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      A longevity level-oriented wellness target area identification method: a case study of Yunnan Province, China

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          Abstract

          Background

          Aging, as a global demographic issue, is characterized by its rapid growth, which drives an increase in people's healthcare awareness. The emergence of wellness bases caters to this market demand. Therefore, the identification of potential areas suitable for wellness activities and the construction of wellness bases, referred to as Wellness Target Areas (WTAs), becomes a crucial first step. Currently, commonly used identification methods are mostly based on traditional statistical approaches, which are often complex, cumbersome, and subject to potential risks of subjective assumptions, affecting the reliability of WTAs identification results. Longevity level serves as a comprehensive indicator reflecting the natural and socio-economic environment of a region, making it the most indicative of the regional wellness environment status.

          Methods

          This study proposes using longevity level as the benchmark for WTAs identification to simplify the identification process and reduce the impact of subjective bias on the results. The study focuses on 129 county-level units in Yunnan Province. Firstly, the Geodetector (GD) is utilized to explore the complex interaction between the longevity level and the geographical environment to determine regional wellness factors. Secondly, using ArcGIS and geographical weighted regression (GWR), the study investigates the role of different wellness factors, ultimately classifying and grading the WTAs.

          Results

          The longevity level in Yunnan Province exhibits a pattern of multi-point clustering, forming three major longevity regions. Factors that significantly influence longevity level include annual average precipitation, sunshine duration, PM 2.5 content, per capita disposable income, density of tourist attractions, and distance from residential areas to hospitals. Based on the degree of longevity and the contribution rate of influencing factors, Yunnan Province's WTAs are classified into three levels and two types (natural and comprehensive).

          Conclusion

          Our study aims to establish a connection between longevity level and the selection of wellness bases, exploring regional wellness factors through the relationship between longevity phenomena and geographical environment, identifying potential construction areas for wellness bases (i.e., WTAs), providing new insights for the precise selection of wellness bases, effectively enhancing the scientificity of site selection, promoting population health, and contributing to the global aging process with better health.

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          Most cited references60

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            An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data

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              Change in disability-free life expectancy for Americans 70-years-old and older.

              In this article, we examine changes in life expectancy free of disability using longitudinal data collected from 1984 through 2000 from two cohorts who composed the Longitudinal Studies of Aging I and II. Life expectancies with and without ADL and/or IADL disability are calculated using a Markov-based multistate life table approach. At age 70, disability-free life expectancy increased over a 10-year period by 0.6 of a year in the later cohort, which was the same as the increase in total life expectancy, both increases marginally statistically significant. The average length of expected life with IADL and ADL disability did not change. Changes in disability-free life expectancy resulted from decreases in disability incidence and increases in the incidence of recovery from disability across the two survey cohorts. Age-specific mortality among the ADL disabled declined significantly in the later cohort after age 80. Mortality for the IADL disabled and the nondisabled did not change significantly. Those with ADL disability at age 70 experienced substantial increases in both total life expectancy and disability-free life expectancy. These results indicate the importance of efforts both to prevent and delay disability and to promote recovery from disability for increasing life expectancy without disability. Results also indicate that while reductions in incidence and increases in recovery work to decrease population prevalence of disability, declining mortality among the disabled has been a force toward increasing disability prevalence.
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                Author and article information

                Contributors
                URI : http://loop.frontiersin.org/people/2659672/overviewRole: Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role:
                URI : http://loop.frontiersin.org/people/2244891/overviewRole: Role: Role: Role:
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                12 June 2024
                2024
                : 12
                : 1387850
                Affiliations
                Faculty of Geography, Yunnan Normal University, Kunming , Yunnan, China
                Author notes

                Edited by: Yunhwan Lee, Ajou University, Republic of Korea

                Reviewed by: Tatjana Fischer, University of Natural Resources and Life Sciences Vienna, Austria

                Shahla Choobchian, Tarbiat Modares University, Iran

                *Correspondence: Jiaxue Wang wjxynsd@ 123456163.com
                Article
                10.3389/fpubh.2024.1387850
                11199866
                38932766
                5a66b3d7-33ea-4b92-860e-067ec0b8ea14
                Copyright © 2024 Wang, Wang and Wang.

                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) and the copyright owner(s) 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.

                History
                : 18 February 2024
                : 29 May 2024
                Page count
                Figures: 8, Tables: 2, Equations: 5, References: 60, Pages: 15, Words: 9339
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the special research project of Yunnan Provincial Department of Culture and Tourism titled “Research and Pilot Survey of Tourism Industry Elements in Yunnan Province” (grant number 01300206020618018) and Horizontal Project for Scientific Research Incubation (grant number 01300205020516083/028).
                Categories
                Public Health
                Original Research
                Custom metadata
                Aging and Public Health

                longevity population,influencing factor,wellness target area,wellness base,yunnan province

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