Evidence map›Paper›PMID 40800017›Full record

ArticleFrontiers in public health2025

The rising role of physical activity in multiscale urban aging: evidence from spatial MGWR modeling in Hubei.

Junjun Qiu, Yuge Zhang, Binbin Jia, Danyang Li

Abstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Junjun Qiu *Center for Aging and Health Sciences, The College of Sports Science and Technology of Wuhan Sports University, Wuhan, China.
Yuge Zhang *Institute of Sports Industry, Kookmin University, Seoul, Republic of Korea.
Binbin JiaHubei Provincial Research Center for Innovation and Development in Sports and Health, Wuhan, China.
Danyang LiHubei Provincial Research Center for Innovation and Development in Sports and Health, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Population aging in China exhibits pronounced spatial heterogeneity, driven by complex interactions among demographic dynamics, economic development, healthcare infrastructure, environmental conditions, and lifestyle factors. Understanding which determinants exert the strongest-and most geographically variable-effects is critical for designing targeted healthy-aging policies. This study investigates the multiscale influences on the city-level aging rate in Hubei Province, comparing patterns in 2010 and 2020. Methods: We applied Multiscale Geographically Weighted Regression (MGWR) to annual data for 17 cities in Hubei. Explanatory variables encompassed demographic indicators (birth rate, mortality rate), economic affluence (per-capita GDP), healthcare infrastructure indicators (quantity of health institutions and service enterprises), environmental measures (per capita urban park green space, centralized treatment rate of sewage treatment plants), and physical activity prevalence. MGWR's adaptive bandwidth selection enabled each predictor to operate at its optimal spatial scale, while model fit was assessed via AICc, adjusted R Results: In 2010, spatial variability in aging was dominated by economic (SD≈0.36) and healthcare disparities (SD≈0.31). By 2020, these disparities had largely converged, and demographic divergence-particularly heterogeneous birth-rate effects (SD≈0.42)-became the primary driver. Crucially, physical activity emerged as the most potent local accelerator of aging in 2020 (mean β≈-0.60, SD≈0.25), statistically significant in over half of cities, and operating at a fine spatial scale. Discussion: The temporal shift from structural inequality to demographic and lifestyle determinants underscores the evolving landscape of population aging. MGWR's multi-bandwidth approach revealed that physical-activity interventions must be tailored at the city level, while fertility and economic policies warrant regional coordination. These findings demonstrate MGWR's advantage over global or single-bandwidth models in capturing layered spatial processes. Future research should employ finer spatial units, longitudinal designs, and integrate psychosocial variables to further elucidate healthy-aging pathways.

Indexed as

AgingExercisePopulation DynamicsUrban PopulationChinaCitiesHumansSocioeconomic FactorsSpatial RegressionHubei Provincemultiscale geographically weighted regression (MGWR)physical activitypopulation agingspatial heterogeneity

Identifiers

PMID40800017
PMCPMC12339341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.