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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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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
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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
Vitamin D and Calcium Intake in Relation to Type 2 Diabetes in Women
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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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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