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Record W7133014612

The Association Between Chronic Low Back Pain and Poor Sleep Quality Among Adults Aged 60 Years and Older

2025· dissertation· W7133014612 on OpenAlexaffabout
Pegah Rahbar

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitute for Work & HealthInstitute of Health Services and Policy Research
Fundersnot available
KeywordsAssociation (psychology)Low back painSleep apneaRisk factorChronic painBack painSleep (system call)Obstructive sleep apnea
DOInot available

Abstract

fetched live from OpenAlex

Poor sleep quality (PSQ) is associated with poor health, but its risk factors remain under-investigated in older adults. Low back pain (LBP) may contribute to PSQ, underscoring the need to investigate the association between chronic LBP and PSQ. In a systematic review, I synthesized the evidence on the association between LBP and PSQ among older adults and found a positive association between chronic LBP and PSQ. However, my review highlighted methodological limitations in the current literature which suggests the need for future high-quality research. Analyzing the Canadian Community Health Survey, I report that chronic back problems (CBP) are positively associated with PSQ among Ontario adults ≥60 years. Further, I found no interactions between CBP and sleep apnea in their association with PSQ. My thesis highlights the association between chronic LBP and PSQ among older adults, informing future studies investigating chronic back problems as a risk factor for PSQ.

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)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.313
Teacher spread0.305 · 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 designObservational
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes2
Has abstractyes

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