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Record W3195327817 · doi:10.1176/appi.focus.20200041

Perimenopause and First-Onset Mood Disorders: A Closer Look

2021· article· en· W3195327817 on OpenAlexaff
Natalie Musial, Jennifer Grbevski, Ashan Veerakumar, Priya Sharma

Bibliographic record

VenueFOCUS The Journal of Lifelong Learning in Psychiatry · 2021
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsWestern University
Fundersnot available
KeywordsBipolar disorderMood disordersMoodPsychologyPsychiatryClinical psychologyPopulationMedicineAnxiety

Abstract

fetched live from OpenAlex

Perimenopause is often a time of social, emotional, and physical change. Various factors contribute to the development of mood disorders during this time. There is a known association among women with previous history of major depressive disorder or bipolar disorder and relapse during the menopausal transition. First-onset mood disorders during this time have been less studied. A literature review in PsycInfo Ovid of records pertaining to first-onset mood disorders during perimenopause showed that this multifactorial process involves hormonal fluctuations, with estrogen being a key player. In addition, vasomotor symptoms, previous negative life events, and socioeconomic status were found to contribute to first-onset mood disorders during perimenopause. Treatment options include established medication regimens for psychiatric conditions; however, hormone therapy also has proven beneficial for this patient population. Further research, particularly on bipolar disorder, is needed to develop a clear association between perimenopause and first-onset mood disorders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.273
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations17
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueFOCUS The Journal of Lifelong Learning in PsychiatrySame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207