Skip to main content
Log in

Dietary glycemic index, glycemic load and mortality: Japan Public Health Center-based prospective study

  • Original Contribution
  • Published:
European Journal of Nutrition Aims and scope Submit manuscript

Abstract

Purpose

Long-term associations of dietary glycemic index (GI) and glycemic load (GL) with mortality outcomes remain unclear.

Methods

The present analysis included 72,783 participants of the Japan Public Health Center-based Prospective Study. Participants who responded to the 5-year follow-up questionnaire in 1995–1999 were followed-up until December 2015. We estimated the risk of total and cause-specific mortality associated with GI and GL using Cox proportional hazards regression models.

Results

During 1,244,553 person years of follow-up, 7535 men and 4913 women died. GI was positively associated with all-cause mortality. As compared with the lowest quartile, the multivariable HR for those who had the highest quartile of GI was 1.14 (95% CI 1.08–1.20). The HRs for death comparing the highest with the lowest quartile were 1.28 (95% CI 1.14–1.42) for circulatory system diseases, 1.33 (95% CI 1.14–1.55) for heart disease, 1.32 (95% CI 1.11–1.57) for cerebrovascular disease, and 1.45 (95% CI 1.18–1.78) for respiratory diseases. GI was not associated with mortality risks of cancer and digestive diseases. GL showed a null association with all-cause mortality (highest vs lowest quartile; HR 1.04; 95% CI 0.96–1.12). However, among those who had the highest quartile of GL, the HRs for death from circulatory system diseases was 1.24 (95% CI 1.05–1.46), cerebrovascular disease was 1.34 (95% CI 1.03–1.74), and respiratory diseases was 1.35 (95% CI 1.00–1.82), as compared with the lowest quartile.

Conclusion

In this large prospective cohort study, dietary GI and GL were associated with mortality risks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Availability of data and materials

For information on how to submit an application for gaining access to JPHC data and/or biospecimens, please follow the instructions at http://epi.ncc.go.jp/en/jphc/805/8155.html.

Abbreviations

BMES:

Blue Mountains Eye study

CIs:

Confidence intervals

FFQ:

Food Frequency Questionnaire

GI:

Glycemic index

GL:

Glycemic load

HbA1c:

Glycated hemoglobin

HRs:

Hazard ratios

JPHC study:

Japan Public Health Center-based Prospective Study

PHCs:

Public health centers

PREDIMED study:

PREvención con DIeta MEDiterránea

References

  1. GBD (2017) Diet Collaborators (2019) Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 393:1958–1972

    Google Scholar 

  2. Greenwood DC, Threapleton DE, Evans CE, Cleghorn CL, Nykjaer C, Woodhead C et al (2013) Glycemic index, glycemic load, carbohydrates, and type 2 diabetes: systematic review and dose–response meta-analysis of prospective studies. Diabetes Care 36:4166–4171

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Ma XY, Liu JP, Song ZY (2002) Glycemic load, glycemic index and risk of cardiovascular diseases: meta-analyses of prospective studies. Atherosclerosis 223(2):491–496

    Article  Google Scholar 

  4. Brand-Miller JC, Holt SH, Pawlak DB, McMillan J (2002) Glycemic index and obesity. Am J Clin Nutr 76:281S-S285

    Article  PubMed  CAS  Google Scholar 

  5. Oskarsson V, Sadr-Azodi O, Orsini N, Andrén-Sandberg Å, Wolk A (2014) High Dietary glycemic load increases the risk of non-gallstone-related acute pancreatitis: a prospective cohort study. Clin Gastroenterol Hepatol 12:676–682

    Article  PubMed  CAS  Google Scholar 

  6. Turati F, Galeone C, Augustin LS, La Vecchia C (2019) Glycemic index, glycemic load and cancer risk: an updated meta-analysis. Nutrients 11:2342

    Article  PubMed Central  CAS  Google Scholar 

  7. Livesey G, Livesey H (2019) Coronary heart disease and dietary carbohydrate, glycemic index, and glycemic load: dose-response meta-analyses of prospective cohort studies. Mayo Clin Proc Innov Qual Outcomes 3:52–69

    Article  PubMed  PubMed Central  Google Scholar 

  8. Livesey G, Taylor R, Livesey HF, Buyken AE, Jenkins DJ, Augustin LS et al (2019) Dietary glycemic index and load and the risk of type 2 diabetes: a systematic review and updated meta-analyses of prospective cohort studies. Nutrients 11:1280

    Article  PubMed Central  CAS  Google Scholar 

  9. Livesey G, Taylor R, Livesey HF, Buyken AE, Jenkins DJ, Augustin LS et al (2019) Dietary glycemic index and load and the risk of type 2 diabetes: assessment of causal relations. Nutrients 11:1436

    Article  PubMed Central  CAS  Google Scholar 

  10. Jenkins DJ, Wolever TM, Taylor RH, Barker H, Fielden H, Baldwin JM et al (1981) Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr 34:362–366

    Article  PubMed  CAS  Google Scholar 

  11. Salmerón J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, Jenkins DJ et al (1997) Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care 20:545–550

    Article  PubMed  Google Scholar 

  12. Sieri S, Agnoli C, Grioni S, Weiderpass E, Mattiello A, Sluijs I et al (2020) Glycemic index, glycemic load, and risk of coronary heart disease: a pan-European cohort study. Am J Clin Nutr 112:631–643

    Article  PubMed  PubMed Central  Google Scholar 

  13. Sieri S, Krogh V, Berrino F, Evangelista A, Agnoli C, Brighenti F et al (2010) Dietary glycemic load and index and risk of coronary heart disease in a large italian cohort: the EPICOR study. JAMA Intern Med 170:640–647

    Article  CAS  Google Scholar 

  14. Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P et al (2010) The metabolic syndrome and cardiovascular risk: a systematic review and meta-analysis. J Am Coll Cardiol 56:1113–1132

    Article  PubMed  Google Scholar 

  15. Zafar MI, Mills KE, Zheng J, Regmi A, Hu SQ, Gou L et al (2019) Low-glycemic index diets as an intervention for diabetes: a systematic review and meta-analysis. Am J Clin Nutr 110:891–902

    Article  PubMed  Google Scholar 

  16. Du H, van der A DL, van Bakel MM, van der Kallen CJ, Blaak EE, van Greevenbroek MM et al (2008) Glycemic index and glycemic load in relation to food and nutrient intake and metabolic risk factors in a Dutch population. Am J Clin Nutr 87:655–61

    Article  PubMed  CAS  Google Scholar 

  17. Buyken AE, Goletzke J, Joslowski G, Felbick A, Cheng G, Herder C et al (2014) Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies. Am J Clin Nutr 99:813–833

    Article  PubMed  CAS  Google Scholar 

  18. Shahdadian F, Saneei P, Milajerdi A, Esmaillzadeh A (2019) Dietary glycemic index, glycemic load, and risk of mortality from all causes and cardiovascular diseases: a systematic review and dose-response meta-analysis of prospective cohort studies. Am J Clin Nutr 110:921–937

    Article  PubMed  Google Scholar 

  19. Castro-Quezada I, Sánchez-Villegas A, Estruch R, Salas-Salvadó J, Corella D, Schröder H et al (2014) A high dietary glycemic index increases total mortality in a Mediterranean population at high cardiovascular risk. PLoS ONE 9:e107968

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gopinath B, Flood VM, Kifley A, Louie JC, Mitchell P (2016) Association between carbohydrate nutrition and successful aging over 10 years. J Gerontol A Biol Sci Med Sci 71:1335–1340

    Article  PubMed  Google Scholar 

  21. Sieri S, Agnoli C, Pala V, Grioni S, Brighenti F, Pellegrini N et al (2017) Dietary glycemic index, glycemic load, and cancer risk: results from the EPIC-Italy study. Sci Rep 7:1–8

    Article  Google Scholar 

  22. Nagata C, Wada K, Tsuji M, Kawachi T, Nakamura K (2014) Dietary glycaemic index and glycaemic load in relation to all-cause and cause-specific mortality in a Japanese community: the Takayama study. Br J Nutr 112:2010–2017

    Article  PubMed  CAS  Google Scholar 

  23. Levitan EB, Mittleman MA, Hakanssin N, Wolk A (2007) Dietary glycemic index, dietary glycemic load and cardiovascular disease in middle-aged and older Swedish men. Am J Clin Nutr 85:1521–1526

    Article  PubMed  CAS  Google Scholar 

  24. Ministry of Health, Labour and Welfare, Japan, Cancer Control and Health Promotion Division, Health Service Bureau (2013) The National Health and Nutrition Survey in Japan, 2011 (in Japanese). Ministry of Health, Labour and Welfare, Tokyo. https://www.mhlw.go.jp/english/. Accessed 15 Aug 2020.

  25. Tsugane S (2020) Why has Japan become the world’s most long-lived country: insights from a food and nutrition perspective. Eur J Clin Nutr 75:921–928

    Article  PubMed  PubMed Central  Google Scholar 

  26. World Health Organization. Global Health Estimates 2016: deaths by cause, age, sex, by country and by region, 2000–2016. https://www.who.int/healthinfo/global_burden_disease/estimates/en/. Accessed 1 Aug 2020.

  27. Tsugane S, Sawada N (2014) The JPHC study: design and some findings on the typical Japanese diet. Jpn J Clin Oncol 44:777–782

    Article  PubMed  Google Scholar 

  28. Sasaki S, Kobayashi M, Ishihara J, Tsugane S (2003) Self-administered food frequency questionnaire used in the 5-year follow-up survey of the JPHC Study: questionnaire structure, computation algorithms, and area-based mean intake. J Epidemiol 13(Suppl 1):13–22

    Article  Google Scholar 

  29. Ishihara J, Inoue M, Kobayashi M, Tanaka S, Yamamoto S, Iso H et al (2006) Impact of the revision of a nutrient database on the validity of a self-administered food frequency questionnaire (FFQ). J Epidemiol 16:107–116

    Article  PubMed  PubMed Central  Google Scholar 

  30. Oba S, Nanri A, Kurotani K, Goto A, Kato M, Mizoue T et al (2013) Dietary glycemic index, glycemic load and incidence of type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study. Nutr J 12:165

    Article  PubMed  PubMed Central  Google Scholar 

  31. Abe SK, Inoue M, Sawada N, Ishihara J, Iwasaki M, Yamaji T et al (2016) Glycemic index and glycemic load and risk of colorectal cancer: a population-based cohort study (JPHC Study). Cancer Causes Control 27:583–593

    Article  PubMed  Google Scholar 

  32. Atkinson FS, Foster-Powell K, Brand-Miller JC (2008) International tables of glycemic index and glycemic load values: 2008. Diabetes Care 31:2281–2283

    Article  PubMed  PubMed Central  Google Scholar 

  33. Murakami K, Sasaki S, Takahashi Y, Okubo H, Hosoi Y, Horiguchi H et al (2006) Dietary glycemic index and load in relation to metabolic risk factors in Japanese female farmers with traditional dietary habits. Am J Clin Nutr 83:1161–1169

    Article  PubMed  CAS  Google Scholar 

  34. Murakami Y, Hozawa A, Okamura T, Ueshima H (2008) Evidence for Cardiovascular Prevention From Observational Cohorts in Japan Research Group (EPOCH-JAPAN). Relation of blood pressure and all-cause mortality in 180 000 Japanese participants: pooled analysis of 13 cohort studies. Hypertension 51:1483–1491

    Article  PubMed  CAS  Google Scholar 

  35. Tsugane S, Sasaki S, Y Tsubono for the JPHC Study Group (2002) Under-and overweight impact on mortality among middle-aged Japanese men and women: a 10-y follow-up of JPHC study cohort I. Int J Obes 26:529–537

    Article  Google Scholar 

  36. Kikuchi H, Inoue S, Lee IM, Odagiri Y, Sawada N, Inoue M et al (2018) Impact of moderate-intensity and vigorous-intensity physical activity on mortality. Med Sci Sports Exerc 50:715–721

    Article  PubMed  Google Scholar 

  37. Hara M, Sobue T, Sasaki S, Tsugane S, JPHC Study Group (2002) Smoking and risk of premature death among middle-aged Japanese: ten-year follow-up of the Japan Public Health Center-based prospective study on cancer and cardiovascular diseases (JPHC Study) cohort I. Jpn J Cancer Res 93:6–14

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Marugame T, Yamamoto S, Yoshimi I, Sobue T, Inoue M, Tsugane S (2007) Patterns of alcohol drinking and all-cause mortality: results from a large-scale population-based cohort study in Japan. Am J Epidemiol 165:1039–1046

    Article  PubMed  Google Scholar 

  39. Zheng Y, Li Y, Satija A, Pan A, Sotos-Prieto M, Rimm E et al (2019) Association of changes in red meat consumption with total and cause specific mortality among US women and men: two prospective cohort studies. BMJ 365:I2110

    Article  Google Scholar 

  40. Zhao LG, Sun JW, Yang Y, Ma X, Wang YY, Xiang YB (2016) Fish consumption and all-cause mortality: a meta-analysis of cohort studies. Eur J Clin Nutr 70:155–161

    Article  PubMed  CAS  Google Scholar 

  41. Willett W, Stampfer MJ (1986) Total energy intake: implications for epidemiologic analyses. Am J Epidemiol 124:17–27

    Article  PubMed  CAS  Google Scholar 

  42. Vitinghoff E, Glidden DV, Shiboski ST, McCulloch CE (2012) Regression methods in biostatistics. Linear, logistic, survival and repeated measure models, 2nd edn. Springer, New York

    Book  Google Scholar 

  43. Knopp RH, Paramsothy P, Retzlaff BM, Fish B, Walden C, Dowdy A et al (2006) Sex differences in lipoprotein metabolism and dietary response: basis in hormonal differences and implications for cardiovascular disease. Curr Cardiol Rep 8:452–459

    Article  PubMed  Google Scholar 

  44. Hokanson JE (1998) Hypertriglyceridemia as a cardiovascular risk factor. Am J Cardiol 81:7B-12B

    Article  PubMed  Google Scholar 

  45. Dong JY, Zhang L, Zhang YH, Qin LQ (2011) Dietary glycaemic index and glycaemic load in relation to the risk of type 2 diabetes: a meta-analysis of prospective cohort studies. Br J Nutr 106:1649–1654

    Article  PubMed  CAS  Google Scholar 

  46. Grau K, Tetens I, Bjørnsbo KS, Heitman BL (2011) Overall glycaemic index and glycaemic load of habitual diet and risk of heart disease. Public Health Nutr 14:109–118

    Article  PubMed  Google Scholar 

  47. Turati F, Dilis V, Rossi M, Lagiou P, Benetou V, Katsoulis M et al (2015) Glycemic load and coronary heart disease in a Mediterranean population: the EPIC Greek cohort study. Nutr Metab Cardiovasc Dis 25:336–342

    Article  PubMed  CAS  Google Scholar 

  48. Appel LJ, Sacks FM, Carey VJ, Obarzanek E, Swain JF, Miller ER et al (2005) Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA 294:2455–2464

    Article  PubMed  CAS  Google Scholar 

  49. Eshak ES, Iso H, Yamagishi K, Kokubo Y, Saito I, Yatsuya H et al (2014) Rice consumption is not associated with risk of cardiovascular disease morbidity or mortality in Japanese men and women: a large population-based, prospective cohort study. Am J Clin Nutr 100:199–207

    Article  PubMed  CAS  Google Scholar 

  50. Walter RE, Beiser A, Givelber RJ, O’Connor GT, Gottlieb DJ (2003) Association between glycemic state and lung function: the Framingham Heart Study. Am J Respir Crit Care Med 167:911–916

    Article  PubMed  Google Scholar 

  51. Baker EH, Janaway CH, Philips BJ, Brennan AL, Baines DL, Wood DM et al (2006) Hyperglycaemia is associated with poor outcomes in patients admitted to hospital with acute exacerbations of chronic obstructive pulmonary disease. Thorax 61:284–289

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  52. Baker EH, Baines DL (2018) Airway glucose homeostasis: a new target in the prevention and treatment of pulmonary infection. Chest 153:507–514

    Article  PubMed  Google Scholar 

  53. Marks GC, Hughes MC, Van Der Pols JC (2006) Relative validity of food intake estimates using a food frequency questionnaire is associated with sex, age, and other personal characteristics. J Nutr 136:459–465

    Article  PubMed  CAS  Google Scholar 

  54. Marks GC, Hughes MC, van der Pols JC (2006) The effect of personal characteristics on the validity of nutrient intake estimates using a food-frequency questionnaire. Public Health Nutr 9:394–402

    Article  PubMed  Google Scholar 

  55. Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S et al (2001) Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America’s Table Study. Am J Epidemiol 154:1089–1099

    Article  PubMed  CAS  Google Scholar 

  56. Cade JE, Burley VJ, Warm DL, Thompson RL, Margetts BM (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 17:5–22

    Article  PubMed  CAS  Google Scholar 

  57. Inomaki R, Murakami K, Livingstone MB, Okubo H, Kobayashi S, Suga H et al (2017) A Japanese diet with low glycaemic index and glycaemic load is associated with both favourable and unfavourable aspects of dietary intake patterns in three generations of women. Public Health Nutr 20:649–659

    Article  PubMed  Google Scholar 

  58. Hasan SM, Saulam J, Kanda K, Hirao T (2019) The dynamics and temporal trends of energy and macronutrients intake in the diet in Japan: A Joinpoint Regression Analysis of the National Nutrition Survey Data from 1946 to 2015 (P18–054-19). Curr Dev Nutr 3(Suppl 1):nzz039-P18-054–19

    Article  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Rieko Kanehara and Dr. Utako Murai of the Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan for her advice on the nutritional aspects of the study. Research group members are listed at the following site (as of Oct, 2020): https://epi.ncc.go.jp/en/jphc/781/8510.html.

Funding

This study was supported by the National Cancer Centre Research and Development Fund (since 2011), and a Grant in Aid for Cancer Research from the Ministry of Health, Labour and Welfare of Japan (from 1989 to 2010).

Author information

Authors and Affiliations

Authors

Consortia

Contributions

MI and H-LH designed the study. H-LH performed the analysis and wrote the manuscript. H-LH, SKA, NS, RT, JI, MI, TY, HI, TM, MN, MH, MI, and ST revised the manuscript critically for important intellectual content. All authors approved the final version before submission.

Corresponding author

Correspondence to Manami Inoue.

Ethics declarations

Conflict of interest

All authors declare no competing interests.

Ethics approval and consent to participate

The study was conducted in compliance with the provisions of the Declaration of Helsinki. The study protocol was approved by the Institutional Review Board of the National Cancer Center, Japan. The participants were informed of the study objectives, and those who completed the survey questionnaire were regarded as consenting to participation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, HL., Abe, S.K., Sawada, N. et al. Dietary glycemic index, glycemic load and mortality: Japan Public Health Center-based prospective study . Eur J Nutr 60, 4607–4620 (2021). https://doi.org/10.1007/s00394-021-02621-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00394-021-02621-0

Keywords

Navigation