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Record W3195214103 · doi:10.1080/03630242.2021.1966159

Beliefs of women of childbearing age on healthy sleep habits: a reasoned action approach elicitation study

2021· article· en· W3195214103 on OpenAlexafffund
Lydi‐Anne Vézina‐Im, Dominique Beaulieu, Debbe Thompson, Theresa A. Nicklas, Tom Baranowski

Bibliographic record

VenueWomen & Health · 2021
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsThe Quebec Population Health Research NetworkUniversité du Québec à Rimouski
FundersCanadian Institutes of Health ResearchAgricultural Research ServiceU.S. Department of Agriculture
KeywordsAction (physics)Theory of reasoned actionMedicineSleep (system call)PsychologyGerontologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

There is little information on the determinants of healthy sleep habits (HSH) among women of childbearing age (WOCBA). The objective was to identify WOCBA's beliefs on HSH based on the Reasoned Action Approach. Thirty WOCBA (18-41 years) were randomly assigned to answer questions regarding one of three HSH: avoiding screen use in bed; avoiding caffeine, alcohol and cigarettes before bedtime; and having a regular bedtime and wake up time even on weekends. A content analysis was performed independently by two experts to identify the most important beliefs using a 75% cumulative frequency of mention. Participants reported that adopting the HSH would improve sleep, avoid side effects, help them relax before bedtime and make them feel like they were missing out on things. Adopting the HSH was associated with feeling relaxed and satisfied, but also qualified as unpleasant and abnormal. WOCBA mentioned their parents, partner, siblings and children would approve/disapprove if they adopted the HSH and were the most/least likely to adopt them. Barriers were having activities in the evening and social situations. Facilitating factors were putting their electronic devices away from bed, having alternatives and a regular schedule. These results can guide the development of interventions promoting HSH among WOCBA.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.338
Teacher spread0.306 · 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 designQualitative
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

Citations2
Published2021
Admission routes2
Has abstractyes

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