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Dairy products and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies
Open accessAbstract
Background The association between intake of dairy products and the risk of type 2 diabetes has been investigated in several studies, but the evidence is not conclusive.Objective We conducted an updated systematic review and dose-response meta-analysis of dairy product intake and the risk of type 2 diabetes.Design We searched the PubMed database for prospective cohort and nested case-control studies of dairy product intake and risk of type 2 diabetes up to 5 June 2013. Summary RRs were estimated by use of a random-effects model.Results Seventeen cohort studies were included in the meta-analysis. In the dose-response analysis, the summary RRs (95% CIs) were 0.93 (0.87, 0.99; I(2) = 33%) per 400 g total dairy products/d (n = 12), 0.98 (0.94, 1.03; I(2) = 8%) per 200 g high-fat dairy products/d (n = 9), 0.91 (0.86, 0.96; I(2) = 40%) per 200 g low-fat dairy products/d (n = 9), 0.87 (0.72, 1.04; I(2) = 94%) per 200 g milk/d (n = 7), 0.92 (0.86, 0.99; I(2) = 0%) per 50 g cheese/d (n = 8), and 0.78 (0.60, 1.02; I(2) = 70%) per 200 g yogurt/d (n = 7). Nonlinear inverse associations were observed for total dairy products (P-nonlinearity < 0.0001), low-fat dairy products (P-nonlinearity = 0.06), cheese (P-nonlinearity = 0.05), and yogurt (P-nonlinearity = 0.004), and there was a flattening of the curve at higher intakes.Conclusions This meta-analysis suggests that there is a significant inverse association between intakes of dairy products, low-fat dairy products, and cheese and risk of type 2 diabetes. Any additional studies should assess the association between other specific types of dairy products and the risk of type 2 diabetes and adjust for more confounding factors.
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“These main sources of sucrose have shown beneficial associations (for example, whole grain cereals, fruit, and yogurt) with type 2 diabetes mellitus and cardiovascular disease mortality.87 88 89 90 91 92”
From Dietary sugar consumption and health: umbrella review (2023) · cites this paper as [87]
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Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
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 7,138
IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. E. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.10.029 · Cited by 4,018
Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis
Greenland, S., & Longnecker, M. P. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116237 · Cited by 2,353
The Role of Vitamin D and Calcium in Type 2 Diabetes. A Systematic Review and Meta-Analysis
Pittas, A. G., Lau, J., Hu, F. B., & Dawson-Hughes, B. F. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-0298 · Cited by 2,048
Dairy Consumption, Obesity, and the Insulin Resistance Syndrome in Young Adults: The CARDIA Study
Pereira, M. A., Jacobs, Jr., Van Horn, L., Slattery, M. L., Kartashov, A. I., & Ludwig, D. S. (2002) · JAMA · doi:10.1001/jama.287.16.2081 · Cited by 1,102
Dietary Intake and the Development of the Metabolic Syndrome
Lutsey, P. L., Steffen, L. M., & Stevens, J. (2008) · Circulation · doi:10.1161/circulationaha.107.716159 · Cited by 841
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Pittas, A. G., Dawson‐Hughes, B., Li, T., van Dam, R. M., Willett, W. C., Manson, J. E., & Hu, F. B. (2006) · Diabetes Care · doi:10.2337/diacare.29.03.06.dc05-1961 · Cited by 837
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Firoozi, R., Weeks, H. M., Ludwig-Borycz, E. F., Clayson, M. E., Zawistowski, M., Needham, B. L., & Bauer, K. W. (2023) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2023.04.003
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Khatsko, Mykhaylenko, Danylchuk, Kornovan, & Lahoda (2024) · Diabetes Obesity Metabolic Syndrome · doi:10.57105/2415-7252-2024-2-02
Doosti‐Irani, A., Cheraghi, P., Shirmohammadi, N., Khdemi-Monfared, B., & Cheraghi, Z. (2024) · The Journal of Tehran University Heart Center · doi:10.18502/jthc.v19i2.16199
“12 This study aimed to investigate the prevalence of dairy product consumption and its associated factors among adults in Hamedan City.”
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Lan, X., Liu, P., Jiang, S., & Yuan, G. (2024) · International Conference on Intelligent Education and Computer Technology (IECT) · doi:10.1145/3687311.3687365
“…products, low-fat dairy products This suggests that we can achieve a reduction in the risk of diabetes through the consumption of dairy products [6, 7]; in terms of meat foods, studies have shown that high intake of fish does not reduce the risk of T2DM, but high intake of red meat and…”
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“Findings from studies [3,26,27] emphasize the health benefits of low-fat dairy products, including skim milk and yogurt, with consistent risk reduction observed in additional research [28,29].”
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The Cost-Effectiveness of Increased Yogurt Intake in Type 2 Diabetes in Japan
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Yehia, N. A., Santaren, I. D., Johnston, L., Sievenpiper, J. L., Giacca, A., Retnakaran, R. R., Harris, S. B., Bazinet, R. P., & Hanley, A. J. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.10.012
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Ohlsson, J. (2014) · Epsilon Archive for Student Projects (University of Southampton)
Cohen, S. S., Bylsma, L. C., Movva, N., & Alexander, D. D. (2022) · Figshare · doi:10.6084/m9.figshare.20688677
Yuzbashian, E., Asghari, G., Mirmiran, P., Chan, C. B., & Azizi, F. (2021) · Figshare · doi:10.6084/m9.figshare.16907359
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Canhada, S., Vigo, Á., Levy, R., Luft, V. C., da Fonseca, M. D. J. M., Giatti, L., Molina, M. D. C. B., Duncan, B. B., & Schmidt, M. I. (2024) · Figshare · doi:10.6084/m9.figshare.26640292
Cao, L., Wen, Y., Fan, K., Wang, Q., Zhang, Y., Li, Z., Wang, N., & Zhang, X. (2024) · Figshare · doi:10.6084/m9.figshare.26701045
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Hamulka, J., Górnicka, M., Berthold‐Pluta, A., Kalinowski, A., Habánová, M., & Madej, D. (2025) · Nutrients · doi:10.3390/nu17243922
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Talari, B., Masoudifar, K., & Alam, S. N. (2026) · Food Analytical Methods · doi:10.1007/s12161-026-02984-2
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Nouri, M., Shateri, Z., & Faghih, S. (2026) · Journal of Health Population and Nutrition · doi:10.1186/s41043-026-01327-5
Rao, R. V., Subramaniam, K. G., Gregory, J., Bredesen, A. L., Coward, C., Okada, S., Kelly, L., & Bredesen, D. E. (2026) · Nutrients · doi:10.3390/nu18132206
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Park, S. J., Sesso, H. D., Orkaby, A. R., & Ivey, K. L. (2026) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2026.100942
Kolbe, P., Kietaibl, A.-T., & Rega‐Kaun, G. (2026) · Nutrients · doi:10.3390/nu18203407
Metadata
- Authors
- Aune, D., Norat, T., Romundstad, P., & Vatten, L. J.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 98
- Issue
- 4
- Pages
- 1066-1083
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2108208530
- Cited by
- 434
- References
- 59
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 25 · 2023: 23 · 2022: 22 · 2021: 32 · 2020: 36 · 2019: 50 · 2018: 42 · 2017: 52 · 2016: 48 · 2015: 42 · 2014: 30 · 2013: 3
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Keywords
- dairy products, type 2 diabetes, low-fat dairy, cheese, yogurt, milk, high-fat dairy, dose-response relationship, inverse association, nonlinear relationship, dietary intake, diabetes risk, confounding adjustment
- MeSH terms
- Animals, Cheese, Dairy Products, Diabetes Mellitus, Type 2, Diet, Dietary Fats, Humans, Milk, Prospective Studies, Risk Factors, Yogurt, Cohort Studies, Case-Control Studies
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