Big data applications for the prevention of non-communicable diseases

2017 Fiscal Year Final Research Report

• Project/Area Number: 16H06808
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Single-year Grants
• Research Field: Applied health science
• Research Institution: Niigata University
• Principal Investigator: Fujihara Kazuya 新潟大学, 医歯学総合研究科, 特任准教授 (10779341)
• Project Period (FY): 2016-08-26 – 2018-03-31
• Keywords: 医療ビッグデータ / データサイエンス / レセプト / 糖尿病 / 代謝異常 / 冠動脈疾患

Outline of Final Research Achievements

We analyzed data using a nationwide claim-based database in Japan consisting of approximately 3,000,000 people who belong to a health insurance provider. We evaluated the impact of prediabetes and diabetes on the development to CAD in Japanese men. Although diabetes was found to be associated with a 2-4 fold increased risk of CAD, our findings indicate that this consensus among diabetes specialists was limited to patients over 40 years of age. This study showed that diabetes confers about a 20-fold excess risk for CAD, independently from other conventional risk factors in men aged 31-40 years. Also, we showed that an metabolically unhealthy state can associate with CAD independently of obesity across all glucose tolerance stages.

Free Research Field

生活習慣病　医療ビッグデータ　レセプト