Evidence map›Paper›PMID 40796277›Full record

ArticleMilitary medicine2026

Recognition Overdue: Military Health Records and Mortality of Norwegian Opération des Nations Unies au Congo Veterans 1960-1964.

Hye Jung Choi, Elin Anita Fadum, Lene Ekhaugen, Torunn Laugen Haaland, Leif Aage Strand, Kristine Vejrup

Abstract read
In one paragraph

Article in Military medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hye Jung ChoiNorwegian Armed Forces Joint Medical Services, Institute of Military Epidemiology, Sessvollmoen 2058, Norway.ORCID 0000-0003-4957-0664
Elin Anita FadumNorwegian Armed Forces Joint Medical Services, Institute of Military Epidemiology, Sessvollmoen 2058, Norway.
Lene EkhaugenNorwegian Institute for Defence Studies (IFS), Norwegian Defence University College, Oslo 1550, Norway.
Torunn Laugen HaalandNorwegian Institute for Defence Studies (IFS), Norwegian Defence University College, Oslo 1550, Norway.
Leif Aage StrandNorwegian Armed Forces Joint Medical Services, Institute of Military Epidemiology, Sessvollmoen 2058, Norway.
Kristine VejrupNorwegian Armed Forces Joint Medical Services, Institute of Military Epidemiology, Sessvollmoen 2058, Norway.ORCID 0000-0002-7448-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs part of a Norwegian Ministry of Defence initiative, we examined the health records and mortality of veterans who served in Opération des Nations Unies au Congo (ONUC) from 1960 to 1964. MATERIALS AND

methodsWe manually searched personnel folders of ONUC veterans located in the National Archives in Oslo. After transcription and quality checks of the data, we employed descriptive statistics to examine the health records assessed before and after ONUC. We linked information from 640 veterans identified in the Norwegian National Population Register to the Causes of Death Registries to analyze their mortality. Standardized Mortality Ratios (SMRs) were calculated to compare the observed number of deaths among veterans to the expected deaths among all Norwegian men. Poisson regression analysis was used to compare mortality rates across different operation-related factors and expressed as relative risk.

resultsThe average birth year of ONUC veterans was 1931 and the average deployment year was 1962, with deployment typically lasting 6 months. Most veterans served in the Air Force (59.4%). Their health profiles remained so following the operation and over the years. The SMR for all-cause mortality was 0.83 (95% CI: 0.75-0.90), indicating lower mortality than the general male population. There was no elevated SMR for external causes (SMR: 0.78, 95% CI: 0.50-1.15). We did not find any operation-related factors that were associated with mortality.

conclusionTo the best of our knowledge, this is the first epidemiological study using data from UN operations prior to 1978. While we experienced challenges in digitizing preserved paper-based health records for Norwegian ONUC veterans, we found that they generally had good health and lower mortality, suggesting a "healthy soldier effect." Systematic follow-up for veterans is needed in order to preserve health data for future research and veteran welfare.

Indexed as

Medical RecordsMortalityVeteransAdultCause of DeathFemaleHumansMaleMiddle AgedNorwayRegistries

Identifiers

PMID40796277
PMCPMC12826853

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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.