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Record W4362505937 · doi:10.1177/10731911231165071

The Worry Behaviors Inventory–Perinatal Revised: Adaptation and Initial Validation for Use in Perinatal Samples

2023· article· en· W4362505937 on OpenAlexafffund
Briar E. Inness, Randi E. McCabe, David L. Streiner, Emily S. Barrett, Sheryl M. Green

Bibliographic record

VenueAssessment · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
FundersCanadian Institutes of Health Research
KeywordsWorryPsychologyGeneralized anxiety disorderAnxietyClinical psychologyConstruct validityDistressInternal consistencyPerinatal periodPostpartum periodConstruct (python library)Mental healthDevelopmental psychologyPsychiatryPsychometricsPregnancy

Abstract

fetched live from OpenAlex

Generalized anxiety disorder (GAD) is a leading mental health concern during pregnancy and the postpartum (perinatal) period. People with GAD engage in problematic behaviors to manage their distress. However, the extent of GAD behaviors during the perinatal period may not be adequately captured by the Worry Behaviors Inventory (WBI), the most comprehensive measure of GAD behaviors to date. We evaluated the structure of the initial WBI item-pool and then evaluated the internal consistency, construct validity, and predictive utility of the Perinatal Revised WBI (WBI-PR) in a sample of 214 perinatal women with and without GAD. A two-factor, 10-item scale was supported, and some of the retained items differed from the original WBI. Internal consistency of the WBI-PR was acceptable, and evidence of construct validity was demonstrated. The WBI-PR predicted GAD diagnostic status both alone and beyond existing generalized anxiety and depression symptoms. Implications of these findings are discussed.

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)0.000
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 score0.082
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.106
GPT teacher head0.400
Teacher spread0.293 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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