MétaCan
Menu
Back to cohort
Record W2949995291 · doi:10.1016/s2214-109x(19)30205-0

Exercise intervention in the management of urinary incontinence in older women in villages in Bangladesh: a cluster randomised trial

2019· article· en· W2949995291 on OpenAlexafffundabout
Adrian Wagg, Zafrullah Chowdhury, Jean‐Michel Galarneau, Rezaul Haque, Fardous Kabir, Dianna MacDonald, Kamrun Naher, Yutaka Yasui, Nicola Cherry

Bibliographic record

VenueThe Lancet Global Health · 2019
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsAlberta Hospital EdmontonUniversity of Alberta
FundersUniversity of Alberta
KeywordsUrinary incontinenceMedicineCluster randomised controlled trialCluster (spacecraft)Intervention (counseling)Randomized controlled trialPhysical therapyGerontologyFamily medicineNursingInternal medicineUrology

Abstract

fetched live from OpenAlex

BACKGROUND: Group exercise-based programmes for urinary incontinence appear to be promising low-cost interventions for women in developing countries, but no evidence exists to support whether they could be implemented or effective in such populations. We aimed to evaluate whether a group intervention that comprised pelvic floor muscle training, mobility exercises, and bladder education would be more effective than education alone, and report changes between villages (ie, clusters) rather than between individual participants. METHODS: In this cluster randomised trial, we recruited women from 16 pairs of villages in Bangladesh, with each pair comprising similar villages from the same sub-district. Women aged 60-75 years were interviewed to establish eligibility. Women were eligible if they had current urinary incontinence, and were excluded if they had a third degree or higher uterine prolapse, if they were unable to walk or stand without help, or if they had insufficient intellectual capacity to understand questions and follow instructions. The villages were randomly assigned within each pair to either exercise plus education or education-only intervention by use of a random number generator from a fixed seed. Women were excluded after consenting if they lived too far from the centre of the village. The exercise intervention was a physiotherapist-led group exercise class that was held twice weekly for 12 weeks, with home exercises between classes and to 24 weeks. Both groups received bladder-health education. Participants were followed up for 24 weeks. A 3-day continence record was collected at recruitment and every 4 weeks up until 24 weeks. This record involved the participant tying a knot in ribbons worn under the clothing each time they had an episode of urinary leakage. The primary outcome was change in number of knots (recorded leakage episodes) from recruitment to 24 weeks. Safety was assessed in all participants in the exercise intervention group. The trial is registered at ClinicalTrials.gov, number NCT02453100. FINDINGS: Between Aug 22, 2015, and July 2, 2018, of 3577 women aged 60-75 years identified, 1003 were eligible, of whom 625 consented to participate (n=335 exercise plus education villages, and n=290 in education-only villages). Of these consenting women, 46 were excluded (n=37 exercise plus education, n=9 education only) because they lived too far from the centre of the village. At week 24, 283 (95%) of 298 in the exercise plus education group and 274 (98%) of 281 in the education-only group completed a 3-day continence record. The estimate of change in number of leakage episodes between baseline and 24 weeks was -7·7 (95% CI -10·6 to -4·8) at the village level in an unadjusted model, and -6·64 (-7·95 to -5·33) in a random-effects model accounting for cluster randomisation. No adverse events were reported. INTERPRETATION: A structured group-exercise intervention has the potential to manage urinary incontinence in older women in communities largely outside the reach of pharmaceutical or surgical interventions. FUNDING: Canadian Institutes for Health Research.

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)0.003
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 score0.158
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.327
Teacher spread0.311 · 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

Citations24
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueThe Lancet Global HealthSame topicPelvic floor disorders treatmentsFrench-language works237,207