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The structure of healthy life determinants : lessons from the Japanese Aging Cohort Studies

Author: Tanji Hoshi; Sayuri Kodama
Publisher: Singapore : Springer Nature Singapore, [2018] ©2018
Series: International perspectives on aging, 18.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book is the first one to examine the cause and effect of elderly people's healthy life expectancy, providing models that are easy to understand. The novel point is the success achieved in constructing a single structural model of cause and effect of healthy life expectancy. In the final models of the authors' studies, it was possible to clearly point out that it is not the case that lifestyle habits including  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Tanji Hoshi; Sayuri Kodama
ISBN: 9789811066290 9811066299 9811066280 9789811066283
OCLC Number: 1012343046
Description: 1 online resource : illustrations.
Contents: 1. Introduction --
2. Population aging trend of the world --
3. SES, physical health, and long-term care needs --
4. SES, comorbidity, activity limitations, and healthy life expectancy --
5. SES, mental health, and need for long-term care --
6. SES, social interaction, and health status --
7. SES, dietary and lifestyle habits, and three health-related dimensions --
8. SES, dietary and lifestyle habits, three health-related dimensions, and healthy survival days --
9. SES, dietary quality, emotional well-being, and a five-year subjective health in middle-age --
10. Causal relationships among three health-related dimensions --
11. SES, environmental condition, three health-related dimensions, and healthy life expectancy --
Afterword --
Index.
Series Title: International perspectives on aging, 18.
Responsibility: Tanji Hoshi, Sayuri Kodama, editors.

Abstract:

This book is the first one to examine the cause and effect of elderly people's healthy life expectancy, providing models that are easy to understand.  Read more...

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