Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-23T08:32:08.734Z Has data issue: false hasContentIssue false
  • English
  • Français

Perinatal adversity profiles and suicide attempt in adolescence and young adulthood: longitudinal analyses from two 20-year birth cohort studies

Published online by Cambridge University Press:  06 October 2020

Massimiliano Orri Open the ORCID record for Massimiliano Orri [Opens in a new window] ,
Abigail E. Russell ,
Becky Mars ,
Gustavo Turecki ,
David Gunnell ,
Jon Heron ,
Richard E. Tremblay ,
Michel Boivin ,
Anne-Monique Nuyt  and
Sylvana M. Côté
...Show all authors
Massimiliano Orri
Affiliation:
Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Bordeaux Population Health Research Centre, Inserm U1219, University of Bordeaux, Bordeaux, France
Abigail E. Russell
Affiliation:
Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK National Institute of Health Research Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK (Mars, Gunnell)
Becky Mars
Affiliation:
Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK National Institute of Health Research Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK (Mars, Gunnell)
Gustavo Turecki
Affiliation:
Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
David Gunnell
Affiliation:
Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK National Institute of Health Research Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK (Mars, Gunnell)
Jon Heron
Affiliation:
Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
Richard E. Tremblay
Affiliation:
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland (Tremblay) Departments of Pediatrics and Psychology, University of Montréal, Montreal, QC, Canada (Tremblay)
Michel Boivin
Affiliation:
School of Psychology, Université Laval, Québec City, Québec, Canada (Boivin)
Anne-Monique Nuyt
Affiliation:
Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada (Nuyt)
Sylvana M. Côté
Affiliation:
Department of Social and Preventive Medicine, University of Montreal, Montreal, QC, Canada (Côté)
Marie-Claude Geoffroy*
Affiliation:
Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada (Geoffroy)
*
Author for correspondence: Marie-Claude Geoffroy, E-mail: marie-claude.geoffroy@mcgill.ca
Get access Rights & Permissions [Opens in a new window]

Abstract

Background

We aimed to identify groups of children presenting distinct perinatal adversity profiles and test the association between profiles and later risk of suicide attempt.

Methods

Data were from the Québec Longitudinal Study of Child Development (QLSCD, N = 1623), and the Avon Longitudinal Study of Parents and Children (ALSPAC, N = 5734). Exposures to 32 perinatal adversities (e.g. fetal, obstetric, psychosocial, and parental psychopathology) were modeled using latent class analysis, and associations with a self-reported suicide attempt by age 20 were investigated with logistic regression. We investigated to what extent childhood emotional and behavioral problems, victimization, and cognition explained the associations.

Results

In both cohorts, we identified five profiles: No perinatal risk, Poor fetal growth, Socioeconomic adversity, Delivery complications, Parental mental health problems (ALSPAC only). Compared to children with No perinatal risk, children in the Poor fetal growth (pooled estimate QLSCD-ALSPAC, OR 1.89, 95% CI 1.04–3.44), Socioeconomic adversity (pooled-OR 1.42, 95% CI 1.08–1.85), and Parental mental health problems (OR 1.74, 95% CI 1.27–2.40), but not Delivery complications, profiles were more likely to attempt suicide. The proportion of this effect mediated by the putative mediators was larger for the Socioeconomic adversity profile compared to the others.

Conclusions

Perinatal adversities associated with suicide attempt cluster in distinct profiles. Suicide prevention may begin early in life and requires a multidisciplinary approach targeting a constellation of factors from different domains (psychiatric, obstetric, socioeconomic), rather than a single factor, to effectively reduce suicide vulnerability. The way these factors cluster together also determined the pathways leading to a suicide attempt, which can guide decision-making on personalized suicide prevention strategies.

Keywords

ALSPAClatent class analysisperinatal adversityQLSCDsuicide attempt
Type
Original Article
Information
Psychological Medicine , Volume 52 , Issue 7 , May 2022 , pp. 1255 - 1267
Check for updates
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aizer, A., & Currie, J. (2014). The intergenerational transmission of inequality: Maternal disadvantage and health at birth. Science, 344(6186), 856–861. https://doi.org/10.1126/science.1251872.CrossRefGoogle ScholarPubMed
Arsenault-Lapierre, G., Kim, C., & Turecki, G. (2004). Psychiatric diagnoses in 3275 suicides: A meta-analysis. BMC Psychiatry, 4, 37. https://doi.org/10.1186/1471-244X-4-37.CrossRefGoogle ScholarPubMed
Bostwick, J. M., Pabbati, C., Geske, J. R., & McKean, A. J. (2016). Suicide attempt as a risk factor for completed suicide: Even more lethal than we knew. American Journal of Psychiatry, 173(11), 1094–1100. https://doi.org/10.1176/appi.ajp.2016.15070854.CrossRefGoogle ScholarPubMed
Boyd, A., Golding, J., Macleod, J., Lawlor, D. A., Fraser, A., Henderson, J., … Davey Smith, G. (2013). Cohort profile: The ‘children of the 90s’--the index offspring of the Avon longitudinal study of parents and children. International Journal of Epidemiology, 42(1), 111–127. https://doi.org/10.1093/ije/dys064.CrossRefGoogle ScholarPubMed
Cha, C. B., Franz, P. J., Guzmán, E., Glenn, C. R., Kleiman, E. M., & Nock, M. K. (ed). (2018). Annual research review: Suicide among youth – epidemiology, (potential) etiology, and treatment. Journal of Child Psychology and Psychiatry, 59(4), 460–482. https://doi.org/10.1111/jcpp.12831.CrossRefGoogle Scholar
Class, Q. A., Rickert, M. E., Larsson, H., Lichtenstein, P., & D'Onofrio, B. M. (2014). Fetal growth and psychiatric and socioeconomic problems: Population-based sibling comparison. The British Journal of Psychiatry: The Journal of Mental Science, 205(5), 355–361. https://doi.org/10.1192/bjp.bp.113.143693.CrossRefGoogle ScholarPubMed
Cnattingius, S., Svensson, T., Granath, F., & Iliadou, A. (2011). Maternal smoking during pregnancy and risks of suicidal acts in young offspring. European Journal of Epidemiology, 26(6), 485–492. https://doi.org/10.1007/s10654-011-9556-7.CrossRefGoogle ScholarPubMed
D'Onofrio, B. M., Class, Q. A., Rickert, M. E., Larsson, H., Långström, N., & Lichtenstein, P. (2013). Preterm birth and mortality and morbidity: A population-based quasi-experimental study. JAMA Psychiatry, 70(11), 1231–1240. https://doi.org/10.1001/jamapsychiatry.2013.2107.CrossRefGoogle ScholarPubMed
D'Onofrio, B. M., Rickert, M. E., Frans, E., Kuja-Halkola, R., Almqvist, C., Sjölander, A., … Lichtenstein, P. (2014). Paternal age at childbearing and offspring psychiatric and academic morbidity. JAMA Psychiatry, 71(4), 432–438. https://doi.org/10.1001/jamapsychiatry.2013.4525.CrossRefGoogle ScholarPubMed
Dunn, L., Thériault-Whalen, C., & Dunn, L. (1993). EVIP: Échelle de vocabulaire en images peabody. Toronto, Canada: Psycan.Google Scholar
Flensborg-Madsen, T., & Mortensen, E. L. (2017). Birth weight and intelligence in young adulthood and midlife. Pediatrics, 139(6), e20163161. https://doi.org/10.1542/peds.2016-3161.CrossRefGoogle ScholarPubMed
Fraser, A., Macdonald-Wallis, C., Tilling, K., Boyd, A., Golding, J., Davey Smith, G., … Lawlor, D. A. (2013). Cohort profile: The Avon longitudinal study of parents and children: ALSPAC mothers cohort. International Journal of Epidemiology, 42(1), 97–110. https://doi.org/10.1093/ije/dys066.CrossRefGoogle ScholarPubMed
Gale, C. R., & Martyn, C. N. (2004). Birth weight and later risk of depression in a national birth cohort. The British Journal of Psychiatry: The Journal of Mental Science, 184, 28–33.CrossRefGoogle Scholar
Geoffroy, M-C, Boivin, M., Arseneault, L., Renaud, J., Perret, L. C., Turecki, G., … Côté, S. M. (2018). Childhood trajectories of peer victimization and prediction of mental health outcomes in midadolescence: A longitudinal population-based study. Canadian Medical Association Journal, 190(2), E37–E43. https://doi.org/10.1503/cmaj.170219.CrossRefGoogle ScholarPubMed
Geoffroy, M-C, Boivin, M., Arseneault, L., Turecki, G., Vitaro, F., Brendgen, M., … Côté, S. M. (2016). Associations between peer victimization and suicidal ideation and suicide attempt during adolescence: Results from a prospective population-based birth cohort. Journal of the American Academy of Child & Adolescent Psychiatry, 55(2), 99–105. https://doi.org/10.1016/j.jaac.2015.11.010.CrossRefGoogle ScholarPubMed
Geoffroy, M.-C., Gunnell, D., & Power, C. (2014). Prenatal and childhood antecedents of suicide: 50-year follow-up of the 1958 British birth cohort study. Psychological Medicine, 44(6), 1245–1256. https://doi.org/10.1017/S003329171300189X.CrossRefGoogle ScholarPubMed
Geoffroy, M-C, Orri, M., Girard, A., Perret, L. C., & Turecki, G. (2020). Trajectories of suicide attempts from early adolescence to emerging adulthood: Prospective 11-year follow-up of a Canadian cohort. Psychological Medicine, 1–11. https://doi.org/10.1017/S0033291720000732.Google ScholarPubMed
Gobbi, G., Atkin, T., Zytynski, T., Wang, S., Askari, S., Boruff, J., … Mayo, N. (2019). Association of Cannabis Use in adolescence and risk of depression, anxiety, and suicidality in young adulthood: A systematic review and meta-analysis. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2018.4500.CrossRefGoogle ScholarPubMed
Goldman-Mellor, S. J., Caspi, A., Harrington, H., Hogan, S., Nada-Raja, S., Poulton, R., & Moffitt, T. E. (2014). Suicide attempt in young people: A signal for long-term health care and social needs. JAMA Psychiatry, 71(2), 119–127. https://doi.org/10.1001/jamapsychiatry.2013.2803.CrossRefGoogle ScholarPubMed
Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38(5), 581–586. https://doi.org/10.1111/j.1469-7610.1997.tb01545.x.CrossRefGoogle ScholarPubMed
Grote, N. K., Bridge, J. A., Gavin, A. R., Melville, J. L., Iyengar, S., & Katon, W. J. (2010). A meta-analysis of depression during pregnancy and the risk of preterm birth, low birth weight, and intrauterine growth restriction. Archives of General Psychiatry, 67(10), 1012–1024. https://doi.org/10.1001/archgenpsychiatry.2010.111.CrossRefGoogle ScholarPubMed
Gunnell, D. (2015). A population health perspective on suicide research and prevention. Crisis, 36(3), 155–160. https://doi.org/10.1027/0227-5910/a000317.CrossRefGoogle ScholarPubMed
Hawton, K., & O'Connor, R. C. (2012). Self-harm in adolescence and future mental health. The Lancet, 379(9812), 198–199. https://doi.org/10.1016/S0140-6736(11)61260-9.CrossRefGoogle ScholarPubMed
Ladd, G. W., & Kochenderfer-Ladd, B. (2002). Identifying victims of peer aggression from early to middle childhood: Analysis of cross-informant data for concordance, estimation of relational adjustment, prevalence of victimization, and characteristics of identified victims. Psychological Assessment, 14(1), 74–96. https://doi.org/10.1037/1040-3590.14.1.74.CrossRefGoogle ScholarPubMed
Lanza, S. T., & Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14(2), 157–168. https://doi.org/10.1007/s11121-011-0201-1.CrossRefGoogle ScholarPubMed
Lim, K. X., Liu, C.-Y., Schoeler, T., Cecil, C. A. M., Barker, E. D., Viding, E., … Pingault, J.-B. (2018). The role of birth weight on the causal pathway to child and adolescent ADHD symptomatology: A population-based twin differences longitudinal design. Journal of Child Psychology and Psychiatry, 59(10), 1036–1043. https://doi.org/10.1111/jcpp.12949.CrossRefGoogle ScholarPubMed
Mathewson, K. J., Chow, C. H. T., Dobson, K. G., Pope, E. I., Schmidt, L. A., & Van Lieshout, R. J. (2017). Mental health of extremely low birth weight survivors: A systematic review and meta-analysis. Psychological Bulletin, 143(4), 347–383. https://doi.org/10.1037/bul0000091.CrossRefGoogle ScholarPubMed
Mittendorfer-Rutz, E., Rasmussen, F., & Wasserman, D. (2004). Restricted fetal growth and adverse maternal psychosocial and socioeconomic conditions as risk factors for suicidal behaviour of offspring: A cohort study. The Lancet, 364(9440), 1135–1140. https://doi.org/10.1016/S0140-6736(04)17099-2.CrossRefGoogle ScholarPubMed
Murray, A. L., Eisner, M., & Ribeaud, D. (2019). Can the social behavior questionnaire help meet the need for dimensional, transdiagnostic measures of childhood and adolescent psychopathology? European Journal of Psychological Assessment, 35, 674–679. https://doi.org/10.1027/1015-5759/a000442.CrossRefGoogle Scholar
Muthén, L., & Muthén, B. (1998-2017). Mplus user's guide. Seventh Edition. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nivard, M. G., Gage, S. H., Hottenga, J. J., van Beijsterveldt, C. E. M., Abdellaoui, A., Bartels, M., … Middeldorp, C. M. (2017). Genetic overlap between schizophrenia and developmental psychopathology: Longitudinal and multivariate polygenic risk prediction of common psychiatric traits during development. Schizophrenia Bulletin, 43(6), 1197–1207. https://doi.org/10.1093/schbul/sbx031.CrossRefGoogle ScholarPubMed
Nock, M. K., Borges, G., Bromet, E. J., Cha, C. B., Kessler, R. C., & Lee, S. (2008). Suicide and suicidal behavior. Epidemiologic Reviews, 30, 133–154. https://doi.org/10.1093/epirev/mxn002.CrossRefGoogle ScholarPubMed
Nock, M. K., Green, J. G., Hwang, I., McLaughlin, K. A., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2013). Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents: Results from the National Comorbidity Survey replication adolescent supplement. JAMA Psychiatry, 70(3), 300–310. https://doi.org/10.1001/2013.jamapsychiatry.55.CrossRefGoogle ScholarPubMed
Nordsletten, A. E., Larsson, H., Crowley, J. J., Almqvist, C., Lichtenstein, P., & Mataix-Cols, D. (2016). Patterns of nonrandom mating within and across 11 Major psychiatric disorders. JAMA Psychiatry, 73(4), 354–361. https://doi.org/10.1001/jamapsychiatry.2015.3192.CrossRefGoogle ScholarPubMed
Northstone, K., Lewcock, M., Groom, A., Boyd, A., Macleod, J., Timpson, N., & Wells, N. (2019). The avon longitudinal study of parents and children (ALSPAC): An update on the enrolled sample of index children in 2019. Wellcome Open Research, 4, 51. https://doi.org/10.12688/wellcomeopenres.15132.1.CrossRefGoogle ScholarPubMed
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569. https://doi.org/10.1080/10705510701575396.CrossRefGoogle Scholar
O'Donnell, K. J., & Meaney, M. J. (2017). Fetal origins of mental health: The developmental origins of health and disease hypothesis. The American Journal of Psychiatry, 174(4), 319–328. https://doi.org/10.1176/appi.ajp.2016.16020138.CrossRefGoogle ScholarPubMed
Orri, M., Galera, C., Turecki, G., Forte, A., Renaud, J., Boivin, M., … Geoffroy, M.-C. (2018a). Association of childhood irritability and depressive/anxious mood profiles with adolescent suicidal ideation and attempts. JAMA Psychiatry, 75(5), 465–473. doi:10.1001/jamapsychiatry.2018.0174.CrossRefGoogle Scholar
Orri, M., Gunnell, D., Richard-Devantoy, S., Bolanis, D., Boruff, J., Turecki, G., & Geoffroy, M.-C. (2019). In-utero and perinatal influences on suicide risk: A systematic review and meta-analysis. The Lancet Psychiatry, 6(6), 477–492. https://doi.org/10.1016/S2215-0366(19)30077-X.CrossRefGoogle ScholarPubMed
Orri, M., Perret, L. C., Turecki, G., & Geoffroy, M.-C. (2018b). Association between irritability and suicide-related outcomes across the life-course. Systematic review of both community and clinical studies. Journal of Affective Disorders, 239, 220–233. https://doi.org/10.1016/j.jad.2018.07.010.CrossRefGoogle Scholar
Orri, M., Pingault, J.-B., Rouquette, A., Lalanne, C., Falissard, B., Herba, C., … Berthoz, S. (2017). Identifying affective personality profiles: A latent profile analysis of the affective neuroscience personality scales. Scientific Reports, 7(1), 4548. https://doi.org/10.1038/s41598-017-04738-x.CrossRefGoogle ScholarPubMed
Orri, M., Scardena, S., Perret, L. C., Bolanis, D., Temcheff, C., Séguin, J. R., … Geoffroy, M.-C. (2020a). Mental health problems and risk of suicidal ideation and attempts in adolescents. Pediatrics, 146(1), e20193823.CrossRefGoogle Scholar
Orri, M., Séguin, J. R., Castellanos-Ryan, N., Tremblay, R. E., Côté, S. M., Turecki, G., & Geoffroy, M.-C. (2020b). A genetically informed study on the association of cannabis, alcohol, and tobacco smoking with suicide attempt. Molecular Psychiatry, 1–10. https://doi.org/10.1038/s41380-020-0785-6.Google Scholar
Parker, J. D., Schoendorf, K. C., & Kiely, J. L. (1994). Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States. Annals of Epidemiology, 4(4), 271–278. https://doi.org/10.1016/1047-2797(94)90082-5.CrossRefGoogle ScholarPubMed
Poulton, R., Caspi, A., Milne, B. J., Thomson, W. M., Taylor, A., Sears, M. R., & Moffitt, T. E. (2002). Association between children's experience of socioeconomic disadvantage and adult health: A life-course study. Lancet, 360(9346), 1640–1645. https://doi.org/10.1016/S0140-6736(02)11602-3.CrossRefGoogle ScholarPubMed
Reinherz, H. Z., Tanner, J. L., Berger, S. R., Beardslee, W. R., & Fitzmaurice, G. M. (2006). Adolescent suicidal ideation as predictive of psychopathology, suicidal behavior, and compromised functioning at age 30. The American Journal of Psychiatry, 163(7), 1226–1232. https://doi.org/10.1176/appi.ajp.163.7.1226.CrossRefGoogle ScholarPubMed
Richard-Devantoy, S., Orri, M., Bertrand, J.-A., Greenway, K. T., Turecki, G., Gunnell, D., … Geoffroy, M.-C. (2019). Childhood cognitive skill trajectories and suicide by mid-adulthood: An investigation of the 1958 British birth cohort. Psychological Medicine, 1–8. https://doi.org/10.1017/S0033291719003143.Google ScholarPubMed
Turecki, G. (2005). Dissecting the suicide phenotype: The role of impulsive-aggressive behaviours. Journal of Psychiatry & Neuroscience: JPN, 30(6), 398–408.Google ScholarPubMed
Turecki, G., & Brent, D. A. (2016). Suicide and suicidal behaviour. Lancet, 387(10024), 1227–1239. https://doi.org/10.1016/S0140-6736(15)00234-2.CrossRefGoogle ScholarPubMed
Vliegen, N., Casalin, S., & Luyten, P. (2014). The course of postpartum depression: A review of longitudinal studies. Harvard Review of Psychiatry, 22(1), 1–22. https://doi.org/10.1097/HRP.0000000000000013.CrossRefGoogle ScholarPubMed
Walhovd, K. B., Fjell, A. M., Brown, T. T., Kuperman, J. M., Chung, Y., & Hagler, D. J., … For the Pediatric Imaging, N. (2012). Long-term influence of normal variation in neonatal characteristics on human brain development. Proceedings of the National Academy of Sciences, 109(45), 20089–20094. https://doi.org/10.1073/pnas.1208180109.CrossRefGoogle ScholarPubMed
Wechsler, D. (1949). Wechsler intelligence scale for children. San Antonio, TX, US: Psychological Corporation.Google Scholar
Willms, D., & Shields, M. (1996). A measure of socioeconomic status for the National Longitudinal Study of Children (Vol.9607). Fredericton. New Brunswick: Atlantic Center forPolicy Research in Education, University of New Brunswickand Statistics Canada.Google Scholar
Wolke, D., Woods, S., Bloomfield, L., & Karstadt, L. (2000). The association between direct and relational bullying and behaviour problems among primary school children. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 41(8), 989–1002.CrossRefGoogle ScholarPubMed
Supplementary material: File

Orri et al. supplementary material

Orri et al. supplementary material

Download Orri et al. supplementary material(File)
File 67.3 KB