ArticleFrontiers in public health2026
Multimethod geospatial modeling of life expectancy determinants in China.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Although China has achieved sustained growth in life expectancy, significant spatial disparities persist across regions, necessitating investigation into their underlying determinants. Methods: This study systematically examines provincial-level life expectancy patterns in 2020 using multiple analytical approaches, including multiple linear regression (MLR), spatial lag model (SLM), geographically weighted regression (GWR), multiscale geographically weighted regression (MGWR), and Geodetector. The analysis incorporates comprehensive datasets covering socioeconomic indicators, education levels, healthcare resources, and environmental factors. Results: The findings reveal a pronounced east-west gradient, with coastal provinces exhibiting significantly higher life expectancy than inland regions. Spatial analysis identified distinct clustering patterns (Global Moran's I = 0.5339, Conclusion: The findings provide a scientific basis for formulating region-specific health policies and offer valuable insights for advancing the Healthy China initiative.
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.