A Comparative Study of Bone-Health and Associated Factors in Healthy Indian Adolescents and Young Women
Bibliographic record
Abstract
Abstract Introduction: Adolescence is a critical period for the accrual of bone mass. However, few studies have assessed the bone geometry in slum-dwelling girls/young women. We thus conducted this study: (1) to assess bone health in Indian adolescent girls and young women residing in slum vs nonslum (NS) areas and (2) to identify factors associated with poor bone health. Methods: This cross-sectional case–control study was performed on 110 apparently healthy unmarried, nonpregnant, nonlactating, postmenarchal adolescent girls and young women aged 11 to 24 years residing in urban slums with the same number of age-matched controls from NS areas. Anthropometric, dietary, physical-activity and bone-health parameters (using dual-energy X-ray absorptiometry and peripheral quantitative computed tomography—DXA and pQCT—respectively) were evaluated using standard protocols. A P value of < 0.05 was considered statistically significant. Results: Slum girls were significantly shorter and lighter and had lower dietary intakes of calcium and protein after adjusting for total daily calorie intake than NS girls ( P < 0.05). Areal bone-mineral density (BMD) at lumber spine (0.940 ± 0.13 vs1.042 ± 0.15 g/cm 2 ), femur and total body (less-head), bone-mineral apparent density adjusted for volume at the lumbar spine (0.295 ± 0.04 vs 0.319 ± 0.04 g/cm 3 ) and height-adjusted bone density at femur (0.862 ± 0.011 vs 0.905 ± 0.011 g/cm 2 ) were significantly lower in slum dwelling participants as compared to their NS counterparts ( P < 0.05). After adjusting for confounders like sunlight exposure, anthropometric parameters and dietary calcium intake, area of dwelling was still a significant factor for the difference in BMD. Conclusions: The potential determinants of poor bone density and geometry in girls and young women residing in slums include residential location, dietary habits, and physical activity levels. Despite adjustments for confounding factors, differences in bone health between those in slum and nonslum areas suggest adaptations developed over generations of deprivation in these individuals, necessitating urgent intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".