Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-26T05:14:25.612Z Has data issue: false hasContentIssue false

Maternal incarceration increases the risk of self-harm but not suicide: a matched cohort study

Published online by Cambridge University Press:  10 May 2023

Craig Cumming*
Affiliation:
School of Population and Global Health, The University of Western Australia, Crawley, Australia
Megan F. Bell
Affiliation:
School of Population and Global Health, The University of Western Australia, Crawley, Australia
Leonie Segal
Affiliation:
Australian Centre for Precision Health, University of South Australia, Adelaide, Australia
Matthew J. Spittal
Affiliation:
Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
Stuart A. Kinner
Affiliation:
Centre for Adolescent Health, Murdoch Children’s Research Institute, Melbourne, Australia Justice Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia Griffith Criminology Institute, Griffith University, Brisbane, Australia School of Population Health, Curtin University, Perth, Australia
Susan Dennison
Affiliation:
Griffith Criminology Institute, Griffith University, Brisbane, Australia School of Criminology and Criminal Justice, Griffith University, Brisbane, Australia
Sharon Dawe
Affiliation:
School of Applied Psychology, Griffith University, Brisbane, Australia The Hopkins Centre, Griffith University, Brisbane, Australia
David B. Preen
Affiliation:
School of Population and Global Health, The University of Western Australia, Crawley, Australia
*
Corresponding author: Craig Cumming; Email: craig.cumming@uwa.edu.au
Rights & Permissions [Opens in a new window]

Abstract

Aims

Children of incarcerated mothers are at increased risk of experiencing multiple adversity such as poverty, mental illness and contact with child protection services (CPS), including being taken into out of home care (OOHC). However, little is known about whether these children are at increased risk of suicide or self-harm compared to children not exposed to maternal incarceration or about the factors that may contribute to this. We aimed to investigate differences in the risk of suicide and self-harm between children exposed to maternal incarceration and those not exposed and examine how socio-demographic factors, maternal mental illness and CPS contact (with or without OOHC) may affect these outcomes.

Methods

We used a retrospective matched cohort study design, comparing 7674 children exposed to maternal incarceration with 7674 non-exposed children. We used multivariable Cox proportional hazards regression to compare the risk of suicide and self-harm between exposed and non-exposed groups, controlling for geographical remoteness, CPS contact and maternal mental illness.

Results

There was no significant difference in the rate of suicide (rate ratio [RR] = 1.49; 95% confidence interval [CI]: 0.78, 2.87) or risk of suicide (adjusted hazard ratio [aHR] = 0.92; 95% CI: 0.43, 1.96) between the two groups. However, the exposed group had a significantly higher rate of self-harm (RR = 2.83; 95% CI: 2.50, 3.21) and a significantly higher risk of self-harm (aHR = 1.74; 95% CI: 1.45, 2.09) compared to those non-exposed. CPS contact with or without OOHC was independently associated with an increased risk of self-harm for both groups.

Conclusion

Children exposed to maternal incarceration are at an increased risk of self-harm and should be prioritized to receive targeted, multimodal support that continues after the mother’s release from prison. The association between CPS contact and self-harm warrants further research.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.

Introduction

People who experience incarceration are exposed to multiple adversities, including high rates of health and social problems such as mental illness, substance use disorders (Abbott et al., Reference Abbott, Magin and Hu2016; Fazel and Seewald, Reference Fazel and Seewald2012), poverty and a history of child maltreatment and domestic violence (Friestad et al., Reference Friestad, Åse-Bente and Kjelsberg2014; Wilson et al., Reference Wilson, Jones, Butler, Simpson, Gilles, Baldry, Levy and Sullivan2017). The prevalence of these adversities is particularly high among incarcerated women (Bartlett and Hollins, Reference Bartlett and Hollins2018). There is growing evidence that the stressors associated with incarceration not only directly impact the individual incarcerated but also directly and/or indirectly impact other family members, including children (Lee et al., Reference Lee, Wildeman, Wang, Matusko and Jackson2014; Turney, Reference Turney2014; Wildeman et al., Reference Wildeman, Schnittker and Turney2012). These stressors are not confined to periods of incarceration. Children’s exposure to illegal or anti-social behaviour, including domestic violence, that occur around periods of parental incarceration (characterized as “packages” of risk [Giordano and Copp, Reference Giordano and Copp2015]) often contributes to intergenerational transmission of an increased risk of contact with the criminal justice system and social disadvantage for these children (Giordano et al., Reference Giordano, Copp, Manning and Longmore2019). The available evidence suggests that children of incarcerated parents are at an increased risk of mental illness (Lee et al., Reference Lee, Fang and Luo2013; Turney, Reference Turney2014), physical health problems (Lee et al., Reference Lee, Fang and Luo2013), preventable mortality (Dowell et al., Reference Dowell, Mejia, Preen and Segal2018; Wildeman, Reference Wildeman2012; Wildeman et al., Reference Wildeman, Andersen, Lee and Karlson2014a), placement into out of home care (OOHC) (Whitten et al., Reference Whitten, Dean, Li, Laurens, Harris, Carr and Green2021) and developmental issues such as learning disabilities, speech or other language problems, emotional vulnerability and behavioural or conduct problems (Bell et al., Reference Bell, Bayliss, Glauert and Ohan2018; Laurens et al., Reference Laurens, Tzoumakis, Kariuki, Green, Hamde, Harris, Carr and Dean2017; Wildeman and Turney, Reference Wildeman and Turney2014b). Additionally, there is a need for more evidence in relation to suicide events, with emerging evidence of an increased risk of suicide attempts, suicidal ideation and self-harming behaviours for children of parents with a history of contact with the justice system (Davis and Shlafer, Reference Davis and Shlafer2017; O’hare et al., Reference O’hare, Watkeys, Whitten, Dean, Laurens, Harris, Carr and Green2022).

The gap in the research investigating the relationship between maternal incarceration and children’s rates of suicide and self-harm requiring hospital treatment warrants further investigation of these important outcomes. Recent estimates suggest that 54% of women entering prison in Australia have dependent children (Australian Institute of Health and Welfare, 2019). Children of incarcerated mothers have higher rates of child protection service (CPS) contact (Dowell et al., Reference Dowell, Mejia, Preen and Segal2018) and are more likely than other children to have a mother with mental illness (Burgess and Flynn, Reference Burgess and Flynn2022; Fazel et al., Reference Fazel, Hayes, Bartellas, Clerici and Trestman2016). Both CPS contact and maternal mental illness are associated with an increased risk of offspring suicide and self-harm, and the risks for these exposures are increased by maternal incarceration (Hu et al., Reference Hu, Taylor, Li and Glauert2017; Murray et al., Reference Murray, Lacey, Maughan and Sacker2020). Incarceration rates for women have been increasing in recent years, both internationally (Walmsley Reference Walmsley2018) and in Australia (Australian Bureau of Statistics, 2020). Parental incarceration is considered a key adverse childhood event (ACE) (Centers for Disease Control and Prevention, 2022; Metzler et al., Reference Metzler, Merrick, Klevens, Ports and Ford2017), with ACEs long considered a crucial public health issue (Felitti et al., Reference Felitti, Anda, Nordenberg, Williamson, Spitz, Edwards and Marks1998; Foege, Reference Foege1998; Grimes Reference Grimes2017). Given that incarcerated mothers are more likely than incarcerated fathers to be the primary or sole caregiver to their children (Covington Reference Covington2016; Glaze and Maruschak, Reference Glaze and Maruschak2008), maternal incarceration is an increasingly important public health issue that may have serious consequences for the well-being of their children. With suicide rates among 15–24 year olds in Australia increasing by 32% between 2010 and 2020 and with suicide the leading cause of death in this age group (Australian Institute of Health and Welfare, 2021), this issue has high policy relevance.

This study uses linked administrative data on children exposed to maternal incarceration and a non-exposed, matched comparison group to investigate the relationship between exposure to maternal incarceration and the risk of completed suicide and self-harm resulting in hospital service use. We aimed to (1) compare the rates of suicide and self-harm in children exposed to maternal incarceration and a matched comparison group; (2) investigate the role that related risk factors including CPS contact, maternal mental illness and living in a geographically remote location may play in the relationship between maternal incarceration and suicide or self-harm events; (3) investigate how suicide and self-harm rates change as individuals with and without a history of exposure to maternal incarceration move through different age groups (10–14, 15–19 and 20–28 years) to inform policymakers and practitioners when individuals may be most in need of targeted support or treatment.

Methods

Study design

This is a retrospective matched cohort study utilizing linked administrative justice, health and CPS data to compare the rates and risk of suicide and self-harm between individuals who were exposed to maternal incarceration prior to their 18th birthday and a non-exposed comparison group.

Participants

The participants in this study were selected from a sample of children born in Western Australia (WA) between January 1, 1985, and December 31, 2011. Administrative records from the WA Department of Justice and Midwives Notification System (MNS) data collections were used to define the sampling frame for selecting participants. Our initial maternal incarceration-exposed and non-exposed groups contained 9,643 and 22,716 participants, respectively. The inclusion criteria for participants to be included in the exposed group were that they reached at least 10 years of age before the end of the study period and that they had to have a biological mother who was incarcerated at least once between conception (defined as 9 months prior to the child’s month of birth) and the month of their 18th birthday. Participants in the non-exposed comparison group also had to reach at least 10 years of age during follow-up and have a biological mother with no record of incarceration. Our outcomes of interest were death by suicide and hospital-treated self-harm in the child, occurring at age 10 or older. This is commonly used as the starting age in the existing literature for these outcomes (Ballesteros et al., Reference Ballesteros, Williams, Mack, Simon and Sleet2018; Morgan et al., Reference Morgan, Webb, Carr, Kontopantelis, Green, Chew-Graham, Kapur and Ashcroft2017), with evidence suggesting that suicide plans and attempts most frequently begin to emerge from age 10 onwards (Thompson et al., Reference Thompson, Dewa and Phare2012). After restricting the study to children who had reached at least 10 years of age during the study period, there were 7,674 children in the group exposed to maternal incarceration. These children were randomly matched 1:1 with children from the non-exposed group on sex, year of birth and Aboriginal status using the “ccmatch” function in Stata (StataCorp, 2019) as has been done elsewhere (Cook, Reference Cook2015; Raj et al., Reference Raj, Kaprio, Korja, Mikkonen, Jousilahti and Siironen2017). The non-exposed group included children whose mothers had no record of contact with the WA Department of Justice.

Follow-up and observed outcomes

As we had month and year of birth rather than exact date of birth data for children, we used the 15th day of the month the child was born in as a pseudo “date of birth” for the purposes of analysis. Suicide and self-harm events were observed during the follow-up period, which commenced from the date the child turned 10 until death or the right censoring date, December 31, 2013.

Data

The data for this study were linked through the WA Data Linkage System, using probabilistic matching and clerical review (Holman et al., Reference Holman, Bass, Rouse and Hobbs1999). A list of all datasets, left and right censoring dates and which groups (exposed children, non-exposed children and mothers) the data pertained to is included in Table 1.

Table 1. Datasets included in the study

Demographic data

Demographic data recorded at birth included month and year of birth, child sex and geographic remoteness of the child’s home address (using the Accessibility/Remoteness Index of Australia [Hugo Centre for Population and Housing, 2020]) and were obtained from the MNS and Registry of Births Deaths and Marriages.

Additional exposures

Maternal mental illness

Hospital Morbidity Data System (HMDS), Emergency Department Data Collection (EDDC) and Mental Health Information System data for mothers were used to ascertain maternal diagnoses of mental illness during the study period, using International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM) (Medicode (Firm), 1996) codes 290–316 and International Classification of Disease, 10th revision, Australian Modification (ICD-10-AM) (National Centre for Classification in Health, 2004) codes F00–F99. Maternal mental illness was defined by any primary or additional diagnosis of mental illness in any of these datasets that occurred between the child’s conception and their 18th birthday. Using these data, a binary maternal mental illness exposure variable (yes/no) and a variable for the child’s age of incident exposure were created for each child.

Child protection service contacts

CPS data included notifications of a child abuse or neglect concern report made during the study period up until the child’s 18th birthday. Data included dates for all records, whether the notification was investigated, whether the investigation was completed, the outcome of the investigation and any action taken, which could include removal from the birth family into OOHC.

Outcomes

Suicide

Date and cause of death were obtained from the WA Death Registrations dataset for participants who died during the study period. Suicides were identified in death data using ICD-9-CM codes E950–E959 for deaths up until June 1999 and ICD-10-AM codes X60–X84 for deaths from July 1999 to December 31, 2013.

Hospital-treated self-harm

Incidents of self-harm were ascertained from hospital admission and emergency department (ED) presentation data. HMDS data were obtained for the period 1985–2013 and included the dates of admission and separation from hospital as well as primary and contributory diagnoses (up to 20) and external causes (up to 4) for all inpatient episodes. EDDC data were extracted for the period 2002–2013 and included the presentation date, primary diagnosis, a single external cause and a “human intent of injury” variable that indicated whether, in the treating clinician’s opinion, an injury or poisoning was self-inflicted (Department of Health, 2020). All primary and contributory diagnoses and external causes were coded using ICD-9-CM (up until June 1999) and ICD-10-AM (from July 1999 onwards) codes. The same ICD codes used to identify suicide were used to identify hospital admissions for self-harm. An EDDC record was coded as self-harm if indicated by either one of the selected ICD codes or the human intent of injury variable.

Statistical analysis

Median follow-up time was calculated for the exposed and non-exposed groups, then compared using a non-parametric k-sample equality-of-medians test. All socio-demographic data were binary variables except geographic remoteness, which used an ordinal scale and was recoded as a binary variable (metropolitan/inner regional versus outer regional/remote/very remote) for our analysis. Descriptive statistics were used to report socio-demographic and exposure characteristics (sex, Aboriginal status, geographic remoteness, CPS contact and exposure to maternal mental illness). Crude comparisons between groups were performed using chi-square tests for socio-demographic variables, CPS contact and maternal mental illness.

To achieve our first two aims, we used univariate and multiple Cox proportional hazards regression (Royston and Parmar, Reference Royston and Parmar2002) to analyse suicide (single event) and self-harm (repeated events, using an Andersen–Gill model [Andersen and Gill, Reference Andersen and Gill1982]) events and compare the unadjusted and adjusted risk, respectively, of suicide and self-harm occurring for the exposed and non-exposed groups. The multiple regression models for each outcome included our primary exposure (maternal incarceration), geographical remoteness, CPS contact and maternal mental illness as covariates.

To take into account the fact that some incident exposures occurred after the commencement of follow-up, we coded maternal incarceration, maternal mental illness and CPS contact as time-varying variables. For each child, we ascertained exposure to maternal incarceration from 9 months before birth (conception, calculated as −0.75 years of age) to 18 years of age. We coded this variable so that exposure status could vary after the start of follow-up. All participants exposed prior to the age of 10 were classified as exposed during follow-up, those who were exposed between the ages of 10 and 18 were classified as non-exposed at the start of follow-up and had their observations split at the time of incident exposure to maternal incarceration to reflect this change. We followed exactly the same procedure for exposure to maternal mental illness. We followed a similar procedure for CPS contact, which we recoded as a three-level ordinal variable: (1) no CPS contact (the reference group); (2) CPS contact without OOHC or (3) CPS contact with OOHC. Participants were assigned the highest level of CPS contact exposure they had experienced prior to the start of follow-up at age 10 and had their level of exposure changed during follow-up if they experienced a higher level of exposure at any time before the age of 18 during follow-up. It was possible for participants to have their CPS contact status change up to two times during follow-up if they had no prior CPS contact at the commencement of follow-up.

To achieve our third aim to investigate age-specific rates of events occurring without prior maternal incarceration exposure (non-exposed) and after maternal incarceration exposure (exposed), we calculated suicide incidence rates and self-harm event rates, stratified by three age groups: 10–14, 15–19 and 20–28 years. All analyses were performed using Stata version 16 (Statacorp, 2019).

Ethics approval for this project was granted by the WA Department of Health Human Research Ethics Committee (2013/72), The University of Western Australia Human Research Ethics Committee (RA/4/1/8111), the West Australian Aboriginal Health Ethics Committee (543) and the University of South Australia Human Research Ethics Committee (0000032609).

Results

Of the 15,348 participants in the study (7,674 in each group) 7,466 (49%) were female and 9,724 (63%) were Aboriginal (Table 2). Total follow-up time was 142,410 person-years; median follow-up time was 9.2 years (IQR: 4.9–13.5) across all participants and did not differ significantly between the exposed and non-exposed groups (P = 0.923). There was a significant difference in CPS contact between the exposed and non-exposed groups. The exposed group was more than 13 times more likely than the non-exposed group to have had CPS contact with OOHC (27% vs. 2%, P < 0.001) and almost three times more likely to have CPS contact without OOHC (29% vs. 10%, P < 0.001). The exposed group was also almost three times more likely than the non-exposed group to have a mother who received healthcare for a mental illness (62% vs. 22%, P < 0.001).

Table 2. Participant characteristics for children exposed and non-exposed to maternal incarceration between conception and 18 years of age

Chi-squared analysis used to compare groups except for

* k-sample equality-of-medians test.

CPS: child protection services; OOHC: out of home care; IQR: interquartile range.

Across the total sample, there were 43 deaths from suicide at a rate of 30.2 per 100,000 person-years, with no significant difference in rate between the exposed and non-exposed groups (Table 3). Small cell counts meant that we were unable to report age-specific suicide counts and rates due to data confidentiality. In our unadjusted Cox regression analysis, none of the covariates were significantly associated with an increased risk of suicide, and no covariates were significantly associated with suicide in our adjusted analysis (Table 4).

Table 3. Suicide and self-harm counts and rates per 100,000 person-years, stratified by prior exposure to maternal incarceration and age group (for self-harm only)

Table 4. Unadjusted and adjusted Cox proportional hazards regression for suicide events

CPS: child protection services; OOHC: out of home care.

There were 1209 hospital or ED-treated self-harm events during the study period, at an overall rate of 849.0 events per 100,000 person-years (Table 3). Overall, the exposed group (n = 854 self-harm events) had a higher rate of self-harm than the non-exposed group (n = 355 self-harm events, rate ratio [RR] = 2.83; 95% confidence interval [CI]: 2.50, 3.21). Among the age-specific self-harm rates (Fig. 1), the 20–28 years group had the highest rate overall at 1899.9 per 100,000 person-years. However, the biggest difference between those exposed and those not exposed to maternal incarceration was in the 10–14 years group, in which the rate of self-harm was significantly higher in the exposed group (RR = 3.90; 95% CI: 2.70, 5.73).

Figure 1. Age-specific self-harm rates for participants previously exposed and non-exposed to maternal incarceration.

Our unadjusted Andersen–Gill Cox regression analyses showed that being exposed to maternal incarceration (HR = 2.84; 95% CI: 2.45, 3.29), having CPS contact without OOHC (HR = 4.02; 95% CI: 3.01, 5.35), having CPS contact with OOHC (HR = 5.99; 95% CI: 4.34, 8.26) and having a mother with a diagnosed mental illness (HR = 2.62; 95% CI: 2.15, 3.18) were all crudely associated with an increased risk of self-harm (Table 5). Conversely, being from an outer regional/remote/very remote area was negatively associated with self-harm (HR = 0.44; 95% CI: 0.36, 0.54). The results of our multivariable Andersen–Gill Cox regression analysis showed that after adjusting for covariates, the exposed group were at just under a 1.75 times higher risk of self-harm compared to the non-exposed group (adjusted hazard ratio [aHR] = 1.74; 95% CI: 1.45, 2.09) and that CPS contact without OOHC (aHR = 2.93; 95% CI: 2.16, 3.98) and CPS contact with OOHC (aHR = 3.06; 95% CI: 2.13, 4.37) were both independently associated with an increased risk of self-harm (Table 5).

Table 5. Unadjusted and adjusted Andersen–Gill Cox proportional hazards regression for self-harm events

CPS: child protection services; OOHC: out of home care.

Discussion

This is the first study, of which we are aware, investigating both the relationship between experiencing maternal incarceration during childhood and rates and risk of suicide events and self-harm requiring treatment in hospital. We found that exposure to maternal incarceration during childhood was not associated with a higher risk of suicide; however, it was associated with a higher risk of self-harm, even after adjusting for maternal mental illness, CPS contact and remoteness. We also found evidence of an independent association between CPS contact and self-harm.

Our findings are consistent with previous research establishing a clear association between maternal incarceration and CPS contact (often resulting in OOHC) (Dowell et al., Reference Dowell, Mejia, Preen and Segal2018), high rates of mental illness experienced by mothers with a history of incarceration (Stanton and Rose, Reference Stanton and Rose2020) and a strong independent association between CPS contact and self-harm (Gnanamanickam et al., Reference Gnanamanickam, Nguyen, Armfield, Doidge, Brown, Preen and Segal2022; Leckning et al., Reference Leckning, He, Condon, Hirvonen, Milroy and Guthridge2021). Our findings are also broadly comparable to evidence of higher rates of self-harm in children of parents with criminal convictions (O’hare et al., Reference O’hare, Watkeys, Whitten, Dean, Laurens, Harris, Carr and Green2022). Our finding that there is a general increase in the rates of self-harm as people move through adolescence into adulthood is broadly consistent with Australian data from the general population covering a similar time period (Australian Institute of Health and Welfare, 2022b). However, our finding that the biggest difference in rates of self-harm between children exposed and non-exposed to maternal incarceration occurs during 10–14 years of age is novel and highlights a particularly vulnerable group.

As our study identifies, children exposed to maternal incarceration are a highly vulnerable group at increased risk of self-harm. This risk may continue once an episode of maternal incarceration has ended, as families experience ongoing challenges post-release. As maternal incarceration is a clear marker of severe familial adversity, service systems and structures need to carefully consider the needs of these children and their families. We suggest that ongoing holistic, multimodal and multilevel support for these children that incorporates support for their parents/carers and other family (Eddy et al., Reference Eddy, Kjellstrand, Martinez, Newton, Herrera, Wheeler, Shortt, Schumer, Burraston, Lorber, Eddy and Poehlmann-Tynan2019; Kjellstrand, Reference Kjellstrand2017) is crucial to mitigate the risks these children face. It is also imperative that any policy response is underpinned by trauma-informed, age appropriate and culturally capable practice (especially given the over-representation of Aboriginal people in our sample and in the justice system generally [Australian Bureau of Statistics, 2021]) to reduce ongoing risks that contribute to poor mental health and self-harm for this group. Additionally, consideration should be given to expanding targeted support for children of incarcerated women (such as Shine for Kids in Australia and Person-Shaped Support in the United Kingdom [Dawson et al., Reference Dawson, Brookes, Carter, Larman and Jackson2013]), along with the provision of family-friendly facilities where both mothers and children could meet. Providing this opportunity for mothers and children to maintain their connection in a suitable environment may help to prevent damage to the mother–child bond and foster and strengthen the relationship, benefitting both mother and child. Other possible intervention points to reach children exposed to maternal incarceration include school mental health services, contact with CPS and during ED presentation/hospital admission. To address the continuing risks that may be faced by these vulnerable children, it is crucial that support is initiated at the point of maternal incarceration and continued when a mother leaves prison.

Our results clearly show that children exposed to CPS contact, with or without removal to OOHC, were at considerably increased risk of self-harm, regardless of whether they had experienced maternal incarceration during childhood. Specific OOHC-related risks may flow from the deleterious effects of neglect and child abuse early in childhood (Berens and Nelson, Reference Berens and Nelson2015; Berger et al., Reference Berger, Bruch, Johnson, James and Rubin2009), including high rates of complex and recurrent trauma experienced by children in the care system (Briggs et al., Reference Briggs, Greeson, Layne, Fairbank, Knoverek and Pynoos2012; Collin-Vézina et al., Reference Collin-Vézina, Coleman, Milne, Sell and Daigneault2011; Hanauer, Reference Hanauer2015). For those who had experienced both maternal incarceration and CPS contact, additional factors may include the trauma associated with exposure to parental arrest, disruption to caregiving from the primary caregiver and challenging circumstances related to visiting parents in prison that may damage the mother–child bond (Arditti, Reference Arditti2012; Saunders and McArthur, Reference Saunders and Mcarthur2013). For this group, these numerous, intersecting, often inter-related factors may combine in complex ways to contribute to an increased risk of children exposed to maternal incarceration engaging in self-harming behaviour. Given the high rates of CPS contact with OOHC we observed among children exposed to maternal incarceration, we support previous calls for research into the potential mechanisms for OOHC-related risks such as the quality of OOHC arrangements and the impact that disruptions to multiple aspects of children’s lives has (Berger et al., Reference Berger, Bruch, Johnson, James and Rubin2009). Additionally, further research investigating how patterns of maltreatment and CPS contact may contribute to an increased risk of self-harm is needed to inform targeted intervention and prevention strategies for those most at risk.

Strengths of our study include the use of state-wide administrative data, which meant that we had population-level coverage and were able to investigate the risk of suicide and self-harm in all children and young people exposed to maternal incarceration in WA during the study period. Additionally, the use of linked administrative health and justice records helped to mitigate possible social desirability bias that may arise when relying solely on self or informant (e.g. parent or teacher) reported measures (Cherpitel et al., Reference Cherpitel, Ye, Stockwell, Vallance and Chow2018), particularly for sensitive and often stigmatized outcomes such as justice system involvement, self-harm and mental illness (Borschmann et al., Reference Borschmann, Young, Moran, Spittal, Snow, Mok and Kinner2017). Additionally, being able to include CPS contact and other socio-demographic factors in our analyses enabled the examination of the contribution of these factors to study outcomes. Finally, the use of time-dependent covariates in our model allowed us to mitigate against the risk of immortal time bias and produce robust effect estimates.

One limitation of our study is the limited number of suicides recorded in our data, meaning that we were underpowered and limited in the type of analyses we could perform with respect to suicide. This may explain our finding of no significant difference in risk of suicide between our groups, which contrasts somewhat with previous research finding an association between experiencing parental incarceration and self-reported suicide attempts (Davis & Shlafer, Reference Davis and Shlafer2017). Additionally, the follow-up period for our study ended when our oldest participant was 28, so our participants had not yet entered the age groups where the highest risk of suicide is observed in Australia (typically peaking around 50–54 years of age before sharp increases at around 80 years of age) (Australian Institute of Health and Welfare, 2022a), so it is possible that differences between groups could emerge later on. Future studies with larger samples and/or longer follow-up will be required to examine suicide in this population in greater detail. Another limitation of our study is that our data only capture self-harm events recorded in hospitals and EDs, so will likely be an underestimate of the true rates of self-harm. However, hospital data likely capture the vast majority of medically serious self-harm events. Finally, we did not have data on paternal incarceration and mental illness, which previous research has identified as an important factor in early childhood and psychological development (Whitten et al., Reference Whitten, Burton, Tzoumakis and Dean2019, Reference Whitten, Dean, Li, Laurens, Harris, Carr and Green2021).

Conclusion

Children exposed to maternal incarceration are at a greater risk of self-harm compared to non-exposed children. Contact with CPS, with or without OOHC, was also independently associated with an increased risk of self-harm. Children who experience maternal incarceration should be provided with targeted holistic support that continues after maternal release from prison to reduce their risk of poor mental health and self-harm.

Data availability statement

This study was conducted using linked administrative data relating to individual study participants. These data were provided to the authors by multiple Government Departments subject to strict confidentiality requirements that prevent the authors from making the data publicly available.

Acknowledgements

The findings and views reported in this article are those of the authors and should not be attributed to the governments or departments involved in the research. Any errors of omission or commission are the responsibility of the authors. Thank you to the people of Western Australia for the use of their administrative data in this research. The authors also wish to thank the staff at the Western Australian Data Linkage Branch, the Department of Justice, the Department of Communities and the data custodians of the Hospital Morbidity Data Collection, Midwives Notification System, Mental Health Information System and Emergency Department Data Collection. The authors also wish to thank the Australian Co-ordinating Registry, the Registries of Births, Deaths and Marriages, the Coroners, the National Coronial Information System and the Victorian Department of Justice and Community Safety for enabling cause of death unit record file data to be used for this publication.

Competing interests

The authors declare no conflicts of interest.

References

Abbott, P, Magin, P and Hu, W (2016) Healthcare delivery for women in prison: A medical record review. Australian Journal of Primary Health 22, 523529.CrossRefGoogle ScholarPubMed
Andersen, PK and Gill, RD (1982) Cox’s regression model for counting processes: A large sample study. The Annals of Statistics 10, 11001120.CrossRefGoogle Scholar
Arditti, JA (2012) Child trauma within the context of parental incarceration: A family process perspective. Journal of Family Theory & Review 4, 181219.CrossRefGoogle Scholar
Australian Bureau of Statistics (2020) 4517.0 – Prisoners in Australia, 2020. https://www.abs.gov.au/statistics/people/crime-and-justice/prisoners-australia/2020 (accessed 12  May 2022).Google Scholar
Australian Bureau of Statistics (2021) Prisoners in Australia. Canberra: ABS. https://www.abs.gov.au/statistics/people/crime-and-justice/prisoners-australia/2021 (accessed 12  May 2022).Google Scholar
Australian Institute of Health and Welfare (2019) The health of Australia’s prisoners 2018. Canberra: AIHW.Google Scholar
Australian Institute of Health and Welfare (2021) Deaths by suicide among young people. AIHW. https://www.aihw.gov.au/suicide-self-harm-monitoring/data/populations-age-groups/suicide-among-young-people (accessed 8  February 2022).Google Scholar
Australian Institute of Health and Welfare (2022a) Deaths by suicide over time. Canberra: Australian Institute of Health and Welfare. https://www.aihw.gov.au/suicide-self-harm-monitoring/data/deaths-by-suicide-in-australia/suicide-deaths-over-time (accessed 20  January 2023).Google Scholar
Australian Institute of Health and Welfare (2022b) Suicide and intentional self-harm. Canberra: AIHW. https://www.aihw.gov.au/suicide-self-harm-monitoring/summary/suicide-and-intentional-self-harm (accessed 19  April 2022).Google Scholar
Ballesteros, MF, Williams, DD, Mack, KA, Simon, TR and Sleet, DA (2018) The epidemiology of unintentional and violence-related injury morbidity and mortality among children and adolescents in the United States. International Journal of Environmental Research and Public Health 15, .CrossRefGoogle ScholarPubMed
Bartlett, A and Hollins, S (2018) Challenges and mental health needs of women in prison. The British Journal of Psychiatry 212, 134136.CrossRefGoogle ScholarPubMed
Bell, MF, Bayliss, DM, Glauert, R and Ohan, JL (2018) Using linked data to investigate developmental vulnerabilities in children of convicted parents. Developmental Psychology 54, .CrossRefGoogle ScholarPubMed
Berens, AE and Nelson, CA (2015) The science of early adversity: Is there a role for large institutions in the care of vulnerable children? The Lancet 386, 388398.CrossRefGoogle Scholar
Berger, LM, Bruch, SK, Johnson, EI, James, S and Rubin, D (2009) Estimating the “impact” of out‐of‐home placement on child well‐being: Approaching the problem of selection bias. Child Development 80, 18561876.CrossRefGoogle ScholarPubMed
Borschmann, R, Young, JT, Moran, P, Spittal, MJ, Snow, K, Mok, K and Kinner, SA (2017) Accuracy and predictive value of incarcerated adults’ accounts of their self-harm histories: Findings from an Australian prospective data linkage study. CMAJ Open 5, .CrossRefGoogle ScholarPubMed
Briggs, EC, Greeson, JK, Layne, CM, Fairbank, JA, Knoverek, AM and Pynoos, RS (2012) Trauma exposure, psychosocial functioning, and treatment needs of youth in residential care: Preliminary findings from the NCTSN Core Data Set. Journal of Child & Adolescent Trauma 5, 115.CrossRefGoogle Scholar
Burgess, A and Flynn, C (2022) Maternal Mental Illness: Mediating Women’s Trajectory Through the Victorian Criminal Justice System. Women & Criminal Justice 32, 520536.CrossRefGoogle Scholar
Centers for Disease Control and Prevention (2022) Fast facts: Preventing adverse childhood experiences. CDC. https://www.cdc.gov/violenceprevention/aces/fastfact.html (accessed 20  January 2023).Google Scholar
Cherpitel, CJ, Ye, Y, Stockwell, T, Vallance, K and Chow, C (2018) Recall bias across 7 days in self‐reported alcohol consumption prior to injury among emergency department patients. Drug and Alcohol Review 37, 382388.CrossRefGoogle ScholarPubMed
Collin-Vézina, D, Coleman, K, Milne, L, Sell, J and Daigneault, I (2011) Trauma experiences, maltreatment-related impairments, and resilience among child welfare youth in residential care. International Journal of Mental Health and Addiction 9, 577589.CrossRefGoogle Scholar
Cook, D (2015) CCMATCH: Stata module to randomly match cases and controls based on specified criteria. Version.Google Scholar
Covington, R (2016) Incarcerated mother, invisible child. Emory International Law Review 31, 99134.Google Scholar
Davis, L and Shlafer, RJ (2017) Mental health of adolescents with currently and formerly incarcerated parents. Journal of Adolescence 54, 120134.CrossRefGoogle ScholarPubMed
Dawson, A, Brookes, L, Carter, B, Larman, G and Jackson, D (2013) Stigma, health and incarceration: Turning the tide for children with a parent in prison. Journal of Child Health Care 17, 35.CrossRefGoogle ScholarPubMed
Department of Health (2020) Data dictionary – Emergency department. Perth, Western Australia: Government of Western Australia. https://www.datalinkage-wa.org.au/resources/dataset-information/ (accessed 25 March 2021).Google Scholar
Dowell, CM, Mejia, GC, Preen, DB and 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, 112.CrossRefGoogle ScholarPubMed
Eddy, JM, Kjellstrand, JM, Martinez, CR, Newton, R, Herrera, D, Wheeler, A, Shortt, JW, Schumer, JE, Burraston, BO and Lorber, MF (2019) Theory-based multimodal parenting intervention for incarcerated parents and their children. In Eddy, J. Mark and Poehlmann-Tynan, Julie (eds), Handbook on Children with Incarcerated Parents Cham: Springer, 219235.CrossRefGoogle Scholar
Fazel, S, Hayes, AJ, Bartellas, K, Clerici, M and Trestman, R (2016) Mental health of prisoners: Prevalence, adverse outcomes, and interventions. The Lancet Psychiatry 3, 871881.CrossRefGoogle ScholarPubMed
Fazel, S and Seewald, K (2012) Severe mental illness in 33 588 prisoners worldwide: Systematic review and meta-regression analysis. The British Journal of Psychiatry 200, 364373.CrossRefGoogle ScholarPubMed
Felitti, VJ, Anda, RF, Nordenberg, D, Williamson, DF, Spitz, AM, Edwards, V and Marks, JS (1998) Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. American Journal of Preventive Medicine 14, 245258.CrossRefGoogle ScholarPubMed
Foege, WH (1998) Adverse childhood experiences: A public health perspective. American Journal of Preventive Medicine 14, 354355.Google ScholarPubMed
Friestad, C, Åse-Bente, R and Kjelsberg, E (2014) Adverse childhood experiences among women prisoners: Relationships to suicide attempts and drug abuse. International Journal of Social Psychiatry 60, 4046.CrossRefGoogle ScholarPubMed
Giordano, PC and Copp, JE (2015) ‘Packages’ of risk: Implications for determining the effect of maternal incarceration on child wellbeing. Criminology & Public Policy 14, .CrossRefGoogle ScholarPubMed
Giordano, PC, Copp, JE, Manning, WD and Longmore, MA (2019) Linking parental incarceration and family dynamics associated with intergenerational transmission: A life‐course perspective. Criminology 57, 395423.CrossRefGoogle ScholarPubMed
Glaze, L and Maruschak, L (2008) Parents in prison and their minor children (NCJ 222984). Washington, DC: United States Department of Justice, Office of Justice Programs, Bureau of Justice Statistics.Google Scholar
Gnanamanickam, ES, Nguyen, H, Armfield, JM, Doidge, JC, Brown, DS, Preen, DB and Segal, L (2022) Child maltreatment and emergency department visits: A longitudinal birth cohort study from infancy to early adulthood. Child Abuse & Neglect 123, .CrossRefGoogle ScholarPubMed
Grimes, KE (2017) Lessons from ACEs: Pay now or pay (more) later. Academic Pediatrics 17, S18S19.CrossRefGoogle ScholarPubMed
Hanauer, S (2015) Trauma-informed out-of-home care. Journal of Child and Youth Care Work 25, 6684.CrossRefGoogle Scholar
Holman, CDJ, Bass, AJ, Rouse, IL and Hobbs, MST (1999) Population-based linkage of health records in Western Australia: Development of a health services research linked database. Australian and New Zealand Journal of Public Health 23, 453459.CrossRefGoogle ScholarPubMed
Hugo Centre for Population and Housing (2020) Accessibility/Remoteness index of Australia (ARIA). Adelaide: The University of Adelaide. https://www.adelaide.edu.au/hugo-centre/services/aria (accessed 25  March 2021).Google Scholar
Hu, N, Taylor, CL, Li, J and Glauert, RA (2017) The impact of child maltreatment on the risk of deliberate self-harm among adolescents: A population-wide cohort study using linked administrative records. Child Abuse & Neglect 67, 322337.CrossRefGoogle ScholarPubMed
Kjellstrand, J (2017) Building a tailored, multilevel prevention strategy to support children and families affected by parental incarceration. Smith College Studies in Social Work 87, 112129.CrossRefGoogle Scholar
Laurens, KR, Tzoumakis, S, Kariuki, M, Green, MJ, Hamde, M, Harris, F, Carr, VJ and Dean, K (2017) Pervasive influence of maternal and paternal criminal offending on early childhood development: A population data linkage study. Psychological Medicine 47, 889901.CrossRefGoogle ScholarPubMed
Leckning, B, He, VY, Condon, JR, Hirvonen, T, Milroy, H and Guthridge, S (2021) Patterns of child protection service involvement by Aboriginal children associated with a higher risk of self-harm in adolescence: A retrospective population cohort study using linked administrative data. Child Abuse & Neglect 113, .CrossRefGoogle ScholarPubMed
Lee, RD, Fang, X and Luo, F (2013) The impact of parental incarceration on the physical and mental health of young adults. Pediatrics 131, e1188e1195.CrossRefGoogle ScholarPubMed
Lee, H, Wildeman, C, Wang, EA, Matusko, N and Jackson, JS (2014) A heavy burden: The cardiovascular health consequences of having a family member incarcerated. American Journal of Public Health 104, 421427.CrossRefGoogle ScholarPubMed
Medicode (Firm) (1996) ICD-9-CM: International Classification of Diseases, 9th Revision, Clinical Modification. Salt Lake City, Utah: Medicode.Google Scholar
Metzler, M, Merrick, MT, Klevens, J, Ports, KA and Ford, DC (2017) Adverse childhood experiences and life opportunities: Shifting the narrative. Children and Youth Services Review 72, 141149.CrossRefGoogle Scholar
Morgan, C, Webb, RT, Carr, MJ, Kontopantelis, E, Green, J, Chew-Graham, CA, Kapur, N and Ashcroft, DM (2017) Incidence, clinical management, and mortality risk following self-harm among children and adolescents: Cohort study in primary care. BMJ 359, .Google ScholarPubMed
Murray, ET, Lacey, R, Maughan, B and Sacker, A (2020) Association of childhood out-of-home care status with all-cause mortality up to 42-years later: Office of National Statistics Longitudinal Study. BMC Public Health 20, 110.CrossRefGoogle ScholarPubMed
National Centre for Classification in Health (2004) International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM), Sydney, National Centre for Classification in Health, Faculty of Health Services, University of Sydney.Google Scholar
O’hare, K, Watkeys, O, Whitten, T, Dean, K, Laurens, KR, Harris, F, Carr, VJ and Green, MJ (2022) Cumulative environmental risk in early life is associated with mental disorders in childhood. Psychological Medicine, 110.CrossRefGoogle ScholarPubMed
Raj, R, Kaprio, J, Korja, M, Mikkonen, ED, Jousilahti, P and Siironen, J (2017) Risk of hospitalization with neurodegenerative disease after moderate-to-severe traumatic brain injury in the working-age population: A retrospective cohort study using the Finnish national health registries. PLoS Medicine 14, .CrossRefGoogle ScholarPubMed
Royston, P and Parmar, MK (2002) Flexible parametric proportional‐hazards and proportional‐odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Statistics in Medicine 21, 21752197.CrossRefGoogle ScholarPubMed
Saunders, V and Mcarthur, M (2013) Children of prisoners: Exploring the needs of children and young people who have a parent incarcerated in the ACT. Canberra: Australian Catholic University.Google Scholar
Stanton, AE and Rose, SJ (2020) The mental health of mothers currently and formerly incarcerated in jails and prisons: An integrative review on mental health, mental health treatment, and traumatic experiences. Journal of Forensic Nursing 16, 224231.CrossRefGoogle ScholarPubMed
Statacorp (2019) Stata Statistical Software: Release 16. College Station, TX: StataCorp LLC.Google Scholar
Thompson, AH, Dewa, CS and Phare, S (2012) The suicidal process: Age of onset and severity of suicidal behaviour. Social Psychiatry and Psychiatric Epidemiology 47, 12631269.CrossRefGoogle ScholarPubMed
Turney, K (2014) Stress proliferation across generations? Examining the relationship between parental incarceration and childhood health. Journal of Health and Social Behavior 55, 302319.CrossRefGoogle ScholarPubMed
Walmsley, R (2018) World Female Imprisonment List, 4th edn. London: Institute for Criminal Policy Research at Birkbeck, University of London.Google Scholar
Whitten, T, Burton, M, Tzoumakis, S and Dean, K (2019) Parental offending and child physical health, mental health, and drug use outcomes: A systematic literature review. Journal of Child and Family Studies 28, 11551168.CrossRefGoogle Scholar
Whitten, T, Dean, K, Li, R, Laurens, KR, Harris, F, Carr, VJ and Green, MJ (2021) Earlier contact with child protection services among children of parents with criminal convictions and mental disorders. Child Maltreatment 26, 6373.CrossRefGoogle ScholarPubMed
Wildeman, C (2012) Imprisonment and infant mortality. Social Problems 59, 228257.Google Scholar
Wildeman, C, Andersen, SH, Lee, H and Karlson, KB (2014a) Parental incarceration and child mortality in Denmark. American Journal of Public Health 104, 428433.CrossRefGoogle ScholarPubMed
Wildeman, C, Schnittker, J and Turney, K (2012) Despair by association? The mental health of mothers with children by recently incarcerated fathers. American Sociological Review 77, 216243.CrossRefGoogle Scholar
Wildeman, C and Turney, K (2014b) Positive, negative, or null? The effects of maternal incarceration on children’s behavioral problems. Demography 51, 10411068.CrossRefGoogle ScholarPubMed
Wilson, M, Jones, J, Butler, T, Simpson, P, Gilles, M, Baldry, E, Levy, M and Sullivan, E (2017) Violence in the lives of incarcerated Aboriginal mothers in Western Australia. Sage Open 7, .CrossRefGoogle Scholar
Figure 0

Table 1. Datasets included in the study

Figure 1

Table 2. Participant characteristics for children exposed and non-exposed to maternal incarceration between conception and 18 years of age

Figure 2

Table 3. Suicide and self-harm counts and rates per 100,000 person-years, stratified by prior exposure to maternal incarceration and age group (for self-harm only)

Figure 3

Table 4. Unadjusted and adjusted Cox proportional hazards regression for suicide events

Figure 4

Figure 1. Age-specific self-harm rates for participants previously exposed and non-exposed to maternal incarceration.

Figure 5

Table 5. Unadjusted and adjusted Andersen–Gill Cox proportional hazards regression for self-harm events