Skip to main content
Log in

Does nutritional guidance reduce cardiovascular events in patients with type 2 diabetes mellitus? A retrospective cohort study using a nationwide claims database

  • Original Article
  • Published:
Acta Diabetologica Aims and scope Submit manuscript

Abstract

Aim

To examine the effect of nutritional guidance (NG) provided by a registered dietitian under the direction of a physician on the development of subsequent cardiovascular events in patients with early-stage type 2 diabetes mellitus (T2DM).

Materials and methods

This retrospective cohort study used the JMDC claims database to explore patients aged 18 years or older who first met the diagnostic criteria for T2DM at a health checkup between January 2011 and January 2019. The last day of the observation period was set for 28 February, 2021. Exposure was defined as receiving NG within 180 days of diagnosis of T2DM. The primary outcome was a composite endpoint of coronary artery disease (CAD) and cerebrovascular disease, and the secondary outcomes were each event, and time to event was compared. The propensity score weighting method was used for adjusting the distribution of confounding variables. Cox regression was conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

Overall, 31,378 patients met the eligibility criteria at an annual health checkup. 9.6% received NG (n = 3013). Patients who attended ≥ 1 NG after diagnosis had significantly reduced risk of cardiovascular composite (adjusted HR 0.75, 95% CI 0.58–0.97) and cerebrovascular disease (adjusted HR 0.65, 95% CI 0.47–0.90) during approximately 3.3 years of follow-up. In contrast, no difference was observed for CAD.

Conclusions

Receiving NG in early-stage diabetes may reduce the incidence of cardiovascular events, especially cerebrovascular events.

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

References

  1. Saeedi P, Salpea P, Karuranga S, Petersohn I, Malanda B, Gregg EW, Unwin N, Wild SH, Williams R (2020) Mortality attributable to diabetes in 20–79 years old adults, 2019 estimates: results from the International Diabetes Federation Diabetes Atlas. Diabetes Res Clin Pract 162:108086. https://doi.org/10.1016/j.diabres.2020.108086

    Article  PubMed  Google Scholar 

  2. Mosenzon O, Alguwaihes A, Leon JLA et al (2021) CAPTURE: a multinational, cross-sectional study of cardiovascular disease prevalence in adults with type 2 diabetes across 13 countries. Cardiovasc Diabetol 20(1):154. https://doi.org/10.1186/s12933-021-01344-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Afshin A, Sur PJ, Fay KA (2019) Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 393(10184):1958–1972. https://doi.org/10.1016/S0140-6736(19)30041-8

    Article  Google Scholar 

  4. Ford CN, Weber MB, Staimez LR et al (2019) Dietary changes in a diabetes prevention intervention among people with prediabetes: the diabetes community lifestyle improvement program trial. Acta Diabetol 56(2):197–209. https://doi.org/10.1007/s00592-018-1249-1

    Article  CAS  PubMed  Google Scholar 

  5. Yamauchi T, Kamiya H, Utsunomiya K et al (2020) Medical nutrition therapy and dietary counseling for patients with diabetes-energy, carbohydrates, protein intake and dietary counseling. Diabetol Int 11(3):224–239. https://doi.org/10.1007/s13340-020-00437-7

    Article  PubMed  PubMed Central  Google Scholar 

  6. Dyson PA, Twenefour D, Breen C et al (2018) Diabetes UK evidence-based nutrition guidelines for the prevention and management of diabetes. Diabet Med 35(5):541–547. https://doi.org/10.1111/dme.13603

    Article  CAS  PubMed  Google Scholar 

  7. Lichtenstein AH, Appel LJ, Vadiveloo M et al (2021) Dietary guidance to improve cardiovascular health: a scientific statement from the American Heart Association. Circulation 144(23):e472–e487. https://doi.org/10.1161/CIR.0000000000001031

    Article  PubMed  Google Scholar 

  8. Haneda M, Noda M, Origasa H et al (2018) Japanese clinical practice guideline for diabetes 2016. J Diabetes Investig 9(3):657–697. https://doi.org/10.1111/jdi.12810

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rees K, Dyakova M, Wilson N, Ward K, Thorogood M, Brunner E (2013) Dietary advice for reducing cardiovascular risk. Cochrane Database Syst Rev 203(12):CD002128. https://doi.org/10.1002/14651858.CD002128.pub5

    Article  Google Scholar 

  10. Sialvera TE, Papadopoulou A, Efstathiou SP et al (2018) Structured advice provided by a dietitian increases adherence of consumers to diet and lifestyle changes and lowers blood low-density lipoprotein (LDL)-cholesterol: the increasing adherence of consumers to diet & lifestyle changes to lower (LDL) cholesterol (ACT) randomised controlled trial. J Hum Nutr Diet 31(2):197–208. https://doi.org/10.1111/jhn.12508

    Article  CAS  PubMed  Google Scholar 

  11. Look AHEAD Research Group, Wing RR, Bolin P et al (2013) Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med 369(2):145–154. https://doi.org/10.1056/NEJMoa1212914

    Article  CAS  Google Scholar 

  12. Ueki K, Sasako T, Okazaki Y et al (2017) Effect of an intensified multifactorial intervention on cardiovascular outcomes and mortality in type 2 diabetes (J-DOIT3): an open-label, randomised controlled trial. Lancet Diabetes Endocrinol 5(12):951–964. https://doi.org/10.1016/S2213-8587(17)30327-3

    Article  PubMed  Google Scholar 

  13. Li G, Zhang P, Wang J et al (2014) Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing Diabetes Prevention Study: a 23-year follow-up study. Lancet Diabetes Endocrinol 2(6):474–480. https://doi.org/10.1016/S2213-8587(14)70057-9

    Article  PubMed  Google Scholar 

  14. Nagai K, Tanaka T, Kodaira N, Kimura S, Takahashi Y, Nakayama T (2020) Data resource profile: JMDC claims databases sourced from Medical Institutions. J General Family Med 21(6):211–218. https://doi.org/10.1002/jgf2.367

    Article  Google Scholar 

  15. Mizuno K, Takeuchi M, Kishimoto Y, Kawakami K, Omori K (2019) Indications and outcomes of paediatric tracheotomy: a descriptive study using a Japanese claims database. BMJ Open 9(12):e031816. https://doi.org/10.1136/bmjopen-2019-031816

    Article  PubMed  PubMed Central  Google Scholar 

  16. Takeuchi M, Kawakami K (2018) Association between hemoglobin and hemoglobin A1c: a data-driven analysis of health checkup data in Japan. J Clin Med 7(12):539. https://doi.org/10.3390/jcm7120539

    Article  PubMed  PubMed Central  Google Scholar 

  17. Araki E, Goto A, Kondo T, Noda M, Noto H, Origasa H, Osawa H, Taguchi A, Tanizawa Y, Tobe K, Yoshioka N (2020) Japanese clinical practice guideline for diabetes 2019. Diabetol Int 11(3):165–223. https://doi.org/10.1007/s13340-020-00439-5

    Article  PubMed  PubMed Central  Google Scholar 

  18. Fujihara K, Yamada-Harada M, Matsubayashi Y et al (2021) Accuracy of Japanese claims data in identifying diabetes-related complications. Pharmacoepidemiol Drug Saf 30(5):594–601. https://doi.org/10.1002/pds.5213

    Article  PubMed  Google Scholar 

  19. Onozawa S, Kimura T, Ito Y, Akizawa T (2022) Estimating the causal effect of transient anemia status on renal and cardiovascular outcomes in community-dwelling patients in Japan at the beginning of impaired renal function using marginal structural modeling. Clin Exp Nephrol 26(2):178–189. https://doi.org/10.1007/s10157-021-02137-1

    Article  CAS  PubMed  Google Scholar 

  20. Nishimura R, Takeshima T, Iwasaki K, Aoi S (2022) Comparison of the effects on cardiovascular events between use of metformin and dipeptidyl peptidase-4 inhibitors as the first-line hypoglycaemic agents in Japanese patients with type 2 diabetes mellitus: a claims database analysis. BMJ Open 12(3):e045966. https://doi.org/10.1136/bmjopen-2020-045966

    Article  PubMed  PubMed Central  Google Scholar 

  21. Austin PC, Stuart EA (2015) Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med 34(28):3661–3679. https://doi.org/10.1002/sim.6607

    Article  PubMed  PubMed Central  Google Scholar 

  22. Austin PC (2014) The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Stat Med 33(7):1242–1258. https://doi.org/10.1002/sim.5984

    Article  PubMed  Google Scholar 

  23. Austin PC (2016) Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis. Stat Med 35(30):5642–5655. https://doi.org/10.1002/sim.7084

    Article  PubMed  PubMed Central  Google Scholar 

  24. Forouhi NG, Misra A, Mohan V, Taylor R, Yancy W (2018) Dietary and nutritional approaches for prevention and management of type 2 diabetes. BMJ 361(1):k2234. https://doi.org/10.1136/bmj.k2234

    Article  PubMed  PubMed Central  Google Scholar 

  25. Mitchell LJ, Ball LE, Ross LJ, Barnes KA, Williams LT (2017) Effectiveness of dietetic consultations in primary health care: a systematic review of randomized controlled trials. J Acad Nutr Diet 117(12):1941–1962. https://doi.org/10.1016/J.JAND.2017.06.364

    Article  PubMed  Google Scholar 

  26. Okada A, Ono S, Yamaguchi S et al (2021) Association between nutritional guidance or ophthalmological examination and discontinuation of physician visits in patients with newly diagnosed diabetes: A retrospective cohort study using a nationwide database. J Diabetes Investig Published online 12(9):1619–1631. https://doi.org/10.1111/jdi.13510

    Article  Google Scholar 

  27. Franz MJ, Boucher JL, Evert AB (2014) Evidence-based diabetes nutrition therapy recommendations are effective: the key is individualization. Diabetes Metab Syndr Obes 7:65–72. https://doi.org/10.2147/DMSO.S45140

    Article  PubMed  PubMed Central  Google Scholar 

  28. Su D, McBride C, Zhou J, Kelley MS (2016) Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. J Telemed Telecare 22(6):333–347. https://doi.org/10.1177/1357633X15608297

    Article  PubMed  Google Scholar 

  29. Park SK, Jung JY, Oh CM et al (2021) Components of metabolic syndrome and their relation to the risk of incident cerebral infarction. Endocr J 68(3):253–259. https://doi.org/10.1507/endocrj.EJ20-0486

    Article  CAS  PubMed  Google Scholar 

  30. Forouhi NG, Sattar N (2006) CVD risk factors and ethnicity—a homogeneous relationship? Atheroscler Suppl 7(1):11–19. https://doi.org/10.1016/j.atherosclerosissup.2006.01.003

    Article  PubMed  Google Scholar 

  31. Lean MEJ, Leslie WS, Barnes AC et al (2019) Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol 7(5):344–355. https://doi.org/10.1016/S2213-8587(19)30068-3

    Article  PubMed  Google Scholar 

  32. Kawamura T, Sato I, Tamura H, Nakao YM, Kawakami K (2018) Influence of comorbidities on the implementation of the fundus examination in patients with newly diagnosed type 2 diabetes. Jpn J Ophthalmol 62(1):68–76. https://doi.org/10.1007/s10384-017-0551-8

    Article  PubMed  Google Scholar 

  33. Lee YM, Kim RB, Lee HJ et al (2018) Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study. Health Qual Life Outcomes 16(1):100. https://doi.org/10.1186/s12955-018-0921-z

    Article  PubMed  PubMed Central  Google Scholar 

  34. Chen SM, Creedy D, Lin HS, Wollin J (2012) Effects of motivational interviewing intervention on self-management, psychological and glycemic outcomes in type 2 diabetes: a randomized controlled trial. Int J Nurs Stud 49(6):637–644. https://doi.org/10.1016/j.ijnurstu.2011.11.011

    Article  PubMed  Google Scholar 

  35. Tseng HM, Liao SF, Wen YP, Chuang YJ (2017) Stages of change concept of the transtheoretical model for healthy eating links health literacy and diabetes knowledge to glycemic control in people with type 2 diabetes. Prim Care Diabetes 11(1):29–36. https://doi.org/10.1016/j.pcd.2016.08.005

    Article  PubMed  Google Scholar 

Download references

Acknowledgement

We thank JMDC Inc. (Tokyo, Japan) for providing claim data for analysis. We also thank the DO of DMC (http://www.dmed.co.jp), Dr. Guy Harris, and Editage (http://www.editage.jp) for their help in writing the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sachiko Tanaka-Mizuno.

Ethics declarations

Conflict of interest

Koji Kawakami receives concurrent income from JMDC, Inc. and has received research funds from Eisai Co., Ltd., Kyowa Kirin Co., Ltd., Sumitomo Pharma Co., Ltd., Mitsubishi Corporation, and Real-World Data Co., Ltd.; consulting fees from LEBER Inc., JMDC Inc., Shin Nippon Biomedical Laboratories Ltd., and Advanced Medical Care Inc.; executive compensation from Cancer Intelligence Care Systems, Inc.; and honoraria from Mitsubishi Corporation, Pharma Business Academy, and Toppan Inc.

Ethical approval

This study was approved by the Ethics Committee of Kyoto University Graduate School and Faculty of Medicine (R3101). Since all data were anonymized, informed consent from the patients was not required. All procedures were conducted according to the Declaration of Helsinki. In addition, all procedures performed in studies involving human participants were following the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Additional information

Managed By Massimo Federici.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 23 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakahata, M., Tanaka-Mizuno, S., Yamaguchi, F. et al. Does nutritional guidance reduce cardiovascular events in patients with type 2 diabetes mellitus? A retrospective cohort study using a nationwide claims database. Acta Diabetol 60, 1541–1549 (2023). https://doi.org/10.1007/s00592-023-02147-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00592-023-02147-3

Keywords

Navigation