Cited by 368Nutritional Studies and DietDiet, Metabolism, and DiseaseMeat and Animal Product Quality

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A Prospective Study of Red Meat Consumption and Type 2 Diabetes in Middle-Aged and Elderly Women

Song, Yiqing, Manson, JoAnn E., Buring, Julie E., Liu, Simin·2004·Diabetes Care

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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.

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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
Nutritional Epidemiology
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
Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire
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-citation
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A holistic approach to access the viability of cultured meat: A review
Jairath, G., Mal, G., Gopinath, D., & Singh, B. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.02.024 · Cited by 97
Dietary intakes associated with metabolic syndrome in a cohort of Japanese ancestry
Damião, R., de Castro, T. G., Cardoso, M. A., Gimeno, S. G. A., Ferreira, S. R. G., & for the Japanese–Brazilian Diabetes Study Group (2006) · British Journal Of Nutrition · doi:10.1079/bjn20061876 · Cited by 86
Role of diet and exercise in aging, Alzheimer’s disease, and other chronic diseases
Khemka, S., Reddy, A., Garcia, R. I., Jacobs, M., Reddy, R. P., Roghani, A. K., Pattoor, V., Basu, T., Sehar, U., & Reddy, P. H. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102091 · Cited by 88
Increased Lean Red Meat Intake Does Not Elevate Markers of Oxidative Stress and Inflammation in Humans
Hodgson, J. M., Ward, N. C., Burke, V., Beilin, L. J., & Puddey, I. B. (2007) · Journal of Nutrition · doi:10.1093/jn/137.2.363 · Cited by 89
Establishing behavioral and physiological functions of central oxytocin: insights from studies of oxytocin and ingestive behaviors.
Verbalis, J. G., Blackburn, R. E., Hoffman, G. E., & Stricker, E. M. (1995) · PubMed · Cited by 85
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
Effects of dietary protein on glucose homeostasis
Promintzer, M., & Krebs, M. (2006) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/01.mco.0000232909.84483.a9 · Cited by 86
Meat intake and the risk of hypertension in middle-aged and older women
Wang, L., Manson, J. E., Buring, J. E., & Sesso, H. D. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e3282f283dc · Cited by 83
Self-citation
Macronutrient Intakes and Development of Type 2 Diabetes: A Systematic Review and Meta-Analysis of Cohort Studies
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
The optimal diet for women with polycystic ovary syndrome?
Marsh, K. A., & Brand-Miller, J. C. (2005) · British Journal Of Nutrition · doi:10.1079/bjn20051475 · Cited by 79
Prevalence of and Risk Factors for Type 2 Diabetes Mellitus in Vietnam
Chung, N. T., Pham, N. M., Lee, A. H., & Binns, C. W. (2015) · Asia Pacific Journal of Public Health · doi:10.1177/1010539515595860 · Cited by 82
The Relationship between Dietary Habits, Blood Glucose and Insulin Levels among People without Cardiovascular Disease and Type 2 Diabetes; The ATTICA Study
Panagiotakos, D. B., Tzima, N., Pitsavos, C., Chrysohoou, C. A., Papakonstantinou, E., Zampelas, A., & Stefanadis, C. (2005) · The Review of Diabetic Studies · doi:10.1900/rds.2005.2.208 · Cited by 84
Generalizability of dietary patterns associated with incidence of type 2 diabetes mellitus
Imamura, F., Lichtenstein, A. H., Dallal, G. E., Meigs, J. B., & Jacques, P. F. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28009 · Cited by 79
Association of fish and n-3 fatty acid intake with the risk of type 2 diabetes: a meta-analysis of prospective studies
Zhou, Y., Tian, C., & Jia, C. (2012) · British Journal of Nutrition · doi:10.1017/s0007114512002036 · Cited by 78
Coffee and Caffeine Consumption in Relation to Sex Hormone–Binding Globulin and Risk of Type 2 Diabetes in Postmenopausal Women
Goto, A., Song, Y., Chen, B. H., Manson, J. E., Buring, J. E., & Liu, S. (2010) · Diabetes · doi:10.2337/db10-1193 · Cited by 78
Self-citation
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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
Red meat consumption and healthy ageing: A review
Kouvari, M., Tyrovolas, S., & Panagiotakos, D. B. (2015) · Maturitas · doi:10.1016/j.maturitas.2015.11.006 · Cited by 79
Egg consumption and risk of incident type 2 diabetes in men: the Kuopio Ischaemic Heart Disease Risk Factor Study
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
Trends and correlates in meat consumption patterns in the US adult population
Wang, Y., Beydoun, M. A., Caballero, B. H., Gary‐Webb, T. L., & Lawrence, R. (2010) · Public Health Nutrition · doi:10.1017/s1368980010000224 · Cited by 77
Egg consumption and risk of type 2 diabetes in older adults
Djoussé, L., Kamineni, A., Nelson, T. L., Carnethon, M. R., Mozaffarian, D., Siscovick, D. S., & Mukamal, K. J. (2010) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29406 · Cited by 74
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
The association of meat intake and the risk of type 2 diabetes may be modified by body weight
Villegas, R., Shu, X. O., Gao, Y.-T., Yang, G., Cai, H., Li, H., & Zheng, W. (2006) · International Journal of Medical Sciences · doi:10.7150/ijms.3.152 · Cited by 73
The role of dietary acid load and mild metabolic acidosis in insulin resistance in humans
Williams, R. S., Kozan, P., & Samocha‐Bonet, D. (2015) · Biochimie · doi:10.1016/j.biochi.2015.09.012 · Cited by 74
Low Carbohydrate–Diet Scores and Long-term Risk of Type 2 Diabetes Among Women With a History of Gestational Diabetes Mellitus: A Prospective Cohort Study
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
Lifestyle precision medicine: the next generation in type 2 diabetes prevention?
Mutie, P. M., Giordano, G. N., & Franks, P. W. (2017) · BMC Medicine · doi:10.1186/s12916-017-0938-x · Cited by 75
Vegetarian 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
Associations Between Linoleic Acid Intake and Incident Type 2 Diabetes Among U.S. Men and Women
Zong, G., Liu, G., Willett, W. C., Wanders, A. J., Alssema, M., Zock, P. L., Hu, F. B., & Sun, Q. (2019) · Diabetes Care · doi:10.2337/dc19-0412 · Cited by 75
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
Industrial Farm Animal Production: A Comprehensive Moral Critique
Rossi, J. P., & Garner, S. A. (2014) · Journal of Agricultural and Environmental Ethics · doi:10.1007/s10806-014-9497-8 · Cited by 77
Red Meat, Dietary Heme Iron, and Risk of Type 2 Diabetes: The Involvement of Advanced Lipoxidation Endproducts
White, D., & Collinson, A. (2013) · Advances in Nutrition · doi:10.3945/an.113.003681 · Cited by 70
Intake of different dietary proteins and risk of type 2 diabetes in men: the Kuopio Ischaemic Heart Disease Risk Factor Study
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
Is fish worth more than meat? – How consumers’ beliefs about health and nutrition affect their willingness to pay more for fish than meat
Morales, L. E., & Higuchi, A. (2017) · Food Quality and Preference · doi:10.1016/j.foodqual.2017.11.004 · Cited by 71
The effect of nuts on inflammation.
Salas‐Salvadó, J., Casas‐Agustench, P., Murphy, M. M., López-Uriarte, P. J., & Bulló, M. (2008) · PubMed · Cited by 64
High processed meat consumption is a risk factor of type 2 diabetes in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention study
Männistö, S., Kontto, J., Kataja-Tuomola, M., Albanes, D., & Virtamo, J. (2010) · British Journal of Nutrition · doi:10.1017/s0007114510000073 · Cited by 65
Dietary protein intake and risk of type 2 diabetes: a dose–response meta-analysis of prospective studies
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
Comparison of High Protein and High Fiber Weight-Loss Diets in Women with Risk Factors for the Metabolic Syndrome: A Randomized Trial
Te Morenga, L. A., Levers, M. T., Williams, S. M., Brown, R. C., & Mann, J. (2011) · Nutrition Journal · doi:10.1186/1475-2891-10-40 · Cited by 64
Efficacy of High-Fiber Diets in the Management of Type 2 Diabetes Mellitus
Wolfram, T., & Ismail‐Beigi, F. (2010) · Endocrine Practice · doi:10.4158/ep10204.ra · Cited by 63
Dietary patterns and odds of Type 2 diabetes in Beirut, Lebanon: a case–control study
Naja, F., Hwalla, N. C., Itani, L., Salem, M., Azar, S. T., Nabhani-Zeidan, M., & Nasreddine, L. (2012) · Nutrition & Metabolism · doi:10.1186/1743-7075-9-111 · Cited by 69
Dietary Nonheme, Heme, and Total Iron Intake and the Risk of Diabetes in Adults: Results From the China Health and Nutrition Survey
He, J., Fang, A., Yu, S., Shen, X., & Li, K. (2020) · Diabetes Care · doi:10.2337/dc19-2202 · Cited by 66
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
Red meat consumption is associated with the risk of type 2 diabetes in men but not in women: a Japan Public Health Center-based Prospective Study
Kurotani, 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
Fruit and vegetable intake and risk of incident of type 2 diabetes: results from the consortium on health and ageing network of cohorts in Europe and the United States (CHANCES)
Mamluk, L., O’Doherty, M. G., Orfanos, P., Saitakis, G., Woodside, J. V., Liao, L. M., Sinha, R. R., Boffetta, P., Trichopoulou, A., & Kee, F. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.143 · Cited by 62
Dietary protein intake and subsequent risk of type 2 diabetes: a dose–response meta-analysis of prospective cohort studies
Ye, J., Yu, Q., Mai, W., Liang, P., Liu, X., & Wang, Y. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01320-x · Cited by 64
The Consumption of Lycopene and Tomato-Based Food Products Is Not Associated with the Risk of Type 2 Diabetes in Women
Wang, L., Liu, S., Manson, J. E., Gaziano, J. M., Buring, J. E., & Sesso, H. D. (2006) · Journal of Nutrition · doi:10.1093/jn/136.3.620 · Cited by 61
Self-citation
Red meat consumption and risk of heart failure in male physicians
Ashaye, A. O., Gaziano, J. M., & Djoussé, L. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.03.009 · Cited by 62
The fructose survival hypothesis for obesity
Johnson, R. J., Lanaspa, M. A., Sánchez‐Lozada, L. G., Tolan, D. R., Nakagawa, T., Ishimoto, T., Andrés-Hernando, A., Rodríguez‐Iturbe, B., & Stenvinkel, P. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0230 · Cited by 64
Plasma Lycopene, Other Carotenoids, and the Risk of Type 2 Diabetes in Women
Wang, L., Liu, S., Pradhan, A. D., Manson, J. E., Buring, J. E., Gaziano, J. M., & Sesso, H. D. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj240 · Cited by 57
Self-citation
Extrusion Process as an Alternative to Improve Pulses Products Consumption. A Review
Cotacallapa-Sucapuca, M., Vega, E. N., Maieves, H. A., Berrios, J. D. J., Morales, P., Fernández‐Ruiz, V., & Cámara, M. (2021) · Foods · doi:10.3390/foods10051096 · Cited by 55
Sleep debt: the impact of weekday sleep deprivation on cardiovascular health in older women
de Baca, T. C., Chayama, K. L., Redline, S. S., Slopen, N. B., Matsushita, F., Prather, A. A., Williams, D. R., Buring, J. E., Zaslavsky, A. M., & Albert, M. A. (2019) · SLEEP · doi:10.1093/sleep/zsz149 · Cited by 57
Self-citation
Iron intake and body iron stores, anaemia and risk of hyperglycaemia among Chinese adults: the prospective Jiangsu Nutrition Study (JIN)
Shi, Z., Zhou, M., Yuan, B., Qi, L., Dai, Y., Luo, Y., & Holmboe‐Ottesen, G. (2009) · Public Health Nutrition · doi:10.1017/s1368980009991868 · Cited by 54
Geophysics and nutritional science: toward a novel, unified paradigm
Eshel, G., & Martin, P. A. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.26736bb · Cited by 54
Importance of binary and ternary complex formation on the functional and nutritional properties of legume proteins in presence of phytic acid and calcium
Amat, T., Assifaoui, A., Schmitt, C., & Saurel, R. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2098247 · Cited by 56
Lean beef contributes significant amounts of key nutrients to the diets of US adults: National Health and Nutrition Examination Survey 1999-2004.
Zanovec, M. T., O'Neil, C., Keast, D., Fulgoni, V., & Nicklas, T. (2010) · Nutrition Research · doi:10.1016/j.nutres.2010.06.001 · Cited by 53
The relationship of red meat with cancer: Effects of thermal processing and related physiological mechanisms
Chiang, V. S., & Quek, S. Y. (2015) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2014.967833 · Cited by 52
How dietary amino acids and high protein diets influence insulin secretion
Yanagisawa, Y. (2023) · Physiological Reports · doi:10.14814/phy2.15577 · Cited by 52
Prevalence and risk factors for self-reported diabetes among adult men and women in India: findings from a national cross-sectional survey
Agrawal, S., & Ebrahim, S. B. J. (2011) · Public Health Nutrition · doi:10.1017/s1368980011002813 · Cited by 49
The Metabolic Syndrome, Insulin Resistance, and Its Surrogates in African and White Subjects with Type 2 Diabetes in South Africa
Kalk, W. J., & Joffe, B. I. (2008) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0003 · Cited by 48
Macronutrient intake and type 2 diabetes risk in middle-aged Australian women. Results from the Australian Longitudinal Study on Women's Health
Alhazmi, A. H., Stojanovski, E., McEvoy, M., & Garg, M. L. (2013) · Public Health Nutrition · doi:10.1017/s1368980013001870 · Cited by 51
Egg consumption and risk of type 2 diabetes: a prospective study and dose–response meta-analysis
Wallin, A., Forouhi, N. G., Wolk, A., & Larsson, S. C. (2016) · Diabetologia · doi:10.1007/s00125-016-3923-6 · Cited by 48
Higher Maternal Dietary Protein Intake Is Associated with a Higher Risk of Gestational Diabetes Mellitus in a Multiethnic Asian Cohort
Pang, W. W., Colega, M., Cai, S., Chan, Y. H., Padmapriya, N., Chen, L.-W., Soh, S.-E., Han, W. M., Tan, K. H., Lee, Y. S., et al. (2017) · The Journal of Nutrition · doi:10.3945/jn.116.243881 · Cited by 47
Consumption of fatty foods and incident type 2 diabetes in populations from eight European countries
Buijsse, B., Boeing, H., Drogan, D., Schulze, M. B., Feskens, E. J., Amiano, P., Barricarte, A., Clavel-Chapelon, F., de Lauzon-Guillain, B., Fagherazzi, G., et al. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.249 · Cited by 46
Dietary Protein Is Important in the Practical Management of Prediabetes and Type 2 Diabetes
Campbell, A. P., & Rains, T. M. (2014) · Journal of Nutrition · doi:10.3945/jn.114.194878 · Cited by 48
Cow's Milk and Dairy Consumption: Is There Now Consensus for Cardiometabolic Health?
Poppitt, S. D. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2020.574725 · Cited by 50
The role of high-protein diets in body weight management and health
Morenga, L. T., & Mann, J. I. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512002437 · Cited by 51
Dietary iron intake and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of prospective cohort studies
Shahinfar, H., Jayedi, A., & Shab‐Bidar, S. (2022) · European Journal of Nutrition · doi:10.1007/s00394-022-02813-2 · Cited by 45
Insulin Sensitivity and Liver Fat: Role of Iron Load
Haap, M. M., Machann, J., von Friedeburg, C., Schick, F., Stefan, N., Schwenzer, N. F., Fritsche, A., Häring, H. U., & Thamer, C. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2682 · Cited by 45
Pisum sativum vs Glycine max, a comparative review of nutritional, physicochemical, and sensory properties for food uses
Fischer, E., Cachon, R., & Cayot, N. (2019) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2019.11.021 · Cited by 48
An overview of the cholesterol metabolism and its proinflammatory role in the development of MASLD
Zhang, L., Shi, Y., Liang, B., & Li, X. (2024) · Hepatology Communications · doi:10.1097/hc9.0000000000000434 · Cited by 49
Long-term animal-protein consumption is associated with an increased prevalence of diabetes among the elderly: The Mediterranean islands (MEDIS) study
Pounis, G., Tyrovolas, S., Antonopoulou, M., Zeimbekis, A., Anastasiou, F., Bountztiouka, V., Metallinos, G., Gotsis, E., Lioliou, E., Polychronopoulos, E., et al. (2010) · Diabetes & Metabolism · doi:10.1016/j.diabet.2010.06.007 · Cited by 45
Cholesterol and egg intakes and the risk of type 2 diabetes: The Japan Public Health Center-based Prospective Study
Kurotani, K., Nanri, A., Goto, A., Mizoue, T., Noda, M., Oba, S., Sawada, N., & Tsugane, S. (2014) · British Journal Of Nutrition · doi:10.1017/s000711451400258x · Cited by 43
Red meat and processed meat consumption and the risk of dyslipidemia in Korean adults: A prospective cohort study based on the Health Examinees (HEXA) study
Kim, S.-A., & Shin, S. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.02.008 · Cited by 44
Low-carbohydrate-diet score and metabolic syndrome: An epidemiologic study among Iranian women
Shirani, F., Esmaillzadeh, A., Keshteli, A. H., Adibi, P., & Azadbakht, L. (2015) · Nutrition · doi:10.1016/j.nut.2015.04.013 · Cited by 41
Protein Intake at Twice the RDA in Older Men Increases Circulatory Concentrations of the Microbiome Metabolite Trimethylamine-N-Oxide (TMAO)
Mitchell, S. M., Milan, A. M., Mitchell, C. J., Gillies, N. A., D’Souza, R. F., Zeng, N., Ramzan, F., Sharma, P., Knowles, S. O., Roy, N. C., et al. (2019) · Nutrients · doi:10.3390/nu11092207 · Cited by 40
Influence of Alcohol and Red Meat Consumption on Life Expectancy: Results of 164 Countries from 1992 to 2013
Ranabhat, C. L., Park, M.-B., & Kim, C.-B. (2019) · Nutrients · doi:10.3390/nu12020459 · Cited by 41
Social ideological influences on reported food consumption and BMI
Wang, W., Worsley, A., & Cunningham, E. G. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-20 · Cited by 41
What Should We Eat? Evidence from Observational Studies
Adams, S., & Standridge, J. B. (2006) · Southern Medical Journal · doi:10.1097/01.smj.0000220887.52952.f0 · Cited by 38
High cholesterol intake is associated with elevated risk of type 2 diabetes mellitus – A meta-analysis1–4
Tajima, R., Kodama, S., Hirata, M., Horikawa, C., Fujihara, K., Yachi, Y., Yoshizawa, S. M., Iida, K., & Sone, H. (2014) · Clinical Nutrition · doi:10.1016/j.clnu.2014.03.001 · Cited by 39
Animal-Protein Intake Is Associated with Insulin Resistance in Adventist Health Study 2 (AHS-2) Calibration Substudy Participants: A Cross-Sectional Analysis
Azemati, B., Rajaram, S., Jaceldo‐Siegl, K., Sabaté, J., Shavlik, D. J., Fraser, G. E., & Haddad, E. H. (2017) · Current Developments in Nutrition · doi:10.3945/cdn.116.000299 · Cited by 41
Amino acid‐dependent modulation of glucose metabolism in humans
Krebs, M. (2005) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2005.01506.x · Cited by 37
Dietary intake of protein from different sources and weight regain, changes in body composition and cardiometabolic risk factors after weight loss: the DIOGenes Study.
Van Baak, M., Larsen, T., Jebb, S., Martinez, A., Saris, W., Handjieva-Darlenska, T., Kafatos, A., Pfeiffer, A., Kunešová, M., & Astrup, A. (2017) · Nutrients · doi:10.3390/nu9121326 · Cited by 36
Nutrition at the Intersection between Gut Microbiota Eubiosis and Effective Management of Type 2 Diabetes
Hamamah, S., Iatcu, O. C., & Covașă, M. (2024) · Nutrients · doi:10.3390/nu16020269 · Cited by 41
The association of red meat consumption and mental health in women: A cross-sectional study
Mofrad, M. D., Mozaffari, H., Sheikhi, A., Zamani, B., & Azadbakht, L. (2020) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2020.102588 · Cited by 38
Polyunsaturated fatty acid intake and incidence of type 2 diabetes in adults: a dose response meta-analysis of cohort studies
Hu, M., Fang, Z., Zhang, T., & Chen, Y. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00804-1 · Cited by 35
Insulin Resistance: Pathophysiology and Rationale for Treatment
Muntoni, S., & Muntoni, S. (2011) · Annals of Nutrition and Metabolism · doi:10.1159/000323395 · Cited by 34
Analysis of Differences in Meat Consumption Patterns
Kayser, M., Nitzko, S., & Spiller, A. (2013) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.148582 · Cited by 34
Fiber, Protein, and Lupin-Enriched Foods: Role for Improving Cardiovascular Health
Belski, R. (2012) · Advances in food and nutrition research · doi:10.1016/b978-0-12-394597-6.00004-5 · Cited by 38
Long-term risk of type 2 diabetes in relation to habitual iron intake in women with a history of gestational diabetes: a prospective cohort study
Bao, W., Chavarro, J. E., Tobias, D. K., Bowers, K. A., Li, S., Hu, F. B., & Zhang, C. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.108712 · Cited by 32
Vegetarians’ and omnivores’ affective and physiological responses to images of food
Anderson, E., Wormwood, J. B., Barrett, L. F., & Quigley, K. S. (2018) · Food Quality and Preference · doi:10.1016/j.foodqual.2018.06.008 · Cited by 36
Dietary patterns and the metabolic syndrome in middle aged women, Babol, Iran
Hanachi, P. (2020) · PubMed · doi:10.5281/zenodo.3710641 · Cited by 32
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Burch, R. C., Rist, P. M., Winter, A. C., Buring, J. E., Pradhan, A. D., Loder, E., & Kurth, T. (2012) · Cephalalgia · doi:10.1177/0333102412453954 · Cited by 32
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Jeganathan, S., Abdullahi, A., Zargar, S., Maeda, N., Riddell, M. C., & Adegoke, O. A. J. (2014) · Physiological Reports · doi:10.14814/phy2.12067 · Cited by 29
Evidenz-basierte Ernährungsempfehlungen zur Behandlung und Prävention des Diabetes mellitus *
Toeller, M., Mann, J. I., Rivellese, A. A., Rizkalla, A., & Adipositas-Gesellschaft, D. (2005) · Cited by 30
Downregulation of transient receptor potential M6 channels as a cause of hypermagnesiuric hypomagnesemia in obese type 2 diabetic rats
Takayanagi, K., Shimizu, T., Tayama, Y., Ikari, A., Anzai, N., Iwashita, T., Asakura, J., Hayashi, K., Mitarai, T., & Hasegawa, H. (2014) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00593.2013 · Cited by 30
Dietary habits contribute to define the risk of type 2 diabetes in humans
Adeva‐Andany, M. M., Rañal-Muíño, E., Vila-Altesor, M., Fernández‐Fernández, C., Funcasta-Calderón, R., & Castro-Quintela, E. (2019) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.08.002 · Cited by 36
The potential impact of animal protein intake on global and abdominal obesity: evidence from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study
Alkerwi, A., Sauvageot, N., Buckley, J. D., Donneau, A., Albert, A., Guillaume, M., & Crichton, G. E. (2015) · Public Health Nutrition · doi:10.1017/s1368980014002596 · Cited by 33
Changes in selective pressures associated with human population expansion may explain metabolic and immune related pathways enriched for signatures of positive selection
Vatsiou, A. I., Bazin, É., & Gaggiotti, O. E. (2016) · BMC Genomics · doi:10.1186/s12864-016-2783-2 · Cited by 28
Meat Consumption and Risk of Developing Type 2 Diabetes in the SUN Project: A Highly Educated Middle-Class Population
Marí-Sanchis, A., Gea, A., Basterra-Gortari, F. J., Martínez‐González, M. Á., Beunza, J. J., & Bes‐Rastrollo, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157990 · Cited by 35
Self-reported oral health is associated with systemic health outcomes and all-cause mortality
Yu, Y.-H., Steffensen, B., Chasman, D. I., & Buring, J. E. (2024) · The Journal of the American Dental Association · doi:10.1016/j.adaj.2023.11.006 · Cited by 28
Self-citation
Health‐related quality of life among Tianjin Chinese patients with type 2 diabetes: A cross‐sectional survey
Cong, J., Zhao, Y., Xu, Q., Zhong, C., & Xing, Q. (2012) · Nursing and Health Sciences · doi:10.1111/j.1442-2018.2012.00734.x · Cited by 28
Scientific opinion on the tolerable upper intake level for iron
EFSA Panel on Nutrition, N. F. A. F. A. (., Turck, D., Bohn, T., Castenmiller, J. J. M., Henauw, S. D., Hirsch‐Ernst, K. I., Knutsen, H. K., Maciuk, A., Mangelsdorf, I., McArdle, H. J., et al. (2024) · EFSA Journal · doi:10.2903/j.efsa.2024.8819 · Cited by 36

Authors: Song, Y., Manson, J. E., Buring, J. E., & Liu, S.
Affiliations: Brigham and Women's Hospital (US)
ORCID: Song, Yiqing
Manson, JoAnn E.
Buring, Julie E.
Liu, Simin
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
DOI: 10.2337/diacare.27.9.2108
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

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A Prospective Study of Red Meat Consumption and Type 2 Diabetes in Middle-Aged and Elderly Women

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