Are perinatal measures associated with adolescent mental health? A retrospective exploration with original data from psychiatric cohorts

• Published in: BMC psychiatry Vol. 22; no. 1; pp. 1 - 668
• Main Authors: Basedow, Lukas A, Kuitunen-Paul, Sören, Roessner, Veit, Moll, Gunther H, Golub, Yulia, Eichler, Anna
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 28-10-2022; BioMed Central; BMC
• Subjects: Addiction; Adolescent psychopathology; Adolescents; Apgar; Apgar score; Biomarkers; Birth; Birth weight; Cesarean section; Child & adolescent mental health; Child & adolescent psychiatry; Comorbidity; Data collection; Drug use; Evaluation; Gestational age; Immune system; Influence; Intelligence; Intelligence tests; Medical records; Mental Disorders; Mental health; Perinatal; Pregnancy; Prenatal development; Psychiatric services; Psychiatry; Psychopathology; Questionnaires; Regression analysis; Substance use; Teenagers; Variables; Germany
• ISSN: 1471-244X; 1471-244X
• DOI: 10.1186/s12888-022-04302-6

Abstract
Background
Perinatal markers of prenatal development are associated with offspring psychiatric symptoms. However, there is little research investigating the specificity of perinatal markers for the development of specific disorders. This study aimed to explore if perinatal markers are specifically associated with adolescent substance use disorder (SUDs).
Methods
Adolescent participants from two study centers, one for SUD patients (
n
 = 196) and one for general psychopathology (
n
 = 307), were recruited for participation. Since the SUD participants presented with a number of comorbid disorders, we performed a 1-on-1 matching procedure, based on age, gender, and specific pattern of comorbid disorders. This procedure resulted in
n
 = 51 participants from each group. From all participants and their mothers we recorded perinatal markers (mode of birth, weeks of completed pregnancy, birth weight, Apgar score after 5 min) as well as intelligence quotient (IQ). The SUD sample additionally filled out the Youth Safe Report (YSR) as well as the PQ-16 and the DUDIT. We aimed to distinguish the two groups (SUD sample vs. general psychiatric sample) based on the perinatal variables via a logistic regression analysis. Additionally, linear regressions were performed for the total group and the subgroups to assess the relationship between perinatal variables and IQ, YSR, DUDIT and PQ-16.
Results
The perinatal variables were not able to predict group membership (
X
2
[4] = 4.77,
p
 = .312, Cox & Snell R² = 0.053). Odds ratios indicated a small increase in probability to belonging to the general psychiatric sample instead of the SUD sample if birth was completed via C-section. After Bonferroni-correction, the linear regression models showed no relation between perinatal markers and IQ (
p
 = .60, R² = 0.068), YSR (
p
 = .09, R² = 0.121), DUDIT (
p
 = .65, R² = 0.020), and PQ-16 (
p
 = .73, R² =0.021).
Conclusion
Perinatal markers were not able to distinguish SUD patients from patients with diverse psychopathologies. This pattern contradicts previous findings, perhaps because our chosen markers reflect general processes instead of specific mechanistic explanations. Future studies should take care to investigate specific prenatal markers and associate them with psychopathology on the symptom level.