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. 2023 Dec 13:11:1267581.
doi: 10.3389/fpubh.2023.1267581. eCollection 2023.

Deployment-related quarantining-a risk or resilience factor for German military service members? A prospective analysis during the third-fifth waves of COVID-19

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Deployment-related quarantining-a risk or resilience factor for German military service members? A prospective analysis during the third-fifth waves of COVID-19

Antje H Bühler et al. Front Public Health. .

Abstract

Background: Mandatory deployment-related quarantining added further constraints on soldiers during the pandemic. Contrary to overwhelming research documenting an adverse impact of quarantining on mental health, no adverse short-term mental health effects of pre-deployment quarantining for German soldiers were identified. Therefore, we are interested in a potentially delayed onset, the impact of an additional post-deployment quarantine, and quarantine-associated risk and resilience factors predicting mental health post-deployment.

Methods: In a prospective research design, 928 German soldiers enrolled in the study at the in-processing of pre-deployment quarantine between February 2021 and March 2022. Every German military service member undergoing pre-deployment quarantine could participate. The soldiers were between 18 and 64 years old; 87.5% identified as male and 12.5% as female. Self-reported mental health (Mini-SCL), perceived social support (FSozU-K22), and perceived unit cohesion were assessed three to five times: at the beginning and the end of pre-deployment quarantine (Nt1 = 928, Nt2 = 907), if still mandatory-at the beginning and the end of post-deployment quarantine (Nt3 = 143 and Nt4 = 132), and 3 months post-deployment, on average 7 to 8 months later than pre-deployment quarantine (Nt5 = 308). The analyzed quarantine-associated risk and resilience factors were informedness about COVID-19, infection risk, quarantine benefit, clarity of quarantine protocol, need for intimacy/bonding, norms, stigma, practicality, financial disadvantages, boredom, and health-promoting leadership.

Results: Despite four different mental health trajectories identified, repeated measures ANOVAs revealed a significant improvement in mental health post-deployment (F[2,265] = 21.54, p < 0.001), a small decrease in social support (F[2,266] = 16.85, p < 0.001), and no significant changes in unit cohesion (F[2,264] = 0.482, p = 0.618) 3 months post-deployment. Using stepwise regression, 24% of variance in mental health symptomatology post-deployment is predicted pre-deployment by a clear quarantine protocol, unit cohesion, intimacy/bonding, and social support (F[4,263] = 22.23, p < 0.001). In total, 30% of mental health at the end of post-deployment quarantine is predicted by stigma and a clear quarantine protocol (F[2,99] = 22.22, p < 0.001).

Conclusion: Although no overall adverse impact of quarantining on mental health was found, it is recommended to address perceived stigma and clearly communicate the quarantine protocol, and to further follow up on the perceived decrease in social support.

Keywords: mental health; military culture; military deployment; quarantine; risk and resilience factors.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
General and quarantine-specific risk and resilience factors which can be addressed by organizational health policy and military leadership (for definitions of the specific factors, please consult the glossary in Supplementary material 1).
Figure 2
Figure 2
Mental health (Mini-SCL/GSI) across the deployment cycle: pre-deployment quarantine and 3 months post-deployment. t1 = beginning of pre-deployment quarantine, t2 = end of pre-deployment quarantine, t5 = 3 months post-deployment.
Figure 3
Figure 3
Perceived social support across the deployment cycle: pre-deployment quarantine and 3 months post-deployment. t1 = beginning of pre-deployment quarantine, t2 = end of pre-deployment quarantine, t5 = 3 months post-deployment.
Figure 4
Figure 4
Individual level line plot of all patients for Mini-SCL (GSI). Each line gives the trajectory of an individual over time, with the x-axis representing the points in time t1, t2, and t5, and the y-axis representing the corresponding values. The lines are color-coded to differentiate between groups: improvement (A), stable (B), and deterioriation (C), with the highlighted group plotted in red and all other trajectories coloured in grey.
Figure 5
Figure 5
Subgroup analysis of patients with stable trajectories for Mini-SCL (GSI). Points in time T1, T2, and T5 are indicated on the x-axis with corresponding values on the y-axis. Out of all patients identified as stable, two subgroups are highlighted in red: high chronic stable (A) and resilient (B), with other trajectories coloured in grey, respectively.
Figure 6
Figure 6
Mental health (Mini-SCL/GSI) across pre- and post-deployment quarantine pre-deployment quarantine: t1 = beginning, t2 = end; post-deployment quarantine: t3 = beginning, t4 = end.
Figure 7
Figure 7
Perceived social support (FSozU-K22) across pre- and post-deployment quarantine pre-deployment quarantine: t1 = beginning, t2 = end; post-deployment quarantine: t3 = beginning, t4 = end.

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References

    1. Kather T. Würdigungsappell im BendlerblockCorona-Amtshilfe der Bundeswehr: Zum Wohl des Landes. Berlin, Germany: (2022).
    1. Spinney L. Pale rider: The Spanish flu of 1918 and how it changed the world Jonathan Cape; (2017).
    1. Eppinger M, Pearson T, Koenig SS, Pearson O, Hicks N, Agrawal S, et al. . Genomic epidemiology of the Haitian cholera outbreak: a single introduction followed by rapid, extensive, and continued spread characterized the onset of the epidemic. MBio. (2014) 5:e01721. doi: 10.1128/mBio.01721-14, PMID: - DOI - PMC - PubMed
    1. Hendriksen RS, Price LB, Schupp JM, Gillece JD, Kaas RS, Engelthaler DM, et al. . Population genetics of Vibrio cholerae from Nepal in 2010: evidence on the origin of the Haitian outbreak. MBio. (2011) 2:e00157–11. doi: 10.1128/mBio.00157-11, PMID: - DOI - PMC - PubMed
    1. Lantagne D, Balakrish Nair G, Lanata CF, Cravioto A. The cholera outbreak in Haiti: where and how did it begin? Curr Top Microbiol Immunol. (2014) 379:145–64. doi: 10.1007/82_2013_331 - DOI - PubMed

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