian, D. (2020) · Nature Food · doi:10.1038/s43016-019-0013-1 · Cited by 135
Floegel, A., von Ruesten, A., Drogan, D., Schulze, M. B., Prehn, C. P., Adamski, J., Pischon, T., & Boeing, H. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.147 · Cited by 139
Self-citationNeuenschwander, 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
Viguiliouk, E., Stewart, S., Jayalath, V., Ng, A., Mirrahimi, A., De Souza, R., Hanley, A., Bazinet, R., Blanco Mejia, S., Leiter, L., et al. (2015) · Nutrients · doi:10.3390/nu7125509 · Cited by 130
Aston, L. M., Smith, J. N., & Powles, J. W. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001072 · Cited by 131
La, J., Roberts, N. H., & Yafi, F. A. (2017) · Sexual Medicine Reviews · doi:10.1016/j.sxmr.2017.07.004 · Cited by 128
Jayedi, A., & Shab-Bidar, S. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa029 · Cited by 124
Environmental and economic sustainability of the Mediterranean Diet
Germani, A., Vitiello, V., Giusti, A. M., Pinto, A., Donini, L. M., & del Balzo, V. (2014) · International Journal of Food Sciences and Nutrition · doi:10.3109/09637486.2014.945152 · Cited by 129
Development of a Danish Adapted Healthy Plant-Based Diet Based on the EAT-Lancet Reference Diet
Lassen, A. D., Christensen, L. M., & Trolle, E. (2020) · Nutrients · doi:10.3390/nu12030738 · Cited by 130
Meeting the global protein supply requirements of a growing and ageing population
Smith, K., Watson, A. W., Lonnie, M., Peeters, W., Oonincx, D. G. A. B., Tsoutsoura, N., Simon‐Miquel, G., Szepe, K. J., Cochetel, N., Pearson, A. G., et al. (2024) · European Journal of Nutrition · doi:10.1007/s00394-024-03358-2 · Cited by 123
Katz, D. L., Davidhi, A., Ma, Y., Kavak, Y., Bifulco, L., & Njike, V. Y. (2012) · Journal of the American College of Nutrition · doi:10.1080/07315724.2012.10720468 · Cited by 123
Higher Dietary Flavonol Intake Is Associated with Lower Incidence of Type 2 Diabetes
Jacques, P. F., Cassidy, A., Rogers, G. T., Peterson, J. J., Meigs, J. B., & Dwyer, J. T. (2013) · Journal of Nutrition · doi:10.3945/jn.113.177212 · Cited by 122
Dhar, C., Sasmal, A., & Varki, A. P. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00807 · Cited by 127
Biomarkers of meat and seafood intake: an extensive literature review
Cuparencu, C., Praticò, G., Hemeryck, L., Harsha, P. S. C. S., Noerman, S., Rombouts, C., Xi, M., Vanhaecke, L., Hanhineva, K., Brennan, L., et al. (2019) · Genes & Nutrition · doi:10.1186/s12263-019-0656-4 · Cited by 125
A priori-defined diet quality indexes and risk of type 2 diabetes: the multiethnic cohort
Jacobs, S., Harmon, B. E., Boushey, C. J., Morimoto, Y., Wilkens, L. R., Le Marchand, L., Kröger, J., Schulze, M. B., Kolonel, L. N., & Maskarinec, G. (2015) · Diabetologia · doi:10.1007/s00125-014-3404-8 · Cited by 121
Self-citationInsects as feed and the Sustainable Development Goals
Dicke, M. (2018) · Journal of Insects as Food and Feed · doi:10.3920/jiff2018.0003 · Cited by 134
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
Self-citationShould dietary guidelines recommend low red meat intake?
Leroy, F., & Cofnas, N. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2019.1657063 · Cited by 130
Health-Promoting Phytonutrients Are Higher in Grass-Fed Meat and Milk
van Vliet, S., Provenza, F. D., & Kronberg, S. L. (2021) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2020.555426 · Cited by 130
Epidemiological associations between iron and cardiovascular disease and diabetes
Basuli, D., Stevens, R. G., Torti, F. M., & Torti, S. V. (2014) · Frontiers in Pharmacology · doi:10.3389/fphar.2014.00117 · Cited by 124
Alhazmi, A. H., Stojanovski, E., McEvoy, M., & Garg, M. L. (2013) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12139 · Cited by 122
Mathur, M. B., Peacock, J., Reichling, D. B., Nadler, J., Bain, P. A., Gardner, C. D., & Robinson, T. N. (2021) · Appetite · doi:10.1016/j.appet.2021.105277 · Cited by 125
High intakes of protein and processed meat associate with increased incidence of type 2 diabetes
Ericson, U., Sonestedt, E., Gullberg, B., Hellstrand, S., Hindy, G., Wirfält, E., & Orho‐Melander, M. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512003017 · Cited by 119
Virtanen, J. K., Mursu, J., Voutilainen, S., Uusitupa, M. I. J., & Tuomainen, T. (2013) · Diabetes Care · doi:10.2337/dc13-1504 · Cited by 121
Guasch-Ferré, M., Becerra-Tomás, N., Ruiz-Canela, M., Corella, D., Schröder, H., Estruch, R., Ros, E., Arós, F., Gómez-Gracia, E., Fiol, M., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.142034 · Cited by 112
Self-citationThe low-carbohydrate diet and cardiovascular risk factors: evidence from epidemiologic studies
Hu, T., & Bazzano, L. A. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.12.008 · Cited by 112
Vegetarian Diets and the Risk of Diabetes
Olfert, M. D., & Wattick, R. A. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1070-9 · Cited by 111
Meat intake and risk of diverticulitis among men
Cao, Y., Strate, L. L., Keeley, B. R., Tam, I., Wu, K., Giovannucci, E. L., & Chan, A. T. (2017) · Gut · doi:10.1136/gutjnl-2016-313082 · Cited by 110
The Jiangnan diet, a healthy diet pattern for Chinese
Wang, J., Lin, X., Bloomgarden, Z. T., & Ning, G. (2019) · Journal of Diabetes · doi:10.1111/1753-0407.13015 · Cited by 108
Food Processing and the Mediterranean Diet
Hoffman, R. M., & Gerber, M. (2015) · Nutrients · doi:10.3390/nu7095371 · Cited by 109
Kim, Y., & Je, Y. (2018) · Nutrients · doi:10.3390/nu10040390 · Cited by 107
Reverse thinking: taking a healthy diet perspective towards food systems transformations
Brouwer, I. D., van Liere, M. J., de Brauw, A., Domínguez-Salas, P., Herforth, A., Kennedy, G., Lachat, C. K., Omosa, E., Talsma, E. F., Vandevijvere, S., et al. (2021) · Food Security · doi:10.1007/s12571-021-01204-5 · Cited by 114
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
Self-citationYu, Z., Nan, F., Wang, L. Y., Jiang, H., Chen, W., & Jiang, Y. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2019.08.008 · Cited by 100
Ley, S. H., Korat, A. V. A., Sun, Q., Tobias, D. K., Zhang, C., Qi, L., Willett, W. C., Manson, J. E., & Hu, F. B. (2016) · American Journal of Public Health · doi:10.2105/ajph.2016.303314 · Cited by 116
Self-citationKaplan, A., Zelicha, H., Tsaban, G., Meir, A. Y., Rinott, E., Kovsan, J., Novack, L., Thiery, J., Ceglarek, U., Burkhardt, R., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.12.009 · Cited by 104
HECKE, T. V., Camp, J. V., & SMET, S. D. (2017) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12248 · Cited by 101
Duration of obesity and overweight and risk of type 2 diabetes among US women
Hu, Y., Bhupathiraju, S. N., de Koning, L., & Hu, F. B. (2014) · Obesity · doi:10.1002/oby.20851 · Cited by 104
Self-citationSocial, temporal and situational influences on meat consumption in the UK population
Horgan, G. W., Scalco, A. R., Craig, T. P., Whybrow, S., & Macdiarmid, J. I. (2019) · Appetite · doi:10.1016/j.appet.2019.03.007 · Cited by 110
Fretts, A. M., Howard, B. V., McKnight, B., Duncan, G. E., Beresford, S. A. A., Méte, M., Eilat-Adar, S., Zhang, Y., & Siscovick, D. S. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.029942 · Cited by 100
Chen, Z., Franco, O. H., Lamballais, S., Ikram, M. A., Schoufour, J. D., Muka, T., & Voortman, T. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.01.021 · Cited by 94
Red meat intake in chronic kidney disease patients: Two sides of the coin
Mafra, D., Borges, N. A., Cardozo, L. F. M. D. F., Anjos, J. S., Black, A. P., Moraes, C., Bergman, P., Lindholm, B., & Stenvinkel, P. (2018) · Nutrition · doi:10.1016/j.nut.2017.08.015 · Cited by 93
A Prospective Study of Dietary Meat Intake and Risk of Incident Chronic Kidney Disease
Mirmiran, P., Yuzbashian, E., Aghayan, M., Mahdavi, M., Asghari, G., & Azizi, F. (2019) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2019.06.008 · Cited by 96
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
Self-citationMeat Consumption as a Risk Factor for Type 2 Diabetes
Barnard, N. D., Levin, S., & Trapp, C. (2014) · Nutrients · doi:10.3390/nu6020897 · Cited by 106
Nettleton, J. A., Hivert, M.-F., Lemaitre, R. N., McKeown, N. M., Mozaffarian, D., Tanaka, T., Wojczynski, M. K., Hruby, A., Djoussé, L., Ngwa, J. S., et al. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws297 · Cited by 89
Self-citationGrosso, G., Micek, A., Godos, J., Pająk, A., Sciacca, S., Galvano, F., & Boffetta, P. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183787 · Cited by 92
The InterAct Consortium (2013) · Diabetologia · doi:10.1007/s00125-013-3092-9 · Cited by 92
Lenighan, Y. M., McNulty, B. A., & Roche, H. M. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s0029665118002793 · Cited by 89
Inclusion of red meat in healthful dietary patterns
McNeill, S. H. (2014) · Meat Science · doi:10.1016/j.meatsci.2014.06.028 · Cited by 93
Meat Consumption and Its Association With C-Reactive Protein and Incident Type 2 Diabetes
Woudenbergh, G. J. G.-V., Kuijsten, A., Tigcheler, B., Sijbrands, E. J. G., van Rooij, F. J. A., Albert Hofman, D., Witteman, J. C. M., & Feskens, E. J. M. (2012) · Diabetes Care · doi:10.2337/dc11-1899 · Cited by 90
The Role of the Gut Microbiota on the Beneficial Effects of Ketogenic Diets
Attaye, I., van Oppenraaij, S. L., Warmbrunn, M. V., & Nieuwdorp, M. (2021) · Nutrients · doi:10.3390/nu14010191 · Cited by 85
Grosso, G., Vignera, S. L., Condorelli, R. A., Godos, J., Marventano, S., Tieri, M., Ghelfi, F., Titta, L., Lafranconi, A., Gambera, A., et al. (2022) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2022.2050996 · Cited by 88
Alhazmi, A., Stojanovski, E., McEvoy, M., & Garg, M. L. (2012) · Journal of the American College of Nutrition · doi:10.1080/07315724.2012.10720425 · Cited by 81
Frank, S. M., Jaacks, L. M., Adair, L. S., Avery, C. L., Meyer, K. A., Rose, D. D., & Taillie, L. S. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.10.018 · Cited by 81
Current lifestyle factors that increase risk of T2DM in China
Zhang, N., Du, S., & S, G. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.41 · Cited by 82
Iron in red meat–friend or foe
Czerwonka, M., & Tokarz, A. (2016) · Meat Science · doi:10.1016/j.meatsci.2016.09.012 · Cited by 82
Research Journal of Agriculture and Forestry Sciences
Sharma, P. P. P. (2020) · ADVANCED SCIENCES INDEX · Cited by 80
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
Petersen, K. H., Flock, M. R., Richter, C. K., Mukherjea, R., Slavin, J. L., & Kris‐Etherton, P. M. (2017) · Current Developments in Nutrition · doi:10.3945/cdn.117.001289 · Cited by 82
Wang, S., He, B., Hang, W., Wu, N., Xia, L., Wang, X., Zhang, Q., Zhou, X., Feng, Z., Chen, Q., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180497 · Cited by 76
Chang, K. M., Hess, J. J., Balbus, J. M., Buonocore, J. J., Cleveland, D. A., Grabow, M., Neff, R., Saari, R. K., Tessum, C. W., Wilkinson, P., et al. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa8f7b · Cited by 84
Foerster, J., Maskarinec, G., Reichardt, N., Tett, A., Narbad, A., Blaut, M., & Boeing, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109606 · Cited by 79
O’Connor, L. E., Paddon‐Jones, D., Wright, A. J., & Campbell, W. W. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy075 · Cited by 77
Virtanen, J. K., Mursu, J., Tuomainen, T., Virtanen, H. E., & Voutilainen, S. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.104109 · Cited by 76
Bao, W., Li, S., Chavarro, J. E., Tobias, D. K., Zhu, Y., Hu, F. B., & Zhang, C. (2015) · Diabetes Care · doi:10.2337/dc15-1642 · Cited by 75
Self-citationBranched-chain amino acid, meat intake and risk of type 2 diabetes in the Women’s Health Initiative
Isanejad, M., LaCroix, A. Z., Thomson, C. A., Tinker, L. F., Larson, J. C., Qi, Q., Qi, L., Cooper‐DeHoff, R. M., Phillips, L. S., Prentice, R. L., et al. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517001568 · Cited by 74
Meat and fish intake and type 2 diabetes: Dose–response meta-analysis of prospective cohort studies
Yang, X., Li, Y., Wang, C., Mao, Z., Zhou, W., Zhang, L., Fan, M., Cui, S., & Li, L. (2020) · Diabetes & Metabolism · doi:10.1016/j.diabet.2020.03.004 · Cited by 79
Consumption of dairy in teenagers with and without acne
LaRosa, C. L., Quach, K. A., Koons, K., Kunselman, A. R., Zhu, J., Thiboutot, D. M., & Zaenglein, A. L. (2016) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2016.04.030 · Cited by 72
Zhao, Z., Yin, Z., Pu, Z., & Zhao, Q. (2016) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2016.09.143 · Cited by 72
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
Self-citationVegetarian Diets in the Prevention and Treatment of Type 2 Diabetes
Kahleová, H., & Pelikánová, T. (2015) · Journal of the American College of Nutrition · doi:10.1080/07315724.2014.976890 · Cited by 72
Healthy and Climate-Friendly Eating Patterns in the New Zealand Context
Drew, J., Cleghorn, C., Macmillan, A. K., & Mizdrak, A. (2020) · Environmental Health Perspectives · doi:10.1289/ehp5996 · Cited by 71
White, D., & Collinson, A. (2013) · Advances in Nutrition · doi:10.3945/an.113.003681 · Cited by 70
Virtanen, H. E., Koskinen, T. T., Voutilainen, S., Mursu, J., Tuomainen, T., Kokko, P., & Virtanen, J. K. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517000745 · Cited by 72
Klementová, M., Thieme, L., Haluzík, M., Pavlovičová, R., Hill, M., Pelikánová, T., & Kahleová, H. (2019) · Nutrients · doi:10.3390/nu11010157 · Cited by 73
Iqbal, S., & Ekmekçioğlu, C. (2017) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2017.1406915 · Cited by 68
Becerra‐Tomás, N., Babió, N., Martínez‐González, M. Á., Corella, D., Estruch, R., Ros, E., Fitó, M., Serra‐Majem, L., Lete, I. S., Lamuela-Raventós, R. M., et al. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.03.017 · Cited by 69
Rousseau, M., Guénard, F., Garneau, V., Allam‐Ndoul, B., Lemieux, S., Përusse, L., & Vohl, M. (2019) · Nutrients · doi:10.3390/nu11010173 · Cited by 68
Metabolomics as a tool in the identification of dietary biomarkers
Gibbons, H., & Brennan, L. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s002966511600032x · Cited by 73
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
Meat, Meat Products and Seafood as Sources of Energy and Nutrients in the Average Polish Diet
Laskowski, W., Górska-Warsewicz, H., & Kulykovets, O. (2018) · Nutrients · doi:10.3390/nu10101412 · Cited by 68
on behalf of the China Kadoorie Biobank collaborative group, Du, H., Yu, C., Bennett, D., Bragg, F., Bian, Z., Chadni, M., Yu, C., Chen, Y., Tan, Y., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05091-x · Cited by 65
Foods, obesity, and diabetes—are all calories created equal?
Mozaffarian, D. (2017) · Nutrition Reviews · doi:10.1093/nutrit/nuw024 · Cited by 70
Red meat consumption and risk of frailty in older women
Struijk, E. A., Fung, T. T., Sotos‐Prieto, M., Rodríguez‐Artalejo, F., Willett, W. C., Hu, F. B., & López‐García, E. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12852 · Cited by 64
Self-citationKurotani, 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
Marí-Sanchis, A., Díaz-Jurado, G., Basterra-Gortari, F. J., de la Fuente‐Arrillaga, C., Martínez‐González, M. Á., & Bes‐Rastrollo, M. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1377-3 · Cited by 65
Springmann, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319010121 · Cited by 68
Quan, W., Zeng, M., Ye, J., Li, Y., Xue, C., Liu, G., Wang, Z., Qin, F., He, Z., & Chen, J. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa184 · Cited by 65
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
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
Self-citationKennedy, J., Alexander, P., Taillie, L. S., & Jaacks, L. M. (2024) · The Lancet Planetary Health · doi:10.1016/s2542-5196(24)00118-9 · Cited by 63
Does Menopause Increase Diabetes Risk? Strategies for Diabetes Prevention in Midlife Women
Kim, C. (2012) · Women s Health · doi:10.2217/whe.11.95 · Cited by 61
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
Self-citationVita, G. A. D., Blanc, S., Brun, F., Bracco, S., & D’Amico, M. (2019) · Meat Science · doi:10.1016/j.meatsci.2019.04.013 · Cited by 62
Würtz, A. M. L., Jakobsen, M. U., Bertoia, M. L., Hou, T., Schmidt, E. B., Willett, W. C., Overvad, K., Sun, Q., Manson, J. E., Hu, F. B., et al. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa284 · Cited by 63
Self-citationIs the consumption of fast foods associated with asthma or other allergic diseases?
Wang, C. S., Wang, J., Zhang, X., Zhang, L., Zhang, H. P., Wang, G., Wood, L. G., & Wang, G. (2018) · Respirology · doi:10.1111/resp.13339 · Cited by 59
Chemical hazards in smoked meat and fish
Afé, O. H. I., Kpoclou, Y. E., Douny, C., Anihouvi, V. B., Igout, A., Mahillon, J., Hounhouigan, J. D., & Scippo, M. (2021) · Food Science & Nutrition · doi:10.1002/fsn3.2633 · Cited by 58
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.
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