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Record W6964162385 · doi:10.25384/sage.c.7162730.v1

Exercise perceptions and practices of people receiving peritoneal dialysis: An international cross-sectional survey

2024· other· en· W6964162385 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical activityPerceptionConfusionPeritoneal dialysisPhysical exerciseHealth careTelephone surveyDescriptive statisticsEthnic group

Abstract

fetched live from OpenAlex

Background:Low physical activity and functional impairment are prevalent and unaddressed in people receiving peritoneal dialysis (PD). Exercise has been shown to improve physical function and mental health for people with kidney disease.Methods:Cross-sectional descriptive survey aimed at identifying the exercise and physical activity perceptions and practice patterns of people receiving PD. The survey was developed and pretested with persons living with kidney disease, PD clinicians and exercise specialists.Results:There were 108 respondents (people receiving PD) with the majority from Canada (68%) and the United Kingdom (25%). Seventy-one per cent were engaged in physical activity two or more times per week. Most (91.8%) believed that physical activity is beneficial, and 61.7% reported healthcare provider discussion about physical activity. Perceptions regarding weightlifting restrictions varied: 76% were told not to lift weight with a maximum amount ranging from 2 kg to 45 kg. Few (28%) were instructed to drain PD fluid prior to physical activity. Mixed advice regarding swimming ability was common (44% were told they could swim and 44% were told they should not).Conclusions:Knowledge gaps suggest that education for both healthcare providers and patients is needed regarding the practice of exercise for people living with PD. Common areas of confusion include the maximum weight a person should lift, whether exercise was safe with or without intrabdominal PD fluid in situ and whether swimming is allowed. Further research is needed to provide patients with evidence-based recommendations rather than defaulting to restricting activity.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0530.001

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 head0.116
GPT teacher head0.438
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207