Associations of parental and perinatal factors with subsequent risk of stress-related disorders: a nationwide cohort study with sibling comparison.


Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
03 2022
Historique:
received: 27 10 2020
accepted: 25 11 2021
revised: 16 11 2021
pubmed: 3 1 2022
medline: 18 5 2022
entrez: 2 1 2022
Statut: ppublish

Résumé

Little is known about the contribution of pregnancy-related parental and perinatal factors to the development of stress-related disorders. We aimed to investigate whether parental/perinatal adversities entail higher risks of stress-related disorders in the offspring, later in life, by accounting for genetic and early environmental factors. Based on the nationwide Swedish registers, we conducted a population-based cohort study of 3,435,747 singleton births (of which 2,554,235 were full siblings), born 1973-2008 and survived through the age of 5 years. Using both population- and sibling designs, we employed Cox regression to assess the association between parental and perinatal factors with subsequent risk of stress-related disorders. We identified 55,511 individuals diagnosed with stress-related disorders in the population analysis and 37,433 in the sibling analysis. In the population-based analysis we observed increased risks of stress-related disorders among offspring of maternal/paternal age <25, single mothers, parity ≥4, mothers with BMI ≥ 25 or maternal smoking in early pregnancy, gestational diabetes, and offspring born moderately preterm (GA 32-36 weeks), or small-for-gestational-age. These associations were significantly attenuated toward null in the sibling analysis. Cesarean-section was weakly associated with offspring stress-related disorders in population [hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.06-1.12] and sibling analyses (HR 1.10, 95% CI 1.02-1.20). Our findings suggest that most of the observed associations between parental and perinatal factors and risk of stress-related disorders in the population analysis are driven by shared familial environment or genetics, and underscore the importance of family designs in epidemiological studies on the etiology of psychiatric disorders.

Identifiants

pubmed: 34974524
doi: 10.1038/s41380-021-01406-5
pii: 10.1038/s41380-021-01406-5
pmc: PMC9095463
mid: EMS140193
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1712-1719

Subventions

Organisme : European Research Council
ID : 726413
Pays : International

Informations de copyright

© 2021. The Author(s).

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Auteurs

Yuchen Li (Y)

Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Arvid Sjölander (A)

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

Huan Song (H)

West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.

Sven Cnattingius (S)

Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.

Fang Fang (F)

Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Qian Yang (Q)

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

Lorena Fernández de la Cruz (L)

Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

David Mataix-Cols (D)

Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

Gustaf Brander (G)

Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.

Jiong Li (J)

Department of Clinical Medicine-Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark.

Wei Zhang (W)

Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.

Katja Fall (K)

Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden.

Brian M D'Onofrio (BM)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA.

Catarina Almqvist (C)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.

Paul Lichtenstein (P)

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

Unnur A Valdimarsdóttir (UA)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. unnurav@hi.is.
Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland. unnurav@hi.is.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. unnurav@hi.is.

Donghao Lu (D)

West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. donghao.lu@ki.se.
Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. donghao.lu@ki.se.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. donghao.lu@ki.se.

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