Literature DB >> 27110727

Meeting the Needs of the Growing Very Old Population: Policy Implications for a Global Challenge.

Stephanie Pin1, Dario Spini1.   

Abstract

Very old adults are one of the fastest-growing age groups worldwide. Yet they rarely constitute a targeted group for public policies. Drawing on the results of the centenarian studies presented in this special issue, we highlight major challenges that arise from the increase of this population. We outline several promising approaches for policy makers and professionals to develop evidence-based policies and programs that are tailored to the needs of very old adults and their families. We focus our discussion on three key topics essential to life care: the importance of integrated care to meet the complex care needs of the very old; the balance between formal and informal care; and the development of suitable places for living. Besides more specific measures, we propose that policies promoting the social integration of very old adults in their communities would be particularly helpful, as these may benefit not only the very old and their families but also individuals of all ages. We conclude that the development of suitable policies addressing the needs of the very old will benefit from future investigation of cross-cultural similarities and differences in centenarians' characteristics, available services, as well as life conditions they encounter in communities and institutional contexts.

Keywords:  Aging; efficiency; inclusion; public policy; social integration; very old

Mesh:

Year:  2016        PMID: 27110727     DOI: 10.1080/08959420.2016.1181972

Source DB:  PubMed          Journal:  J Aging Soc Policy        ISSN: 0895-9420


  4 in total

1.  Prediction of the 20-year incidence of diabetes in older Chinese: Application of the competing risk method in a longitudinal study.

Authors:  Xiangtong Liu; Jason Peter Fine; Zhenghong Chen; Long Liu; Xia Li; Anxin Wang; Jin Guo; Lixin Tao; Gehendra Mahara; Zhe Tang; Xiuhua Guo
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

2.  A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study.

Authors:  Xiangtong Liu; Zhenghong Chen; Jason Peter Fine; Long Liu; Anxin Wang; Jin Guo; Lixin Tao; Gehendra Mahara; Kun Yang; Jie Zhang; Sijia Tian; Haibin Li; Kuo Liu; Yanxia Luo; Feng Zhang; Zhe Tang; Xiuhua Guo
Journal:  Sci Rep       Date:  2016-11-16       Impact factor: 4.379

3.  Effects of creative expression therapy on Chinese elderly patients with dementia: an exploratory randomized controlled trial.

Authors:  Rong Lin; Hui-Ying Chen; Hong Li; Jing Li
Journal:  Neuropsychiatr Dis Treat       Date:  2019-07-30       Impact factor: 2.570

4.  A Multi-Criteria Decision-Making Model for Evaluating Senior Daycare Center Locations.

Authors:  Amy H I Lee; He-Yau Kang
Journal:  Int J Environ Res Public Health       Date:  2019-12-10       Impact factor: 3.390

  4 in total

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