The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A Prospective Study of Red Meat Consumption and Type 2 Diabetes in Middle-Aged and Elderly Women
Abstract
OBJECTIVE: The aim of this study was to prospectively assess the relation between red meat intake and incidence of type 2 diabetes. RESEARCH DESIGN AND METHODS: Over an average of 8.8 years, we evaluated 37,309 participants in the Women's Health Study aged >/=45 years who were free of cardiovascular disease, cancer, and type 2 diabetes and completed validated semiquantitative food frequency questionnaires in 1993. RESULTS: During 326,876 person-years of follow-up, we documented 1,558 incident cases of type 2 diabetes. After adjusting for age, BMI, total energy intake, exercise, alcohol intake, cigarette smoking, and family history of diabetes, we found positive associations between intakes of red meat and processed meat and risk of type 2 diabetes. Comparing women in the highest quintile with those in the lowest quintile, the multivariate-adjusted relative risks (RRs) of type 2 diabetes were 1.28 for red meat (95% CI 1.07-1.53, P < 0.001 for trend) and 1.23 for processed meat intake (1.05-1.45, P = 0.001 for trend). Furthermore, the significantly increased diabetes risk appeared to be most pronounced for frequent consumption of total processed meat (RR 1.43, 95% CI 1.17-1.75 for >/=5/week vs. <1/month, P < 0.001 for trend) and two major subtypes, which were bacon (1.21, 1.06-1.39 for >/=2/week vs. <1/week, P = 0.004 for trend) and hot dogs (1.28, 1.09-1.50 for >/=2/week vs. <1/week, P = 0.003 for trend). These results remained significant after further adjustment for intakes of dietary fiber, magnesium, glycemic load, and total fat. Intakes of total cholesterol, animal protein, and heme iron were also significantly associated with a higher risk of type 2 diabetes. CONCLUSIONS: Our data indicate that higher consumption of total red meat, especially various processed meats, may increase risk of developing type 2 diabetes in women.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“in large cohort studies, saturated fat is not associated with development of T2DM, after adjustment for BMI, total dietary fiber, or magnesium intake (144–149).”
From Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System (2015) · cites this paper as [148]
Citations
Cites
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
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
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
Total energy intake: implications for epidemiologic analyses.
WILLETT, W., & STAMPFER, M. J. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114366 · Cited by 2,751
RE: “TOTAL ENERGY INTAKE: IMPLICATIONS FOR EPIDEMIOLOGIC ANALYSES”
Palmgren, J., & Kushi, L. H. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115841 · Cited by 2,712
Feskanich, D., Rimm, E. B., Giovannucci, E. L., Colditz, G. A., Stampfer, M. J., Litin, L. B., & Willett, W. C. (1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)91754-e · Cited by 1,070
Dietary Patterns and Risk for Type 2 Diabetes Mellitus in U.S. Men
van Dam, R. M., Rimm, E. B., Willett, W. C., Stampfer, M. J., & Hu, F. B. (2002) · Annals of Internal Medicine · doi:10.7326/0003-4819-136-3-200202050-00008 · Cited by 801
Diet and risk of type II diabetes: the role of types of fat and carbohydrate
Hu, F. B., Liu, S., & van Dam, R. M. (2001) · Diabetologia · doi:10.1007/s001250100547 · Cited by 758
Self-citationVlassara, H., Cai, W., Crandall, J., Goldberg, T., Oberstein, R., Dardaine, V., Peppa, M., & Rayfield, E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242407999 · Cited by 668
Cited by
Sorted by citations
Items 201–300 of 368
Schneider, A. L. C., Gottesman, R. F., Mosley, T. H., Alonso, Á., Knopman, D. S., Coresh, J., Sharrett, A. R., & Selvin, E. (2012) · Neuroepidemiology · doi:10.1159/000342308 · Cited by 27
Joslowski, G., Remer, T., Assmann, K. E., Krupp, D., Cheng, G., Garnett, S. P., Kroke, A., Wudy, S. A., Günther, A. L. B., & Buyken, A. E. (2013) · Journal of Nutrition · doi:10.3945/jn.113.175877 · Cited by 27
Jahan, M., Thomson, P. C., WYNN, P. C., & Wang, B. (2020) · Food Chemistry · doi:10.1016/j.foodchem.2020.128439 · Cited by 27
Meat Intake and Insulin Resistance in Women without Type 2 Diabetes
Tucker, L. A., LeCheminant, J. D., & Bailey, B. W. (2015) · Journal of Diabetes Research · doi:10.1155/2015/174742 · Cited by 28
Serum uric acid and metabolic risk
Richette, P., & Pérez-Ruiz, F. (2013) · Current Medical Research and Opinion · doi:10.1185/03007995.2013.790801 · Cited by 26
Meat consumption and the risk of general and central obesity: the Shahedieh study
Khodayari, S., Sadeghi, O., Safabakhsh, M., & Mozaffari–Khosravi, H. (2022) · BMC Research Notes · doi:10.1186/s13104-022-06235-5 · Cited by 25
Coello, S. D., de León, A. C., Pérez, M. D. C. R., Álamo, C. B., Fernández, L. C., González, D. A., Yanes, J. G., Hernández, A. G., Díaz, B. B., & Aguirre‐Jaime, A. (2010) · European Journal of Nutrition · doi:10.1007/s00394-010-0110-2 · Cited by 25
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
Anjom-Shoae, J., Feinle‐Bisset, C., & Horowitz, M. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1412182 · Cited by 31
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
Mirmiran, P., Bahadoran, Z., Esfandyari, S., & Azizi, F. (2017) · Nutrients · doi:10.3390/nu9090971 · Cited by 24
Food Group Consumption and Glycemic Control in People With and Without Type 2 Diabetes
Papakonstantinou, E., Panagiotakos, D. B., Pitsavos, C., Chrysohoou, C. A., Zampelas, A., Skoumas, Y., & Stefanadis, C. (2005) · Diabetes Care · doi:10.2337/diacare.28.10.2539 · Cited by 24
de Baca, T. C., Peña, M. S. B., Slopen, N. B., Williams, D. R., Buring, J. E., & Albert, M. A. (2019) · American Heart Journal · doi:10.1016/j.ahj.2019.06.002 · Cited by 22
Self-citationMuntoni, S., & Muntoni, S. (2005) · Annals of Nutrition and Metabolism · doi:10.1159/000089559 · Cited by 22
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
Effectiveness of a behavior modification program for older people with uncontrolled Type 2 Diabetes
Ounnapiruk, L., Wirojratana, V., Meehatchai, N., & Turale, S. (2013) · Nursing and Health Sciences · doi:10.1111/nhs.12089 · Cited by 21
Goulart, A. C., Rexrode, K. M., Cheng, S., Rose, L. M., Buring, J. E., Ridker, P. M., & Zee, R. Y. L. (2009) · American Heart Journal · doi:10.1016/j.ahj.2009.05.015 · Cited by 21
Self-citationPlant 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
Haile, D., Harding, K. L., McLaughlin, S. A., Ashbaugh, C., Garcia, V., Gilbertson, N. M., Kifle, H., Parent, M. C., Sorensen, R. J. D., Hay, S. I., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03775-8 · Cited by 21
Schulze, M. B., Haardt, J., Amini, A. M., Kalotai, N., Lehmann, A. C., Schmidt, A., Buyken, A. E., Egert, S., Ellinger, S., Kroke, A., et al. (2023) · European Journal of Nutrition · doi:10.1007/s00394-023-03234-5 · Cited by 22
Schulze, M. B., & Hu, F. B. (2013) · Springer eBooks · doi:10.1007/978-0-387-09834-0_66 · Cited by 20
Longstreet, D. A., Heath, D., Panaretto, K. S., & Vink, R. (2007) · Rural and Remote Health · doi:10.22605/rrh843 · Cited by 20
Sharma, H. M., & Chandola, H. (2011) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2010.0397 · Cited by 24
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
Dietary Proteins: Functions, Health Benefits and Healthy Aging
Shevkani, K., & Chourasia, S. (2021) · Healthy ageing and longevity · doi:10.1007/978-3-030-83017-5_1 · Cited by 20
Nutrient intakes and dysglycaemia in populations of West African origin
Anderson, S. G., Younger, N. O. M., Heald, A. H., Tulloch-Reid, M. K., Simukonda, W. P., Mbanya, J. C., Jackson, M. D., Balkau, B., Sharma, S., Tanya, A., et al. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114510003399 · Cited by 18
Caveats for the Good and Bad of Dietary Red Meat
Omaye, A. T., & Omaye, S. T. (2019) · Antioxidants · doi:10.3390/antiox8110544 · Cited by 21
Voortman, T., Vitezova, A., Bramer, W. M., Ars, C. L., Bautista‐Niño, P. K., Buitrago-López, A., Felix, J. F., Leermakers, E. T. M., Sajjad, A., Sedaghat, S., et al. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114514003699 · Cited by 18
The fructose survival hypothesis as a mechanism for unifying the various obesity hypotheses
Johnson, R. J., Sánchez‐Lozada, L. G., & Lanaspa, M. A. (2023) · Obesity · doi:10.1002/oby.23920 · Cited by 20
Chen, T., Ren, Y., Liu, Y., Long, Y., Zhang, X., Yu, H., Xu, J. R., Yu, T., & Tian, H. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.09.017 · Cited by 15
Dietary Protein Intake and Type 2 Diabetes Among Women and Men in Northeast China
Li, J., Sun, C., Liu, S., & Li, Y. (2016) · Scientific Reports · doi:10.1038/srep37604 · Cited by 17
Self-citationChapter 7 Biomarkers in Long‐Term Vegetarian Diets
Benzie, I. F. F., & Wachtel-Galor, S. (2009) · Advances in clinical chemistry · doi:10.1016/s0065-2423(09)47007-0 · Cited by 21
Kim, H., & Park, K. (2011) · 대한지역사회영양학회지 · doi:10.5720/kjcn.2011.16.3.364 · Cited by 16
Diet/lifestyle and risk of diabetes and glycemic traits: a Mendelian randomization study
Ding, R., Huang, T., & Han, J. (2018) · Lipids in Health and Disease · doi:10.1186/s12944-018-0666-z · Cited by 16
Do people really want to be informed? Ex-ante evaluations of information-campaign effectiveness
Espinosa, R., & Stoop, J. (2021) · Experimental Economics · doi:10.1007/s10683-020-09692-6 · Cited by 16
Self-reported consumption frequency of meat and fish products among young adults in Kazakhstan
Akhmetova, V., Balji, Y., Kandalina, Y., Iskineyeva, A. S., Mukhamejanova, A., Baspakova, A. M., Uzakov, Y. M., Issayeva, K. S., & Zamaratskaia, G. (2022) · Nutrition and Health · doi:10.1177/02601060221114230 · Cited by 16
Baghdasarian, S., Lin, H.-P., Pickering, R. T., Mott, M. M., Singer, M. R., Bradlee, M. L., & Moore, L. L. (2018) · Nutrients · doi:10.3390/nu10060665 · Cited by 16
Matta, J., Mayo, N. E., Dionne, I. J., Gaudreau, P., Fülöp, T., Tessier, D., Gray‐Donald, K., Shatenstein, B., & Morais, J. A. (2015) · The journal of nutrition health & aging · doi:10.1007/s12603-015-0554-4 · Cited by 16
Pixner, T., Stummer, N., Schneider, A.-M., Lukas, A., Gramlinger, K., Julian, V., Thivel, D., Mörwald, K., Maruszczak, K., Mangge, H., et al. (2022) · Life · doi:10.3390/life12060839 · Cited by 17
Deshmukh, A. S., Salehzadeh, F., Métayer, S., Fahlman, R., Nair, K. S., & Al‐Khalili, L. (2009) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-009-8818-y · Cited by 15
Exploring genome-wide – dietary heme iron intake interactions and the risk of type 2 diabetes
Pasquale, L. R., Loomis, S. J., Aschard, H., Kang, J. H., Cornelis, M. C., Qi, L., Kraft, P., & Hu, F. B. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00007 · Cited by 15
Vitamin D decreases pancreatic iron overload in type 2 diabetes through the NF-κB-DMT1 pathway
Zhao, Y., Mei, G., Zhou, F., Kong, B., Chen, L., Chen, H., Wang, L., Tang, Y., & Yao, P. (2021) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2021.108870 · 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
Mazidi, M., Mikhailidis, D. P., & Banach, M. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.03.035 · Cited by 14
Goulart, A. C., Zee, R. Y. L., Pradhan, A. D., & Rexrode, K. M. (2008) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0030 · Cited by 15
Meat Intake Increases Risk of Weight Gain in Women: A Prospective Cohort Investigation
Tucker, L. A., Tucker, J. M., Bailey, B. W., & LeCheminant, J. D. (2013) · American Journal of Health Promotion · doi:10.4278/ajhp.130314-quan-112 · Cited by 14
Ancu, O., Mickute, M., Guess, N. D., Hurren, N. M., Burd, N. A., & Mackenzie, R. W. (2020) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2020-0396 · Cited by 20
Dietary associations with diabetic retinopathy—A cohort study
Kadri, R., Vishwanath, P., Parameshwar, D., Hegde, S., & Kudva, A. A. (2021) · Indian Journal of Ophthalmology · doi:10.4103/ijo.ijo_253_20 · Cited by 14
Li, Y., Pei, H., Zhou, C., & Lou, Y. (2022) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2022.07.016 · Cited by 15
Chen, B. H., Song, Y., Ding, E. L., Manson, J. E., Roberts, C. K., Rifai, N., Buring, J. E., Gaziano, J. M., & Liu, S. (2010) · PubMed Central · Cited by 14
Self-citationMuschalik, C., Crutzen, R., Candel, M. J. J. M., Elfeddali, I., & de Vries, H. (2020) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2020.1730843 · Cited by 12
Candidate loci shared among periodontal disease, diabetes and bone density
Yu, Y., Steffensen, B., Ridker, P. M., Buring, J. E., & Chasman, D. I. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1016373 · Cited by 12
Self-citationA Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications
Dwivedi, J., Kaushal, S., Wal, P., Chandrashekhar, D. J., Sharma, A., Nathiya, D., & Gasmi, A. (2025) · Current Drug Metabolism · doi:10.2174/0113892002358291250401190533 · Cited by 12
The role of iron in obesity and diabetes
Ikeda, Y., Funamoto, M., & Tsuchiya, K. (2022) · The Journal of Medical Investigation · doi:10.2152/jmi.69.1 · Cited by 12
Wendeu-Foyet, M. G., Bellicha, A., Chajès, V., Huybrechts, I., Bard, J., Debras, C., Srour, B., Sellem, L., Fezeu, L., Julia, C., et al. (2022) · Diabetes Care · doi:10.2337/dc22-0900 · Cited by 12
Hydrie, M. Z. I., Basit, A., Shera, A. S., Hakeem, R., & Hussain, A. (2009) · Pakistan Journal of Nutrition · doi:10.3923/pjn.2010.93.99 · Cited by 13
Carrizo, D., Chevallier, O. P., Woodside, J. V., Brennan, S., Cantwell, M. M., Cuskelly, G. J., & Elliott, C. T. (2016) · Food Chemistry · doi:10.1016/j.foodchem.2016.10.056 · Cited by 12
Fuseini, A., & Sulemana, I. (2018) · Food Ethics · doi:10.1007/s41055-018-0028-6 · Cited by 13
Individual Fatty Acids in Cardiometabolic Disease
Chowdhury, R., Steur, M., Patel, P. S., & Franco, O. H. (2016) · Elsevier eBooks · doi:10.1016/b978-1-63067-036-8.00010-x · Cited by 13
A Review of Cultured Meat and its Current Public Perception
Ahmad, N. A., Arshad, F., Zakaria, S. N. A., & Ahmed, M. U. (2023) · Current Nutrition & Food Science · doi:10.2174/1573401319666230227115317 · Cited by 10
Marsh, K. A., & Brand-Miller, J. C. (2010) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610387393 · Cited by 8
Kim, I., Schutzler, S. E., Azhar, G., Wolfe, R. R., Ferrando, A. A., & Coker, R. H. (2017) · BMC Nutrition · doi:10.1186/s40795-017-0152-4 · Cited by 10
Dong, W., Li, Y., Man, Q., Zhang, Y., Yu, L., Zhao, R., Zhang, J., Song, P., & Ding, G. (2023) · Nutrients · doi:10.3390/nu16010107 · Cited by 9
Design and Rationale for the Study of Changes in Iron and Atherosclerosis Risk in Perimenopause
Mihai, G., He, X., Zhang, X., Carthy, B. M., & Tran, T. (2011) · Journal of Clinical & Experimental Cardiology · doi:10.4172/2155-9880.1000152 · Cited by 8
Alsulami, S., Bodhini, D., Sudha, V., Rani, C. S. S., Pradeepa, R., Anjana, R. M., Radha, V., Lovegrove, J. A., Gayathri, R., Mohan, V., et al. (2021) · Nutrients · doi:10.3390/nu13093064 · Cited by 11
Anderson, J. W., & Conley, S. B. (2007) · Wiley eBooks · doi:10.1002/9780470277607.ch3 · Cited by 9
Donghia, R., Tatoli, R., Campanella, A., Cuccaro, F., Bonfiglio, C., & Giannelli, G. (2024) · Nutrients · doi:10.3390/nu16081207 · Cited by 8
Slima, S. B., Ktari, N., Triki, M., Trabelsi, I., Moussa, H., Makni, S., Asehraou, A., Herrero, A. M., Jiménez-Colmenero, F., Ruíz‐Capillas, C., et al. (2019) · British Food Journal · doi:10.1108/bfj-06-2018-0388 · Cited by 8
Higher Red Meat Intake May Be a Marker of Risk, Not a Risk Factor Itself
de Abreu-Silva, E. O. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.278 · Cited by 8
Pouladi, F., Nozari, E., Hosseinzadeh, F., & Hashemi, S. (2024) · International Journal for Vitamin and Nutrition Research · doi:10.1024/0300-9831/a000803 · Cited by 7
Xu, M., Zheng, J., Ying, T., Zhu, Y., Du, J., Li, F., Chen, B., Liu, Y., & He, G. (2025) · Nutrition and Diabetes · doi:10.1038/s41387-025-00380-z · Cited by 7
Hong, T., Sun, F., Wang, Q., Chen, X., & Han, K. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15290 · Cited by 9
Li, Y., Shen, H., Li, Y., Bi, M., Bi, Y., Che, X., Tian, S., & Liu, Y. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.739850 · Cited by 7
Rondanelli, M., Barrile, G. C., Cavioni, A., Donati, P., Genovese, E., Mansueto, F., Mazzola, G., Patelli, Z., Pirola, M., Razza, C., et al. (2023) · Nutrients · doi:10.3390/nu15234943 · Cited by 9
Éléments-trace essentiels en nutrition humaine: chrome, sélénium, zinc et fer
Roussel, A.-M., & Hininger‐Favier, I. (2009) · EMC - Endocrinologie - Nutrition · doi:10.1016/s1155-1941(09)49501-5 · Cited by 7
Association between postpartum low-carbohydrate-diet scores and glucose levels in Chinese women
Tang, N., Wu, Y. F., Chen, Y., Chen, Q., Wu, W., Jin, J., & Cai, L. (2021) · Nutrition · doi:10.1016/j.nut.2021.111305 · Cited by 6
Food intake and cardiometabolic risk factors in rural Uganda
Holmager, T. L. F., Meyrowitsch, D. W., Bahendeka, S., & Nielsen, J. (2021) · Archives of Public Health · doi:10.1186/s13690-021-00547-x · Cited by 6
Chen, H., Wang, Y., Ma, L., Zhao, J., Li, Y., & Li, M. (2012) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.5679 · Cited by 6
Burini, R. C. (2014) · Endocrinology & Metabolic Syndrome · doi:10.4172/2161-1017.1000125 · Cited by 5
Rawat, N., Mathur, N., Harikrishnan, R., Choudhary, J., Rawat, K., & Mathur, M. (2016) · Asian Pacific Journal of Health Sciences · doi:10.21276/apjhs.2016.3.4.13 · Cited by 9
Espinosa, R. (2019) · Revue d économie politique · doi:10.3917/redp.293.0287 · Cited by 10
Lindström, J. (2006) · Työväentutkimus Vuosikirja · Cited by 6
Production of cultured meat: challenges and opportunities
Anang, D. M., & Fuseini, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91739-1.00014-3 · Cited by 6
Chen, G., Zhang, Z., van Dam, R. M., & Qin, L. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.147470 · Cited by 5
Stadlbauer, K., Brunmair, B., Szöcs, Z., Krebs, M., Luger, A., & Fürnsinn, C. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00061.2009 · Cited by 5
Postura de la Asociación Americana de Dietética: dietas vegetarianas
Craig, W. J., & Mangels, A. R. (2010) · Actividad Dietética · doi:10.1016/s1138-0322(10)70003-1 · Cited by 7
Zhang, H., Gan, M., Wu, Q., Dan, H., Chen, L., Niu, L., Zhao, Y., Wang, Y., Zhu, L., & Shen, L. (2025) · Food Chemistry X · doi:10.1016/j.fochx.2025.103211 · Cited by 5
Xu, T., Wan, S., Shi, J., Xu, T., Wang, L., Guan, Y., Luo, J., Luo, Y., Sun, M., An, P., et al. (2024) · Nutrients · doi:10.3390/nu16030335 · Cited by 4
Risk Factor for Diabetes in Different Populations of Manipur
Shah, A. (2015) · Biology and Medicine · doi:10.4172/0974-8369.1000233 · Cited by 3
Hypoglycemic Action of Chicken Meat Extract in Type-2 Diabetic KKAy Mice and GK Rats
Sim, M., Wong, Y.-C., Xiao-Guang, X. U., Sim, S.-Z., & Tsi, D. (2009) · Bioscience Biotechnology and Biochemistry · doi:10.1271/bbb.90328 · Cited by 5
Ilić, J., van den Berg, M. A., & Oosterlinck, F. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/854/1/012036 · Cited by 4
Schulze, M. B., & Hu, F. B. (2022) · Springer eBooks · doi:10.1007/978-1-4614-6625-3_66-1 · Cited by 5
Mihescu, R., erban, C., Drgan, S., Timar, R. Z., Mozo, I., Craina, M. L., & Schiller, A. (2012) · InTech eBooks · doi:10.5772/35357 · Cited by 4
Salamat, F., Semnani, S., Aboomardani, M., & Roshandel, G. (2015) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2015.16.6.2537 · Cited by 4
Pickering, R. T., Yiannakou, I., Lara-Castor, L., Bradlee, M. L., Singer, M. R., & Moore, L. L. (2024) · Nutrients · doi:10.3390/nu17010083 · Cited by 3
Effects of protein intake on glucagon, insulin, and glucose dynamics: implications for diabetes
Nagy, S., Turner, L. V., & Riddell, M. C. (2026) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2025.1712506 · Cited by 7
Guess, N. D., Wijesuriya, M., Vasantharajah, L., Gulliford, M. C., Viberti, G. C., Gnudi, L., & Karalliedde, J. J. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002476 · Cited by 5
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
Beigrezaei, S., Jambarsang, S., Khayyatzadeh, S. S., Mirzaei, M., Mehrparvar, A. H., & Salehi‐Abargouei, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-27645-w · Cited by 5
Metadata
- Authors
- Song, Y., Manson, J. E., Buring, J. E., & Liu, S.
- Affiliations
- Brigham and Women's Hospital (US)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2004-09-01
- Volume
- 27
- Issue
- 9
- Pages
- 2108-2115
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2094558936
- Cited by
- 368
- References
- 33
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 12 · 2023: 17 · 2022: 12 · 2021: 18 · 2020: 15 · 2019: 20 · 2018: 12 · 2017: 21 · 2016: 18 · 2015: 21 · 2014: 14 · 2013: 21 · 2012: 26
- FWCI
- 15.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5k08dk002767-03)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK02767)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Meat and Animal Product Quality
- Keywords
- red meat consumption, processed meat, type 2 diabetes, diabetes incidence, middle-aged women, older women, bacon, hot dogs, dietary risk factors, Women's Health Study
- MeSH terms
- Ascorbic Acid, Aspirin, Energy Intake, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Feeding Behavior, Female, Humans, Life Style, Male, Meat, Middle Aged, Neoplasms, Prospective Studies, Risk Assessment
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