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Record W4364367860 · doi:10.3389/fpsyt.2023.1188080

Editorial: Neurological and clinical aspects of perinatal mental health

2023· editorial· en· W4364367860 on OpenAlexaboutno aff
Tom Kingstone, Karen M. Tabb, Yuan‐Pang Wang

Bibliographic record

VenueFrontiers in Psychiatry · 2023
Typeeditorial
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesOffice of Research on Women's HealthNational Institute of Mental Health
KeywordsMental healthPsychiatryPsychologyMedicine

Abstract

fetched live from OpenAlex

Perinatal mental health refers to a variety of experiences, disorders and diagnoses experienced by women during pregnancy and up to 12 months after birth. During the perinatal period, around 1-in-5 women experience a mental health problem, such as an anxiety disorder (e.g. Generalised Anxiety Disorder, Obsessive-Compulsive Disorder), depression, or an episode of psychosis -estimates vary depending on the type of mental health problem and biological, psychological and social factors (Howard & Khalifeh, 2020). It is clear from existing research that early identification of these problems is important to avoid the exacerbation of symptoms and improve long term outcomes for both mother and baby (Di Venanzio et al. 2017).In the context of COVID-19, emerging evidence indicates an increase in the incidence rates for perinatal mental health problems during the pandemic (Hessami et al. 2020). Such reported increases during COVID-19 exert further pressure on families and health and social care services. These increased burdens, coupled with gaps in our knowledge, highlight the essential need for up-to-date research to inform clinical practice and treatment.The Research Topic 'Neurological and clinical aspects of perinatal mental health' includes eight articles covering a range of perspectives, study methodologies and contexts. Each article makes a novel contribution to extend the evidence-base for perinatal mental health. Four overarching themes are covered:• Suicide is the leading cause of maternal mortality during the perinatal period (Orsolini et al. 2016). Suicidal ideation, a key precursor to suicidal death, with prevalence rates ranging from 3-30% (Gelaye et al. 2016). Evidence for an association between suicidal ideation and depression seems unclear among women during pregnancy (Faisal-Cury et al.). To address this gap in evidence, Faisal-Cury et al.took applied an epidemiological methodology to examine the role of depression in moderating suicidal ideation between pregnant and non-pregnant women in a Brazilian context. The authors describe important implications for clinical practice through and the identification of risk factors for suicide ideation, including a recent diagnosis of clinical depression.Substantive progress has been made in recent years to understand key aspects of the neurobiology of maternal mental illness, such as, neuroplasticity and neuroendocrine and immune system changes (Maguire et al. 2020). However, further research is needed to understand the neurobiological mechanisms underlying specific perinatal mental health disorders, such as antenatal depression. Cheng et al. conducted a voxel-based whole-brain analysis of 43 singleton parents to elucidate the neurobiological features of antenatal depression during the COVID-19 pandemic. Mao et al. examined potential biomarkers for antenatal depression through tandem mass spectrometry methods. The authors aimed to establish potential for a serum metabonomic method in the early diagnosis of antenatal depression. Both primary research studies add to the evidence base for early detection of antenatal depression.There are few validated measures that have been designed specifically to screen for and assess the severity of perinatal anxiety. Validated measures in maternal mental health tend to focus on depression (e.g. Edinburgh Postnatal Depression Scale). Alternatively, standardised measures for anxiety disorders may be used as a proxy for perinatal anxiety (e.g. Generalised Anxiety Disorder-7 item ). The Perinatal Anxiety Screening Scale (PASS) has been developed specifically to screen for anxiety across the perinatal period and include four dimensions: acute anxiety and adjustment, general worry and specific fears, perfectionism, control and trauma, and social anxiety (Summerville et al. 2014). Koukopolos et al. recognised that PASS had not been validated for use among Italian women; their article aimed to address and demonstrate the reliability and validity of PASS for this population. Hicks et al. offers a Canadian "view from the ground" on current clinical practice through their description of findings from a cross-sectional survey of perinatal mental health providers. The authors collate opinions from multiple stakeholders involved in perinatal mental health and describe important gaps in provision linked to training, screening, and management of perinatal mental health problems. This study highlights the need for researchers in perinatal mental health to plan effective dissemination strategies to support translation of research findings and engagement among practitioners.Articles in this Research Topic help to raise awareness about perinatal mental health and key issues related to the early identification -either through risk factors, biomarkers or self-reported symptoms -treatment interventions and service provision. All help to add to the evidence base for neurological and clinical aspects of perinatal mental health. Many of these studies provide evidence for scalable real-world solutions and all identify future areas of research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.028
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0060.002
Science and technology studies0.0030.003
Scholarly communication0.0070.006
Open science0.0050.002
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0240.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.341
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Psychiatry→Same topicMaternal Mental Health During Pregnancy and Postpartum→French-language works237,207→