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Record W4410482478 · doi:10.1093/eurjpc/zwaf236.336

Age and sex differences in cardiovascular risk factors at intake and completion of cardiac rehabilitation: chronologically young but cardiovascularly old?

2025· article· en· W4410482478 on OpenAlexaffabout
Carley O’Neill, Jocelyn E. Harris, Jennifer L. Reed

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of OttawaAcadia University
Fundersnot available
KeywordsMedicineRehabilitationPhysical therapyGerontology

Abstract

fetched live from OpenAlex

Abstract Background Cardiovascular disease (CVD) is increasing among younger and middle-aged adults (MA); perhaps in part due to, poor mental health, increased sedentary time, and low physical activity levels. Younger adults (YA) with CVD are more likely to experience worse mental health and are more likely to drop-out of cardiac rehabilitation (CR) when compared to MA and older adults (OA). Less is known regarding age and sex differences in CVD risk factors at intake and completion of CR. Purpose To evaluate differences in CVD risk factors among YA (≤44 yr), MA (45-64 yr), and OA (≥65 yr) patients who completed in-person CR and all risk factor-related questionnaires, at a Canadian hospital in 2023. Methods At intake and completion resting blood pressure was assessed. The Patient Health Questionnaire-9 (PHQ9), the Generalized Anxiety Disorder-7 (GAD7), and the Duke Activity Scale Index (DASI) were administered at both time points. A Chi-Square analysis was conducted to determine differences in the proportion of patients with elevated anxiety levels. A two-way analysis of variance with a Bonferroni post-hoc test was conducted to determine age and sex differences in risk factors. Results Of 512 total patients, 39 were YA (48.7% female), 180 were MA (27.7% female) and 293 were OA (33.7% female). No age-group or sex differences were observed for any outcome at intake or completion. Differences in elevated GAD-7 scores at intake (>10 moderate, >15 severe) were observed across age groups (χ2[2]=7.36, P=0.025). Within each group, 20.5% (female=3, male=5) of YA, 6.6% (female=2, male=10) of MA, and 10.2% (female=8, male=22) of OA demonstrated elevated GAD-7 scores. This difference was not apparent at completion (χ2[2]=0.580, P=0.748). No sex differences were observed in the proportion of elevated GAD-7 scores at intake or completion. Within age-groups, improvements in physical activity levels (YA intake:205.56; completion:225.26 mins/wk, P=<0.001; MA intake:179.14; completion:251.23 mins/wk P=<0.001; OA intake:179.03; completion:223.64 mins/wk, P=<0.001), the GAD-7 (YA intake:5.25; completion:3.00 points, P=<0.002; MA intake:3.52; completion:3.37 points, P=0.005; OA intake:3.65; completion:3.03 points, P=<0.001), and the DASI (YA intake:6.68; completion:8.12 METS, P=<0.001; MA intake:6.45; completion:7.84 METS, P=<0.001; OA intake:6.4; completion:7.8 METS, P=<0.001) were observed. Conclusions YA experience higher levels of anxiety upon entry into CR when compared to MA and OA. Completion of CR reduced the proportion of patients with elevated anxiety levels, with the greatest reductions among YA. The lack of differences in risk factor outcomes across age-groups is concerning. The CVD risk profile among those <44 years appears the same as those >65 years thus, warranting immediate action to increase physical activity levels and improve education surrounding CVD risk factors to elicit heart-healthy behaviours across the lifespan.

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)0.000
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 score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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
Published2025
Admission routes2
Has abstractyes

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