PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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, PM2.5 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).
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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, PM2.5 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).
UNASSIGNED: 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.
摘要：
■老化，作为一个全球性的人口问题，其特点是快速增长，这推动了人们医疗保健意识的提高。健康基地的出现迎合了这一市场需求。因此,确定适合健康活动的潜在区域和建设健康基地，称为健康目标区域(WTAs)，成为关键的第一步。目前,常用的识别方法大多基于传统的统计方法，通常很复杂，笨重、并受到主观假设的潜在风险，影响WTAs识别结果的可靠性。长寿水平是反映一个地区自然和社会经济环境的综合指标,使其成为最能反映区域健康环境状况的指标。
■本研究提出将寿命水平作为WTAs识别的基准，以简化识别过程并减少主观偏见对结果的影响。以云南省129个县级单位为研究对象。首先,地球探测器（GD）用于探索长寿水平与地理环境之间的复杂相互作用，以确定区域健康因素。其次,使用ArcGIS和地理加权回归(GWR)，这项研究调查了不同健康因素的作用，最终对WTA进行分类和分级。
■云南省的长寿水平呈现出多点聚类的模式，形成了三大长寿区。显著影响寿命水平的因素包括年平均降水量，日照时间,PM2.5含量,人均可支配收入,旅游景点的密度，以及从居民区到医院的距离。根据长寿程度和影响因素的贡献率，云南省的WTA分为三个级别和两个类型（自然和综合）。
■我们的研究旨在建立长寿水平与健康基础选择之间的联系，通过长寿现象与地理环境的关系探索区域健康因素,确定健康基地的潜在建筑区域(即，WTAs),为健康基础的精确选择提供新的见解，有效提高选址的科学性，促进人口健康，并以更好的健康为全球老龄化进程做出贡献。
■本研究提出将寿命水平作为WTAs识别的基准，以简化识别过程并减少主观偏见对结果的影响。以云南省129个县级单位为研究对象。首先,地球探测器（GD）用于探索长寿水平与地理环境之间的复杂相互作用，以确定区域健康因素。其次,使用ArcGIS和地理加权回归(GWR)，这项研究调查了不同健康因素的作用，最终对WTA进行分类和分级。
■云南省的长寿水平呈现出多点聚类的模式，形成了三大长寿区。显著影响寿命水平的因素包括年平均降水量，日照时间,PM2.5含量,人均可支配收入,旅游景点的密度，以及从居民区到医院的距离。根据长寿程度和影响因素的贡献率，云南省的WTA分为三个级别和两个类型（自然和综合）。
■我们的研究旨在建立长寿水平与健康基础选择之间的联系，通过长寿现象与地理环境的关系探索区域健康因素,确定健康基地的潜在建筑区域(即，WTAs),为健康基础的精确选择提供新的见解，有效提高选址的科学性，促进人口健康，并以更好的健康为全球老龄化进程做出贡献。
