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Record W2137646783 · doi:10.1017/s0144686x1400083x

Older adults at risk of a cardiovascular event: a preliminary investigation of their experiences of an active lifestyle scheme in England

2014· article· en· W2137646783 on OpenAlexfundno aff
Grania Fenton, Kate Hill, Rachel Stocker, Allan House

Bibliographic record

VenueAgeing and Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersAGE-WELL
KeywordsAttendanceThematic analysisFocus groupGerontologyPsychologyCardiovascular eventMedicineQualitative researchPsychiatrySociologyPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT Reducing risk of a cardiovascular event involves adopting healthier lifestyles. Community-based active lifestyle schemes offer support, but problems with uptake, completion and evaluation are common. We report the engagement and experiences of older adults referred to a scheme in England. Data transcribed from a focus group or individual interviews were analysed using thematic framework analysis. Participants reported an increased awareness of health difficulties with age, and described attendance-related psychological benefits, including an increased sense of responsibility for change and having had negative beliefs about age, health and change challenged. Some physical benefits (including reduced weight and blood pressure) were also reported. Those who attended most consistently were more likely to report caring responsibilities and describe positive social and relational outcomes, but were not more likely to report marked physical benefits. We recommend several changes to ensure that schemes meet their objectives and the needs of those referred. Age-related, health and lifestyle beliefs do not prohibit change but influence attendance and so should be addressed. Outcomes should be publicised, and structured, fixed-term programmes, incorporating relapse-prevention strategies, should be delivered to a closed group at flexible times. Active follow-up of non-attenders and improved data collection are also recommended. These should reduce the risk of schemes providing social support at the expense of intended health benefits.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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 designQualitative
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

Citations2
Published2014
Admission routes1
Has abstractyes

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