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2018 Fiscal Year Final Research Report

Development of a prediction model for the individualization of preventive health and administrative services by foresee the senior stage from the presenior stage

Research Project

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Project/Area Number 26520105
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section特設分野
Research Field Neo-Gerontology
Research InstitutionKyoto University

Principal Investigator

Kawamura Takashi  京都大学, 環境安全保健機構, 教授 (10252230)

Co-Investigator(Kenkyū-buntansha) 若井 建志  名古屋大学, 医学系研究科, 教授 (50270989)
玉腰 暁子  北海道大学, 医学研究院, 教授 (90236737)
Research Collaborator Okabayashi Satoe  
Project Period (FY) 2014-07-18 – 2019-03-31
Keywords予測モデル / 高齢者 / 死亡 / 要介護状態 / 独身状態
Outline of Final Research Achievements

In an suburban city in Japan, we had provided the integrated health checkups for the inhabitants aged 64 years, and obtained their outcomes, i.e., death and dependent status, following for 11 years. After picking up the potential predictors by simple logistic regression, we established the prediction modes selecting the predictors by multivariable logistic regression. In this analysis, we elucidated that unmarried status was a strong predictor. The discrimination performance was 0.763 for females and 0.735 for males. The internal validity tested by the bootstrap method was rather well.

Free Research Field

Epidemiology

Academic Significance and Societal Importance of the Research Achievements

本研究により、高齢期の入口に立つ個々の住民に対して医療や行政支援の必要性を見積もり、高齢者本人やその家族にとっての将来設計、また政策立案者、保健医療行政担当者、臨床医らの医療や支援の立案に役立つことが期待される。

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Published: 2020-03-30  

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