Bmj Military Health最新文献

Introduction: The main objective was to compare suicide rates and their trends across the three UK Armed forces (Royal Navy, Army and Royal Air Force) from 1900 to 2020. Further objectives were to compare suicide rates with those in the corresponding general population and in UK merchant shipping and to discuss preventative measures.

Methods: Examination of annual mortality reports and returns, death inquiry files and official statistics. The main outcome measure was the suicide rate per 100 000 population employed.

Results: Since 1990, there have been significant reductions in suicide rates in each of the Armed Forces, although a non-significant increase in the Army since 2010. Compared with the corresponding general population, during the most recent decade from 2010 up to 2020, suicide rates were 73% lower in the Royal Air Force, 56% lower in the Royal Navy and 43% lower in the Army. Suicide rates have been significantly decreased in the Royal Air Force since the 1950s, in the Royal Navy since the 1970s and in the Army since the 1980s (comparisons for the Royal Navy and the Army were not available from the late 1940s to the 1960s).During the earliest decades from 1900 to the 1930s, suicide rates in the Armed Forces were mostly quite similar or moderately increased compared with the general population, but far lower than in merchant shipping. Following legislative changes in the last 30 years, suicide rates through poisoning by gases and through firearms or explosives have fallen sharply.

Conclusions: The study shows that suicide rates in the Armed Forces have been lower than in the general population over many decades. The sharp reductions in suicide rates over the last 30 years suggest the effectiveness of recent preventative measures, including reductions in access to a method of suicide and well-being initiatives.

Introduction: Combat-related traumatic injury (CRTI) has been linked to an increased cardiovascular disease (CVD) risk. The long-term impact of CRTI on heart rate variability (HRV)-a robust CVD risk marker-has not been explored. This study investigated the relationship between CRTI, the mechanism of injury and injury severity on HRV.

Methods: This was an analysis of baseline data from the ArmeD SerVices TrAuma and RehabilitatioN OutComE (ADVANCE) prospective cohort study. The sample consisted of UK servicemen with CRTI sustained during deployment (Afghanistan, 2003-2014) and an uninjured comparison group who were frequency matched to the injured group based on age, rank, deployment period and role in theatre. Root mean square of successive differences (RMSSD) was measured as a measure of ultrashort term HRV via <16 s continuous recording of the femoral arterial pulse waveform signal (Vicorder). Other measures included injury severity (New Injury Severity Scores (NISS)) and injury mechanism.

Results: Overall, 862 participants aged 33.9±5.4 years were included, of whom 428 (49.6%) were injured and 434 (50.3%) were uninjured. The mean time from injury/deployment to assessment was 7.91±2.05 years. The median (IQR) NISS for those injured was 12 (6-27) with blast being the predominant injury mechanism (76.8%). The median (IQR) RMSSD was significantly lower in the injured versus the uninjured (39.47 ms (27.77-59.77) vs 46.22 ms (31.14-67.84), p<0.001). Using multiple linear regression (adjusting for age, rank, ethnicity and time from injury), geometric mean ratio (GMR) was reported. CRTI was associated with a 13% lower RMSSD versus the uninjured group (GMR 0.87, 95% CI 0.80-0.94, p<0.001). A higher injury severity (NISS ≥25) (GMR 0.78, 95% CI 0.69-0.89, p<0.001) and blast injury (GMR 0.86, 95% CI 0.79-0.93, p<0.001) were also independently associated with lower RMSSD.

Conclusion: These results suggest an inverse association between CRTI, higher severity and blast injury with HRV. Longitudinal studies and examination of potential mediating factors in this CRTI-HRV relationship are needed.

Introduction: Primary healthcare (PHC) patient medical records contain Systematised Nomenclature of Medicine-Clinical Terms (SNOMED-CT) that include information regarding diagnosis, demographics and veterans' status. This study intended to identify, analyse and compare the prevalence of type 2 diabetes, hypertension, dementia and smoking tobacco in veterans and non-veterans, including stratification by age and gender.

Methods: The authors partnered with 13 PHC practices with a population of 137 410 patients. Staff extracted matched veteran and non-veteran SNOMED-CT data from patient medical records; then sent the authors anonymised data in an amalgamated format between October 2023 and January 2024. Patients were from a local community and therefore social and environmental factors would be similar. Submitted information was inputted into an SPSS database 28 for analysis which included descriptive and inferential statistics to indicate statistical significance.

Results: In total, 5458 PHC electronic records were examined comprising 2729 veterans and 2729 demographically matched for age and gender non-veterans. Each group contained 86.4% (N=2359) men and 13.6% (N=370) women. The mean age was 63.8 years (SD 17.7). Rates of hypertension were 20.9% in veterans compared with 17.6% in non-veterans (p=0.002). Type 2 diabetes mellitus was 8.3% in veterans compared with 6.4% in non-veterans (p=0.007). Dementia was 2.1% of veterans compared with 2.5% of non-veterans (p=0.32). Smoking was 11.8% of veterans compared with 10.6% of non-veterans (p=0.16).

Conclusion: These results reveal that veterans were statistically more likely to be diagnosed with hypertension and diabetes. This study should assist in a better understanding of the healthcare needs of the veteran population to potentially inform better patient-centred care. However, the effectiveness of using PHC patient medical records requires increased efforts to improve data quality which needs improved PHC staff knowledge, consistency in SNOMED-CT coding, better veteran medical e-record registration and coding and better data transmission between the Defence Medical Services and PHC.

Introduction: French paratroopers have been deployed during airborne operations for nearly a century. Parachute operations have increased since the start of Operations Serval and Barkhane in the Sahelo-Saharan strip. These military operations allow paratroopers to be dropped behind enemy lines. Our primary objective was to compare injuries sustained during airborne operations and training. Our secondary objective was to compare serious injuries sustained during airborne operations and training.

Methods: We conducted a multicentric comparative retrospective study of military parachuting injuries sustained during training and airborne operations from 1 January 2013 to 31 December 2020. Parachuting injuries included in our study came from the French Army Injury Register.

Results: During the study period, 91 injuries (among 90 wounded), including one death, were recorded during airborne operations and 2744 injuries (among 2516 wounded), including one death, were recorded during training. Proportionally, injuries were more common during airborne operations (3.3%) than training (0.3%), especially during military freefall operations. Operational static-line jumps are more associated with serious injuries than training ones (OR 3.17, 95% CI 1.79 to 5.62). Compared with training, operational jumps caused proportionally more knee injuries (OR 2.73, 95% CI 1.65 to 4.51, p=0.008) but fewer upper limb injuries (OR 0.36, 95% CI 0.17 to 0.74). A physician and/or nurse medically supported 83.3% of airborne operations. Data collection initially differed between paratrooper units until the French Army introduced a harmonised collection tool (Register of Parachuting Incidents (Fiche de Recueil Accident en Parachute)).

Conclusion: Our study highlights a significantly increased injury rate during airborne operations, especially serious ones, likely due to the cumulative effect of well-known parachuting risk factors (eg, unknown or high wind speed, unknown landing ground type, combat load and night drop), justifying surveillance by qualified parachuting health staff.

Mass casualty events (MASCAL) do not follow the same rules as typical major incidents. In the West at least, the latter often occur in stable, networked trauma systems, whereas MASCAL are characterised by overwhelming numbers of patients, compounded by protracted scene and transport times, decompensated response systems and significant disruption to infrastructure, command and control.This paper describes the 8Ds approach being taken by the UK Defence Medical Services and the North Atlantic Treaty Organization Emergency Medicine Panel framework to approach MASCAL. The eight domains were derived from literature about management of casualties in the World Wars, and also from approaches taken by civilian health systems as they struggle to manage increasing demand. They are: distribute; decompress; delay; delegate; deliver faster and deliver better; dynamic levels of care; and de-escalate These domains will allow a structured approach to research and innovate around MASCAL, informing better guidelines for their management.

Introduction: The purpose was to quantify physical performance in men and women during British Army Junior Entry (Army-JE), British Army Standard Entry (Army-SE) and Royal Air Force (RAF) basic training (BT).

Design: Prospective longitudinal study.

Methods: 381 participants ((339 men and 42 women) n=141 Army-JE, n=132 Army-SE, n=108 RAF) completed a 2 km run, medicine ball throw (MBT) and isometric mid-thigh pull (MTP), pre-BT and post-BT. To examine changes in pre-BT to post-BT physical test performance, for each course, paired Student t-test and Wilcoxon test were applied to normally and non-normally distributed data, respectively, with effect sizes reported as Cohen's D and with rank biserial correlations, respectively. A one-way between-subjects analysis of variance (ANOVA) (or Welch ANOVA for non-normally distributed data) compared performance between quartiles based on test performance pre-BT. Where the main tests statistic, p value and effect sizes identified likely effect of quartile, post hoc comparisons were made using Games-Howell tests with Tukey's p value. Data are presented as mean±SD, with statistical significance set at p<0.05.

Results: During BT, 2 km run time improved by 13±46 s (-2.1%±8.1%), 30±64 s (-4.8%±12.3%) and 24±27 s (-4.5%±5.1%) for Army-JE, Army-SE and RAF, respectively (all p<0.005). MBT distance increased by 0.27±0.28 m (6.8%±7.0%) for Army-JE (p<0.001) and 0.07±0.46 m (2.3%±10.9%) for Army-SE (p=0.040), but decreased by 0.08±0.27 m (-1.4%±6.0%) for RAF (p=0.002). MTP force increased by 80±281 n (10.8%±27.6%) for Army-JE (p<0.001) and did not change for Army-SE (-36±295 n, -0.7%±20.6%, p=0.144) or RAF (-9±208 n, 1.0±17.0, p=0.603). For all tests and cohorts, participants in the lowest quartile of pre-BT performance scores demonstrated greater improvements, compared with participants in the highest quartile (except Army-JE MBT, ∆% change similar between all quartiles).

Conclusions: Changes in physical performance were observed for the three fitness tests following the different BT courses, and recruits with the lowest strength and aerobic fitness experienced greatest improvements.

Introduction: This study describes deaths among Danish soldiers in international operations 2002-2018. Having been part of UN and later NATO forces in ex-Yugoslavia, in 2002 the first Danish contingent took part in the International Security Assistance Force mission in Afghanistan as well as Iraq. The changing role of the Danish military in international operations meant casualties, in numbers that had not yet been experienced, and necessitated a review of our procedures for handling fatalities in the military.

Methods: The study is a retrospective review of autopsy reports, Military Police reports and medical reports, and the purpose is to examine all Danish fatalities in international operations in 2002-2018 to identify potential areas of improving treatment and protection and to review the contribution of the autopsies. The mechanism of injury, the fatal injuries and causes of death and the time of death within the chain of evacuation were identified. Casualties dying at any time from site of injury until definitive care were included.

Results: A total of 53 soldiers died from injuries during international operations in the years 2002-2018. The majority of these (43) died from combat injuries and 10 from accidents. Four of the victims with combat injuries were not autopsied. The majority (36) of the combat deaths were caused by blast/explosions (improvised explosive devices, rocket propelled grenades, fragments), while 7 were caused by bullets. 39 combat victims died instantly on the site or at the arrival to the field hospital, 4 were treated in field hospital and 2 of these were transported back to Denmark.

Conclusions: Most combat fatalities result from fragmentation and blast injury. Forensic autopsies provide valuable information regarding injuries, weaponry, the efficiency of protective equipment and the quality of medical intervention in military fatalities and are recommended in all military fatalities in order to prevent avoidable casualties in the future.

Introduction: There remains uncertainty around the impact of war on the lifespan of First World War (WW1) veterans. In particular, study comparison groups do not typically consider the 'healthy soldier effect'.

Methods: We obtained lifespan data on a random sample of 857 war-exposed New Zealand WW1 veterans and compared this with lifespans of a non-war military cohort (n=1039). This comparison was possible as the non-war-cohort arrived in Europe too late to participate in the war, allowing a 'natural experiment' that avoided the 'healthy solider effect'.

Results: The lifespan comparisons indicated lower mean lifespan in the war-exposed veteran cohort compared with the non-war veteran cohort (69.7 vs 71.1 years; p=0.0405). This gap persisted (range: 0.8-1.1 years) but was no longer statistically significant when only considering the non-Māori ethnic grouping (nearly all European/Pākehā personnel), when excluding additional deaths in the immediate postwar period up to 31 December 1923, and when excluding participation in any other wars. This was the case in both analysis of variance and Cox proportional hazards regression adjusting for year of birth and occupational status. Within the war-exposed cohort, there were suggestive patterns of increasing lifespan with increasing occupational status and military rank (eg, 69.5, 70.0 and 70.7 mean years as group-level occupational status progressively increased). There were also stark differences in lifespan of 8.3 years between Māori (Indigenous) and non-Māori veterans (p=0.0083).

Conclusions: The pattern of reduced lifespan in war-exposed versus non-war-exposed veterans was compatible with a smaller previous New Zealand study with comparable methodology. Veterans who were Māori had significantly lower lifespans than non-Māori veterans. There are a number of feasible avenues to further improve this type of work with existing data sources.