Nutritional status, physical activity level, physical fitness level and cognitive status among older adults in Kuala Selangor / Fatin Nabilah Samsudin … [et al.]
Bibliographic record
Abstract
Ageing population has increased significantly as observed in developing countries. This increase has highlighted the importance of health-related quality of life through healthy ageing. Older adults who do not practice healthy lifestyle are at higher risk to develop deterioration in physical and mental capacity. In Malaysia, there are limited studies that address relationship between nutritional status, physical activity and its effect on physical fitness function and cognitive function among older adults. This study is in congruent with The Academy of Nutrition and Dietetics of United States (2012) which stress the role of nutritious diet and physical active lifestyle as the key influential factors in reducing the physical and mental deterioration associated with ageing. Thus, this research can provide better understanding on the current diet and physical activity practices among Kuala Selangor older adult and its outcome to their fitness and cognitive function. The purpose of this was to assess the nutritional status, physical activity level, physical fitness function and cognitive function among older adults in Kuala Selangor. Besides that, this study was carried out to determine the correlation between nutritional status, physical activity and cognitive function. Participants for this study were 40 males and 117 female community-dwelling older adults aged from 60 to 85years old from several villages in Jeram district, Kuala Selangor. Their nutritional status was assessed by using Diet History Questionnaire, Mini Nutritional Assessment and anthropometry data. The physical activity was assessed by using International. Physical Activity Questionnaire and for physical fitness; it was assessed by using hand grip test and Senior Fitness Test. For cognitive function, it was assessed by using Montreal Cognitive Assessment. The mean age for males was 67.0 ±9.00, and for females was 68.0 ±9.00, respectively, while BMI (kg/m2) for male and female respectively 23.9 (5.30), 24.3 (6.00), waist circumference (cm) for male and female were = 89.4 (15.10), 90.7 (14.45), respectively. Fat percentage (%) for males and females were 29.5 (6.50), 33.3 (9.40)) respectively. There was a correlation between energy, protein with right hand grip strength among female older adults. There were significant differences seen in physical activity and age in female (p =0.007).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".