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ORIGINAL RESEARCH article

Front. Public Health
Sec. Aging and Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1495608

Analysis of Community Elderly Care Facility Construction and Demand Differentiation Based on Residential Area and Population Attribute Differences

Provisionally accepted
Yanzhe Liu Yanzhe Liu 1Yaolei Wang Yaolei Wang 1*Guipin Guo Guipin Guo 2*Tubao Yang Tubao Yang 2*Yupeng Liu Yupeng Liu 1*Hongmei Gao Hongmei Gao 1*Tiejian Jiang Tiejian Jiang 1*XiangMin Li XiangMin Li 1*
  • 1 Xiangya Hospital, Central South University, Changsha, Hunan Province, China
  • 2 Xiangya School of Public Health, Central South University, Changsha, China

The final, formatted version of the article will be published soon.

    Currently, China has fully entered an aging society. The construction and efficient utilization of community elderly care facilities have become urgent issues that need to be addressed. To explore the differences in the needs of elderly people in the community for elderly care services, this study selected three basic needs: life care, medical security, and cultural and entertainment, as the primary indicators of community elderly care needs. A community elderly care demand indicator system was constructed, which included three primary indicators and eleven secondary indicators. Based on the indicator system, a survey questionnaire was designed, and validity analysis was conducted using Kaiser Meyer Olkin test and Bartlett sphericity test. 490 survey questionnaires were distributed to 22 communities in Wuhan, and 447 valid questionnaires were collected, with a response rate of 91.22%. The results indicated that there were significant differences in the distribution of elderly population in different communities. Different types of residential areas and housing prices affected its construction and use. The demand for home-based elderly care services in communities varied significantly. Through analysis of variance, the type of residential area did not show significant differences in elderly bathing assistance, daytime care, mental comfort, sports activities, etc. ( P >0.05), while there were statistical differences in nighttime care, medical care, rehabilitation care, elderly canteens, chess and card entertainment, artistic activities, etc (P<0.05). No significant difference existed in different housing prices for daytime care, nighttime care, mental comfort, and fitness activities (P>0.05), but there was statistical difference for rehabilitation care, medical care, chess and card entertainment, senior dining halls, and artistic activities (P<0.05). According to logistic regression analysis, the income level, self-care ability, and education level had obvious impacts on their basic needs for life care, with OR values of 11.68, 2.621, and 1.792, respectively. This study can provide effective reference for building diversified community home-based elderly care service facilities.

    Keywords: Residential area, Crowd attribute, Olderly people, Elderly care facilities, differentiation

    Received: 09 Oct 2024; Accepted: 13 Jan 2025.

    Copyright: © 2025 Liu, Wang, Guo, Yang, Liu, Gao, Jiang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yaolei Wang, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
    Guipin Guo, Xiangya School of Public Health, Central South University, Changsha, China
    Tubao Yang, Xiangya School of Public Health, Central South University, Changsha, China
    Yupeng Liu, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
    Hongmei Gao, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
    Tiejian Jiang, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
    XiangMin Li, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China

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