ArticleFrontiers in public health2025
A study on the spatial distribution of life expectancy and its air pollution factors in China based on geographically weighted regression.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Older adults life expectancy in China: Bayesian mortality estimation and spatially heterogeneous determinants.Frontiers in public health · 2026Article
- Multimethod geospatial modeling of life expectancy determinants in China.Frontiers in public health · 2026Article
- Regional disparities and multidimensional determinants of hospital bed allocation in China: spatial evidence for public health policymaking.Frontiers in public health · 2026Article
- Modeling the drivers of mumps incidence in China: a spatial multi-method analysis.Frontiers in public health · 2026Article
- Modeling mumps incidence in China: spatiotemporal clusters and evolving risk factors (2005-2020).BMC public health · 2025Article
- A multi-method spatial analysis of dysentery incidence determinants across Chinese provinces.Frontiers in public health · 2025Article
- Spatial patterns and socio-environmental determinants of gonorrhea incidence in China.Frontiers in public health · 2025Article
- Spatiotemporal trends and driving factors of gonorrhea incidence in China: a 20-year analysis (2003-2022).Frontiers in public health · 2025Article
- Spatial stratified heterogeneity of mumps incidence in China: a Geodetector-based analysis of driving factors.Frontiers in public health · 2025Article
- Drivers and group analysis of governance efficiency of eco-environmental government-enterprise co-operation in China.Frontiers in public health · 2025Article
- From infectious diseases to chronic diseases: the paradigm shift of spatial epidemiology in disease prevention and control.Frontiers in public health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Life expectancy in China has demonstrated a consistent upward trend, yet significant disparities persist across provinces. Addressing these regional imbalances necessitates a comprehensive investigation into the determinants of life expectancy. Previous research has largely overlooked the critical role of spatial heterogeneity, which is essential for understanding the underlying mechanisms driving these disparities. By incorporating spatial analysis, this study aims to identify and address the factors contributing to the uneven distribution of life expectancy across China, thereby providing a more nuanced understanding of regional health inequalities. Methods: Therefore, this study investigated the spatial distribution characteristics and patterns of life expectancy across 31 provinces in China in 2020 by conducting descriptive and spatial autocorrelation analyses, utilizing life expectancy data alongside key air pollution indicators (PM Results: The findings revealed that in 2020, life expectancy in China exhibited a distinct east-to-west decreasing trend, demonstrating significant spatial autocorrelation that was predominantly characterized by two aggregation patterns: high-high and low-low clusters. The analysis demonstrated that air pollutants, including SO Conclusion: These findings highlight the imperative for local governments to develop and implement region-specific air pollution control measures, taking into account the unique environmental and socio-economic conditions of their respective areas.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.