Impact Evaluation of Calcium and Vitamin D Supplementation and Physical Activity on Bone Health Status of Elderly Population of Urban Vadodara
Bibliographic record
Abstract
Background: Osteoporosis is a global public health problem affecting the ageing population and influenced by poor nutrition, lack of physical activities, and absence of supplementation on time.Objectives: To study the impact of Calcium and vitamin D supplementation along with weight bearing exercises on bone health status of elderly.Methods:30 elderly males and 20 elderly females having poor BMD and poor serum vitamin D were supplemented with 1000 mg calcium and 500 IU vitamin D/ day along with weight bearing exercises for a period of 3 months, along with that 60000 IU vitamin D3/week for 2 months were given to 30 males only. Serum calcium, Vitamin D, BMD, dietary calcium intake, frequency of vitamin D rich food intake, anthropometry etc. were measured at the baseline as well as after the intervention.Results: Mean BMD T-scores (-1.1 to -2.5: osteopenia; >-2.5: osteoporosis) of the elderly males and females were significantly (p?0.001) decreased after the intervention depicting improvement (baseline:-2.34±0.50, final:-1.86±0.61). 26.7% reduction in osteoporotic cases among males and 50 % among women was achieved. Mean serum calcium (baseline: 9.38±0.63, final: 9.46±0.61) and vitamin D level (baseline: 23.76±13.17, final: 35.48±14.84) was increased significantly (p?0.05). 60% males and 70% females achieved vitamin D sufficiency level after the intervention. Mean physical endurance (Grip strength, standing balance, walking speed and rise from chair) scores were significantly increased in both males and females. Locomotor problems were reduced among 6.7% males and 40% females after regular weight bearing exercise and supplementation.Conclusion:Calcium and vitamin D supplementation with daily weight bearing exercise has a preventive and curative effect on BMD and it maintains the serum calcium and vitamin D levels. Long term and high dose supplementation needs further investigation.
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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 | 0.000 |
| 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) | 0.001 | 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".