Background
Responses to a potentially traumatic event span a wide range from increased stress to mental disorders, such as depression, post-traumatic stress disorder, other anxiety disorders or addiction.Reference Zvolensky, Farris, Kotov, Schechter, Bromet and Gonzalez1 Numerous publications focus on the psychological effects of disasters on emergency responders, but the systematic investigation of differences between genders or occupational groups is comparatively limited.Reference Neria, Nandi and Galea2 Indeed, the psychological reactions of emergency personnel exposed to terror attacks in Europe have until now rarely been examined.Reference Skogstad, Heir, Hauff and Ekeberg3–Reference Motreff, Baubet, Pirard, Rabet, Petitclerc and Stene5 However, understanding these differences is necessary for the development of specific preparation and follow-up tools. In particular, gender differences are of interest in addressing health inequalities in pre- and post-mission outcomes.
In military contexts, computer-based prevention programs that are target group-specific can be used during preparation for foreign missions; in the USA, the ‘Stress Resilience in Virtual Environments Program’ (STRIVE) was developed for this purpose.Reference Rizzo, Buckwalter, John, Newman, Parsons and Kenny6 STRIVE is specific to target group and deployment, although not adaptive because of its fixed programmed scenarios. In Germany, the ‘Chaos Driven Situation Management Retrieval System’ (CHARLY) was recently launched. CHARLY is a blended learning program that has already been made available for certain military professions, such as paramedics or ordnance technicians, and has demonstrated a specific preventive effect on post-traumatic stress disorder.Reference Wesemann, Kowalski, Jacobsen, Beudt, Jacobs and Fehr7 Similarly, specific programs would be useful for emergency personnel.
Research findings after the 2016 terrorist attack in Berlin
In order to examine whether the efforts to investigate occupation- and gender-specific differentiation is warranted, an explorative pilot study was conducted after the 2016 terrorist attack in Berlin, when a tractor-trailer was steered into a crowd at the Breitscheidplatz Christmas market. This was the first Islamist terrorist attack in Germany in which more people died than the perpetrator himself. In total, 12 people were killed and another 55 injured. Initial cross-sectional analyses found occupational and gender differences; notably, female personnel showed higher paranoid ideation.Reference Wesemann, Bühler, Mahnke, Butler, Polk and Willmund8 Although the results regarding the occupational groups have been replicated (U. Wesemann, personal communication, 2020), those regarding gender-specific differences in paranoid ideation are still provisional and no conclusive explanation for this difference is given. A meta-analysis showed a robust association between paranoid ideation and violence in the general population, and this association remained stable when controlling for drug misuse or other psychiatric comorbidities.Reference Coid, Ullrich, Bebbington, Fazel and Keers9 Regarding gender differences, the theory of tokenism predicts gender stereotypes and harassment in organisations where women are underrepresented.Reference Kanter10 This theory seems to be of particular relevance in organisations where length of employment is shorter for women,Reference Wilson11 which is often the case in emergency services such as fire brigades. Indeed, sexual assaults on women are more common in male-dominated occupations,Reference Kabat-Farr and Cortina12 which could increase vulnerability to paranoid ideation. Therefore, this confirmation study aims to repeat these gender-specific findings, with the hypothesis of more pronounced paranoid ideation among exposed female emergency personnel.
Method
All emergency personnel from the fire brigade, police, non-governmental organisations and civil rescue services deployed to respond to the terror attack at Breitscheidplatz in Berlin were given the opportunity to participate in the study (exposed group). A comparison group comprised personnel from the same units who had not responded to the attack. The recruitment was conducted with the consent of the organisations. Task force leaders were informed about the study and invited to participate. If task force leaders agreed, brief information sessions were held for the respective units, and attendees were informed about the purpose of the study. Participation in the information sessions and the study was voluntary, and written informed consent was given by all participants. The study was approved by the Ethics Committee of the Charité. The first survey was distributed 3–4 months after the attack, and a second measurement was conducted 18 to 21 months after the first survey. Participants received the questionnaires in the mail.
A total of n = 120 volunteers participated at the first time point, 60 in the exposed group and 60 in the comparison group. At the second time point, 39 individuals from the exposed group and 33 from the comparison group responded. All deployed personnel had been on site with the exception of a dispatcher. Gender and occupational group distributions are shown in Table 1.
NGO, non-governmental organisation; PSNV, Psychosocial Emergency and Crisis Network (Psychosoziale Notfallversorgung);
a. Excluded from occupational affiliation because of data protection reasons.
Data collection consisted of questionnaires including demographics and the Brief Symptom Inventory (BSI) to evaluate paranoid ideation. The BSI consists of five items that assess aspects of mistrust up to strong paranoid ideation on a five-point Likert scale.Reference Derogatis and Melisaratos13
Statistical analyses were conducted with SPSS (Version 21). Missing values at the second time point were imputed using the baseline-observation-carried-forward method. To test for drop-out bias, two-sample t-tests were conducted for metric parameters and Pearson χ2 was calculated for categorial parameters. Using linear regression, the exposed group and comparison group were tested separately to test whether gender had an influence on paranoid ideation. Participants who indicated their gender as ‘other’ were excluded, as the small number (n = 1) would not have allowed for meaningful evaluation. In order to check whether the occupational group had an influence on paranoid ideation, a Kruskal–Wallis H-test was carried out within deployed female personnel. Additionally, differences in change in paranoid ideation between the exposed group and comparison group were examined using a single-factor repeated measures ANOVA (rmANOVA) with a Bonferroni post hoc test.
Results
There were no significant differences between the completers and those who dropped out (Table 2). Linear regression analysis revealed a significant influence of gender on paranoid ideation within the exposed group, F(1,57) = 11.6, P = 0.001, R 2 = 0.17, β = 0.41, with female personnel scoring higher. This influence was not seen within the comparison group, F(1,58) = 3.1 (not significant). Similar results were found 2 years after the attack: female personnel in the exposed group continued to report higher paranoid ideation, F(1,57) = 8.9, P = 0.004, R 2 = 0.14, β = 0.37. This influence was absent in the comparison group, F(1,57) = 1.6 (not significant). rmANOVA revealed an interaction effect in paranoid ideation, F(1, 115) = 5.0, P = 0.027, ƞ² = 0.04; compared with all other participants, paranoid ideation increased significantly among exposed female personnel. This interaction effect remained when directly comparing only female personnel of each group, F(1, 37) = 4.2, P = 0.047, ƞ² = 0.103, with a significant increase in paranoid ideation in exposed female personnel. Finally, a Kruskal–Wallis H-test carried out within deployed female personnel showed that there was no statistically significant difference in paranoid ideation score between the different occupation groups, χ²(3) = 1.92, P = 0.589.
Cisgender: χ²(1, n = 119) <1; not significant.
Discussion
The current study replicated the results of the pilot study. The finding that gender influences paranoid ideation following terror attacks or catastrophes has, to our knowledge, not been replicated in other studies since, but studies relating high-risk occupations to paranoid ideation are so far inconsistent. For example, medical prison staff reported higher paranoid ideation than the general population,Reference Liu, Jiang, Hou, He, Lu and Mao14 but veterans deployed to the Gulf War did not differ from a matched comparison group of soldiers.Reference Ishoy, Knop, Suadicani, Guldager, Appleyard and Gyntelberg15 However, these studies did not control for gender, and although in the sample of medical prison staff, the proportion of female employees (53.6%) may have driven this difference, among the sample of Gulf War veterans, only 3.1% were women. Thus, future research may consider gender-specific evaluations, or controlling for gender when comparing different studies.
As a result of limitations of this study, the results should be interpreted carefully. The sample size for the subgroup analysis was small, and because of a drop-out rate of 40%, some data had to be imputed at the second time point, which notably restricts interpretation of the effects seen after 2 years. Further, because of the small sample size, direct comparison between female personnel in the exposed group and comparison group was only carried out over time. Also, approximately 90% of the female control group are police, limiting representativeness. Nevertheless, occupational group differences for paranoid ideation were ruled out for deployed female emergency responders.
Despite these limitations, the replication of the results of the pilot study provides an indication of gender-specific effects. The current study suggests that there is an elevated need for improvement in health-related gender equality. Our results could be used for the development of a gender-specific module before and after the deployment.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgements
We would like to thank Charlyn Löpke from the Bundeswehr Hospital Berlin for supporting our work.
Author contribution
U.W.: conception of the work, analysis and interpretation of data for the work, drafting the work, approval of the final version and agreement to be accountable for all aspects of the work. M.M.: acquisition of data for the work, revising the work, approval of the final version and agreement to be accountable for all aspects of the work. S.P.: interpretation of data for the work, revising the work, approval of the final version and agreement to be accountable for all aspects of the work. G.W: conception of the work, analysis and interpretation of data for the work, drafting the work, approval of the final version and agreement to be accountable for all aspects of the work.
Declaration of interest
None.
ICMJE forms are in the supplementary material, available online at https://doi.org/10.1192/bjo.2020.57.
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