Geographical characteristics and influencing factors of the health level of older adults in the Yangtze River Economic Belt, China, from 2010 to 2020

被引:0
作者
Yang, Mengmeng [1 ]
Gong, Shengsheng [1 ]
机构
[1] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 09期
关键词
SELF-RATED HEALTH; DEPRESSIVE SYMPTOMS; URBANIZATION; INEQUALITIES; ASSOCIATION; DISPARITIES; ENVIRONMENT; MORTALITY; ALTITUDE; IMPACT;
D O I
10.1371/journal.pone.0308003
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The health of older adults is crucial for the overall health of the entire life cycle. Based on population sampling survey data and census data from 131 prefecture level units in the Yangtze River Economic Belt (YREB) during 2010-2020, this study used exploratory spatial data analysis, geographical detector, stepwise regression analysis, and GTWR model to analyze the spatiotemporal pattern and influencing factors of the health level of older adults in the YREB. The results show that the health level of older adults in the YREB slightly increased from 2010 to 2020, with the most significant improvement in the upstream region and the most significant decline in the midstream region. The older adults' health level in the YREB displays a gradient decreasing pattern of the downstream, midstream, and upstream regions. The health level of older adults in the YREB is influenced by a combination of natural and social environment factors. Areas with lower altitude and moderate humidity climates are more conducive to the health of older adults. The increase in influencing factors such as population migration rate, per capita GDP, average years of education, per capita housing construction area, per capita park green area, and green coverage rate in built-up areas is conducive to improving the health level of older adults, while lower number of health institutions per 1,000 people and higher household support rate are not conducive to improving the health level of older adults. In addition, over time, the health-promoting effect of natural environmental factors is enhanced from 2010 to 2020, and the influence of annual precipitation on shaping the spatial pattern of older adults' health level became more obvious. Although the promoting effect of population migration on the health level of older adults tends to weaken, it remains the primary factor affecting the spatiotemporal differentiation of older adults' health level in the YREB. The impact of social development on the health level of older adults has changed from a positive health effect (improvement) to a negative health effect (loss). The health-promoting effect of living environment factors is enhanced. The health-inhibitory effect of household support rate increased, and showed a gradient decreasing pattern from downstream to midstream to upstream. The findings of this study can provide a more in-depth understanding of the spatiotemporal pattern of the health level of older adults in the YREB and the factors influencing it, improve the health level of older adults in the region, and promote the development of healthy and active aging in the YREB, and improve the human health. At the same time, this study also supplements the related research on aging and the health level of the elderly. Firstly, it can provide reference for the research on the health of old adults in other countries and regions around the world. Secondly, it can also provide a basis for research on aging and the health of old adults in cities and counties under YREB.
引用
收藏
页数:29
相关论文
共 50 条
  • [31] Spatial differences of ecosystem services and their driving factors: A comparation analysis among three urban agglomerations in China's Yangtze River Economic Belt
    Luo, Qiaoling
    Zhou, Junfang
    Li, Zhigang
    Yu, Bolin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 725
  • [32] Environmental regulations, green development of agriculture, and residents' health-empirical analysis of Yangtze River Economic Belt in China
    You, Fuling
    Li, Shilong
    PEERJ, 2023, 11
  • [33] Geographical characteristics and influencing factors of the influenza epidemic in Hubei, China, from 2009 to 2019
    Yang, Mengmeng
    Gong, Shengsheng
    Huang, Shuqiong
    Huo, Xixiang
    Wang, Wuwei
    PLOS ONE, 2023, 18 (11):
  • [34] Do Internet Development and Urbanization Foster Regional Economic Growth: Evidence from China's Yangtze River Economic Belt
    Zhong, Shunbin
    Li, Mengding
    Liu, Yihui
    Bai, Yun
    SUSTAINABILITY, 2023, 15 (12)
  • [35] The Carbon Emission Reduction Effect of City Cluster-Evidence from the Yangtze River Economic Belt in China
    Li, Xin
    Huang, Chunlei
    Zhan, Shaoguo
    Wu, Yunxi
    ENERGIES, 2022, 15 (17)
  • [36] Exploration of spatial heterogeneity in the effect of woodland proportion on PM2.5: An empirical study from the Yangtze River economic Belt, China
    Wang, Min
    Wu, Yingmei
    Wang, Yang
    Hu, Pingping
    Sun, Guiquan
    ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (12)
  • [37] Exploring the land ecological security and its spatio-temporal changes in the Yangtze River Economic Belt of China, 2000-2020
    Wang, Nan
    Li, Shixiang
    Kang, Qiying
    Wang, Ying
    ECOLOGICAL INDICATORS, 2023, 154
  • [38] Quantitative analysis of spatiotemporal disparity of urban water use efficiency and its driving factors in the Yangtze River Economic Belt, China
    Ji, Renke
    Wang, Chao
    Wang, Peng
    Wang, Wei
    Chen, Nengcheng
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 51
  • [39] Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China's Yangtze River Economic Belt
    Meng, Deyu
    Wei, Guoen
    Sun, Pingjun
    COMPLEXITY, 2020, 2020
  • [40] Characteristics of the factors influencing transportation and accumulation processes during a persistent pollution event in the middle reaches of the Yangtze River, China
    Zhou, Yue
    Bai, Yongqing
    Yue, Yanyu
    Lu, Jingjing
    Cheri, Sainan
    Xiao, Hui
    ATMOSPHERIC POLLUTION RESEARCH, 2019, 10 (05) : 1420 - 1434