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Comparison of Coping Responses to Symptoms Between First-Time Sufferers and Those With a Previous History of Acute Myocardial Infarction

2007· article· en· W1975506245 on OpenAlexaff
Susan M. Fox-Wasylyshyn, Maher M. El‐Masri, Heather K. Krohn

Bibliographic record

VenueThe Journal of Cardiovascular Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of WindsorWindsor Clinical Research
Fundersnot available
KeywordsMedicineMyocardial infarctionCoping (psychology)Internal medicineCardiovascular eventMedical historyPhysical therapyClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Little is known about how experience with a previous acute myocardial infarction (AMI) impacts individuals' reactions to symptoms of a recurrent episode. Thus, the purpose of this study was to compare the use of coping strategies during an acute cardiac event in patients experiencing a first AMI with those experiencing a recurrent AMI. SUBJECTS AND METHODS: Secondary data analyses were performed to examine differences in the use of coping strategies between individuals with and without a history of AMI. Mann-Whitney U test was performed to compare those with (n = 26) and without (n = 109) a previous AMI with respect to 15 coping strategies, each of which was measured on a 5-point Likert scale. RESULTS AND CONCLUSIONS: Patients with a history of AMI were more likely to use prescribed medications to deal with their symptoms than were patients who did not have a previous AMI (M = 1.5 and 0.20; median = 2.0 and 0.0, respectively; P < .001). However, patients who had no previous AMI were more likely to respond by taking nonprescription medications (M = 0.90 and 0.60; median = 1.0 and 0.0, respectively; P = .04). The results suggest that patients with and without a history of AMI tend to respond to their symptoms with similar coping strategies. When differences occurred, patients with and without a history of AMI differed only with respect to the type of self-medication choices they made. Implications pertaining to these findings are discussed.

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 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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.344
Teacher spread0.316 · 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 teacher head, 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

Citations7
Published2007
Admission routes1
Has abstractyes

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