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Association of dairy consumption patterns with the incidence of type 2 diabetes: Findings from Alberta's Tomorrow Project

  • Emad Yuzbashian
    Affiliations
    Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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  • Mohammadreza Pakseresht
    Affiliations
    Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada

    Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Alberta, Canada
    Search for articles by this author
  • Jennifer Vena
    Affiliations
    Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada

    Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Alberta, Canada
    Search for articles by this author
  • Catherine B. Chan
    Correspondence
    Corresponding author. 4-126 Li Ka Shing Centre for Health Innovation Research, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
    Affiliations
    Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada

    Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
    Search for articles by this author
Published:October 03, 2022DOI:https://doi.org/10.1016/j.numecd.2022.09.022

      Highlights

      • Observational studies on dairy products and type 2 diabetes neglect consideration of the overall dairy intake habits of people.
      • It was the first time to analyze people's adherence to three to the three extracted dairy consumption patterns using PCA.
      • Men with a pattern characterized by high intake of whole milk, regular cheese, and non-fat milk had a lower incidence of T2D.

      Abstract

      Background and aims

      We aimed to extract dairy consumption patterns of men and women from a population-based cohort and then assess the association of each consumption pattern with incident T2D risk.

      Methods and results

      This prospective study was conducted within the framework of Alberta's Tomorrow Project (ATP), in which 8615 men and 15,016 women provided information on dietary intake by completing a food-frequency questionnaire at baseline, and then were followed up over time to determine the incidence of T2D via questionnaires. Principal Component Analysis (PCA) was used to extract dairy consumption patterns (DCPs). The association between each extracted pattern and T2D incidence was estimated using multivariable logistic regression models.The incidence of T2D among men and women was 3.8 and 3.2%, respectively, and the mean duration of follow-up was 5.2 years. Three major DCPs were identified. After controlling for potential confounders, the OR for risk of T2D in men in the highest compared with those in the lowest quartile of the DCP3 (whole milk, regular cheese, and non-fat milk as a beverage and in cereal) was 0.64 (95%CI: 0.47 to 0.88, P-trend=0.001), whereas it was not significant for women. DCP1 and DCP2 were not associated with incident T2D in men or women.

      Conclusion

      Adherence to a DCP characterized by higher consumption of whole milk, regular cheese, and non-fat milk was associated with decreased risk of incident T2D only in men. Our results support current evidence that a combination of different dairy products, regardless of their fat content, might be favorable for health maintenance, at least in men.

      Keywords

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      References

        • McDowell M.
        US department of health and human services—US department of agriculture survey integration activities.
        J Journal of Food Composition Analysis. 2003; 16: 343-346
        • Public Health England
        The eatwell Guide.
        2017
        • Vorster H.
        • Badham J.
        • Venter C.
        An introduction to the revised food-based guidelines for South Africa.
        SAJCN, 2013
        • Ludwig D.S.
        • Willett W.C.
        Three daily servings of reduced-fat milk: an evidence-based recommendation?.
        JAMA Pediatr. 2013; 167: 788-789
        • Lovegrove J.A.
        Dietary dilemmas over fats and cardiometabolic risk.
        Proc Nutr Soc. 2020; 79: 11-21
        • Sellem L.
        • Jackson K.G.
        • Paper L.
        • Givens I.D.
        • Lovegrove J.A.
        Can individual fatty acids be used as functional biomarkers of dairy fat consumption in relation to cardiometabolic health? A narrative review.
        Br J Nutr. 2022; : 1-38
        • Nestel P.J.
        • Mori T.A.
        Dairy foods: is its cardiovascular risk profile changing?.
        Curr Atherosclerosis Rep. 2022; 24: 33-40
        • Alvarez-Bueno C.
        • Cavero-Redondo I.
        • Martinez-Vizcaino V.
        • Sotos-Prieto M.
        • Ruiz J.R.
        • Gil A.
        Effects of milk and dairy product consumption on type 2 diabetes: overview of systematic reviews and meta-analyses.
        Adv Nutr. 2019; 10: S154-S163
        • Yuzbashian E.
        • Asghari G.
        • Mirmiran P.
        • Chan C.B.
        • Azizi F.
        Changes in dairy product consumption and subsequent type 2 diabetes among individuals with prediabetes: tehran Lipid and Glucose Study.
        Nutr J. 2021; 20: 88
        • Slurink I.A.L.
        • Voortman T.
        • Ochoa-Rosales C.
        • Ahmadizar F.
        • Kavousi M.
        • Kupper N.
        • et al.
        Dairy product consumption in relation to incident prediabetes and longitudinal insulin resistance in the rotterdam study.
        Nutrients. 2022; 14
        • Mishali M.
        • Prizant-Passal S.
        • Avrech T.
        • Shoenfeld Y.
        Association between dairy intake and the risk of contracting type 2 diabetes and cardiovascular diseases: a systematic review and meta-analysis with subgroup analysis of men versus women.
        Nutr Rev. 2019; 77: 417-429
        • Tong X.
        • Dong J.Y.
        • Wu Z.W.
        • Li W.
        • Qin L.Q.
        Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies.
        Eur J Clin Nutr. 2011; 65: 1027-1031
        • Liu S.
        • Choi H.K.
        • Ford E.
        • Song Y.
        • Klevak A.
        • Buring J.E.
        • et al.
        A prospective study of dairy intake and the risk of type 2 diabetes in women.
        Diabetes Care. 2006; 29: 1579-1584
        • Gudi S.K.
        Dairy consumption and risk of type-2 diabetes: the untold story.
        Ann Pediatr Endocrinol Metab. 2021; 26: 14-18
        • Gao D.
        • Ning N.
        • Wang C.
        • Wang Y.
        • Li Q.
        • Meng Z.
        • et al.
        Dairy products consumption and risk of type 2 diabetes: systematic review and dose-response meta-analysis.
        PLoS One. 2013; 8e73965
        • Wang Y.
        • Li S.
        Worldwide trends in dairy production and consumption and calcium intake: is promoting consumption of dairy products a sustainable solution for inadequate calcium intake?.
        Food Nutr Bull. 2008; 29: 172-185
        • Ye M.
        • Robson P.J.
        • Eurich D.T.
        • Vena J.E.
        • Xu J.Y.
        • Johnson J.A.
        Cohort profile: Alberta's Tomorrow Project.
        Int J Epidemiol. 2017; 46 (8l): 1097
        • Robson P.J.
        • Solbak N.M.
        • Haig T.R.
        • Whelan H.K.
        • Vena J.E.
        • Akawung A.K.
        • et al.
        Design, methods and demographics from phase I of Alberta's Tomorrow Project cohort: a prospective cohort profile.
        CMAJ Open. 2016; 4: E515-E527
        • Csizmadi I.
        • Kahle L.
        • Ullman R.
        • Dawe U.
        • Zimmerman T.P.
        • Friedenreich C.M.
        • et al.
        Adaptation and evaluation of the national cancer institute's diet history questionnaire and nutrient database for Canadian populations.
        Publ Health Nutr. 2007; 10: 88-96
        • Csizmadi I.
        • Boucher B.A.
        • Lo Siou G.
        • Massarelli I.
        • Rondeau I.
        • Garriguet D.
        • et al.
        Using national dietary intake data to evaluate and adapt the US Diet History Questionnaire: the stepwise tailoring of an FFQ for Canadian use.
        Publ Health Nutr. 2016; 19: 3247-3255
        • Krebs-Smith S.M.
        • Pannucci T.E.
        • Subar A.F.
        • Kirkpatrick S.I.
        • Lerman J.L.
        • Tooze J.A.
        • et al.
        Update of the healthy eating index: HEI-2015.
        J Acad Nutr Diet. 2018; 118: 1591-1602
        • Katamay S.W.
        • Esslinger K.A.
        • Vigneault M.
        • Johnston J.L.
        • Junkins B.A.
        • Robbins L.G.
        • et al.
        Eating well with Canada's Food Guide (2007): development of the food intake pattern.
        65. 2007: 155-166
        • Okura Y.
        • Urban L.H.
        • Mahoney D.W.
        • Jacobsen S.J.
        • Rodeheffer R.J.
        Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure.
        J Clin Epidemiol. 2004; 57: 1096-1103
        • Zhang J.
        • Lim K.
        • Shin S.
        Dairy product consumption and type 2 diabetes among Korean adults: a prospective cohort study based on the Health Examinees (HEXA) study.
        Epidemiology and health. 2022; 44e2022019
        • Slurink I.A.L.
        • den Braver N.R.
        • Rutters F.
        • Kupper N.
        • Smeets T.
        • Elders P.J.M.
        • et al.
        Dairy product consumption and incident prediabetes in Dutch middle-aged adults: the Hoorn Studies prospective cohort.
        Eur J Nutr. 2022; 61: 183-196
        • Willett W.C.
        • Howe G.R.
        • Kushi L.H.
        Adjustment for total energy intake in epidemiologic studies.
        Am J Clin Nutr. 1997; 65 (8S; discussion 9S-31S): 1220S
        • Hu F.B.
        Dietary pattern analysis: a new direction in nutritional epidemiology.
        Curr Opin Lipidol. 2002; 13: 3-9
        • Newby P.K.
        • Tucker K.L.
        Empirically derived eating patterns using factor or cluster analysis: a review.
        Nutr Rev. 2004; 62: 177-203
        • Thorning T.K.
        • Bertram H.C.
        • Bonjour J.P.
        • de Groot L.
        • Dupont D.
        • Feeney E.
        • et al.
        Whole dairy matrix or single nutrients in assessment of health effects: current evidence and knowledge gaps.
        Am J Clin Nutr. 2017; 105: 1033-1045
        • Drouin-Chartier J.P.
        • Hernandez-Alonso P.
        • Guasch-Ferre M.
        • Ruiz-Canela M.
        • Li J.
        • Wittenbecher C.
        • et al.
        Dairy consumption, plasma metabolites, and risk of type 2 diabetes.
        Am J Clin Nutr. 2021; 114: 163-174
        • Prada M.
        • Wittenbecher C.
        • Eichelmann F.
        • Wernitz A.
        • Drouin-Chartier J.P.
        • Schulze M.B.
        Association of the odd-chain fatty acid content in lipid groups with type 2 diabetes risk: a targeted analysis of lipidomics data in the EPIC-Potsdam cohort.
        Clin Nutr. 2021; 40: 4988-4999
        • Imamura F.
        • Fretts A.
        • Marklund M.
        • Ardisson Korat A.V.
        • Yang W.S.
        • Lankinen M.
        • et al.
        Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: a pooled analysis of prospective cohort studies.
        PLoS Med. 2018; 15e1002670
        • Bhavadharini B.
        • Dehghan M.
        • Mente A.
        • Rangarajan S.
        • Sheridan P.
        • Mohan V.
        • et al.
        Association of dairy consumption with metabolic syndrome, hypertension and diabetes in 147 812 individuals from 21 countries.
        BMJ Open Diabetes Res Care. 2020; 8
        • Soedamah-Muthu S.S.
        • de Goede J.
        Dairy consumption and cardiometabolic diseases: systematic review and updated meta-analyses of prospective cohort studies.
        Curr Nutr Rep. 2018; 7: 171-182
        • Brunner E.J.
        • Mosdøl A.
        • Witte D.R.
        • Martikainen P.
        • Stafford M.
        • Shipley M.J.
        • et al.
        Dietary patterns and 15-y risks of major coronary events, diabetes, and mortality.
        Am J Clin Nutr. 2008; 87: 1414-1421
        • Hodge A.M.
        • English D.R.
        • O'Dea K.
        • Giles G.G.
        Dietary patterns and diabetes incidence in the melbourne collaborative cohort study.
        Am J Epidemiol. 2007; 165: 603-610
        • Montonen J.
        • Knekt P.
        • Härkänen T.
        • Järvinen R.
        • Heliövaara M.
        • Aromaa A.
        • et al.
        Dietary patterns and the incidence of type 2 diabetes.
        Am J Epidemiol. 2005; 161: 219-227
        • van Dam R.M.
        • Rimm E.B.
        • Willett W.C.
        • Stampfer M.J.
        • Hu F.B.
        Dietary patterns and risk for type 2 diabetes mellitus in U.S. men.
        Ann Intern Med. 2002; 136: 201-209
        • Mozaffarian D.
        Dairy foods and type 2 diabetes: profiling our metabolites and health.
        Am J Clin Nutr. 2021; 114: 5-6
        • Mozaffarian D.
        Dairy foods, dairy fat, diabetes, and death: what can be learned from 3 large new investigations?.
        Am J Clin Nutr. 2019; 110: 1053-1054
        • Kirkpatrick S.I.
        • Reedy J.
        • Krebs-Smith S.M.
        • Pannucci T.E.
        • Subar A.F.
        • Wilson M.M.
        • et al.
        Applications of the healthy eating index for surveillance, epidemiology, and intervention research: considerations and caveats.
        J Acad Nutr Diet. 2018; 118: 1603-1621
        • Hruby A.
        • Ma J.
        • Rogers G.
        • Meigs J.B.
        • Jacques P.F.
        Associations of dairy intake with incident prediabetes or diabetes in middle-aged adults vary by both dairy type and glycemic status.
        J Nutr. 2017; 147: 1764-1775
        • Hansson P.
        • Holven K.B.
        • Oyri L.K.L.
        • Brekke H.K.
        • Gjevestad G.O.
        • Rehfeld J.F.
        • et al.
        Dairy products influence gut hormone secretion and appetite differently: a randomized controlled crossover trial.
        J Dairy Sci. 2020; 103: 1100-1109
        • Kavezade S.
        • Mozaffari-Khosravi H.
        • Aflatoonian M.
        • Asemi M.
        • Mehrabani S.
        • Salehi-Abargouei A.
        The effects of whole milk compared to skim milk and apple juice consumption in breakfast on appetite and energy intake in obese children: a three-way randomized crossover clinical trial.
        BMC Nutr. 2018; 4: 44
        • Vien S.
        • Fard S.
        • El Khoury D.
        • Luhovyy B.
        • Fabek H.
        • Anderson G.H.
        Age and sex interact to determine the effects of commonly consumed dairy products on postmeal glycemia, satiety, and later meal food intake in adults.
        J Nutr. 2021; 151: 2161-2174
        • Maher T.
        • Clegg M.E.
        A systematic review and meta-analysis of medium-chain triglycerides effects on acute satiety and food intake.
        Crit Rev Food Sci Nutr. 2021; 61: 636-648
        • Coleman H.
        • Quinn P.
        • Clegg M.E.
        Medium-chain triglycerides and conjugated linoleic acids in beverage form increase satiety and reduce food intake in humans.
        Nutr Res. 2016; 36: 526-533
        • Maher T.
        • Deleuse M.
        • Thondre S.
        • Shafat A.
        • Clegg M.E.
        A comparison of the satiating properties of medium-chain triglycerides and conjugated linoleic acid in participants with healthy weight and overweight or obesity.
        Eur J Nutr. 2021; 60: 203-215
        • Comino E.J.
        • Tran D.T.
        • Haas M.
        • Flack J.
        • Jalaludin B.
        • Jorm L.
        • et al.
        Validating self-report of diabetes use by participants in the 45 and up Study: a record linkage study.
        BMC Health Serv Res. 2013; 13: 481