Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt
BackgroundRevealing the spatiotemporal differentiation characteristics of population life expectancy (LE) and exploring the spatiotemporal heterogeneity in impacts of social determinants of health (SDOH) is a crucial foundation for the scientific allocation of regional public resources and the formu...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1521414/full |
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| author | Youming Dong Mengcheng Wang Yaya Song Zeyu Yi Jiulang Peng Xiyan Mao Xianjin Huang Xianjin Huang |
| author_facet | Youming Dong Mengcheng Wang Yaya Song Zeyu Yi Jiulang Peng Xiyan Mao Xianjin Huang Xianjin Huang |
| author_sort | Youming Dong |
| collection | DOAJ |
| description | BackgroundRevealing the spatiotemporal differentiation characteristics of population life expectancy (LE) and exploring the spatiotemporal heterogeneity in impacts of social determinants of health (SDOH) is a crucial foundation for the scientific allocation of regional public resources and the formulation and implementation of localized public health policies.Materials and methodsThe study focused on 1,068 county-level units in the Yangtze River Economic Belt (YREB) of China, utilizing census data from 2000, 2010, and 2020 to uncover the spatiotemporal differentiation patterns of county-level LE. The Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the spatiotemporal heterogeneity in impacts of various SDOH on LE and the differences in effects among different types of county-level administrative divisions.Results(1) From 2000 to 2020, the average LE in the counties of the YREB had gradually increased from 72.3 years to 81.3 years, with a spatial pattern of LE showing that the eastern region exceeded the central region, which exceeded the western region. (2) The high-high clusters were primarily concentrated in urban agglomerations, while low-low clusters were predominantly located in the western region of the YREB. (3) Overall, the gender ratio (GR) and family size (FS) negatively impacted LE, while the average years of education (AYE), the logarithm of per capita disposable income [PDI(ln)], per capita housing area (PHA), and healthcare professionals per 1,000 people (PHP) had positive effects. (4) The impact of different SDOH varied across space and time. Furthermore, the effects of different SDOH varied among different types of county-level administrative divisions.ConclusionThese findings encourage local policymakers to focus on socioeconomic development at the county level, rationally allocate public resources, and formulate and implement localized public health policies in a tailored and orderly manner, thereby promoting spatial equity in population health. |
| format | Article |
| id | doaj-art-b74df70a90a84c4f9ad7cecbe8cf2a24 |
| institution | OA Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Public Health |
| spelling | doaj-art-b74df70a90a84c4f9ad7cecbe8cf2a242025-08-20T02:24:38ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-04-011310.3389/fpubh.2025.15214141521414Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic BeltYouming Dong0Mengcheng Wang1Yaya Song2Zeyu Yi3Jiulang Peng4Xiyan Mao5Xianjin Huang6Xianjin Huang7School of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaKey Laboratory of Carbon Neutrality and Territorial Space Optimization, Ministry of Natural Resources, Nanjing, ChinaBackgroundRevealing the spatiotemporal differentiation characteristics of population life expectancy (LE) and exploring the spatiotemporal heterogeneity in impacts of social determinants of health (SDOH) is a crucial foundation for the scientific allocation of regional public resources and the formulation and implementation of localized public health policies.Materials and methodsThe study focused on 1,068 county-level units in the Yangtze River Economic Belt (YREB) of China, utilizing census data from 2000, 2010, and 2020 to uncover the spatiotemporal differentiation patterns of county-level LE. The Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the spatiotemporal heterogeneity in impacts of various SDOH on LE and the differences in effects among different types of county-level administrative divisions.Results(1) From 2000 to 2020, the average LE in the counties of the YREB had gradually increased from 72.3 years to 81.3 years, with a spatial pattern of LE showing that the eastern region exceeded the central region, which exceeded the western region. (2) The high-high clusters were primarily concentrated in urban agglomerations, while low-low clusters were predominantly located in the western region of the YREB. (3) Overall, the gender ratio (GR) and family size (FS) negatively impacted LE, while the average years of education (AYE), the logarithm of per capita disposable income [PDI(ln)], per capita housing area (PHA), and healthcare professionals per 1,000 people (PHP) had positive effects. (4) The impact of different SDOH varied across space and time. Furthermore, the effects of different SDOH varied among different types of county-level administrative divisions.ConclusionThese findings encourage local policymakers to focus on socioeconomic development at the county level, rationally allocate public resources, and formulate and implement localized public health policies in a tailored and orderly manner, thereby promoting spatial equity in population health.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1521414/fulllife expectancyspatiotemporal patternsocial determinants of healthgeographically and temporally weighted regression modelthe Yangtze River Economic Belt |
| spellingShingle | Youming Dong Mengcheng Wang Yaya Song Zeyu Yi Jiulang Peng Xiyan Mao Xianjin Huang Xianjin Huang Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt Frontiers in Public Health life expectancy spatiotemporal pattern social determinants of health geographically and temporally weighted regression model the Yangtze River Economic Belt |
| title | Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt |
| title_full | Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt |
| title_fullStr | Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt |
| title_full_unstemmed | Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt |
| title_short | Spatiotemporal patterns and social determinants of county life expectancy in the Yangtze River Economic Belt |
| title_sort | spatiotemporal patterns and social determinants of county life expectancy in the yangtze river economic belt |
| topic | life expectancy spatiotemporal pattern social determinants of health geographically and temporally weighted regression model the Yangtze River Economic Belt |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1521414/full |
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