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Record W2364359402

The Sleep Quality of Low Back Pain Patients

2009· article· en· W2364359402 on OpenAlexaboutno aff
Shuqiao Yao

Bibliographic record

VenueZhongguo linchuang xinlixue zazhi · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaMcGill Pain QuestionnaireAnxietyBeck Anxiety InventoryBeck Depression InventoryPsychologyPhysical therapyChronic painSleep qualityDepression (economics)Sleep disorderBrief Pain InventoryMedicineVisual analogue scalePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective:To investigate the sleep quality of chronic back pain patients,and it's determined factors.Methods:169 chronic back pain patients(pain group)and 114 health control(control group)were assessed with the Short-form McGill Pain Questionnaire(SF-MPQ)、Athens insomnia scale(ASI)、Beck Depression Inventory(BDI),Beck Anxiety Inventory(BAI).Results:①The score of ASI,BDI and BAI and the ratio suffering insomnia in pain group higher than control group significantly(P≤0.01),The score of PPI,BDI,BAI in the pain with insomnia group higher than pain without insomnia group significantly(P≤0.05 or P≤0.01);② In pain group,the score of ASI were correlated to the time of pain per week,pain intensity,and factor score of SF-MPQ,BDI,BAI significantly(P≤0.01);The time of pain per week,the score of BDI,BAI can predicate the sleep quality.Conclusion:Pain,anxiety and sleep problem are common in chronic back pain patients,sleep quality related to the time of pain per week,depression,anxiety.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.056
GPT teacher head0.452
Teacher spread0.395 · 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
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

Citations0
Published2009
Admission routes1
Has abstractyes

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