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Correlates Of Exercise As A Coping Strategy For Stress

2005· article· en· W1993604115 on OpenAlexaffabout
Laura McCabe, Cairney John, Veldhuzien Scott, Hay John, Faught Brent

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsBrock UniversityCentre for Addiction and Mental Health
Fundersnot available
KeywordsCoping (psychology)PopulationCross-sectional studyEducational attainmentMental healthPsychologyGerontologyMultivariate analysisDemographyMaladaptive copingClinical psychologyMedicineEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Exercise is associated with positive mental and physical well-being, and has also been shown to reduce stress. However, most studies use small convenience samples, often drawn from clinical populations, to examine the relationship between exercise, coping and health outcomes. Population-based, epidemiologic surveys, while based on representative, probability samples of the population, tend to focus on participation in exercise/physical activity, not on whether the behaviour is used as a coping device. As a result, our understanding of who uses exercise specifically as a coping strategy for stress in the general population is limited. Purpose To examine the demographic, behavioural, and health correlates of exercise as a coping strategy for stress in a national probability sample of Canadians. Method In this study, we use the Canadian Community Health Survey 1.2, a cross-sectional survey of 36, 984 Canadians ages 15 and over, from all 10 provinces of the country. Results Approximately 40% of Canadians reported using exercise as a way of coping with stress. In multivariate analyses, women (OR=1.34, 1.28–1.41), those who were single (OR=1.63, 1.50–1.72) and those who were previously married (OR=1.35, 1.25–1.46) were more likely than men and married individuals, respectively, to use exercise as a stress reliever. Younger adults are more likely than older adults to use exercise as a coping behaviour. Those with higher incomes (OR=1.08, 1.06–1.10) and educational attainment (OR=1.13, 1.11–1.14) were also more likely than others to report exercising to reduce stress. Current smokers (OR=0.73, 0.69–0.77), and illicit drug users (OR=0.89, 0.84–0.98) were less likely than others to exercise in response to stress, although regular drinkers were more likely to engage in this behaviour (OR=1.26, 1.20–1.32). Finally, individuals who had a history of one or more psychiatric disorders were more likely to report using exercise to cope with stress (OR=1.15, 1.07–1.20). Conclusions Understanding which segments of the population do, and do not, use exercise as a coping behaviour is important for health promotion planning at the population level. Our data suggest that male gender, low SES, older age and risky lifestyle behaviours are all associated with being less likely to use exercise as a coping strategy. These same groups also report high levels of perceived stress, and are at greater risk for physical and mental health related problems. Encouraging greater uptake of exercise in these sub-groups of the population may reduce overall stress levels and improve their general health and well-being.

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)0.002
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 score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.347
Teacher spread0.311 · 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

Citations1
Published2005
Admission routes2
Has abstractyes

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