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The Effect of Habitual Cannabis Smoking on Arterial Stiffness and Vascular Endothelial Function: A Preliminary Analysis

2020· article· en· W3017242031 on OpenAlexaffabout
Christian P. Cheung, Philip J. Millar, Jamie F. Burr

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsArterial stiffnessMedicinePulse wave velocityBrachial arteryCannabisEffects of cannabisReactive hyperemiaCardiologyBlood pressureForearmInternal medicineVasodilationSurgeryPsychiatry

Abstract

fetched live from OpenAlex

Cannabis ranks globally as the most commonly used recreational drug, and both recreational and medicinal use have recently been legalized in numerous states and countries. The most common means by which cannabis is consumed recreationally is via smoking. Despite its prominent global use, a thorough understanding of the chronic cardiovascular effects of habitual consumption via smoking is lacking. Previous investigations have identified an association between cannabis use and accelerated vascular aging, and rodent models demonstrate impairments in vascular endothelial function following exposure to second‐hand cannabis smoke. Given these findings, it is likely that habitual cannabis smoking by humans results in central artery stiffening and/or decrements in vascular endothelial function; outcomes which are established risk factors for cardiovascular disease. The present work compared the carotid‐femoral pulse wave velocity (cfPWV) and brachial artery reactive hyperemia flow‐mediated dilation (FMD) of habitual cannabis users (CU) and age/anthropometrically matched non‐users (NU). CU were defined by cannabis use a minimum of once per week for ≥3yr. cfPWV was measured using arterial pulse wave tonometry. The FMD protocol included a 1‐minute baseline period, a 5‐minute occlusion of the forearm, and a 3‐minute reperfusion period. FMD is reported as peak change in vessel diameter. CU (n=10, 7M, 3F) and NU (n=10, 6M, 4F) did not differ in age (CU: 21.7±0.4, NU: 21.5±1; p=0.9) nor BMI (CU: 24.2±0.6kg/m 2 , NU: 23.4±0.4kg/m 2 , p=0.6). Systolic blood pressure (CU: 111.8±6.8mmHg, NU: 113.3±2.5mmHg, p=0.7), diastolic blood pressure (CU: 68.3±1.4mmHg, NU: 70.3±2.4mmHg, p=0.5), and supine resting heart rate (CU: 65.6±1.8bpm, NU: 66.0±2.8bpm; p=0.9) were similar between groups. Peak FMD (CU: 5.9±0.9%, NU: 6.8±1.1%; p=0.6) was also similar between groups, as was 60 second shear rate area‐under‐curve (CU: 4547±510, NU:4450±572; p=0.9). Peak change in blood velocity (CU: 38.1±3.6cm/s, NU: 36.7±2.0cm/s; p=0.7) and peak change in blood flow (CU: 307±51mL/min, NU: 253±33mL/min; p=0.4) during the FMD test were similar between groups, indicating no differences in microvascular dilatory capacity. cfPWV was higher in CU than in NU (CU: 6.0±0.2m/s, NU: 5.4±0.2m/s; p=0.05). Although no differences in vascular endothelial function were observed in this analysis, an increased sample size will be necessary to confirm these findings. The present data does indicate that habitual cannabis smoking may be associated with increased arterial stiffness. Support or Funding Information This work was supported by the Natural Sciences and Engineering Research Council of Canada under Grant 03974.

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)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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