JOURNAL ARTICLE
Supporting Aging-in-Place: Drivers and Desired Outcomes of a Healing Environment for Older Adults in Block Spaces of High-Density Cities.
Published In: Health Environments Research & Design Journal (HERD) (Sage Publications, Ltd.), 2024, v. 17, n. 4. P. 242 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Meng, Lingchao; Wen, Kuo-Hsun; Xi, Nannan; Zheng, Tao 3 of 3
Abstract
This article focuses on developing a comprehensive multidimensional framework for healing environments tailored to older adults living in high-density city blocks, aiming to support aging in place. Through a systematic literature review and bibliometric analysis of 4,446 articles, the study identifies four key drivers of healing environments—self-environment, interpersonal environment, physical environment, and information environment—and links them to eight desired outcomes including initiative acquisition, shared vision, trust, empathy, new technologies, systematic organization, networking, and perceived usefulness. The resulting framework conceptualizes healing environments as collaborative, sustainable systems that integrate spatial design, social interactions, and digital information to enhance the physical, psychological, and social well-being of older adults in constrained urban settings. This framework addresses gaps in existing models by emphasizing the role of the information environment in the digital era and offers practical guidance for policymakers, urban planners, and researchers to improve health equity and quality of life for aging populations in densely populated cities.
Additional Information
- Source:Health Environments Research & Design Journal (HERD) (Sage Publications, Ltd.). 2024/10, Vol. 17, Issue 4, p242
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1937-5867
- DOI:10.1177/19375867241271438
- Accession Number:181232100
- Copyright Statement:Copyright of Health Environments Research & Design Journal (HERD) (Sage Publications, Ltd.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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