Serum Vitamin D Level Associates With Handgrip Muscle Strength Among Ethiopian Schoolchildren: A Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Despite varying serum levels of 25(OH)D among schoolchildren in Ethiopia, data are lacking whether this affects their muscle function as measured by handgrip strength of these children. Handgrip strength may be used as a proxy indicator of muscle strength and function. This study evaluated the association between serum levels of 25(OH)D and handgrip strength among schoolchildren in Ethiopia. METHODS: The study used a data set from a school-based cross-sectional study conducted on a total of 174 randomly selected schoolchildren from urban (N = 89) and rural (N = 85) settings of Adama Town and Adama Woreda, respectively. Handgrip strength, serum 25(OH)D levels, and anthropometry were measured for each child following standard procedures, while data on demographic characteristics of children and their parents were collected using a structured interviewer-administered questionnaire. A multivariable linear regression model was used to determine the association between serum vitamin D level and handgrip strength after adjusting for other predictors. RESULTS: The mean handgrip muscle strength of the students was 17.6 ± 6.9 kg. The average serum 25(OH)D for the group was 54.5 ± 15.8 nmol/L. On multivariable linear regression model, serum 25(OH)D level was significantly associated with handgrip strength (β = 0.06, P = .008) of the children after controlling for potential confounders. Other variables, female gender (β = -2.20, P = .004), age (β = 1.97, P < .001), height (β = .22, P < .001), weight (β = 0.33, P < .001), and triceps skinfold thickness (β = -0.19, P = .023), were identified to have significant association with handgrip strength of schoolchildren. CONCLUSION: Serum 25(OH)D levels had significant positive association with handgrip strength of Ethiopian schoolchildren. The results imply the need for incorporating school nutrition education on consumption of foods rich in important nutrients including vitamin D-rich foods in the school curricula and also enhancing behavioral change communication toward exposure to sunlight in the school to produce adequate vitamin D. Further longitudinal study involving a larger sample is recommended to confirm the findings.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".