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Clinical Science| Volume 123, 154865, October 2021

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Dietary carbohydrate intake and new-onset diabetes: A nationwide cohort study in China

  • Chun Zhou
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Zhuxian Zhang
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Mengyi Liu
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Yuanyuan Zhang
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Huan Li
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Panpan He
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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  • Qinqin Li
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

    Institute of Biomedicine, Anhui Medical University, Hefei 230032, China
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  • Chengzhang Liu
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

    Institute of Biomedicine, Anhui Medical University, Hefei 230032, China
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  • Xianhui Qin
    Correspondence
    Corresponding author at: National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
    Affiliations
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

    Institute of Biomedicine, Anhui Medical University, Hefei 230032, China
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      Highlights

      • There was a U-shape association of total carbohydrate intake with new-onset diabetes.
      • 49–56% of energy from carbohydrate intake showed lowest risk of new-onset diabetes.
      • There was an L-shaped association of high-quality carbohydrate with new-onset diabetes.
      • There was a J-shaped association of low-quality carbohydrate with new-onset diabetes.
      • Plant LCD scores for low-quality carbohydrate were inversely associated with new-onset diabetes.

      Abstract

      Aim

      The association of carbohydrate intake with diabetes risk remains uncertain. We aimed to evaluate the prospective associations of the amount and types of carbohydrate intake with new-onset diabetes.

      Methods

      A total of 16,260 non-diabetic participants from the China Health and Nutrition Survey (CHNS) were included. Dietary intake was collected by three consecutive 24-h dietary recalls combined with a household food inventory. Participants with self-reported physician diagnosed diabetes, or fasting plasma glucose ≥7.0 mmol/L or glycated hemoglobin ≥6.5% during the follow-up were defined having new-onset diabetes.

      Results

      During a median follow-up of 9 years (158,930 person-years), 1100 participants developed diabetes. Overall, there was a U-shaped association between percent of energy from carbohydrate intake and new-onset diabetes, with minimal risk at 49–56% of energy from total carbohydrate intake (quartile 2) (P for nonlinearity <0.001). Moreover, there was an L-shaped association between high-quality carbohydrate intake and new-onset diabetes (P for nonlinearity <0.001), and a J-shaped association of low-quality carbohydrate intake with new-onset diabetes (P for nonlinearity <0.001). Furthermore, there was an inverse association between the plant-based low-carbohydrate diet scores for low-quality carbohydrate and new-onset diabetes. However, a reversed J-shaped association was found between the animal-based low-carbohydrate diet scores for low-quality carbohydrate and new-onset diabetes (P for nonlinearity <0.001).

      Conclusions

      There was a U-shape association between percent of total carbohydrate intake and new-onset diabetes, with the lowest risk at 49–56% carbohydrate intake. Our findings provide some evidence for the intake of high-quality carbohydrate, and the substitution of plant-based products for low-quality carbohydrate for primary prevention of diabetes.

      Abbreviations:

      CHNS (China Health and Nutrition Survey), IDF (International Diabetes Federation), FCT (food composition table), LCD (low-carbohydrate diet), SBP (systolic blood pressure), DBP (diastolic blood pressure), BMI (body mass index), HbA1c (glycated hemoglobin), SD (standard deviation), CI (confidence interval), IQR (inter-quartile range)

      Keywords

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      References

        • NCD Risk Factor Collaboration (NCD-RisC)
        Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants.
        Lancet. 2016; 387: 1513-1530https://doi.org/10.1016/S0140-6736(16)00618-8
        • Bazzano L.A.
        • Hu T.
        • Reynolds K.
        • et al.
        Effects of low-carbohydrate and low-fat diets: a randomized trial.
        Ann Intern Med. 2014; 161: 309-318https://doi.org/10.7326/M14-0180
        • Chawla S.
        • Tessarolo Silva F.
        • Amaral Medeiros S.
        • Mekary R.A.
        • Radenkovic D.
        The effect of low-fat and low-carbohydrate diets on weight loss and lipid levels: a systematic review and meta-analysis.
        Nutrients. 2020; 12: 3774https://doi.org/10.3390/nu12123774
        • Boden G.
        • Sargrad K.
        • Homko C.
        • Mozzoli M.
        • Stein T.P.
        Effect of a low-carbohydrate diet on appetite, blood glucose levels, and insulin resistance in obese patients with type 2 diabetes.
        Ann Intern Med. 2005; 142: 403-411https://doi.org/10.7326/0003-4819-142-6-200503150-00006
        • Greenwood D.C.
        • Threapleton D.E.
        • Evans C.E.
        • et al.
        Glycemic index, glycemic load, carbohydrates, and type 2 diabetes: systematic review and dose-response meta-analysis of prospective studies.
        Diab Care. 2013; 36: 4166-4171https://doi.org/10.2337/dc13-0325
        • Hardy D.S.
        • Garvin J.T.
        • Xu H.
        Carbohydrate quality, glycemic index, glycemic load and cardiometabolic risks in the US, Europe and Asia: a dose-response meta-analysis.
        Nutr Metab Cardiovasc Dis. 2020; 30: 853-871https://doi.org/10.1016/j.numecd.2019.12.050
        • Dehghan M.
        • Mente A.
        • Zhang X.
        • et al.
        Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study.
        Lancet. 2017; 390: 2050-2062https://doi.org/10.1016/S0140-6736(17)32252-3
        • Popkin B.M.
        • Du S.
        • Zhai F.
        • Zhang B.
        Cohort profile: the China Health and Nutrition Survey—monitoring and understanding socio-economic and health change in China, 1989–2011.
        Int J Epidemiol. 2010; 39: 1435-1440https://doi.org/10.1093/ije/dyp322
        • Zhang B.
        • Zhai F.Y.
        • Du S.F.
        • Popkin B.M.
        The China health and nutrition survey, 1989–2011.
        Obes Rev. 2014; 15: 2-7https://doi.org/10.1111/obr.12119
        • He J.
        • Fang A.
        • Yu S.
        • Shen X.
        • Li K.
        Dietary nonheme, heme, and total iron intake and the risk of diabetes in adults: results from the China health and nutrition survey.
        Diab Care. 2020; 43: 776-784https://doi.org/10.2337/dc19-2202
        • Liu M.
        • Zhou C.
        • Zhang Z.
        • et al.
        Inverse association between riboflavin intake and new-onset hypertension: a nationwide cohort study in China.
        Hypertension. 2020; 76: 1709-1716https://doi.org/10.1161/HYPERTENSIONAHA.120.16211
        • Zhang Z.
        • Liu M.
        • Zhou C.
        • et al.
        Evaluation of dietary niacin and new-onset hypertension among Chinese adults.
        JAMA Netw Open. 2021; 4e2031669https://doi.org/10.1001/jamanetworkopen.2020.31669
        • Seidelmann S.B.
        • Claggett B.
        • Cheng S.
        • et al.
        Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis.
        Lancet Publ Health. 2018; 3: e419-e428https://doi.org/10.1016/S2468-2667(18)30135-X
        • Zhai F.
        • Guo X.
        • Popkin B.
        • et al.
        Evaluation of the 24-hour individual recall method in China.
        Food Nutr Bull. 1996; 17: 1-5
        • Willett W.
        • Stampfer M.J.
        Total energy intake: implications for epidemiologic analyses.
        Am J Epidemiol. 1986; 124: 17-27https://doi.org/10.1093/oxfordjournals.aje. a114366
        • Shan Z.
        • Rehm C.D.
        • Rogers G.
        • Ruan M.
        • Wang D.D.
        • Hu F.B.
        • et al.
        Trends in dietary carbohydrate, protein, and fat intake and diet quality among US Adults, 1999–2016.
        JAMA. 2019; 322: 1178-1187https://doi.org/10.1001/jama.2019.13771
        • U.S. Department of Agriculture (USDA)
        USDA choose MyPlate.gov vegetable group food gallery.
        (Accessed June 8, 2020) (8 June)
        • Halton T.L.
        • Willett W.C.
        • Liu S.
        • et al.
        Low-carbohydrate-diet score and the risk of coronary heart disease in women.
        N Engl J Med. 2006; 355: 1991-2002https://doi.org/10.1056/NEJMoa055317
        • Jia W.
        • Weng J.
        • Zhu D.
        • et al.
        Standards of medical care for type 2 diabetes in China 2019.
        Diab Metab Res Rev. 2019; 35e3158https://doi.org/10.1002/dmrr.3158
        • American Diabetes Association
        2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2021.
        Diab Care. 2021; 44 (Suppl 1. Jan): S15-S33https://doi.org/10.2337/dc21-S002
        • Zhuang P.
        • Mao L.
        • Wu F.
        • Wang J.
        • Jiao J.
        • Zhang Y.
        Cooking oil consumption is positively associated with risk of type 2 diabetes in a Chinese nationwide cohort study.
        J Nutr. 2020; 150: 1799-1807https://doi.org/10.1093/jn/nxaa103
        • Hu F.B.
        • Stampfer M.J.
        • Rimm E.
        • et al.
        Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements.
        Am J Epidemiol. 1999; 149: 531-540https://doi.org/10.1093/oxfordjournals.aje.a009849
        • AlEssa H.B.
        • Bhupathiraju S.N.
        • Malik V.S.
        • et al.
        Carbohydrate quality and quantity and risk of type 2 diabetes in US women.
        Am J Clin Nutr. 2015; 102: 1543-1553https://doi.org/10.3945/ajcn.115.116558
        • Sakurai M.
        • Nakamura K.
        • Miura K.
        • et al.
        Dietary carbohydrate intake, presence of obesity and the incident risk of type 2 diabetes in Japanese men.
        J Diab Investig. 2016; 7: 343-351https://doi.org/10.1111/jdi.12433
        • Villegas R.
        • Liu S.
        • Gao Y.T.
        • et al.
        Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women.
        Arch Intern Med. 2007; 167: 2310-2316https://doi.org/10.1001/archinte.167.21.2310
        • Lee K.W.
        • Lyu J.
        • Park J.K.
        • Jo C.
        • Kim S.S.
        Dietary carbohydrate quality and quantity in relation to the incidence of type 2 diabetes: A prospective cohort study of middle-aged and older Korean adults.
        Nutrition. 2019; 57: 245-251https://doi.org/10.1016/j.nut.2018.04.011
        • Ha K.
        • Joung H.
        • Song Y.
        Inadequate fat or carbohydrate intake was associated with an increased incidence of type 2 diabetes mellitus in Korean adults: a 12-year community-based prospective cohort study.
        Diab Res Clin Pract. 2019; 148: 254-261https://doi.org/10.1016/j.diabres.2019.01.024
        • Kim S.Y.
        • Woo H.W.
        • Lee Y.H.
        • et al.
        Association of dietary glycaemic index, glycaemic load, and total carbohydrates with incidence of type-2 diabetes in adults aged ≥40 years: the Multi-Rural Communities Cohort (MRCohort).
        Diab Res Clin Pract. 2020; 160: 108007https://doi.org/10.1016/j.diabres.2020.108007
        • Oba S.
        • Nagata C.
        • Nakamura K.
        • et al.
        Dietary glycemic index, glycemic load, and intake of carbohydrate and rice in relation to risk of mortality from stroke and its subtypes in Japanese men and women.
        Metabolism. 2010; 59: 1574-1582https://doi.org/10.1016/j.metabol.2010.02.004
        • Li Q.
        • Liu C.
        • Zhang S.
        • et al.
        Dietary carbohydrate intake and new-onset hypertension: a nationwide cohort study in China.
        Hypertension. 2021; ([Online ahead of print.])https://doi.org/10.1161/HYPERTENSIONAHA.120.16751
        • Ho F.K.
        • Gray S.R.
        • Welsh P.
        • et al.
        Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants.
        BMJ. 2020; 368: m688https://doi.org/10.1136/bmj.m688
        • Ley S.H.
        • Hamdy O.
        • Mohan V.
        • Hu F.B.
        Prevention and management of type 2 diabetes: dietary components and nutritional strategies.
        Lancet. 2014; 383: 1999-2007https://doi.org/10.1016/S0140-6736(14)60613-9
        • Institute of Medicine of the National Academies
        Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids (macronutrients).
        (Washington, DC) National Academy Press, 2002
        • Thorburn A.
        • Muir J.
        • Proietto J.
        Carbohydrate fermentation decreases hepatic glucose output in healthy subjects.
        Metabolism. 1993; 42: 780-785https://doi.org/10.1016/0026-0495(93)90249-n
        • Weickert M.O.
        • Mohlig M.
        • Koebnick C.
        • et al.
        Impact of cereal fibre on glucoseregulating factors.
        Diabetologia. 2005; 48: 2343-2353https://doi.org/10.1007/s00125-005-1941-x
        • Wolever T.M.
        • Miller J.B.
        Sugars and blood glucose control.
        Am J Clin Nutr. 1995; 62: 212S-221Shttps://doi.org/10.1093/ajcn/62.1.212S
        • Malin S.K.
        • Kullman E.L.
        • Scelsi A.R.
        • et al.
        A whole-grain diet reduces peripheral insulin resistance and improves glucose kinetics in obese adults: a randomized-controlled trial.
        Metabolism. 2018; 82: 111-117https://doi.org/10.1016/j.metabol. 2017.12.011
        • Sasakabe T.
        • Haimoto H.
        • Umegaki H.
        • Wakai K.
        Association of decrease in carbohydrate intake with reduction in abdominal fat during 3-month moderate low-carbohydrate diet among non-obese Japanese patients with type 2 diabetes.
        Metabolism. 2015; 64: 618-625https://doi.org/10.1016/j.metabol.2015.01.012
        • Ruth M.R.
        • Port A.M.
        • Shah M.
        • et al.
        Consuming a hypocaloric high fat low carbohydrate diet for 12 weeks lowers C-reactive protein, and raises serum adiponectin and high-density lipoprotein-cholesterol in obese subjects.
        Metabolism. 2013; 62: 1779-1787https://doi.org/10.1016/j.metabol.2013.07.006
        • Chinese Diabetes Society
        China guideline for type 2 diabetes (2007).
        Zhonghua Yi Xue Za Zhi. 2008; 88: 1227-1245
        • Chinese Diabetes Society
        China guideline for type 2 diabetes (2010).
        Chin J Diab. 2012; 20: S1-S36
        • Jia W.
        • Weng J.
        • Zhu D.
        • Chinese Diabetes Society
        • et al.
        Standards of medical care for type 2 diabetes in China 2019.
        Diabetes Metab Res Rev. 2019; 35: e3158
        • Xue H.
        • Yang M.
        • Liu Y.
        • et al.
        Relative validity of a 2-day 24-hour dietary recall compared with a 2-day weighed dietary record among adults in South China.
        Nutr Diet. 2017; 74: 298-307https://doi.org/10.1111/1747-0080.12315
        • Yao M.
        • McCrory M.A.
        • Ma G.
        • et al.
        Relative influence of diet and physical activity on body composition in urban Chinese adults.
        Am J Clin Nutr. 2003; 77: 1409-1416https://doi.org/10.1093/ajcn/77.6.1409

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