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Record W4402996063 · doi:10.1177/21676968241287390

Sex Differences in Indicators of Mental and Cardiovascular Health in Cannabis-Using Undergraduates

2024· article· en· W4402996063 on OpenAlex
Kara Thompson, Margo C. Watt, Darien DeWolf, Rachael MacDonald‐Spracklin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEmerging Adulthood · 2024
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsSt. Francis Xavier University
FundersSocial Sciences and Humanities Research Council
KeywordsMental healthPsychologyCannabisClinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

This study investigated sex differences in indicators of mental health (anxiety, depression) and cardiovascular health (e.g., physical activity levels, heart rate, VO 2 max) in a sample of cannabis-using undergraduates. The sample included 209 participants (65% female) who completed two daily diaries for 14 days on their mobile devices; half of whom ( n = 100) also wore a Fitbit Charge 4. Females (vs. males) reported significantly more psychological distress at baseline; greater use of cannabis to cope with symptoms of both physical and mental ill-health; and more risks to cardiovascular health. Discriminant function analysis revealed that the variables that significantly distinguished females from males were: 1. Lower VO2 max percentile; 2. Fewer “moderate-to-very active” minutes of physical activity; 3. Higher depression scores plus poorer perceptions of mental health and physical health. Findings from this study suggest that female emerging adults who use cannabis regularly may be uniquely vulnerable to cannabis-related risks.

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.

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)0.000
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 score0.306
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.018
GPT teacher head0.309
Teacher spread0.291 · 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