Psychiatry Journal
Volume 2018 (2018), Article ID 5762608, 10 pages
https://doi.org/10.1155/2018/5762608

Research Article

Prevalence and Associated Factors of Depression among Prisoners in Jimma Town Prison, South West Ethiopia

Zakir Abdu,¹ Teshome Kabeta,² Lamessa Dube,² Workinesh Tessema,³ and Mubarek Abera³

¹Department of Psychiatry, Faculty of Public Health and Medical Sciences, Mettu University, Ethiopia
²Department of Epidemiology, Faculty of Public Health, Institute of Health, Jimma University, Ethiopia
³Department of Psychiatry, Faculty Medical Sciences, Institute of Health, Jimma University, Ethiopia

Correspondence should be addressed to Zakir Abdu; zakirabdu45@gmail.com

Received 3 November 2017; Revised 15 January 2018; Accepted 18 April 2018; Published 19 June 2018

Academic Editor: Arif Khan

Copyright © 2018 Zakir Abdu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Background. Mental disorder is one of the greatest challenges that current and future generations will face. Currently among all people suffering from depression, 85% of them live in low- and middle-income countries. Previous studies reported the global burden/prevalence of depression to be five to ten times higher among prisoners than the general population. However, the prevalence of depression among prisoners in our study area is not known. Objective. This study therefore aimed to assess the prevalence and associated factors of depression among prisoners in Jimma town in 2017. Method. A cross-sectional study design was employed on 332 prisoners selected by systematic random sampling method. Data was collected by a face to face interview using Beck Depression Inventory (BDI-II) scale. Data analysis was done using SPSS version 20. Result. The study revealed that 41.9% () of participants among prisoners had depression. Having family history of mental illness (AOR = 6.05, 95% CI = 2.6, 13.8), having chronic physical illness (AOR = 2.87, 95% CI = 1.29, 6.41), having history of previous incarceration (AOR = 3.26, 95% CI = 1.02, 10.64), lack of job in the prison (AOR = 4.96, 95% CI = 2.09, 11.8), lifetime alcohol use (AOR = 3.61, 95% CI = 1.8, 7.26), thinking life to be a difficult one after release from prison (AOR = 2.07, 95% CI = 1.2, 3.6), having age between 21 and 25 years (AOR = 2.04, 95% CI = 1.06, 3.89), and having poor social support (AOR = 2.2, 95% CI = 1.27, 3.82) had significant association with depression in the fully adjusted final regression model. Conclusion. This study has shown that the prevalence of depression among prisoners was very high. Having family history of mental illness, having chronic physical illness, having previous incarceration, lack of job in prison, lifetime alcohol use, thinking life to be difficult one after release from prison, having age between 21 and 25 years old, and having poor social support were found to have an impact on the prevalence of depression.

1. Background

Mental disorder impose an enormous disease burden almost everywhere across the world [1]. It is one of the greatest challenges that the current and future generations will face [2]. Depression is the most common and severe but treatable mental disorder [3]. Out of people suffering from depression; 85% live in low- and middle-income countries [4]. When compared to the general population, worldwide, prisoners were five to ten times more likely to develop depression [5, 6].

The incidence of mental disorders among prisoners in the western countries reported that one from seven prisoners suffers from some type of psychiatric disorder and depression is the most one [6]. According to a systematic review from 24 western countries, 10.2% of male prisoners and 14.1% of female prisoners had depression [7]. From prison in United States (US), about 23% of state prisoners and 30% of jail imprisonments were found to have depression [8]. Prevalence of depression among prisoners in Asian country is more than two times higher than the western countries [9] but lower than the result in African [10]. According to studies conducted in different parts of Africa, 10.4% to 82.5% of the prisoners found to be depressed and the disorder is higher among females and young age groups [11–13]. One study from sub-Saharan country showed that the magnitude of depression among prisoners is 42.2% and the more affected group is the lower educational status and singles [10, 14]. Little is known in east Africa, and one study which is done recently in Ethiopia revealed that at least eight prisoners out of nineteen suffered from depression and it was associated with residence of prisoners [5].

Most studies done in prisons of different countries across the world revealed the following factors. Being female [6, 7, 15–18], older age [14, 19], performing work in prison (AOR = 0.49, CI 0.28–0.87), prisoners incarcerated repeatedly (AOR: 3.3, CI 1.7–6.3) [7, 20, 21], having past psychiatric history (OR: 1.9, CI 1.4–25) [21, 22], having family history of mental illness (AOR: 1.6, CI: (1.0–2.7)) [21], having history of previous substances used (AOR: 3, CI: 2.3, 4.0) [21], having poor social support [AOR: 0.62; CI 0.44, 0.89], and thinking life to be a difficult one after release from prison (AOR: 1.87, CI 1.30, 2.69) [5] were variables identified as they had association with depression.

2. Methods and Materials

An institutional based cross-sectional study was conducted from June 1 to June 15, 2017. All prisoners in Jimma town prison were included. Those prisoners who were not able to communicate because of any kind of illness were excluded from study. And those prisoners openly imprisoned were excluded.

To get maximum sample size, prevalence rate () of 50% was taken. Single population proportion formula was used to determine sample size at 95% CI and 5% marginal error.

where

  is initial sample size;  is confidence interval (95%);  is estimated proportion which was assumed to be 50% (0.5);  is margin of sampling error tolerated (5%).

The total number of prisoners in Jimma town Correctional Institution is 1460 which is less than 10,000. Using finite population correction formula the final sample size was

where

  is final sample size;  is initial sample size calculated above (384);  is total number of prisoners (1460).

Considering nonrespondent subjects and by adding 10% nonresponse rates the final number of the study subject became 336.

A systematic random sampling was done using the prisoners list and using the sampling interval size calculated using the formula

where is the total population (1460) and is sample size (336) while is sampling interval size. = (approximately 4). Therefore, every 4th prisoners on the list was selected. List prisoners from 1 to 1460 and then randomly select a number between 1 and 4 (e.g., “2”):

(i)1st person selected = the 2nd on the list;(ii)2nd person selected = 2 + 4, the 6th, etc.

Data was collected using structured questionnaire by face to face interview technique. BDI-II was used to screen the presence and absence of depression [23]. The Oslo 3-item social support scale was used to assess level of social support [24, 25].

2.1. Operational Definition

Figure 1 shows the factors associated with depression among prisoners in Jimma town: sociodemographic (like age, sex, religion, m. status, ethnicity, residence), substance (like alcohol, khat, cigarette, cannabis/shisha/ganja), socioeconomic factors (like income, occupation, education status, having children), clinical related factors (like heart disease, diabetic mellitus, hypertension, epilepsy, past mental illness, family history of mental illness), and prison environment related factors (like previous incarceration, duration of incarceration, acceptance of crime penalized for, thinking life after released from prison is difficult, type of criminality, practicing religion, work in prison, social support).

Figure 1: Conceptual framework of study on prevalence of depression and associated factors among prisoners in Jimma town Correctional Institution, South West Ethiopia, 2017 (source: developed by the principal investigator by reviewing literatures and scientific background).

Figure 2 shows the prevalence of depression: 43 (13.0%) had mild depression, 66 (19.9%) had moderate depression, and 30 (9.0%) had severe depression. About 44 (13.2%) of participants were without depression (normal) and 149 (44.9%) had borderline clinical depression.

Figure 2: Levels of depression and its prevalence among prisoners in Jimma town Correctional Institution, June, 2017. .

According to BDI-II, depressed are participants who score 14 and more, while those who score 13 or lower are not depressed. From depressed participants, those who score 14–19 are mildly depressed, 20–28 are moderately depressed, and 29–69 are severely depressed.

Those thinking life to be a difficult one after release from prison are participants who believe that their life will not go as before being incarcerated when they become released from prison. It was assessed by a developed questionnaire which is a set of attitudes that generated a single score.

There are also participants with chronic illness, illness that can be managed but cannot be cured, and having a greater risk of developing depression, for example, heart diseases, diabetic mellitus, HIV/AIDS, past mental illness, etc. And the response for chronic illness is from self-report of the participants.

Those accepting penalty for their crime are participants who accept the fact that the reason why he/she was incarcerated was because of doing that crime. It was assessed by generating a single score.

2.2. Data Analysis

Data was analyzed using SPSS version 20.0. Binary and multivariable logistic regression analyses were employed. The variables which have a statistical significance association in the final multivariable analysis were identified on the basis of values < 0.05 and AOR with 95% confidence intervals.

Ethical Approval and Consent of Participants. The study was conducted after ethical clearance is obtained from ethical review board of Jimma University (IHRPGC/761/2017). Confidentiality was ensured and all related questions they raised were answered. Participation was completely voluntary, with no economic or other motivation, and each participant signed written informed consent for their participation. Participants right to refuse or discontinue participation at any time they want was strictly respected.

3. Result

3.1. Sociodemographic and Economic Characteristics

From the total of 336 participants, 332 were interviewed. Among 332 prisoners participating, the majority were males, 311 (93.7%). The median age of the respondents was 26 years with an interquartile range of 12 years (Table 1).

Table 1: Background characteristics of study participants among prisoners in Jimma town prison, South West Ethiopia, June 2017 ().

Study variables
Frequency ()
Percentage (%)

Gender

    Male
311
93.7

    Female
21
6.3

Age

    18–20
82
24.7

    21–25
78
23.5

    26–34
90
27.1

    >34
82
24.7

Marital status

    Married
132
39.8

    Single
180
54.2

    Other
20
6.0

Ethnicity

    Oromo
218
65.4

    Amhara
51
15.4

    Dawuro
34
10.2

    Other
29
8.7

Religion

    Muslim
189
56.9

    Orthodox
110
33.2

    protestant
33
9.9

Residence before imprisonment

    Rural
115
34.6

    Urban
217
65.4

Monthly income (ETB)

    <500
110
33.1

    501–1000
65
19.6

    1001–2500
75
22.6

    >2501
82
24.7

Educational status

    Not educated
47
14.2

    1–8 Grade
176
53.0

    9–12 Grade
81
24.4

    Higher education
28
8.4

Occupational before incarceration

    Employed
154
46.4

    Unemployed
178
53.6

Having children

    Yes
134
40.4

    No
198
59.6

Widowed, separated, and divorced. Kefa, Gurage, Tigre, and Yem. Current currency 1$ = 23.35ETB.

3.2. Prison Related Environment Related

The study revealed that one in twelve (8.4%) of participants had history of previous incarceration. More than one-fourth (27.4%) of them stayed for <4 months in prison and the median time spent in prison was 10 months with an interquartile range of 20 months. About 7/16th (44.9%) thought that life might be difficult after release from prison. About one-fifth (19.0%) of respondents had work opportunities within the prison of whom 23 (6.9%) engaged in wood work. About half (50.9%) of respondents reported having poor social support

3.3. Clinical Factors Characteristics

The study revealed that about one-sixth (16%) of respondents had chronic physical illness. One in every eleven (9%) of the respondents had history of past mental illness (Table 2).

Table 2: Clinical factors and Lifetime substance use characteristics of study participants among prisoners in Jimma town prison, South West Ethiopia, June 2017 ().

Study variables
Frequency ()
Percentage (%)

Family member with mental illness

    Yes
57
17.2

    No
275
82.8

Chronic physical illness

    Yes
53
16.0

    No
279
84.0

Past mental illness

    Yes
30
9.0

    No
302
91.0

Alcohol Use (lifetime)

    Yes
72
21.7

    No
260
78.3

Khat Use (lifetime)

    Yes
56
16.9

    No
276
83.1

Cigarette smoking (lifetime)

    Yes
152
45.8

    No
180
54.2

Cannabis/shisha/ganga use (lifetime)

    Yes
22
6.6

    No
310
93.4

Heart disease, hypertension, diabetes mellitus, epilepsy, HIVV/AIDS, and asthma.

3.4. Prevalence of Depression

The prevalence of depression among prisoners in Jimma town prison over the past couple of weeks was found to be 41.9% (three in every seven) with a 95% CI and 36.7–46.7%. Of the total number of participants 13% had mild, 20% had moderate, and 9% had severe depression. About 44 (13.2%) of participants were found to have no depression (normal) and 149 (44.9%) had borderline clinical depression.

3.5. Factors Associated with Depression

Socioeconomic and prison environment characteristics of respondents like marital status, residence before incarceration, occupation, educational status, having children, duration of stay in prison, acceptance for the charge of crime, and opportunity to pray in prison did not show association with depression in the bivariate analysis. However, being female, being in the age group between 21 and 25 years, previous history of incarceration, thinking life to be a difficult experience after release from prison, lack of opportunity for job in the prison, type of criminality, presence of family member with mental illness, presence of chronic physical illness, past mental illness, and poor social support were associated with depression in the bivariate analysis (Table 3).

Table 3: Factors associated with depression by bivariate logistic regression among prisoners in Jimma town prison, South West Ethiopia, June 2017 ().

Study variables
Depression
COR (95% CI)
-value

Yes
(%)
No
(%)

Gender

    Female
14 (66.7)
7 (33.3)
2.97 (1.17, 7.58)
0.022

    Male
125 (40.2)
186 (59.8)
1

Age (year)

    18–20
29 (35.4)
53 (64.6)
0.69 (0.41, 1.17)
0.17

    21–25
43 (55.1)
35 (44.9)
2.02 (1.21, 3.38)
0.007

    26–33
36 (40.0)
54 (60.0)
0.9 (0.55, 1.47)
0.64

    >34
31 (37.8)
51 (62.2)
1

Marital status

    Married
55 (41.8)
77 (58.3)
1

    Single
71 (39.4)
109 (60.6)
0.805 (0.519, 1.25)
0.33

    Other
13 (65.0)
7 (35.0)
2.741 (1.06, 7.062)
0.037

Ethnicity

    Oromo
94 (43.1)
124 (56.9)
1

    Amhara
22 (43.1)
29 (56.9)
1.06 (0.582, 1.943)
0.842

    Dawuro
10 (29.4)
24 (70.6)
0.546 (0.252, 1.182)
0.125

    Other
13 (44.8)
16 (55.2)
1.14 (0.53, 2.45)
0.735

Religion

    Muslim
80 (42.3)
109 (57.7)
1

    Orthodox
47 (42.7)
63 (58.1)
1.05 (0.66, 1.67)
0.82

    Protestant
12 (36.4)
21 (63.6)
0.774 (0.367, 1.631)
0.5

Educational status

    Illiterate
24 (17.3)
23 (11.9)
0.986 (0.414, 2.35)
0.974

    1–8 grade
68 (48.9)
108 (56.0)
1.37 (0.667, 2.821)
0.391

    9–12 grade
35 (25.2)
46 (23.8)
0.828 (0.485, 1.412)
0.487

    Higher education
12 (8.6)
16 (8.3)
1

Occupation

    Unemployed
76 (54.7)
102 (52.8)
1.076 (0.695, 1.667)
0.742

    Employed
63 (45.3)
91 (47.2)
1

Residence before incarceration

    Rura
46 (40.0)
69 (60.0)
1

    Urban
93 (42.9)
124 (57.1)
1.125 (0.71–1.78)
0.616

Having children

    Yes
53 (38.1)
86 (61.9)
1

    No
81 (42.0)
112 (58.0)
0.852 (0.546, 1.331)
0.482

Previous incarceration

    Yes
23 (82.1)
5 (17.9)
7.45 (2.758–20.152)
<0.001

    No
116 (38.2)
188 (61.8)
1

Duration of stay in prison (in month)

    <4
35 (38.5)
56 (61.5)
1

    5–10
38 (45.2)
46 (54.8)
1.2 (0.73–1.98)
0.469

    11–24
37 (48.1)
40 (51.9)
1.39 (0.83–2.31)
0.21

    >25
29 (36.2)
51 (63.8)
0.73 (0.43–1.23)
0.243

Thinking life after released from prison is difficult

    Yes
77 (51.7)
72 (48.3)
2.08 (1.34–3.25)
0.001

    No
62 (33.9)
121 (66.1)

Acceptance of criminality

    No
91 (43.3)
119 (56.7)
1.179 (0.748–1.857)
0.48

    Yes
48 (39.3)
74 (60.7)
1

Criminal type

    Robbery
67 (46.5)
77 (53.5)
1

    Rape
8 (23.5)
26 (76.5)
0.35 (0.15, 0.83)
0.08

    Corruption
6 (27.3)
16 (72.7)
0.43 (0.16, 1.16)
0.90

    Murderer
45 (45.0)
55 (55.0)
0.94 (0.56, 1.57)
0.47

    Other
13 (40.6)
19 (59.4)
0.78 (0.36–1.71)
0.74

Pray in prison

    No
36 (75.0)
12 (25.0)
5.27 (2.627–10.581)
<0.001

    Yes
103 (36.3)
181 (63.7)
1

Having work in prison

    No
127 (47.2)
142 (52.8)
3.8 (1.94, 7.45)
<0.001

    Yes
12 (19.0)
51 (81.0)
1

Family with mental illness

    Yes
43 (75.4)
14 (24.6)
5.73 (2.98, 10.99)
<0.001

    No
96 (34.9)
179 (65.1)
1

Chronic physical illness

    Yes
36 (67.9)
17 (32.1)
3.62 (1.94, 6.77)
<0.001

    No
103 (36.9)
176 (63.1)
1

Past mental illness

    Yes
25 (83.3)
5 (16.7)
8.24 (3.07, 22.14)
<0.001

    No
114 (37.7)
188 (62.3)
1

Level of social support

    Strong
13 (26.0)
37 (74.0)
1

    Moderate
38 (33.6)
75 (66.4)
0.157 (0.09–0.277)
<0.001

    Poor support
88 (52.1)
81 (47.9)
16 (9.13–28.27)
<0.001

Alcohol use (life time)

    Yes
50 (69.4)
22 (30.6)
4.37 (2.49, 7.67)
<0.001

    No
89 (34.2)
171 (65.8)
1

Khat use (lifetime)

    Yes
82 (53.9)
70 (46.1)
2.53 (1.61, 3.95)
<0.001

    No
57 (31.7)
123 (68.3)
1

Cigarette smoking (lifetime)

    Yes
37 (66.1)
19 (33.9)
3.32 (1.81, 6.08)
<0.001

    No
102 (37.0)
174 (63.0)
1

Cannabis/shisha/ganja use(life time)

    Yes
17 (81.0)
4 (19.0)
6.58 (2.16, 20.03)
0.001

    No
122 (39.2)
189 (60.8)
1

Illegal trading, arson, related to government, and illegal marriage.

Regarding lifetime substance use bivariate analysis indicated that lifetime alcohol use, smoking cigarette, chewing khat and cannabis/shisha/ganja use were associated with depression and entered multivariate logistic regression model.

Multivariable logistic regression analysis revealed that having history of previous incarceration, having no opportunity for job in the prison, having family history of mental illness, having chronic physical illness, lifetime alcohol use, being in the age group between 21 and 25 years, having poor social support, and thinking life after released from prison is difficult had significant association with depression.

Accordingly, the odds of having depression among prisoners who were previously incarcerated were 3.26 times higher (AOR = 3.26, 95% CI = 1.02, 10.64) compared with those who were not previously incarcerated. The odds of having depression among prisoners who had no job in prison were 4.96 times higher (AOR = 4.96, 95% CI = 2.09, 11.80) than prisoners who had work in the prison. The odds of having depression were 6.05 times more (AOR = 6.05, 95% CI = 2.6, 13.80) among prisoners who had family member with mental illness as compared with prisoners who have no family members with mental illness. Prisoners who had chronic physical illness were 2.87 times (AOR = 2.87, 95% CI = 1.29, 6.41) more likely to develop depression than prisoners who have no chronic physical illness. Prisoners who were in the age group between 21 and 25 years were 2.04 times more likely (AOR = 2.04, 95% CI = 1.06, 3.89) to develop depression compared with prisoners in the age above 34 years. Prisoners who had poor social support were 2.2 times more likely (AOR = 2.2, 95% CI = 1.27, 3.82) to report depression than prisoners with strong social support. The odds of having depression among prisoners who were lifetime alcohol use were 3.61 times (AOR = 3.61, 95% CI = 1.80, 7.26) than prisoners who did not use alcohol in their lifetime. Prisoners who were thinking life after release from prison is difficult were 2.07 times more likely (AOR = 2.07, 95% CI = 1.2, 3.6) to develop depression when compared to those not thinking life after released from prison is difficult (Table 4).

Table 4: Factors associated with depression by multivariable logistic regression among prisoners in Jimma town prison, South West Ethiopia, June 2017 ().

Study variables
Depression
AOR (95% CI)
-value

Yes
(%)
No
(%)

Gender

    Female
14 (66.7)
7 (33.3)
2.35 (0.76, 7.25)
0.13

    Male
125 (40.2)
186 (59.8)
1

Age (year)

    18–20
29 (35.4)
53 (64.6)
1.04 (0.45, 2.40)
0.93

    21–25
43 (55.1)
35 (44.9)
2.04 (1.06, 3.89)
0.03

    26–33
36 (40.0)
54 (60.0)
0.93 (0.47, 1.81)
0.83

    >34
31 (37.8)
51 (62.2)
1

Previous incarceration

    Yes
23 (82.1)
5 (17.9)
3.26 (1.02, 10.64)
0.05

    No
116 (38.2)
188 (61.8)
1

Thinking life after released from prison is difficult

    Yes
77 (51.7)
72 (48.3)
2.07 (1.2, 3.6)
0.009

    No
62 (33.9)
121 (66.1)
1

Criminal type

    Robbery
67 (46.5)
77 (53.5)
1

    Rape
8 (23.5)
26 (76.5)
0.40 (0.14, 1.12)
0.08

    Corruption
6 (27.3)
16 (72.7)
0.93 (0.28, 3.02)
0.90

    Murderer
45 (45.0)
55 (55.0)
1.26 (0.66, 2.40)
0.47

    Other
13 (40.6)
19 (59.4)
0.85 (0.33, 2.18)
0.74

Having work in prison

    No
127 (47.2)
142 (52.8)
4.96 (2.09, 11.80)
<0.001

    Yes
12 (19.0)
51 (81.0)
1

Family with mental illness

    Yes
43 (75.4)
14 (24.6)
6.05 (2.60, 13.80)
<0.001

    No
96 (34.9)
179 (65.1)
1

Chronic physical illness

    Yes
36 (67.9)
17 (32.1)
2.87 (1.29, 6.41)
0.01

    No
103 (36.9)
176 (63.1)
1

Past mental illness

    Yes
25 (83.3)
5 (16.7)
2.87 (0.84, 9.80)
0.09

    No
114 (37.7)
188 (62.3)
1

Level of social support

    Strong
13 (26.0)
37 (74.0)
1

    Moderate
38 (33.6)
75 (66.4)
1.07 (0.43, 2.66)
0.88

    Poor support
88 (52.1)
81 (47.9)
2.20 (1.27, 3.82)
0.005

Alcohol use (life time)

    Yes
50 (69.4)
22 (30.6)
3.61 (1.80, 7.26)
<0.001

    No
89 (34.2)
171 (65.8)
1

Khat use (lifetime)

    Yes
82 (53.9)
70 (46.1)
1.71 (0.95, 3.07)
0.07

    No
57 (31.7)
123 (68.3)
1

Cigarette smoking (lifetime)

    Yes
37 (66.1)
19 (33.9)
1.78 (0.77, 4.10)
0.17

    No
102 (37.0)
174 (63.0)
1

Cannabis/shisha/ganja use (life time)

    Yes
17 (81.0)
4 (19.0)
2.08 (0.47, 9.24)
0.33

    No
122 (39.2)
189 (60.8)
1

Illegal trading, arson, related to government, and illegal marriage.

4. Discussion

This study revealed the overall prevalence of depression among prisoners to be 41.9%. The result is lined with studies carried out in US 43% [20], Brazil 40% [15], Nigeria 42.2% [14], and Ethiopia and Amhara 43.8% [5]. However, it was higher than the study done in Brazil 9.9% [15]. In systematic review of 2300 prisoners in western countries the prevalence of depression was 10% among men and 12% among women [6], South Africa 10.4% [11], Iran 29% [9], and Nigeri 30.8% [19].

Results of this study showed that history of previous incarceration and depression has significant association. This might be due to prisoners developing depression as a result of repeated exposure for the prison environment [26]. The study done previously showed that prisoners performing work inside the prison were less depressed which is similar to the current result. This might be because they become adjusted to the difficult life of prison and also when they perform income-generating jobs they get income and because of this they become less depressed [21].

Results of this study showed that having family history of mental illness is significant predictors for depression. Previous studies support this result [21, 27]. This might be due to mental illness having genetic base [3, 27, 28]. From this study there was statistically significant relation between chronic physical illness and depression. The possible reason could be that depression is more commonly encountered in people who have chronic physical illness [28]. This study showed that prisoners who had poor social support were more likely to develop depression. The possible reason could be that depressed prisoners are likely to suffer in many domains of life and appear less likely to adapt to prison or life thereafter.

Results of this study revealed that prisoners aged 21–25 years old were more likely to develop depression than those above the age of 34 years. Previous study done in US [8] is in line with this result. The possible reason could be individual with this age group is more likely to report alcohol and other substance use before incarceration which might lead them to develop depression. Other literatures also reported as depression being more common in this age group [10]. Lifetime alcohol use and being depressed were significantly associated. A study done in Egypt [21] and US [29] was in line with the current result. The possible reason could be that prison is stressful environment which make prisoners distressed [19].

The result of this study showed that those prisoners who think life to be difficult after release from prison were more depressed. The possible reason could be feeling of inadequacy; as the prisoners worry about their future life, they are easily affected by depression [12].

4.1. Strength of the Study

Strength of this study is that the severity of depression in addition to the prevalence is determined. In addition, the tool we used is standardized and internationally recognized screening tool is used with high reliability to screen depression regardless of population characteristics.

4.2. Limitations

The study however could suffer from the following limitations. This study was cross-sectional study design; it did not allow establishing a temporal relationship between depression and associated factors. The study was institution based which could limit its generalizability to normal population and clinical setting. The other limitation of the data is regarding depression-related questions. Recall bias regarding lifetime substance use and question to assess factors like belief that life after prison will be difficult, acceptance of crime done, and chronic illness were asked by single generated questions which have no internationalized cutoff point or no Likert scale.

The areas yet to be studied in this population are socioeconomic and prison environment characteristics of respondents like marital status, duration of stay in prison, and lifetime substance use like cigarette, khat, and cannabis use have no association with depression. The other important things that are yet to be studied which we saw during this study but are not included in our study are life style conditions of prisoners in prison like food, place of sleep, recreational activity, and bullying. There are other areas that need investigation.

5. Conclusion and Recommendation

In conclusion, depression among prisoners was found to be significantly high. Prisoners who had strong social support and performing work in prison were less likely to have depression while those who had previous incarceration, had family history of mental illness, had chronic physical illness, had lifetime alcohol use, thought life after release from prison is difficult, and were between the age of 21 and 25 years were more likely to have depression. Routine screening and availing treatment in the prison may be of great importance. Future studies investigating the negative consequence of depression among prisoners might be relevant. Interventional studies to identify effective interventions modalities for depression among prisoners might also be relevant.

Conflicts of Interest

The authors declared no conflicts of interest.

Authors’ Contributions

Zakir Abdu initiated the research, wrote the proposal, did data analysis, and wrote the manuscript. Mubarek Abera, Workinesh Tessema, Teshome Kabeta, and Lamessa Dube provided feedback and supervised the development of the proposal and the manuscript. All authors read and approved the final manuscript.

Acknowledgments

The authors are grateful to Jimma University and Mettu University for their support. They also thank all the data collectors and study participants who have kindly given them the necessary information.

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