Healthy ageing的問題,透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

Healthy ageing的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦寫的 Ageing with Smartphones in Urban Brazil: A Work in Progress 和的 Healthy Ageing in Asia: Culture and Tradition in Prevention and Wellness都 可以從中找到所需的評價。

另外網站Healthy Ageing Strategy: update | Ministry of Health NZ也說明:The Healthy Ageing Strategy presents the strategic direction for change and a set of actions to improve the health of older people, ...

這兩本書分別來自 和所出版 。

國立體育大學 競技與教練科學研究所 鄭世忠、錢桂玉所指導 杨永的 運動訓練與停止訓練對中老年人骨骼肌氧合能力與身體功能表現之影響 (2022),提出Healthy ageing關鍵因素是什麼,來自於爆發力訓練、阻力訓練、心肺訓練、近紅外線光譜儀、停止訓練。

而第二篇論文國立中正大學 資訊管理系研究所 胡雅涵、李珮如所指導 宋昇峯的 以監督式機器學習探討電子病歷中非結構化資料對早期預測中風後功能復原後果之價值 (2021),提出因為有 急性缺血性中風、電子病歷、功能復原後果、機器學習、敘述式臨床紀錄、自然語言處理、風險模型、預測的重點而找出了 Healthy ageing的解答。

最後網站Healthy Ageing Forum - University of Coimbra - UC則補充:April 7th 2021 | ONLINE | FREE. The 2 nd UK-Portugal Healthy Ageing Forum want to bring together policy-makers, researchers and businesses to discuss the ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Healthy ageing,大家也想知道這些:

Ageing with Smartphones in Urban Brazil: A Work in Progress

為了解決Healthy ageing的問題,作者 這樣論述:

An exploration of technology’s role in the day-to-day life of aging urban Brazilians. With people living longer all over the world, aging has begun to be framed as a socioeconomic problem. In Brazil, older people are expected to remain healthy and autonomous while actively participating in societ

y. Based on ethnographic research in São Paulo, this book shows how older people in a middle-class neighborhood try to reconcile these expectations with the freedom and pleasures reserved for old age by using smartphones. Smartphones have become of great importance to the residents as they search fo

r and engage in new forms of work and hobbies. Connected by a digital network, they work as content curators, sharing activities that fill their schedules. Managing multiple WhatsApp groups is a job in itself, as well as a source of solidarity and hope. Friendship groups help each to download new ap

ps, search for medical information and guidance, and navigate the city. Together, the author shows, older people are reinventing themselves as volunteers, entrepreneurs, and influencers, or they are finding a new interest that gives their later life a purpose. The smartphone, which enables the resid

ents to share and discuss their busy lives, is also helping them, and us, to rethink aging.

Healthy ageing進入發燒排行的影片

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Hello! My name is Mong Chin and I'm from sunny Singapore. I am 1.63m and I am singaporean Chinese. I speak English, Mandarin and am currently learning Korean in my free time. I love all things beauty and fashion, and I also like to share my life here. I hope you guys enjoy watching my videos!

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運動訓練與停止訓練對中老年人骨骼肌氧合能力與身體功能表現之影響

為了解決Healthy ageing的問題,作者杨永 這樣論述:

運動是一種改善中老年人骨骼肌氧合能力、提高肌肉力量並最終影響整體身體功能表現的有效方式。然而,較少的研究評估不同運動類型之間訓練效益的差異。此外,由於中老年人生病、外出旅行與照顧兒童等原因,迫使運動鍛煉的中斷。如何合理安排運動訓練的週期、強度與停訓週期,以促使中老年人在未來再訓練快速恢復以往訓練效益,目前亦尚不清楚。本文以三個研究建構而成。研究I:不同運動訓練模式對中老年人的骨骼肌氧合能力、肌力與身體功能表現的影響。以此探討50歲及以上中老年人進行每週2次為期8週的爆發力、阻力訓練以及心肺訓練在改善中老年人肌肉組織氧合能力、與肌肉力量身體功能效益的差異。我們的研究結果表明:爆發力組在改善下肢

肌力、最大爆發力與肌肉品質方面表現出較佳的效果。心肺組提高了30s坐站測試成績並減少了肌肉耗氧量,從而改善了中老年人在30s坐站測試期間的運動經濟性。年紀較高的肌力組則對於改善平衡能力更加有效。此外,三組運動形式均有效改善了中老年人人敏捷性。研究 Ⅱ:停止訓練對運動訓練後中老年人肌力與身體功能表現的影響:系統性回顧與meta分析。本研究欲探討停止訓練對運動訓練後中老年人肌力與身體功能表現訓練效益維持的影響。我們的研究結果表明:訓練期大於停止運動訓練期是肌力維持的重要因素。若訓練期

Healthy Ageing in Asia: Culture and Tradition in Prevention and Wellness

為了解決Healthy ageing的問題,作者 這樣論述:

Asia is the world’s most populous region and has the highest per capita number of older people in the world. It is also home to the healthy ageing traditions of Ayurveda and Chinese Medicine and the rich regional traditions of Japan, Korea, Southeast Asia, and South Asia. This book addresses poli

cies related to ageing, traditional Asian approaches to ageing, an integrated medical system approaches to ageing, ageing in place, and community empowerment.FeaturesPresents information on The 100-Year Life. As a counterpoint to focussing on the frail elderly, Japan is promoting the ’100-Year Life

Society’, a societal model in which all citizens are dynamically engaged and productive throughout the lifespan to reach a healthy 100 years of age.Discusses a framework for optimization of Ageing in Place or staying at home as this is a desired option for most older people.Presents evidence for exe

rcise and movement in healthy aging with guidelines in different states of ageing.Features information on how to improve mental wellbeing in cognitive decline, isolation and loneliness, poor nutrition, and reduced mobility. Creates an understanding of loss and bereavementthrough processes and the im

pact of loss.Provides information on developments in health technology to optimize efficiency, accuracy, and effectiveness of providers.Details health insurance optionsincluding coverage for traditional as well as modern medical services, provides models for other countries in the region. Lists copi

ng skills or abilities to help older people to be more independent and in control of their lives.Features information on Asian herbs, spices and foods in healthy ageing across the lifepsan and specifically in addressing age-related health issues. "What is required is a new culture based on the scien

ce in which older people are expected to remain, or become increasingly active, physically, cognitively and emotionally maintaining or strengthening a strong sense of purpose. Europe is looking to Asia because this culture is more prevalent there than in Europe. The core theme is not one of ’caring’

for a passive subset of the population but of promoting lifelong learning because knowledge is the elixir of life." - Professor Sir Muir Gray, Founding Director, The Optimal Ageing Programme & Professor in the Nuffield Department of Surgery, University of Oxford

以監督式機器學習探討電子病歷中非結構化資料對早期預測中風後功能復原後果之價值

為了解決Healthy ageing的問題,作者宋昇峯 這樣論述:

中風是導致成人殘障的重要原因,中風功能復原後果的精準預測,能協助病人及家屬及早準備後續照顧事宜,衛生政策制定者也能依此預測結果適切規劃人力與資源,以投入中風病人的急性後期與中長期照護。目前的中風功能復原後果預測模型皆是以結構化資料建立,甚至最新使用數據驅動方式發展的機器學習預測模型依然是以結構化資料為主。相對的,照顧病人所製作的大量敘述式病歷文字紀錄,即非結構化資料,反而甚少被使用。因此,本研究的目的,即是使用監督式機器學習來探討非結構化臨床文字紀錄於急性缺血性中風後之初期預測功能復原後果之應用價值。在6176位2007年10月至2019年12月間因急性缺血性中風住院之病人中,共3847位病

人符合本研究之收案/排除條件。我們使用自然語言處理,萃取出住院初期之醫師紀錄及放射報告中之臨床文字紀錄,並且實驗了不同文字模型與機器學習演算法之組合,來建構中風功能復原後果的預測模型。實驗發現使用醫師紀錄時,操作特徵曲線下面積為0.782至0.805,而使用放射報告時,曲線下面積為0.718至0.730。使用醫師紀錄時,最好的組合為詞頻-倒文件頻加上羅吉斯迴歸,而使用放射報告時,最好之組合為基于轉換器的雙向編碼器表示技術加上支持向量機。這些基於純文字的機器學習預測模型並無法勝過傳統的風險模型,這些傳統模型的曲線下面積為0.811至0.841。然而,不管是以曲線下面積、重分類淨改善指標、或整合式

區辨改善指標來評估,臨床文字紀錄中的資訊的確可以增強傳統風險模型的預測效能。本研究之結論為,電子病歷中的非結構化文字經過自然語言處理後,不僅可以成為另類預測中風功能復原後果的工具,更可以增強傳統風險模型的預測效能。透過演算法來自動擷取並整合分析結構化與非結構化資料,將能提供醫師更好的決策支援。