Düşme Hikayesi Olan Yaşlı Bireylerde Farklı Tip Egzersiz Eğitimlerinin Fonksiyonellik Üzerine Etkisi
Bibliographic record
Abstract
In this study, the effectiveness of different types of exercise trainings on functionality were examined in older faller. Thirty individuals were included in the study and these people were blinded. The socio-demographic information, Mini Mental State Examination, Tinetti Falls Efficacy Scale, Dynamic Gait Index, The Montreal Cognitive Assessment, Vestibular Disorders Activities of Daily Life, World Health Organization Quality of Life Instrument- Older Adults Module of the individuals were recorded. Muscle strength of hip flexors and abductors, m.quadriceps femoris and m.tibialis anterior were measured by manual muscle dynamometer. In balance evaluations; sensory organization test, adaptation test of computerized dynamic posturography were recorded. Individuals were divided into 3 groups by block randomization. All individuals applied vestibular exercise training twice a day for 8 weeks as a home program. In the first group vestibular evercise training as a home program, in the second group rehabilitation programme which was performed in computerized balance system, in the third group square-step exercise training was performed. Exercise programs were applied as three times a week for 8 weeks. After treatment, significant differences were found in all three groups in terms of muscle strength, balance assessment results, fear of falling, walking functions, cognitive functions, daily living activities, quality of life evaluation results within the group (p<0.05). A signicant increase was observed, all the evaluation results in square-step exercise group (p<0.05). According to these results, we concluded using square-step exercise in training programs is beneficial in geriatric rehabilitation for preventing fall risk.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".