| Literature DB >> 30524756 |
Aisha Mohammed Alemam1, Mohammed Hamad Aldebasi2, Abdulkarem Rehmatullah3, Rami Alsaidi4, Ishraq Tashkandi5.
Abstract
INTRODUCTION: Around half of the visually impaired population has uncorrected refractive errors (URE), and myopia constitutes a high proportion of them. URE should be screened and treated early to prevent long-term complications. The aim of this study was to determine the prevalence of myopia among all patients attending a pediatric outpatient clinic at Ohud Hospital in Medina, Saudi Arabia (KSA).Entities:
Year: 2018 PMID: 30524756 PMCID: PMC6247464 DOI: 10.1155/2018/3708409
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.909
Figure 1Flow diagram of the study population.
Demographic characteristics of the children included in the screening.
| Variables |
| No. of myopic patients | Prevalence of myopia | Chi-square | ||
|---|---|---|---|---|---|---|
| Sex | Male | 525 (43.2) | 21 | 4.00 |
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| Female | 690 (56.8) | 22 | 3.19 | 0.331 | 0.565 | |
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| Age | 3–6 | 327 (26.9) | 9 | 2.75 | ||
| 7–10 | 507 (41.7) | 16 | 3.16 | 2.205 | 0.332 | |
| 11–14 | 381 (31.3) | 18 | 4.72 | |||
| Total | 1215 (100%) | 43 | ||||
The association between severity of myopia with eye position and strabismus angle.
| Variables | Myopia | Total | Chi-square | |||||
|---|---|---|---|---|---|---|---|---|
| Low | Moderate | High |
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| Eye position | Normal |
| 21 | 13 | 20 | 54 | 8.912 | 0.179 |
| % | 63.6 | 54.2 | 69.0 | 62.8 | ||||
| Exophoria |
| 9 | 8 | 3 | 20 | |||
| % | 27.3 | 33.3 | 10.3 | 23.3 | ||||
| Exotropia |
| 3 | 3 | 4 | 10 | |||
| % | 9.1% | 12.5% | 13.8% | 11.6% | ||||
| Esotropia |
| 0 | 0 | 2 | 2 | |||
| % | 0.0 | 0.0 | 6.9 | 2.3 | ||||
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| Strabismus angle | 5° |
| 8 | 2 | 0 | 10 | 24.999 | 0.002 |
| % | 66.7 | 18.2 | 0.0 | 31.3 | ||||
| 10° |
| 1 | 3 | 0 | 4 | |||
| % | 8.3 | 27.3 | 0.0 | 12.5 | ||||
| 15° |
| 0 | 1 | 5 | 6 | |||
| % | 0.0 | 9.1 | 55.6 | 18.8 | ||||
| 20° |
| 1 | 1 | 2 | 4 | |||
| % | 8.3 | 9.1 | 22.2 | 12.5 | ||||
| >25° |
| 2 | 4 | 2 | 8 | |||
| % | 16.7 | 36.4 | 22.2 | 25.0 | ||||
Significant at P value less than 0.05.
Near work-indoor and outdoor activities and its association with the presence of myopia.
| Variables | On school weekdays | On weekends | ||
|---|---|---|---|---|
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| % |
| % | |
| Near work-indoor activities (reading, watching TV, playing video games, and/or writing homework) | ||||
| <1 hour | 11 | 25.6 | 6 | 13.9 |
| 1-2 hours | 14 | 32.6 | 8 | 18.6 |
| ≥3 hours | 18 | 41.9 | 29 | 67.4 |
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| 0.42 | <0.001 | ||
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| Outdoor activities (football, running, and/or swimming) | ||||
| Not at all | 14 | 32.5 | 12 | 27.9 |
| <1 hour | 11 | 25.6 | 7 | 16.3 |
| 1-2 hours | 10 | 23.3 | 5 | 11.6 |
| ≥3 hours | 8 | 18.6 | 19 | 44.2 |
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| 0.62 | 0.0125 | ||
The relation between myopia and other variables of interest.
| Variables | Myopia |
| ||
|---|---|---|---|---|
| Low | Moderate | High | ||
| Mean ± SD | Mean ± SD | Mean ± SD | ||
| Age | 9.5 ± 3.5 | 9.5 ± 3.3 | 10.1 ± 4.0 | 0.7 |
| Visual acuity in logMAR | .25 ± 0.25 | .49 ± 0.3 | 0.46 ± 0.3 | 0.003 |
| Axial length in mm | 24.3 ± 2.2 | 24.3 ± 1.5 | 26.2 ± 1.7 | 0.000 |
| Anterior chamber depth in mm | 3.48 ± 0.3 | 3.5 ± 0.4 | 3.5 ± 0.3 | 0.9 |
Significant at P value less than 0.05.
Outdoor activities and its association with the axial length and anterior chamber depth in weekdays and weekends.
| Not at all | <1 hour | 1-2 hours | ≥3 hours |
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|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | Mean | SD | Mean | SD | ||
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| Axial length | 24.3 | 1.2 | 24.6 | 2.2 | 25.4 | 2.6 | 26.3 | 1.6 | 0.01 |
| Anterior chamber depth | 3.4 | 0.3 | 3.4 | 0.4 | 3.6 | 0.2 | 3.6 | 0.2 | 0.01 |
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| Axial length | 24.4 | 1.3 | 24.5 | 2.5 | 26.3 | 3.1 | 25.2 | 1.8 | 0.046 |
| Anterior chamber depth | 3.4 | 0.3 | 3.4 | 0.5 | 3.5 | 0.2 | 3.6 | 0.2 | 0.035 |
Prevalence of myopia in different regions worldwide.
| Country | Sample size | Studied age group (years) | Prevalence of myopia (%) |
|---|---|---|---|
| Saudi Arabia-Qassim (Aldebasi Yousef H) | 5176 | 6–13 | 5.8% |
| Saudi Arabia-Riyadh (Al-Rowaily Mohammad A) | 1319 | 4–8 | 2.5% |
| Nigeria-Aba (Atowa UC et al.) | 1197 | 8–15 | 2.7% |
| Macedonia-Tetovo (Mahmudi E. et al.) | 119 | 3–9 | 1.6% |
| Ethiopia-Addis Ababa (Jafer K et al.) | 570 | 7–15 | 2.6% |
| Morocco (Anera et al.) | 545 | 6–16 | 6.1% |
| Iran-Shiraz (Yekta et al.) | 2130 | 5–15 | 4.3% |
| India-North India (Saxena Rohit et al.) | 9884 | 5–15 | 79.5% |
| China-Guangzhou (He M et al.) |
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| Australia-Sydney (Rose KA et al.) |
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| US-California (Theophanous et al.) | 60,789 |
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| South Korea (Jang JU et al.) | 1079 |
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