Warning: fopen(/home/virtual/epih/journal/upload/ip_log/ip_log_2025-07.txt): failed to open stream: Permission denied in /home/virtual/lib/view_data.php on line 95 Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 96 Health inequalities of 57,541 prisoners in Korea: a comparison with the general population
Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Articles

Page Path
HOME > Epidemiol Health > Volume 43; 2021 > Article
Original Article
 Health inequalities of 57,541 prisoners in Korea: a comparison with the general population
Seohyun Yoon1,2orcid, Young-Su Ju3orcid, Jaehong Yoon1orcid, Ji-Hwan Kim1orcid, Bokyoung Choi1orcid, Seung-Sup Kim1,4,5orcid
Epidemiol Health 2021;43:e2021033.
DOI: https://doi.org/10.4178/epih.e2021033
Published online: May 6, 2021

1Department of Public Health Sciences, Korea University, Seoul, Korea

2Ewha Medical Research Institute, Ewha Womans University School of Medicine, Seoul, Korea

3National Medical Center, Seoul, Korea

4Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Korea

5Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA

Correspondence: Seung-Sup Kim Department of Public Health Sciences, Korea University, 145 Anam-ro, Seonbuk-gu, Seoul 02841, Korea E-mail: ssk3@korea.ac.kr
• Received: January 15, 2021   • Accepted: May 6, 2021

©2021, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev next
  • 16,267 Views
  • 384 Download
  • 4 Web of Science
  • 4 Crossref
  • 4 Scopus
Full Article

Download PDF Download PDF

  • OBJECTIVES
    This study aimed to examine health disparities between prisoners and the general population in Korea.
  • METHODS
    We sought to estimate the prevalence of 17 physical and mental diseases using the nationwide medication prescription dataset among the total population of prisoners (n=57,541) in Korea. Age- and sex- standardized prevalence ratios (SPRs) were estimated to compare the disease prevalence between the prisoners and the general population. The disease prevalence for the general population was calculated from the prescription dataset for a representative of the Korean population (n=926,246) from the 2013 Korean National Health Insurance Service-National Sample Cohort. Furthermore, the prevalence of these diseases was compared between prisoners and a low-income segment of the general population (n=159,781).
  • RESULTS
    Compared to the general population, prisoners had higher prevalence of almost all physical and mental diseases, including hyperlipidemia (SPR, 20.18; 95% confidence interval [CI], 19.43 to 20.94), pulmonary tuberculosis (SPR, 9.58; 95% CI, 7.91 to 11.50), diabetes (SPR, 6.13; 95% CI, 5.96 to 6.31), cancer (SPR, 2.36; 95% CI, 2.07 to 2.68), and depression (SPR, 46.73; 95% CI, 44.14 to 49.43). When compared with the low-income population segment, higher prevalence were still found among prisoners for most diseases, including pulmonary tuberculosis (SPR, 6.39; 95% CI, 5.27 to 7.67) and depression (SPR, 34.71; 95% CI, 32.79 to 36.72).
  • CONCLUSIONS
    We found that prisoners were more likely to be unhealthy than the general population, even in comparison with a low-income segment of the general population in Korea.
  • Keywords: Correctional health, Prison health, Prison healthcare, Prison inmates, Korea
Globally, there are more than 10 million people in prison, and this number is steadily increasing [1]. As of 2015, the United States (US) prison population was the world’s largest, with 2.2 million, followed by China with 1.6 million and Russia with 0.6 million [2]. In Korea, there are more than 54,000 prisoners, representing a rate of 106 per 100,000 based on an estimated national population of 51.17 million in 2019 [1,3].
Prisoners are one of the most vulnerable populations. Not only do they become marginalized through detention in prison and the attendant poor living conditions, but most also come from socioeconomically disadvantaged backgrounds [4-6]. Although prisoners have a constitutional right to health under international human rights law [7], previous studies have reported that prisoners’ access to healthcare and the quality of that care are often deficient [8,9]. Thus, they are more likely to have poor health status while in prison, which has the effect of widening the health inequality gap in society [5,6,10]. Furthermore, the health of prisoners can ultimately have a considerable influence on society, including the increased spread of infectious diseases or substantial financial burdens when they return to the community. Thus, it is necessary to pay attention systematically to the health of prisoners during their prison stay.
Many studies have consistently shown that prisoners have poorer health status than the general population [4,11-14]. Two studies in the US and Mexico reported that prisoners had a higher prevalence of several infectious and chronic diseases, including hepatitis, hypertension, diabetes, angina, myocardial infarction, and cancer than representative general population samples [15,16]. A review of 62 studies gathered from 12 developed countries found that prisoners were more likely to have a mental disorder than the general population, suggesting that typically about 1 in 7 prisoners have psychotic illnesses and/or major depression [17].
However, the previous literature regarding health disparities of prisoners has the following 2 limitations. First, few studies conducted to quantify the health disparities between prisoners and the general population using nationwide data. For example, a study in Japan showed that the incidence of tuberculosis among prisoners compared with the general population using annual reports of correctional statistics [18]. Second, most previous studies assessed disease prevalence based on datasets collected by self-reporting [19-21]. Considering that prisoners are not readily able to visit doctors, it seems probable that certain conditions are underreported in surveys.
To fill these gaps in knowledge, this study aimed to explore health disparities between prisoners and the general population in Korea, comparing the prevalence of 17 physical and mental diseases using a medication prescription dataset between the prisoners and the general population of Korea. Furthermore, we additionally compared the prevalence of these conditions between prisoners and a low-income segment of the general population because perisoners are more likely to have socioeconomically disadvantaged backgrounds [4-6].
Data sources and study population
In Korea, about 58,000 people were imprisoned in 53 correctional facilities in 2016. The Korean government operates 52 correctional facilities under 4 regional corrections headquarters in Seoul, Daegu, Daejeon, and Gwangju. About 300 prisoners are housed at 1 additional facility, which has been privately run since the end of 2010. This study included a total population of 57,541 prisoners in all 52 government correctional facilities. Data were drawn from official prison records, which were collected on September 30, 2016 by the Korea Ministry of Justice and publicly reported for the first time in a report of the National Human Rights Commission of Korea [22].
We compared prison data with a large nationally representative administrative dataset from the National Health Insurance Service-National Sample Cohort (NHIS-NSC), a population-based cohort established by the Korean National Health Insurance Service (NHIS). The NHIS for all citizens was initiated in 1963 according to the National Health Insurance Act in Korea. Currently, the NHIS maintains and manages all health service utilization in Korea. The detailed structure and function of NHIS have been described elsewhere [23]. The NHIS-NSC comprised 2.2% of the total eligible Korean population in 2002, and participants were followed until 2013. We used a dataset obtained in 2013 from the NHIS-NSC in Korea. This dataset contained 1,014,730 individuals, of whom we included 926,246 individuals in our study after excluding participants who were < 10 years old because this population does not exist in prisons.
Additionally, considering that prisoners are more likely to have socioeconomically disadvantaged backgrounds, we compared the prevalence of diseases between prisoners and the low-income general population. The study population of NHIS-NSC was divided into 3 groups: (1) National Medical Aid beneficiaries, (2) the self-employed insured group, and (3) the employed insured group. National Medical Aid beneficiaries were defined as eligible recipients under the Medical Care Assistance Act, which was enacted to contribute to the improvement of national health and the enhancement of social welfare by providing medical benefits to indigent people (e.g., recipients of medical benefits under the National Basic Living Security Act and disaster victims in Korea), similar to Medicaid in the US. The latter 2 groups were sub-classified into 10 segments according to their income level which was based on health insurance premium [23]. There was no overlap between the 3 groups (self-employed insured, employed insured, and National Medical Aid beneficiaries). For the additional analysis, the low-income general population was defined as the lowest 2 segments of income level (0-20%) and those who were National Medical Aid beneficiaries. Consequently, the low-income population group consisted of 159,781 individuals.
Disease prevalence
Disease prevalence was measured based on prescribed medications for each disease, both among prisoners and the general population. The investigated diseases were physical diseases: (1) hyperlipidemia, (2) myocardial infarction, (3) pulmonary tuberculosis, (4) viral hepatitis, (5) diabetes, (6) lumbar sprain, (7) angina pectoris, (8) hypertension, (9) cancer, (10) lumbar disc herniation, (11) cerebral infarction, (12) cerebral hemorrhage, (13) fracture, and (14) pneumonia; and mental diseases: (15) depression, (16) schizophrenia, and (17) insomnia.
There were at least 1 doctor and nurse in each prison of Korea [22]. For the mental diseases that require specialized services not normally offered in prisons, designated psychiatrists visit the prison regularly. When sick, prisoners apply to visit the prison doctor’s office to get medical treatment. If prison doctors determine that they cannot provide adequate treatment, prisoners visit a hospital outside the prison to get proper treatment, accompanied by several prison officers. Both in prison and at outside hospitals, the prison administrative system registers when prisoners are prescribed a medicine, with the name of the diagnosed disease, and documents how many prisoners have taken a prescribed medication. As the information reported on the prison system was only published for 1 day, specifically September 30, 2016, disease prevalence was calculated by dividing the number of prisoners who had taken a prescribed medicine by the total population of prisoners on that date. This included the number of prisoners who were prescribed the corresponding medications previously and had been taking them until that day, as well as those who were newly prescribed the medications on that day.
Likewise, disease prevalence in the general population was also measured based on prescribed medication data from the NHIS. Koreans are covered by health insurance when they receive medical care and buy prescription medications, and data are recorded in the NHIS with a specific diagnosis code. The NHIS uses disease classification codes from the Korean Classification of Diseases, sixth edition (KCD-6). Based on prison data, we defined individuals with specific diseases in the general population as those who bought doctor-prescribed medications with specific KCD codes (Supplementary Material 1). Unlike the prison data, the NHIS data do not provide information on how many individuals in the general population have taken a prescribed medication; instead, it only provides information on how many individuals were newly prescribed medication on a given day. In order to make the data comparable, we used prescription information from 14 days (September 24, 2013 to October 7, 2013) to calculate the prevalence in the general population.
Statistical analysis
Indirect standardization was performed to assess whether the disease prevalence in the prisoners differed from that in the general population when prisoners’ age and sex were taken into account. The observed number of cases among prison population was compared with the expected cases based on age- and sexspecific prevalence of the general population. The results are presented as standardized prevalence ratio (SPRs) with 95% confidence intervals (CIs) [24]. All statistical analyses were performed with Stata/SE version 13.0 (StataCorp, College Station, TX, USA).
Ethics statement
The study was conducted using previously collected de-identified data that are freely available; hence, it was deemed exempt by the Korea University Institutional Review Board (KU-IRB-17-EX-267-A-1).
Table 1 shows the sex- and age-specific distribution of the prison and the general population. As of September 30, 2016, a total population of 57,541 prisoners was incarcerated in 52 prisons in Korea. The vast majority of prisoners (n= 53,767, 93.4%) were males. Most of the prisoners (74.6%) were in the 30-59 years age group, while 1.6% were in the ≥ 70 years age group (Table 1).
The prevalence and age- and sex-adjusted SPRs for each disease are shown in Table 2. Among 57,541 total prisoners, 8,286 (14.40%) had hypertension, 4,868 (8.46%) had diabetes, and 2,764 (4.80%) had hyperlipidemia. The prevalence of mental diseases, including depression (2.11%) and insomnia (1.22%), was generally higher than those of general population.
Not surprisingly, the prevalence of almost all diseases was significantly higher among prisoners than expected based on the age- and sex-specific prevalencein the general population (SPR> 1.00). For example, prisoners had 18.45- 46.73 times higher prevalence for mental diseases, including depression (SPR, 46.73; 95% CI, 44.14 to 49.43), schizophrenia (SPR, 40.91; 95% CI, 37.22 to 44.87), and insomnia (SPR, 18.45; 95% CI, 17.11 to 19.87), than the general population. Higher prevalence for several other diseases were also observed among prisoners than among the general population, including hyperlipidemia (SPR, 20.18; 95% CI, 19.43 to 20.94), pulmonary tuberculosis (SPR, 9.58; 95% CI, 7.91 to 11.50), diabetes (SPR, 6.13; 95% CI, 5.96 to 6.31), and cancer (SPR, 2.36; 95% CI, 2.07 to 2.68). Even when compared to the low-income population, the trend for higher prevalence among prisoners was still present for most diseases, including hyperlipidemia (SPR, 20.18; 95% CI, 19.43 to 20.94), pulmonary tuberculosis (SPR, 6.39; 95% CI, 5.27 to 7.67), and depression (SPR, 34.71; 95% CI, 32.79 to 36.72) (Table 2).
The present study showed that the overall health of prisoners in Korea was poorer than that of the general population. Compared to the general population, prisoners had higher prevalence for 17 diseases, including hyperlipidemia, pulmonary tuberculosis, cancer, and depression; these findings were observed regardless of whether diseases were physical, mental, acute, or chronic. These observations are consistent with previous international studies on the health disparities of prisoners [4,11-16,18,19,25-27].
The consistent results across the diseases are quite understandable considering living conditions in prisons. Prisoners share close living spaces with others, including cells, showers, hygiene facilities, and recreation areas. This may not only cause a great deal of stress to prisoners, but also provide fertile grounds to transmit disease directly. The more overcrowded the prison, the greater those negative effects on prisoners’ health will be [28]. Korea is among the many countries where prison overcrowding is severe. According to Organization for Economic Cooperation and Development (OECD) statistics in 2016, facility capacities in Korea are exceeded by 120%, corresponding to the second-highest rate among OECD countries following Hungary (131%) [29]. This information provides useful context for understanding our findings of disproportionately high prevalence of infectious diseases among prisoners; for example, the prevalence of pulmonary tuberculosis and viral hepatitis was about 9.58 times and 7.27 times higher among prisoners than in the general population, respectively. Likewise, it is plausible that the prevalence of every measured mental disease among prisoners was well over 10 times higher than in the general population.
However, another findings that merits consideration is that the higher prevalence of disease among prisoners may be related to the medical environment of prisons. Although every prison in Korea has 1 or more attending doctors inside the prison, there is a limited number of doctor-hours available per day to fill the demand; it is not easy for prisoners to get timely and appropriate medical care in prison [14]. Prisoners usually have to wait for long times in queue before they can see a doctor, and sometimes their requests for healthcare services are rejected by prison officers if the symptoms do not seem to be severe. Further, when prisoners need to see a hospital doctor outside the prison for getting necessary medical treatment, waiting times may become even longer. This might negatively influence on prisoners’ health by increasing stress, exacerbating the disease onset and ultimately increasing the severity of illness [30,31]. This can be a crucial issue, particularly for prisoners with mental diseases requiring specialized services that cannot be attended to by general practitioner doctors in prison. This should be considered in the context of our findings that the prevalence of both major depression and schizophrenia was more than 40 times higher among prisoners than among the general population.
There might be a possibility that prisoners could have poor health conditions than the general population due to their deprived backgrounds before imprisonment [4-6,32]. For example, according to the 2011–2012 National Inmate Survey by the Bureau of Justice Statistics in the US, among those who reported ever having a chronic condition, more than 70% of both prisoners and jail inmates reported that they had a chronic condition at admission [33]. One study in Korea also found that the lowest-income group showed a significantly higher 3-year cancer mortality rate than the highest-income group [34]. However, our study showed that prisoners still had a higher prevalence of most diseases when we compared disease prevalence with the low-income population. It is necessary to examine the risk factors which influence poorer health status of prisoners even compared with a low-income segment of the general population in future studies.
Limitations and strengths
Several limitations of this study should be noted. First, the age distribution within the ≥ 70 years age group might differ between prisoners and the general populations. Because of the limited data available on prisoners, we could not fully determine the details of the full age range above 70 years old. If the gap of the distribution of ages within the ≥ 70 years age group between 2 populations is large, the expected number of prisoners with diseases in this age group may be biased. Second, we could not exclude the possibility that SPRs might have been overestimated or underestimated due to differences in measurement of diseases prevalence between prisoners and general population. For a given date, the data for the general population only includes those who had been newly prescribed the medication on that particular day. In the prison dataset, however, on a given day, it was not possible to differentiate between those who were newly prescribed a medication from those who were currently taking the medication but were prescribed it previously. To minimize the possibility of SPR overestimation, we calculated the prevalence in the general population from 14 days of data, specifically choosing 7 days before and after the date on which we calculated the prevalence of the prisoners. Furthermore, we used data from the same month and the date(s) in prison and the general population datasets to consider seasonal effects, but the 3-year difference in the timing of data collection is nonetheless a limitation. As a final limitation, there might be overprescription in prison. According to a report on the medical status of detention facilities in Korea, prison doctors responded that more than half of their patients are being over-treated [35]. The difference in prescription between prison and general population could occur differential misclassification of measuring diseases.
Despite these limitations, this study also has strengths. To date, no health information on Korean prisoners has been published using total population data. To our knowledge, this is the first study to describe the health status of prisoners in Korea. Further, we obtained information on the general population from a large, nationally representative dataset to compare disease prevalence with the total population of prisoners. Additionally, because we used administrative record data for both prisoners and the general population, this study is less vulernable to recall bias compared to previous study using survey data. Finally, we additionally compared disease prevalence between prisoners and a low-income segment of the general population to consider prisoners’ background before imprisonment.
Until now, reports on the health of prisoners in Korea have been rare, despite a large and growing prisoner population. The findings of this study highlight that Korean prisoners have a higher prevalence of several physical and mental diseases than not only the general population, but the low-income segment of the population. Future studies need to identify the possible and modifiable factors which influence the health status of prisoners, for interventions to improve health outcomes in prison population.
Supplementary materials are available at https://www.e-epih.org/.
epih-43-e2021033-suppl.docx

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

This study was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A3A2046566).

AUTHOR CONTRIBUTIONS

Conceptualization: SSK, SY. Data curation: SY, JY. Formal analysis: SY, JY, BC. Funding acquisition: SSK. Writing – original draft: SY. Writing – review & editing: SY, SSK, YSJ, JHK, BC, JY.

None.
Table 1.
Age distribution of study population by sex
Age (yr) Total
 Male
 Female
Prison population General population1 Prison population General population1 Prison population General population1
10-19 839 (1.5) 124,284 (13.4) 803 (1.5) 65,314 (14.1) 36 (1.0) 58,970 (12.7)
20-29 8,052 (14.0) 131,922 (14.2) 7,664 (14.3) 68,823 (14.9) 388 (10.3) 63,099 (13.6)
30-39 12,398 (21.5) 155,953 (16.8) 11,673 (21.7) 79,526 (17.2) 725 (19.2) 76,427 (16.5)
40-49 16,072 (27.9) 176,668 (19.1) 15,032 (28.0) 89,769 (19.4) 1,040 (27.6) 86,899 (18.7)
50-59 14,526 (25.2) 159,483 (17.2) 13,478 (25.1) 80,399 (17.4) 1,048 (27.8) 79,084 (17.0)
60-69 4,707 (8.2) 89,336 (9.6) 4,262 (7.9) 43,260 (9.4) 445 (11.8) 46,076 (9.9)
≥70 947 (1.6) 88,600 (9.6) 855 (1.6) 34,561 (7.5) 92 (2.4) 54,039 (11.6)
Total 57,541 (100) 926,246 (100) 53,767 (93.4) 461,652 (49.8) 3,774 (6.6) 464,594 (50.2)

Values are presented as number (%).

1 Korean nationwide random sample cohort.

Table 2.
SPRs of health outcomes between the prison population and the general population in Korea
Diseases Prison population (n=57,541)
 General population (n=926,246)
 Age- and sex- SPR (95% CI) Low-income population1 (n=159,781)
 Age- and sex- SPR (95% CI)
Prevalence, n (%) Prevalence, n (%) Prevalence, n (%)
Physical
  Hyperlipidemia 2,764 (4.80) 2,735 (0.30) 20.18 (19.43, 20.94) 530 (0.33) 20.18 (19.43, 20.94)
Pulmonary tuberculosis 115 (0.20) 175 (0.02) 9.58 (7.91, 11.50) 35 (0.02) 6.39 (5.27, 7.67)
Viral hepatitis 554 (0.96) 795 (0.09) 7.29 (6.70, 7.92) 137 (0.09) 6.60 (6.06, 7.17)
Diabetes 4,868 (8.46) 12,631 (1.36) 6.13 (5.96, 6.31) 2,758 (1.73) 4.96 (4.82, 5.10)
Myocardial infarction 263 (0.46) 731 (0.08) 5.60 (4.94, 6.31) 163 (0.10) 4.78 (4.22, 5.40)
Lumbar sprain 622 (1.08) 1,827 (0.20) 5.41 (4.99, 5.85) 364 (0.23) 5.65 (5.22, 6.12)
Hypertension 8,286 (14.40) 32,650 (3.52) 4.56 (4.47, 4.66) 6,930 (4.34) 4.40 (4.30, 4.49)
Angina pectoris 401 (0.70) 1,672 (0.18) 4.72 (4.27, 5.20) 381 (0.24) 4.01 (3.63, 4.42)
Cancer 238 (0.41) 2,254 (0.24) 2.36 (2.07, 2.68) 421 (0.26) 2.13 (1.86, 2.41)
Lumbar disc herniation 348 (0.60) 2,855 (0.31) 2.26 (2.03, 2.51) 685 (0.43) 1.65 (1.48, 1.83)
Cerebral hemorrhage 34 (0.06) 288 (0.03) 2.00 (1.39, 2.79) 85 (0.05) 0.85 (0.59, 1.19)
Cerebral infarction 139 (0.24) 1,589 (0.17) 1.96 (1.65, 2.31) 373 (0.23) 1.48 (1.24, 1.75)
Fracture 155 (0.27) 1,794 (0.19) 1.94 (1.64, 2.27) 412 (0.26) 1.50 (1.28, 1.76)
Pneumonia 40 (0.07) 740 (0.08) 1.18 (0.84, 1.60) 175 (0.11) 0.91 (0.65, 1.24)
Mental
Depression 1,215 (2.11) 692 (0.07) 46.73 (44.14, 49.43) 144 (0.09) 34.71 (32.79, 36.72)
Schizophrenia 450 (0.78) 158 (0.02) 40.91 (37.22, 44.87) 44 (0.03) 20.45 (18.61, 22.43)
Insomnia 701 (1.22) 960 (0.10) 18.45 (17.11, 19.87) 217 (0.14) 12.09 (11.21, 13.02)

SPR, standardized prevalence ratio; CI, confidence interval.

1 Individuals who belong to the lowest 20% of household income level or who are Medical Aid beneficiaries.

  • 1. World Prison Brief. World prison brief data; 2019 [cited 2020 Mar 31]. Available from: https://www.prisonstudies.org/country/bangladesh#further_info_field_female_prisoners
  • 2. Walmsely R. World prison population list (twelfth edition) [cited 2020 Mar 31]. Available from: https://www.prisonstudies.org/sites/default/files/resources/downloads/wppl_12.pdf
  • 3. Statistics Korea. Average daily number of prisoners in correctional facilities; 2019 [cited 2020 Mar 31]. Available from: http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1739 (Korean)
  • 4. Moeller L, Stöver H, Jürgens R, Gatherer A, Nikogosian H. Health in prisons: a WHO guide to the essentials in prison health; 2007 [cited 2020 Mar 31]. Available from: https://apps.who.int/iris/handle/10665/107829
  • 5. de Viggiani N. Unhealthy prisons: exploring structural determinants of prison health. Sociol Health Illn 2007;29:115-135.ArticlePubMed
  • 6. Wildeman C, Wang EA. Mass incarceration, public health, and widening inequality in the USA. Lancet 2017;389:1464-1474.ArticlePubMed
  • 7. Lines R. The right to health of prisoners in international human rights law. Int J Prison Health 2008;4:3-53.ArticlePubMed
  • 8. Lindquist CH, Lindquist CA. Health behind bars: utilization and evaluation of medical care among jail inmates. J Community Health 1999;24:285-303.PubMed
  • 9. Clemmitt M. Prison health care: are prisons dumping grounds for the mentally ill?; 2007 [cited 2020 Mar 31]. Available from: https://library.cqpress.com/cqresearcher/document.php?id=cqresrre2007010500
  • 10. World Health Organization. Declaration of Alma-Ata: International Conference on Primary Health Care, Alma-Ata, USSR, 6–12 September 1978 [cited 2020 Mar 31]. Available from: https://www.who.int/docs/default-source/documents/almaata-declaration-en.pdf?sfvrsn=7b3c2167_2
  • 11. Kivimets K, Uusküla A, Lazarus JV, Ott K. Hepatitis C seropositivity among newly incarcerated prisoners in Estonia: data analysis of electronic health records from 2014 to 2015. BMC Infect Dis 2018;18:339.ArticlePubMedPMC
  • 12. Ndeffo-Mbah ML, Vigliotti VS, Skrip LA, Dolan K, Galvani AP. Dynamic models of infectious disease transmission in prisons and the general population. Epidemiol Rev 2018;40:40-57.ArticlePubMedPMC
  • 13. Awofeso N. Prisons as social determinants of hepatitis C virus and tuberculosis infections. Public Health Rep 2010;125(Suppl 4):25-33.ArticlePubMedPMC
  • 14. Massoglia M. Incarceration as exposure: the prison, infectious disease, and other stress-related illnesses. J Health Soc Behav 2008;49:56-71.ArticlePubMed
  • 15. Bautista-Arredondo S, González A, Servan-Mori E, Beynon F, Juarez-Figueroa L, Conde-Glez CJ, et al. A cross-sectional study of prisoners in Mexico City comparing prevalence of transmissible infections and chronic diseases with that in the general population. PLoS One 2015;10:e0131718.ArticlePubMedPMC
  • 16. Binswanger IA, Krueger PM, Steiner JF. Prevalence of chronic medical conditions among jail and prison inmates in the USA compared with the general population. J Epidemiol Community Health 2009;63:912-919.ArticlePubMed
  • 17. Fazel S, Danesh J. Serious mental disorder in 23000 prisoners: a systematic review of 62 surveys. Lancet 2002;359:545-550.ArticlePubMed
  • 18. Kawatsu L, Uchimura K, Kobayashi M, Ishikawa N. Overview of the tuberculosis burden in prison institutions in Japan, 2000-2012. Int J Tuberc Lung Dis 2015;19:921-926.ArticlePubMed
  • 19. Reekie JM, Levy MH, Richards AH, Wake CJ, Siddall DA, Beasley HM, et al. Trends in HIV, hepatitis B and hepatitis C prevalence among Australian prisoners - 2004, 2007, 2010. Med J Aust 2014;200:277-280.ArticlePubMed
  • 20. Unver Y, Yuce M, Bayram N, Bilgel N. Prevalence of depression, anxiety, stress, and anger in Turkish prisoners. J Forensic Sci 2013;58:1210-1218.ArticlePubMed
  • 21. Solomon A, Mihretie G, Tesfaw G. The prevalence and correlates of common mental disorders among prisoners in Addis Ababa: an institution based cross-sectional study. BMC Res Notes 2019;12:394.ArticlePubMedPMC
  • 22. Ju YS. Survey on the right to health in detention facilities, 2016 [cited 2020 Mar 31]. Available from: https://kossda.snu.ac.kr/handle/20.500.12236/22770 (Korean)
  • 23. Lee J, Lee JS, Park SH, Shin SA, Kim K. Cohort profile: the National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. Int J Epidemiol 2017;46:e15.ArticlePubMed
  • 24. Waller LA, Gotway CA. Applied spatial statistics for public health data. Hoboken: John Wiley & Sons; 2004. p 11-18.
  • 25. Bader JD, Shugars DA, Bonito AJ. A systematic review of the performance of methods for identifying carious lesions. J Public Health Dent 2002;62:201-213.ArticlePubMed
  • 26. Jack HE, Fricchione G, Chibanda D, Thornicroft G, Machando D, Kidia K. Mental health of incarcerated people: a global call to action. Lancet Psychiatry 2018;5:391-392.ArticlePubMed
  • 27. Vainionpää R, Peltokangas A, Leinonen J, Pesonen P, Laitala ML, Anttonen V. Oral health and oral health-related habits of Finnish prisoners. BDJ Open 2017;3:17006.ArticlePubMedPMC
  • 28. Bick JA. Infection control in jails and prisons. Clin Infect Dis 2007;45:1047-1055.ArticlePubMed
  • 29. Organization for Economic Cooperation and Development (OECD). OECD economic surveys: France 2017 [cited 2020 Mar 31]. Available from: https://www.oecd-ilibrary.org/economics/oecd-economic-surveys-france-2017_eco_surveys-fra-2017-en
  • 30. Reichert A, Jacobs R. The impact of waiting time on patient outcomes: evidence from early intervention in psychosis services in England. Health Econ 2018;27:1772-1787.ArticlePubMedPMC
  • 31. Kreutzberg A. The economics of waiting time in mental health. [dissertation]. York: University of York; 2018.
  • 32. Marmot M. The influence of income on health: views of an epidemiologist. Health Aff (Millwood) 2002;21:31-46.Article
  • 33. Maruschak LM, Berzofsky M, Unangst J. Medical problems of state and federal prisoners and jail inmates, 2011-2012; 2015 [cited 2020 Mar 31]. Available from: https://www.ojp.gov/ncjrs/virtual-library/abstracts/medical-problems-state-and-federal-prisoners-and-jail-inmates-2011
  • 34. Kim CW, Lee SY, Moon OR. Inequalities in cancer incidence and mortality across income groups and policy implications in South Korea. Public Health 2008;122:229-236.ArticlePubMed
  • 35. Kim JB, Kim IH, Lee SH, Woo SK, Ju YS. Survey on medical services for the right to health in detention facilities. Seoul: National Human Rights Commission; 2003. p 60-61. (Korean).

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Burden of diabetes in correctional facilities: A global systematic review and meta-analysis
      Muhammed Shabil, Shilpa Gaidhane, Sorabh Lakhanpal, Sara Irshaidat, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M. Ravi Kumar, Sarvesh Rustagi, Mahalaqua Nazli Khatib, Sunil Kumar Mishra, Sanjit Sah, Hashem Abu Serhan, Ganesh Bushi, Bijaya
      Journal of Clinical & Translational Endocrinology.2025; 39: 100374.     CrossRef
    • Ten-year differences in the prevalence and related factors of depression and suicidal behavior in Korean older adults: A comparison of representative nationwide studies for mental disorders in 2011 and 2021
      Jae Yeong Jeon, Bong-Jin Hahm, Su Jeong Seong, Hwa Yeon Seo, Sung Man Chang, Byung-Soo Kim, Hyonggin An, Hong Jin Jeon, Jin Pyo Hong, Hye Won Suk, Jee Eun Park
      Journal of Affective Disorders.2025; 384: 173.     CrossRef
    • Effects of the COVID-19 pandemic on people experiencing incarceration: a systematic review
      Darius Benedict Williams, Bethany Spinks, Denitza Williams, Ruth Lewis, Francesca Bull, Adrian Edwards
      BMJ Open.2024; 14(4): e076451.     CrossRef
    • Prevalence of latent tuberculosis infection among participants of the national LTBI screening program in South Korea – A problem of low coverage rate with current LTBI strategy
      Hyung Woo Kim, Jinsoo Min, Joon Young Choi, Ah Young Shin, Jun-Pyo Myong, Yunhee Lee, Hyeon Woo Yim, Hyunsuk Jeong, Sanghyuk Bae, Hoyong Choi, Hyekyung In, Ahyoung Park, Miri Jang, Hyeon-Kyoung Koo, Sung-Soon Lee, Jae Seuk Park, Ju Sang Kim
      Frontiers in Public Health.2023;[Epub]     CrossRef

    Related articles
    Health inequalities of 57,541 prisoners in Korea: a comparison with the general population
    Health inequalities of 57,541 prisoners in Korea: a comparison with the general population
    Age (yr) Total
    		 Male
    		 Female
    Prison population General population1 Prison population General population1 Prison population General population1
    10-19 839 (1.5) 124,284 (13.4) 803 (1.5) 65,314 (14.1) 36 (1.0) 58,970 (12.7)
    20-29 8,052 (14.0) 131,922 (14.2) 7,664 (14.3) 68,823 (14.9) 388 (10.3) 63,099 (13.6)
    30-39 12,398 (21.5) 155,953 (16.8) 11,673 (21.7) 79,526 (17.2) 725 (19.2) 76,427 (16.5)
    40-49 16,072 (27.9) 176,668 (19.1) 15,032 (28.0) 89,769 (19.4) 1,040 (27.6) 86,899 (18.7)
    50-59 14,526 (25.2) 159,483 (17.2) 13,478 (25.1) 80,399 (17.4) 1,048 (27.8) 79,084 (17.0)
    60-69 4,707 (8.2) 89,336 (9.6) 4,262 (7.9) 43,260 (9.4) 445 (11.8) 46,076 (9.9)
    ≥70 947 (1.6) 88,600 (9.6) 855 (1.6) 34,561 (7.5) 92 (2.4) 54,039 (11.6)
    Total 57,541 (100) 926,246 (100) 53,767 (93.4) 461,652 (49.8) 3,774 (6.6) 464,594 (50.2)
    Diseases Prison population (n=57,541)
    		 General population (n=926,246)
    		 Age- and sex- SPR (95% CI) Low-income population1 (n=159,781)
    		 Age- and sex- SPR (95% CI)
    Prevalence, n (%) Prevalence, n (%) Prevalence, n (%)
    Physical
      Hyperlipidemia 2,764 (4.80) 2,735 (0.30) 20.18 (19.43, 20.94) 530 (0.33) 20.18 (19.43, 20.94)
    Pulmonary tuberculosis 115 (0.20) 175 (0.02) 9.58 (7.91, 11.50) 35 (0.02) 6.39 (5.27, 7.67)
    Viral hepatitis 554 (0.96) 795 (0.09) 7.29 (6.70, 7.92) 137 (0.09) 6.60 (6.06, 7.17)
    Diabetes 4,868 (8.46) 12,631 (1.36) 6.13 (5.96, 6.31) 2,758 (1.73) 4.96 (4.82, 5.10)
    Myocardial infarction 263 (0.46) 731 (0.08) 5.60 (4.94, 6.31) 163 (0.10) 4.78 (4.22, 5.40)
    Lumbar sprain 622 (1.08) 1,827 (0.20) 5.41 (4.99, 5.85) 364 (0.23) 5.65 (5.22, 6.12)
    Hypertension 8,286 (14.40) 32,650 (3.52) 4.56 (4.47, 4.66) 6,930 (4.34) 4.40 (4.30, 4.49)
    Angina pectoris 401 (0.70) 1,672 (0.18) 4.72 (4.27, 5.20) 381 (0.24) 4.01 (3.63, 4.42)
    Cancer 238 (0.41) 2,254 (0.24) 2.36 (2.07, 2.68) 421 (0.26) 2.13 (1.86, 2.41)
    Lumbar disc herniation 348 (0.60) 2,855 (0.31) 2.26 (2.03, 2.51) 685 (0.43) 1.65 (1.48, 1.83)
    Cerebral hemorrhage 34 (0.06) 288 (0.03) 2.00 (1.39, 2.79) 85 (0.05) 0.85 (0.59, 1.19)
    Cerebral infarction 139 (0.24) 1,589 (0.17) 1.96 (1.65, 2.31) 373 (0.23) 1.48 (1.24, 1.75)
    Fracture 155 (0.27) 1,794 (0.19) 1.94 (1.64, 2.27) 412 (0.26) 1.50 (1.28, 1.76)
    Pneumonia 40 (0.07) 740 (0.08) 1.18 (0.84, 1.60) 175 (0.11) 0.91 (0.65, 1.24)
    Mental
    Depression 1,215 (2.11) 692 (0.07) 46.73 (44.14, 49.43) 144 (0.09) 34.71 (32.79, 36.72)
    Schizophrenia 450 (0.78) 158 (0.02) 40.91 (37.22, 44.87) 44 (0.03) 20.45 (18.61, 22.43)
    Insomnia 701 (1.22) 960 (0.10) 18.45 (17.11, 19.87) 217 (0.14) 12.09 (11.21, 13.02)
    Table 1. Age distribution of study population by sex

    Values are presented as number (%).

    Korean nationwide random sample cohort.

    Table 2. SPRs of health outcomes between the prison population and the general population in Korea

    SPR, standardized prevalence ratio; CI, confidence interval.

    Individuals who belong to the lowest 20% of household income level or who are Medical Aid beneficiaries.

    Table 1.

    Table 2.

    Epidemiol Health : Epidemiology and Health
    © Korean Society of Epidemiology.
    TOP