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Record W4412002945 · doi:10.3928/00989134-20250626-02

Potential Influence of Acute Dysregulated Sleep on Fall Incidence Among Low-Income Older Women: A Case Study

2025· article· en· W4412002945 on OpenAlexaff
Kworweinski Lafontant, Abigail L. Tice, Jethro Raphael Suarez, Amber Blount, Chitra Banarjee, David H. Fukuda, Jeffrey R. Stout, Sergi García‐Retortillo, Ladda Thiamwong

Bibliographic record

VenueJournal of Gerontological Nursing · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsInnovation Cluster (Canada)
FundersNational Institute on Minority Health and Health Disparities
KeywordsSleep (system call)MedicineIncidence (geometry)GerontologySleep deprivationGerontological nursingPsychologyCircadian rhythmInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Chronic dysregulated sleep is associated with increased fall risk in older adults, especially in low-income communities. However, little is known about the effects of acute dysregulated sleep. METHOD: In the current study, we report sleep characteristics the night (Nightx), week, and month prior to a reported fall in two low-income African American older women from Orlando, Florida. RESULTS: Light, deep, rapid eye movement, wake, and total sleep duration between the 7 and 30 days preceding a reported fall were similar for both participants. However, participants had notable differences in all sleep stages, wake time after sleep, and total sleep duration when comparing Nightx to their average sleep 7 and 30 days prior. Participant A had relatively consistent sleep times, whereas Participant B did not, whose lowest total sleep time was Nightx. CONCLUSION: An acute bout of atypical sleep may increase fall risk among low-income older women, but more research is needed to support this theory.

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 score0.401
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.316
Teacher spread0.308 · 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
Published2025
Admission routes1
Has abstractyes

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