Evidence map›Paper›PMID 40457330›Full record

Observational studyBMC psychiatry2025

Sleep disturbance as a marker of postpartum psychosis risk: a prospective actigraphy study.

Chiara Petrosellini, Sofia H Eriksson, Nicholas Meyer, Edwin Antony, Olivia Protti, Lucinda Donaldson, Vincent van Hees, Aviva Petrie, Andrew McQuillin, Dimitrios Siassakos

Abstract readObservational Study
In one paragraph

Observational study in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Chiara PetroselliniElizabeth Garrett Anderson Institute for Women's Health, University College London, 84-86 Chenies Mews, London, WC13 6HU, UK. chiara.petrosellini.22@ucl.ac.uk.
Sofia H ErikssonDepartment of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, UK.
Nicholas MeyerInsomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals NHS Foundation Trust, London, UK.
Edwin AntonyNational Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.
Olivia ProttiElizabeth Garrett Anderson Institute for Women's Health, University College London, 84-86 Chenies Mews, London, WC13 6HU, UK.
Lucinda DonaldsonSpecialist Perinatal Mental Health Service, North London NHS Foundation Trust, London, UK.
Vincent van Hees, Accelting, Almere, The Netherlands.
Aviva PetrieBiostatistics Unit, Eastman Dental Institute, University College London, London, UK.
Andrew McQuillinDivision of Psychiatry, University College London, London, UK.
Dimitrios SiassakosElizabeth Garrett Anderson Institute for Women's Health, University College London, 84-86 Chenies Mews, London, WC13 6HU, UK.

Funding

Elizabeth Garrett Anderson Hospital Charity 2023/17Rosetrees Trust Seedcorn2023\100148
6 · The paper itself

Abstract

backgroundPostpartum Psychosis (PP) is a severe perinatal psychiatric disorder affecting 1-2 in 1000 individuals following childbirth. Most episodes emerge within the first two weeks postpartum and commonly present with mania and decreased need for sleep. The postnatal period is a time of profound sleep disruption and sleep deprivation is a known trigger for mania and psychosis. Despite growing recognition of the role of sleep in the onset and progression of PP, this relationship remains poorly understood. Existing research is largely retrospective, relies on self-reported data and primarily focuses on women with pre-existing bipolar disorder. This prospective study will integrate subjective and objective sleep measures to investigate the relationship between sleep disturbance and postnatal mania. We aim to establish whether sleep patterns in late pregnancy or the early postpartum period can predict mania as a marker of PP.

methodsThis prospective observational cohort study is recruiting pregnant women and will follow participants from the late third trimester until two weeks postpartum. We aim to recruit 100 participants, including individuals with and without psychiatric illness, to ensure broader applicability of the findings and capture the full spectrum of postnatal mania risk. Participants will wear a wrist accelerometer continuously during this period to monitor rest-activity patterns and infer objective sleep parameters including sleep duration, efficiency and fragmentation. Self-reported sleep quality and mood symptoms will be measured using the Pittsburgh Sleep Quality Index (PSQI), Altman Self-Rating Mania Scale (ASRM) and Edinburgh Postnatal Depression Scale (PSQI) at baseline and at days 3-5 and 12-14 postpartum. Actigraphy data will be analysed using the GGIR package in R. Associations between sleep measures and ASRM scores will be assessed using Pearson and Spearman correlation coefficients. DISCUSSION: This study is the first to prospectively investigate sleep and postnatal mania risk in a cohort including both high- and low-risk individuals. By integrating actigraphy with validated self-report measures, it aims to identify rest-activity patterns that may serve as early indicators of PP. Early recognition of sleep disturbances associated with postnatal mania could inform targeted interventions, improving clinical outcomes for women and families affected by PP.

Indexed as

ManiaPsychotic DisordersPuerperal DisordersSleep Wake DisordersActigraphyAdultBipolar DisorderFemaleHumansPostpartum PeriodPregnancyProspective StudiesYoung AdultActigraphyBipolar disorderManiaPostpartum psychosisSleep disturbanceSleep efficiencySleep fragmentationSleep quality

Identifiers

PMID40457330
PMCPMC12131421

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.