ArticleBMC public health2025
Spatiotemporal effect of internet use on life expectancy: cross-country insight from a geographically and temporally weighted analysis.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Article
- Impact of air pollution on life expectancy: the role of digitalization, urbanization and institutional quality in BRICS economies.Frontiers in public health · 2026Article
- Determinants of life expectancy in high longevity countries: evidence from machine learning.Frontiers in public health · 2025Article
- Current status of Internet medical health service usage behavior and demand of myasthenia gravis patients: a cross-sectional study.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Internet use has become an important factor affecting health. The spatio-temporal heterogeneity of the influence of internet utilization on life expectancy has not been thoroughly investigated on a global scale. The spatial clustering patterns that influence of internet usage on residents' health levels have not yet been detected. The Geographically and Temporally Weighted Regression (GTWR) model is used to examine the spatio-temporal variation of the associations between internet use and life expectancy in 182 countries from 1990 to 2020. K-mean is employed to reveal the spatial clustering patterns exhibited by GTWR fitting coefficients. The results demonstrate that internet use significantly and positively impacts life expectancy globally based on GTWR fitting coefficients. Meanwhile, the influence of internet use on life expectancy demonstrates spatio-temporal heterogeneity and non-stationarity. Furthermore, six distinctive spatial clusters are revealed utilizing the GTWR fitting coefficients as a foundation. Spatial cluster 1 is the region where internet use has the least health-promoting effect, whereas spatial cluster 6 is the region where internet use has the greatest health-promoting effect. Our findings offer novel insights into the spatio-temporal heterogeneity relationship and non-stationarity between internet use and life expectancy while providing empirical evidence to support the implementation of region-specific internet policies aimed at enhancing health outcomes.
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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.