Astigmatism and emmetropization in a native american population
Bibliographic record
Abstract
Previous research has shown a high prevalence of astigmatism among preschool-age, school-age, and adult members of some Native American tribes (1,2). Data from cross-sectional studies indicate that prevalence of astigmatism decreases or remains stable during the school years in some tribal groups (3–5). However, longitudinal data are needed to determine whether emmetropization of astigmatism occurs. Subjects in the present study were 208 three- to five-year-old children who were participants in the Tohono O'Odham Nation's Head Start program. Each child had cycloplegic refractive error measured with the Nikon Retinomax K-Plus autorefractor on at least three occasions during two academic years. For each child's dataset, an estimate of slope was calculated and compared statistically to a slope of zero (6,7). Results showed that the 69 subjects with high baseline astigmatism (>1.50 D) were more likely than the 139 subjects with low astigmatism (<1.50 D) to have decreasing (odds ratio=1.68, p=0.003) or increasing (odds ratio=1.39, p=0.002) slopes over time. However, most subjects (63.8% of the high astigmats and 87.8% of the low astigmats) showed no change in amount of astigmatism over time. Average change was 0.04 D/year (SD 0.36) in the high astigmatism group, compared to 0.02 D/year (SD 0.18) in the low astigmatism group, which was not a significant difference. Thus, we found little evidence for emmetropization of astigmatism during the preschool years. Follow-up of refractive error development in this population of children during elementary school is in progress, and data will be presented concerning whether the failure of emmetropization seen in the preschool years continues as children get older. 1. MillerJ.M.DobsonV.HarveyE.M.SherrillD.L.(2000). Astigmatism and amblyopia among Native American children (AANAC): Design and methods. Ophthalmic Epidemiology, 7, 187–207. 2. GossD.A.(1990). Astigmatism in American Indians: prevalence, descriptive analysis, and management issues. In: GossD.A.EdmondsonL.L., editors. Eye and Vision Conditions in the American Indian. Yukon, OKPueblo Publishing Press, pp. 61–76. 3. AbrahamJ.E.VolovickJ.B.(1072). Preliminary Navajo optometric study. Journal of the American Optometric Association, 43, 1257–1260. 4. HamiltonJ.E.(1976). Vision anomalies of Indian school children: the Lame Deer study. Journal of the American Optometric Association, 47, 479–487. 5. DobsonV.MillerJ.M.HarveyE.M.SherrillD.L.(1999). Prevalence of astigmatism, astigmatic anisometropia, and glasses wearing among preschool- and school-age Native American children. In Vision Science and Its Applications, Vol. 1, OSA Tec 6. MillerJ.M.SherrillD.L.DobsonV.HarveyE.M.(2003). Stability of spherical equivalent refraction in Native American preschool children. Presentation at Association for Research in Vision and Ophthalmology, Annual Meeting, Fort Lauderdale, 7. DobsonV.MillerJ.M.SherrillD.L.HarveyE.M.(2003). Stability of astigmatism in Native American preschool children. Presentation at Association for Research in Vision and Ophthalmology. Presentation at Association for Research in Vision and Ophthalmology, Annual Meeting, Fort Lauderdale, Florida, May 4–9,
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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 | 0.001 | 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".