Evidence map›Paper›PMID 40809283›Full record

ArticleSSM - population health2025

When conflict meets political exclusion: Ethnicity, governance, and child mortality.

SoYun Chang, Brandon Ives, Jieun Oh

Abstract read
In one paragraph

Article in SSM - population 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. Review
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

3 authors.

SoYun ChangDepartment of Political Science, The Ohio State University, 154 N Oval Mall, Columbus, 43210, USA.
Brandon IvesDepartment of Political Science and International Relations, College of Social Sciences, Seoul National University, Gwanak-ro, Gwanak-gu 1, Seoul, 08826, South Korea.
Jieun OhDepartment of Political Science, University of Michigan, 500 S State St, Ann Arbor, 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Armed conflict poses a major threat to child health, and growing research highlights how political and social structures may moderate its effects, though the full range of relevant effect modifiers remains incompletely understood. This study examines how the relationship between conflict severity and under-5 mortality rates varies depending on patterns of ethnic political representation. Using data from 99 countries from 2000 to 2017 at the first administrative level (ADM1), it tests the hypothesis that conflict severity has a stronger adverse effect on child mortality where ethnic groups that lack political representation reside. Multivariate linear regression models with ADM1 and year fixed effects provide evidence that lack of ethnic political representation operates as an effect modifier of the conflict-mortality relationship. The results remain robust across alternative measurements, covariates, model specifications, and matching techniques. These findings contribute to understanding how political inequality shapes the health consequences of conflict, with implications for both conflict-affected health interventions and policies addressing political representation.

Indexed as

Child healthConflictEthnicityPolitical representationUnder-5 mortality

Identifiers

PMID40809283
PMCPMC12348290

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.