| Literature DB >> 36061585 |
Catherine S M Stratton1, Kristina Fagher2, Xiang Li3,4, Taylor D Ottesen5,6, Yetsa A Tuakli-Wosornu7,8.
Abstract
Background: It remains unknown whether access to elite blind sports opportunities is globally balanced or matches the prevalence of blindness/visual impairment (VI). The primary objective of this study was to determine the rate of elite blind sports participation in each world region registered in the International Blind Sports Federation's (IBSA) and to assess its association with the global and regional prevalence of blindness/VI. The secondary objective was to determine the association between other covariates, such as age, vision class, and sex, with the number of IBSA-registered athletes from each region.Entities:
Keywords: Para athlete; blindness/visual impairment; geographic trends; global equity
Year: 2022 PMID: 36061585 PMCID: PMC9434663 DOI: 10.1177/20556683221122276
Source DB: PubMed Journal: J Rehabil Assist Technol Eng ISSN: 2055-6683
Figure 1.The IBSA member nations organized by the IBSA Global Visual data system. This system uses unique super-region categories.
The summary by subregions of athletes with blindness/VI that were registered in the IBSA Sports Administration System for summer season 2019, as of 26 April 2019 by sex, age, and IBSA classification (B1, B2, B3, CNC, and NE).
| Sex | Age (years) | Classification | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Female | Male | Sex ratio | <20 | 20–30 | 30–40 | 41–50 | >50 | B1 | B2 | B3 | CNC | NE | |
| Caribbean | 1 | 12 | 12.00 | 0 | 4 | 6 | 1 | 1 | 2 | 5 | 5 | 0 | 1 |
| Central Asia | 34 | 98 | 2.88 | 12 | 78 | 37 | 3 | 1 | 24 | 38 | 53 | 6 | 11 |
| East Asia | 82 | 160 | 1.95 | 34 | 90 | 46 | 43 | 23 | 97 | 85 | 58 | 0 | 2 |
| Europe, Central | 78 | 226 | 2.90 | 22 | 72 | 53 | 48 | 108 | 111 | 68 | 118 | 0 | 7 |
| Europe, eastern | 61 | 141 | 2.31 | 12 | 83 | 67 | 22 | 9 | 51 | 84 | 52 | 0 | 15 |
| Europe, western | 159 | 380 | 2.39 | 72 | 204 | 140 | 68 | 45 | 198 | 203 | 130 | 2 | 6 |
| Latin America, Andean | 13 | 32 | 2.46 | 10 | 14 | 14 | 5 | 2 | 24 | 13 | 8 | 0 | 0 |
| Latin America, Central | 57 | 168 | 2.95 | 43 | 97 | 54 | 23 | 5 | 150 | 34 | 35 | 1 | 5 |
| Latin America, Southern | 15 | 68 | 4.53 | 17 | 32 | 22 | 9 | 2 | 53 | 19 | 11 | 0 | 0 |
| Latin America, Tropical | 40 | 67 | 1.68 | 36 | 41 | 25 | 5 | 0 | 58 | 30 | 18 | 0 | 1 |
| North Africa/Middle East | 87 | 222 | 2.55 | 36 | 163 | 79 | 19 | 1 | 116 | 116 | 71 | 1 | 5 |
| North America | 34 | 44 | 1.29 | 15 | 31 | 21 | 9 | 2 | 17 | 21 | 38 | 0 | 2 |
| Oceania | 14 | 8 | 0.57 | 5 | 10 | 5 | 0 | 1 | 5 | 4 | 13 | 0 | 0 |
| South Asia | 4 | 18 | 4.50 | 1 | 17 | 2 | 1 | 0 | 14 | 2 | 6 | 0 | 0 |
| Southeast Asia | 28 | 68 | 2.43 | 10 | 40 | 26 | 8 | 6 | 55 | 19 | 21 | 0 | 1 |
| Sub-Saharan Africa, Central | 0 | 0 | NA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sub-Saharan Africa, East | 11 | 15 | 1.36 | 0 | 18 | 8 | 0 | 0 | 18 | 3 | 4 | 0 | 1 |
| Sub-Saharan Africa, Southern | 5 | 9 | 1.80 | 1 | 9 | 4 | 0 | 0 | 6 | 5 | 2 | 0 | 1 |
| Sub-Saharan Africa, West | 15 | 26 | 1.73 | 3 | 27 | 8 | 2 | 1 | 33 | 8 | 0 | 0 | 0 |
| Total | 738 | 1762 | 2.39 | 329 | 1030 | 617 | 266 | 207 | 1032 | 757 | 643 | 10 | 58 |
Figure 2.Age and Sex distribution of IBSA registered blind/VI athletes in summer season 2019.
Figure 3.Regression analysis of country-level prevalence of blindness/VI against blind sports participation rate. The darker grey area surrounding the solid blue line indicates 95% confidence interval. The Sports Participation Rate for a country is determined by the number of registered IBSA VI/blind athletes divided by the size of VI/blind populations. Blindness/VI Prevalence refers to the VI/blind population divided by the total population of a country, expressed as a percentage. Here, the size of the blind/VI population could only interpret 0.98% of the variance in the prevalence of blind sports participation, and the prevalence of blindness/VI accounted for 15.84% of the variability in blind sports participation.
Figure 4.Distribution of visual classifications by subregion.