1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, Colagiuri S, Guariguata L, Motala AA, Ogurtsova K, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019; 157:107843. PMID:
31518657.
Article
2. Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, Song X, Ren Y, Shan PF. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep. 2020; 10:14790. PMID:
32901098.
Article
3. Bommer C, Sagalova V, Heesemann E, Manne-Goehler J, Atun R, Bärnighausen T, Davies J, Vollmer S. Global economic burden of diabetes in adults: projections from 2015 to 2030. Diabetes Care. 2018; 41:963–970. PMID:
29475843.
Article
4. Cousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, et al. Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol. 2022; 10:177–192. PMID:
35143780.
5. Jiang X, Zhang D, Jiang W. Coffee and caffeine intake and incidence of type 2 diabetes mellitus: a meta-analysis of prospective studies. Eur J Nutr. 2014; 53:25–38. PMID:
24150256.
Article
6. Bhupathiraju SN, Pan A, Manson JE, Willett WC, van Dam RM, Hu FB. Changes in coffee intake and subsequent risk of type 2 diabetes: three large cohorts of US men and women. Diabetologia. 2014; 57:1346–1354. PMID:
24771089.
Article
7. Kim Y, Je Y, Giovannucci E. Coffee consumption and all-cause and cause-specific mortality: a meta-analysis by potential modifiers. Eur J Epidemiol. 2019; 34:731–752. PMID:
31055709.
Article
8. Cho HJ, Yoo JY, Kim AN, Moon S, Choi J, Kim I, Ko KP, Lee JE, Park SK. Association of coffee drinking with all-cause and cause-specific mortality in over 190,000 individuals: data from two prospective studies. Int J Food Sci Nutr. 2022; 73:513–521. PMID:
34779701.
Article
9. Alperet DJ, Rebello SA, Khoo EY, Tay Z, Seah SS, Tai BC, Emady-Azar S, Chou CJ, Darimont C, van Dam RM. A randomized placebo-controlled trial of the effect of coffee consumption on insulin sensitivity: Design and baseline characteristics of the Coffee for METabolic Health (COMETH) study. Contemp Clin Trials Commun. 2016; 4:105–117. PMID:
29736473.
Article
10. Ohnaka K, Ikeda M, Maki T, Okada T, Shimazoe T, Adachi M, Nomura M, Takayanagi R, Kono S. Effects of 16-week consumption of caffeinated and decaffeinated instant coffee on glucose metabolism in a randomized controlled trial. J Nutr Metab. 2012; 2012:207426. PMID:
23193459.
Article
11. Alperet DJ, Rebello SA, Khoo EY, Tay Z, Seah SS, Tai BC, Tai ES, Emady-Azar S, Chou CJ, Darimont C, et al. The effect of coffee consumption on insulin sensitivity and other biological risk factors for type 2 diabetes: a randomized placebo-controlled trial. Am J Clin Nutr. 2019; 111:448–458.
Article
12. Kempf K, Herder C, Erlund I, Kolb H, Martin S, Carstensen M, Koenig W, Sundvall J, Bidel S, Kuha S, et al. Effects of coffee consumption on subclinical inflammation and other risk factors for type 2 diabetes: a clinical trial. Am J Clin Nutr. 2010; 91:950–957. PMID:
20181814.
Article
13. Lawlor DA, Harbord RM, Sterne JA, Timpson N, Davey Smith G. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology. Stat Med. 2008; 27:1133–1163. PMID:
17886233.
Article
14. Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013; 37:658–665. PMID:
24114802.
Article
15. Qian Y, Ye D, Huang H, Wu DJ, Zhuang Y, Jiang X, Mao Y. Coffee consumption and risk of stroke: a Mendelian randomization study. Ann Neurol. 2020; 87:525–532. PMID:
32034791.
Article
16. Wang X, Jia J, Huang T. Coffee types and type 2 diabetes mellitus: large-scale cross-phenotype association study and Mendelian randomization analysis. Front Endocrinol (Lausanne). 2022; 13:818831. PMID:
35222278.
Article
17. Kim AN, Cho HJ, Youn J, Jin T, Kang M, Sung J, Lee JE. Coffee consumption, genetic polymorphisms, and the risk of type 2 diabetes mellitus: a pooled analysis of four prospective cohort studies. Int J Environ Res Public Health. 2020; 17:5379. PMID:
32722593.
Article
18. DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium. South Asian Type 2 Diabetes (SAT2D) Consortium. Mexican American Type 2 Diabetes (MAT2D) Consortium. Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium. Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet. 2014; 46:234–244. PMID:
24509480.
19. Hong KW, Kim HL, Oh B. Genome-wide association studies of the Korea Association REsource (KARE) Consortium. Genomics Inform. 2010; 8:101–102.
Article
20. Kim Y, Han BG. KoGES group. Cohort profile: the Korean Genome and Epidemiology Study (KoGES) Consortium. Int J Epidemiol. 2017; 46:e20. PMID:
27085081.
Article
21. Hong CB, Kim YJ, Moon S, Shin YA, Cho YS, Lee JY. KAREBrowser: SNP database of Korea Association REsource Project. BMB Rep. 2012; 45:47–50. PMID:
22281013.
Article
22. Jin T, Youn J, Kim AN, Kang M, Kim K, Sung J, Lee JE. Interactions of habitual coffee consumption by genetic polymorphisms with the risk of prediabetes and type 2 diabetes combined. Nutrients. 2020; 12:2228. PMID:
32722627.
Article
23. Younjhin A, Lee JE, Paik HY, Lee HK, Inho J. Development of a semi-quantitative food frequency questionnaire based on dietary data from the Korea National Health and Nutrition Examination Survey. Nutr Sci. 2003; 6:173–184.
24. American Diabetes Association Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2022. Diabetes Care. 2021; 45:S17–S38.
25. Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban HJ, Yoon D, Lee MH, Kim DJ, Park M, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet. 2009; 41:527–534. PMID:
19396169.
Article
26. Kim YJ, Go MJ, Hu C, Hong CB, Kim YK, Lee JY, Hwang JY, Oh JH, Kim DJ, Kim NH, et al. Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits. Nat Genet. 2011; 43:990–995. PMID:
21909109.
Article
27. Rabbee N, Speed TP. A genotype calling algorithm for affymetrix SNP arrays. Bioinformatics. 2006; 22:7–12. PMID:
16267090.
Article
28. Kim YK, Moon S, Hwang MY, Kim DJ, Oh JH, Kim YJ, Han BG, Lee JY, Kim BJ. Gene-based copy number variation study reveals a microdeletion at 12q24 that influences height in the Korean population. Genomics. 2013; 101:134–138. PMID:
23147675.
Article
29. Wang T, Huang T, Heianza Y, Sun D, Zheng Y, Ma W, Jensen MK, Kang JH, Wiggs JL, Pasquale LR, et al. Genetic susceptibility, change in physical activity, and long-term weight gain. Diabetes. 2017; 66:2704–2712. PMID:
28701334.
Article
30. Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016; 40:304–314. PMID:
27061298.
Article
31. Palmer TM, Sterne JA, Harbord RM, Lawlor DA, Sheehan NA, Meng S, Granell R, Smith GD, Didelez V. Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses. Am J Epidemiol. 2011; 173:1392–1403. PMID:
21555716.
Article
32. Burgess S, Dudbridge F, Thompson SG. Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods. Stat Med. 2016; 35:1880–1906. PMID:
26661904.
Article
33. Burgess S, Foley CN, Allara E, Staley JR, Howson JMM. A robust and efficient method for Mendelian randomization with hundreds of genetic variants. Nat Commun. 2020; 11:376. PMID:
31953392.
Article
34. Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015; 44:512–525. PMID:
26050253.
Article
35. Verbanck M, Chen CY, Neale B, Do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018; 50:693–698. PMID:
29686387.
Article
36. Lee JK, Kim K, Ahn Y, Yang M, Lee JE. Habitual coffee intake, genetic polymorphisms, and type 2 diabetes. Eur J Endocrinol. 2015; 172:595–601. PMID:
25755232.
Article
37. Shin S, Lee JE, Loftfield E, Shu XO, Abe SK, Rahman MS, Saito E, Islam MR, Tsugane S, Sawada N, et al. Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium. Int J Epidemiol. 2022; 51:626–640. PMID:
34468722.
Article
38. Ding M, Bhupathiraju SN, Chen M, van Dam RM, Hu FB. Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes: a systematic review and a dose-response meta-analysis. Diabetes Care. 2014; 37:569–586. PMID:
24459154.
Article
39. O’Keefe JH, Bhatti SK, Patil HR, DiNicolantonio JJ, Lucan SC, Lavie CJ. Effects of habitual coffee consumption on cardiometabolic disease, cardiovascular health, and all-cause mortality. J Am Coll Cardiol. 2013; 62:1043–1051. PMID:
23871889.
Article
40. Huxley R, Lee CM, Barzi F, Timmermeister L, Czernichow S, Perkovic V, Grobbee DE, Batty D, Woodward M. Coffee, decaffeinated coffee, and tea consumption in relation to incident type 2 diabetes mellitus: a systematic review with meta-analysis. Arch Intern Med. 2009; 169:2053–2063. PMID:
20008687.
Article
41. Carlström M, Larsson SC. Coffee consumption and reduced risk of developing type 2 diabetes: a systematic review with meta-analysis. Nutr Rev. 2018; 76:395–417. PMID:
29590460.
Article
42. Nordestgaard AT, Thomsen M, Nordestgaard BG. Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes: a Mendelian randomization study. Int J Epidemiol. 2015; 44:551–565. PMID:
26002927.
Article
43. Kwok MK, Leung GM, Schooling CM. Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer’s disease: a Mendelian randomization study. Sci Rep. 2016; 6:36500. PMID:
27845333.
Article
44. Nicolopoulos K, Mulugeta A, Zhou A, Hyppönen E. Association between habitual coffee consumption and multiple disease outcomes: a Mendelian randomisation phenome-wide association study in the UK Biobank. Clin Nutr. 2020; 39:3467–3476. PMID:
32284183.
Article
45. Zhou A, Hyppönen E. Long-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease: a prospective analysis of up to 347,077 individuals and 8368 cases. Am J Clin Nutr. 2019; 109:509–516. PMID:
30838377.
Article
46. Nordestgaard AT. Causal relationship from coffee consumption to diseases and mortality: a review of observational and Mendelian randomization studies including cardiometabolic diseases, cancer, gallstones and other diseases. Eur J Nutr. 2022; 61:573–587. PMID:
34319429.
Article
47. Coffee and Caffeine Genetics Consortium. Cornelis MC, Byrne EM, Esko T, Nalls MA, Ganna A, Paynter N, Monda KL, Amin N, Fischer K, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry. 2015; 20:647–656. PMID:
25288136.
48. Yuan S, Gill D, Giovannucci EL, Larsson SC. Obesity, type 2 diabetes, lifestyle factors, and risk of gallstone disease: a Mendelian randomization investigation. Clin Gastroenterol Hepatol. 2022; 20:e529–e537. PMID:
33418132.
Article
49. Kusumah J, Gonzalez de Mejia E. Coffee constituents with antiadipogenic and antidiabetic potentials: a narrative review. Food Chem Toxicol. 2022; 161:112821. PMID:
35032569.
Article
50. Cao H, Ou J, Chen L, Zhang Y, Szkudelski T, Delmas D, Daglia M, Xiao J. Dietary polyphenols and type 2 diabetes: Human Study and Clinical Trial. Crit Rev Food Sci Nutr. 2019; 59:3371–3379. PMID:
29993262.
Article
51. Boon EA, Croft KD, Shinde S, Hodgson JM, Ward NC. The acute effect of coffee on endothelial function and glucose metabolism following a glucose load in healthy human volunteers. Food Funct. 2017; 8:3366–3373. PMID:
28858362.
Article
52. Hang D, Zeleznik OA, He X, Guasch-Ferre M, Jiang X, Li J, Liang L, Eliassen AH, Clish CB, Chan AT, et al. Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women. Diabetes Care. 2020; 43:2588–2596. PMID:
32788283.
Article
53. Kosmalski M, Pękala-Wojciechowska A, Sut A, Pietras T, Luzak B. Dietary intake of polyphenols or polyunsaturated fatty acids and its relationship with metabolic and inflammatory state in patients with type 2 diabetes mellitus. Nutrients. 2022; 14:1083. PMID:
35268058.
Article
54. Micek A, Godos J, Cernigliaro A, Cincione RI, Buscemi S, Libra M, Galvano F, Grosso G. Polyphenol-rich and alcoholic beverages and metabolic status in adults living in Sicily, Southern Italy. Foods. 2021; 10:383. PMID:
33572478.
Article
55. Grabež M, Škrbić R, Stojiljković MP, Vučić V, Rudić Grujić V, Jakovljević V, Djuric DM, Suručić R, Šavikin K, Bigović D, et al. A prospective, randomized, double-blind, placebo-controlled trial of polyphenols on the outcomes of inflammatory factors and oxidative stress in patients with type 2 diabetes mellitus. Rev Cardiovasc Med. 2022; 23:57. PMID:
35229548.
Article
56. Rudrapal M, Khairnar SJ, Khan J, Dukhyil AB, Ansari MA, Alomary MN, Alshabrmi FM, Palai S, Deb PK, Devi R. Dietary polyphenols and their role in oxidative stress-induced human diseases: insights into protective effects, antioxidant potentials and mechanism(s) of action. Front Pharmacol. 2022; 13:806470. PMID:
35237163.
Article
57. Fernandes I, Oliveira J, Pinho A, Carvalho E. The role of nutraceutical containing polyphenols in diabetes prevention. Metabolites. 2022; 12:184. PMID:
35208257.
Article
58. Murase T, Misawa K, Minegishi Y, Aoki M, Ominami H, Suzuki Y, Shibuya Y, Hase T. Coffee polyphenols suppress diet-induced body fat accumulation by downregulating SREBP-1c and related molecules in C57BL/6J mice. Am J Physiol Endocrinol Metab. 2011; 300:E122–E133. PMID:
20943752.
Article
59. Park SY, Freedman ND, Haiman CA, Le Marchand L, Wilkens LR, Setiawan VW. Association of coffee consumption with total and cause-specific mortality among nonwhite populations. Ann Intern Med. 2017; 167:228–235. PMID:
28693036.
Article
60. Freedman ND, Park Y, Abnet CC, Hollenbeck AR, Sinha R. Association of coffee drinking with total and cause-specific mortality. N Engl J Med. 2012; 366:1891–1904. PMID:
22591295.
Article
61. Loftfield E, Freedman ND, Graubard BI, Guertin KA, Black A, Huang WY, Shebl FM, Mayne ST, Sinha R. Association of coffee consumption with overall and cause-specific mortality in a large US prospective cohort study. Am J Epidemiol. 2015; 182:1010–1022. PMID:
26614599.
Article