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
- 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
- Effects of low-carbohydrate and low-fat diets: a randomized trial.Ann Intern Med. 2014; 161: 309-318https://doi.org/10.7326/M14-0180
- 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
- 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
- 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
- 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
- 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
- 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
- The China health and nutrition survey, 1989–2011.Obes Rev. 2014; 15: 2-7https://doi.org/10.1111/obr.12119
- 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
- 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
- Evaluation of dietary niacin and new-onset hypertension among Chinese adults.JAMA Netw Open. 2021; 4e2031669https://doi.org/10.1001/jamanetworkopen.2020.31669
- 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
- Evaluation of the 24-hour individual recall method in China.Food Nutr Bull. 1996; 17: 1-5
- Total energy intake: implications for epidemiologic analyses.Am J Epidemiol. 1986; 124: 17-27https://doi.org/10.1093/oxfordjournals.aje. a114366
- 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
- USDA choose MyPlate.gov vegetable group food gallery.(Accessed June 8, 2020) (8 June)
- 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
- Standards of medical care for type 2 diabetes in China 2019.Diab Metab Res Rev. 2019; 35e3158https://doi.org/10.1002/dmrr.3158
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids (macronutrients).(Washington, DC) National Academy Press, 2002
- Carbohydrate fermentation decreases hepatic glucose output in healthy subjects.Metabolism. 1993; 42: 780-785https://doi.org/10.1016/0026-0495(93)90249-n
- Impact of cereal fibre on glucoseregulating factors.Diabetologia. 2005; 48: 2343-2353https://doi.org/10.1007/s00125-005-1941-x
- Sugars and blood glucose control.Am J Clin Nutr. 1995; 62: 212S-221Shttps://doi.org/10.1093/ajcn/62.1.212S
- 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
- 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
- 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
- China guideline for type 2 diabetes (2007).Zhonghua Yi Xue Za Zhi. 2008; 88: 1227-1245
- China guideline for type 2 diabetes (2010).Chin J Diab. 2012; 20: S1-S36
- Standards of medical care for type 2 diabetes in China 2019.Diabetes Metab Res Rev. 2019; 35: e3158
- 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
- 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
Article info
Publication history
Published online: August 12, 2021
Accepted:
August 10,
2021
Received:
June 4,
2021
Identification
Copyright
© 2021 Elsevier Inc. All rights reserved.
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- Corrigendum to ‘Dietary carbohydrate intake and new-onset diabetes: A Nationwide Cohort Study in China’ [Metab Clin Exp 123 (2021) 154865]Metabolism - Clinical and ExperimentalVol. 127