Literature DB >> 29187702

Individual nursing care for the elderly among China's aging population.

Jiangbo Bao1,2, Qi Tang3,4, Yingyao Chen2.   

Abstract

By the end of 2014, China had an elderly population age 60 or over totaling 212 million; this group accounted for 15.5% of the country's total population of 1.37 billion, which means that China has passed the threshold for an aging population. As China's population ages and the disease spectrum changes, nursing services for the elderly must be expanded. Given differences in the health status, financial situation, and family composition of each elderly person, modern society is tending towards individual nursing care for the elderly. Adapting to the changing composition of society by age will present new challenges.

Entities:  

Keywords:  Aging of the population; healthcare; long-term care; nursing care

Mesh:

Year:  2017        PMID: 29187702     DOI: 10.5582/bst.2017.01285

Source DB:  PubMed          Journal:  Biosci Trends        ISSN: 1881-7815            Impact factor:   2.400


  4 in total

1.  Socioeconomic and lifestyle determinants of the prevalence of hypertension among elderly individuals in rural southwest China: a structural equation modelling approach.

Authors:  Li Xiao; Cai Le; Gui-Yi Wang; Lu-Ming Fan; Wen-Long Cui; Ying-Nan Liu; Jing-Rong Shen; Allison Rabkin Golden
Journal:  BMC Cardiovasc Disord       Date:  2021-02-02       Impact factor: 2.298

2.  Does Economic Support Have an Impact on the Health Status of Elderly Patients With Chronic Diseases in China? - Based on CHARLS (2018) Data Research.

Authors:  Shaoliang Tang; Yun Xu; Zhengjun Li; Tongling Yang; David Qian
Journal:  Front Public Health       Date:  2021-04-20

3.  Analysis of factors influencing the attitudes towards the elderly of nursing students based on empathy and end-of-life care: A cross-sectional study.

Authors:  Jinchan Zhang; Yang Fu; Hongli Zhang; Tianwei Tang; Mei Yin; Lei Shi
Journal:  Nurs Open       Date:  2022-05-25

4.  Recognition and Analysis of an Age-Friendly Intelligent Sofa Design Based on Skeletal Key-Points.

Authors:  Chengmin Zhou; Ting Huang; Xin Luo; Jake Kaner; Xiaoman Fu
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

  4 in total

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