کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5100188 1478767 2016 57 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Forecasting trends in disability in a super-aging society: Adapting the Future Elderly Model to Japan
ترجمه فارسی عنوان
پیش بینی روند ناتوانی در یک جامعه پیری پیرامون: سازگاری مدل آینده سالمندان با ژاپن
کلمات کلیدی
مدل سالخوردگان آینده میکروسیمولت، سالخورده، همراهی مراقبت بلند مدت، ژاپن،
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد و اقتصادسنجی
چکیده انگلیسی
Japan has experienced pronounced population aging, and now has the highest proportion of elderly adults in the world. Yet few projections of Japan's future demography go beyond estimating population by age and sex to forecast the complex evolution of the health and functioning of the future elderly. This study estimates a new state-transition microsimulation model - the Japanese Future Elderly Model (FEM) - for Japan. We use the model to forecast disability and health for Japan's future elderly. Our simulation suggests that by 2040, over 27 percent of Japan's elderly will exhibit 3 or more limitations in IADLs and social functioning; almost one in 4 will experience difficulties with 3 or more ADLs; and approximately one in 5 will suffer limitations in cognitive or intellectual functioning. Since the majority of the increase in disability arises from the aging of the Japanese population, prevention efforts that reduce age-specific morbidity can help reduce the burden of disability but may have only a limited impact on reducing the overall prevalence of disability among Japanese elderly. While both age and morbidity contribute to a predicted increase in disability burden among elderly Japanese in the future, our simulation results suggest that the impact of population aging exceeds the effect of age-specific morbidity on increasing disability in Japan's future.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of the Economics of Ageing - Volume 8, December 2016, Pages 42-51
نویسندگان
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