M56. ASSORTATIVE MATING IN SCHIZOPHRENIA AND BIPOLAR DISORDER: A NATIONWIDE COHORT STUDY EXPLORING THE CHARACTERISTICS OF INDIVIDUALS WHO HAVE CHILDREN BY PARTNERS WITH SCHIZOPHRENIA OR BIPOLAR DISORDER
Notice bibliographique
Résumé
Abstract Background Assortative mating is common in patients with mental disorders, both for specific disorders and across the spectrum of mental disorders. Assortative mating may play a key role in mental disorders because the person with the close relation to an individual with a mental disorder is also likely to have mental disorders, poorer cognitive abilities or lower social functioning, which may further intensify problems for both partners and their offspring. When one parent is ill, the care for the child will often depend on the other parent. Thus, assortative mating will most likely contribute to outcomes in the offspring. Therefore, the objective of this study was to investigate possible diagnoses of a mental illness, cognitive ability and social functioning in individuals who have biological children by partners with schizophrenia or bipolar disorder. Further, we also aimed to explore differences in polygenic risk scores derived from genome-wide association studies for schizophrenia, bipolar disorder, and depression. Methods This study was based on data from The Danish High Risk and Resilience Study - VIA7, a population-based cohort study conducted in Denmark between 2013 and 2016. Subjects were identified through the Danish Civil registration System and the Danish Psychiatric Central Research register. The VIA7 cohort consists of 522 children aged 7 years with parents diagnosed with schizophrenia or bipolar disorder in the Danish registries (index parents) and their partners (non-index parents). This study focuses on the non-index parents (N = 492) without schizophrenia or bipolar disorder in the Danish registries. All participants were interviewed with a diagnostic interview (SCAN 2.0). Main outcomes were intelligence, processing speed, verbal working memory, and social functioning. A linear mixed effect model was applied for each of the outcomes, including parent status (index parent or non-index parent), group (schizophrenia, bipolar disorder, and control), and interaction between parent status and group. Results Non-index parents having children by a partner with schizophrenia or bipolar disorder more often fulfilled the criteria for a mental disorder compared to non-index parents in the control group. Non-index parents having children by a partner with schizophrenia or bipolar disorder had lower levels of social functioning compared to non-index parents in the control group and performed poorer on intelligence and processing speed. Discussion Individuals who have children by partners with schizophrenia or bipolar disorder are more likely to have a mental disorder and to have lower levels of cognitive and social functioning compared to individuals who have children by partners without schizophrenia or bipolar disorder. Assortative mating may have important implications for our understanding of the familial transmission of these disorders. The findings presented in this study should be considered in future genetic research in psychiatry, specifically in the investigation of potential risk factors for children with a parent with schizophrenia or bipolar disorder.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».