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Keiji Nakamura

Biographic Data

ID7019134
NAMEKeiji Nakamura
GIVEN NAMESKeiji
FAMILY NAMENakamura
SIGNATURENAKAMURA K
AFFILIATIONSTokyo City University
ORCID0009-0009-3807-3567
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan

    Open Access•Shiori Tanaka, Daisuke Yoneoka et al.•ARTICLE•BMC Public Health•2021

    Our analysis indicates that increased vegetable consumption would have a significant reduction in the burdens of CVDs, cancer and DKDs in Japan. By estimating the disease burden attributable to low vegetable intake under different scenarios of future vegetable consumption, our study can inform the design of targeted interventions for public health challenges

  • Prediction of disability-adjusted life years for diseases due to low fruit intake in 2017–2040 in Japan

    Open Access•Daisuke Yoneoka, Shuhei Nomura et al.•ARTICLE•Public Health Nutrition•2021

    Objective: The current study aimed to predict disability-adjusted life years (DALY) rate in Japan through 2040 with plausible future scenarios of fruit intake for neoplasms, cardiovascular diseases (CVD) and diabetes and kidney diseases (DKD). Design: Data from National Health and Nutrition Surveys and the Global Burden of Diseases study in 2017 were used. We developed an autoregressive integrated moving average model with four future scenarios. …

  • Forecasting disability-adjusted life years for chronic diseases

    Open Access•Shuhei Nomura, Daisuke Yoneoka et al.•ARTICLE•BMC Public Health•2020

    The gap between scenarios provides some quantification of the range of policy impacts on future trajectories of salt intake. Even though we do not yet know the policy mix used to achieve these scenarios, the result that there can be differences between scenarios means that policies today can have a significant impact on the future DALYs

No prominent works on this page.

  • Forecasting disability-adjusted life years for chronic diseases

    Open Access•Shuhei Nomura, Daisuke Yoneoka et al.•ARTICLE•BMC Public Health•2020

    The gap between scenarios provides some quantification of the range of policy impacts on future trajectories of salt intake. Even though we do not yet know the policy mix used to achieve these scenarios, the result that there can be differences between scenarios means that policies today can have a significant impact on the future DALYs

  • Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan

    Open Access•Shiori Tanaka, Daisuke Yoneoka et al.•ARTICLE•BMC Public Health•2021

    Our analysis indicates that increased vegetable consumption would have a significant reduction in the burdens of CVDs, cancer and DKDs in Japan. By estimating the disease burden attributable to low vegetable intake under different scenarios of future vegetable consumption, our study can inform the design of targeted interventions for public health challenges

  • Prediction of disability-adjusted life years for diseases due to low fruit intake in 2017–2040 in Japan

    Open Access•Daisuke Yoneoka, Shuhei Nomura et al.•ARTICLE•Public Health Nutrition•2021

    Objective: The current study aimed to predict disability-adjusted life years (DALY) rate in Japan through 2040 with plausible future scenarios of fruit intake for neoplasms, cardiovascular diseases (CVD) and diabetes and kidney diseases (DKD). Design: Data from National Health and Nutrition Surveys and the Global Burden of Diseases study in 2017 were used. We developed an autoregressive integrated moving average model with four future scenarios. …

Demography (3 works) · Demography (3 works) · Environmental health (3 works) · Medicine (3 works) · Nutritional Studies and Diet (3 works) · Population (3 works) · Biostatistics (2 works) · Burden of disease (2 works) · Disability-adjusted life year (2 works) · Disease (2 works)

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