Meat consumption and risk of type 2 diabetes: the Multiethnic Cohort
Open accessAbstract
Objective: To examine the association of meat consumption with diabetes risk in the Hawaii component of the Multiethnic Cohort and to assess effect modification by ethnicity. Design: A prospective cohort study. Baseline information on diet and lifestyle was assessed by questionnaire. The cohort was followed up for incident cases of diabetes, which were identified through self-reports, medication questionnaires, or health plan linkages. Cox regression was used to calculate hazard ratios (HR) and 95 % confidence intervals for diabetes associated with quintile of meat consumption. Setting: Hawaii, USA. Subjects: A total of 29 759 Caucasian, 35 244 Japanese-American and 10 509 Native Hawaiian men and women, aged 45–75 years at baseline. Results: During a mean follow-up time of 14 years, 8587 incident diabetes cases were identified. Intake of red meat was positively associated with diabetes risk in men (fifth v. first quintile: HR = 1·43; 95 % CI 1·29, 1·59) and women (fifth v. first quintile: HR = 1·30; 95 % CI 1·17, 1·45) in adjusted models. The respective HR for processed red meat intake were 1·57 (95 % CI 1·42, 1·75) and 1·45 (95 % CI 1·30, 1·62). The association for processed poultry was weaker than for processed red meat, and fresh poultry intake was not associated with diabetes risk. For men only, we observed significant interactions of ethnicity with the red and processed red meat associations, with Caucasians experiencing slightly higher risks than Japanese-Americans. Conclusions: Our findings support the growing evidence that red and processed meat intake increase risk for diabetes irrespective of ethnicity and level of BMI.
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Large studies evaluating poultry and incident diabetes have shown mixed results including higher risk, no risk, and lower risk.
“Large studies evaluating poultry and incident diabetes have shown mixed results including higher risk, no risk, and lower risk.178, 190-195”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [194]
Large studies evaluating poultry and incident diabetes have shown mixed results including higher risk, no risk, and lower risk.
“Large studies evaluating poultry and incident diabetes have shown mixed results including higher risk, no risk, and lower risk.178, 190-195”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [195]
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A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
Kolonel, L. N., Henderson, B. E., Hankin, J. H., Nomura, A. M. Y., Wilkens, L. R., Pike, M. C., Stram, D. O., Monroe, K. R., Earle, M. E., & Nagamine, F. S. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010213 · Cited by 1,024 · see citing works
Self-citationDiabetes mellitus and free radicals
Wolff, S. P. (1993) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a072637 · Cited by 660 · see citing works
Dietary Fat and Meat Intake in Relation to Risk of Type 2 Diabetes in Men
van Dam, R. M., Willett, W. C., Rimm, E. B., Stampfer, M. J., & Hu, F. B. (2002) · Diabetes Care · doi:10.2337/diacare.25.3.417 · Cited by 593 · see citing works
Uribarri, J., Cai, W., Sandu, O. A., Peppa, Μ., Goldberg, T., & Vlassara, H. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1333.052 · Cited by 423 · see citing works
Calibration of the Dietary Questionnaire for a Multiethnic Cohort in Hawaii and Los Angeles
Stram, D. O., Hankin, J. H., Wilkens, L. R., Pike, M. C., Monroe, K. R., Park, S., Henderson, B. E., Nomura, A. M., Earle, M. E., Nagamine, F. S., et al. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010214 · Cited by 393 · see citing works
Self-citationAn Update on the Etiology and Epidemiology of Diabetes Mellitus
Adeghate, E. A., Schattner, P. L., & Dunn, E. V. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1372.029 · Cited by 389 · see citing works
Aune, D., Ursin, G., & Veierød, M. B. (2009) · Diabetologia · doi:10.1007/s00125-009-1481-x · Cited by 354 · see citing works
Type 2 diabetes prevalence in Asian Americans: results of a national health survey.
McNeely, M., & Boyko, E. (2004) · Diabetes Care · doi:10.2337/diacare.27.1.66 · Cited by 295 · see citing works
Relation between iron stores and non-insulin dependent diabetes in men: case-control study
Salonen, J. T., Tuomainen, T.-P., Nyyssönen, K., Lakka, H.-M., & Punnonen, K. (1998) · BMJ · doi:10.1136/bmj.317.7160.727 · Cited by 242 · see citing works
Food consumption and the incidence of type II diabetes mellitus
Montonen, J., Järvinen, R., Heliövaara, M., Reunanen, A., Aromaa, A., & Knekt, P. (2005) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602094 · Cited by 237 · see citing works
Processed meat intake and incidence of Type 2 diabetes in younger and middle-aged women
Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2003) · Diabetologia · doi:10.1007/s00125-003-1220-7 · Cited by 210 · see citing works
Hopping, B. N., Erber, E., Grandinetti, A., Verheus, M., Kolonel, L. N., & Maskarinec, G. (2009) · Journal of Nutrition · doi:10.3945/jn.109.112441 · Cited by 145 · see citing works
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Hua, N. W., Stoohs, R. A., & Facchini, F. S. (2001) · British Journal of Nutrition · doi:10.1079/bjn2001421 · Cited by 110 · see citing works
Mechanisms of Nitrosourea-Induced β-Cell Damage: Alterations in DNA
LeDoux, S. P., Woodley, S. E., Patton, N. J., & Wilson, G. L. (1986) · Diabetes · doi:10.2337/diab.35.8.866 · Cited by 106 · see citing works
Dietary Patterns and Risk for Diabetes
Erber, E., Hopping, B. N., Grandinetti, A., Park, S., Kolonel, L. N., & Maskarinec, G. (2009) · Diabetes Care · doi:10.2337/dc09-1621 · Cited by 100 · see citing works
Self-citationDiabetes Incidence Based on Linkages With Health Plans: The Multiethnic Cohort
Maskarinec, G., Erber, E., Grandinetti, A., Verheus, M., Oum, R., Hopping, B., Schmidt, M. M., Uchida, A., Juárez, D., Hodges, K., et al. (2009) · Diabetes · doi:10.2337/db08-1685 · Cited by 92 · see citing works
Self-citationThe 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 · see citing works
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Pan, A., Sun, Q., Bernstein, A. M., Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.018978 · Cited by 709 · see citing works
Zelber-Sagi, S., Ivancovsky-Wajcman, D., Fliss Isakov, N., Webb, M., Orenstein, D., Shibolet, O., & Kariv, R. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.01.015 · Cited by 297 · see citing works
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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 · see citing works
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Feskens, E. J. M., Sluik, D., & van Woudenbergh, G. J. (2013) · Current Diabetes Reports · doi:10.1007/s11892-013-0365-0 · Cited by 248 · see citing works
Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study
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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 · see citing works
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 · see citing works
- Authors
- Steinbrecher, A., Erber, E., Grandinetti, A., Kolonel, L., & Maskarinec, G.
- Affiliations
- University of Hawaiʻi at Mānoa (US)
- Corresponding author
- Maskarinec, G
- ORCID
- Maskarinec, G
- Venue
- Public Health Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2010-07-13
- Volume
- 14
- Issue
- 4
- Pages
- 568-574
- ISSN
- 1368-9800 (ISSN-L)
- 1475-2727
- PMC
- PMC3064732
- OpenAlex
- W2118525136
- Cited by
- 81
- References
- 17
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 7 · 2018: 7 · 2017: 2 · 2016: 5 · 2015: 5 · 2014: 4 · 2013: 8 · 2012: 8
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Public Health Nutrition (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- Funders
- Kaiser Permanente
- National Cancer Institute (R37 CA 54281, R37CA054281, R25CA090956)
- National Institute of Diabetes and Digestive and Kidney Diseases (R21DK073816)
- 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
- meat consumption, type 2 diabetes, red meat, processed meat, ethnicity, Japanese Americans, Native Hawaiians, Caucasians, effect modification, multi-ethnic cohort, Hawaii
- MeSH terms
- Aged, Asian, Diabetes Mellitus, Type 2, Diet, Ethnicity, Female, Follow-Up Studies, Hawaii, Humans, Japan, Male, Meat, Middle Aged, Prospective Studies, Risk Factors, Sex Factors, Cohort Studies, Incidence, Proportional Hazards Models, White People
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