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Record W2990557099 · doi:10.31372/20190403.1057

It’s a Matter of Perspective: The Role of Aging Expectations and Self-Efficacy Towards Engagement in Healthy Lifestyles Among Older Adults

2019· article· en· W2990557099 on OpenAlexvenueno aff
Johnny Jr. Yao

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2019
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersCommission on Higher Education
KeywordsPerspective (graphical)Healthy agingPsychologyGerontologyDevelopmental psychologyMedicineComputer science

Abstract

fetched live from OpenAlex

This study aimed to investigate whether aging expectations predict engagement in healthy lifestyles. Furthermore, it aimed to determine whether self-efficacy mediates the relationship between aging expectations and engagement in healthy lifestyles. This study enlisted 95 respondents who were 60 years old and older in a large metropolitan area in the Philippines. A four-part instrument package was utilized to measure the respondent's (1) demographic profile, (2) aging expectations using the Expectations Regarding Aging (ERA-12) Survey, (3) engagement in healthy lifestyles using Health-Promoting Lifestyle Profile II (HPLP-II), and (4) self-efficacy using the Self-efficacy for Self-direction in Health Scale. Data were analyzed using linear regression and mediation analysis. Results show that aging expectations and self-efficacy predicted engagement in healthy lifestyles. Moreover, self-efficacy was found to be a significant mediator between the variables. Programs that promote a positive aging expectation and high self-efficacy should be pursued by the government and non-government organizations.

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 score0.282
Threshold uncertainty score0.403

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 integrity0.0000.001
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 head0.013
GPT teacher head0.338
Teacher spread0.325 · 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

Citations20
Published2019
Admission routes1
Has abstractyes

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