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Record W4391395461 · doi:10.1186/s41687-024-00690-3

A qualitative study of daily activities that inform a process-based model of well-being among Singaporean adults

2024· article· en· W4391395461 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Patient-Reported Outcomes · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity Health Network
FundersNational Medical Research CouncilMedical Research Council
KeywordsThematic analysisPsychologyNonprobability samplingConstruct (python library)Qualitative researchCategorizationContext (archaeology)Meaning (existential)PopulationApplied psychologyPersonal construct theorySocial psychologyActivities of daily livingMedicineComputer scienceSociologyArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Individual appraisals of personal well-being consider a spectrum of constructs including the reflections on the degree to which one's life is ultimately secure, meaningful, or valued in the context of dynamic changes in their bio-psycho-social environments. Standardized questionnaires for well-being evaluate an ideal state of health which is operationally defined by abstract constructs. Patient reports describe well-being as a more dynamic construct that relates to how they adapt to successive changes in their life situations. While response shift theory addresses this dynamic nature, little is known about how personal well-being is pursued as personal aspirations evolve. In this study, we identify regularly practiced goal-directed activities reported to contribute to the pursuit of personal well-being. We then propose a taxonomy of these reported activities to inform a process-based model for well-being. METHODS: Purposive sampling was conducted with individuals, 30 to 60 years of age, with diverse ethnicities reflecting the Singaporean population. Individual semi-structured interviews were administered with the primary question: "What are the things or activities you have done in the last two weeks that made you feel like you had a good day?" Probes explored the personally salient meaning of each activity. A thematic approach was used for data analysis followed by a framework analysis to categorize the activities into major themes. RESULTS: We interviewed 40 individuals comprised of 60% female participants. Thematic analysis identified eight types of goal-directed activities, which were categorized under three major themes: (i) Self-Affirming Care through individual self-care and maintaining interpersonal relationships, (ii) Achievement-Focused Tasks as indicated by work-related accomplishments and developing a skill or hobby, (iii) Affiliative Growth and Support as reflected through religious practices and community services. Planned physical activity contributed to self-affirming care and achievement-focused tasks. Social affirming roles were associated with both achievement-focused tasks and affiliative growth and support. CONCLUSIONS: In the dimensions of goal-directed activities identified, there is close alignment between Self-Affirming Care and attachment theory; Achievement-Focused Tasks and self-determination theory; and Affiliative Growth and Support and social mattering. These findings can contribute to a comprehensive process-based model of well-being which is more closely aligned to patient-report appraisals of personal 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.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.043
GPT teacher head0.386
Teacher spread0.342 · 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