Literature DB >> 23355659

Police officers: a high-risk group for the development of mental health disturbances? A cohort study.

Peter G van der Velden1, Arthur R Rademaker, Eric Vermetten, Marie-Anne Portengen, Joris C Yzermans, Linda Grievink.   

Abstract

OBJECTIVES: Policing is generally considered a high-risk profession for the development of mental health problems, but this assumption lacks empirical evidence. Research question of the present study is to what extent mental health disturbances, such as (very) severe symptoms of anxiety, depression and hostility are more prevalent among police officers than among other occupational groups.
DESIGN: Multicomparative cross-sectional study using the data of several cross-sectional and longitudinal studies in the Netherlands. PARTICIPANTS: Two samples of police officers (N=144 and 503), employees of banks (N=1113) and employees of banks who were robbed (N=144); employees of supermarkets (N=335), and a psychiatric hospital (N=219), employees of a governmental social welfare organisation (N=76), employees who followed a training based on rational-motive therapy to strengthen their assertiveness (N=710), soldiers before deployment (N=278) and before redeployment (N=236) and firefighters (N=123). The numbers refer to respondents with complete data. PRIMARY OUTCOMES: Prevalence of severe (subclinical level) and very severe symptoms (clinical level) were computed using the Dutch norm tables (80th percentile and 95th percentile, respectively) of the Symptom Check List Revised (SCL-90-R). All comparisons were controlled for age, gender and education.
RESULTS: Multivariate logistic regression and analyses showed that the prevalence of clinical and subclinical levels of symptoms of anxiety, depression and hostility among police officers were not significantly higher than among comparison groups. The same pattern was found for the other SCL-90-R subscales.
CONCLUSIONS: We found no indications that self-reported mental health disturbances were more prevalent among police officers than among groups of employees that are not considered high-risk groups, such as employees of banks, supermarkets, psychiatric hospital and soldiers before deployment.

Entities:  

Year:  2013        PMID: 23355659      PMCID: PMC3563131          DOI: 10.1136/bmjopen-2012-001720

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


It is generally assumed that police officers, due to the specific nature of their work, are at (high) risk for the development of mental health problems. The results of the very limited number of studies that compared the mental health of officers with one or two comparison groups suggest that this assumption needs further proof. To assess this assumption, clinical as well as subclinical levels of mental health problems of officers were compared with nine other occupational groups while controlling for demographics. In contrast to this generally held belief, officers did not report more (serious) mental health problems than any of the other examined groups in our multicomparative study. The protective effects of self-selection, the resilience of police officers and a rigorous selection process of recruits might be an explanation of the relatively low prevalence rates of mental health disturbances. To the best of our knowledge, this is the first multicomparative study examining to what extent clinical as well as subclinical levels of symptoms of anxiety, depression and hostility are more prevalent among police officers than among people in other occupations, while controlling for demographics. We did not conduct clinical interviews. Police officers are commonly considered to be a high-risk group for the development of mental health disturbances because of the various critical incidents and potential traumatic events they encounter during their career. These so-called operational stressors, such as witnessing the death of children, confrontations with victims of sexual harassment, serious traffic accidents, suicide and experiencing violence, might increase the risk of symptoms of anxiety, hostility and fatigue. A (small) minority may develop mental disorders, such as depression and post-traumatic stress disorder (PTSD).1–4 However, research in the past 20 years among police officers has shown that organisational stressors such as conflicts, work load and lack of support are more likely to be adverse sources of stress than operational stressors. In other words, although police officers are more frequently confronted with critical incidents than for example employees of banks or supermarkets, organisational stressors—which are not specific for the police—appear to have more impact on health and well-being than (daily) operational stressors.2 5–7 This may explain the outcomes of a study8 in the UK which ranked 26 professions according to their scores on general psychological well-being and physical health. The rank orders for police officers was 9th and 11th, with the first place denoting the professional occupation with the highest absolute mean score of health problems. Teachers, a professional group that is not typically associated with frequent exposure to potential traumatic stressors, ranked second on both well-being and physical health. Similarly, an earlier smaller Australian comparative study reported that police officers showed significantly more favourable levels of well-being and psychological distress than school teachers and the general population (ie, Australian norm scores).9 However, to the best of our knowledge there is no, peer reviewed—published multicomparative study that (1) statistically examined differences in symptom levels between the police and several other occupational groups while also controlling for confounding factors such as age, gender and education and (2) focused on specific mental health disturbances including subclinical and clinically relevant levels of symptoms of anxiety, depression and hostility. The aim of this comparative study was to explore self-reported mental health of police officers compared to members of other professions, to investigate whether there are empirically based indications that policing may be considered a high-risk profession for the development of mental health disturbances.

Methods

Samples and procedures

In the present study we compared police officers with nine other occupational groups. The presented numbers of each group refer to the number of respondents of each study group with complete data. We compared the health of two samples of officers (Ngroup1=144 and Ngroup2=503) with other occupational groups. Group 1 consisted of police officers working in the eastern part of the Netherlands (region department North and East Gelderland, response=60%).10 This group was originally selected in 2002 to provide reference data for group 2 to examine the consequences of the disaster and other critical incidents on health. Group 2 consisted of police officers who were involved in the Enschede fireworks disaster and its aftermath (The Netherlands, 2000), and participated in a survey 4 years postevent (2004, response=80.5%).5 At that time, only one officer (0.2%) suffered from probable disaster-related PTSD. These studies were conducted on behalf of the Dutch Ministry of Health, Welfare and Sports. We compared the two groups of officers with the following non-clinical groups of employees participating in various Dutch studies on health and critical incidents at work. Furthermore, data from group 6 were obtained to evaluate a training programme (see below). The year of data gathering is presented between brackets and funding for each study will be described. This study is a clear example of a data-sharing research project of the researchers involved. Groups 3 and 4 (1991): A nationwide sample of 1257 front office employees of savings banks, of whom 11.5% experienced one or more bank robberies (Ngroup3=1113 and Ngroup4=144, respectively, response=71%).11 This cross-sectional study was conducted on behalf of a Savings Banks Association, the Netherlands. Group 5 (1996): A random sample of mental health care professionals, that is, nurses and therapists of a psychiatric hospital (N=219 and response=70%).12 This cross-sectional study was conducted on behalf of a Psychiatric Hospital. Group 6 (1997–1998): Random sample of employees of various organisations, before participating in a Rational-motive therapy (RET) training (N=710, response=74%)13 aimed at improving their assertiveness and well-being. The cross-sectional study was conducted on behalf of a training institute in the Netherlands. Groups 7 and 8 (2005–2007): Sample of 524 soldiers from a larger prospective cohort study on stress-related disorders who were assessed prior to a 4-month deployment to Afghanistan of whom 241 were deployed before (Ngroup7=278 and Ngroup8=236, respectively, response=82.5%),14 conducted on behalf of the Dutch Ministry of Defense. Group 9 (2002): Firefighters from the Utrecht firefighters department (N=123, response=48%).15 This cross sectional study was conducted on behalf of the Dutch Ministry of Health, Welfare and Sport. Group 10 (1995): Employees of a governmental social welfare organisation in the Western part of the Netherlands, who had direct contact with clients of the organisation (N=76, response=65%).16 This cross-sectional study was conducted to finish the Occupational Physician education programme of the researcher. Group 11 (1996): A nationwide random sample of employees of local supermarkets (N=335, response=88%).17 This cross-sectional study was conducted on behalf of a large supermarket organisation in the Netherlands. All participants in the studies mentioned above, received written information about the scientific study aims. None of the funding organisations mentioned above were involved in the present study design, analyses and manuscript.

Measures

Besides questions regarding age, gender and education, respondents of all groups, except for group 11, completed the total Symptom Check List Revised (SCL-90-R).18 19 This instrument uses a five-point Likert scale (from 1, ‘not at all’ to 5, ‘extremely’) and assesses symptoms over the previous 7 days. The validity and reliability of the Dutch SCL-90-R have proven to be satisfactory.19 The Dutch cut-off scores19 from 1986 for males and females of a normal population were used to identify participants with (1) at least severe symptoms of anxiety, depression, sleeping problems and hostility (80th percentile) and (2) with very severe symptoms (95th percentile) that are clinically relevant and may be indicative for a mental disorder. Group 11 was administered a brief scale consisting of 17 random items of the SCL-90-R. Our control analyses showed that the sum score of the 17 items correlated highly with the total score of the SCL-90-R across several samples (r>0.95). Education levels differed slightly across studies. We therefore made a distinction between those with high education levels (university and higher professional education) versus low-to-medium level (all other levels).

Data analyses

Differences in demographics were assessed using χ2-statistics. Multivariate logistic regression analyses were used to examine to what extent very severe symptoms and severe symptoms were more prevalent among police officers, while controlling for age, gender and education level. Two composite variables on mental health were computed. The first composite variable was based on whether respondents reported very severe anxiety, very severe depression and/or very severe hostility symptoms or did not report very severe symptoms on any of these three scales. A similar composite variable was based on severe symptoms. The multivariate logistic regression analyses were repeated with these composite variables as dependent variables, and group membership, age, gender and education as independent variables (predictors). Analysis of variance (ANOVA) was used to examine differences in mean scores on the sum score of 17 items between groups 1, 2 and 11 while controlling for the same possible confounding factors. SPSS V.18.0 was used to perform the analyses.

Results

The demographics are shown in table 1. χ2-Statistics indicated that study groups differed in gender (χ2=897.6, df=9, p<0.001), age (χ2=798, df=18, p<0.001) and educational level (χ2=852.4, df=9, p<0.001).
Table 1

Gender, age and education level of study groups*

Gender (%)
Age, years (%)
Education (%)
NMalesFemales18–3031–4546–65Low mediumHigh medium
1 Police officers14486.113.94.947.947.296.53.5
2 Police officers50388.711.36.056.537.691.78.3
3 Bank employees, not victim robbery111334.165.948.738.313.081.019.0
4 Bank employees, victim robbery14447.352.737.844.617.679.120.9
5 Psychiatric hospital employees21937.962.141.647.511.061.638.4
6 Trainees AT71068.231.829.057.913.133.866.2
7 Soldiers, not deployed before27887.812.281.314.74.088.811.2
8 Soldiers, deployed before23694.55.543.643.213.185.214.8
9 Firefighters12396.73.317.139.043.994.35.7
10 Social welfare7640.859.215.850.034.242.157.9
11 Supermarkets33556.143.910086.613.4
Total388561.538.541.940.917.274.125.9

*Demographic characteristics of respondents with complete data.

AT, Assertiveness Training.

Gender, age and education level of study groups* *Demographic characteristics of respondents with complete data. AT, Assertiveness Training. The prevalence's of very severe symptoms (95th percentile) are presented (except for group 11) in table 2, as well as the adjusted ORs(Adj. ORs) and the 95% CI. In table 3, similar statistics are presented with respect to severe symptoms (80th percentile). A table of the bivariate ORs is available on request (see appendix A1).
Table 2

Differences in prevalence of severe anxiety, depression and/or hostility symptoms (scores 80th centile) between study groups (N=3550)

Severe anxiety symptoms
Severe depression symptoms
Symptoms
Adj.
Adj.
Symptoms
Adj.
Adj.
N%OR95% CIp ValueOR95% CIp ValueN%OR95% CIp ValueOR95 CIp Value
Groups
 Police officers 1 (Ref.)96.21    1711.81  
 Police officers 2 (Ref. second column)173.40.540.24 to 1.240.151  265.20.410.22 to 0.790.01 
 Bank empl., not victim robbery807.21.520.73 to 3.170.262.821.61 to 4.920.0013412.01.260.72 to 2.200.413.101.97 to 4.890.00
 Bank empl., victim robbery3221.65.242.37 to 11.590.009.715.14 to 18.350.003120.92.351.22 to 4.520.015.763.25 to 10.190.00
 Psychiatric hospital empl.2210.02.321.01 to 5.300.054.312.19 to 8.480.003616.41.820.96 to 3.460.074.502.59 to 7.820.00
 Trainees AT16122.75.982.89 to 12.350.0011.276.53 to 19.440.0025736.24.832.77 to 8.440.0011.987.62 to 18.820.00
 Soldiers, not deployed before176.11.020.43 to 2.420.971.910.93 to 3.930.08207.20.600.29 to 1.210.151.470.78 to 2.750.23
 Soldiers, deployed before125.10.850.34 to 2.090.721.580.74 to 3.410.24187.60.630.31 to 1.290.211.560.83 to 2.920.17
 Firefighters54.10.620.20 to 1.890.401.140.41 to 3.140.811613.01.080.52 to 2.240.842.601.35 to 5.030.00
 Social welfare1317.14.321.72 to 10.880.008.043.64 to 17.770.001722.42.561.20 to 5.470.026.253.14 to 12.450.00
Education
 Low medium (Ref.)2318.91 1  33613.01 1 
 High medium13714.30.770.59 to 1.010.060.750.57 to 0.980.0323624.61.000.80 to 1.260.990.990.79 to 1.240.90
Age
 18–30 Ref.)1279.81  1  19515.11 1 
 31–3516810.60.850.60 to 1.210.360.830.58 to 1.180.2926616.70.860.64 to 1.150.310.810.60 to 1.100.17
 46–657310.90.730.54 to 1.000.050.720.52 to 0.990.0411116.60.760.58 to 0.990.040.720.55 to 0.940.02
Gender
 Males (Ref.)24010.91  1  37116.81 1 
 Females1289.50.700.53 to 0.910.010.710.54 to 0.930.0120114.90.720.58 to 0.900.000.720.58 to 0.910.01

Severe hostility symptomsSevere symptoms composite variable
Symptoms
Adj.
Adj.
Symptoms
Adj.
Adj.
N%OR95% CIp ValueOR95% CIp ValueN%OR95% CIp ValueOR95 CIp Value

Groups
 Police officers 1 (Ref.)1611.11    2618.11  
 Police officers 2 (Ref. second column)336.60.570.30 to 1.060.081 499.70.490.29 to 0.830.011
 Bank empl., not victim robbery15013.51.680.96 to 2.960.072.971.96 to 4.500.0023621.21.490.94 to 2.380.093.052.15 to 4.330.00
 Bank empl., victim robbery3020.32.621.34 to 5.100.004.622.68 to 7.980.004933.12.661.52 to 4.640.005.433.42 to 8.630.00
 Psychiatric hospital empl.2913.21.740.89 to 3.400.103.071.78 to 5.310.005223.71.781.03 to 3.080.043.662.34 to 5.720.00
 Trainees AT22431.55.062.86 to 8.940.008.965.90 to 13.590.0032846.24.662.90 to 7.490.009.596.71 to 13.710.00
 Soldiers, not deployed before5620.11.830.98 to 3.420.063.251.99 to 5.300.006623.71.260.74 to 2.140.402.591.68 to 3.990.00
 Soldier, deployed before4418.61.730.93 to 3.250.083.071.87 to 5.020.005222.01.200.70 to 2.050.502.471.60 to 3.810.00
 Firefighters1713.81.200.58 to 2.490.632.131.14 to 3.970.022520.31.090.59 to 2.010.792.211.30 to 3.750.00
 Social welfare1722.43.621.68 to 7.820.006.423.30 to 12.510.002127.62.311.17 to 4.530.024.712.58 to 8.590.00
Education
 Low medium (Ref.)41916.21 1  59122.81  1
 High medium19720.50.700.55 to 0.880.000.690.55 to 0.870.0031332.60.850.69 to 1.030.100.840.69 to 1.020.08
Age
 18–30 (Ref.)23418.11 1  34626.71  1
 31–3527617.41.120.84 to 1.490.461.130.84 to 1.510.4340325.41.110.87 to 1.440.401.080.84 to 1.400.55
 46–6510615.90.920.71 to 1.200.550.940.72 to 1.230.6515523.20.900.71 to 1.130.350.870.69 to 1.100.25
Gender
 Males (Ref.)43319.71 1  69827.11  1
 Females18313.60.550.44 to 0.680.000.550.44 to 0.690.0030622.70.630.52 to 0.770.000.640.53 to 0.780.00

*Anxiety and/or depression and/or hostility.

Adj. OR, OR adjusted for all study variables; AT, Assertiveness Training; empl., employee; Ref., reference group.

Table 3

Differences in prevalence of very severe anxiety, depression and/or hostility symptoms (scores 95th centile) between study groups (N=3550)

Very severe anxiety symptoms
Very severe depression symptoms
Symptoms
Adj.
Adj.
Symptoms
Adj.
Adj.
N%OR95% CIp ValueOR95% CIp ValueN%OR95% CIp ValueOR95% CIp Value
Groups
 Police officers 1 (Ref.)21.41   21.41   
 Police officers 2 (Ref. second column)30.60.410.07 to 2.500.341 61.20.860.17 to 4.320.861 
 Bank empl., not victim robbery90.80.730.15 to 3.560.691.740.45 to 6.780.42302.72.090.48 to 9.030.332.410.96 to 6.020.06
 Bank empl., victim robbery74.74.080.81 to 20.620.099.812.44 to 39.500.00138.87.221.58 to 33.110.018.353.06 to 22.800.00
 Psychiatric hospital empl.10.50.380.03 to 4.410.440.910.09 to 9.120.94135.94.921.07 to 22.710.045.682.06 to 15.640.00
 Trainees AT324.53.200.70 to 14.530.137.672.18 to 27.040.00699.78.391.97 to 35.670.009.704.02 to 23.440.00
 Soldiers, not deployed before20.70.540.07 to 4.140.551.300.20 to 8.380.7810.40.220.02 to 2.520.220.260.03 to 2.190.21
 Soldiers, deployed before00.0NA   20.80.560.08 to 4.090.570.650.13 to 3.300.61
 Firefighters00.0NA   21.61.120.15 to 8.060.911.300.26 to 6.520.75
 Social welfare11.31.040.09 to 12.240.972.500.25 to 25.410.4445.34.630.81 to 26.490.085.341.43 to 19.960.01
Education
 Low medium (Ref.)291.11   823.21   
 High medium282.91.190.64 to 2.210.581.200.64 to 2.240.56606.20.870.59 to 1.300.500.870.59 to 1.300.51
Age
 18–30 (Ref.)161.21   524.01   
 31–35322.00.980.40 to 2.420.960.990.39 to 2.490.98674.21.180.68 to 2.040.561.180.68 to 2.050.57
 46–6591.31.150.53 to 2.49.721.160.52 to 2.590.71233.40.930.56 to 1.530.760.920.56 to 1.540.76
Gender
 Males (Ref.)411.91   863.91   
 Females161.20.610.32 to 1.170.140.620.32 to 1.190.15564.20.790.53 to 1.180.250.800.54 to 1.190.27

Very severe hostility symptomsVery severe symptoms composite variable
Symptoms
Adj.
Adj.
Symptoms
Adj.
Adj.
N%OR95% CIp ValueOR95% CIp ValueN%OR95% CIp ValueOR95% CIp Value

Groups
 Police officers 1 (Ref.)21.41   32.11    
 Police officers 1 (Ref. second column)51.00.730.14 to 3.790.701 71.40.670.17 to 2.620.561  
 Bank empl., not victim robbery282.51.670.38 to 7.310.502.250.83 to 6.120.11514.62.310.70 to 7.640.173.421.50 to 7.780.00
 Bank empl., victim robbery96.14.410.92 to 21.200.065.971.92 to 18.540.001912.87.162.04 to 25.100.0010.634.31 to 26.210.00
 Psychiatric hospital empl.73.22.400.48 to 12.070.293.230.98 to 10.650.05167.34.021.13 to 14.360.035.952.36 to 15.050.00
 Trainees AT446.25.711.32 to 24.720.027.712.90 to 20.490.009613.58.382.55 to 27.510.0012.435.55 to 27.830.00
 Soldiers, not deployed before72.51.260.25 to 6.420.781.700.51 to 5.720.3982.91.120.29 to 4.430.871.670.58 to 4.820.34
 Soldiers, deployed before41.71.020.18 to 5.750.991.380.36 to 5.300.6462.51.100.27 to 4.540.891.640.54 to 5.000.38
 Firefighters21.61.070.15 to 7.760.941.490.28 to 7.780.6432.41.110.22 to 5.590.901.660.42 to 6.510.47
 Social welfare79.29.201.81 to 46.910.0112.573.73 to 42.400.00911.87.681.97 to 29.890.0011.414.01 to 32.450.00
Education
 Low medium (Ref.)783.01 1 1345.21    
 High medium373.90.620.39 to 0.990.050.620.39 to 0.990.05848.70.790.56 to 1.100.160.790.56 to 1.100.16
Age
 18–30 (Ref.)534.11 1 886.81    
 31–35442.81.560.85 to 2.850.151.670.89 to 3.110.11966.01.280.82 to 2.020.281.310.83 to 2.060.25
 46–65182.70.870.49 to 1.540.630.950.52 to 1.720.86345.10.920.60 to 1.390.690.940.61 to 1.440.77
Gender
 Males (Ref.)663.01 1 1305.91 1  
 Females493.60.870.55 to 1.350.530.880.56 to 1.370.56886.50.810.58 to 1.120.200.810.59 to 1.130.22

*Anxiety and/or depression and/or hostility.

Adj. OR, OR adjusted for all study variables; AT, Assertiveness Training; empl., employee; NA, not applicable because the prevalence of very severe anxiety symptoms among firefighter is zero; Ref., reference group.

Differences in prevalence of severe anxiety, depression and/or hostility symptoms (scores 80th centile) between study groups (N=3550) *Anxiety and/or depression and/or hostility. Adj. OR, OR adjusted for all study variables; AT, Assertiveness Training; empl., employee; Ref., reference group. Differences in prevalence of very severe anxiety, depression and/or hostility symptoms (scores 95th centile) between study groups (N=3550) *Anxiety and/or depression and/or hostility. Adj. OR, OR adjusted for all study variables; AT, Assertiveness Training; empl., employee; NA, not applicable because the prevalence of very severe anxiety symptoms among firefighter is zero; Ref., reference group. Results clearly show that both groups of police officers are relatively healthy: the proportion of officers with very severe symptoms of anxiety, depression and hostility is extremely low (≤1.4%). Compared to all other study groups, police officers had similar or lower prevalence of clinical levels of mental health problems according to the  Adj. ORs. When using a less strict criterion of subclinical levels, that is, at least severe symptoms instead of very severe symptoms according to the norm tables, the groups of officers still ranked as groups with relatively low prevalence rates. Furthermore, the proportion of officers with severe or very severe symptoms of anxiety or depression or hostility (ie, composite variables) was not significantly higher than among other groups. Additional analyses showed similar patterns with respect to the other subscales of the SCL-90-R (data not shown). The results of ANOVA (Fmain=25.5, df=2, p<0.001) and post hoc analyses reveal the 2004 sample of police officers to exhibit significantly lower mean scores on the 17-item sum score than employees of supermarkets, while the 2002 sample did not differ significantly from supermarket employees (Police2002: M=20.7, SD=5.9; Police2004: M=18.9, SD=4.37; Super market: M=22.6, SD=7.28).

Discussion

We found no indications that subclinical mental health problems, that is, severe symptoms were more prevalent among police officers than among other occupational groups in our comparative study. The same pattern was observed with respect to very severe symptoms, that is, a level of self-reported symptoms that may be indicative of the presence of mental disorders such as generalised anxiety disorder or major depressive disorder. Surprisingly, findings showed that officers in our comparative study were as healthy as study groups that are not considered high-risk professions, such as employees of banks (not victimised by robberies), supermarket employees, mental health-care professionals and soldiers before deployment. Moreover, they strongly differed from employees participating in an RET training because of mental health problems that were associated with a lack of assertiveness. Although we are not aware of a similar multicomparative study, these findings appear to be in line with the outcomes of a Dutch study on burnout among officers showing that officers had lower levels of emotional exhaustion than one large reference group consisting of various occupations,20 a Norwegian study1 showing that officers exhibited lower levels of emotional exhaustion (but higher levels of depersonalisation) than physicians, and the outcomes of the aforementioned studies.8 9 However, these studies did not control of adjust for the possible confounding effects of demographics in contrast to our study. How can these findings be explained? In the Dutch situation police officers follow a rigorous selection process: about 90% of those applying to the officer training programme is rejected (personal communication Dr Annika Smit, Dutch Police Academy). Moreover, officers are trained to deal and cope with critical incidents and as a consequence may be highly resilient to mental health problems.21 This may explain why bank employees (not selected to cope with severe incidents nor trained as rigorously as police officers), who were confronted with bank robberies reported significantly more (severe and very severe) mental health disturbances. Interestingly, in an older prospective study among police officers involved as body handlers in a disaster, no increases in health problems compared with predisaster levels were observed.22 These findings seriously question the generally held belief that policing is a high-risk profession with respect to mental health: is it perhaps a (partial) myth? Either way, it reminds us of the debate on suicide among officers that once (in fact) has been described as an epidemic.23 However, the critical review on suicide among officers of Hem et al23 clearly demonstrated that no evidence of an elevated suicide rate among officers actually exists and that previous research had serious methodological shortcomings. Despite the strength of our study, that is, multiple comparison groups and controlling for age, gender and education, some possible limitations and characteristics should be discussed. First, although very high scores on the SCL-90-R (very severe symptoms) may be indicative of a mental disorder, we did not conduct clinical interviews to examine the prevalence of mental disorders such as generalised anxiety, major depression and PTSD across samples. Very severe symptoms are considered to be clinically relevant. According to the Dutch norm tables19 the mean scores of a norm group of psychiatric patients on the subscales anxiety and depression were 26.0 (SD=9.9) and 41.9 (SD=14.8), respectively. In our total sample the mean scores of those with very severe anxiety and depression symptoms were 27.7 (SD=5.2) and 43.3 (SD=8.1), respectively. Therefore, it is not very likely that the prevalence rates obtained from clinician-rated instruments would be (much) higher than the prevalence rates obtained by self-report measures such as the SCL-90-R.24 Second, we were not able to compare the prevalence of PTSD across our study samples. Therefore, it is possible that the prevalence of PTSD among police officers is higher than among the other study groups. However, given the marked overlap of PTSD symptoms with other disorders and the typical comorbidity rates of PTSD with for instance depression,25 26 it is unlikely that police officers with PTSD, did not suffer from other severe mental health disturbances. Indeed, a large study among UK military personnel (N=10 069)27 showed that 344 of the 394 PTSD cases (87.3%) reported severe mental health problems, that is, were GHQ cases (high scores on the General Health Questionnaire). Only a small group of PTSD cases (N=50, 12.7%) were not identified as being a GHQ case (prof. Roberto Rona, personal communication). Control analyses among another sample (N=67) of Dutch employees seeking treatment at the Institute for Psychotrauma for (probable) PTSD following various traumatic events, showed similar results. In total, 86.6% (N=58) of the (probable) PTSD cases (N=67, Scores on the Impact of Event Scale of 35 or more28) also reported very severe mental health problems according to our composite variable of very severe symptoms. These findings are in line with previous research,29 30 demonstrating that PTSD and SCL-90-R scores are strongly associated. Thus, an increased prevalence rate for PTSD in the absence of marked mental health problems would be highly unlikely. Third, the two groups of officers were not drawn from national samples of officers. Group 1 was obtained in the eastern part of the Netherlands, but group 2 consisted of officers from several regions in the Netherlands (mainly east, mid and west). We have no data on the non-response of group 1. Although both groups did not differ in prevalence rates of very severe anxiety, depression and hostility symptoms (ie, clinical level of symptoms), significant differences were found in the prevalence of severe depression symptoms (80th percentile). This may reflect the normal variety of the prevalence of symptoms among subsamples within one occupational group. In addition, table 2 showed that females in our study less often had severe symptoms than males (although the prevalence of very severe symptoms did not differ between both subgroups) while in the general population the opposite is found.19 However, our study samples do not reflect the general population (see table 1). We used the Dutch norm tables for males and females: the cuf-offs scores for females are slightly higher than for males to enable such comparisons.19 Finally, one could hypothesise that the data of our study groups were not obtained very recently and that for instance the current prevalence of mental health problems among police officers is (much) higher. The data were in fact obtained in the period 1991–2007. It is possible in principle that the stability of the prevalence of assessed clinical and subclinical symptoms varied across the study groups during this period. Therefore we cannot rule out the possibility that for instance mental health problems among police officers increased over these years, while those of bank employees decreased and those of soldiers remained stable. Unfortunately, we are not aware of any study assessing and demonstrating differences in trajectories of prevalence between the study groups over a period of 16 years. However, epidemiological studies among the general population examining 12-month prevalence of mental disorders may shed more light on this issue. Kessler et al31 showed that the 12-month prevalence of any mental disorder was more or less stable over a 10-year period, that is, 29.5% and 26.2%, respectively. With respect to the Netherlands, the NEMESIS study32 showed similar outcomes: in contrast to the expectations of mental health professional the 12-months prevalence remained stable at about 17%33 in a similar period. These important results suggest that, although the studies were conducted among the general population, it is more likely that the prevalence of assessed mental health problems was relatively stable and did not differ significantly across occupational groups over time. Participants of all 11 study groups were inhabitants of the Netherlands. Therefore, future research is warranted to examine to what extent our findings can be generalised to countries with different political, social, medical and legal systems, and selection and training procedures of officers. We were not able to control for other influential factors such as organisational characteristics. Finally, we did not examine the extent of substance use such as the consumption of alcohol and smoking. Although the outcomes of Sterud et al34 did not support the notion of a strong relationship between occupational stress and alcohol use in police officers, it is unclear as to whether alcohol use differs from the other groups in our study.

Conclusions

Despite these limitations, the present study demonstrates that, although policing is generally viewed as a high-risk profession, mental health disturbances are not more prevalent in police officers as compared with various other occupational cohorts in our study. Several of these groups such as bank employees (not being robbed) and supermarket employees, as well as soldiers before deployment are typically not considered to be ‘high-risk professions’. These findings suggest that the positive effects on the mental health of police offices of the selection process, self-selection and resilience, given the amount of potential stressful and traumatic events they encounter during their career, should not be underestimated.
Table A1

Bivariate associations between predictors and dependent variables

Severe anxiety symptoms
Severe depression symptoms
Severe hostility symptoms
Severe symptoms composite
ORp ValueORp ValueORp ValueORp ValueORp ValueORp ValueORp ValueORp Value
Groups
 Police officers 1 (Ref.)1111
 Police officers 2 (Ref. second column)0.530.1310.410.0110.560.0710.490.011
 Bank employees, not victim robbery1.160.682.210.001.020.942.510.001.250.432.220.001.220.382.490.00
 Bank employees, victim robbery4.140.007.890.001.980.044.860.002.030.033.620.002.250.004.590.00
 Psychiatric hospital employees1.680.213.190.001.470.223.610.001.220.552.170.001.410.202.890.00
 Trainees AT4.400.008.380.004.240.0010.410.003.690.006.560.003.900.007.960.00
 Soldiers, not deployed before0.980.961.860.080.580.121.420.252.020.023.590.001.410.182.880.00
 Soldiers, deployed before0.800.631.530.270.620.181.520.191.830.053.260.001.280.352.620.00
 Firefighters0.640.431.210.711.120.772.740.001.280.502.280.011.160.642.360.00
 Social welfare3.100.015.900.002.150.045.290.002.310.034.100.001.730.103.540.00
Education
 Low medium1111
 High medium1.700.001.630.002.180.002.150.001.340.001.310.011.630.001.600.00
Age
 18–301111
 31–350.890.430.830.250.890.360.830.161.170.231.140.311.210.091.150.22
 46–650.960.790.930.631.010.950.960.731.110.391.120.391.120.291.090.44
Gender
 Males1111
 Females0.860.190.850.180.870.130.850.100.640.000.630.000.790.000.780.00
Very severe anxiety symptomsVery severe depression symptomsVery severe hostility symptomsVery severe symmtoms composite
Groups
 Police officers 1 (Ref.)1111
 Police officers 2 (Ref. second column)0.430.3510.860.8510.710.6910.660.561
 Bank employees, not victim robbery0.580.491.360.651.970.362.300.071.830.412.570.052.260.183.400.00
 Bank employees, victim robbery3.530.128.270.006.840.017.980.004.600.056.450.006.920.0010.440.00
 Psychiatric hospital employees0.330.360.770.824.480.055.230.002.340.293.290.043.700.045.590.00
 Trainees AT3.350.107.870.007.640.018.920.004.690.036.580.007.350.0011.080.00
 Soldiers, not deployed before0.510.511.210.840.260.270.300.271.830.452.570.111.390.632.100.16
 Soldiers, deployed before0.001.000.001.000.610.620.710.671.220.821.720.421.230.781.850.27
 Firefighters0.001.000.001.001.170.871.370.701.170.871.650.551.180.851.770.41
 Social welfare0.950.972.220.493.940.124.600.027.200.0210.100.006.310.019.520.00
Education
 Low medium1111
 High medium2.650.002.710.002.040.001.980.001.290.211.260.261.760.001.710.00
Age
 18–301111
 31–350.920.830.930.871.170.531.100.701.540.121.570.121.360.141.300.22
 46–651.500.281.540.281.230.401.190.491.030.931.090.781.200.381.180.43
Gender
 Males1111
 Females0.630.130.640.131.070.711.050.801.220.301.210.331.120.451.090.54

Ref., reference group.

  18 in total

1.  Suicide in police--a critical review.

Authors:  E Hem; A M Berg; A O Ekeberg
Journal:  Suicide Life Threat Behav       Date:  2001

2.  Reactions of police officers to body-handling after a major disaster. A before-and-after comparison.

Authors:  D A Alexander; A Wells
Journal:  Br J Psychiatry       Date:  1991-10       Impact factor: 9.319

3.  The impact of posttraumatic stress disorder on impairment in the UK military at the time of the Iraq war.

Authors:  Roberto J Rona; Margaret Jones; Amy Iversen; Lisa Hull; Neil Greenberg; Nicola T Fear; Matthew Hotopf; Simon Wessely
Journal:  J Psychiatr Res       Date:  2008-10-23       Impact factor: 4.791

4.  Type D personality and the development of PTSD symptoms: a prospective study.

Authors:  Arthur R Rademaker; Mirjam van Zuiden; Eric Vermetten; Elbert Geuze
Journal:  J Abnorm Psychol       Date:  2011-05

5.  The structure and stability of common mental disorders: the NEMESIS study.

Authors:  W A Vollebergh; J Iedema; R V Bijl; R de Graaf; F Smit; J Ormel
Journal:  Arch Gen Psychiatry       Date:  2001-06

6.  Peritraumatic and trait dissociation differentiate police officers with resilient versus symptomatic trajectories of posttraumatic stress symptoms.

Authors:  Isaac R Galatzer-Levy; Anita Madan; Thomas C Neylan; Clare Henn-Haase; Charles R Marmar
Journal:  J Trauma Stress       Date:  2011-09-06

7.  Occupational stress and alcohol use: a study of two nationwide samples of operational police and ambulance, personnel in Norway.

Authors:  Tom Sterud; Erlend Hem; Oivind Ekeberg; Bjørn Lau
Journal:  J Stud Alcohol Drugs       Date:  2007-11       Impact factor: 2.582

8.  Routine work environment stress and PTSD symptoms in police officers.

Authors:  Shira Maguen; Thomas J Metzler; Shannon E McCaslin; Sabra S Inslicht; Clare Henn-Haase; Thomas C Neylan; Charles R Marmar
Journal:  J Nerv Ment Dis       Date:  2009-10       Impact factor: 2.254

9.  Associations between major life events, traumatic incidents, and depression among Buffalo police officers.

Authors:  Tara A Hartley; John M Violanti; Desta Fekedulegn; Michael E Andrew; Cecil M Burchfiel
Journal:  Int J Emerg Ment Health       Date:  2007

10.  An evaluation of traumatic and organizational experiences on the psychological health of New Zealand police recruits.

Authors:  Lynne Huddleston; Christine Stephens; Douglas Paton
Journal:  Work       Date:  2007
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  21 in total

1.  Models of first responder coping: Police officers as a unique population.

Authors:  Eamonn Arble; Ana M Daugherty; Bengt B Arnetz
Journal:  Stress Health       Date:  2018-06-08       Impact factor: 3.519

2.  Effort-Reward Imbalance and Overcommitment at Work: Associations With Police Burnout.

Authors:  John M Violanti; Anna Mnatsakanova; Michael E Andrew; Penelope Allison; Ja Kook Gu; Desta Fekedulegn
Journal:  Police Q       Date:  2018-05-21

3.  Refinement and Preliminary Testing of an Imagery-Based Program to Improve Coping and Performance and Prevent Trauma among Urban Police Officers.

Authors:  Eamonn Arble; Mark A Lumley; Nnamdi Pole; James Blessman; Bengt B Arnetz
Journal:  J Police Crim Psychol       Date:  2016-03-07

4.  The effect of organisational system on self-rated depression in a panel of male municipal firefighters.

Authors:  Se-Jin An; Yun Kyung Chung; Bong Hyun Kim; Kyeong Min Kwak; Jun-Seok Son; Jung-Wan Koo; Young-Su Ju; Young-Jun Kwon
Journal:  Ann Occup Environ Med       Date:  2015-01-14

5.  Mental health in women 20-23 years after IVF treatment: a Swedish cross-sectional study.

Authors:  J Vikström; A Josefsson; M Bladh; G Sydsjö
Journal:  BMJ Open       Date:  2015-10-28       Impact factor: 2.692

6.  The prevalence and associated factors of depression in policing: a cross sectional study in Sri Lanka.

Authors:  Nuwan D Wickramasinghe; Pushpa R Wijesinghe; Samath D Dharmaratne; Suneth B Agampodi
Journal:  Springerplus       Date:  2016-10-12

7.  Job stress and behavioral characteristics in relation to coronary heart disease risk among Japanese police officers.

Authors:  Maki Shiozaki; Nobuyuki Miyai; Ikuharu Morioka; Miyoko Utsumi; Sonomi Hattori; Hiroaki Koike; Mikio Arita; Kazuhisa Miyashita
Journal:  Ind Health       Date:  2017-04-20       Impact factor: 2.179

8.  Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China.

Authors:  Xiaojun Liu; Dongdong Jiang; Zhaoxun Hou; Meikun He; Yuanan Lu; Zongfu Mao
Journal:  Int J Environ Res Public Health       Date:  2017-11-26       Impact factor: 3.390

9.  Psychotraumatology in the Netherlands.

Authors:  Eric Vermetten; Miranda Olff
Journal:  Eur J Psychotraumatol       Date:  2013-05-02

10.  Association of work-related stress with mental health problems in a special police force unit.

Authors:  Sergio Garbarino; Giovanni Cuomo; Carlo Chiorri; Nicola Magnavita
Journal:  BMJ Open       Date:  2013-07-19       Impact factor: 2.692

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