Abstract
Objectives
To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress.
Methods
Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change.
Results
Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated.
Conclusions
Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives.
Similar content being viewed by others
Notes
The Australian imprisonment rate is currently 221 prisoners per 100,000 adults (Australian Bureau of Statistics 2018), which is much lower than the US imprisonment rate of 458 prisoners per 100,000 adults in 2015 (Carson 2016), though well above a global average of 144 per 100,000 (Coyle et al. 2016).
The term ‘jail’ was used in the interview but refers broadly to imprisonment. In Australia, all remand (unsentenced) and sentenced individuals are detained in prisons, regardless of sentence length.
References
Arditti JA (2005) Families and incarceration: an ecological approach. Fam Soc 86(2):251–260
Arditti JA (2015) Family process perspective on the heterogeneous effects of maternal incarceration on child wellbeing: the trouble with differences. Criminol Public Policy 14(1):169–182
Arditti J (2016) A family stress-proximal process model for understanding the effects of parental incarceration on children and their families. Couple Fam Psychol Res Pract 5(2):65–88
Australian Bureau of Statistics (2018) Prisoners in Australia, 2018 (4517.0). Retrieved from https://www.abs.gov.au/ausstats/abs@.nsf/mf/4517.0. Accessed 10 April 2019
Beeber LS, Schwartz TA, Martinez MI, Holditch-Davis D, Bledsoe SE, Canuso R, Lewis VS (2014) Depressive symptoms and compromised parenting in low-income mothers of infants and toddlers: distal and proximal risks. Res Nurs Health 37(4):276–291
Besemer KL, Dennison SM (2018) Family imprisonment, maternal parenting stress and its impact on mother-child relationship satisfaction. J Child Fam Stud 27:3897–3908
Besemer K, Dennison S (2019) Intergenerational social exclusion in prisoners’ families. In: Hutton M, Moran D (eds) The Palgrave handbook on prison and the family. Palgrave, Basingstoke, pp 479–501
Besemer K, Dennison S, Bijleveld CCH, Murray J (in press) Effects of parental incarceration on children: lessons from international research. In: Eddy JM, Poehlmann-Tynan J (eds) Handbook on children of incarcerated parents: research, policy, and practice, 2nd edn. Springer
Besemer S, van de Geest V, Murray J, Bijleveld CCJH, Farrington DP (2011) The relationship between parental imprisonment and offspring offending in England and the Netherlands. Br J Criminol 51:413–437
Boss P (2002) Family stress management: a contextual approach, 2nd edn. Sage, Thousand Oaks
Bretherton I (1992) The origins of attachment theory: John Bowlby and Mary Ainsworth. Dev Psychol 28(5):759–775
Carson EA (2016) Prisoners in 2015 (NCJ 250229). Bureau of Justice Statistics, Washington, DC
Celeux G, Forbes F, Robert CP, Titterington DM (2006) Deviance information criteria for missing data models. Bayesian Anal 1(4):651–673
Celeux G, Fruewirth-Schnatter S, Robert CP (2018) Model selection for mixture models: perspectives and strategies. Arxiv preprint arXiv: 1812.09885
Comfort M (2016) A twenty-hour-a-day job: the impact of frequent low-level criminal justice involvement on family life. Ann Acad Polit Soc Sci 665:63–79
Cooper CE, McLanahan SS, Meadows SO, Brooks-Gunn J (2009) Family structure transitions and maternal parenting stress. J Marriage Fam 71:558–574
Core Team R (2018) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Coyle A, Fair H, Jacobson J, Walmsley R (2016) Imprisonment worldwide: the current situation and an alternative future. Policy Press, Bristol
Deater-Deckard K (1998) Parenting stress and child adjustment: some old hypotheses and new questions. Clin Psychol Sci Pract 5(3):314–332
Dennison S, Stewart A, Freiberg K (2013) A prevalence study of children with imprisoned fathers: annual and lifetime estimates. Aust J Soc Issues 48(3):339–362
Etz A, Vandekerckhove J (2018) Introduction to Bayesian Inference for Psychology. Psychon Bull Rev 25(1):5–34
Gabry J, Simpson D, Vehtari A, Betancourt M, Gelman A (2019) Visualization in Bayesian workflow. J R Stat Soc Ser A (Stat Soc) 182(2):389–402
Gelfand AE, Sahu SK (1999) Identifiability, improper priors, and gibbs sampling for generalized linear models. J Am Stat Assoc 94(445):247–253
Geller A, Garfinkel I, Cooper CE, Mincy RB (2009) Parental incarceration and child well-being: implications for urban families. Soc Sci Q 90:1186–1202
Gelman A, Shalizi CR (2013) Philosophy and the practice of Bayesian statistics. Br J Math Stat Psychol 66(1):8–38
Gelman A, Stern HS, Carlin JB, Dunson DB, Vehtari A, Rubin DB (2013) Bayesian data analysis, 3rd edn. New York, Chapman and Hall/CRC
Giordano PC (2010) Legacies of crime: a follow-up of the children of highly delinquent girls and boys. Cambridge University Press, New York
Giordano PC, Copp JE (2015) ‘Packages’ of risk: implications for determining the effect of maternal incarceration on child wellbeing. Criminol Public Policy 14(1):157–168
Giordano PC, Copp JE, Manning WD, Longmore MA (2019) Linking parental incarceration and family dynamics associated with intergenerational transmission: a life-course perspective. Criminology. https://doi.org/10.1111/1745-9125.12209
Green KM, Ensminger ME, Roberston JA, Juon H (2006) Impact of adult sons’ incarceration on African American mothers’ psychological distress. J Marriage Fam 68(2):430–441
Hofferth S, Davis-Kean PE, Davis J, Finkelstein J (1997) The child development supplement to the panel study of income dynamics: 1997 user guide. Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor
Hunter BH, Kennedy S, Smith D (2003) Household composition, equivalence scales and the reliability of income distribution: some evidence for Indigenous and other Australians. Econ Rec 79(244):70–83
Jaffee SR, Moffitt TE, Caspi A, Taylor A (2003) Life with (or without) father: the benefits of living with two biological parents depend on the father’s antisocial behaviour. Child Dev 74:109–126
Johnson EI, Easterling B (2012) Understanding unique effects of parental incarceration on children: challenges, progress, and recommendations. J Marriage Fam 74:342–356
Lee H, Wildeman C, Wang EA, Matusko N, Jackson JS (2014) A heavy burden: the cardiovascular health consequences of having a family member incarcerated. Am J Public Health 104(3):421–427
Liverani S, Hastie DI, Azizi L, Papathomas M, Richardson S (2015) PReMiuM: an R package for profile regression mixture models using Dirichlet processes. J Stat Softw 64(7):1–30
Low-Choy S, Riley T, Alston-Knox C (2017) Using Bayesian statistical modelling as a bridge between quantitative and qualitative analyses: illustrated via analysis of an online teaching tool. Educ Media Int 54(4):317–359
Mackintosh VH, Myers BJ, Kennon SS (2006) Children of incarcerated mothers and their caregivers: factors affecting the quality of their relationship. J Child Fam Stud 15(5):581–596
Marsiglio W, Amato P, Day RD, Lamb ME (2000) Scholarship on fatherhood in the 1990s and beyond. J Marriage Fam 62:1173–1191
Mash EJ, Johnston C (1990) Determinants of parenting stress: illustrations from families of hyperactive children and families of physically abused children. J Clin Child Psychol 19(4):313–328
Matejka J, Fitzmaurice G (2017) Same stats, different graphs: generating datasets with varied appearance and identical statistics through simulated annealing. In: Proceedings, ACM SIGCHI conference on human factors in computing systems, 2017. Retrieved from https://www.autodeskresearch.com/publications/samestats. Accessed 8 May 2019
Molitor J, Papathomas M, Jerrett M, Richardson S (2010) Bayesian profile regression with an application to the National Survey of Children’s Health. Biostatistics 11:484–498
Murray J, Farrington DP (2005) Parental imprisonment: effects on boys’ antisocial behaviour and delinquency through the life-course. J Child Psychol Psychiatry 46:1269–1278
Murray J, Farrington DP (2008) Parental imprisonment: long-lasting effects on boys’ internalising problems through the life-course. Dev Psychopathol 20:273–290
Murray J, Janson C-G, Farrington DP (2007) Crime in adult offspring of prisoners: a cross-national comparison of two longitudinal samples. Crim Justice Behav 34(1):133–149
Murray J, Bijleveld CCJH, Farrington DP, Loeber R (2014) Effects of parental incarceration on children: cross-national comparative studies. American Psychological Association, Washington, DC
OECD (2019) Society at a Glance 2019: OECD Social Indicators. OECD Publishing, Paris. https://doi.org/10.1787/soc_glance-2019-en
Papathomas M, Molitor J, Richardson S, Riboli E, Vineis P (2011) Examining the joint effect of multiple risk factors using exposure risk profiles: lung cancer in non smokers. Environ Health Perspect 119:84–91
Papathomas M, Molitor J, Hoggart C, Hastie D, Richardson S (2012) Exploring data from genetic association studies using Bayesian variable selection and the Dirichlet process: application to searching for gene-gene patterns. Genet Epidemiol 36:663–674
Parker JS, Benson MJ (2004) Parent-adolescent relations and adolescent functioning: self-esteem, substance abuse, and delinquency. Adolescence 39(155):519–530
Pooley CM, Marion G (2018) Bayesian model evidence as a practical alternative to deviance information criterion. R Soc Open Sci 5(3):171519
Rodriguez N (2016) Bridging the gap between research and practice: the role of science in addressing the effects of incarceration on family life. Ann Acad Polit Soc Sci 665:231–240
SAS Institute Inc (2011) SAS/QC® 9.3 User’s Guide. Cary, NC: SAS Institute Inc. Retrieved from https://support.sas.com/documentation/cdl/en/qcug/63964/PDF/default/qcug.pdf. Accessed 18 March 2019
Schore JR, Schore AN (2008) Modern attachment theory: the central role of affect regulation in development and treatment. Clin Soc Work J 36(1):9–20
Siennick SE, Stewart EA, Staff J (2014) Explaining the association between incarceration and divorce. Criminology 52(3):371–398
Smith BJ (2007) boa: an R package for MCMC output convergence assessment and posterior inference. J Stat Softw 21(11):1–37
Turanovic J, Rodriguez N, Pratt TC (2012) The collateral consequences of incarceration revisited: a qualitative analysis of the effects on caregivers of children of incarcerated parents. Criminology 50:913–959
Turney K (2014) The consequences of paternal incarceration for maternal neglect and harsh parenting. Soc Forces 92(4):1607–1636. https://doi.org/10.1093/sf/sot160
Turney K, Wildeman C (2013) Redefining relationships: explaining the countervailing consequences of paternal incarceration for parenting. Am Sociol Rev 78(6):949–979
Turney K, Wildeman C (2015) Detrimental for some? Heterogeneous effects of maternal incarceration on child wellbeing. Criminol Public Policy 14(1):125–156
United Nations Development Programme (2018) Human development indices and indicators: 2018 statistical update. United Nations Development Programme, New York
Van de Schoot R, Kaplan D, Denissen J, Asendorpf JB, Neyer FJ, Van Aken MA (2014) A gentle introduction to Bayesian analysis: applications to developmental research. Child Dev 85(3):842–860
Wakefield S (2016) Changing the ties that bind: distinguishing the connected from the disconnected and accounting for the burdensome. Criminol Public Policy 15:543–549
Wakefield S, Wildeman C (2014) Children of the prison boom: mass incarceration and the future of american inequality. Oxford University Press, Oxford
Wakefield S, Lee H, Wildeman C (2016) Tough on crime, tough on families? Criminal justice and family life in America. Ann Am Acad Polit Soc Sci 665:8–21
Ware J, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care 30(6):473–483
Watson N, Wooden MP (2012) The HILDA survey: a case study in the design and development of a successful household panel survey. Longitud Life Course Stud 3(3):369–381
Wildeman C (2010) Paternal incarceration and children’s physically aggressive behaviors: evidence from the Fragile Families and Child Wellbeing Study. Soc Forces 89:285–310
Wildeman C, Schnittker J, Turney K (2012) Despair by association? The mental health of mothers with children by recently incarcerated fathers. Am Sociol Rev 77(2):216–243
Wilkins R, Warren D (2013) Families, incomes and jobs, volume 8: A statistical report on waves 1 to 10 of the household, income and labour dynamics in Australia survey. Melbourne Institute of Applied Economic and Social Research, Faculty of Business and Economics, Melbourne
Williams KJ, Low-Choy S, Rochester W, Alston C (2012) Using Bayesian mixture models that combine expert knowledge and GIS data to define ecoregions. In: Perera AH, Drew CA, Johnson CJ (eds) Expert knowledge and its application in landscape ecology. Springer, New York, pp 229–251
Wooden M (2003) Balancing work and family at the start of the 21 st century: Evidence from wave 1 of the HILDA survey. Paper presented at the 2003 Melbourne Institute Economic and Social Outlook Conference. Melbourne, Australia. Retrieved from https://melbourneinstitute.unimelb.edu.au/assets/documents/hilda-bibliography/conference-papers-lectures/2003/Wooden_Balancing_Work_and_Family.pdf. Accessed 5 Dec 2017
Acknowledgements
This paper uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute. We thank Nicole White and Clair Alston-Knox for helpful discussions, as well as Robert Apel and the three anonymous reviewers for their insightful comments and suggestions.
Funding
Funding was provided by Australian Research Council (Grant No. FT0991557).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Dennison, S., Besemer, K. & Low-Choy, S. Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey. J Quant Criminol 36, 753–778 (2020). https://doi.org/10.1007/s10940-019-09430-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10940-019-09430-z