Sage Journals: Discover world-class research

Abstract

At this stage, the problem of population aging is becoming increasingly prominent, and the problem of predicting the elderly is gradually attracting social attention. It is just an urgent problem to ensure the physical and mental health of the elderly, meet their spiritual and cultural needs, promote the sustainability of elderly care services, and make their lives stable. Take into account this, this paper discussed the application of the ecological elderly care control system based on the Internet of things (IoT) in the Integrated Body-Care Model (IBCM) and analyzed the sustainable development strategy of the IBCM. This paper also studied the role of threshold analysis in the recognition of falls of the elderly and conducted an experimental study on the sustainability strategy of the ecological elderly care control system and the integrated elderly care model. The research showed that the average of the 3 month health index of the elderly in Group I was 1.83% higher than that of the elderly in Group T; the average mental well-being index of the elderly in Group I was 3.48% higher than that of the elderly in group T; the average value of the feasibility score of the experts on the sustainability strategy of the sports and nutrition integration model was 90.84, and the average value of the experts on the effectiveness score of the sustainability strategy of the sports and nutrition integration model was 92.98. The ecological elderly care control system can play an important role in the aging care service practice. The sustainability strategy of the integration model of body and breeding has certain feasibility and effectiveness.

Keywords

internet of things ecological elderly care control system integrated body-care model (IBCM)sustainability of elderly care services

Get full access to this article

View all access options for this article.

References

Zhou

Zhu

, et al. Medical and old-age care integration model and implementation of the Integrated Care of Older People (ICOPE) in China: opportunities and challenges. J Nutr Health Aging 2021; 25(6): 720–723.

Threapleton

Chung

Wong

SYS

, et al. Integrated care for older populations and its implementation facilitators and barriers: a rapid scoping review. Int J Qual Health Care 2017; 29(3): 327–334.

Vrijmoeth

Wassenaar

Koopmans

RTCM

, et al. Generalist-specialist collaboration in primary care for frail older persons: a promising model for the future. J Am Med Dir Assoc 2022; 23(2): 288–296.

Hussein

Mohamed

. Ageing and elderly care in the Arab region: policy challenges and opportunities. Ageing Int 2017; 42(3): 274–289.

Zhang

. A quality function deployment–based resource allocation approach for elderly care service: perspective of government procurement of public service. Int Soc Work 2021; 64(6): 992–1008.

Lee

. Trends and challenges of using welfare technology in elderly care. International Journal of Contents 2018; 14(2): 30–34.

Woll

Tone

. A trajectory for technology-supported elderly care work. Comput Support Coop Work 2019; 28(1): 127–168.

Qian

Zhang

Yamamoto

, et al. Artificial intelligence internet of things for the elderly: from assisted living to health-care monitoring. IEEE Signal Process Mag 2021; 38(4): 78–88.

Tun

SYY

Samaneh

Farhaan

. Internet of things (IoT) applications for elderly care: a reflective review. Aging Clin Exp Res 2021; 33(4): 855–867.

10.

Azimi

Rahmani

Liljeberg

, et al. Internet of things for remote elderly monitoring: a study from user-centered perspective. J Ambient Intell Hum Comput 2017; 8(2): 273–289.

11.

Forkan

ARM

Branch

Jayaraman

, et al. An internet-of-things solution to assist independent living and social connectedness in elderly. Trans Soc Comput 2019; 2(4): 1–24.

12.

Das

Tuna

Demirel

, et al. A survey on the internet of things solutions for the elderly and disabled: applications, prospects, and challenges. Ijcna 2017; 4(3): 1–9.

13.

Hassen

Dghais

Hamdi

. An E-health system for monitoring elderly health based on IoT and Fog computing. Health Inf Sci Syst 2019; 7(1): 1–9.

14.

Chandra

Sivakumar

Gokulnath

, et al. IoT based fall detection and ambient assisted system for the elderly. Clust Comput 2019; 22(1): 2517–2525.

15.

. Analysis on the sustainability of people to people assistance and high quality elderly care. Inter J Edu Hum 2022; 4(3): 231–234.

Application of IoT-based eco-aging control system in integrated body-care elderly service

Abstract

Keywords

Get full access to this article

References