General and age-specific fertility rates in non-affective psychosis: population-based analysis of Scottish women.


Journal

Social psychiatry and psychiatric epidemiology
ISSN: 1433-9285
Titre abrégé: Soc Psychiatry Psychiatr Epidemiol
Pays: Germany
ID NLM: 8804358

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 06 08 2021
accepted: 18 05 2022
pubmed: 2 6 2022
medline: 20 1 2023
entrez: 1 6 2022
Statut: ppublish

Résumé

Women diagnosed with non-affective psychosis have a lower general fertility rate (GFR) and age-specific fertility rate (ASFR) than women in the general population. Contemporary data on GFR in this group remain limited, despite substantive changes in prescribing and management. We calculated contemporary estimates of the GFR and ASFR for women diagnosed with non-affective psychosis compared with the general population of women without this diagnosis. A population-based design combined routinely collected historical maternity and psychiatric data from two representative areas of Scotland. Women were included from the NHS Grampian or Greater Glasgow and Clyde areas and were aged 15-44 between 2005 and 2013 inclusive. The 'exposed' group had a diagnosis of non-affective psychosis (ICD-10 F20-F29) and was compared to the general population of 'unexposed' women in the same geographical areas. Annual GFR between 2005 and 2013 for women with non-affective psychosis varied from 9.6 to 21.3 live births/1000 women per year in the exposed cohort and 52.7 to 57.8 live births/1000 women per year in the unexposed cohort, a rate ratio (RR) of 0.28 [p < 0.001; 95% CI (0.24, 0.32)]. ASFR for all 5-year age groups was lower in the exposed cohort than amongst unexposed women. We highlight continued low fertility rates in women with a diagnosis of non-affective psychosis, despite widespread availability of prolactin-sparing atypical antipsychotics. Accurate estimation of fertility rates remains crucial in developing needs-matched perinatal care for these women. Methodological improvements using routine datasets to investigate perinatal mental health are also urgently needed.

Identifiants

pubmed: 35648175
doi: 10.1007/s00127-022-02313-y
pii: 10.1007/s00127-022-02313-y
pmc: PMC9845143
doi:

Substances chimiques

Antipsychotic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105-112

Subventions

Organisme : Medical Research Council
ID : MR/S035818/1
Pays : United Kingdom
Organisme : NHS Research Scotland
ID : NHS Research Scotland Career Research Fellowship
Organisme : Chief Scientist Office
ID : CGA/19/13
Pays : United Kingdom
Organisme : Chief Scientist Office, Scottish Government Health and Social Care Directorate
ID : Grant CZH/4/951
Organisme : Medical Research Council
ID : MC_PC_MR/R01910X/1
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

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Auteurs

Angus MacBeth (A)

University of Edinburgh, Edinburgh, Scotland, UK. angus.macbeth@ed.ac.uk.
School of Health in Social Science, The University of Edinburgh, Rm 2.11, Doorway 6, Medical Quad, Teviot Place, Edinburgh, EH8 9AG, Scotland, UK. angus.macbeth@ed.ac.uk.

Paula McSkimming (P)

Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.

Sohinee Bhattacharya (S)

University of Aberdeen, Aberdeen, Scotland, UK.

John Park (J)

NHS Greater Glasgow and Clyde, Glasgow, Scotland, UK.

Andrew Gumley (A)

Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.

David St Clair (D)

University of Aberdeen, Aberdeen, Scotland, UK.

Sarah J E Barry (SJE)

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, Scotland, UK.

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