One versus two biological parents with mental disorders: Relationship to educational attainment in the next generation.

Anxiety Autism OCD assortative mating depression educational attainment intergenerational non-random mating psychopathology schizophrenia substance use

Journal

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

Informations de publication

Date de publication:
Nov 2023
Historique:
pubmed: 23 12 2022
medline: 23 12 2022
entrez: 22 12 2022
Statut: ppublish

Résumé

Both maternal and, separately, paternal mental illness are associated with diminished academic attainment among children. However, the differential impacts of diagnostic type and degree of parental burden (e.g. one v. both parents affected) on these functional outcomes are unknown. Using the Swedish national patient (NPR) and multi-generation (MGR) registers, 2 226 451 children (1 290 157 parental pairs), born 1 January 1973-31 December 1997, were followed through 31 December 2013. Diagnostic status of all cohort members was defined for eleven psychiatric disorders, and families classed by exposure: (1) parents affected with any disorder, (2) parents affected with a disorder group (e.g. neuropsychiatric disorders), and (3) parents affected with a specific disorder (e.g. ADHD). Pairs were further defined as 'unaffected,' 'single-affected,', or 'dual-affected.' Among offspring, the study evaluated fulfillment of four academic milestones, from compulsory (primary) school through University (college). Sensitivity analyses considered the impact of child's own mental health, as well as parental education, on main effects. Marked reductions in the odds of achievement were observed, emerging at the earliest levels of schooling for both single-affected [adjusted odds ratio (aOR), 0.50; 95% CI 0.49-0.51] and dual-affected (aOR 0.29, 95% CI 0.28-0.30) pairs and persisting thereafter [aOR range (single), 0.52-0.65; aOR range (dual), 0.30-0.40]. This pattern was repeated for analyses within diagnosis/diagnostic group. Main results were robust to adjustment for offspring mental health and parent education level. Parental mental illness is associated with profound reductions in educational attainment in the subsequent generation, with children from dual-affected families at uniquely high risk.

Sections du résumé

BACKGROUND BACKGROUND
Both maternal and, separately, paternal mental illness are associated with diminished academic attainment among children. However, the differential impacts of diagnostic type and degree of parental burden (e.g. one v. both parents affected) on these functional outcomes are unknown.
METHODS METHODS
Using the Swedish national patient (NPR) and multi-generation (MGR) registers, 2 226 451 children (1 290 157 parental pairs), born 1 January 1973-31 December 1997, were followed through 31 December 2013. Diagnostic status of all cohort members was defined for eleven psychiatric disorders, and families classed by exposure: (1) parents affected with any disorder, (2) parents affected with a disorder group (e.g. neuropsychiatric disorders), and (3) parents affected with a specific disorder (e.g. ADHD). Pairs were further defined as 'unaffected,' 'single-affected,', or 'dual-affected.' Among offspring, the study evaluated fulfillment of four academic milestones, from compulsory (primary) school through University (college). Sensitivity analyses considered the impact of child's own mental health, as well as parental education, on main effects.
RESULTS RESULTS
Marked reductions in the odds of achievement were observed, emerging at the earliest levels of schooling for both single-affected [adjusted odds ratio (aOR), 0.50; 95% CI 0.49-0.51] and dual-affected (aOR 0.29, 95% CI 0.28-0.30) pairs and persisting thereafter [aOR range (single), 0.52-0.65; aOR range (dual), 0.30-0.40]. This pattern was repeated for analyses within diagnosis/diagnostic group. Main results were robust to adjustment for offspring mental health and parent education level.
CONCLUSIONS CONCLUSIONS
Parental mental illness is associated with profound reductions in educational attainment in the subsequent generation, with children from dual-affected families at uniquely high risk.

Identifiants

pubmed: 36545765
doi: 10.1017/S0033291722003506
pii: S0033291722003506
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7025-7041

Subventions

Organisme : NICHD NIH HHS
ID : R03 HD109468
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH112963
Pays : United States

Auteurs

Anna Sidorchuk (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

Gustaf Brander (G)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Department of Medical Biochemistry and Microbiology, Uppsala Universitet, Uppsala, Sweden.

Ana Pérez-Vigil (A)

Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain.

James J Crowley (JJ)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Henrik Larsson (H)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
School of Medical Sciences, Örebro Universitet, Örebro, Sweden.

Paul Lichtenstein (P)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

David Mataix-Cols (D)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

Ashley E Nordsletten (AE)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH