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The Relationship Between Frailty and Psychosocial Adjustment in Older Adults with COPD

2025· article· en· W4412089366 on OpenAlexaboutno aff
Tuğçe Türten Kaymaz, Elif Yetkin Özdemir, Hanife Efsane Demiröz, Merve Çelik Ayar

Bibliographic record

VenueEuropean Journal of Geriatrics and Gerontology · 2025
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialCOPDGerontologyPsychologyMedicineClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Objective: Frailty in older adults can manifest through various symptoms; reduced oxygen capacity is one of its prominent indicators.As individuals age, the prevalence of chronic obstructive pulmonary disease (COPD), a condition characterized by diminished oxygenation, also tends to increase.COPD and frailty can cause psychosocial adjustment difficulties.The study investigated the relationship between frailty and psychosocial adjustment in older adults with COPD. Materials and Methods:This descriptive-correlational study was conducted with 137 older patients who met the inclusion criteria.Data were collected using a patient identification form, the Psychosocial Adjustment to Illness Scale-self report (PAIS-SR), and the Edmonton Frail Scale (EFS).Results: Participants had a mean PAIS-SR score of 54.37±12.91.They had a mean EFS score of 6.79±3.83.Age and COPD stage affected their median PAIS-SR scores (p<0.05).Age, education, occupation, and hospitalization also affected their EFS scores (p<0.05).There is a negative correlation between frailty and psychosocial adjustment.Moreover, the COPD stage and frailty are associated with psychosocial adjustment. Conclusion:The frailer the older COPD patients are, the lower their psychosocial adjustment.Poor psychosocial adjustment is associated with COPD stages and frailty.Age, education, hospitalization, and psychosocial adjustment are predictors of frailty.Older COPD patients with low education levels, advanced disease stages, and frequent hospitalizations should be assessed for frailty and psychosocial adaptation.Evaluating patients may help us detect frail patients with low adaptation levels.In that way, we can meet patients' monitoring and care needs in the early period.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.339
Teacher spread0.301 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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