- Received April 02, 2023
- Accepted April 22, 2023
- Publication April 28, 2023
- Visibility 5 Views
- Downloads 0 Downloads
- DOI 10.18231/j.jchm.2023.007
-
CrossMark
- Citation
A cross-sectional study on health status of convicted prisoners in a central jail of central India
- Author Details:
-
Shyam M Rathod *
-
Sushama Subhash Thakre
-
Ashok Jadhao
-
Subhash Thakre
-
Sanjay Agrawal
Introduction
Health care in prisons is one of the neglected health areas in our country, looking in to the health problem of prisons will show us a way for the approach in providing a healthcare for prisoners.[1]
For every human being, it is a fundamental right to enjoy the highest attainable standard of physical and mental health without discrimination. However, the prisoners are most condemned living souls of the society have their health condition usually ignored. Hence, it is evident that they carry more disease burden than others in society.[2]
Overcrowding makes environment worst for prisoners. Crime is man-made concept, crime and its relation to various Socio-demographic factors has been subject of debates since time Immoral. The quantity and quality of prison population is directly associated with the quality and the nature of crime prevalent in the underlying population. All the countries experience crime, violence and victimization although the extent may vary. This may result in to some of the following problems: high proportions of young men being killed before they live their productive life fully, societies with children losing their parents or with members in prison, who are living in poverty and without access to support or legitimate sources of income.[3]
The planning and implementing prevention strategies and interventions can bring about long-term reductions in expenditure on criminal justice, health and other services. There is clear evidence that well planned crime prevention strategies not only prevent crime and victimization, but also promote community safety and contribute to the sustainable development of countries.[2], [4]
Hence, this study aim to assess health status among jails prisoners of central jail in central India.
Aim and Objectives of Study
To assess the health status of convicted prisoners.
To study socio-demographic profile of prisoners.
To give suitable recommendation based on study findings.
Materials and Methods
A written permission was obtained from institutional ethics committee Indira Gandhi Gov. medical college, Nagpur and Dy. superintendent of central jail before commencing the study. A cross-sectional study was conducted among convicted prisoners of central jail in central India for the period of one year (July 2021 to July 2022). This study was conducted among 225 convicted prisoners by using pre-designed and pretested proforma.participant was selected by systemic random sampling. Face to face interview was carried out for obtaining data.
Ethical considerations
Approval from Institutional Ethics Committee (IEC) and Maharashtra University of health sciences (MUHS), Nasik was obtained prior commencing the study.
A written permission was obtained from the Dy. Inspector General of Prisons, eastern region, central India as well as Superintendent of Central Jail.
Written informed consent (either of Annexure-II, III, IV, English, Marathi, and Hindi respectively) was obtained from each of the study participant before collecting data.
The BDI-II is a 21-item inventory designed to assess the presence and severity in depressive symptoms, each item is rated on a 4 point likert scale ranging from 0 to 3, so minimum score is 0 and maximum score is 63. Reliability and validity were checked across the world and it shows good result. Beck Depression Inventory-II is positively correlated with other depression scale like Hamilton depression scale, PHQ-9 scale.
The total score ranges from 0 to 63, with higher scores indicating more severe depressive symptoms.
The diagnosis made by clinical examination was confirmed by the case records (if any). Certain chronic diseases like Diabetes mellitus, Epilepsy, mental illness, ringworm infestation etc., already diagnosed by medical specialists with necessary investigations were accepted.
Blood pressure measurement
Before starting BP measurement participant was sitting quietly for at least 5 minutes. AMRON Blood pressure monitor was used to measure blood pressure (BP). BP was measured in sitting position, in right arm, at least three readings over the period of 3 minutes taken and last reading was recorded.
Haemoglobin estimation was done by using digital haemoglobinometre (Pocketchem Haemoglobinometre Arkray).
Inclusive criteria
Convicted prisoners who were 18 years and above. Prisoners spent at least 3 months in jail.
Exclusive criteria
Under trial prisoners and those will not give consents.
Sample size
Sample size determination:[1]
The calculation of required sample size was carried out using prevalence p as *18.5% and an allowable error of 5% of prevalence and using formula: -
n=Z2*(p)*(1-p)e2
Where,
n is estimated sample size
p is prevalence 18.5% (i.e. morbidity among jail prisoner)
z is statistic for 95% level of confidence limit (1.96)
e is acceptable sampling error 5%
Sample size came 225
A systematic random sampling was done using the prisoner list and the sampling interval size sampling interval (k) = N/n, K=700/225
Where N is total convicted prisoner in jail and n is sample size while k is sampling interval size.
Therefore k ≅ 3 hence every 3rd prisoner on the list was selected.
List prisoner from 1 to 700 and then 1st prisoner was selected by random number generation between 1 to 3 (2nd was came by random number generation)
1st prisoner selected= the 2nd on the list
2nd prisoner selected =2+3, the 5th on list and so on.
Analysis
Data was checked for consistency and completeness and entered in to MS excel, licensed version SPSS 26 was used for analysis. Descriptive statistics like mean, standard deviation and percentages used describe the findings.
Results
|
Characteristics & Category |
n |
% |
|
Age group (in years) |
|
|
|
20-29 |
27 |
12 |
|
30-39 |
72 |
32 |
|
40-49 |
65 |
29 |
|
50+ |
61 |
27 |
|
Sex |
|
|
|
Male |
212 |
94 |
|
Female |
13 |
06 |
|
Place of residence |
|
|
|
Urban |
122 |
54 |
|
Rural |
103 |
46 |
|
Marital Status |
|
|
|
Married |
142 |
63 |
|
Never married |
47 |
21 |
|
Widow/widower** |
21 |
09 |
|
Separated |
9 |
04 |
|
Divorced |
6 |
03 |
|
Educational status |
|
|
|
Post-graduate or professional |
7 |
03 |
|
Graduate |
24 |
11 |
|
Diploma or intermediate |
21 |
09 |
|
High school |
49 |
22 |
|
Middle School |
56 |
25 |
|
Primary School |
36 |
16 |
|
Illiterate |
32 |
14 |
|
Occupational status |
|
|
|
Professional |
5 |
02 |
|
Semi professional |
8 |
04 |
|
Clerical/Shop /Farmer* |
28 |
12 |
|
Skilled worker |
38 |
17 |
|
Semiskilled |
46 |
20 |
|
Unskilled worker |
82 |
36 |
|
Unemployed |
14 |
06 |
|
Home makers |
3 |
1.6 |
|
Retired |
1 |
0.4 |
|
Socio- economic class |
|
|
|
Class-I |
37 |
16 |
|
Class-II |
39 |
17 |
|
Class-III |
89 |
40 |
|
Class-IV |
52 |
23 |
|
Class-V |
8 |
04 |
|
Type of Family |
|
|
|
Nuclear |
108 |
48 |
|
Joint |
67 |
30 |
|
Three generation |
9 |
04 |
|
Other* |
41 |
18 |
|
Religion |
|
|
|
Hindus |
151 |
67 |
|
Muslims |
42 |
19 |
|
Buddhists |
27 |
12 |
|
Christians |
4 |
1.7 |
|
Sikhs |
1 |
0.3 |
|
Type of crime |
n(225) |
% |
|
Murder |
86 |
38% |
|
Rape |
82 |
36% |
|
Molestation |
6 |
3% |
|
Fraud |
8 |
4% |
|
Attempted murder |
9 |
4% |
|
Dacoits |
4 |
2% |
|
Human trafficking and kidnaping |
3 |
1% |
|
Rape to minor* |
6 |
3% |
|
Sodomy |
2 |
1% |
|
Drugs peddlers |
5 |
2% |
|
Culpable homicide |
2 |
1% |
|
Rape with murder |
2 |
1% |
|
Bomb blast |
2 |
1% |
|
Other crime** |
8 |
4% |
|
Morbidity |
ICD -11 |
n-225 |
% |
|
Anaemia |
3A00 |
152 |
68 |
|
Depression |
F32 |
111 |
49 |
|
Hypertension |
BA00 |
59 |
26 |
|
Low back pain (unspecified) |
ME84.Z |
27 |
12 |
|
Ringworm of groin |
1F28.3 |
20 |
8.8 |
|
Diabetes mellitus |
5A11 |
16 |
7.1 |
|
Insomnia |
7A00 |
15 |
6.6 |
|
Mental illness |
6E8Z |
11 |
4.8 |
|
Asthma |
CA23 |
11 |
4.8 |
|
Near vision deficient |
9D91 |
10 |
4.4 |
|
Urinary incontinence |
MF50.2Z |
8 |
3.5 |
|
Toothache |
DA0A.Y |
4 |
1.7 |
|
Haemorrhoids |
DB6Z |
7 |
3.1 |
|
Epilepsy |
8A6Z |
3 |
1.3 |
|
Renal calculus |
2C90.Z |
3 |
1.3 |
|
Inguinal hernia |
DD51 |
3 |
1.3 |
|
HIV associated with Tuberculosis |
1C60.Z |
2 |
0.8 |
|
Hypothyroidism |
5A00.2Z |
2 |
0.8 |
|
Gastro-oesophageal reflux disease |
DA22.Z |
2 |
0.8 |
|
Sickle cell disease |
3A51.1 |
1 |
0.4 |
|
Varicose vein |
BD74.10 |
1 |
0.4 |
|
Sciatica |
ME84.3 |
1 |
0.4 |
|
Lipoma |
2E80.0Z |
1 |
0.4 |
[Table 1] shows distribution of study participants.
The mean±SD age in years of the study participant was 43.2±12.24.
Majority of study participants were belonged to 30 to 39 years of age group 72 (32%) followed by age group 40 to 49 years. In gender majority of study participants were male 212(94%) and 6% were females participants.
More than half of study participants were from urban area 122 (54%) while majority of study participants were married 142 (63%).
Majority of study participant had attended up to middle school 56 (25%) however only 7 (3%) had educated up to post-graduate or professional level.
Majority of participants were unskilled worker 82 (36%)while 89 (40%) participants were class III as Modified BG Prasad scale of socio- economic class.
Majority of study participants were Hindus 151 (67%) while most of the study participants came from nuclear type of family 108 (48%).
[Table 2] shows that distribution of study participant according to nature of crime in which most of the study participant had committed murder 86 (38%) followed by rape 82 (36%) then fraud and attempted murder 4% respectively, rape to minor 3% and 4% other crimes.
[Table 3] revealed that health status of study participants.
It is observed that 153 (68%) were anaemic followed by 111(49%) participants were depressed, 59 (26%) had hypertension, 16(7.1%) had type II DM, 11(4.8%) had mental illness, 20(8.8%) had ringworm infestation, 11(4.8%) had Asthma, 7(3.1) had haemorrhoids, 27 (12%) complained of low back pain, 3(1.3%) had epilepsy.
Discussion
The present study shows that prevalence of anaemia is higher as compared to study conducted by.[2], [3]
The present study also revealed that prevalence of depression among study participants higher as compared to study conducted by[4], [5], [6] however the study conducted by[7], [8] shows higher results as compared to present study.
In our study the prevalence of hypertension is 26% which is higher as compared to study conducted by.[3], [9], [10]
The present study also revealed that prevalence of type 2 diabetes mellitus among study participant is 7.1% which is lower as compared to study conducted by[11], [12], [13] however the study conducted by[14], [15], [16] shows inconsistence results.
Conclusion and Recommendation
The present study revealed that prevalence of anaemia is 68% followed by depression 49%, hypertension 26%, and type 2 diabetes mellitus 7.1%, low back pain and skin infection 12%, 8.8% respectively.
It is recommended that mental health care in prison especially depression should be improved through prompt and proper identification by giving psychotherapy, self-help strategy like meditation, yoga and religious activity. Regular screening and follow up should be done in prison for health conditions like anaemia, hypertension and other health problem.
Source of Funding
None.
Conflict of Interest
None.
References
- SD Kumar, SA Kumar, JV Pattankar, SB Reddy, M Dhar. Health status of the prisoners in a central jail of south India. Indian J Psychol Med 2013. [Google Scholar]
- A Kundu, L Patnaik, T Sahu, S Sahoo, SK Panigrahi. 1 SKP. Health Status of Inmates in an Open Prison: A Cross-Sectional Study in Eastern India. J Datta Meghe Inst Med Sci Univ 2018. [Google Scholar]
- A Bellad, V Naik, M Mallapur. Morbidity Pattern Among Prisoners of Central Jail, Hindalga, Belgaum, Karnataka. Indian J Community Med 2007. [Google Scholar]
- Y Reta, R Getachew, M Bahiru, B Kale, K Workie, Y Gebreegziabhere. Depressive symptoms and its associated factors among prisoners in Debre Berhan prison, Ethiopia. PLoS One 2020. [Google Scholar]
- G Shrestha, DK Yadav, N Sapkota, D Baral, BK Yadav, A Chakravartty. Depression among inmates in a regional prison of eastern Nepal: A cross-sectional study. BMC Psychiatry 2017. [Google Scholar]
- Y Reta, R Getachew, M Bahiru, B Kale, K Workie, Y Gebreegziabhere. Depressive symptoms and its associated factors among prisoners in Debre Berhan prison. PLoS ONE 2020. [Google Scholar]
- TM Khan, H Hussain, G Khan, A Khan, A Badshah, R Sarwar. Incidence of depression among incarcerated woman in central prison, peshawar, Pakistan. Eur J Gen Med 2012. [Google Scholar]
- S Tripathy, D Behera, S Negi, I Tripathy, M Behera. Burden of depression and its predictors among prisoners in a central jail of Odisha, India. Indian J Psychiatry 2022. [Google Scholar]
- SK Goyal, P Singh, PD Gargi, S Goyal, A Garg. Psychiatric morbidity in prisoners. Indian J Psychiatry 2011. [Google Scholar]
- S Sunderam, AP Kumari, S Kumar, G Kumari, V Kashyap. Health profile of the inmates at women prisoner ward, Ranchi: findings of a health camp. Int J Community Med Public Health 2021. [Google Scholar]
- N Uche, S Princewill. Clinical factors as predictors of depression in a Nigerian prison population. Afr J Psychiatry 2016. [Google Scholar] [Crossref]
- GRS Rao, HS Minhat, HK Shahar, F Mukhtar, Anusuyah. Prevalence and socio-demographic determinants of depression among inmates of a prison in Malaysia. Online J Health Allied Scs 2019. [Google Scholar]
- G Rao, RA Manaf, HS Minhat. A review on determinants of depression among adult prisoner. Mal J Med Health Sci 2018. [Google Scholar]
- RM D’Souza, T Butler, N Petrovsky. Assessment of cardiovascular disease risk factors and diabetes mellitus in Australian prisons: Is the prisoner population unhealthier than the rest of the Australian population. Aust N Z J Public Health 2005. [Google Scholar]
- SB Math, P Murthy, R Parthasarathy, CN Kumar, S Madhusudhan. . Mental health and substance use problems in prisons. The Bangalore prison mental health study: local lessons for national action 2011. [Google Scholar]
- G Temesgen, H Abdulkadir, M Girma, Z Gebru, NB Sidamo, G Temesgen. Magnitude of Depression and Its Associated Factors Among Prisoners in Arba Minch and Jinka Town, Southern Ethiopia. Psychol Res Behav Manag 2022. [Google Scholar]