Skip to main content
Erschienen in: Social Psychiatry and Psychiatric Epidemiology 3/2023

Open Access 03.12.2022 | Review

Sex differences in suicide, suicidal ideation, and self-harm after release from incarceration: a systematic review and meta-analysis

verfasst von: Emilia Janca, Claire Keen, Melissa Willoughby, Rohan Borschmann, Georgina Sutherland, Sohee Kwon, Stuart A. Kinner

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 3/2023

Abstract

Purpose

People released from incarceration are at increased risk of suicide compared to the general population. We aimed to synthesise evidence on the incidence of and sex differences in suicide, suicidal ideation, and self-harm after release from incarceration.

Methods

We searched MEDLINE, EMBASE, PsycINFO, Web of Science and PubMed between 1 January 1970 and 14 October 2021 for suicide, suicidal ideation, and self-harm after release from incarceration (PROSPERO registration: CRD42020208885). We calculated pooled crude mortality rates (CMRs) and standardised mortality ratios (SMRs) for suicide, overall and by sex, using random-effects models. We calculated a pooled incidence rate ratio (IRR) comparing rates of suicide by sex.

Results

Twenty-nine studies were included. The pooled suicide CMR per 100,000 person years was 114.5 (95%CI 97.0, 132.0, I2 = 99.2%) for non-sex stratified samples, 139.5 (95% CI 91.3, 187.8, I2 = 88.6%) for women, and 121.8 (95% CI 82.4, 161.2, I2 = 99.1%) for men. The suicide SMR was 7.4 (95% CI 5.4, 9.4, I2 = 98.3%) for non-sex stratified samples, 14.9 for women (95% CI 6.7, 23.1, I2 = 88.3%), and 4.6 for men (95% CI 1.3, 7.8, I2 = 98.8%). The pooled suicide IRR comparing women to men was 1.1 (95% CI 0.9, 1.4, I2 = 82.2%). No studies reporting self-harm or suicidal ideation after incarceration reported sex differences.

Conclusion

People released from incarceration are greater than seven times more likely to die by suicide than the general population. The rate of suicide is higher after release than during incarceration, with the elevation in suicide risk (compared with the general population) three times higher for women than for men. Greater effort to prevent suicide after incarceration, particularly among women, is urgently needed.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s00127-022-02390-z.

Introduction

People in custody experience elevated rates of suicide, suicidal ideation, and self-harm compared to the general population [13]. Although suicide is more common among men than women in the general population, self-harm and suicidal ideation are more common among women [4, 5]. Research on suicide, suicidal ideation, and self-harm among people involved in the criminal justice system typically focuses on time during incarceration [1]. There is some evidence that rates of suicide [6], self-harm [7], and suicidal ideation [8] during incarceration are similar between sexes, in contrast with general population trends [4, 9].
People with a history of incarceration often experience major social challenges upon return to the community, including homelessness [10], substance use [11], and unemployment [12]. People with a history of incarceration also experience elevated rates of poor health and preventable death compared to the general population [13], including by suicide [14]. Women with a history of incarceration experience poorer health and social circumstances than both their male counterparts and women in the general population [1517]. Exposure to trauma and abuse, and the consequences of poor mental health, substance use and homelessness, are all common among justice-involved women [1820], and contribute to their markedly poor health profiles after release from incarceration.
A previous systematic review conducted in 2012 [21] that examined all-cause and external-cause deaths among people released from incarceration reported crude mortality rates (CMRs) for suicide ranging from 41 to 204 deaths per 100,000 person years among people released from incarceration [21]. This is substantially higher than the rate of 11 per 100,000 person years reported in the global general population [4]. However, this review did not calculate a pooled CMR or standardised mortality ratios (SMRs) for suicide. A meta-analysis conducted in 2013 and including five studies found that people released from incarceration were roughly seven times more likely to die by suicide than the general population (pooled risk ratio = 6.8, 95% CI 6.1, 7.5) [22]. Neither review examined differences in suicide between women and men after release from incarceration. To date, no reviews have looked at self-harm and/or suicidal ideation in women or men after release from incarceration.
As the number of people who experience incarceration continues to increase globally [23], robust and reliable estimates of suicide, self-harm, and suicidal ideation in people released from incarceration are needed to support and inform effective prevention strategies. Given the disproportionate growth in the number of women incarcerated globally [24], and their unique health and social needs [25], developing evidence-based and targeted interventions to reduce suicide, self-harm, and suicidal ideation among people released from incarceration requires an understanding of differences between women and men in this population. As such, we aimed to (1) calculate the incidence and risk relative to the general population of suicide, self-harm, and suicidal ideation among people released from incarceration, overall and stratified by sex; and (2) examine the association between sex and suicide, self-harm, and suicidal ideation.

Methods

Search strategy and selection criteria

Our review is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines (Table S1) [26, 27]. The review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO; CRD42020208885), and was updated on 14 December 2021.
We searched five key health and social science databases (MEDLINE, EMBASE, PsycINFO, Web of Science, and PubMed) using search terms relating to incarceration and release, suicide, self-harm, and suicidal ideation for literature published from 1 January 1970 to 8 September 2020. The search strategy (Table S2) was developed in consultation with a trained research librarian. Reference lists of included studies were checked to identify any additional relevant studies not captured by the search. As done previously [28], and as described in PRISMA guidelines [26], we updated our search by receiving email alerts from the Web of Science Core Collection for records published between 9 September 2020 and 14 October 2021.
Studies were eligible for inclusion if they were published in peer-reviewed journals, reported on suicide, self-harm, and/or suicidal ideation occurring in the community following release from incarceration (including youth justice detention, prison, and jail), and reported at least one measure of interest or sufficient data for calculation (CMR, SMR, and/or an association between sex and any outcome). We contacted authors if the total number of participants (overall and/or sex-stratified) could not be determined from the study. Studies that reported CMRs and SMRs overall and/or stratified by sex were eligible for inclusion. The definitions of suicide, self-harm, and suicidal ideation used in this review are presented in Table S3.
Studies published in languages other than English were excluded. We included studies from all geographic locations. Previous literature reviews were excluded; however, the reference lists of these reviews were checked for additional relevant studies. Consistent with previous literature [21], studies reporting on selected samples (e.g., people who use drugs) were excluded.
After the removal of duplicates, titles and abstracts of potentially eligible studies were screened by EJ with MW also screening a random 10% sample. There was moderate inter-rater agreement between the two reviewers (kappa value 0.79) [29]. Any uncertainty related to study inclusion was resolved through discussion between the authors. Full-text articles were independently screened once by EJ and then again by MW, CK, or SoK. Any conflicts were resolved through discussion. We included studies that used the same study data where articles reported different findings of interest. In the case that multiple studies reported the same findings, both studies were included in the review, but only the study with the longest follow-up period was included in meta-analysis.

Data analysis

Data were independently extracted by EJ (a summary of the information extracted is provided in Table S4). If not directly reported, we calculated CMRs and SMRs (and 95% CI) for suicide in a manner consistent with previous research [21]. Using standard formulae [30], for each study that reported a CMR for both women and men, we calculated incidence rate ratios (IRRs, and 95% CI) for suicide using men as the reference group.
Study quality was assessed using the Methodological Standard for Epidemiological Research (MASTER) scale [31]. The MASTER scale ranks studies based on the number of safeguards against bias present in the study, with a higher number of safeguards indicating a lower probability of bias (score range 0, 40) [31]. Risk of bias of each study was assessed by EJ and any uncertainty was resolved through discussion and consensus with CK (scores for each study are presented in Table 1).
Table 1
Characteristics of included studies
First author, year
City/state, country
Study type
Years of observation
Median follow up (years)
Outcome
Sex
Detention type
Age at baseline (years)
Participants n (%)
Reference population for SMR
QAS
All
Men
Women
Barnert, 2019 [66]
US (national)
R
1994–2008
NR
Suicidal ideation
Women & men
Youth detention
Range: 7–24
1727
1344 (77.8)
383 (22.2)
NA
18
Binswanger, 2007 [51]
Washington, US
R
1999–2003
NR
Suicide
Women & men
Prison
Mean: 33.4 ± 9.8 (Range: 18–84)
30,237
26,270 (87.0)
3697 (13.0)
Washington State residents of the same age, sex, and race
24
Binswanger, 2013 [52]
Washington, US
R
1999–2009
NR
Suicide
Women & men
Prison
Range: 18–84
76,208
63,979 (84.0)
12,229 (16.0)
Washington State residents of the same age, sex, and race
25
Bird, 2003 [39]a
Scotland
R
1996–1999
NR
Suicide
Men only
Prison
Range: 15–35
19,486
19,486 (100)
NA
15–35-year-old men in Scotland
22
Borschmann, 2017a [64]
Queensland, Australia
P
2007–2013
2.6
Self-harm
Women & men
Prison
Range: 18–40 + 
1307
1030 (78.8)
277 (21.2)
NA
28
Borschmann, 2017b [65]
Queensland, Australia
P
2007–2014
3.9
Self-harm
Women & men
Prison
Range: 18–40 + 
1309
976 (74.6)
260 (19.9)
NA
28
Brinkley-Rubinstein, 2019 [7]
North Carolina, US
R
2000–2015
NR
Suicide
Women & men
Prison
Median: 32 (IQR: 26–42)
229,274
197,656 (86.2)
31,618 (13.8)
NA
24
Bukten, 2017 [41]b
Norway (national)
P
2000–2014
NR
Suicide
Women & men
Prison
NR
92,663
(Range: 90.0–92.0)
(Range: 8.0–10.0)
NA
23
Bukten, 2021 [61]
Norway (national)
R
2000–2016
NR
Suicide
Women & men
Prison
Median: 31 (IQR: 23–41)
96,735c
86,761 (89.7)
9957 (10.3)
NA
26
Chang, 2015 [50]
Sweden (national)
R
2000–2009
5.1
Suicide
Women & men
Prison
NR
47,326
43,840 (92.6)
3486 (8.0)
NA
28
Coffey, 2003 [53]
Victoria, Australia
R
1988–1999
3.3 (men) 1.4 (women)
Suicide
Women & men
Youth detention
NR
2849
2621 (92.0)
228 (8.0)
Calendar year, sex, age stratified Victoria residents
22
Coffey, 2004 [54]
Victoria, Australia
R
1988–2003
6.3 (men) 4.6 (women)
Suicide
Women & men
Youth detention
NR
2849
2625 (92.0)
228 (8.0)
NA
23
Dirkzwager, 2012 [55]
Netherlands
R
1977–2003
NR
Suicide
Women & men
Prison
Range: 12–40 + 
597
578 (96.8)
19 (3.2)
Age and gender adjusted 1977 Dutch population
22
Farrell, 2008 [62]
England and Wales (national)
R
1998–2003
NR
Suicide
Women & men
Prison
15 + 
48,771
36,513 (74.9)
12,258 (25.1)
NA
19
Graham, 2003 [56]
Victoria, Australia
R
1990–2000
NR
Suicide
Women & men
Prison
NR
25,469
22,978 (90.2)
2490 (9.8)
Age, sex stratified Victorian residents
18
Haglund, 2014 [49]
Sweden (national)
P
2005–2009
1.2
Suicide
Women & men
Prison
Mean: 37.8 (SD: 12.1, range: 18–84)
38,995
36,146 (92.7)
2849 (7.3)
Gender and age matched Swedish people from general population (without incarceration history)
26
Harding-Pink, 1990 [63]a
Geneva, Switzerland
R
1982–1986
NR
Suicide
Women & men
Prison
NR
NR
NR
NR
NA
16
Jones, 2017 [58]
North Carolina, US
R
2008–2012
NR
Suicide
Women & men
Prison
Range: 20–60 + 
41,495
37,053 (89.3)
4442 (10.7)
NA
19
Kariminia, 2007a, b [14, 42]
New South Wales, Australia
R
1988–2003
7.7
Suicide
Women & men
Prison
NR
85,203
76,383 (89.6)
8820 (10.4)
Age, sex stratified New South Wales population
22
Kouyoumdjian, 2016 [43]
Ontario, Canada
R
2000–2012
NR
Suicide
Women & men
Prison
NR
48,166
43,419 (90.1)
4747 (9.9)
General Canadian population
24
Lim, 2012 [44]
New York City, US
R
2001–2005
NR
Suicide
Women & men
Jail
Range: 16–89
155,272
137,161 (88.3)
18,111 (12.7)
Age matched New York City residents
21
Pratt, 2006 [48]
England and Wales
R
2000–2002
NR
Suicide
NR
Prison
Range: 18–50 + 
244,988
NR
NR
Age, sex stratified “general populations”
21
Rosen, 2008 [59]
North Carolina, US
R
1980–2005
10.3
Suicide
Men only
Prison
Median: 32 (IQR:25–40, range: 20–69)
168,001
168,001 (100.0)
NA
Mid-years from 2008 to 2012 North Carolina population in residents matched on County, sex, race, and age
22
Rosen, 2020 [60]
North Carolina, US
R
2008–2016
NR
Suicide
Women & men
Prison
Range: 18–88
111,479
96,367 (86.4)
15,112 (13.6)
NA
20
Sailas, 2006 [57]
Finland (national)
R
1984–2002
11.7
Suicide
Women & men
Youth detention
Range: 15–21
3832
3743 (97.7)
89 (2.3)
NA
20
Spittal, 2014 [47]
Queensland, Australia
R
1994–2007
7.5
Suicide
Women & men
Prison
Range: 17–40 + 
41,970
36,994 (88.1)
4976 (12.9)
Age and sex matched general population
22
Stewart, 2004 [45]
Western Australia, Australia
R
1994–1999
3.4
Suicide
Women & men
Prison
Mean: 31, median: 29, mode: 21 (range: 16–82)
9381
8199 (87.4)
1182 (13.6)
Age, sex, race matched Western Australian population
25
van Dooren, 2013 [46]
Queensland, Australia
R
1994–2007
NR
Suicide
Women & men
Prison
NR
42,015
37,039 (88.2)
4976 (11.8)
Age and sex matched Queensland general population
22
NA not applicable, NR not reported, P prospective, R retrospective, US United States, QAS Quality Assessment Score
aIncluded in the review but excluded from primary meta-analyses because there was either less than 6 months follow up time and/or fewer than 20 suicides
bIncluded in the review but excluded from primary meta-analyses because another study from the same cohort reported findings with a longer follow-up time (i.e., Bukten 2021)
cRefers to gender, and not sex. Gender was unknown for 17 participants
We calculated pooled estimates of CMRs and SMRs for death by suicide, overall and stratified by sex. Using the IRRs for suicide, with men as the reference group, we calculated a pooled estimate of the IRR for suicide according to sex. Estimates were pooled using the DerSimonian Laird method [32]. A random-effects method was used because we did not expect the assumptions of a fixed-effects model to be met (i.e., the assumption of a common effect size) [33]. Heterogeneity between studies was assessed using the I2 statistic [34].
We extracted data from studies reporting other measures of association (e.g., odds ratios or hazard ratios) between sex and suicide. Due to the small number of studies reporting other measures of association between sex and suicide, and the diversity of measures reported, it was not possible to pool other measures of associations between sex and suicide.
Given the limited number of studies, it was not possible to calculate pooled estimates for self-harm or suicidal ideation (overall or sex-stratified). The results for these outcomes are narratively described [35].
To examine the effect of study quality on the outcomes, we conducted a sensitivity analysis in which we restricted the analysis to studies scoring above the median on the MASTER scale. Due to the small number of studies that reported SMRs, we were only able to conduct this sensitivity analysis on the CMR and SMR meta-analyses that did not stratify by sex.
Where data were available, we conducted univariable meta-regression to identify factors which influenced the heterogeneity of effect measures. We did this using restricted maximum likelihood (REML) estimation with the Knapp–Hartung modification [36]. Values less than zero were rounded to zero. Consistent with previous research [37], the following factors were considered: type of incarceration facility (i.e., prison, jail, or youth detention), prospective/retrospective design, length of follow-up, geographic location of the study, single-sex samples, and whether subsequent periods of incarceration during follow-up were removed from analysis (i.e., interval censoring).
All analyses were conducted using Stata/BE Release 17 [38].

Deviations from protocol

Consistent with previous reviews [21, 37], we modified our eligibility criteria by excluding studies from the primary analysis that had fewer than 20 total deaths from suicide or less than 6 months of follow-up. To test the effect of excluding these studies, we conducted a sensitivity analysis that included studies that did not meet these criteria but were otherwise eligible to be included in the review. As the studies that did not meet these criteria only reported non-sex stratified CMRs, we were only able to conduct this sensitivity analysis for the CMR not stratified by sex.

Role of the funding source

There was no funding source for this study.

Results

Our search retrieved 3284 records, 1711 of which remained after duplicates were removed (Figure S1). During title and abstract screening, 1556 records were excluded, leaving 155 full texts to be assessed. Of these, 27 met the eligibility criteria, along with an additional two records identified through citation searching. A total of 29 records were assessed for quality and included in this review.
The characteristics of included studies and characteristics of included participants are outlined in Table 1. The number of suicide deaths, person-years, CMRs, and SMRs for each study are presented in Table 2. Of the 29 included studies, there were 26 studies on suicide from 22 cohorts [14, 3963], two studies on self-harm from one cohort [64, 65], and one study on suicidal ideation [66]. Data from 23 studies were included in meta-analyses for suicide. Two studies were only included in sensitivity analyses for suicide because they reported less than six months follow up time and/or fewer than 20 suicides. One study was not included in meta-analyses for suicide because it reported on a cohort for which longer follow-up time was available in another included study.
Table 2
Number of suicide deaths, time at risk following release (person-years), CMRs and SMRs for suicide deaths after release from prison, overall and stratified by sex
First author, year
N of suicide deaths
Person-years
Suicide death CMR (95% CI) per 100,000 person years
Suicide death SMR (95% CI)
Total
Women
Men
Total
Women
Men
Total
Women
Men
Total
Women
Men
Binswanger, 2007 [51]
40
NR
NR
57,049
NR
NR
18.0 (9.0–33.0)
NR
NR
3.4 (2.5–4.7)
NR
NR
Binswanger, 2013 [52]
212
21
191
334,238
NR
NR
63.0 (55.0–72.0)
68.0 (58.0–77.0)
41.0 (23.0–58.0)
3.2 (2.9–3.6)
NR
NR
Bird, 2003 [39]
10
NA
10
3797
NA
3797
263.4 (100.1–426.6)a
NA
NR
NR
NA
NR
Brinkley-Rubinstein, 2019 [40]
635
NR
NR
1,974,823
NR
NR
32.2 (29.7–34.7)a
NR
NR
NR
NR
NR
Bukten, 2017 [41]
74
NR
NR
NR
NR
NR
100.0 (80.0–130.0)
NR
NR
NR
NR
NR
Bukten, 2021 [61]
749
NR
NR
904,331
NR
NR
82.8 (76.9–88.8)
NR
NR
NR
NR
NR
Chang, 2015 [50]
471
36
435
238,457
16,935
221,522
198.0 (180.0–215.0)
213.0 (143.0–282.0)
196.0 (178.0–215.0)
NR
NR
NR
Coffey, 2003 [53]
23
1
22
11,333
619
10,714
NR
NR
NR
9.2 (5.8, 14.7)
NR
NR
Coffey, 2004 [54]
34
NR
NR
19,949
NR
NR
170.0 (120.0–240.0)
NR
NR
NR
NR
NR
Dirkzwager, 2012 [55]
12
NR
NR
NR
NR
NR
NR
NR
NR
6.7 (2.9–10.5)
NR
NR
Farrell, 2008 [62]c
36
NR
NR
48,578
NR
NR
74.0 (50.0–98.0)
NR
NR
NR
NR
NR
Graham, 2003 [56]
279
NR
NR
25,469
NR
NR
181.4 (160.1–202.7)a
NR
NR
NR
NR
NR
Haglund, 2014 [49]
127
12
115
NR
NR
NR
204.0 (168.5–239.5)b
NR
NR
18.4 (13.9–23.8)
NR
NR
Harding-Pink, 1990 [63]
5
NR
NR
8200
NR
NR
61.0 (7.5–114.4)a
NR
NR
NR
NR
NR
Jones, 2017 [58]
39
NR
NR
147,782
NR
NR
26.4 (18.1–34.7)a
NR
NR
14.5 (10.3–19.8)
NR
NR
Kariminia, 2007a, b [14, 52]d
724
46
678
557,352
56,354
500,998
129.9 (120.4–139.4)a
135 (96.0–174.0)b
82 (75.8, 88.2)b
4.2 (0.2–8.2)a,d
11.5 (4.9–18.2)a,d
4.0 (0.1–8.0)a,d
Kouyoumdjian, 2016 [43]
340
NR
NR
580,003
57,261
522,742
58.6 (52.4–64.9)a
NR
NR
4.3 (3.9–4.8)
NR
NR
Lim, 2012 [44]
35
5
30
379,363
NR
NR
9.2 (6.2–12.3)a
NR
NR
1.0 (0.7–1.4)
3.5 (1.2–8.3)
0.9 (0.6–1.2)
Pratt et al. 2006 [48]
382
34
348
244,988
18,942
226,046
156.0 (140.4–171.6)b
180.0 (119.5–240.5)b
154.0 (137.8–170.1)a
13.5 (12.2–14.9)
35.8 (25.4–50.2)
8.3 (7.5–9.3)
Rosen et al. 2008 [59]
746
NA
746
1,822,869
NA
1,822,869
40.9 (38.0–43.9)a
NA
40.9 (38.0–43.9)a
NR
NA
NR
Rosen et al. 2020 [60]
179
NR
NR
471,282
NR
NR
38.0 (32.4–43.6)b
NR
NR
NR
NR
NR
Sailas et al. 2006 [57]
148
NR
NR
43,411
NR
NR
340.9 (286.0–395.9)a
NR
NR
NR
NR
NR
Spittal et al. 2014 [47]
371
30
341
270,394
31,134
239,260
137.0 (123.1–151.0)b
96.0 (6.6–130.4)b
143.0 (127.8–158.2)b
7.6 (6.8–8.4)
14.2 (9.6–20.3)
4.8 (4.3–5.4)
Stewart et al. 2004 [45]
64
4
60
NR
NR
NR
203.7 (153.8–253.5)
NR
NR
5.0 (0.7–9.3)
16.1 (8.3–24.0)
4.7 (0.4–8.9)
van Dooren et al. 2013 [46]
84
11
73
38,769
4717
34,052
216.7 (170.3–263.0)a
233.2 (95.4–371.0)a
214.4 (165.2–263.6)a
NR
NR
NR
CMR crude mortality rate, SMR standardised mortality ratio, NA not applicable, NR not reported
aPoint estimate and confidence interval calculated from available data
bConfidence interval calculated from available data
cFigures reported are those from Zlodre & Fazel (2012)
dTwo studies from one cohort were included. We used data from Kariminia 2007b to calculate CMRs overall and by sex. For SMR calculations, we used the number of expected deaths for the general population from Kariminia 2007a and the number of observed deaths in the study cohort from Kariminia 2007b to calculate SMRs excluding time in prison
The data sources and outcome definitions used in each included study are summarised in Table S5. Of the 26 studies reporting on suicide, most (n = 23) reported using the International Classification of Diseases (ICD) to define death by suicide. Of the 26 suicide studies, 11 examined confirmed deaths by suicide exclusively (e.g., ICD9: E950, E959, ICD10: X60, X84) [14, 3947, 61], three included both suicide and unnatural deaths with undetermined intent (e.g., ICD10: X60, X84, Y10, Y34) [4850], and 12 did not provide detailed information about suicide definitions [5160, 62, 63].
The 26 included studies that reported on suicide were published between 1990 and 2021, and had a median follow-up of 10 years (IQR: 6, 16 years). The median MASTER scale score was 21 (range 16, 26). Sources of bias included short follow up periods, and limitations regarding sampling (e.g., only including people who were incarcerated for their first offence). Most of the 26 suicide studies reported on non-sex stratified samples (n = 24), with all samples either mostly, or exclusively, comprising men. Two of the 26 suicide studies reported on male-only cohorts, and no studies reported on female-only cohorts. All 26 suicide studies reported on cohort studies, with 24 using a retrospective and two using a prospective design. Twenty-three studies reported on adult samples released from jail or prison, and three studies (with two from one cohort) reported on people released from youth detention. All studies included in this review (n = 29) were from high-income countries, most frequently Australia (n = 10). Reported sociodemographic characteristics of study participants are presented in Table S6.

Suicide

Suicide CMRs for non-sex stratified samples were available in 19 studies. Suicide CMRs for women were reported in six studies, and for men in seven studies (including one male-only cohort). CMRs for suicide per 100,000 person years ranged from 9.2 to 340.9 for non-sex stratified samples, 68.0 to 233.2 for women, and from 40.9 to 214.4 for men. The pooled suicide CMR per 100,000 person years was 114.5 (95%CI 97.0, 132.0, I2 = 99.2%) for non-sex stratified samples, 139.5 (95% CI 91.3, 187.8, I2 = 88.6%) for women, and 121.8 (95%CI 82.4, 161.2, I2 = 99.1%) for men (Fig. 1). Forest plots for each estimate are presented in Figures S2–4. For all three pooled estimates, between-study heterogeneity was high (i.e., I2 > 75.0%), and Cochran’s Q tests were significant (i.e., p < 0.001).
We used univariable meta-regression to identify possible sources of heterogeneity in the pooled suicide CMR for non-sex stratified samples (Table 3). The pooled suicide CMR was higher for studies examining people released from youth detention compared to prison or jail (p = 0.03; I2 = 99.0%). Pooled suicide CMRs also varied significantly by country (p < 0.001; I2 = 96.7%; Table 3). We were not able to perform meta-regression for studies reporting female-only or male-only findings, due to the small number of studies that reported suicide CMRs by sex (n = 6 and n = 7 for women and men, respectively).
Table 3
Univariable meta-regressions of (1) the crude mortality rate (CMR) for suicide and of (2) the standarised mortality ratio (SMR) for suicide, by study factors
Factor
Meta-regression (1) Crude mortality rate (CMR) of suicide by study factors
Meta-regression (2) Standardised mortality ratio (SMR) of suicide by study factors
Number of studies (n = 19)
CMR (95% CI) per 100,000 person years
p value
I2
Number of studies (n = 11)
SMR (95% CI)
p value
I2
Type of incarceration facility
        
 Jail
1
9.2 (0.0, 163.2)
0.033
99.0%
1
1.0 (0.0, 12.7)
0.416
97.5%
 Prison
16
113.5 (74.5, 152.4)
  
9
8.4 (4.3, 12.5)
  
 Youth detention
2
256.5 (139.0, 374.0)
  
1
9.2 (0.0, 22.1)
  
Study design
        
 Prospective
1
204.0 (19.2, 388.8)
0.350
99.2%
1
6.7 (3.6, 9.9)
0.047
98.0%
 Retrospective
18
117.5 (73.4, 160.7)
  
10
18.4 (7.4, 29.4)
  
Interval censoring
        
 No
7
140.7 (70.2, 211.1)
0.494
99.2%
4
11.0 (5.4, 16.7)
0.131
97.3%
 Yes
12
111.4 (58.0, 164.8)
  
7
5.9 (1.8, 10.0)
  
Total length of follow-up (years)a
        
 ≤ 10 years
9
123.4 (60.6, 186.1)
0.955
99.2%
6
10.1 (4.9, 15.3)
0.195
98.1%
 > 10 years
10
121.0 (61.6, 180.5)
  
5
5.8 (1.14, 11.9)
  
Countryb
        
 Australia
6
166.5 (137.8, 195.1)
 < 0.001
96.7%
4
6.6 (0.3, 12.8)
0.337
95.1%
 Canada
1
58.6 (0.0, 118.6)
  
1
4.3 (0.0, 15.8)
  
 Finland
1
340.9 (255.4, 426.5)
  
  
 Netherlands
1
6.7 (0.0, 19.3)
  
 Norway
1
82.8 (22.9, 142.8)
  
  
 Sweden
2
200.6 (153.4, 247.8)
  
1
18.4 (5.1, 31.7)
  
 England and Wales
2
117.0 (72.1, 162.1)
  
1
13.5 (1.9, 25.1)
  
 US
6
34.9 (10.4, 59.3)
  
3
5.5 (0.0, 12.5)
  
Male only samplesb
        
 No
18
126.6 (83.5, 169.8)
0.344
99.24%
 Yes
1
40.9 (0.0, 221.6)
  
  
CMR crude mortality rate, SMR standardised mortality ratio, 95% CI 95% confidence interval
aIncluded studies for meta-analysis 1 had a median follow up length of 10 years, range 0–25 years. Included studies for meta-analysis 2 had a median follow-up length of 10.8 years, range 0–25 years
bAs no studies included in the primary analysis reported SMRs for men only, the “Male only samples” variable was not included in meta-regression 2
Six studies provided sufficient data to calculate suicide IRRs after release from incarceration by sex, using men as the reference group (Fig. 2). Suicide IRRs ranged from 0.7 to 1.8. The pooled suicide IRR estimate for the association between sex and suicide provided no indication of a difference in suicide risk between women and men (1.1, 95% CI 0.9, 1.4) The estimate of heterogeneity was high (I2 = 82.2%) and the Cochran’s Q test was significant (p < 0.001). Due to the small number of studies reporting suicide IRRs, we were unable to perform a meta-regression for this estimate.
Eleven studies reported suicide SMRs for non-sex stratified samples. Five studies reported suicide SMRs for women only and men only, respectively. The reference populations for suicide SMRs were usually the general population of the geographic location of the study matched on age, sex and/or ethnicity (Table 1). Suicide SMRs ranged from 1.0 to 18.4 for non-sex stratified samples, from 3.5 to 35.8 for women, and from 0.9 to 8.3 for men. The pooled suicide SMR for non-sex stratified samples was 7.4 (95% CI 5.4, 9.4, I2 = 98.3%). The pooled suicide SMR for women (14.9, 95% CI 6.7, 23.1, I2 = 88.3%) was more than three times greater than the pooled suicide SMR for men (4.6, 95% CI 1.3, 7.8, I2 = 98.8%). Forest plots for each estimate are presented in Fig. 3, and Figures S5 and 6. The pooled estimates are presented in Fig. 1. For all three pooled estimates, between-study heterogeneity was high (I2 > 75.0%), and the Cochran’s Q tests were significant (i.e., p < 0.001).
We used univariable meta-regression to identify possible sources of heterogeneity in the pooled suicide SMR for non-sex stratified samples (Table 3). The pooled suicide SMR was higher for studies with a retrospective compared to a prospective design (p < 0.05; I2 = 98.4%). We were not able perform meta-regressions for studies reporting female-only or male-only findings, due to the small number of studies that reported suicide SMRs by sex (n = 5 for women and n = 5 for men, respectively).
Six studies examined sex as a risk factor for suicide as part of their analyses (Table S7). No studies observed sex differences in the risk of suicide after release from incarceration.
The results of sensitivity analyses including studies that reported the measures of interest but did not meet the criteria to be included in the primary analysis (i.e., reporting fewer than 20 suicide deaths or less than six months of follow-up), were consistent with the results of the primary analysis (Tables S8–9; Figures S7, 9). The results of sensitivity analyses that restricted the analysis to studies with a score above the median on the MASTER scale were also consistent with the results of the primary analysis (Table S8, 10–11; Figures S8, 10) except that type of incarceration facility was no longer significant in the meta-regression for non-sex stratified CMRs (Table S10).

Suicidal ideation and self-harm

The one study that reported on suicidal ideation after release from incarceration used data from 1727 participants of the US National Longitudinal Study of Adolescent to Adult Health. Data on incarceration history were collected during Wave I of the study (in 1994) and self-reported data on suicidal ideation were collected during Wave IV (in 2008). This study examined sex as a risk factor for adult suicidal ideation and found no difference between women and men (adjusted odds ratio 1.2, 95% CI 0.7, 2.2; male reference group).
The two included studies on self-harm after release from incarceration were from the same cohort, comprising 277 women and 1030 men released from prisons in Queensland, Australia. This cohort was followed prospectively using linked administrative health records. The first study reported a higher incidence of self-harm-related emergency department presentations for women released from incarceration (IR = 60.5 per 1000 person-years) compared to their male counterparts (IR = 49.2 per 1000 person-years). The second study used ambulance records to determine the incidence of ambulance attendances due to self-harm in the cohort. Rates of ambulance attendance for self-harm were similar for women (IR = 25.6 per 1000 person-years, 95% CI 20.7, 31.4) and men (IR = 25.5 per 1000 person-years, 95% CI 16.8, 37.1). There was no significant sex difference in the rate of ambulance attendance for self-harm (IRR = 1.1, 95% CI 0.52, 2.2; adjusted IRR = 0.67, 95% CI 0.3, 1.4).

Discussion

We synthesised evidence on suicide, self-harm, and suicidal ideation among adults and youth after release from incarceration, and examined sex differences in these outcomes. Twenty-nine studies on suicide, two studies on self-harm, and one study on suicidal ideation met our inclusion criteria. Rates of suicide between women and men released from incarceration were similar, which contrasts with evidence from general population studies in which rates of suicide are typically higher among men than women [4]. We found that women released from incarceration have a risk of suicide that is almost 15 times greater than that of their general population counterparts. These findings have important implications for evidence-based suicide prevention efforts and transitional support for people released from incarceration, including services for both women and men that address their specific needs. Although evidence on self-harm and suicidal ideation among people released from incarceration is limited, the available findings indicate that high rates of these outcomes exist among this group. There is an urgent need for more high-quality research in these outcomes among people released from incarceration.
Although a high level of heterogeneity in a meta-analysis of observational studies is not unexpected [67], the amount of unexplained variance between studies in our findings means that they should be interpreted with some caution. The variance in our review may be due to a range of measured and unmeasured factors, such as underlying suicide risk across countries, the age of release from incarceration, access to various suicide methods across settings (e.g., firearm availability) and methodological factors (e.g., prospective or retrospective designs). Additionally, heterogeneity has been recognised as an issue in this area in a previous review of data linkage studies on mortality after release from incarceration [68]. This review recommended that to reduce avoidable heterogeneity, data linkage studies should ascertain deaths from a national death registry (rather than using state-based or coronial records) and exclude or adjust for subsequent periods of imprisonment [68]. Despite these recommendations having been made almost a decade ago, our study has found that these are ongoing methodological issues in this literature that potentially reduce study quality. Future research using linked data to examine suicide deaths after release from incarceration should consider such recommendations, to increase study quality, the utility of findings, and potential for evidence synthesis.
Our finding that people released from incarceration are more than seven times more likely than people in the general population to die by suicide is similar to findings from a previous meta-analysis on suicide after release from incarceration (RR = 6.8) [22]. Established predictors of suicide in the general population include, but are not limited to, unemployment [69], mental illness [70], homelessness [71], low socioeconomic status [72], and acute psychosocial stress [73]. These factors are common among people with a history of incarceration, and may be particularly pronounced in the weeks and months following release [13, 74, 75]. Further, a lack of continuity of care, including gaining or regaining access to mental health services in the community, is a common experience for people released from incarceration [7678], and may contribute to their elevated suicide risk. A study from England and Wales found that increasing age over 25 years, release from a local prison, a history of alcohol misuse or self-harm, a psychiatric diagnosis, and requiring Community Mental Health Services (CMHS) follow-up after release from prison were all risk factors for suicide among people released from prison, while non-white ethnicity and a history of previous imprisonment were protective factors [79]. Similarly, a Swedish study found that a previous diagnosis of substance use disorder, previous suicide attempt and being born in Sweden (compared to being born abroad) were risk factors for suicide after release from incarceration [49]. Incarceration-level risk factors for suicide explored in previous research includes prison security level, with people released from high-security prisons experiencing an elevated risk of suicide compared to those released from low-security prisons [80]. Previous research on suicide risk during incarceration indicates that an interaction of social and incarceration-level factors (e.g., isolation) contribute to the risk of suicide during incarceration, rather than incarceration-level factors alone [1].
We found that suicide rates were similar between women and men released from incarceration. This is in contrast with the general population, where men have higher suicide rates than women [5]. Taken together, our findings may indicate that women released from incarceration are particularly vulnerable to suicide, because their rates of suicide are so high that they reach the same level as men released from incarceration. Consistent with this, we found that women released from incarceration are almost 15 times more likely than women in the general population to die by suicide. We found that, although both women and men released from incarceration are at increased risk of suicide relative to the same-sex general population, this elevation in risk is more than three times greater for women than for men (i.e., SMR of 14.9 and 4.6 for women and men, respectively).
Understanding the markedly elevated suicide risk among women released from incarceration compared to the general population requires examination of the potentially gender-specific risk factors for suicide to which women released from incarceration are exposed. Compared to both women in the general population and men released from incarceration, women released from incarceration experience substantially higher rates of homelessness [81, 82], substance use [19, 81], and mental illness [15, 83], which are established predictors of suicide [70, 71, 84]. Women released from incarceration may experience additional ‘gendered’ risk factors for suicide such as a history of childhood sexual abuse, trauma, and exposure to intimate partner violence [18]. These risk factors are more common among justice-involved women compared to both women in the general population [8587] and justice-involved men [82, 8890], and are also key drivers of female incarceration [88, 91]. These are also established risk factors for suicide [9295]. Removal of one’s children is another risk factor for suicide that is more common among women with a history of incarceration compared to women in the general population [9698]. There is evidence from the general population that exposure to more than one the aforementioned suicide risk factors compounds risk [99, 100]. Given that women released from incarceration typically experience a range of suicide risk factors [101, 102], the compounded and interacting effects of these exposures might explain, in part, their high suicide rates compared to women in the general population, and their similar rates to men released from incarceration. Targeted research, involving large and representative cohorts of women released from incarceration, are urgently required to explicate these pathways and inform prevention efforts tailored to women.
Our finding that suicide rates between women and men released from incarceration are similar does not necessarily mean that the same suicide prevention efforts will be effective for women and men in this population. The unique challenges women experience after release from incarceration [25, 101] must be considered as part of policy and planning. Existing transitional services are typically based on men’s needs and then applied to women [101] and, given the elevated risk of suicide among men and women released from incarceration, are evidently failing to adequately address both women’s and men’s suicide risk. A recent review of suicide prevention interventions among justice-involved people found limited evidence on interventions to address suicide risk, particularly for justice-involved women [103]. Another systematic review examining suicide prevention interventions among incarcerated people did not examine sex or gender differences at all [104]. More research is needed to inform gender-sensitive suicide prevention interventions to address both women’s and men’s unique needs, particularly among people in contact with the criminal justice system. Addressing the risk factors for why women enter incarceration, which overlap with risk factors for women’s suicide after release from incarceration (e.g., intimate partner violence, exposure to trauma, and removal of children) may be an effective way of reducing both women’s incarceration and suicide risk post-release.
Research on non-fatal suicidal outcomes after release from incarceration remains a critical gap in the literature. Our review identified just two studies on self-harm [64, 65] and one study on suicidal ideation [66] in people released from incarceration. The available findings indicate that people released from incarceration experience high rates of self-harm, with no difference by sex [64, 65]. This contrasts with the higher rates of self-harm and suicidal ideation among women in the general population compared to men. Although self-harm and suicidal ideation have been relatively well examined among incarcerated populations [3, 105], our study highlights the dearth of studies examining self-harm and suicidal ideation after incarceration. Further, although self-harm is often monitored in police custody or during incarceration [106], there does not appear to be monitoring of self-harm after release from incarceration, by health or justice agencies. This is despite evidence that the rates of these outcomes are an order of magnitude higher after incarceration than in custody [42]. Robust data on the incidence of self-harm and suicidal ideation after release from incarceration, including sex differences, are necessary to inform upstream transitional supports (e.g., addressing housing, supporting prosocial relationships, and early contact with mental health services), so that service providers can intervene as quickly as possible among both women and men at risk of suicide.
Our review is the most comprehensive to date to examine suicide, self-harm, and suicidal ideation after release from incarceration. We followed best-practice reporting guidelines [26] and excluded studies with small numbers of suicide deaths and short follow-up times; a conservative approach consistent with previous work [21]. The heterogeneity of estimates examined in our meta-analysis was high, and this was not accounted for by the factors examined in meta-regression. Due to the uneven distribution of covariates among studies, our meta-regression may lack sufficient statistical power to identify other sources of heterogeneity. All included studies reported on cohort studies, which is likely the strongest study design to examine the effect measures of interest in this population. However, there is considerable scope for methodological heterogeneity in cohort studies [68]. Our review was limited to studies published in peer-reviewed journals. However, there is some evidence that the inclusion of grey literature has a meaningful impact on meta-analyses in only a minority of reviews [107]. It is possible that including only English-language studies may have introduced some bias to our review, although there is evidence that excluding non-English studies does not have a meaningful impact on systematic review findings [108, 109]. All included studies were from high-income countries, which arguably precludes generalizing our findings to low- and middle-income countries (LMICs). High-quality evidence on suicide among people released from incarceration in LMICs is urgently needed.
Given the structure of the criminal justice system in most jurisdictions (i.e., incarcerating people by sex and not gender) and the scope of the available evidence, our review focused on sex differences and did not examine gender differences. There is some evidence that incarcerated transgender people have higher rates of suicide and self-harm compared to the general incarcerated population [110]. Future primary data collection studies on suicide, self-harm, and/or suicidal ideation in these settings should consider the experiences of transgender and gender diverse people.
People released from incarceration are more than seven times more likely than the general population to die by suicide. Women released from incarceration experience a particularly elevated risk of suicide compared to women in the general population. However, little is known about self-harm and suicidal ideation among this population, including differences between women and men. Our findings illustrate that suicide is not a ‘male problem’ only, particularly among people released from incarceration. Population-level suicide prevention policies must consider the needs of high-risk, marginalised groups, such as people released from incarceration, including the differences that exist between women and men.
These findings have important implications for the design and delivery of evidence-based transitional services for people released from incarceration that meet the needs of both women and men. Attention to the specific needs of women to reduce suicide risk is needed as part of these services. Along with robust, primary data collection about suicidal ideation and self-harm, more research is needed about people released from incarceration in LMICs, and about people who do not identify with their sex assigned at birth, to inform inclusive and effective suicide prevention policies and practices for these people who are marginalised.

Acknowledgements

MW is supported by a National Health and Medical Research Council (NHMRC) Postgraduate Scholarship (GNT1151103). RB is supported by an NHMRC Emerging Leader Investigator Grant (EL2; GNT2008073). MW, RB, and SAK are researchers in the NHMRC-funded Centre of Research Excellence in Driving Global Investment in Adolescent Health (GNT1171981). We would like to thank Kathryn Snow for her assistance designing the study. We would also like to thank Poh Chua from the Murdoch Children’s Research Institute library for her assistance with designing the database searches.

Declarations

Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article. No funding was received for conducting this study.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Unsere Produktempfehlungen

Neuer Inhalt

Print-Titel

e.Med Interdisziplinär

Kombi-Abonnement

Jetzt e.Med zum Sonderpreis bestellen!

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Jetzt bestellen und 100 € sparen!

e.Med Neurologie & Psychiatrie

Kombi-Abonnement

Mit e.Med Neurologie & Psychiatrie erhalten Sie Zugang zu CME-Fortbildungen der Fachgebiete, den Premium-Inhalten der dazugehörigen Fachzeitschriften, inklusive einer gedruckten Zeitschrift Ihrer Wahl.

Weitere Produktempfehlungen anzeigen
Anhänge

Supplementary Information

Below is the link to the electronic supplementary material.
Literatur
2.
Zurück zum Zitat Hawton K, Linsell L, Adeniji T, Sariaslan A, Fazel S (2014) Self-harm in prisons in England and Wales: an epidemiological study of prevalence, risk factors, clustering, and subsequent suicide. Elsevier Science B.V., Amsterdam., Great Britain Hawton K, Linsell L, Adeniji T, Sariaslan A, Fazel S (2014) Self-harm in prisons in England and Wales: an epidemiological study of prevalence, risk factors, clustering, and subsequent suicide. Elsevier Science B.V., Amsterdam., Great Britain
3.
Zurück zum Zitat Favril L, Vander Laenen F, Vandeviver C, Audenaert K (2017) Suicidal ideation while incarcerated: prevalence and correlates in a large sample of male prisoners in Flanders, Belgium. Int J Law Psychiatry 55:19–28PubMedCrossRef Favril L, Vander Laenen F, Vandeviver C, Audenaert K (2017) Suicidal ideation while incarcerated: prevalence and correlates in a large sample of male prisoners in Flanders, Belgium. Int J Law Psychiatry 55:19–28PubMedCrossRef
4.
Zurück zum Zitat Naghavi M (2019) Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016. bmj 364 Naghavi M (2019) Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016. bmj 364
5.
Zurück zum Zitat Hawton K (2000) Sex and suicide: Gender differences in suicidal behaviour. Br J Psychiatry 177(6):484–485PubMedCrossRef Hawton K (2000) Sex and suicide: Gender differences in suicidal behaviour. Br J Psychiatry 177(6):484–485PubMedCrossRef
6.
Zurück zum Zitat Dye MH (2011) The gender paradox in prison suicide rates. Women Crim Just 21(4):290–307CrossRef Dye MH (2011) The gender paradox in prison suicide rates. Women Crim Just 21(4):290–307CrossRef
8.
Zurück zum Zitat Larney S, Topp L, Indig D, Odriscoll C, Greenberg D (2012) A cross-sectional survey of prevalence and correlates of suicidal ideation and suicide attempts among prisoners in New South Wales, Australia. BMC Public Health 12(1):1–7CrossRef Larney S, Topp L, Indig D, Odriscoll C, Greenberg D (2012) A cross-sectional survey of prevalence and correlates of suicidal ideation and suicide attempts among prisoners in New South Wales, Australia. BMC Public Health 12(1):1–7CrossRef
9.
Zurück zum Zitat Australian Institute of Health and Welfare (2018) Deaths in Australia, 2017 Australian Institute of Health and Welfare (2018) Deaths in Australia, 2017
10.
Zurück zum Zitat Kushel MB, Hahn JA, Evans JL, Bangsberg DR, Moss AR (2005) Revolving doors: imprisonment among the homeless and marginally housed population. Am J Public Health 95(10):1747–1752PubMedPubMedCentralCrossRef Kushel MB, Hahn JA, Evans JL, Bangsberg DR, Moss AR (2005) Revolving doors: imprisonment among the homeless and marginally housed population. Am J Public Health 95(10):1747–1752PubMedPubMedCentralCrossRef
11.
Zurück zum Zitat Winter R, Young J, Stoove M, Agius P, Hellard M, Kinner S (2016) Resumption of injecting drug use following release from prison in Australia. Drug Alcohol Depend 168:104–111PubMedCrossRef Winter R, Young J, Stoove M, Agius P, Hellard M, Kinner S (2016) Resumption of injecting drug use following release from prison in Australia. Drug Alcohol Depend 168:104–111PubMedCrossRef
14.
Zurück zum Zitat Kariminia A, Butler TG, Corben SP, Levy MH, Grant L, Kaldor JM, Law MG (2007) Extreme cause-specific mortality in a cohort of adult prisoners–1988 to 2002: a data-linkage study. Int J Epidemiol 36(2):310–316PubMedCrossRef Kariminia A, Butler TG, Corben SP, Levy MH, Grant L, Kaldor JM, Law MG (2007) Extreme cause-specific mortality in a cohort of adult prisoners–1988 to 2002: a data-linkage study. Int J Epidemiol 36(2):310–316PubMedCrossRef
16.
Zurück zum Zitat Freudenberg N, Daniels J, Crum M, Perkins T, Richie BE (2008) Coming home from jail: the social and health consequences of community reentry for women, male adolescents, and their families and communities. Am J Public Health 9:191CrossRef Freudenberg N, Daniels J, Crum M, Perkins T, Richie BE (2008) Coming home from jail: the social and health consequences of community reentry for women, male adolescents, and their families and communities. Am J Public Health 9:191CrossRef
18.
Zurück zum Zitat Simpson SS, Yahner JL, Dugan L (2008) Understanding women’s pathways to jail: analysing the lives of incarcerated women. Australian and New Zealand J Criminol 1:84CrossRef Simpson SS, Yahner JL, Dugan L (2008) Understanding women’s pathways to jail: analysing the lives of incarcerated women. Australian and New Zealand J Criminol 1:84CrossRef
21.
Zurück zum Zitat Zlodre J, Fazel S (2012) All-cause and external mortality in released prisoners: systematic review and meta-analysis. Am J Public Health 102(12):e67–e75PubMedPubMedCentralCrossRef Zlodre J, Fazel S (2012) All-cause and external mortality in released prisoners: systematic review and meta-analysis. Am J Public Health 102(12):e67–e75PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Jones D, Maynard A (2013) Suicide in recently released prisoners: a systematic review. Ment Health Pract 17(3):20–27CrossRef Jones D, Maynard A (2013) Suicide in recently released prisoners: a systematic review. Ment Health Pract 17(3):20–27CrossRef
23.
Zurück zum Zitat World Prison Brief (2018) World prison population list. Institute for Crime and Justice Policy Research, London World Prison Brief (2018) World prison population list. Institute for Crime and Justice Policy Research, London
24.
Zurück zum Zitat Walmsley R (2017) World female imprisonment list, fourth edition: women and girls in penal institutions, including pre-trial detainees/remand prisoners. Institute for Criminal Policy Research, London Walmsley R (2017) World female imprisonment list, fourth edition: women and girls in penal institutions, including pre-trial detainees/remand prisoners. Institute for Criminal Policy Research, London
25.
Zurück zum Zitat Sheehan R (2014) Women exiting prison: supporting successful reintegration in a changing penal climate. Br J Commun Justice 12(2):57–66 Sheehan R (2014) Women exiting prison: supporting successful reintegration in a changing penal climate. Br J Commun Justice 12(2):57–66
26.
Zurück zum Zitat Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, Koffel JB, Blunt H, Brigham T, Chang S, Clark J, Conway A, Couban R, de Kock S, Farrah K, Fehrmann P, Foster M, Fowler SA, Glanville J, Harris E, Hoffecker L, Isojarvi J, Kaunelis D, Ket H, Levay P, Lyon J, McGowan J, Murad MH, Nicholson J, Pannabecker V, Paynter R, Pinotti R, Ross-White A, Sampson M, Shields T, Stevens A, Sutton A, Weinfurter E, Wright K, Young S, Group P-S (2021) PRISMA-S: an extension to the PRISMA Statement for reporting literature searches in systematic reviews. Systematic Rev 10(1):39. https://doi.org/10.1186/s13643-020-01542-zCrossRef Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, Koffel JB, Blunt H, Brigham T, Chang S, Clark J, Conway A, Couban R, de Kock S, Farrah K, Fehrmann P, Foster M, Fowler SA, Glanville J, Harris E, Hoffecker L, Isojarvi J, Kaunelis D, Ket H, Levay P, Lyon J, McGowan J, Murad MH, Nicholson J, Pannabecker V, Paynter R, Pinotti R, Ross-White A, Sampson M, Shields T, Stevens A, Sutton A, Weinfurter E, Wright K, Young S, Group P-S (2021) PRISMA-S: an extension to the PRISMA Statement for reporting literature searches in systematic reviews. Systematic Rev 10(1):39. https://​doi.​org/​10.​1186/​s13643-020-01542-zCrossRef
27.
Zurück zum Zitat Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE (2021) PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. bmj 372 Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE (2021) PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. bmj 372
28.
Zurück zum Zitat Spurling GK, Del Mar CB, Dooley L, Foxlee R, Farley R (2017) Delayed antibiotic prescriptions for respiratory infections. Cochrane Database of Systematic Reviews (9) Spurling GK, Del Mar CB, Dooley L, Foxlee R, Farley R (2017) Delayed antibiotic prescriptions for respiratory infections. Cochrane Database of Systematic Reviews (9)
30.
Zurück zum Zitat Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology, vol 3. Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology, vol 3. Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia
31.
Zurück zum Zitat Stone JC, Glass K, Clark J, Munn Z, Tugwell P, Doi SA (2019) A unified framework for bias assessment in clinical research. Int J Evid Based Health 17(2):106–120CrossRef Stone JC, Glass K, Clark J, Munn Z, Tugwell P, Doi SA (2019) A unified framework for bias assessment in clinical research. Int J Evid Based Health 17(2):106–120CrossRef
32.
Zurück zum Zitat DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188PubMedCrossRef DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188PubMedCrossRef
33.
Zurück zum Zitat Riley RD, Higgins JP, Deeks JJ (2011) Interpretation of random effects meta-analyses. Bmj 342 Riley RD, Higgins JP, Deeks JJ (2011) Interpretation of random effects meta-analyses. Bmj 342
35.
Zurück zum Zitat Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, Britten N, Roen K, Duffy S (2006) Guidance on the conduct of narrative synthesis in systematic reviews. A product from the ESRC methods programme Version 1:b92 Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, Britten N, Roen K, Duffy S (2006) Guidance on the conduct of narrative synthesis in systematic reviews. A product from the ESRC methods programme Version 1:b92
36.
Zurück zum Zitat Knapp G, Hartung J (2003) Improved tests for a random effects meta-regression with a single covariate. Stat Med 22(17):2693–2710PubMedCrossRef Knapp G, Hartung J (2003) Improved tests for a random effects meta-regression with a single covariate. Stat Med 22(17):2693–2710PubMedCrossRef
38.
Zurück zum Zitat Corporation S (2021) Stata 17. Stata Corporation, Texas, US Corporation S (2021) Stata 17. Stata Corporation, Texas, US
41.
Zurück zum Zitat Bukten A, Stavseth MR, Skurtveit S, Tverdal A, Strang J, Clausen T (2017) High risk of overdose death following release from prison: variations in mortality during a 15-year observation period. Addiction 112(8):1432–1439PubMedCrossRef Bukten A, Stavseth MR, Skurtveit S, Tverdal A, Strang J, Clausen T (2017) High risk of overdose death following release from prison: variations in mortality during a 15-year observation period. Addiction 112(8):1432–1439PubMedCrossRef
42.
Zurück zum Zitat Kariminia A, Law MG, Butler TG, Levy MH, Corben SP, Kaldor JM, Grant L (2007) Suicide risk among recently released prisoners in New South Wales, Australia. Australia Kariminia A, Law MG, Butler TG, Levy MH, Corben SP, Kaldor JM, Grant L (2007) Suicide risk among recently released prisoners in New South Wales, Australia. Australia
44.
Zurück zum Zitat Lim S, Seligson AL, Parvez FM, Luther CW, Mavinkurve MP, Binswanger IA, Kerker BD (2012) Risks of drug-related death, suicide, and homicide during the immediate post-release period among people released from New York city jails, 2001–2005. Am J Epidemiol 175(6):519–526. https://doi.org/10.1093/aje/kwr327CrossRefPubMed Lim S, Seligson AL, Parvez FM, Luther CW, Mavinkurve MP, Binswanger IA, Kerker BD (2012) Risks of drug-related death, suicide, and homicide during the immediate post-release period among people released from New York city jails, 2001–2005. Am J Epidemiol 175(6):519–526. https://​doi.​org/​10.​1093/​aje/​kwr327CrossRefPubMed
45.
Zurück zum Zitat Stewart LM, Henderson CJ, Hobbs MST, Ridout SC, Knuiman MW (2004) Risk of death in prisoners after release from jail. Australian & New Zealand J Public Health 28(1):32–36CrossRef Stewart LM, Henderson CJ, Hobbs MST, Ridout SC, Knuiman MW (2004) Risk of death in prisoners after release from jail. Australian & New Zealand J Public Health 28(1):32–36CrossRef
48.
Zurück zum Zitat Pratt D, Piper M, Appleby L, Webb R, Shaw J (2006) Suicide in recently released prisoners: a population-based cohort study. Lancet 368(9530):119–123PubMedCrossRef Pratt D, Piper M, Appleby L, Webb R, Shaw J (2006) Suicide in recently released prisoners: a population-based cohort study. Lancet 368(9530):119–123PubMedCrossRef
49.
Zurück zum Zitat Haglund A, Tidemalm D, Jokinen J, Långström N, Liechtenstein P, Fazel S, Runeson B (2014) Suicide after release from prison-a population-based cohort study from Sweden. J Clin Psychiatry 75(10):1047PubMedPubMedCentralCrossRef Haglund A, Tidemalm D, Jokinen J, Långström N, Liechtenstein P, Fazel S, Runeson B (2014) Suicide after release from prison-a population-based cohort study from Sweden. J Clin Psychiatry 75(10):1047PubMedPubMedCentralCrossRef
53.
54.
Zurück zum Zitat Coffey C, Wolfe R, Lovett AW, Moran P, Cini E, Patton GC (2004) Predicting death in young offenders: a retrospective cohort study. Med J Aust 181(9):473–477PubMedCrossRef Coffey C, Wolfe R, Lovett AW, Moran P, Cini E, Patton GC (2004) Predicting death in young offenders: a retrospective cohort study. Med J Aust 181(9):473–477PubMedCrossRef
55.
Zurück zum Zitat Dirkzwager A, Nieuwbeerta P, Blokland A (2012) Effects of first-time imprisonment on postprison mortality: a 25-year follow-up study with a matched control group. J Res Crime Delinq 49(3):383–419CrossRef Dirkzwager A, Nieuwbeerta P, Blokland A (2012) Effects of first-time imprisonment on postprison mortality: a 25-year follow-up study with a matched control group. J Res Crime Delinq 49(3):383–419CrossRef
56.
Zurück zum Zitat Graham A (2003) Post-prison mortality: unnatural death among people released from Victorian prisons between January 1990 and December 1999. Aust N Z J Criminol 36(1):94–108CrossRef Graham A (2003) Post-prison mortality: unnatural death among people released from Victorian prisons between January 1990 and December 1999. Aust N Z J Criminol 36(1):94–108CrossRef
57.
Zurück zum Zitat Sailas ES, Feodoroff B, Lindberg NC, Virkkunen ME, Sund R, Wahlbeck K (2006) The mortality of young offenders sentenced to prison and its association with psychiatric disorders: a register study. Eur J Public Health 16(2):193–197PubMedCrossRef Sailas ES, Feodoroff B, Lindberg NC, Virkkunen ME, Sund R, Wahlbeck K (2006) The mortality of young offenders sentenced to prison and its association with psychiatric disorders: a register study. Eur J Public Health 16(2):193–197PubMedCrossRef
60.
Zurück zum Zitat Rosen DL, Kavee AL, Brinkley-Rubinstein L (2020) Postrelease mortality among persons hospitalized during their incarceration. Ann Epidemiol 45:54–60PubMedPubMedCentralCrossRef Rosen DL, Kavee AL, Brinkley-Rubinstein L (2020) Postrelease mortality among persons hospitalized during their incarceration. Ann Epidemiol 45:54–60PubMedPubMedCentralCrossRef
61.
Zurück zum Zitat Bukten A, Stavseth MR (2021) Suicide in Prison and After Release: A 17-Year National Cohort Study Bukten A, Stavseth MR (2021) Suicide in Prison and After Release: A 17-Year National Cohort Study
62.
Zurück zum Zitat Farrell M, Marsden J (2008) Acute risk of drug-related death among newly released prisoners in England and Wales. Addiction 103(2):251–255PubMedCrossRef Farrell M, Marsden J (2008) Acute risk of drug-related death among newly released prisoners in England and Wales. Addiction 103(2):251–255PubMedCrossRef
63.
65.
Zurück zum Zitat Borschmann R, Young JT, Moran P, Carroll M, Heffernan E, Spittal M, Mok K, Kinner SA (2017) Ambulance attendances resulting from self-harm after release from prison: a prospective data linkage study. Soc Psychiatry Psychiatr Epidemiol 52(10):1295–1305PubMedCrossRef Borschmann R, Young JT, Moran P, Carroll M, Heffernan E, Spittal M, Mok K, Kinner SA (2017) Ambulance attendances resulting from self-harm after release from prison: a prospective data linkage study. Soc Psychiatry Psychiatr Epidemiol 52(10):1295–1305PubMedCrossRef
66.
Zurück zum Zitat Barnert ES, Abrams LS, Dudovitz R, Coker TR, Bath E, Tesema L, Nelson BB, Biely C, Chung PJ (2019) What is the relationship between incarceration of children and adult health outcomes? Acad Pediatr 19(3):342–350PubMedCrossRef Barnert ES, Abrams LS, Dudovitz R, Coker TR, Bath E, Tesema L, Nelson BB, Biely C, Chung PJ (2019) What is the relationship between incarceration of children and adult health outcomes? Acad Pediatr 19(3):342–350PubMedCrossRef
67.
Zurück zum Zitat Imrey PB (2020) Limitations of meta-analyses of studies with high heterogeneity. JAMA Netw Open 3(1):e1919325–e1919325PubMedCrossRef Imrey PB (2020) Limitations of meta-analyses of studies with high heterogeneity. JAMA Netw Open 3(1):e1919325–e1919325PubMedCrossRef
68.
Zurück zum Zitat Kinner SA, Forsyth S, Williams G (2013) Systematic review of record linkage studies of mortality in ex-prisoners: why (good) methods matter. Addiction 108(1):38–49PubMedCrossRef Kinner SA, Forsyth S, Williams G (2013) Systematic review of record linkage studies of mortality in ex-prisoners: why (good) methods matter. Addiction 108(1):38–49PubMedCrossRef
69.
Zurück zum Zitat Blakely TA, Collings SC, Atkinson J (2003) Unemployment and suicide: evidence for a causal association? J Epidemiol Commun Health 57(8):594–600CrossRef Blakely TA, Collings SC, Atkinson J (2003) Unemployment and suicide: evidence for a causal association? J Epidemiol Commun Health 57(8):594–600CrossRef
70.
Zurück zum Zitat Mortensen PB, Agerbo E, Erikson T, Qin P, Westergaard-Nielsen N (2000) Psychiatric illness and risk factors for suicide in Denmark. The Lancet 355(9197):9–12CrossRef Mortensen PB, Agerbo E, Erikson T, Qin P, Westergaard-Nielsen N (2000) Psychiatric illness and risk factors for suicide in Denmark. The Lancet 355(9197):9–12CrossRef
71.
Zurück zum Zitat Votta E, Manion I (2004) Suicide, high-risk behaviors, and coping style in homeless adolescent males’ adjustment. J Adolesc Health 34(3):237–243PubMedCrossRef Votta E, Manion I (2004) Suicide, high-risk behaviors, and coping style in homeless adolescent males’ adjustment. J Adolesc Health 34(3):237–243PubMedCrossRef
72.
Zurück zum Zitat Lorant V, Kunst AE, Huisman M, Costa G, Mackenbach J (2005) Socio-economic inequalities in suicide: a European comparative study. Br J Psychiatry 187(1):49–54PubMedCrossRef Lorant V, Kunst AE, Huisman M, Costa G, Mackenbach J (2005) Socio-economic inequalities in suicide: a European comparative study. Br J Psychiatry 187(1):49–54PubMedCrossRef
73.
Zurück zum Zitat van Heeringen K (2012) Stress-diathesis model of suicidal behavior. Neurobiol Basis Suicide 51:113 van Heeringen K (2012) Stress-diathesis model of suicidal behavior. Neurobiol Basis Suicide 51:113
74.
Zurück zum Zitat Baldry E, McDonnell D, Maplestone P, Peeters M (2006) Ex-prisoners, homelessness and the state in Australia. Aust N Z J Criminol 39(1):20–33CrossRef Baldry E, McDonnell D, Maplestone P, Peeters M (2006) Ex-prisoners, homelessness and the state in Australia. Aust N Z J Criminol 39(1):20–33CrossRef
75.
Zurück zum Zitat Thomas E, Spittal M, Heffernan E, Taxman F, Alati R, Kinner S (2016) Trajectories of psychological distress after prison release: implications for mental health service need in ex-prisoners. Psychol Med 46(3):611PubMedCrossRef Thomas E, Spittal M, Heffernan E, Taxman F, Alati R, Kinner S (2016) Trajectories of psychological distress after prison release: implications for mental health service need in ex-prisoners. Psychol Med 46(3):611PubMedCrossRef
77.
Zurück zum Zitat Quinn C, Byng R, Shenton D, Smart C, Michie S, Stewart A, Taylor R, Maguire M, Harris T, Shaw J (2018) The feasibility of following up prisoners, with mental health problems, after release: a pilot trial employing an innovative system, for engagement and retention in research, with a harder-to-engage population. Trials 19(1):1–11CrossRef Quinn C, Byng R, Shenton D, Smart C, Michie S, Stewart A, Taylor R, Maguire M, Harris T, Shaw J (2018) The feasibility of following up prisoners, with mental health problems, after release: a pilot trial employing an innovative system, for engagement and retention in research, with a harder-to-engage population. Trials 19(1):1–11CrossRef
78.
Zurück zum Zitat Hopkin G, Evans-Lacko S, Forrester A, Shaw J, Thornicroft G (2018) Interventions at the transition from prison to the community for prisoners with mental illness: a systematic review. Administration Policy Mental Health Mental Health Services Res 45(4):623–634CrossRef Hopkin G, Evans-Lacko S, Forrester A, Shaw J, Thornicroft G (2018) Interventions at the transition from prison to the community for prisoners with mental illness: a systematic review. Administration Policy Mental Health Mental Health Services Res 45(4):623–634CrossRef
79.
Zurück zum Zitat Pratt D, Appleby L, Piper M, Webb R, Shaw J (2010) Suicide in recently released prisoners: a case-control study. Psychol Med 40(5):827PubMedCrossRef Pratt D, Appleby L, Piper M, Webb R, Shaw J (2010) Suicide in recently released prisoners: a case-control study. Psychol Med 40(5):827PubMedCrossRef
80.
Zurück zum Zitat Bukten A, Skjærvø I, Stavseth MR (2022) The association of prison security level with mortality after release from prison: a retrospective national cohort study (2000–16). Lancet Public Health 7(7):e583–e592PubMedCrossRef Bukten A, Skjærvø I, Stavseth MR (2022) The association of prison security level with mortality after release from prison: a retrospective national cohort study (2000–16). Lancet Public Health 7(7):e583–e592PubMedCrossRef
81.
Zurück zum Zitat Fries L, Fedock G, Kubiak SP (2014) Role of gender, substance use, and serious mental illness in anticipated postjail homelessness. Social Work Res 38(2):107–116CrossRef Fries L, Fedock G, Kubiak SP (2014) Role of gender, substance use, and serious mental illness in anticipated postjail homelessness. Social Work Res 38(2):107–116CrossRef
82.
Zurück zum Zitat AIHW (2018) The health of Australia’s prisoners. Canberra AIHW (2018) The health of Australia’s prisoners. Canberra
84.
Zurück zum Zitat Borges G, Walters EE, Kessler RC (2000) Associations of substance use, abuse, and dependence with subsequent suicidal behavior. Am J Epidemiol 151(8):781–789PubMedCrossRef Borges G, Walters EE, Kessler RC (2000) Associations of substance use, abuse, and dependence with subsequent suicidal behavior. Am J Epidemiol 151(8):781–789PubMedCrossRef
85.
Zurück zum Zitat Australian Institute of Health and Welfare (2019) The health of Australia’s females. AIHW, Canberra Australian Institute of Health and Welfare (2019) The health of Australia’s females. AIHW, Canberra
86.
Zurück zum Zitat Grella CE, Lovinger K, Warda US (2013) Relationships among trauma exposure, familial characteristics, and PTSD: a case-control study of women in prison and in the general population. Women Crim Just 23(1):63–79CrossRef Grella CE, Lovinger K, Warda US (2013) Relationships among trauma exposure, familial characteristics, and PTSD: a case-control study of women in prison and in the general population. Women Crim Just 23(1):63–79CrossRef
87.
Zurück zum Zitat Bloom B, Owen B, Covington S (2004) Women offenders and the gendered effects of public policy. Rev Policy Res 21(1):31–48CrossRef Bloom B, Owen B, Covington S (2004) Women offenders and the gendered effects of public policy. Rev Policy Res 21(1):31–48CrossRef
88.
Zurück zum Zitat Moloney KP, van den Bergh BJ, Moller LF (2009) Women in prison: the central issues of gender characteristics and trauma history. Public Health 123(6):426–430PubMedCrossRef Moloney KP, van den Bergh BJ, Moller LF (2009) Women in prison: the central issues of gender characteristics and trauma history. Public Health 123(6):426–430PubMedCrossRef
89.
Zurück zum Zitat Wakefield S, Wildeman C (2013) Children of the prison boom: Mass incarceration and the future of American inequality. Oxford University Press Wakefield S, Wildeman C (2013) Children of the prison boom: Mass incarceration and the future of American inequality. Oxford University Press
90.
Zurück zum Zitat US Department of Justice (2008) Parents in Prison and Their Minor Children. Office of Justice Programs, Bureau of Justice Statistics US Department of Justice (2008) Parents in Prison and Their Minor Children. Office of Justice Programs, Bureau of Justice Statistics
91.
Zurück zum Zitat Saxena P, Messina NP, Grella CE (2014) Who benefits from gender-responsive treatment? Accounting for abuse history on longitudinal outcomes for women in prison. Crim Justice Behav 41(4):417–432PubMedPubMedCentralCrossRef Saxena P, Messina NP, Grella CE (2014) Who benefits from gender-responsive treatment? Accounting for abuse history on longitudinal outcomes for women in prison. Crim Justice Behav 41(4):417–432PubMedPubMedCentralCrossRef
92.
Zurück zum Zitat Gulliver P, Fanslow J (2013) Exploring risk factors for suicidal ideation in a population-based sample of New Zealand women who have experienced intimate partner violence. Aust N Z J Public Health 37(6):527–533PubMedCrossRef Gulliver P, Fanslow J (2013) Exploring risk factors for suicidal ideation in a population-based sample of New Zealand women who have experienced intimate partner violence. Aust N Z J Public Health 37(6):527–533PubMedCrossRef
93.
Zurück zum Zitat Brown S, Seals J (2019) Intimate partner problems and suicide: are we missing the violence? J Injury Violence Res 11(1):53 Brown S, Seals J (2019) Intimate partner problems and suicide: are we missing the violence? J Injury Violence Res 11(1):53
94.
Zurück zum Zitat Soloff PH, Lynch KG, Kelly TM (2002) Childhood abuse as a risk factor for suicidal behavior in borderline personality disorder. J Pers Disord 16(3):201–214PubMedCrossRef Soloff PH, Lynch KG, Kelly TM (2002) Childhood abuse as a risk factor for suicidal behavior in borderline personality disorder. J Pers Disord 16(3):201–214PubMedCrossRef
95.
Zurück zum Zitat Evans E, Hawton K, Rodham K (2005) Suicidal phenomena and abuse in adolescents: a review of epidemiological studies. Child Abuse Negl 29(1):45–58PubMedCrossRef Evans E, Hawton K, Rodham K (2005) Suicidal phenomena and abuse in adolescents: a review of epidemiological studies. Child Abuse Negl 29(1):45–58PubMedCrossRef
96.
Zurück zum Zitat Stone U, Liddell M, Martinovic M (2017) Incarcerated mothers: Issues and barriers for regaining custody of children. Prison J 97(3):296–317CrossRef Stone U, Liddell M, Martinovic M (2017) Incarcerated mothers: Issues and barriers for regaining custody of children. Prison J 97(3):296–317CrossRef
97.
Zurück zum Zitat Wall-Wieler E, Roos LL, Nickel NC, Chateau D, Brownell M (2018) Mortality among mothers whose children were taken into care by child protection services: a discordant sibling analysis. Am J Epidemiol 187(6):1182–1188PubMedCrossRef Wall-Wieler E, Roos LL, Nickel NC, Chateau D, Brownell M (2018) Mortality among mothers whose children were taken into care by child protection services: a discordant sibling analysis. Am J Epidemiol 187(6):1182–1188PubMedCrossRef
98.
Zurück zum Zitat Dowell CM, Mejia GC, Preen DB, Segal L (2018) Maternal incarceration, child protection, and infant mortality: a descriptive study of infant children of women prisoners in Western Australia. Health & justice 6(1):1–12CrossRef Dowell CM, Mejia GC, Preen DB, Segal L (2018) Maternal incarceration, child protection, and infant mortality: a descriptive study of infant children of women prisoners in Western Australia. Health & justice 6(1):1–12CrossRef
99.
Zurück zum Zitat Thompson MP, Kaslow NJ, Kingree JB (2002) Risk factors for suicide attempts among African American women experiencing recent intimate partner violence. Violence Vict 17(3):283–295PubMedCrossRef Thompson MP, Kaslow NJ, Kingree JB (2002) Risk factors for suicide attempts among African American women experiencing recent intimate partner violence. Violence Vict 17(3):283–295PubMedCrossRef
100.
Zurück zum Zitat Clapperton A, Newstead S, Bugeja L, Pirkis J (2019) Relative risk of suicide following exposure to recent stressors, Victoria, Australia. Aust N Z J Public Health 43(3):254–260PubMedCrossRef Clapperton A, Newstead S, Bugeja L, Pirkis J (2019) Relative risk of suicide following exposure to recent stressors, Victoria, Australia. Aust N Z J Public Health 43(3):254–260PubMedCrossRef
101.
Zurück zum Zitat Baldry E (2011) Women in transition: from prison to. Curr Issues Crim Just 3:253 Baldry E (2011) Women in transition: from prison to. Curr Issues Crim Just 3:253
102.
Zurück zum Zitat Trotter C, Sheehan R (2017) Women’s transitions from prison: the post-release experience. Routledge Trotter C, Sheehan R (2017) Women’s transitions from prison: the post-release experience. Routledge
103.
Zurück zum Zitat Carter A, Butler A, Willoughby M, Janca E, Kinner SA, Southalan L, Fazel S, Borschmann R (2022) Interventions to reduce suicidal thoughts and behaviours among people in contact with the criminal justice system: A global systematic review. EClinicalMedicine 44:101266PubMedPubMedCentralCrossRef Carter A, Butler A, Willoughby M, Janca E, Kinner SA, Southalan L, Fazel S, Borschmann R (2022) Interventions to reduce suicidal thoughts and behaviours among people in contact with the criminal justice system: A global systematic review. EClinicalMedicine 44:101266PubMedPubMedCentralCrossRef
104.
Zurück zum Zitat Winicov N (2019) A systematic review of behavioral health interventions for suicidal and self-harming individuals in prisons and jails. Heliyon 5(9):e02379PubMedPubMedCentralCrossRef Winicov N (2019) A systematic review of behavioral health interventions for suicidal and self-harming individuals in prisons and jails. Heliyon 5(9):e02379PubMedPubMedCentralCrossRef
105.
Zurück zum Zitat Borschmann R, Janca E, Carter A, Willoughby M, Hughes N, Snow K, Stockings E, Hill NT, Hocking J, Love A (2020) The health of adolescents in detention: a global scoping review. Lancet Public Health 5(2):e114–e126PubMedPubMedCentralCrossRef Borschmann R, Janca E, Carter A, Willoughby M, Hughes N, Snow K, Stockings E, Hill NT, Hocking J, Love A (2020) The health of adolescents in detention: a global scoping review. Lancet Public Health 5(2):e114–e126PubMedPubMedCentralCrossRef
106.
Zurück zum Zitat Humber N, Hayes A, Senior J, Fahy T, Shaw J (2011) Identifying, monitoring and managing prisoners at risk of self-harm/suicide in England and Wales. J Forensic Psychiatry Psychol 22(1):22–51CrossRef Humber N, Hayes A, Senior J, Fahy T, Shaw J (2011) Identifying, monitoring and managing prisoners at risk of self-harm/suicide in England and Wales. J Forensic Psychiatry Psychol 22(1):22–51CrossRef
107.
Zurück zum Zitat Schmucker CM, Blümle A, Schell LK, Schwarzer G, Oeller P, Cabrera L, von Elm E, Briel M, Meerpohl JJ, Consortium O (2017) Systematic review finds that study data not published in full text articles have unclear impact on meta-analyses results in medical research. PloS One 12 (4):e0176210 Schmucker CM, Blümle A, Schell LK, Schwarzer G, Oeller P, Cabrera L, von Elm E, Briel M, Meerpohl JJ, Consortium O (2017) Systematic review finds that study data not published in full text articles have unclear impact on meta-analyses results in medical research. PloS One 12 (4):e0176210
108.
Zurück zum Zitat Nussbaumer-Streit B, Klerings I, Dobrescu A, Persad E, Stevens A, Garritty C, Kamel C, Affengruber L, King V, Gartlehner G (2020) Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study. J Clin Epidemiol 118:42–54PubMedCrossRef Nussbaumer-Streit B, Klerings I, Dobrescu A, Persad E, Stevens A, Garritty C, Kamel C, Affengruber L, King V, Gartlehner G (2020) Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study. J Clin Epidemiol 118:42–54PubMedCrossRef
109.
Zurück zum Zitat Morrison A, Polisena J, Husereau D, Moulton K, Clark M, Fiander M, Mierzwinski-Urban M, Clifford T, Hutton B, Rabb D (2012) The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care 28(2):138PubMedCrossRef Morrison A, Polisena J, Husereau D, Moulton K, Clark M, Fiander M, Mierzwinski-Urban M, Clifford T, Hutton B, Rabb D (2012) The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care 28(2):138PubMedCrossRef
110.
Zurück zum Zitat Brömdal A, Clark KA, Hughto JM, Debattista J, Phillips TM, Mullens AB, Gow J, Daken K (2019) Whole-incarceration-setting approaches to supporting and upholding the rights and health of incarcerated transgender people. Taylor & FrancisCrossRef Brömdal A, Clark KA, Hughto JM, Debattista J, Phillips TM, Mullens AB, Gow J, Daken K (2019) Whole-incarceration-setting approaches to supporting and upholding the rights and health of incarcerated transgender people. Taylor & FrancisCrossRef
Metadaten
Titel
Sex differences in suicide, suicidal ideation, and self-harm after release from incarceration: a systematic review and meta-analysis
verfasst von
Emilia Janca
Claire Keen
Melissa Willoughby
Rohan Borschmann
Georgina Sutherland
Sohee Kwon
Stuart A. Kinner
Publikationsdatum
03.12.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Social Psychiatry and Psychiatric Epidemiology / Ausgabe 3/2023
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-022-02390-z

Weitere Artikel der Ausgabe 3/2023

Social Psychiatry and Psychiatric Epidemiology 3/2023 Zur Ausgabe

Hörschwäche erhöht Demenzrisiko unabhängig von Beta-Amyloid

29.05.2024 Hörstörungen Nachrichten

Hört jemand im Alter schlecht, nimmt das Hirn- und Hippocampusvolumen besonders schnell ab, was auch mit einem beschleunigten kognitiven Abbau einhergeht. Und diese Prozesse scheinen sich unabhängig von der Amyloidablagerung zu ereignen.

So wirken verschiedene Alkoholika auf den Blutdruck

23.05.2024 Störungen durch Alkohol Nachrichten

Je mehr Alkohol Menschen pro Woche trinken, desto mehr steigt ihr Blutdruck, legen Daten aus Dänemark nahe. Ob es dabei auch auf die Art des Alkohols ankommt, wurde ebenfalls untersucht.

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

ADHS-Medikation erhöht das kardiovaskuläre Risiko

16.05.2024 Herzinsuffizienz Nachrichten

Erwachsene, die Medikamente gegen das Aufmerksamkeitsdefizit-Hyperaktivitätssyndrom einnehmen, laufen offenbar erhöhte Gefahr, an Herzschwäche zu erkranken oder einen Schlaganfall zu erleiden. Es scheint eine Dosis-Wirkungs-Beziehung zu bestehen.

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.