Evidence map›Paper›PMID 40623024›Full record

ArticlePloS one2025

Economic growth and suicide rates: Differential accumulated effects.

Dong-Wook Lee, Yun-Chul Hong, Je-Yeon Yun, Soo-Hyun Nam, Nami Lee

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Dong-Wook LeeDepartment of Occupational and Environmental Medicine, Inha University Hospital, Inha University, Incheon, Republic of Korea.ORCID https://orcid.org/0000-0002-4023-3269
Yun-Chul HongDepartment of Human Systems Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Je-Yeon YunSeoul National University Hospital, Seoul, Republic of Korea.
Soo-Hyun NamDepartment of Nursing, Gyeongkuk National University, Andong, Republic of Korea.
Nami LeeDepartment of Human Systems Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6971-7542

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic growth has a protective effect against suicide, but the nature of this association remains unclear. This ecological study explored the relationship between economic growth and suicide rates across countries within a specific timeframe. Data on age-standardized suicide rates and gross domestic product per capita (GDPpc) from 198 countries between 1991 and 2021 were obtained from the Global Burden of Disease Study and the World Bank. Using a two-way fixed-effects model and the compound annual growth rate, the association between age- and sex-adjusted suicide rates and GDPpc changes in preceding years was analyzed. GDPpc growth and lower suicide rates were significantly correlated, with a stronger correlation over longer periods, and similar associations were observed in upper-middle, lower-middle, and low-income countries. The opposite correlation was found between increased suicide rates and short-term average GDPpc growth in high-income countries, with economic growth being associated with increased suicide rates in these countries. In low- and lower-middle-income countries, increased suicide rates were associated with long-term economic stagnation. Socioenvironmental stress related to economic changes should be considered when implementing suicide prevention policies.

Indexed as

Economic DevelopmentSuicideDeveloped CountriesDeveloping CountriesFemaleGross Domestic ProductHumansMale

Identifiers

PMID40623024
PMCPMC12233259

What OpenQuestion holds

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Registered trials

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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.