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


Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
05 2022
Historique:
pubmed: 7 10 2020
medline: 3 6 2022
entrez: 6 10 2020
Statut: ppublish

Résumé

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

Sections du résumé

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.

Identifiants

pubmed: 33019954
doi: 10.1017/S0033291720002974
pii: S0033291720002974
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1255-1267

Subventions

Organisme : Medical Research Council
ID : MR/R004889/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : MRF
ID : MRF_MRF-058-0002-RG-MARS
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 217065/Z/19/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : CIHR
ID : FDN148374
Pays : Canada
Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Wellcome Trust
ID : GR067797MA
Pays : United Kingdom

Auteurs

Massimiliano Orri (M)

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 (AE)

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 (B)

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 (G)

Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.

David Gunnell (D)

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 (J)

Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK.

Richard E Tremblay (RE)

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 (M)

School of Psychology, Université Laval, Québec City, Québec, Canada (Boivin).

Anne-Monique Nuyt (AM)

Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada (Nuyt).

Sylvana M Côté (SM)

Department of Social and Preventive Medicine, University of Montreal, Montreal, QC, Canada (Côté).

Marie-Claude Geoffroy (MC)

Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada (Geoffroy).

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Classifications MeSH