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1.
Int J Epidemiol ; 53(2)2024 Feb 14.
Article in English | MEDLINE | ID: mdl-38481122

ABSTRACT

BACKGROUND: Women carry a substantial burden of psychiatric, somatic and lifestyle-related morbidity in the prison context. By describing causes of death and estimating the risk and burden of mortality compared with the general population, this study investigates how mortality operates in this highly marginalized and under-researched population. METHODS: In this registry-based study of all women incarcerated in Norwegian prisons from 2000 to 2019 (N = 11 313), we calculated crude mortality rates, years of lost life and, by using mortality in age-matched women from the general population as a reference, age-standardized mortality ratios and years of lost life rates. RESULTS: Over a mean follow-up time of 10.7 years, at a median age of 50 years, 9% of the population had died (n = 1005). Most deaths (80%) were premature deaths from an avoidable cause. Drug-induced causes and deaths from major non-communicable diseases (NCDs) were most frequent (both 32%). Compared with women in the general population, women with a history of incarceration were more likely to die from any cause. Trends in annual age-standardized years of lost life rates suggest that the mortality burden associated with major NCDs has gradually replaced drug-induced causes. CONCLUSIONS: Women with a history of incarceration die at a greater rate than their peers and largely from avoidable causes. The profile of causes contributing to the substantial burden of mortality placed on this population has changed over time and has important implications for future efforts to reduce morbidity and the risk of premature death following release from prison.


Subject(s)
60648 , Noncommunicable Diseases , Humans , Female , Middle Aged , Cause of Death , Cohort Studies , Mortality, Premature , Global Health , Mortality
2.
BMJ Open ; 13(12): e078848, 2023 12 30.
Article in English | MEDLINE | ID: mdl-38159948

ABSTRACT

AIMS: To describe all-cause and cause-specific mortality and to investigate factors associated with mortality among individuals imprisoned for driving under the influence (DUI) of alcohol and psychoactive drugs in the Norwegian prison population. DESIGN: Retrospective cohort study. The Norwegian prison registry was linked to the Norwegian Cause of Death Registry (2000-2016). SETTING: Norway. PARTICIPANTS/CASES: The cohort consisted of 96 856 individuals imprisoned in Norway over a 17-year period obtained from the Norwegian prison registry. PRIMARY AND SECONDARY OUTCOME MEASURES: Adjusted ORs (aOR) with 95% CI were calculated for death due to any, natural and unnatural causes of death. Analyses were stratified according to DUI convictions: no DUI convictions, only DUI convictions (DUI only), DUI and at least one other drug and alcohol conviction (DUI drug), and DUI and at least one conviction other than drug and alcohol conviction (DUI other). RESULTS: In total, 29.3% individuals had one or more imprisonments for DUI. The risk of all-cause mortality was elevated for those convicted for DUI, but only in combination with other types of crimes (DUI drug: aOR=1.5, 95% CI 1.4 to 1.6, DUI other: aOR=1.2, 95% CI 1.1 to 1.4). The risk of death from natural causes was significantly elevated for DUI drug (aOR: 1.8, 95% CI 1.6 to 2.0) and for DUI other (aOR=1.3, 95% CI 1.1 to 1.6). The risk of death from unnatural causes was lower for DUI only (aOR=0.8, 95% CI 0.7 to 0.9) and elevated for DUI drug (aOR=1.5, 95% CI 1.3 to 1.6). CONCLUSIONS: The risk of all-cause mortality was significantly elevated for those convicted of DUI, but only in combination with other types of crimes.


Subject(s)
Automobile Driving , Driving Under the Influence , Humans , Cause of Death , Retrospective Studies , Ethanol
3.
BMC Psychiatry ; 23(1): 390, 2023 06 02.
Article in English | MEDLINE | ID: mdl-37268924

ABSTRACT

PURPOSE: Research suggests that women in prison have more mental health problems than men and are prone to suffer from more severe psychiatric disorders. This study utilizes national registry data to describe demographic and psychiatric gender differences in Norwegian prisons, and to investigate comorbid psychiatric disorders and time trends in psychiatric morbidity among women. METHODS: Longitudinal data from the Norwegian Prison Release Study linked with the Norwegian Patient Registry and data from Statistics Norway provided information on health care utilization, socioeconomic status, and history of psychiatric disorders among all individuals (nwomen = 5,429; nmen = 45,432) who were incarcerated in a Norwegian prison between 2010 and 2019. RESULTS: Women were more likely than men to have a history of any psychiatric disorder (75% vs. 59%). Substance use disorders and dual disorders were highly prevalent in both genders, yet highest among women (56 and 38% respectively, versus 43 and 24% among men). From 2010 to 2019, we found a considerable increase in the 12-month prevalence of most diagnostic categories among women entering prison. CONCLUSION: Psychiatric and dual disorders are highly prevalent in Norwegian prisons, and especially among women. The proportion of women entering prison with a recent history of mental health problems has increased rapidly over the last decade. Women's prison institutions need to adjust health and social services, and awareness about substance use and other psychiatric disorders in order to meet the increasing proportion of women facing these challenges.


Subject(s)
Mental Disorders , Prisoners , Substance-Related Disorders , Humans , Female , Male , Prisons , Prisoners/psychology , Mental Disorders/psychology , Substance-Related Disorders/epidemiology , Substance-Related Disorders/diagnosis , Morbidity , Delivery of Health Care
4.
Int J Offender Ther Comp Criminol ; : 306624X231168596, 2023 Jun 13.
Article in English | MEDLINE | ID: mdl-37312513

ABSTRACT

As the number of incarcerated persons who use drugs increases in many countries, it is important to understand the nature of drug use in prison by exploring how substance use patterns change from before to during incarceration. In this study, we rely on cross-sectional, self-report data from The Norwegian Offender Mental Health and Addiction (NorMA) study to identify the nature of changes in drug use among incarcerated respondents who reported having used either narcotics, non-prescribed medications, or both, during the 6 months before their incarceration (n = 824). Results show that about 60% (n = 490) stop using drugs. Of the remaining 40% (n = 324), about 86% changed their use patterns. Most commonly, incarcerated people stopped using stimulants and started using opioids; switching from cannabis to stimulants was the least common change. Overall, the study illustrates that the prison context leads most individuals to change their use patterns, some in unanticipated ways.

5.
Health Justice ; 11(1): 22, 2023 Apr 14.
Article in English | MEDLINE | ID: mdl-37058181

ABSTRACT

BACKGROUND: Elevated mortality rates are found among people who have experienced incarceration, even long after release from prison. The mechanisms related to this excess mortality are complex products of both individual and situational factors. The aim of this study was to describe all-cause and cause-specific mortality among people with a history of imprisonment, and to examine both individual and situational factors associated with mortality. METHODS: In this prospective cohort study we used baseline survey data from the Norwegian Offender Mental Health and Addiction (NorMA) study (N = 733) linked with data from the Norwegian Cause of Death Registry during eight years of follow-up (2013-2021). RESULTS: At end of follow-up, 56 persons (8%) of the cohort were deceased; 55% (n = 31) due to external causes such as overdoses or suicides, and 29% (n = 16) to internal causes such as cancer or lung disease. Having a score > 24 on the Drug Use Disorders Identification Test (DUDIT), indicating likely drug dependence was highly associated with external causes of death (OR 3.31, 95% CI 1.34-8.16), while having a job before baseline imprisonment had a protective effect on all-cause mortality (OR 0.51, ,95% CI 0.28-0.95). CONCLUSIONS: High DUDIT score at baseline were highly associated with external causes of death, even years after the DUDIT screening was done. Screening incarcerated people using validated clinical tools, such as the DUDIT, together with initiation of appropriate treatment, may contribute to reduced mortality in this marginalized population.

7.
Lancet Public Health ; 7(7): e583-e592, 2022 07.
Article in English | MEDLINE | ID: mdl-35779542

ABSTRACT

BACKGROUND: Incarceration might contribute to increased mortality in an already marginalised population. A better understanding of the prison-related factors that are associated with mortality is important for preventing the negative health consequences of incarceration. We aimed to investigate all-cause and cause-specific mortality following release from high-security and low-security prisons. METHODS: In this retrospective national cohort study, we used data from the Norwegian Prison Release study (nPRIS), which includes complete national register data for 96 859 individuals from the Norwegian Prison Register linked to the Norwegian Cause of Death Register from Jan 1, 2000, to Dec 31, 2016. The study cohort included all people in Norway released from a high-security or low-security prison unit. Cause of death was categorised into internal causes (infectious, cancerous, endocrine, circulatory, respiratory, digestive, nervous system diseases, and mental health disorders) and external causes (accidents, suicides, and homicides) according to the 10th revision of the International Classification of Diseases. We calculated crude mortality rates (CMR) and estimated Cox proportional-hazards models. FINDINGS: There were 151 790 releases in the study period (68·4% from low-security and 31·6% from high-security prisons) from 91 963 individuals. The overall CMR was 854·4 [95% CI 834·7-874·2] per 100 000 person-years (436·2 [422·1-450·3] per 100 000 person-years for internal causes and 358·3 [345·5-371·1] per 100 000 person-years for external causes). The overall post-release mortality rate was higher in those released from high-security prisons (1142·5 [95% CI 1102·6-1182·5] per 100 000 person-years) than in those released from low-security prisons (714·6 [692·6-736·6] per 100 000 person-years). Our results suggest an association between release from high-security prisons and elevated mortality due to both external causes (adjusted hazard ratio [aHR] 1·75 [95% CI 1·60-1·91]) and internal causes (1·45 [1·33-1·59]), compared to release from low-security prisons. INTERPRETATION: Imprisonment and the post-release period can be an important point for public health interventions. Particular attention to health is warranted for individuals incarcerated in and released from high-security prisons. The potential impact of both individual-level characteristics of people incarcerated in high-security facilities, and of the prison environment itself, on mortality outcomes, should be investigated further. FUNDING: The South-Eastern Norway Regional Health Authority and The Norwegian Research Council.


Subject(s)
Prisoners , Suicide , Cohort Studies , Humans , Prisoners/psychology , Prisons , Retrospective Studies
8.
JMIR Res Protoc ; 11(3): e35182, 2022 Mar 23.
Article in English | MEDLINE | ID: mdl-35320114

ABSTRACT

BACKGROUND: A large proportion of the prison population experiences substance use disorders (SUDs), which are associated with poor physical and mental health, social marginalization, and economic disadvantage. Despite the global situation characterized by the incarceration of large numbers of people with SUD and the health problems associated with SUD, people in prison are underrepresented in public health research. OBJECTIVE: The overall objective of the PriSUD (Diagnosing and Treating Substance Use Disorders in Prison)-Nordic project is to develop new knowledge that will contribute to better mental and physical health, improved quality of life, and better life expectancies among people with SUD in prison. METHODS: PriSUD-Nordic is based on a multidisciplinary mixed method approach, including the methodological perspectives of both quantitative and qualitative methods. The qualitative part includes ethnographic fieldwork and semistructured interviews. The quantitative part is a registry-based cohort study including national registry data from Norway, Denmark, and Sweden. The national prison cohorts will comprise approximately 500,000 individuals and include all people imprisoned in Norway, Sweden, and Demark during the period from 2000 to 2019. The project will investigate the prison population during three different time periods: before imprisonment, during imprisonment, and after release. RESULTS: PriSUD-Nordic was funded by The Research Council of Norway in December 2019, and funding started in 2020. Data collection is ongoing and will be completed in the first quarter of 2022. Data will be analyzed in spring 2022 and the results will be disseminated in 2022-2023. The PriSUD-Nordic project has formal ethical approval related to all work packages. CONCLUSIONS: PriSUD-Nordic will be the first research project to investigate the epidemiology and the lived experiences of people with SUD in the Nordic prison population. Successful research in this field will have the potential to identify significant areas of benefit and will have important implications for ongoing policy related to interventions for SUD in the prison population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35182.

9.
Drug Alcohol Depend Rep ; 5: 100127, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36844156

ABSTRACT

Background: Re-imprisonments are common among people in prison who use drugs. This study aims to describe sociodemographic factors, mental health and level of pre-prison substance use in a cohort of people in prison, and to investigate re-imprisonment during follow-up according to their level of pre-prison drug use. Methods: This was a prospective study using baseline data from the Norwegian Offender Mental Health and Addiction (NorMA) cohort (n = 733) recruited in 2013-2014 linked to data from the Norwegian Prison Registry and the Norwegian Cause of Death Registry. Self-reported drug use before imprisonment was measured at baseline using the Drug Use Disorder Identification Test (DUDIT). The outcome of interest was re-imprisonment examined using Cox regression. We excluded 32 persons because they were not released before the study ended. The study sample included 701 persons, with a total time-at-risk of 2479 person-years. Results: Almost half of the study sample reported high-risk drug use before imprisonment (DUDIT score >24). During the study period, 43% (n = 267) were re-imprisoned. People with high-risk use had a hazard ratio (HR) of 4.20 (95% CI: 2.95-5.97) of re-imprisonment compared with people with low-risk use (DUDIT score <6). Older age and more education than primary school were associated with a reduced risk of re-imprisonment. Conclusion: Compared with low-risk use, high-risk drug use is highly prevalent among people in prison and is associated with higher rates of re-imprisonment. This highlights the need for screening and treatment of drug use disorders among people in prisons.

10.
Eur J Epidemiol ; 36(10): 1075-1083, 2021 Oct.
Article in English | MEDLINE | ID: mdl-34427828

ABSTRACT

BACKGROUND: People in prison have an extremely high risk of suicide. The aim of this paper is to describe all suicides in the Norwegian prison population from 2000 to 2016, during and following imprisonment; to investigate the timing of suicides; and to investigate the associations between risk of suicide and types of crime. METHODS: We used data from the Norwegian Prison Release study (nPRIS) including complete national register data from the Norwegian Prison Register and the Norwegian Cause of Death Register in the period 1.1.2000 to 31.12.2016, consisting of 96,856 individuals. All suicides were classified according to ICD-10 codes X60-X84. We calculated crude mortality rates (CMRs) per 100,000 person-years and used a Cox Proportional-Hazards regression model to investigate factors associated with suicide during imprisonment and after release reported as hazard ratios (HRs). RESULTS: Suicide accounted for about 10% of all deaths in the Norwegian prison population and was the leading cause of death in prison (53% of in deaths in prison). The CMR per 100,000 person years for in-prison suicides was 133.8 (CI 100.5-167.1) and was ten times higher (CMR = 1535.0, CI 397.9-2672.2) on day one of incarceration. Suicides after release (overall CMR = 82.8, CI 100.5-167.1) also peaked on day one after release (CMR = 665.7, CI 0-1419.1). Suicide in prison was strongly associated with convictions of homicide (HR 18.2, CI 6.5-50.8) and high-security prison level (HR 15.4, CI 3.6-65.0). Suicide after release was associated with convictions of homicide (HR 3.1, CI 1.7-5.5). CONCLUSION: There is a high risk of suicide during the immediate first period of incarceration and after release. Convictions for severe violent crime, especially homicide, are associated with increased suicide risk, both in prison and after release.


Subject(s)
Homicide/statistics & numerical data , Mental Disorders/epidemiology , Mental Health/statistics & numerical data , Prisoners/psychology , Prisons , Substance-Related Disorders/epidemiology , Suicide/statistics & numerical data , Adult , Aged , Criminal Law , Female , Humans , Male , Middle Aged , Mortality , Norway/epidemiology , Prisoners/statistics & numerical data , Sex Factors , Sex Offenses/statistics & numerical data
11.
Health Justice ; 8(1): 10, 2020 May 12.
Article in English | MEDLINE | ID: mdl-32399643

ABSTRACT

BACKGROUND: Remarkably little is known about drug use during imprisonment, including whether it represents a continuation of pre-incarceration drug use, or whether prison is also a setting for drug use initiation. This paper aims to describe drug use among people in prison in Norway and investigate risk factors associated with in-prison drug use. METHODS: We used data from the Norwegian Offender Mental Health and Addiction (NorMA) Study, a cross-sectional survey of 1499 individuals in Norwegian prisons. Respondents reported on drug use (narcotics and non-prescribed medications) both before and during imprisonment. We used multivariate logistic regression to investigate the associations between drug use in prison and demographics, previous drug use, mental health, and criminal activity. RESULTS: Sixty-five percent of respondents reported lifetime drug use, and about 50% reported daily use of drugs during the 6 months before incarceration. Thirty-five percent reported ever using drugs in prison, but initiation of drug used during incarceration was uncommon. In a multivariate model, factors independently associated with drug use in prison included lifetime number of drugs used (adjusted odds ratio [aOR] = 1.17; 95% confidence interval [CI] 1.12-1.23; p <  0.001), daily drug use in the 6 months before imprisonment (aOR = 7.12; 95%CI 3.99-12.70; p <  0.001), and being intoxicated while committing the crime related to current imprisonment (aOR = 2.13; 95%CI 1.13-4.03; p = 0.020). CONCLUSIONS: In-prison drug use is independently associated with high-risk drug use before imprisonment. To reduce drug use in prison, correctional services must systematically screen for pre-prison drug use and offer effective drug treatment for those in need.

13.
Am J Drug Alcohol Abuse ; 46(1): 13-21, 2020.
Article in English | MEDLINE | ID: mdl-31603346

ABSTRACT

Background: Selecting which variables to include in multiple regression models is a pervasive problem in medical research.Objectives: Based on questionnaire data (n = 18538, 69.9% men) from the Norwegian Opioid Maintenance Treatment Program, this study aims to compare the performance of different variable selection methods and the potential clinical consequences of choice of method. The effect of missing data is also explored.Methods: The dependent variable was engagement in criminal behavior while in treatment. Twenty-nine potential covariates on demographics, psychosocial factors and drug use were tested for inclusion in a multiple logistic regression model. Both complete case and multiply imputed data were considered. We compared the results from variable selection methods ranging from expert-based and purposeful variable selection, through stepwise methods, to more recently developed penalized regression using the Least Absolute Shrinkage and Selection Operator (LASSO).Results: The various variable selection methods resulted in regression models including from 9 to 22 covariates. The stepwise selection procedures generated the models with the most covariates included. The choice of variable selection method directly affected the estimated regression coefficients, both in effect size and statistical significance. For several variables the expert-based approach disagreed with all data-driven methods.Conclusions: The choice of variable selection method may strongly affect the resulting regression model, along with accompanying effect sizes and confidence intervals. This may affect clinical conclusions. The process should consequently be given sufficient consideration in model building. We recommend combining expert knowledge with a data-driven variable selection method to explore the models' robustness.


Subject(s)
Biomedical Research/methods , Models, Statistical , Opiate Substitution Treatment/statistics & numerical data , Data Interpretation, Statistical , Humans , Multivariate Analysis , Norway
14.
BMC Health Serv Res ; 19(1): 553, 2019 Aug 07.
Article in English | MEDLINE | ID: mdl-31391048

ABSTRACT

BACKGROUND: As the effect of opioid maintenance treatment (OMT) on overdose mortality varies both between and within countries, treatment programs need to be evaluated in different treatment settings and over time within settings. We evaluated variations in mortality in a national programme: from the initial rollout as restrictive and low-capacity to its gradual change into more liberal and higher-volume. METHODS: A 12-year prospective longitudinal cohort study including all persons (n = 6871) applying for and entering OMT in Norway (1997-2009). We followed all patients until 2009 or until death. We used crude mortality rates (CMR) to calculate overdose and all-cause mortality among patients in OMT before, during and after treatment, during a 12-year time-period. We also calculated variations in overdose and all-cause mortality over the course of treatment and after treatment termination. We fitted proportional hazards models with covariates to the data. RESULTS: OMT significantly reduces risk of mortality compared to being outside of treatment. The reduction in overdose death was most substantial during the initial phase of the Norwegian OMT-programme, still; we consistently find that overdose deaths were more than halved in all calendar-periods throughout observation. We did not find an elevated risk of overdose death in the first weeks of treatment, nor in the first weeks after treatment cessation. CONCLUSION: In Norway, OMT reduces overall mortality. Reduction in mortality is likely dependent of both treatment delivery and characteristics of the at-risk population.


Subject(s)
Analgesics, Opioid , Drug Overdose/mortality , Opioid-Related Disorders/mortality , Adult , Analgesics, Opioid/therapeutic use , Female , Humans , Longitudinal Studies , Male , Norway/epidemiology , Program Evaluation , Prospective Studies
15.
SAGE Open Med ; 7: 2050312118822912, 2019.
Article in English | MEDLINE | ID: mdl-30671242

ABSTRACT

OBJECTIVES: Missing data is a recurrent issue in many fields of medical research, particularly in questionnaires. The aim of this article is to describe and compare six conceptually different multiple imputation methods, alongside the commonly used complete case analysis, and to explore whether the choice of methodology for handling missing data might impact clinical conclusions drawn from a regression model when data are categorical. METHODS: In addition to the commonly used complete case analysis, we tested the following six imputation methods: multiple imputation using expectation-maximization with bootstrapping, multiple imputation using multiple correspondence analysis, multiple imputation using latent class analysis, multiple hot deck imputation and multivariate imputation by chained equations with two different model specifications: logistic regression and random forests. The methods are tested on real data from a questionnaire-based study in the Norwegian opioid maintenance treatment programme. RESULTS: All methods performed relatively well when the sample size was large (n = 1000). For a smaller sample size (n = 200), the regression estimates depend heavily on the level of missing. When the amount of missing was ⩾20%, in particular, complete case analysis, hot deck and random forests had biased estimates with too low coverage. Multiple imputation using multiple correspondence analysis had the best performance all over. CONCLUSION: The choice of missing handling methodology has a significant impact on the clinical interpretation of the accompanying statistical analyses. With missing data, the choice of whether to impute or not, and choice of imputation method, can influence clinical conclusion drawn from a regression model and should therefore be given sufficient consideration.

16.
J Subst Abuse Treat ; 77: 52-56, 2017 06.
Article in English | MEDLINE | ID: mdl-28476272

ABSTRACT

INTRODUCTION: This study examines factors associated with criminal engagement among patients in opioid maintenance treatment (OMT). METHODS: Questionnaire data recorded annually among 5654 patients in the Norwegian OMT programme between 2005 and 2010 from seven regional treatment centres were available for analyses. Each patient answered approximately 4 times (mean: 4.11, SD: 1.46) generating a total of 18,538 questionnaires. The outcome variable of the study, engagement in criminal activity, was defined as whether a patient had been arrested, put in custody, been charged and/or convicted of a crime within the last 12months prior to the completion of the questionnaire. Three types of covariates were included: demographical, psychosocial and drug use-related. Missing data were imputed using Multivariate Imputation by Chained Equations and regression parameters were estimated by Generalized Estimation Equations to account for correlated measurements. RESULTS: Having a full-time job (aOR: 0.47, CI: 0.34-0.64) or being a student/having a part-time job (aOR: 0.72, CI: 0.59-0.88) was negatively associated with ongoing criminal involvement, as did having a stable living situation (aOR: 0.70, CI: 0.57-0.87). On the other hand, being male (aOR: 1.83, CI: 1.59-2.10), younger (aOR: 0.96, CI: 0.95-0.97) and using illicit drugs regularly (aOR: 3.00, CI: 2.56-3.52) was positively associated with ongoing criminal activity while in OMT. CONCLUSIONS: Stable accommodation and participation in meaningful daily activity was found to be protective in terms of ongoing criminal engagement. Focus on these modifiable, psychosocial factors should therefore be an important and integral aspect of opioid maintenance treatment.


Subject(s)
Crime/statistics & numerical data , Opiate Substitution Treatment/methods , Opioid-Related Disorders/rehabilitation , Substance-Related Disorders/epidemiology , Adult , Age Factors , Female , Follow-Up Studies , Humans , Male , Middle Aged , Norway , Risk Factors , Sex Factors , Surveys and Questionnaires
17.
Addiction ; 112(8): 1432-1439, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28319291

ABSTRACT

BACKGROUND AND AIMS: The time post-release from prison involves elevated mortality, especially overdose deaths. Variations in overdose mortality both by time since release from prison and time of release has not been investigated sufficiently. Our aims were to estimate and compare overdose death rates at time intervals after prison release and to estimate the effect on overdose death rates over calendar time. DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS: This 15-year cohort study includes all individuals (n = 91 090) released from prison (1 January 2000 to 31 December 2014) obtained from the Norwegian prison registry, linked to the Norwegian Cause of Death Registry (2000-14). All-cause and cause-specific mortality were examined during different time-periods following release: first week, second week, 3-4 weeks and 2-6 months, and by three different time intervals of release. We calculated crude mortality rates (CMRs) per 1000 person-years and estimated incidence rate ratios (IRR) by Poisson regression analysis adjusting for time intervals after prison release, release periods and time spent in prison. FINDINGS: Overdose deaths accounted for 85% (n = 123) of all deaths during the first week following release (n = 145), with a peak during the 2 days immediately following release. Compared with week 1, the risk of overdose death was more than halved during week 2 [IRR = 0.43; 95% confidence interval (CI) = 0.31-0.59] and reduced to one-fifth in weeks 3-4 (IRR = 0.22; 95% CI = 0.16-0.31). The risk of overdose mortality during the first 6 months post-release was almost twofold higher in 2000-04 compared with 2005-09 (IRR = 0.53; 95% CI = 0.43-0.65) and 2010-14 (IRR = 0.47; 95% CI = 0.37-0.59). The risk of overdose death was highest for those incarcerated for 3-12 months compared with those who were incarcerated for shorter or longer periods, and recidivism was associated with risk of overdose death. CONCLUSIONS: There is an elevated risk of death from drug overdose among individuals released from Norwegian prisons, peaking in the first week. The risk has reduced since 2000-04, but is greatest for those serving 3-12 months compared with shorter or longer periods.


Subject(s)
Drug Overdose/epidemiology , Prisoners/statistics & numerical data , Adult , Cohort Studies , Female , Humans , Male , Norway/epidemiology , Prospective Studies , Registries/statistics & numerical data , Risk Factors , Time Factors
18.
Subst Abuse ; 9(Suppl 2): 59-66, 2015.
Article in English | MEDLINE | ID: mdl-26648732

ABSTRACT

The Norwegian prison inmates are burdened by problems before they enter prison. Few studies have managed to assess this burden and relate it to what occurs for the inmates once they leave the prison. The Norwegian Offender Mental Health and Addiction (NorMA) study is a large-scale longitudinal cohort study that combines national survey and registry data in order to understand mental health, substance use, and criminal activity before, during, and after custody among prisoners in Norway. The main goal of the study is to describe the criminal and health-related trajectories based on both survey and registry linkage information. Data were collected from 1,499 inmates in Norwegian prison facilities during 2013-2014. Of these, 741 inmates provided a valid personal identification number and constitute a cohort that will be examined retrospectively and prospectively, along with data from nationwide Norwegian registries. This study describes the design, procedures, and implementation of the ongoing NorMA study and provides an outline of the initial data.

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