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Investigation of Activity, Participation and Quality of Life in Elderly Living in Ankara and Antalya Provinces

2020· article· en· W3005447838 on OpenAlexaboutno aff
Hasan Atacan Tonak, Özgün Kaya Kara, Sedef Şahın

Bibliographic record

VenueBezmialem Science · 2020
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGerontologyQuality of life (healthcare)Life qualitySocioeconomicsDemographyNursingPhysical therapySociology

Abstract

fetched live from OpenAlex

Objective:This aim of this study was to investigate the relationship between activity, participation and quality of life in the elderly living at home.Methods:This study was applied to 120 elderly people (60 females, mean age: 71.4±5.3 years; 60 males, mean age: 70.8±4.7 years, ranged between 65-83 years) aged 65 years and older and living at their home in Ankara and Antalya. The community participation levels were assessed with World Health Organisation Disability Assessment Schedule, Second Version (WHO-DAS-II). Canadian Occupational Performance Measure (COPM) was used to evaluate the activity performance of participants. The elderly’s quality of life levels were assessed with Health Survey Questionnaire Short Form-36 (SF-36).Results:The important daily living activities of participants in which they had problems were: Cooking (n=52), shopping (n=48), having a shower (n=38) and praying (salaat) (n=37). According to the results of WHO-DAS-II, COPM and SF-36, there were no statistical differences between gender groups (p>0.05). There was a moderate significant negative correlation between the sub-scores of COPM and total score of WHO-DAS-II (p<0.05). Also, There was a weak-strong significant negative correlation between all sub-parameters of SF-36 and WHO-DAS-II total score and community participation sub-parameter (p<0.05).Conclusion:Our study showed that the community participation of elderly people living in the home increased with the increase in their activity performance, and their quality of life increased with their increased community participation. Future studies should be designed to investigate the effects of environmental factors and different living conditions on activity, participation and quality of life of elderly individuals.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.036
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.129
GPT teacher head0.404
Teacher spread0.275 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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