The association of meat intake and the risk of type 2 diabetes may be modified by body weight
Open accessAbstract
AIM: To investigate the association between meat intake and incidence of type 2 diabetes (type 2 DM) in a large cohort of middle-aged women. DESIGN, SUBJECTS AND METHODS: Incident cases of type 2 DM were identified during an average of 4.6 years of follow-up in a prospective cohort study of 74,493 middle-aged, Chinese women (mean age +/- SD =51.7+/- 8.97 years). Participants completed in-person interviews that collected information on type 2 DM risk factors such as dietary factors and physical activity in adulthood. Anthropometric indices were measured. Dietary intake was assessed using a validated food frequency questionnaire (FFQ). We included in the current analysis 70,609 women who had no prior history of type 2 DM at study recruitment and who had valid dietary data. The association of type 2 DM with unprocessed meat intake (g/day) and the frequency of consumption of processed meat was evaluated using the Cox model with adjustment for age, kcals/day, body mass index (BMI), waist to hip ratio (WHR), vegetable intake, smoking, alcohol consumption, physical activity, income level, education level, occupation status, and history of hypertension and chronic disease at baseline. PRINCIPAL RESULTS: We identified 1972 incident cases of type 2 DM during a total of 326,581 person-years of follow up. Intake of unprocessed meat, particularly poultry, was associated with a decrease in the risk of type 2 DM in this cohort. The fully adjusted relative risks (RRs) for quintiles of total unprocessed meat intake were 1.00, 0.78, 0.83, 0.74, and 0.83 (P for trend: <0.01). When the joint effect between meat intake and BMI categories was evaluated, high intake of total unprocessed meat appeared to be associated with an increased risk of type 2 DM among obese women but a reduced risk among lean women (P value for the interaction tests = 0.05). Processed meat consumption was positively associated with the risk of type 2 DM. The adjusted RR was 1.15 (95% 1.01-1.32) in women consuming processed meats compared to those who did not consume processed meats (P=0.04). CONCLUSIONS: Processed meat intake was positively associated with the risk of type 2 DM. There was an indication that the effect of unprocessed meat intake on type 2 DM may be modified by BMI.
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
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?
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 [192]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497 · see citing works
The Effect of Fruit and Vegetable Intake on Risk for Coronary Heart Disease
Joshipura, K. J., Hu, F. B., Manson, J. E., Stampfer, M. J., Rimm, E. B., Speizer, F. E., Colditz, G., Ascherio, A., Rosner, B., Spiegelman, D., et al. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-12-200106190-00010 · Cited by 1,396 · see citing works
Norat, T., Bingham, S. A., Ferrari, P., Slimani, N., Jenab, M., Mazuir, M., Overvad, K., Olsen, A., Tjønneland, A. M., Clavel‐Chapelon, F., et al. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji164 · Cited by 863 · see citing works
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 · 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
Dietary Patterns, Meat Intake, and the Risk of Type 2 Diabetes in Women
Fung, T. T., Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.20.2235 · Cited by 492 · see citing works
Shu, X.-O., Yang, G., Jin, F., Liu, D., Kushi, L. H., Wen, W., Gao, Y.-T., & Zheng, W. (2003) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601738 · Cited by 479 · see citing works
Self-citationThe Shanghai Women's Health Study: Rationale, Study Design, and Baseline Characteristics
Zheng, W., Chow, W., Yang, G., Jin, F., Rothman, N., Blair, A. E., Li, H. L., Wen, W., Ji, B., Li, Q., et al. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi322 · Cited by 445 · see citing works
Self-citationA Prospective Study of Red Meat Consumption and Type 2 Diabetes in Middle-Aged and Elderly Women
Song, Y., Manson, J. E., Buring, J. E., & Liu, S. (2004) · Diabetes Care · doi:10.2337/diacare.27.9.2108 · Cited by 368 · see citing works
Hofmann, S. M., Dong, H. H., Li, Z., Cai, W., Altomonte, J., Thung, S. N., Zeng, F., Fisher, E. A. A., & Vlassara, H. (2002) · Diabetes · doi:10.2337/diabetes.51.7.2082 · Cited by 296 · see citing works
Dietary Patterns and the Incidence of Type 2 Diabetes
Montonen, J. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi039 · Cited by 258 · see citing works
Williams, D. E., Prevost, A. T., Whichelow, M. J., Cox, B. D., Day, N. E., & Wareham, N. J. (2000) · British Journal Of Nutrition · doi:10.1017/s0007114500000337 · Cited by 250 · see citing works
Does a vegetarian diet reduce the occurrence of diabetes?
Snowdon, D. A., & Phillips, R. L. (1985) · American Journal of Public Health · doi:10.2105/ajph.75.5.507 · Cited by 248 · see citing works
Dietary factors and the risk of developing insulin dependent diabetes in childhood.
Dahlquist, G. G., Blom, L., Persson, L. Å., Sandström, A. I., & Wall, S. (1990) · BMJ · doi:10.1136/bmj.300.6735.1302 · Cited by 226 · see citing works
Gittelsohn, J., Wolever, T. M. S., Harris, S. B., Harris-Giraldo, R., Hanley, A. J., & Zinman, B. (1998) · Journal of Nutrition · doi:10.1093/jn/128.3.541 · Cited by 224 · see citing works
Heidemann, C., Hoffmann, K., Spranger, J., Klipstein‐Grobusch, K., Möhlig, M., Pfeiffer, A. F. H., & Boeing, H. (2005) · Diabetologia · doi:10.1007/s00125-005-1743-1 · Cited by 220 · 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
Reproducibility and Validity of the Shanghai Women's Health Study Physical Activity Questionnaire
Matthews, C. E. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg255 · Cited by 184 · see citing works
Diabetes Mellitus and Its Vascular Complications in Japanese Migrants on the Island of Hawaii
Kawate, R., Yamakido, M., Nishimoto, Y., Bennett, P. H., Hamman, R. F., & Knowler, W. C. (1979) · Diabetes Care · doi:10.2337/diacare.2.2.161 · Cited by 180 · see citing works
Nitrate and Nitrite Intake and the Risk for Type 1 Diabetes in Finnish Children
Virtanen, S. M., Jaakkola, L., Räsänen, L., Ylönen, K., Aro, A., Lounamaa, R., Åkerblom, H. K., Tuomilehto, J., & Childhood Diabetes in Finland Study Group (1994) · Diabetic Medicine · doi:10.1111/j.1464-5491.1994.tb00328.x · Cited by 131 · 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
Anthropometric predictors of coronary heart disease in Chinese women
Zhang, X., Shu, X., Yt, G., Yang, G., Matthews, C. E., Li, Q., Li, H., Jin, F., & Zheng, W. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802634 · Cited by 88 · see citing works
Self-citationPratley, R. E. (1998) · Proceedings of The Nutrition Society · doi:10.1079/pns19980029 · Cited by 81 · see citing works
Peppa, Μ., Goldberg, T., Cai, W., Rayfield, E. J., & Vlassara, H. (2002) · Diabetes Care · doi:10.2337/diacare.25.10.1898 · Cited by 57 · see citing works
Mechanisms of nitrosourea-induced beta-cell damage. Alterations in DNA
LeDoux, S. P., Woodley, S. E., Patton, N. J., & Wilson, G. L. (1986) · Diabetes · doi:10.2337/diabetes.35.8.866 · Cited by 41 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Yang G, Wang G, Pan X. China Food Composition. Beiging: Peking University Medical Press, 2002.
Cited by
Sorted by citations
Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216 · see citing works
Micha, R., Wallace, S. K., & Mozaffarian, D. (2010) · Circulation · doi:10.1161/circulationaha.109.924977 · Cited by 1,244 · see citing works
Schwingshackl, L., Hoffmann, G., Lampousi, A.-M., Knüppel, S., Iqbal, K., Schwedhelm, C., Bechthold, A., Schlesinger, S., & Boeing, H. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0246-y · Cited by 799 · see citing works
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
Micha, R., Michas, G., & Mozaffarian, D. (2012) · Current Atherosclerosis Reports · doi:10.1007/s11883-012-0282-8 · Cited by 502 · see citing works
The role of iron in type 2 diabetes in humans
Rajpathak, S. N., Crandall, J. P., Wylie-Rosett, J., Kabat, G. C., Rohan, T. E., & Hu, F. B. (2009) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2008.04.005 · Cited by 363 · see citing works
Associations between red meat intake and biomarkers of inflammation and glucose metabolism in women
Ley, S. H., Sun, Q., Willett, W. C., Eliassen, A. H., Wu, K., Pan, A., Grodstein, F., & Hu, F. B. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.075663 · Cited by 248 · see citing works
Meat consumption, diabetes, and its complications
Feskens, E. J. M., Sluik, D., & van Woudenbergh, G. J. (2013) · Current Diabetes Reports · doi:10.1007/s11892-013-0365-0 · Cited by 248 · see citing works
Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study
The InterAct Consortium (2013) · Diabetologia · doi:10.1007/s00125-012-2718-7 · Cited by 154 · see citing works
Vegetarian diet, change in dietary patterns, and diabetes risk: A prospective study
Chiu, T. H. T., Pan, W.-H., Lin, M.-N., & Lin, C.-L. (2018) · Nutrition & Diabetes · doi:10.1038/s41387-018-0022-4 · Cited by 116 · see citing works
Meat consumption and risk of type 2 diabetes: the Multiethnic Cohort
Steinbrecher, A., Erber, E., Grandinetti, A., Kolonel, L., & Maskarinec, G. (2011) · Public Health Nutrition · doi:10.1017/s1368980010002004 · Cited by 81 · see citing works
Männistö, S., Kontto, J., Kataja-Tuomola, M., Albanes, D., & Virtamo, J. (2010) · British Journal of Nutrition · doi:10.1017/s0007114510000073 · Cited by 65 · see citing works
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 · see citing works
- Authors
- Villegas, R., Shu, X. O., Gao, Y.-T., Yang, G., Cai, H., Li, H., & Zheng, W.
- Affiliations
- Vanderbilt University Medical Center (US)
- Vanderbilt University (US)
- Shanghai Cancer Institute (CN)
- Vanderbilt-Ingram Cancer Center (US)
- Venue
- International Journal of Medical Sciences
- Publisher
- Ivyspring International Publisher
- Published
- 2006
- Volume
- 3
- Issue
- 4
- Pages
- 152-159
- ISSN
- 1449-1907 (ISSN-L)
- OpenAlex
- W2146214285
- Cited by
- 73
- References
- 25
- Citations by year
- 2025: 3 · 2024: 5 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 8 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 5 · 2013: 8 · 2012: 4
- FWCI
- 1.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- International Journal of Medical Sciences (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA070867)
- 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
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Keywords
- type 2 diabetes, meat consumption, processed meat, poultry, body mass index, obesity, body weight, dietary risk factors, middle-aged women, Chinese women, interaction effects, diabetes 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