Impact Of High-Speed Power Training On Cognitive Function And Activities Of Daily Living
Bibliographic record
Abstract
This study explores the cognitive function and activities of daily living which could shed light on various aspects of functioning such as memory, thinking, problem solving and activities of daily living. Background: The average level of cognitive function in the overall population rises normally during childhood, peaks in maturity, and then declines as people age. These population- average trajectories have different general shapes depending on ability Study design: Randomized control study Aim: To assess the impact of high speed power training on cognitive function and activities of daily living among senior citizen. Objective: To evaluate the impact of high speed power training on cognitive function and activities of daily living among senior citizen. Participants: The participants were recruited on the basis of exclusion and inclusion criteria. The participants were divided in two group control group and experimental group 20 participants in each group total 40 participants were included in the study. Method: This is randomized controlled study; a total 40 participant recruited between 60-75 years of age. Participants were randomly assigned in one of 2 groups: control group with usual occupational therapy program and experimental group with power training program. Exercise intervention was conducted in 5 sessions per week, 45 min for 12 weeks. The outcomes of the intervention were assessed using MOCA and KATZ outcome measure. Result: In Montreal Cognitive Study (MOCA) pre and post in resulted that the pre mean of MOCA (14.5) accompanied by standard error (0.4947) and subsequently post mean value of MOCA increased (16.6) standard error (0.4723) and standard deviation( 2.1126) which indicate progress of post mean value (16.6) indicating an improvement to a level of cognitive function. In KATZ pre and post related that the pre mean of KATZ (3.15) accompanied by standard error (0.1666) and subsequently post mean value decrease (4.5) standard deviation (0.8271) which indicate progress of post mean vale (4.5) signifying a reduction in dependency and progress toward independence. Conclusion: This research discovered that the effect of high speed power training is more significant than only conventional occupational therapy program for cognitive and ADL abilities of senior citizen. This training helps senior citizen to improve cognition and decrease ADL dependency.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".