IDEAS home Printed from https://ideas.repec.org/p/eti/rdpsjp/19031.html
   My bibliography  Save this paper

An analysis of Blood Pressure and Medical Expenditures using the Medical Checkup and Receipt Dataset (Japanese)

Author

Listed:
  • NAWATA Kazumitsu
  • MATSUMOTO Akikuni
  • KIMURA Moriyo

Abstract

Hypertension is considered as one of the most important worldwide health risks and many studies have been done about hypertension. In November 2017, The American College of Cardiology (ACC), American Heart Association (AHA) and nine other organizations announced a new hypertension guideline (2017 ACC/AHA guideline). According to the 2017 ACC/AHA guideline, the criterion of hypertension has changed to 130/80 mmHg from the previous 140/90 mmHg. In this paper, we analyzed the relationship between blood pressure (BP) and medical expenditures. First, we made a database containing 175,123 medical checkups and 6,312,125 receipts from 88,211 individuals obtained from three health insurance societies. The sample period was fiscal year 2013 to fiscal year 2016. We then evaluated the distributions of BP and factors affecting BP using regression models. We found out that age, gender, height, BMI (body mass index) and some lifestyles affected BP. Next, we analyzed the relationship between BP and medical expenditures using power transformation Tobit models. Although there was a positive relationship between systolic BP (SBP) and medical expenditures found with a simple two-variable analysis, we observed negative effects of SBP on the medical expenditures in the power transformation Tobit models. When age, gender and BMI were included in the model, the estimate of SBP became negative, indicating a high importance of considering the relationships between covariates. Finally, we discussed the sample selection bias and time-varying variables in the Cox proportional hazard model as the problems of previous studies. The results of this study did not support the new 2017 ACC/AHA guideline, at least for SBP. A wide and careful range of reviews not only for heart diseases but also for other disease types should be done. New studies to verify the guideline will also be absolutely necessary.

Suggested Citation

  • NAWATA Kazumitsu & MATSUMOTO Akikuni & KIMURA Moriyo, 2019. "An analysis of Blood Pressure and Medical Expenditures using the Medical Checkup and Receipt Dataset (Japanese)," Discussion Papers (Japanese) 19031, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:rdpsjp:19031
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/19j031.pdf
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:rdpsjp:19031. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.