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Record W2139793768

Psychological and Exercise Intervention Training for Hemodialysis Patients: A Pilot Study

2014· article· en· W2139793768 on OpenAlexvenueno aff
Michael MX Cai, Sanjeev Beweja, Rachel Reilly, A Clements, Annette Kent, Nicholas F. Taylor, Robert MacGinley, S. Holt, Lawrence P. McMahon

Bibliographic record

VenueWorld Journal of Nephrology and Urology · 2014
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyHemodialysisQuality of life (healthcare)Depression (economics)Intervention (counseling)PopulationKidney diseaseEnd stage renal diseaseInternal medicineNursing
DOInot available

Abstract

fetched live from OpenAlex

Background: Patients with end stage kidney disease (ESKD) have a reduced health related quality of life (HRQoL). This pilot study examined the effect of a 6-month combined cognitive behavioral therapy (CBT) and muscle strength training program on hemodialysis patients. Methods: The outcomes of interest included HRQoL as measured by Short-Form 36 version 2 (SF-36v2), cardiac depression scale, self-efficacy score, 6-minute walk distance (6MWD), physical activity and muscle strengths. Twenty-seven patients were recruited for intervention, but only eight completed the study. Results: At baseline, participants who completed intervention (CI) had a higher role emotional score (P = 0.028), role physical score (P = 0.008) and self-efficacy score (P = 0.019), compared to the participants who dropped out (ID). At the end of intervention, CI had improvements in physical functioning scores (P = 0.040) and 6MWD (P = 0.018), whereas ID had a decline in their role emotional scores (P = 0.045). Conclusions: The result of this study suggests that a combined CBT and physical training intervention can benefit hemodialysis patients, but non-adherence to therapy is common. Self- efficacy could play an important role in therapy adherence in the ESKD population. World J Nephrol Urol. 2014;3(2):83-91 doi: http://dx.doi.org/10. 14740/ wjnu156w

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.303

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 integrity0.0000.000
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 head0.032
GPT teacher head0.307
Teacher spread0.275 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueWorld Journal of Nephrology and UrologySame topicDialysis and Renal Disease ManagementFrench-language works237,207