| Title |
Prevalence and factors associated with childhood visual impairment in Ethiopia
|
|---|---|
| Published in |
Clinical Ophthalmology, November 2017
|
| DOI | 10.2147/opth.s135011 |
| Pubmed ID | |
| Authors |
Lidiya Bezabih, Tilaye Workneh Abebe, Robera Olana Fite |
| Abstract |
Visual impairment is a significant loss of vision. It has an impact on the prosperity of different countries. It has been difficult to plan preventive measures against visual impairment due to the scarcity of data about the extent of the problem. The study was aimed at assessing the prevalence and identifying factors associated with visual impairment among school-age children in Ethiopia. A cross-sectional study design was used in four randomly selected schools found in Addis Ababa from May 15 to June 14, 2016. A total of 804 school-age students were selected using the simple random sampling method. Bivariable logistic regression and multivariable logistic regression were conducted. A p-value <0.05 was taken as a significant association. A total of 718 students participated in the study, obtaining a response rate of 89.3%. In all, 7.24% of school-age children were visually impaired, of whom 3.9% had low vision and 3.34% had severe visual impairment. Factors associated with visual impairment were being female (adjusted odds ratio [AOR], 2.28; 95% confidence interval [CI], 1.06-3.50), being in the age group of 10-13 years (AOR, 2.94; 95% CI, 1.36-6.22), being in the age group of 14-18 years (AOR, 4.06; 95% CI, 2.17-11.95), being a private school student (AOR, 2.61; 95% CI, 1.81-4.41), watching television for 2-4 hours/day (AOR, 3.56; 95% CI, 1.37-7.34), watching television at <1 m (AOR, 7.65; 95% CI, 2.59-34.61), watching television at 1-2 m (AOR, 6.89; 95% CI, 1.74-25.27), mobile exposure for 2-4 hours/day (AOR, 2.61; 95% CI, 1.35-4.58), mobile exposure for >4 hours/day (AOR, 3.05; 95% CI, 1.41-9.18), medical visit while experiencing symptoms (AOR, 11.32; 95% CI, 1.80-82.25) and no medical visit experience (AOR, 3.84; 95% CI, 0.46-31.76). The majority of the visually impaired school-age children had low vision. Sex, age, school type, television exposure duration, the distance of television exposure, mobile exposure and medical visit were factors associated with visual impairment. Increasing community awareness about early detection of visual impairment and providing affordable eye health service may decrease the prevalence of visual impairment. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 17% |
| Student > Bachelor | 11 | 12% |
| Student > Postgraduate | 9 | 10% |
| Lecturer | 6 | 7% |
| Researcher | 4 | 4% |
| Other | 13 | 15% |
| Unknown | 31 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 29% |
| Nursing and Health Professions | 11 | 12% |
| Computer Science | 4 | 4% |
| Sports and Recreations | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 34 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Clinical Ophthalmology
#1,803
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Outputs of similar age
#217,828
of 340,752 outputs
Outputs of similar age from Clinical Ophthalmology
#17
of 28 outputs
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