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Descriptive analysis of diseases, non-battle injuries and climate among deployed Swedish military personnel
Anesthesiology and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Sweden, (SWE).
Swedish Defence Research Agency, Umea, Sweden, (SWE).
Swedish Defence University, Institutionen för ledarskap och ledning, Leadership and Command & Control Division Stockholm.ORCID iD: 0000-0003-0394-9724
Research Centre for Disaster Medicine, Institute for Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden, (SWE); School of Public Health and Community Medicine, Sahlgrenska Academy, Gothenburg, Sweden, (SWE).
2025 (English)In: BMJ military health, ISSN 2633-3767, Vol. 171, no 1, p. 80-84Article in journal (Refereed) Published
Abstract [en]

Introduction Historically, diseases and non-battle injuries (DNBI) typically stand for 70%‒95% of all medical events during military missions. There is, however, no comprehensive compilation of medical statistics for Swedish soldiers during deployment.

Method During United Nations Multidimensional Integrated Stabilization Mission in Mali, climate data and medical outpatient health surveillance data were compiled for Swedish soldiers deployed to Timbuctoo, between 2015 and 2019. Correlations between climate data and medical outpatient health surveillance data were analysed.

Results Battle injuries accounted for 0.4% of the visits to healthcare, while diseases accounted for 53.6%, and non-battle injuries for 46%, the majority being musculoskeletal injuries. The combination of high temperature, humidity, sun radiation and good visibility, during summer rotation weeks, caused more events of injuries and heat stress than any other period.

Conclusion Musculoskeletal injuries were the major cause for visits to the Swedish camp hospital. Injuries and heat stress increased during periods of high temperature, humidity, sun radiation and good visibility. Lack of medical data, i.e. unknown number of unique patients seeking healthcare, cause codes not always connected to a primary diagnosis, and revisits not being connected to a diagnose, complicated interpretation of health risk factors.

Place, publisher, year, edition, pages
2025. Vol. 171, no 1, p. 80-84
National Category
Other Health Sciences
Research subject
Leadership and Command & Control
Identifiers
URN: urn:nbn:se:fhs:diva-12674DOI: 10.1136/military-2024-002685OAI: oai:DiVA.org:fhs-12674DiVA, id: diva2:1892316
Available from: 2024-08-26 Created: 2024-08-26 Last updated: 2026-01-07Bibliographically approved

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Schüler, Martin

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CiteExportLink to record
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  • apa
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