Depression, suicidality and associated risk factors among police officers in urban Tanzania: a cross-sectional study.

BACKGROUND: The WHO has classified depression as a disease of public concern. Police officers are a particular subpopulation group that is at an increased risk for mental health problems. This study examined the prevalence of depression, suicidality and associated risk factors among police officers in urban Tanzania. AIMS: The aim of this study was to examine the prevalence of depression, suicidality and associated risk factors among police officers in Tanzania.
METHODS: A cross-sectional study was conducted between April 2019 and October 2020 among 550 participants in Dar es Salaam recruited using a multistage cluster sampling technique. The Patient Health Questionnaire-9 was used to screen for depression and suicidality. The Interpersonal Support Evaluation List-12 tool was used to measure perceived social support. Descriptive statistics were summarised using frequencies and percentages. Bivariate and multivariate analyses were used to establish associations between predictors of interest, depression and suicidality.
RESULTS: There were 497 participants in the study. Of these, 76.6% (376 of 491) were men, and the median (IQR) age was 37.0 (17) years. Around 19.8% (96 of 486) of the police officers screened positive for depression and 15.4% (75 of 413) for suicidality. A significant proportion was either moderately (29 of 96, 30.2%) or severely depressed (8 of 75, 10.7 %). Of those who experienced suicidal thoughts, 10.7% (8 of 75) reported having daily suicidal thoughts. Perceiving low social support was associated with an increased risk of reporting depression (adjusted OR (aOR): 28.04, 95% CI: 8.42 to 93.37, p<0.001) and suicidality (aOR: 10.85, 95% CI: 3.56 to 33.08, p<0.001) as compared with those with high perceived social support.
CONCLUSION: The magnitude of depression and suicidality among police officers in urban Tanzania is alarmingly high. The study findings indicate the need for routine screening for depression and suicidality among police officers and design appropriate mental health responsive services in this population. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Introduction

Mental health problems play an important role in the non-communicable disease burden, and are estimated to affect about 300 million people globally.1 According to the WHO report, major depressive disorder was estimated to be the second leading cause of the global burden of disease by 2020.2 The prevalence of depression in the global population ranges from 1.9% to 19%, ranked globally as the most significant contributor to non-fatal health loss2–4; while the prevalence of suicidal ideation ranges from 3.3% to 13.5%.5 6 In Africa, the prevalence of depression in the general population was reported to be at between 9% and 11.6%, of which 95% of the cases were in sub-Saharan Africa (SSA).2 The prevalence of depression in the general popoulation of Tanzania is 4.1%, while suicide has been reported in 2.3/100 000 of the general population.7–9

Studies have reported the prevalence of depression at 10.6%–14.6% among police officers.8 10 Multifactorial causes such as work-related exposure and traumatic events place first crisis responders and police officers at an increased risk of developing depression and suicide as compared with the general population.10–13 Suicidal ideation has been estimated to affect 8.5% (7.4%–25%) of police officers globally, which is twice as high as the magnitude reported in the general population.10 14 15 Suicidality can be a direct result of exposure to trauma, but most studies have linked suicidality in police officers with preceded post-traumatic stress disorder (PTSD) symptomatology, alcohol abuse and depression.13

Social and organisational stressors such as lack of organisational support and rewards, heavy workload and non-standard work hours were shown to be significant predictors of mental health problems compared with operational stressors including exposure to traumatic events and violence.16–18 Sociodemographic factors such as age, gender, education, marital status, and length of exposure to police work as well as social support have been linked to depression and suicidality.19–21

There is paucity of data on the magnitude and factors associated with depression and suicidality among police officers in Tanzania. Therefore, the aim of the study was to examine the prevalence of depression, suicidality and associated risk factors among police officers in Tanzania. The findings of this study will help to strengthen mental health promotion, prevention and treatment services in this particular population.

Methods

Study aim, design and setting

This study aimed to determine the prevalence of depression, suicidality and associated risk factors among police officers in urban Tanzania. We conducted a community-based cross-sectional survey in Dar es Salaam region, Tanzania from April 2019 to October 2020.

Study participants

We included the police officers who were residing in Dar es Salaam and were available at their respective police stations at the time of study. Retired police officers and those who were absent at the respective police stations during the study period were excluded. No age restriction was considered during the enrolment.

Sample size determination and technique

Multistage cluster sampling involving three stages was used to obtain the sampled police officers. Multistage cluster sampling is useful in obtaining participants in a complex population.22 In the first stage, all three clusters of police regions (Kinondoni, Temeke and Ilala) in Dar es Salaam City were selected. The second stage involved random selection of two district police units from the three sampled police regions. In the last stage, a convenient secondary sample of individual participants was obtained. A sample of 497 police officers was calculated using the proportional formula for calculating sample size (Kish and Leslie formula), the prevalence of depression of 10.6% and 5% standard error (SE) were used for calculation.8

Data collection process and instruments

Data collection was conducted by trained research assistants in cooperation with some of the co-authors. We visited two police districts in each police region and three special police units (field force unit, police band, and information and communication technology unit). Data collection was done consecutively involving all the consented police officers available at the time of recruitment. Consented participants completed the semistructured self-administered questionnaires for sociodemographics (age, gender, education, rank, years served in police force, promotion status, police section), social support and depression screeners.

Depression was assessed using the validated Patient Health Questionnaire-9 (PHQ-9) consisting of nine items. The reliability of PHQ-9 has been documented in our Tanzanian setting with a good reliability (α=0.83).23 The participants were required to choose if over the last 2 weeks, they had experienced the mentioned symptoms. The responses were either not at all (0), for several days (1), more than half the days (2) or nearly every day (3); depression was defined by a score of >9, shown to have a sensitivity of 78% and specificity of 87%.23 Depression severity was obtained using a scale of 10–14, 15–19 or 20–27 as moderate, moderately severe or severe depression, respectively.

The ninth question in PHQ-9 measures suicidality. The participants were asked how often over the last 2 weeks they have been bothered by thoughts that they would be better off dead or hurting oneself in anyway. If the responses were either for several days, more than half the days or nearly every day, they were considered to have suicidality (suicidal ideation).

Perceived social support was measured by the short version of the Interpersonal Support Evaluation List consisting of 12 items. It has three different subscales designed to measure three dimensions of perceived social support namely appraisal, belonging and tangible supports. Each of these dimensions was measured by a 4-point scale ranging from definitely false (1) to definitely true (4); six questions were reverse scored. The tool has been previously validated with internal consistency (Cronbach’s α: 0.452–0.752) and test–retest reliability of 0.88–0.90 in English and Hispanic communities24 25, but not in Tanzania. A score of 12–30, 31–41 or 42–48 was defined as low, fair or high social support, respectively.25

Data analysis

All data entry, cleaning and subsequent data analysis were completed using SPSS for Windows V.20. In data cleaning, we performed missing value analysis and identified out-of-range values by running frequency tests for each variable and did the amendments accordingly. Out of 550 enrolled participants, 497 (90.4%) police officers who responded to at least one of the general sociodemographic questions were included in the initial analysis. In bivariate and multivariate analyses for depression, 486 participants of the initial 497 police officers were considered for analysis as they responded to at least five of the questions on the PHQ-9 depression tool. For suicidality, we included 413 participants who responded to the ninth item on the PHQ-9 that assessed suicidal ideation. Eighty-four participants did not respond to this item, hence they were excluded in the final suicide analysis.

In the bivariate and multivariate analyses, the ORs with corresponding 95% CI were used to determine associations between sociodemographic factors, perceived social support, depression and suicidality. All factors were included in the multivariate regression analysis regardless of their level of significance in bivariate regression and the statistical significance level was set at 0.05.

Results

Demographic characteristics of study participants

We enrolled a total of 550 participants, with a response rate of 90.4% (497 of 550), the remainder had incomplete information in their questionnaires (figure 1). There were 53 participants excluded since they had not responded to any question on the first section in the questionnaire (sociodemographic information). In the depression analysis, 11 patients were excluded due to non-response on four questions or more on PHQ-9 questions, so there were 486 police officers in the final analysis. In the suicidality analysis, 84 participants were excluded, as they did not respond to question number 7 on the PHQ-9 that assessed suicidality, so there were 413 police officers in the final analysis. Among the 497 participants, the majority of the participants were men (76.6%, 376 of 491), and 38.1% of the participants were aged 41 years and above, with a median age (IQR) of the participants of 37.0 (17) years. About three-quarters (76.3%, 371 of 473) of the participants were married and just about half (47.0%, 231 of 491) of the participants reported having attained secondary education, and about half of the participants (52.6%, 249 of 473) reported to have been working in the police force for 5–14 years (table 1).

Figure 1

Study participants’ enrolment flowchart. PHQ-9, Patient Health Questionnaire-9.

Table 1

Sociodemographic characteristics of the study participants

Characteristic	N	Percent (%)
Sex (n=491)
Male	376	76.6
Female	115	23.4
Age groups (n=397)
21–30	105	26.4
31–40	141	35.5
41 and above	151	38.1
Marital status (n=473)
Single	92	19.4
Married	371	76.3
Separated and widowed	20	4.3
Education (n=491)
Primary	53	10.8
Secondary	231	47
Higher education	207	42.2
Years served in police force (n=473)
5–14	249	52.6
15 and above	224	47.4
Last year of promotion (n=479)
<5 years	344	71.8
5–10 years	97	20.3
>10 years	38	7.9
Rank at work (n=494)
Gazette officer	22	4.5
Inspector†	60	12.1
Rank and file‡	412	83.4
Police sections (n=489)
General duty	130	26.6
Specialised sections§	359	73.4
Years served in police section (n=474)
1 year and below	45	9.5
More than a year	114	24
More than 5 years	315	66.5
Operational activities (n=478)
Yes	355	74.3
No	123	25.7
Perceived social support (n=426)
High	163	38.3
Fair	215	50.4
Low	48	11.3
Police regions (n=497)
Ilala	126	25.4
Kinondoni	127	25.6
Temeke	86	17.3
FFU	76	15.3
Police band	44	8.9
Main store	38	7.6

*Gazette officers (inspector general of police, commissioner of police (CP), deputy CP, senior assistant CP, assistant CP, senior superintendent of police)

†Inspectors (superintendent of police (SP), assistant SP)

‡Rank and files (Regimental sergeant majors/sergeant majors, station sergeant, sergeant, corporal police and police constable)

§Specialised sections (FFU, information and communication technology, medical unit, criminal investigation department, main police depot, traffic department, police band, police colleges, dogs and horse section, mechanical department, anti-drugs unit, construction and building department)

FFU, field force unit.

Prevalence and predictors of depression among police officers

The frequency and percentages of police officers who were screened for depression and sociodemographic variables are presented in table 2. The prevalence of depression among police officers was found to be 19.8%. Among participants who had depression, one-third (30.2%) were found to have moderate to severe depression. Younger age group and those who served fewer years in police work were at an increased risk of depression. Multivariate logistic regression revealed that police officers with low perceived social support (adjusted OR (aOR): 28.04, 95% CI: 8.42 to 93.37, p<0.001) were found to be at an increased risk of developing depression (table 2). Sex, marital status, rank at work, promotion status and police sections did not show any significant association with depression.

Table 2

Bivariate and multivariate analyses of factors associated with depression among police officers in Dar es Salaam

Characteristics/variables	Depression (n, %)	cOR (95% CI)	P value	aOR (95% CI)
Sex (n=481)
Male	74 (20.1)	1	0.882	1
Female	22 (19.5)	0.96 (0.57 to 1.63)		1.33 (0.59 to 2.98)
Age groups (n=388)
21–30	27 (26.2)	2.002 (1.07 to 3.764)*	0.031	1
31–40	26 (18.7)	1.297 (0.70 to 2.416)	0.413	0.55 (0.23 to 1.31)
41 and above	22 (15.1)	1		0.68 (0.17 to 2.71)
Marital status (n=464)
Single	19 (21.3)	0.81 (0.26 to 2.53)	0.722	1
Married	72 (20.3)	0.76 (0.27 to 2.17)	0.612	1.45 (0.58 to 3.66)
Others	5 (25.0)	1		0.92 (0.15 to 5.74)
Education (n=481)
Primary education	5 (10.0)	1		1
Secondary education	45 (19.9)	2.238 (0.84 to 5.96)	0.107	3.78 (0.41 to 35.04)
Higher education	46 (22.4)	2.604 (0.98 to 6.94)	0.056	6.34 (0.65 to 61.83)
Ranks (n=484)
Officers	2 (9.1)	0.37 (0.08 to 1.60)	0.183	1
Inspectors	8 (13.3)	0.57 (0.26 to 1.24)	0.153	1.18 (0.19 to 7.24)
File	86 (21.4)	1		1.11 (0.18 to 6.80)
Years at work (n=464)
5–14	60 (24.5)	1.83 (1.14 to 2.93)	0.012	1
15 and above	33 (15.1)	1		0.59 (0.19 to 1.81)
Years last promoted (n=469)
Less than 5 years	76 (21.2)	1.15 (0.49 to 2.72)	0.749	1
5–10 years	11 (15.1)	0.76 (0.27 to 2.16)	0.607	1.46 (0.53 to 4.03)
More than 10 years	7 (18.9)	1		0.93 (0.22 to 3.84)
Operational activities (n=470)
Yes	67 (19.1)	0.80 (0.49 to 1.33)	0.397	1
No	27 (22.7)	1		0.68 (0.29 to 1.57)
Police section (n=456)
General duty	21 (16.7)	0.74 (0.44 to 1.27)	0.277	1
Specialised sections	75 (21.2)	1		0.93 (0.39 to 2.15)
Perceived social support (n=426)
High	11 (6.8)	1		1
Fair	45 (20.9)	3.63 (1.81 to 7.28)	<0.001	4.56 (1.97 to 10.59)
Low	26 (55.3)	16.99 (7.34 to 39.36)	<0.001	28.04 (8.42 to 93.37)

*Factors that were statistically significant (p<0.05).

aOR, adjusted OR; cOR, crude OR.

Prevalence and predictors of suicidality among police officers

The prevalence of suicidal ideation among police officers was found to be 15.4% (75 of 413), of which 10.7% (8 of 75) of those who experienced suicidal ideation reported experiencing suicidal ideation nearly every day. Police officers who reported low perceived social support were at an increased risk of having suicidality (aOR: 10.85, 95% CI: 3.56 to 33.08, p<0.001). Other factors did not show significant associations with suicidal ideation (table 3).

Table 3

Bivariate and multivariate analyses of factors associated with suicidality among police officers in Dar es Salaam

Characteristics/variables	Suicidality (n, %)	cOR (95% CI)	P value	aOR (95% CI)
Sex (n=483)
Male	58 (15.7)	1.05 (0.58 to 1.89)	0.871	1
Female	17 (15.0)	1		1.21 (0.52 to 2.82)
Age group (n=390)
21–30	16 (15.5)	1.11 (0.55 to 2.25)	0.768	1
31–40	22 (15.8)	1.14 (0.59 to 2.18)	0.768	0.62 (0.23 to 1.67)
41 and above	21 (14.2)	1		0.34 (0.08 to 1.39)
Marital status (n=466)
Single	13 (14.6)	0.68 (0.19 to 2.37)	0.55	1
Married	58 (16.2)	0.78 (0.25 to 2.41)	0.66	1.21 (0.44 to 3.34)
Others	4 (20.0)	1		1.17 (0.19 to 6.92)
Education (n=483)
Primary education	6 (11.8)	0.73 (0.29 to 1.84)	0.499	1
Secondary education	37 (16.4)	1.06 (0.64 to 1.78)	0.812	1.33 (0.23 to 7.95)
Higher education	32 (15.5)	1		1.42 (0.23 to 8.66)
Police rank (n=486)
Officers	2 (9.1)	0.53 (0.12 to 2.33)	0.402	1
Inspectors	9 (15.0)	0.94 (0.44 to 1.99)	0.867	2.18 (0.23 to 20.86)
File	64 (15.8)	1		1.28 (0.13 to 12.51)
Years at work (n=465)
5–14	41 (16.7)	1.27 (0.76 to 2.12)	0.354	1
15 and above	30 (13.6)	1		1.60 (0.53 to 4.83)
Years last promoted (n=469)
Less than 5 years	76 (21.2)	0.80 (0.34 to 1.92)	0.622	1
5–10 years	11 (15.1)	0.38 (0.12 to 1.24)	0.109	1.04 (0.31 to 3.45)
More than 10 years	7 (18.9)	1		2.29 (0.67 to 7.89)
Operational activities (n=471)
Yes	54 (15.4)	1.10 (0.61 to 1.99)	0.748	1
No	17 (14.2)	1		0.52 (0.20 to 1.35)
Police section (n=456)
General duty	14 (11.0)	0.59 (0.32 to 1.11)	0.103	1
Specialised sections	61 (17.2)	1		1.09 (0.43 to 2.78)
Perceived social support (n=426)
High	14 (8.64)	1		1
Fair	30 (13.95)	1.71 (0.88 to 3.35)	0.115	1.43 (0.64 to 3.19)
Low	21 (43.75)	8.22 (3.73 to 18.13)	<0.001	10.85 (3.56 to 33.08)

aOR, adjusted OR; cOR, crude OR.

Discussion

Main findings

The current study findings provide the prevalence of depression and suicidality among police officers in Dar es Salaam, Tanzania.

Police officers who served for 5–14 years in the police force and those with low perceived social support were at an increased risk of depression compared with their counterparts. Police officers with low perceived social support were at an increased risk of suicidality.

Our study found the prevalence of depression to be 19.8%. This finding is consistent with a study done among police officers in Sri Lanka which reported a depression prevalence of 22.8% using a different research tool (Depression, Anxiety and Stress Scale) with reported correlation of 0.87 with PHQ-98 26, this could also be attributed by the two studies being conducted in middle-income countries. However, findings from a study done by Lawson et al revealed significantly higher levels of depression among Australian police officers (65.4%) which can be attributed to the use of a different research tool (Center for Epidemiologic Studies Depression tool) and sociocultural differences between these two study sites.27

Our study found relatively higher levels of depression among this subpopulation compared with studies done among the general population in SSA.28 29 The nature of police work has been found to explain this difference. First-line crisis responders were shown to have higher levels of depression and PTSD as a result of dealing with violent acts, death and abuse during work duties which can be psychologically stressful.30

About 15.0% of police officers in our study reported having suicidality. This prevalence is higher than that reported in South Africa (8.64%–10.58%).31 32 However, studies done in developed countries demonstrated higher levels of suicidality (such as 23.1%–25% in the USA33) compared with the present studies in developing countries. The differences in rates between developed and developing countries warrant further investigations.14 34 35 Police officers’ exposure to traumatic incidences and violence predisposes them to PTSD and substance use as a coping mechanism, which increased risk of suicidality.13 33

Studies have reported suicide ideation to be the most significant predictor that placed police officers at increased risk of subsequent suicide behaviours. Suicide ideation measured by the PHQ-9 has been associated with increased risk of suicide attempt (up to 10 times higher) as compared with those who did not endorse suicide ideation.36 Daily suicidal ideation has been shown to increase the risk of dying by suicide by up to 11 times.37

This study found a higher level of education to be associated with depression. This finding is incongruent with findings from a study done by Wickramasinghe et al which found no association between level of education and depression among police officers in Sri Lanka.8 Educated police officers are likely to get higher ranks at work with increased work demands and requirements which again predispose them to more psychological stress.38

Inconsistent with our findings, several studies conducted globally had shown that those who served longer in the police force were at an increased risk of developing depression. Long exposure to organisational and operational stressors at work has been found to significantly predict the level of depression in studies done among police workers in China and Italy.15 22 However, the earlier period of working may be a primary stressor for those who had served for fewer years and with time police officers may have developed some coping mechanisms that mask most depressive symptoms for those who served longer. Therefore, there may be a need for periodical mental check-ups and offering interventions directed towards police officers at different times in their career.

Similar to our findings, a study done by Broadhead et al had found that police officers who reported having low social support were twice as likely to develop depression.39 A review article conducted on suicide among police officers reported family–social support to be a protective factor among first responders. Social support and acknowledgement at work were reported as protective factors against occupational stress and mental health problems as they provide a buffering effect for possible stressful situations experienced at the workplace.30 33 34 Therefore, social and psychological interventions directed towards this population may alleviate the effect brought about by stressful work experiences.

Limitations

The use of self-administered questionnaires in data collection led to a significant number of missing data due to incomplete responses. However, this method was preferred to the interview method as it allowed for greater transparency and privacy in sharing personal information.

Another issue was that the participants providing socially desirable answers from fear of being pointed out as abnormal would increase the challenges in getting a real picture regarding the participant’s mental condition. In addition, this study included a relatively large sample size, but the findings may not be generalisable to all police officers in Tanzania since the study was conducted in an urban setting where police operations and organisational factors may be different from rural settings.

Implications

The magnitude of depression and suicidality among police officers in urban Tanzania is concerning. Higher education level and low perceived social support were found to be associated with depression among police officers. Low perceived social support was found to be the only independent predictor for suicidality. Our study underscores the urgent need to address depression and suicidality among police officers. Mental health awareness education, screening of mental health symptoms including depression and suicidality, and offering early intervention mental health services are required in the police force in Tanzania.