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Depression and its associated factors among prisoners in East Gojjam Zone prisons, Northwest Ethiopia: a multi-centered cross-sectional study
European Journal of Medical Research volume 27, Article number: 136 (2022)
Little is known about the prevalence and risk factors for depression in this vulnerable population around the world, including Ethiopia. Furthermore, information on the health of inmates is limited. The study sought to assess the prevalence and associated factors for depression among prisoners in the East Gojjam Zone of Northwest Ethiopia.
Institution-based cross-sectional study was conducted in East Gojjam Zone prisons. Data were gathered from 462 eligible prisoners who were chosen using a computer-generated simple random sampling technique. The patient health questionnaire nine was used to assess an individual's depression level. The information was entered into Epi-Data Version 4.2 and exported to STATA Version 14.1 for further analysis. Variables with a P < 0.05 in the multivariable binary logistics regression were considered significant.
In this study the prevalence of depression among prisoners was 50.43% (95% CI 46–55%). Having work inside prison (AOR 0.6, CI 0.37–0.96), have no history of mental illness (AOR 0.37, 95% CI 0.16–0.85), had monthly income greater than 1500 birr (AOR 0.16, CI 0.05–0.5), Not thinking about the life after prison (AOR 0.4, 95% CI 0.27–0.64), and Prisoners who are sentenced for more than 5 years (AOR 2.2, CI 1.2–4), were significantly associated with depression.
According to this study, half of the prisoners in East Gojjam Zone prisons had depressive symptoms. Prisons should place a greater emphasis on the mental health of prisoners who have been sentenced for a long time, those who have a history of mental illness, and those who have no work in the prison.
Depression is a psychiatric disease characterized by a gloomy mood, a lack of interest or pleasure in activities, and a loss of energy that lasts 2 weeks or longer. Symptoms may include changes in food, weight, sleep, and motoric activity, as well as feelings of triviality or guilt, difficulty thinking, concentrating, or making decisions, and persistent thoughts of death or suicide plots or attempts . Depression entails more than simply feeling down or going through a difficult time. It is a major mental health problem that necessitates knowledge and treatment. Depression, if left untreated, may be disastrous for both the person suffering from it and their families. Mental diseases are prevalent in almost every country on the planet. In addition, it is estimated that 450 million people around the world suffer from mental illnesses [2, 3].
Several studies conducted in various countries consistently reported a gradual increase in depression morbidity across the general population. Depression affected over 350 million people worldwide. The severity of crime in prison far outweighs that of the general population. Prisoners all over the world are at a high risk of morbidity and victimization. Prisoners become depressed as a result of their living conditions, overcrowding, restrictions and lack of freedom, and other factors. Depression causes loss of freedom, insecurity about future prospects, insufficient health services, particularly mental health services, a lack of meaningful activities, a lack of social support, and interdependence [4,5,6,7].
When prisoners are afflicted with depression symptoms on a regular or chronic basis, it can lead to suicide. According to one study, one million people die each year as a result of suicide. This equates to 3000 deaths per day. Around one in every nine prisoners worldwide suffers from common mental health disorders, with depression symptoms being the most common. When compared to the general population, prisoners are 5 to 10 times more likely to suffer from depression [5, 8,9,10,11,12].
Various studies in various countries found that depressive symptoms are more prevalent in prisoners than in the general population. In Malaysia, 55.4% of prisoners were reported to be depressed . In France, the prevalence of depression on male prisoners was 17.9% . Prisoners in Iran (29%)  were depressed, as were those in Nigeria (42.2%) , Ethiopia Jimma (41.9%) , and Hawassa (56.4%) .
Despite the fact that more than two-third of incarcerated men and women live in low- and middle-income countries, the vast majority of evidence on mental disorders among prisoners is based on studies from high-income countries, providing implications that are hardly applicable or generalizable to low- and middle-income settings. The prevalence of psychiatric disorders in low-income countries’ penal justice systems may differ from that of high-income countries due to resource scarcity, cultural and legal factors .
In Sub-Saharan Africa, research on inmates’ mental health is limited, and largely focused on infectious disorders. Prisoners suffer from depression, which is a common public health issue. Inmates are frequently excluded from national health surveys, despite the fact that inmate populations are expanding, and information about prisoners’ mental health status in this subject area is scarce. Though there are some studies in the country, because prison administration varies from time to time and place to place, and this study specifically assessed depression, unlike other studies that focus on mental illness in general and identify factors related to depression.
Study design and period
From March 1 to March 30, 2019, an institution-based cross-sectional investigation was undertaken.
The research was carried out in jails in the East Gojjam Zone. The Amhara Region of Ethiopia has 11 zones, one of which is the East Gojjam Zone. With an estimated population of 3,800,000 people, the zone encompasses a total area of 1292.98 km2. During the study period, three prisons in the East Gojjam Zone housed a total of 2648 inmates. Debre–Markos town is 298 km from Addis Ababa and 265 km from Bahir Dar; Bichena town is 265 km from Addis Ababa and 185 km from Bahir Dar; and Motta town is 370 km from Addis Ababa and 120 km from Bahir Dar.
All prisoners found in East Gojjam Prisons available during the time of data collection period.
Prisoners who stayed in prison at least for 2 weeks and do not have severe illnesses.
Procedure for determining sample size
The maximum required sample size was determined by balancing two objectives. The sample size for the first objective was calculated using a single population proportion formula while taking into account the following statistical assumptions: 95% confidence interval, power, 80%, and 5% marginal error. Depression prevalence (P = 44%) was derived from a previous study 
The calculated value of the initial sample size was 37 using the above formula. The sample size for the second objective was calculated using the Epi info statistical package version 7 software by considering the prior stud’s significant factors. Power 80% and CI 95% were utilized as assumptions. As a result of the assumption, the highest needed sample size estimated with Epi information was 422. The total sample size was 464 after accounting for a 10% nonresponse rate (Table 1).
A proportional fraction of the total sample size was given to each prison. The formula ni = Ni n/N was applied for the three jails. The study participants in each prison were then picked using a simple random sampling technique utilizing a computer-generated random sample technique (Fig. 1).
Data collection tools and procedure
Data were collected by five trained psychiatry nurses using structured questionnaire through face-to-face interview method (Additional file 1). Questionnaires had four parts, which are socio-demographic characteristics, environmental conditions of prisoners in prison, Patient health questionnaire nine (PHQ9), which contained nine questions each measuring a problem that the prisoners bothered in the last 15 days was used to measure depression with scale measurement ranging from 0 (not at all) to 3 (nearly every day) and clinical factors assessment tool.
PHQ-9 is a validated and widely used tool used to assess depression in Ethiopia in clinical and community settings [20,21,22]. The PHQ-9 has good reliability and validity [sensitivity (86%) and specificity (67%)] for diagnosing MDD among Ethiopian adults. The internal consistency reliability was also found to be excellent 0.92 and Cronbach’s alpha of 0.81. A threshold of ten on the PHQ-9 was the most appropriate cut off and offered the optimal discriminatory power in detecting depression . This tool also used by different studies previously on inmates in Ethiopian and its reliability is confirmed [24,25,26].
Receiver operating characteristics curve (ROC) analysis was done using STATA version 14.1software to cheek the recommended cut of value with maximum sensitivity and specificity. An individual was considered as in a state of depression if he or she scores 10 and above. Within our data the ROC area was 0.99935 at cutoff 10. The tool validation test was also done in Ethiopia  and cut off value ≥ 10 to screen depressive symptoms is recommended by different literatures [27,28,29]. OSLO-3 which contains three items was used to assess the social support status . Using the OSLO-3 scale, an individual is deemed to have weak social support if he or she scores 3–8, moderate social support if he or she scores 9–11, and good social support if he or she scores 12–14 .
Data processing and analysis
Epi-Data version 4.2 was used to enter the data, which was cheeked for completeness and consistency. The data was then exported to the STATA statistical program version 14.1 for additional analysis. Tables, graphs, and texts were used to calculate and describe descriptive statistics, such as frequency tables. The binary logistic regression models were used to discover factors linked to depression among jail inmates. The multivariable logistic regression model was fitted with variables that had a P value of less than 0.25 in the bivariable analysis. The Hosmer and Lemshow goodness of fit test was used to assess model fitness, yielding a P value of 1.15. Finally, in multivariable analysis, variables with a P value less than 0.05 at the 95% confidence range were judged to be factors substantially associated with depression.
Data quality control
To assure data quality, pretest was done among 5% (22 participants) of a total respondent who are randomly selected from Finot–Selam town prisoners check the understandability and reliability of the questionnaires. The questionnaire is written in English and then translated into Amharic, and back to English language to check consistency of the questionnaire. Two days training for five data collectors and three supervises was given on the study instrument, data collection procedure and the ethical principles of confidentiality. The collected data was reviewed and checked for completeness and relevance by the supervisors and principal investigator each day.
The ethical clearance was obtained from the ethical review committee of the University’s Health Science College. Permission letters were also obtained from each of the three prison administration offices. Each study participant provided informed verbal consent prior to data collection. Furthermore, the information gathered from the respondent prisoners was used solely for research purposes and was kept strictly confidential. Furthermore, the names of study participants were not included to maintain confidentiality. Prisoners who became severely depressed during the interview were referred to health services and contacted by guidance counseling personnel at the prison.
A total of 464 prisoners were sampled to be included in the study, and 462 (99.5%) agreed to participate. The respondents’ median age was 30 years, with an interquartile range (IQR = 24–40) years. The majority of the respondents, 411 (88.96%) were men. The majority of those who responded were Orthodox Christians (95.88%). From a total of 462 respondents, 123 (26.62%) could not read or write and 22 (4.76%) had a diploma or higher educational level. Three hundred nine (66.88%) of the 462 respondents were from rural areas. The majority of the 452 respondents (97.84%) were Amhara by ethnicity. More than half 274 (59.31%) of study participants were married. In addition, 276 (59.74%) had children (Table 2).
Prisoner’s prison environment related characteristics
From a total of 462 study participants, 53 (11.47%) are awaiting trial and 10 (2.16%) have been sentenced to life in prison. From the criminality type that the prisoner was sentenced for, 193 (41.8%) of total respondents were sentenced for murder. Among respondent prisoners who knew their sentenced year, 209 (51.9%) were sentenced for more than 5 years. One hundred ninety-seven (42.64%) of the prisoners refused to accept the reason for their incarceration. In addition, of those who knew their time in prison, 243 (59.41%) did not accept the total penalty year. The study participants’ median time in prison was 5.6 years (IQR = 2–15). Approximately 232 (50.22%) of prisoners were concerned about the difficulties they would face after being released from prison and 286 (61.9%) of the total respondents worked in prison. Participants with poor social support were 227 (49.13%).
Clinical factors characteristics of prisoners
There were 133 (28.79%) study subjects who had chronic physical illness out of a total of 462 respondents and 42 (9.09%) of the respondents had a history of mental illness, in addition, 47 (10.17%) of study subjects had a family history of mental illness.
Life time substance use characteristics of prisoners
According to the study, approximately half (50%) of the respondents had a history of lifetime alcohol use. About (41.99%) of the alcohol consumed was a local drink (“Tela”). Approximately 7.6% and 6.7% of respondents, respectively, had a lifetime history of chat and cigarette use.
Prevalence of depression
Based on the PHQ9 tool assessment, approximately half (50.43%) of study participants were identified as having depressive symptoms in the previous 2 weeks. In terms of depression, approximately (15.8%) of participants had minimal depression, while approximately (11.04%) of participants had severe depression (Fig. 2).
Factors associated with depression among prisoners
Variables such as residency, work inside the prison, monthly income, history of mental illness, current chronic illness, total penalty year spent in prison, thinking about life after prison, and social supports had a P value less than 0.25 and were exported to multivariable analysis. In the final model, variables such as having work inside the prison, length of sentenced year, history of mental illness, income per month greater than 1500 birr, and not thinking about life after release had a P value less than 0.05 and were thus significantly associated with depression (Table 3).
In this study, prisoners who worked inside the prison were 40% less likely to develop depression (AOR 0.6, CI (0.37–0.96) than those who did not work inside the prison. Inmates with no history of mental illness were 63 percent (AOR 0.37, CI 0.16–0.85) less likely to develop depression than those with a history of mental illness. Prisoners with a monthly income of more than 1500 birr were 84% (AOR 0.16, CI 0.05–0.5) less likely to develop depression than those with a monthly income of less than 500 birr. The odds of developing depression among prisoners who were sentenced for more than 5 years was 2.2 times higher (AOR 2.2, CI (1.2–4) as compared to those prisoners who were sentenced for less than 1 year. Moreover, the study indicated that prisoners who do not think about their life after released were 60% (AOR 0.4, (CI (0.27–0.64) less likely to develop depression as compared to those prisoners who thinks about their future life.
This institution-based cross-sectional study was carried out to determine the prevalence of depression and to identify risk factors for depression among prisoners in East Gojjam, Zone prisons. According to this study, the overall prevalence of depression among prisoners is 50.43% (CI 95%, 45,55%). This study’s findings are consistent with those of a previous study conducted in Bahir–Dar, Ethiopia (45.5%) .
However, this findings is higher than the studies conducted in Northwest Amhara (43.8%) , Jimma Town (41.9%) , in Nigerian (42.2%) , in Iran (29%) , and in France (17.9%) . On the contrary the prevalence obtained from this study was lower than the studies done in Hawassa Town (56.4%) , Mekelle Ethiopia (55.9%) , and Malaysia (55.4%) . The above variations could be explained by differences in the tool used to measure depression, the cut of value, the study settings, the length of sentenced year difference, and differences in the environmental characteristics of prisons.
In this study, prisoners who worked inside the prison were 56% less likely to develop depression than those who did not work inside the prison. The findings are consistent with previous research conducted in Brazil , Hawassa Central Prison , and Jimma Town Prisoner . It is well known that working gives people pleasure in a variety of ways; it can be a way for them to spend their time, earn money, support their families, and live a better life both inside and outside of prison. Prisoners who had no past history of mental illness were 63% less likely to develop depression as compared to those who had history of mental illness. The finding is similar with study in Hawassa Central prison, Ethiopia , in Nigeria , and in France . The possible reason is might be due to that prison environment can easily stimulates past mental health problems and leads to depression. When compared to convicts with a monthly income of less than 500 Ethiopian birr, individuals with a monthly income of more than 1500 Ethiopian birr were 84% less likely to develop depression. The likely answer is that having enough birr is utilized for many things, and inmates want to go about their daily lives as usual, and they need things such as food, clothing, and as much as possible to maintain their families and their lives in and outside jail which could reduce stress. Supportive findings are documented in Hawassa, Ethiopia  and Kenya .
The odds developing depression among prisoners who are sentenced for more than 5 years was 2.2 times higher as compared to prisoners who are sentenced for < 1 year. The possible explanation for this is that as the length of time spent in jail increases, convicts may become more concerned about their future. Furthermore, life in prison inhibits their freedom of movement, separation from their loved ones, denial of sexual intimacy, and many other aspects of their lives that are not typical. As a result, staying in prison for a longer period of time will make you depressed. These finding was supported by studies done in Bahir–Dar Town , and United Kingdom .
Furthermore, this study found that prisoners who did not consider life difficulties after prison were 60% less likely to develop depression than those who did consider life difficulties after prison. This can be explained by the fact that, physiologically, more thinking can lead to anxiety, stress, and depression. When prisoners consider their life after release from prison, they may be concerned about a variety of issues. Because they are incarcerated, their home, family, and resources may be lost, and starting a new life may be the main challenge, so prisoners may develop depression when they consider the difficulties of life after incarceration. Supportive findings are documented in Northwest Amhara , and in Jimma town prison, Ethiopia .
In resource poor countries, the magnitude of psychiatric disorders in prison populations is higher than in the general population. The prevalence could even be higher than in high-income countries. Because correctional facilities in low-income economies frequently lack basic treatment resources, the implementation of cost-effective interventions and scalable treatments for individuals suffering from depression is required.
According to this survey, half of the inmates in East Gojjam prisons suffer from depression. In comparison to their counterparts, convicts who had no work in jail, had a history of mental illness, had a lower monthly income, and worried about life after prison were more likely to develop depression. According to the findings of this study, all prisoners who are severely depressed should be treated and assisted in their rehabilitation. Prisoners must be involved in work and given more opportunities to earn money. Prison administration officers must teach poisoners how to live their lives after they are released from prison. The assigned professionals in prison who provide counseling should address effective counseling, screening, and evaluating the depression status of the prisoners. It would be preferable if special training and counseling were provided for prisoners with a history of mental illness as well as those who have been incarcerated for an extended period of time. Nongovernmental organizations (NGOs), and the government would benefit from a greater emphasis on prisoner health.
Limitations of the study
Due to the nature of the cross-sectional study design, the study had its own limitations; it does not identify the temporal relationship between associated factors and depression. Because the study was conducted only in prisons, it does not generalize to the general population. Some of the reports were based on prior events, which can lead to recall bias. Alcohol drinking, Khat chewing, and other substances are delicate topics that might lead to social desirability bias.
Availability of data and materials
All the data are available from the corresponding author up on a reasonable request.
Adjusted odds ratio
Crude odds ratio
Patient health questionnaire
World Health Organization
American Psychiatric Association A. Diagnostic and statistical manual of mental disorders. DC: American Psychiatric Association Washington; 1980.
Brundtland GH. Mental health: new understanding, new hope. JAMA. 2001;286(19):2391.
Vigo D, Thornicroft G, Atun R. Estimating the true global burden of mental illness. Lancet Psychiatry. 2016;3(2):171–8.
Brink J. Epidemiology of mental illness in a correctional system. Curr Opin Psychiatry. 2005;18(5):536–41.
Fazel S, Hayes AJ, Bartellas K, Clerici M, Trestman R. Mental health of prisoners: prevalence, adverse outcomes, and interventions. Lancet Psychiatry. 2016;3(9):871–81.
Marcus M, Yasamy MT, van Ommeren Mv, Chisholm D, Saxena S. Depression: a global public health concern; 2012.
Rao G, Manaf RA, Minhat HS. A review on determinants of depression among adult prisoner. Malays J Med Health Sci. 2015;14(2):75–87.
Abdu Z, Kabeta T, Dube L, Tessema W, Abera M. Prevalence and associated factors of depression among prisoners in Jimma Town Prison, South West Ethiopia. Psychiatry J. 2018. https://doi.org/10.1155/2018/5762608.
Fazel S, Danesh J. Serious mental disorder in 23 000 prisoners: a systematic review of 62 surveys. Lancet. 2002;359(9306):545–50.
Hawton K, Linsell L, Adeniji T, Sariaslan A, Fazel S. Self-harm in prisons in England and Wales: an epidemiological study of prevalence, risk factors, clustering, and subsequent suicide. Lancet. 2014;383(9923):1147–54.
Kumar KS, Srivastava S, Paswan S, Dutta AS. Depression-symptoms, causes, medications and therapies. Pharma Innov. 2012;1:37.
Shibre T, Hanlon C, Medhin G, Alem A, Kebede D, Teferra S, et al. Suicide and suicide attempts in people with severe mental disorders in Butajira, Ethiopia: 10 year follow-up of a population-based cohort. BMC Psychiatry. 2014;14(1):1–12.
Rao G, Minhat HS, Sahar HK, Mukhtar F. A mixed method study protocol on contributing factors of depression among adults inmates in a local prison Malaysia. Int J Acad Res Bus Soc Sci. 2018. https://doi.org/10.6007/IJARBSS/v8-i2/3974.
Falissard B, Loze J-Y, Gasquet I, Duburc A, De Beaurepaire C, Fagnani F, et al. Prevalence of mental disorders in French prisons for men. BMC Psychiatry. 2006;6(1):1–6.
Assadi SM, Noroozian M, Pakravannejad M, Yahyazadeh O, Aghayan S, Shariat SV, et al. Psychiatric morbidity among sentenced prisoners: prevalence study in Iran. British J Psychiatry. 2006;188(2):159–64.
Uche N, Princewill S. Clinical factors as predictors of depression in a Nigerian prison population. J Psychiatry. 2015;19(1):1–6.
Bedaso A, Kediro G, Yeneabat T. Factors associated with depression among prisoners in southern Ethiopia: a cross-sectional study. BMC Res Notes. 2018;11(1):1–6.
Baranyi G, Scholl C, Fazel S, Patel V, Priebe S, Mundt A. Severe mental illness and substance use disorders in prisoners in Low-and Middle-Income Countries: a systematic review and meta-analysis of prevalence studies. SSRN Electron J. 2018. https://doi.org/10.2139/ssrn.3235631.
Beyen TK, Dadi AF, Dachew BA, Muluneh NY, Bisetegn TA. More than eight in every nineteen inmates were living with depression at prisons of Northwest Amhara Regional State, Ethiopia, a cross sectional study design. BMC Psychiatry. 2017;17(1):1–9.
Degefa M, Dubale B, Bayouh F, Ayele B, Zewde Y. Validation of the PHQ-9 depression scale in Ethiopian cancer patients attending the oncology clinic at Tikur Anbessa specialized hospital. BMC Psychiatry. 2020;20(1):1–7.
Hanlon C, Medhin G, Selamu M, Breuer E, Worku B, Hailemariam M, et al. Validity of brief screening questionnaires to detect depression in primary care in Ethiopia. J Affect Disord. 2015;186:32–9.
Woldetensay YK, Belachew T, Tesfaye M, Spielman K, Biesalski HK, Kantelhardt EJ, et al. Validation of the Patient Health Questionnaire (PHQ-9) as a screening tool for depression in pregnant women: afaan oromo version. PLoS ONE. 2018;13(2):e0191782.
Gelaye B, Williams MA, Lemma S, Deyessa N, Bahretibeb Y, Shibre T, et al. Validity of the patient health questionnaire-9 for depression screening and diagnosis in East Africa. Psychiatry Res. 2013;210(2):653–61.
Alemayehu F, Ambaw F, Gutema H. Depression and associated factors among prisoners in Bahir Dar Prison Ethiopia. BMC Psychiatry. 2019;19(1):1–7.
Reta Y, Getachew R, Bahiru M, Kale B, Workie K, Gebreegziabhere Y. Depressive symptoms and its associated factors among prisoners in Debre Berhan prison, Ethiopia. PLoS ONE. 2020;15(3):e0220267.
Welu SG, Aregawi DH, Gebreslassie HT, Kidanu KG. Prevalence and associated factors of depressive disorder among prisoners in Mekelle General Prison Center, Tigray, Ethiopia: a cross-sectional study design. Depression Res Treat. 2021;2021:1–11.
Kohrt BA, Luitel NP, Acharya P, Jordans MJ. Detection of depression in low resource settings: validation of the Patient Health Questionnaire (PHQ-9) and cultural concepts of distress in Nepal. BMC Psychiatry. 2016;16(1):1–14.
Muñoz-Navarro R, Cano-Vindel A, Medrano LA, Schmitz F, Ruiz-Rodríguez P, Abellán-Maeso C, et al. Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres. BMC Psychiatry. 2017;17(1):1–9.
Zhong Q, Gelaye B, Rondon M, Sánchez SE, García PJ, Sánchez E, et al. Comparative performance of patient health questionnaire-9 and Edinburgh postnatal depression scale for screening antepartum depression. J Affect Disord. 2014;162:1–7.
Amha H, Fente W, Sintayehu M, Tesfaye B, Yitayih M. Depression and associated factors among old age population in Dega damot district, North West Ethiopia. A cross-sectional study. J Affect Disord Rep. 2020;2:100034.
Constantino P, Assis SGd, Pinto LW. The impact of prisons on the mental health of prisoners in the state of Rio de Janeiro Brazil. Cien saude colet. 2016;21:2089–100.
Kinyanjui DW, Atwoli L. Substance use among inmates at the Eldoret prison in Western Kenya. BMC Psychiatry. 2013;13(1):1–8.
Murdoch N, Morris P, Holmes C. Depression in elderly life sentence prisoners. Int J Geriatr Psychiatry. 2008;23(9):957–62.
The authors would like to express their heartfelt gratitude to the data collectors, supervisor, and study participants for devoting their time to participate in the study. We would also like to thank all of the administrators at each prison for assisting us in obtaining study subjects and facilitating the data collection process.
The authors of this research have no a specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Ethics approval and consent to participate
Ethical clearance was obtained from Ethical Review Committee of the University’s Health Science College. Those people who have no willing to participate in the study were not forced to participate. Informed verbal consents was obtained from each study participants. The study participants were also provided with information about the objectives and expected outcomes of the study. Information obtained from individual participants was kept secure and confidential.
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Tiruneh, T., Amha, H., Sintayehu Bitew, M. et al. Depression and its associated factors among prisoners in East Gojjam Zone prisons, Northwest Ethiopia: a multi-centered cross-sectional study. Eur J Med Res 27, 136 (2022). https://doi.org/10.1186/s40001-022-00766-0
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