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

BACKGROUND: Low vegetable intake is one of the key dietary risk factors known to be associated with a range of health problems, including cardiovascular diseases (CVDs), cancer, and diabetes and kidney diseases (DKDs). Using data from Japan’s National Health and Nutrition Surveys and the Global Burd...

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Autores principales: Tanaka, Shiori, Yoneoka, Daisuke, Ishizuka, Aya, Ueda, Peter, Nakamura, Keiji, Uneyama, Hisayuki, Hayashi, Naoki, Shibuya, Kenji, Nomura, Shuhei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061031/
https://www.ncbi.nlm.nih.gov/pubmed/33882887
http://dx.doi.org/10.1186/s12889-021-10772-2
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author Tanaka, Shiori
Yoneoka, Daisuke
Ishizuka, Aya
Ueda, Peter
Nakamura, Keiji
Uneyama, Hisayuki
Hayashi, Naoki
Shibuya, Kenji
Nomura, Shuhei
author_facet Tanaka, Shiori
Yoneoka, Daisuke
Ishizuka, Aya
Ueda, Peter
Nakamura, Keiji
Uneyama, Hisayuki
Hayashi, Naoki
Shibuya, Kenji
Nomura, Shuhei
author_sort Tanaka, Shiori
collection PubMed
description BACKGROUND: Low vegetable intake is one of the key dietary risk factors known to be associated with a range of health problems, including cardiovascular diseases (CVDs), cancer, and diabetes and kidney diseases (DKDs). Using data from Japan’s National Health and Nutrition Surveys and the Global Burden of Diseases study in 2017, this study aimed to forecast the impact of change in vegetable intake on disability-adjusted life years (DALYs) between 2017 and 2040 for three diseases. METHODS: We generated a three-component model of cause-specific DALYs, including changes in major behavioural and metabolic risk predictors, the socio-demographic index and an autoregressive integrated moving average model to project future DALY rates for 2017–2040 using the data between 1990 and 2016. Data on Vegetable consumption and risk predictors, and DALY rate were obtained from Japan’s National Health and Nutrition Surveys and the Global Burden of Diseases Study in 2017. We also modelled three scenarios of better, moderate and worse cases to evaluate the impact of change in vegetable consumption on the DALY rates for three diseases (CVDs, cancer, and DKDs). RESULTS: Projected mean vegetable intake in the total population showed a decreasing trend through 2040 to 237.7 g/day. A significant difference between the reference scenario and the better case scenario was observed with un-overlapped 95% prediction intervals of DALY rates in females aged 20–49 years (− 8.0%) for CVDs, the total population for cancer (− 5.6%), and in males (− 8.2%) and females (− 13.7%) for DKDs. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10772-2.
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spelling pubmed-80610312021-04-22 Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan Tanaka, Shiori Yoneoka, Daisuke Ishizuka, Aya Ueda, Peter Nakamura, Keiji Uneyama, Hisayuki Hayashi, Naoki Shibuya, Kenji Nomura, Shuhei BMC Public Health Research Article BACKGROUND: Low vegetable intake is one of the key dietary risk factors known to be associated with a range of health problems, including cardiovascular diseases (CVDs), cancer, and diabetes and kidney diseases (DKDs). Using data from Japan’s National Health and Nutrition Surveys and the Global Burden of Diseases study in 2017, this study aimed to forecast the impact of change in vegetable intake on disability-adjusted life years (DALYs) between 2017 and 2040 for three diseases. METHODS: We generated a three-component model of cause-specific DALYs, including changes in major behavioural and metabolic risk predictors, the socio-demographic index and an autoregressive integrated moving average model to project future DALY rates for 2017–2040 using the data between 1990 and 2016. Data on Vegetable consumption and risk predictors, and DALY rate were obtained from Japan’s National Health and Nutrition Surveys and the Global Burden of Diseases Study in 2017. We also modelled three scenarios of better, moderate and worse cases to evaluate the impact of change in vegetable consumption on the DALY rates for three diseases (CVDs, cancer, and DKDs). RESULTS: Projected mean vegetable intake in the total population showed a decreasing trend through 2040 to 237.7 g/day. A significant difference between the reference scenario and the better case scenario was observed with un-overlapped 95% prediction intervals of DALY rates in females aged 20–49 years (− 8.0%) for CVDs, the total population for cancer (− 5.6%), and in males (− 8.2%) and females (− 13.7%) for DKDs. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10772-2. BioMed Central 2021-04-21 /pmc/articles/PMC8061031/ /pubmed/33882887 http://dx.doi.org/10.1186/s12889-021-10772-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Tanaka, Shiori
Yoneoka, Daisuke
Ishizuka, Aya
Ueda, Peter
Nakamura, Keiji
Uneyama, Hisayuki
Hayashi, Naoki
Shibuya, Kenji
Nomura, Shuhei
Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title_full Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title_fullStr Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title_full_unstemmed Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title_short Projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in Japan
title_sort projections of disability-adjusted life years for major diseases due to a change in vegetable intake in 2017–2040 in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061031/
https://www.ncbi.nlm.nih.gov/pubmed/33882887
http://dx.doi.org/10.1186/s12889-021-10772-2
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