ArticlePsychiatry investigation2019
Effects of a Province-Based Strategy to Prevent Suicide Using Charcoal Burning: A Preliminary Time Series Analysis.
Article in Psychiatry investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- National Trends and Directions for Suicide Prevention Research in South Korea: A Narrative Review.Psychiatry investigation · 2025Article
- Perceptions towards charcoal-burning suicide and the surge of this lethal method in Taiwan.PloS one · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The suicide rate in Korea has been declining steadily after peaking in 2011. However, to date, time-series analyses of Korean suicide rate data have mainly addressed factors related to increases in suicide rates. This study analyzed one of the most important evidence-based public health strategies to decrease suicide, that is, preventive effects of restricting access to lethal means via a charcoal-selling procedure improvement campaign, using multivariate time series analysis. The results showed the campaign in Gyeonggi Province had a significant effect on decreasing the number of charcoal-burning suicides in this area. It is believed that the present study has important implications in terms of providing the first empirical evidence for the charcoal-selling procedure improvement campaign in Korea. Further repeated research is needed to evaluate the impact of the intervention when the more enough observational data become available.
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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.