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Record W6939939225 · doi:10.6084/m9.figshare.c.7503958

Effects of an Exercise and Lifestyle Education Program in Brazilians living with prediabetes or diabetes: study protocol for a multicenter randomized controlled trial

2024· other· en· W6939939225 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsToronto Rehabilitation InstituteUniversity Health Network
Fundersnot available
KeywordsPrediabetesRandomized controlled trialQuality of life (healthcare)GlycemicIntervention (counseling)Clinical trialAnthropometry

Abstract

fetched live from OpenAlex

Abstract Background Patient education is a crucial strategy for promoting prevention and diabetes self-management since glycemic control achievement involves taking medications, medical nutrition therapy, physical exercise, and behavior changes. However, patient education programs are still barely implemented in low- and middle-income countries. This trial aims to investigate whether a lifestyle education intervention added to physical exercising is superior to sole physical exercising regarding functional capacity, disease-related knowledge, health behaviors, cardiometabolic health parameters, quality of life, depression, and diet quality in individuals with prediabetes or diabetes. Methods Multicenter double-blinded randomized controlled trial with two parallel arms involving 12-week intervention and 6-month follow-up. The eligible individuals (≥ 18 years, living with prediabetes or diabetes, literate, no clinical decompensation and/or physical and/or mental limitations that contraindicate physical exercising, written physician permission for exercise, no cognitive impairment, no vision limitations for reading, no confirmed diagnosis of unstable coronary disease or heart failure, no pacemaker and/or implantable cardioverter-defibrillator, no complex ventricular arrhythmias, no intermittent claudication, no recent cardiovascular event or cardiac surgery, and no currently enrolled in a structured exercise program) were recruited from two Brazilian cities and randomized to either (1) an Exercise and Lifestyle Education Program (ExLE) or (2) an Exercise Program (Ex), which can be delivered on-site or remotely based on the participants’ internet access and technology literacy. The primary outcomes will be changes in functional capacity and disease-related knowledge. The secondary outcomes will involve changes in health behaviors (health literacy, physical activity level, exercise self-efficacy, and medication adherence) and cardiometabolic health parameters (glycemic control, anthropometric measures, and cardiac autonomic control). Program adherence, satisfaction with the program, diabetes-related morbidity, and changes in quality of life, depression, and diet quality will be the tertiary outcomes. Assessments will occur at baseline, post-intervention, and after 6-month follow-up. Discussion If superior effectiveness of ExLE compared to Ex program to improve the outcomes measures is found, this program could be delivered broadly in the Brazilian health system, especially in the primary care facilities where most individuals living with prediabetes and diabetes in our country are assisted. Trial registration ClinicalTrials.gov, NCT03914924 . Registered on April 16, 2019.

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)0.016
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.033
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.013
Meta-epidemiology (narrow)0.0060.002
Meta-epidemiology (broad)0.0140.006
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0330.005

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 head0.011
GPT teacher head0.286
Teacher spread0.274 · 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 designRandomized trial
Domainnot available
GenreProtocol

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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