MétaCan
Menu
Back to cohort
Record W2920825907 · doi:10.1161/circ.135.suppl_1.p054

Abstract P054: Translation of Diabetes Interventions Into Community Settings: 12-month Results of the Lifestyle Intervention for the Treatment of Diabetes Trial

2017· article· en· W2920825907 on OpenAlexaff
Alain G. Bertoni, Valery Effoe, Linda Y. Bollhalter, Margaret R. Savoca, Kristen Puhlman, Stedman T. Jones, W. Mark Brown, Kimberly Dezern, Carolyn F. Pedley, Ronny A. Bell, Jeffrey A. Katula

Bibliographic record

VenueCirculation · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMedicineOverweightDiabetes mellitusPsychological interventionSocioeconomic statusPhysical therapyRandomized controlled trialUnited Kingdom Prospective Diabetes StudyWeight lossObesityType 2 diabetesGerontologyPopulationInternal medicineEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Objective: Professionally delivered intensive lifestyle weight loss interventions (LWLs) have been shown to improve weight status and CVD risk factors among adults with diabetes in rigorously conducted trials. We report the 12-month results of a trial in which a LWL was delivered by community health workers (CHWs), among predominantly minority and/or lower socioeconomic status participants. Research Design and Methods: We recruited overweight or obese adults with diabetes and without CVD primarily via review of electronic medical records and physician referrals. The study featured two 12-month interventions: (1) LWL delivered by trained CHWs in community settings which involved weekly group sessions and 3 individual sessions with an interventionist, or (2) diabetes self-management education (DSM) comprised of 12 monthly group sessions delivered at a primary care clinic. The main outcome was change in United Kingdom Prospective Diabetes Study (UKPDS) estimated 5-year CVD risk at 12 months; secondary outcomes included weight loss, UKPDS risk score components (hemoglobin A1c, blood pressure, lipids) and use of medications affecting these components. Results: We screened 1102 and randomized 260 adults (age range 23-83, mean 55.9, 67% female, 48% black, 52% < college degree, mean A1c 7.6%, 37.3% A1c<7%, mean BMI 37.7 kg/m 2 ). Baseline demographic and CVD risk factors were equally distributed between the 2 groups of 130 participants each. At 12 months, 92.3% of LWL and 98% of DSM participants were retained. There was not a significant difference in 5-year UKPDS estimated CVD risk by arm (increased from 5.1% to 5.9% in LWL, and 5.5% to 6.1% in DSM, group comparison p=0.61). There was no evidence of effect modification by the pre-specified parameters of gender, race/ethnicity or baseline BMI. Follow-up A1c, SBP, and total cholesterol did not significantly differ by arm. Weight loss was greater in LWL compared to DSM participants (mean of 3.2% vs 1.1% of total body weight, p=0.02). At least 5% weight loss was achieved by 30.8% of LWL and 18.1% of DSM participants (p=0.02). Among LWL participants, 11.7% discontinued their diabetes medication compared to only 1.6% of DSM participants (p=0.005); 87.5% of those who discontinued medication had achieved an A1c<7% at follow-up, compared to 36.8% who continued using diabetes medication. Hypertension and lipid lowering medication use did not differ by arm. Conclusions: In a diverse sample of adults with diabetes, a CHW-delivered LWL intervention produced greater weight loss compared to a monthly DSM education, but did not appreciably alter 5-year UKPDS-estimated CVD risk, A1c, or CVD risk factors. The average weight loss achieved (3.2%) may not have been sufficient to produce meaningful changes in metabolic functioning and CVD risk factors, however, some participants in both interventions achieved improved glycemic control without use of medications.

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)0.001
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 score0.437
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.064
GPT teacher head0.348
Teacher spread0.284 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCirculationSame topicCardiovascular Health and Risk FactorsFrench-language works237,207