Evidence map›Paper›PMID 39627150›Full record

Observational studyBMJ open2024

Analysing physical activity measures and clustering in patients with type 2 diabetes in secondary care: insights from the DIAbetes and LifEstyle Cohort Twente (DIALECT)-an observational cohort study.

Niala den Braber, Miriam M Vollenbroek-Hutten, Kilian D R Kappert, Gozewijn D Laverman

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Niala den BraberBiomedical Signal and Systems, University of Twente, Enschede, The Netherlands nialadb@gmail.com.ORCID 0000-0002-9098-3439
Miriam M Vollenbroek-HuttenBiomedical Signal and Systems, University of Twente, Enschede, The Netherlands.ORCID 0000-0001-8730-1487
Kilian D R KappertBiomedical Signal and Systems, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-1278-205X
Gozewijn D LavermanBiomedical Signal and Systems, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-8716-7115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse variance in accelerometer-based physical activity (PA) measures in patients with type 2 diabetes, identify the most distinctive PA measures and classify patients into different PA clusters based on these measures.

designDIAbetes and LifEstyle Cohort Twente (DIALECT), an observational cohort study.

settingSecondary care in the Netherlands. PARTICIPANT: 253 patients, with three excluded due to insufficient data. The cohort was predominantly male (66%) with an average age of 64.7 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes of DIALECT were all-cause mortality, microvascular and macrovascular diseases. The secondary outcomes are blood pressure levels, kidney function indicators and albuminuria levels

resultsPrincipal component analysis (PCA) was applied to 53 accelerometer-derived PA measures. Principal components were identified using a scree plot, key measures determining the principal components were derived and

conclusionsPA behaviour in patients can be categorised into three distinct clusters. The identified PA measures and behaviour clusters offer promising opportunities for tailored lifestyle treatment. However, further studies are needed to determine which PA measures are clinically most relevant, validate the usefulness of this classification and evaluate whether tailoring lifestyle advice according to these clusters adds clinical value. TRIAL REGISTRATION NUMBER: NTR5855.

Indexed as

AccelerometryDiabetes Mellitus, Type 2ExerciseAgedCluster AnalysisCohort StudiesFemaleHumansLife StyleMaleMiddle AgedNetherlandsPrincipal Component AnalysisSecondary Health CareSedentary BehaviorClinical Decision-MakingeHealthGeneral diabetesInformation technology

Identifiers

PMID39627150
PMCPMC11624807

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.