Resilient phenotypes among bereaved youth: a comparison of trajectory, relative, and cross-domain approaches.

ALSPAC Bereavement Childhood and adolescence Latent growth mixture models Resilience

Journal

Child and adolescent psychiatry and mental health
ISSN: 1753-2000
Titre abrégé: Child Adolesc Psychiatry Ment Health
Pays: England
ID NLM: 101297974

Informations de publication

Date de publication:
08 Feb 2023
Historique:
received: 15 11 2022
accepted: 11 01 2023
entrez: 9 2 2023
pubmed: 10 2 2023
medline: 10 2 2023
Statut: epublish

Résumé

Bereavement is a common traumatic event associated with adverse health outcomes across the life course. Despite these risks, not all bereaved individuals experience these negative effects. Limited scientific consensus exists on how to define resilience in individuals who have experienced the death of a loved one. Using a sample of N = 3766 youth from the Avon Longitudinal Study of Parents and Children birth cohort, we identified bereavement of a family member between ages 7 and 8.5. We derived and compared three different approaches to assess resilience among bereaved youth. Trajectory-based psychological resilience identified sub-groups with similar psychological symptom profiles between ages 6 and 16 using latent growth mixture models. Relative psychological resilience at age 16 leveraged standardized residuals from a model regressing psychological symptoms on bereavement to determine better-than-expected psychological functioning relative to bereavement status. Relative cross-domain resilience around age 16 was a sum score of the residuals approach applied to eight unique domains of health. Predictive validity of each approach was assessed using depressive symptoms at age 17.5 RESULTS: Overall, N = 877 (23%) youth were bereaved of a family member between ages 7 and 8.5. Using latent growth mixture models, a three-class solution described 84% of bereaved youth with low and stable psychological symptoms over time, 8% with worsening symptoms, and 8% with improving yet elevated symptoms. Each relative resilience score was largely concordant with the trajectory-based approach in identifying individuals as resilient or not, though relative psychological resilience demonstrated a stronger degree of concordance than the cross-domain score. Relative psychological and cross-domain resilience exhibited moderate to low correlation, depending on the domains included (r = 0.14-0.43). For each approach, resilience significantly predicted lower depressive symptoms at age 17.5, highlighting predictive validity of these measures. Psychological symptom trajectories among bereaved youth aligned with those previously identified among bereaved adults. The residual-based approach to defining resilience exhibited limited utility in the context of bereavement. When identifying risk and resilience after bereavement, researchers and clinicians must address the interplay across psychosocial and physical health domains, as bereaved youth considered resilient from a mental health perspective may benefit from intervention in other domains.

Sections du résumé

BACKGROUND BACKGROUND
Bereavement is a common traumatic event associated with adverse health outcomes across the life course. Despite these risks, not all bereaved individuals experience these negative effects. Limited scientific consensus exists on how to define resilience in individuals who have experienced the death of a loved one.
METHODS METHODS
Using a sample of N = 3766 youth from the Avon Longitudinal Study of Parents and Children birth cohort, we identified bereavement of a family member between ages 7 and 8.5. We derived and compared three different approaches to assess resilience among bereaved youth. Trajectory-based psychological resilience identified sub-groups with similar psychological symptom profiles between ages 6 and 16 using latent growth mixture models. Relative psychological resilience at age 16 leveraged standardized residuals from a model regressing psychological symptoms on bereavement to determine better-than-expected psychological functioning relative to bereavement status. Relative cross-domain resilience around age 16 was a sum score of the residuals approach applied to eight unique domains of health. Predictive validity of each approach was assessed using depressive symptoms at age 17.5 RESULTS: Overall, N = 877 (23%) youth were bereaved of a family member between ages 7 and 8.5. Using latent growth mixture models, a three-class solution described 84% of bereaved youth with low and stable psychological symptoms over time, 8% with worsening symptoms, and 8% with improving yet elevated symptoms. Each relative resilience score was largely concordant with the trajectory-based approach in identifying individuals as resilient or not, though relative psychological resilience demonstrated a stronger degree of concordance than the cross-domain score. Relative psychological and cross-domain resilience exhibited moderate to low correlation, depending on the domains included (r = 0.14-0.43). For each approach, resilience significantly predicted lower depressive symptoms at age 17.5, highlighting predictive validity of these measures.
CONCLUSIONS CONCLUSIONS
Psychological symptom trajectories among bereaved youth aligned with those previously identified among bereaved adults. The residual-based approach to defining resilience exhibited limited utility in the context of bereavement. When identifying risk and resilience after bereavement, researchers and clinicians must address the interplay across psychosocial and physical health domains, as bereaved youth considered resilient from a mental health perspective may benefit from intervention in other domains.

Identifiants

pubmed: 36755284
doi: 10.1186/s13034-023-00568-0
pii: 10.1186/s13034-023-00568-0
pmc: PMC9909953
doi:

Types de publication

Journal Article

Langues

eng

Pagination

23

Subventions

Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : National Institute of Mental Health
ID : 1K23MH117278-01A1

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2023. The Author(s).

Références

Benjet C, Bromet E, Karam EG, Kessler RC, McLaughlin KA, Ruscio AM, et al. The epidemiology of traumatic event exposure worldwide: results from the World Mental Health Survey Consortium. Psychol Med. 2016;46(2):327–43.
pubmed: 26511595 doi: 10.1017/S0033291715001981
Keyes KM, Pratt C, Galea S, McLaughlin KA, Koenen KC, Shear MK. The burden of loss: unexpected death of a loved one and psychiatric disorders across the life course in a national study. Am J Psychiatry. 2014;171(8):864–71.
pubmed: 24832609 pmcid: 4119479 doi: 10.1176/appi.ajp.2014.13081132
Oh DL, Jerman P, Silvério Marques S, Koita K, Purewal Boparai SK, Burke Harris N, et al. Systematic review of pediatric health outcomes associated with childhood adversity. BMC Pediatr. 2018;18(1):83.
pubmed: 29475430 pmcid: 5824569 doi: 10.1186/s12887-018-1037-7
Petruccelli K, Davis J, Berman T. Adverse childhood experiences and associated health outcomes: a systematic review and meta-analysis. Child Abuse Negl. 2019;97: 104127.
pubmed: 31454589 doi: 10.1016/j.chiabu.2019.104127
Applebaum DR, Burns GL. Unexpected childhood death: posttraumatic stress disorder in surviving siblings and parents. J Clin Child Psychol. 1991;20(2):114–20.
doi: 10.1207/s15374424jccp2002_1
Carr D, Boerner K, Moorman S. Bereavement in the time of coronavirus: unprecedented challenges demand novel interventions. J Aging Soc Policy. 2020;32(4–5):425–31.
pubmed: 32419667 doi: 10.1080/08959420.2020.1764320
Barenbaum E, Smith T. Social support as a protective factor for children impacted by HIV/AIDS across varying living environments in southern Africa. AIDS Care. 2016;28(Suppl 2):92–9.
pubmed: 27392004 pmcid: 4991218 doi: 10.1080/09540121.2016.1176683
Kaplow JB, Saunders J, Angold A, Costello EJ. Psychiatric symptoms in bereaved versus nonbereaved youth and young adults: a longitudinal epidemiological study. J Am Acad Child Adolesc Psychiatry. 2010;49(11):1145–54.
pubmed: 20970702 pmcid: 2965565
Harrison L, Harrington R. Adolescents’ bereavement experiences. Prevalence, association with depressive symptoms, and use of services. J Adolesc. 2001;24(2):159–69.
pubmed: 11437477 doi: 10.1006/jado.2001.0379
Guldin M-B, Li J, Pedersen HS, Obel C, Agerbo E, Gissler M, et al. Incidence of suicide among persons who had a parent who died during their childhood: a population-based cohort study. JAMA Psychiat. 2015;72(12):1227–34.
doi: 10.1001/jamapsychiatry.2015.2094
Bergman A-S, Axberg U, Hanson E. When a parent dies—a systematic review of the effects of support programs for parentally bereaved children and their caregivers. BMC Palliat Care. 2017;16(1):39.
pubmed: 28797262 pmcid: 5553589 doi: 10.1186/s12904-017-0223-y
Pham S, Porta G, Biernesser C, Walker Payne M, Iyengar S, Melhem N, et al. The burden of bereavement: early-onset depression and impairment in youths bereaved by sudden parental death in a 7-year prospective study. Am J Psychiatry. 2018;175(9):887–96.
pubmed: 29921145 pmcid: 6120798 doi: 10.1176/appi.ajp.2018.17070792
Alciati A, Gesuele F, Casazza G, Foschi D. The relationship between childhood parental loss and metabolic syndrome in obese subjects. Stress Health. 2013;29(1):5–13.
pubmed: 22190357 doi: 10.1002/smi.1435
Dietz LJ, Stoyak S, Melhem N, Porta G, Matthews KA, Walker Payne M, et al. Cortisol response to social stress in parentally bereaved youth. Biol Psychiatry. 2013;73(4):379–87.
pubmed: 23021533 doi: 10.1016/j.biopsych.2012.08.016
Shear MK. Getting straight about grief. Depress Anxiety. 2012;29(6):461–4.
pubmed: 22730310 doi: 10.1002/da.21963
Bonanno GA. Loss, trauma, and human resilience: have we underestimated the human capacity to thrive after extremely aversive events? Am Psychol. 2004;59(1):20–8.
pubmed: 14736317 doi: 10.1037/0003-066X.59.1.20
Cicchetti D. Resilience under conditions of extreme stress: a multilevel perspective. World Psychiatry. 2010;9(3):145–54.
pubmed: 20975856 pmcid: 2948722 doi: 10.1002/j.2051-5545.2010.tb00297.x
Denckla CA, Cicchetti D, Kubzansky LD, Seedat S, Teicher MH, Williams DR, et al. Psychological resilience: an update on definitions, a critical appraisal, and research recommendations. Eur J Psychotraumatol. 2020;11(1):1822064.
pubmed: 33244362 pmcid: 7678676 doi: 10.1080/20008198.2020.1822064
Bonanno GA, Wortman CB, Lehman DR, Tweed RG, Haring M, Sonnega J, et al. Resilience to loss and chronic grief: a prospective study from preloss to 18-months postloss. J Pers Soc Psychol. 2002;83(5):1150–64.
pubmed: 12416919 doi: 10.1037/0022-3514.83.5.1150
Djelantik AAAMJ, Robinaugh DJ, Boelen PA. The course of symptoms in the first 27 months following bereavement: a latent trajectory analysis of prolonged grief, posttraumatic stress, and depression. Psychiatry Res. 2022;311: 114472.
pubmed: 35248806 doi: 10.1016/j.psychres.2022.114472
Nishimi K, Choi KW, Cerutti J, Powers A, Bradley B, Dunn EC. Measures of adult psychological resilience following early-life adversity: how congruent are different measures? Psychol Med. 2021;51(15):2637–46.
pubmed: 32406816 doi: 10.1017/S0033291720001191
Bonanno GA, Neria Y, Mancini A, Coifman KG, Litz B, Insel B. Is there more to complicated grief than depression and posttraumatic stress disorder? A test of incremental validity. J Abnorm Psychol. 2007;116(2):342–51.
pubmed: 17516766 doi: 10.1037/0021-843X.116.2.342
Shear MK, Simon N, Wall M, Zisook S, Neimeyer R, Duan N, et al. Complicated grief and related bereavement issues for DSM-5. Depress Anxiety. 2011;28(2):103–17.
pubmed: 21284063 pmcid: 3075805 doi: 10.1002/da.20780
Luecken LJ, Roubinov DS. Pathways to lifespan health following childhood parental death. Soc Personal Psychol Compass. 2012;6(3):243–57.
pubmed: 23555319 pmcid: 3613285 doi: 10.1111/j.1751-9004.2011.00422.x
Richman LS, Kubzansky L, Maselko J, Kawachi I, Choo P, Bauer M. Positive emotion and health: going beyond the negative. Health Psychol. 2005;24(4):422–9.
pubmed: 16045378 doi: 10.1037/0278-6133.24.4.422
VanderWeele TJ, Chen Y, Long K, Kim ES, Trudel-Fitzgerald C, Kubzansky LD. Positive epidemiology? Epidemiology. 2020;31(2):189–93.
pubmed: 31809344 doi: 10.1097/EDE.0000000000001147
Bonanno GA, Westphal M, Mancini AD. Resilience to loss and potential trauma. Annu Rev Clin Psychol. 2011;7:511–35.
pubmed: 21091190 doi: 10.1146/annurev-clinpsy-032210-104526
Kim-Cohen J, Moffitt TE, Caspi A, Taylor A. Genetic and environmental processes in young children’s resilience and vulnerability to socioeconomic deprivation. Child Dev. 2004;75(3):651–68.
pubmed: 15144479 doi: 10.1111/j.1467-8624.2004.00699.x
Amstadter AB, Myers JM, Kendler KS. Psychiatric resilience: longitudinal twin study. Br J Psychiatry. 2014;205(4):275–80.
pubmed: 24723629 pmcid: 4180845 doi: 10.1192/bjp.bp.113.130906
Choi KW, Stein MB, Dunn EC, Koenen KC, Smoller JW. Genomics and psychological resilience: a research agenda. Mol Psychiatry. 2019;24(12):1770–8.
pubmed: 31341239 pmcid: 6874722 doi: 10.1038/s41380-019-0457-6
Ryan M, Ryznar R. The molecular basis of resilience: a narrative review. Front Psychiatry. 2022;6(13): 856998.
doi: 10.3389/fpsyt.2022.856998
Luthar SS, Doernberger CH, Zigler E. Resilience is not a unidimensional construct: insights from a prospective study of inner-city adolescents. Dev Psychopathol. 1993;5(4):703–17.
pubmed: 25722542 pmcid: 4339070 doi: 10.1017/S0954579400006246
Luthar SS, Cicchetti D, Becker B. The construct of resilience: a critical evaluation and guidelines for future work. Child Dev. 2000;71(3):543–62.
pubmed: 10953923 pmcid: 1885202 doi: 10.1111/1467-8624.00164
Boyd A, Golding J, Macleod J, Lawlor DA, Fraser A, Henderson J, et al. Cohort Profile: the ’children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol. 2013;42(1):111–27.
pubmed: 22507743 doi: 10.1093/ije/dys064
Fraser A, Macdonald-Wallis C, Tilling K, Boyd A, Golding J, Davey Smith G, et al. Cohort profile: the avon longitudinal study of parents and children: ALSPAC mothers cohort. Int J Epidemiol. 2013;42(1):97–110.
pubmed: 22507742 doi: 10.1093/ije/dys066
Golding J, Pembrey M, Jones R, ALSPAC Study Team. ALSPAC–the Avon Longitudinal Study of Parents and Children. I. Study methodology. Paediatr Perinat Epidemiol. 2001;15(1):74–87.
pubmed: 11237119 doi: 10.1046/j.1365-3016.2001.00325.x
Cornish RP, Macleod J, Boyd A, Tilling K. Factors associated with participation over time in the Avon Longitudinal Study of Parents and Children: a study using linked education and primary care data. Int J Epidemiol. 2021;50(1):293–302.
pubmed: 33057662 doi: 10.1093/ije/dyaa192
Dohrenwend BP. Inventorying stressful life events as risk factors for psychopathology: toward resolution of the problem of intracategory variability. Psychol Bull. 2006;132(3):477–95.
pubmed: 16719570 pmcid: 1584216 doi: 10.1037/0033-2909.132.3.477
Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38(5):581–6.
pubmed: 9255702 doi: 10.1111/j.1469-7610.1997.tb01545.x
Angold A, Costello EJ, Messer SC, Pickles A, Winder F, Silver D. Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. Int J High Risk Behav Addict. 1995;5:237–49.
Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. The alcohol use disorders identification test. http://www.psiholocator.com/images/who_msd_msb_016a.pdf . Accessed 22 Jul 2022.
Smerillo NE, Reynolds AJ, Temple JA, Ou S-R. Chronic absence, eighth-grade achievement, and high school attainment in the Chicago Longitudinal Study. J Sch Psychol. 2018;67:163–78.
pubmed: 29571532 doi: 10.1016/j.jsp.2017.11.001
Ni Mhurchu C, Turley M, Gorton D, Jiang Y, Michie J, Maddison R, et al. Effects of a free school breakfast programme on school attendance, achievement, psychosocial function, and nutrition: a stepped wedge cluster randomised trial. BMC Public Health. 2010;29(10):738.
doi: 10.1186/1471-2458-10-738
Schultebraucks K, Choi KW, Galatzer-Levy IR, Bonanno GA. Discriminating heterogeneous trajectories of resilience and depression after major life stressors using polygenic scores. JAMA Psychiat. 2021;78(7):744–52.
doi: 10.1001/jamapsychiatry.2021.0228
Cahill S, Hager R, Chandola T. The validity of the residuals approach to measuring resilience to adverse childhood experiences. Child Adolesc Psychiatry Ment Health. 2022;16(1):18.
pubmed: 35232481 pmcid: 8889660 doi: 10.1186/s13034-022-00449-y
Hirshkowitz M, Whiton K, Albert SM, Alessi C, Bruni O, DonCarlos L, et al. National Sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep Health. 2015;1(1):40–3.
pubmed: 29073412 doi: 10.1016/j.sleh.2014.12.010
Weinberg RJ, Dietz LJ, Stoyak S, Melhem NM, Porta G, Payne MW, et al. A prospective study of parentally bereaved youth, caregiver depression, and body mass index. J Clin Psychiatry. 2013;74(8):834–40.
pubmed: 24021503 pmcid: 4037809 doi: 10.4088/JCP.12m08284
Jung T, Wickrama KAS. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008;2(1):302–17.
doi: 10.1111/j.1751-9004.2007.00054.x
Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika. 2001;88(3):767–78.
doi: 10.1093/biomet/88.3.767
Herle M, Stavola BD, Hübel C, Abdulkadir M, Ferreira DS, Loos RJF, et al. A longitudinal study of eating behaviours in childhood and later eating disorder behaviours and diagnoses. Br J Psychiatry. 2020;216(2):113–9.
pubmed: 31378207 doi: 10.1192/bjp.2019.174
Sanah Yousaf AB. UK Townsend Deprivation Scores from 2011 census data. 2017. http://s3-eu-west-1.amazonaws.com/statistics.digitalresources.jisc.ac.uk/dkan/files/Townsend_Deprivation_Scores/UK%20Townsend%20Deprivation%20Scores%20from%202011%20census%20data.pdf .
Rubin DB. Multiple imputation for nonresponse in surveys. New Jersey: Wiley; 1987. p. 258.
doi: 10.1002/9780470316696
Muthen LK, Muthen B. Mplus Version 8 user’s guide. Muthen & Muthen: Los Angeles; 2017. p. 944.
Computing. R: a language and environment for statistical computing. Vienna: R Core Team. https://www.yumpu.com/en/document/view/6853895/r-a-language-and-environment-for-statistical-computing .
Lundorff M, Bonanno GA, Johannsen M, O’Connor M. Are there gender differences in prolonged grief trajectories? A registry-sampled cohort study. J Psychiatr Res. 2020;129:168–75.
pubmed: 32739617 doi: 10.1016/j.jpsychires.2020.06.030
Mancini AD, Sinan B, Bonanno GA. Predictors of prolonged grief, resilience, and recovery among bereaved spouses. J Clin Psychol. 2015;71(12):1245–58.
pubmed: 26394308 doi: 10.1002/jclp.22224
Maccallum F, Galatzer-Levy IR, Bonanno GA. Trajectories of depression following spousal and child bereavement: a comparison of the heterogeneity in outcomes. J Psychiatr Res. 2015;69:72–9.
pubmed: 26343597 doi: 10.1016/j.jpsychires.2015.07.017
Gradus JL, Rosellini AJ, Szentkúti P, Horváth-Puhó E, Smith ML, Galatzer-Levy I, et al. Pre-trauma predictors of severe psychiatric comorbidity 5 years following traumatic experiences. Int J Epidemiol. 2022;51(5):1593–603.
pubmed: 35179599 pmcid: 9799210 doi: 10.1093/ije/dyac030
Jaffee SR, Caspi A, Moffitt TE, Polo-Tomás M, Taylor A. Individual, family, and neighborhood factors distinguish resilient from non-resilient maltreated children: a cumulative stressors model. Child Abuse Negl. 2007;31(3):231–53.
pubmed: 17395260 pmcid: 1978062 doi: 10.1016/j.chiabu.2006.03.011
De France K, Evans GW, Brody GH, Doan SN. Cost of resilience: Childhood poverty, mental health, and chronic physiological stress. Psychoneuroendocrinology. 2022;144: 105872.
pubmed: 35879139 doi: 10.1016/j.psyneuen.2022.105872
Miller GE, Yu T, Chen E, Brody GH. Self-control forecasts better psychosocial outcomes but faster epigenetic aging in low-SES youth. Proc Natl Acad Sci U S A. 2015;112(33):10325–30.
pubmed: 26170291 pmcid: 4547243 doi: 10.1073/pnas.1505063112

Auteurs

Ana Lucia Espinosa Dice (AL)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Xian Ye (X)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Stephanie Gyuri Kim (SG)

Human Development and Family Studies, University of Illinois Urbana-Champaign, Champaign, IL, USA.

Katie A McLaughlin (KA)

Department of Psychology, Harvard University, Cambridge, MA, USA.

Ananda B Amstadter (AB)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.

Henning Tiemeier (H)

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

Christy A Denckla (CA)

Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA. cdenckla@hsph.harvard.edu.

Classifications MeSH