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Record W7115807504

Dysglycemia and carotid intima-media thickness in children and youth with obesity

2017· dissertation· en· W7115807504 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2017
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsPrediabetesObesityGlycemicDiabetes mellitusImpaired fasting glucoseDiseasePopulationImpaired glucose tolerance
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The prevalence of obesity in Canadian adults is high and is mirrored in the pediatric population. The collective increase of childhood obesity over the last three decades has been associated with a corresponding rise in the deterioration in cardiometabolic health. Abnormally high measures of blood glucose are indicative of impaired glucose metabolism that is related to the development of adverse adult conditions such as type 2 diabetes mellitus (T2DM) and/or cardiovascular disease (CVD). Prediabetes is a transient state of abnormally elevated blood glucose levels that, in adults, has comparable cardiovascular risk to diagnosed diabetes. Previous studies have demonstrated that children with prediabetes can progress to T2DM over a short period of time. Given that up to 21% of children with obesity have abnormal glucose parameters, it is critical to manage risk at early stages of life in this population in order to prevent adverse adult outcomes. PURPOSE: The purpose of this study was to evaluate if there is a contributing role of prediabetes on vascular structure, assessed via carotid intima-media thickness (cIMT), in children and youth with obesity. Given the high prevalence of adverse health indicators, we aimed to characterize the relationships between these clinical measures and early structural changes associated with atherosclerosis progression. As protocols used to measure cIMT in pediatric studies vary, an additional aim of this project was to assess comparability of cIMT protocols reported in the literature. HYPOTHESIS: It is hypothesized that children with obesity and prediabetes will have greater mean cIMT compared to normal glycemic controls and that mean cIMT will be significantly different across varying cIMT methodologies. METHODS: We recruited 165 participants (ages 5-17y) into this cross-sectional study, a sub-study of the CANadian Pediatric Weight Management Registry (CANPWR). This study assessed cIMT via B-mode ultrasonography in children and youth at time of entry into a weight management program. Clinical measures were obtained via prospective clinical chart review and were evaluated to identify potential relationships between modifiable and non-modifiable cardiovascular health indicators and measures of cIMT, using univariable and multivariable regression analyses. To compare methodologies, we assessed differences of mean cIMT (mm) using an intra-class correlation and a Bland-Altman plot. RESULTS: Fasting plasma glucose was related to mean cIMT (mm) in univariable analyses (p=0.047), but no measure of glycemia was independently correlated to arterial thickness. Segment-specific thickening contributed to significant differences in mean cIMT (mm) between methodologies that included all arterial segments (far and near wall of the common carotid artery, carotid bulb, and internal carotid artery; 12-segment) compared to those limited to the far wall of the common carotid artery (2-segment) (p<0.001). Intra-class correlation between these cIMT methodologies indicated moderate resemblance (ICC: 0.65, 95%CI: 0.55 to 0.73), however, a significant difference between means (mean difference: 0.012mm, 95%CI: -0.016 to -0.009, p<0.001) and a positive proportional bias (r=0.19, 95%CI: 0.06 to 0.31, p=0.003) were present. Furthermore, correlates of mean cIMT were inconsistent between varying methodologies commonly used to assess cIMT in children. CONCLUSIONS: In this study, dysglycemia did not predict on arterial thickness in children and youth with obesity. By comparing determinants and absolute differences between measures of cIMT, this study emphasizes the heterogeneity between the two methodologies and suggests that they should not be used interchangeably.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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