ArticleBMC public health2025
Exploring the economic occupational health, safety, and fatal accidents in high-risk industries.
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 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Active learning and sector-specific simulations mitigate the first-month injury risk in young workers.Frontiers in public health · 2026Pooled it
- Forecasting occupational accidents in Turkey using multivariate ARMAX and NLARX models.Scientific reports · 2026Article
- Integrated multimethod analysis of miners' safety behavior and risk interaction for practical applications.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Despite advancements in occupational health and safety (OHS) management, high-risk industries in China continue to report a significant number of fatal accidents, underscoring systemic challenges in protecting the well-being of workers while supporting economic development. This study analyzed 22 years of historical data on OHS incidents, labor dynamics, and economic growth in China's high-risk industries via multiple regression and network analysis methods. The findings reveal hierarchical influence relationships, with coal mine fatalities emerging as critical upstream factors and transportation fatalities and national labor force dynamics emerging as key downstream factors. Notably, the study reveals a negative correlation between GDP and fatal workplace incidents: for every 0.461 trillion CNY increase in GDP, production safety accident deaths decrease by one. Conversely, each safety accident resulted in 1.052 coal mine fatalities and 0.153 cases of occupational disease. These results offer a novel quantitative perspective on the interplay between economic growth and workplace safety. The study's models provide practical guidance for enhancing the effectiveness of OHS prevention and control efforts, contributing to sustainable economic and public 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.