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Record W4386030341 · doi:10.1101/2023.08.18.23294290

Cardiorespiratory fitness and physical activity among children and adolescents with diabetes: A Systemic Review and Meta-analysis

2023· review· en· W4386030341 on OpenAlexafffundabout
Hannah Steinman De Visser, Isaak Fast, Nicole Brunton, E. Arévalo, Nicole Askin, Rasheda Rabbani, Ahmed M Abou-Setta, Jonathan McGavock

Bibliographic record

VenuemedRxiv · 2023
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsDiabetes CanadaResearch ManitobaGeorge & Fay Yee Centre for Healthcare InnovationUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health Research
KeywordsCardiorespiratory fitnessCINAHLMeta-analysisMedicineType 2 diabetesConfidence intervalDiabetes mellitusMEDLINEGuidelineRandom effects modelType 1 diabetesPhysical therapyInternal medicinePsychological interventionEndocrinologyPsychiatry

Abstract

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Background It is unclear if cardiorespiratory fitness (CRF) and physical activity (PA) are lower among youth with type 1 (T1D) and type 2 diabetes (T2D) compared to youth without diabetes. The objective of this study was to describe the magnitude, precision and constancy of the differences in CRF and PA between youth with and without diabetes. Methods We searched MEDLINE, Embase, CINAHL, and SPORTDiscus from 2000 to May 2022 for cross sectional studies that included measures of CRF and PA in children and adolescents with and without T1D or T2D. The main outcomes were objectively measured CRF obtained from a graded maximal exercise test and subjective or objective measures of PA. Three reviewers independently screened studies for eligibility, extracted data, and assessed studies for bias. Random effects meta-analysis model was used to estimate differences in main outcomes. The pooled effect estimate was measured as standardized mean differences (SMD) with its 95% confidence intervals (95%CI). This study was registered with PROSPERO (CRD42022329303) and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Results Of 7857 unique citations retrieved, we included 9 studies (n = 755 participants) with measures of CRF and 9 studies (n = 1233 participants) with measures of PA for youth with T2D, as well as 23 studies (n = 2082 participants) and 36 studies (n = 12,196 participants) for youth with T1D. Random effects models revealed that directly measured CRF was lower in youth with T2D [SMD = - 1.06; 95% CI: -1.57 to -0.56, I 2 =84%, n=9 studies; n=781 youth] and in youth with T1D compared to controls [SMD = -0.39; 95% CI: -0.70 to -0.09, I 2 =89%, n=22 studies; n=2082 youth]. Random effects models revealed that daily PA was marginally lower in youth with T1D [SMD= -0.29, 95% CI −0.46 to -0.11, I 2 =89%, n=32 studies; n = 12196 youth] but not different among youth with T2D compared to controls [SMD= -0.56, 95% CI −1.28 to +0.16, I 2 =91%, n=9 studies; n=1233 youth]. When analyses were restricted to studies with objective measures, PA was significantly lower in youth with T2D [SMD -0.71, 95% CI −1.36 to -0.05; I 2 =23%, n=3 studies; n=332 youth] and T1D [SMD -0.67, 95% CI –1.17 to -0.17; I 2 =93%; n=12 studies; n=1357 youth] compared to controls. Conclusions Children and adolescents living with T1D and T2D display lower CRF and objectively measured PA compared to controls without diabetes. Deficits in CRF, but not PA are larger and more consistent in youth with T2D, compared to youth with T1D. These data may contribute to the increased risk for cardiovascular disease-related morbidity observed in adolescents with diabetes, particularly those with T2D. Funding This study was funded by the Canadian Institutes of Health Research

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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)0.019
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.047
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.037
Bibliometrics0.0110.011
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.074
GPT teacher head0.351
Teacher spread0.277 · 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 designMeta-analysis
Domainnot available
GenreReview

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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Citations1
Published2023
Admission routes3
Has abstractyes

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