Visual impairment refers to presenting distance visual acuity worse than 6/18 in the worst eye. It remains a global challenge that greatly affects the mobility, social participation and the quality of life of the people. This study was aimed to determine the prevalence and associated factors of visual impairment among adults aged ≥ 18 years.
Methods
A community-based cross-sectional study was conducted at Debre Berhan town. Systematic random sampling method was employed to select the study participants from adult’s aged ≥18 years. Data was collected by interview with a pre-tested semi structured questionnaire. Both anterior and posterior segment ocular examinations were done by Optometrists and Ophthalmologist. After all ocular examinations adult’s aged ≥18 years with presenting Visual acuity of < 6/18 in the worst eye were considered as visually impaired. Multivariate logistic regression was used to identify the determinant factors and p value less than 0.05 was considered as statistically significant.
Results
A total of 416 participants were enrolled in the study with a 98.6% response rate. The prevalence of visual impairment among adults aged ≥ 18 years was 16.8% (95% CI, 13.5–20.2%). Among the overall prevalence of visually impaired adults 27 (6.49%) had bilateral VI and 43 (10.34%) had monocular VI. Aged > 64 years (AOR = 12.18, 95%CI: 4.47–33.20), illiterates AOR = 3.02, 95% CI: 1.36–6.72), previous eye trauma (AOR = 4.44, 95% CI: 1.64–12.04), family size > 5 (AOR: 4.44, 95% CI: 1.43–13.75) and family history of eye problem (AOR = 7.02, 95% CI: 1.95–25.22) had statistically significant association with visual impairment.
Conclusions
Prevalence of visual impairment among adults was found to be a significant public health problem. Older age, illiterates, previous eye trauma, large family size and family history eye problem were positively associated with visual impairment.
Hinweise
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Abkürzungen
AOR
Adjusted Odds Ratio
CI
Confidence Interval
COR
Crude Odds Ratio
EPI INFO
Epidemiological Information
NLP
No Light Perception
PVA
Presenting Visual Acuity
SPSS
Statistical Package for Social Science
VA
Visual Acuity
VI
Visual Impairment
WHO
World Health Organization
Background
Visual impairment (VI) refers to a functional limitation of the eye or visual system due to a disorder or disease that results in poor vision in the worst eye. According to World Health Organization (WHO) revised definition, it is defined as presenting distance visual acuity worse than 6/18 in the worst eye [1]. Classification of severity of VI recommended by the Resolution of the International Council of Ophthalmology and WHO Consultation includes Moderate VI, Severe VI and blindness based on presenting VA worse than 6/18, 6/60, and 3/60 respectively [1, 2]. Among the global population 216·6 million were moderate or severe VI. The leading causes were uncorrected refractive error (116·3 million), cataract (52·6 million), age-related macular degeneration (8·4 million), glaucoma (4·0 million), and diabetic retinopathy (2·6 million) [3]. The prevalence of VI among adults aged 40 years and above in the South Indian State of Andhra Pradesh was 14.3% [4], In Saudi among adults aged ≥18 years was (23.5%) [5], in East Delhi district among adults aged ≥ 40 years and above was 11.4% [6] and in rural area of Coastal Karnataka state among adults aged ≥18 years was 25.7% [7]. Based on the presenting visual acuity (PVA) prevalence of VI was different in African countries. In Ghana among Cocoa Farmers aged ≥ 40 years was 22.7% [8], In Upper Egypt among adults aged ≥ 40 years was 38.8% [9] and In Southern Sudan among aged ≥ 5 years was 11.8% [10]. Based on 2006 national survey blindness and low vision were major public health problems in Ethiopia. Based on presenting vision in the better eye the national prevalence of blindness and low vision was 1.6 and 3.7% respectively. The major causes of low vision were cataract (42.3%), refractive error (33.4%), trachomatous corneal opacity (7.7%), other corneal opacity (5.9%) and macular degeneration (4.6%) [11].
VI remains to be a major public health problem especially in low and middle income countries which was estimated to be four times higher than in high-income countries [12]. VI affects the quality of life and socio-economic characteristics of the people like mobility, social participation and find a job [13]. Hence, their ability to find employment and support themselves and provide for their families is diminished [14]. However, there was no previous study on the prevalence and associated factors of VI among adults at a community level in Ethiopia as well as in the study area. There is limited access to eye care service for the large number of populations at Debre Berhan town in which only one eye care service center and few eye care professionals are providing services for more than about 80,000 populations. So the current study aimed to estimate the total magnitude of VI at the town and it might be helpful for health authorities to plan strategies for eye care services in the study area.
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Methods
Study design, setting and sampling
A community-based cross-sectional study was conducted at Debre Berhan town from April 30, 2018 to May 15, 2018. Debre Berhan town is located in North Shewa, Amhara Regional State, 120 km away from Addis Ababa (the capital city of Ethiopia) in the north direction and 688 km from Bahir Dar (capital city of Amhara National Regional State). It has 88,375 total populations (39,961 males and 48, 414 females), of which 64.4% are adults aged ≥18 years (unpublished data obtained from Debre Berhan town woreda health office). All adults aged ≥ 18 years who lived at Debre Berhan town for at least 6 months were the source and study population.
Sample size was determined with single population proportion formula. \( n=\frac{{\left({Z}_{\alpha /2}\right)}^2P\left(1-P\right)}{d^{2.}} \) (n = Sample size, Z = The Value of z statistic at 95% confidence level = 1.96, P – Proportion of visual impairment = 50% = 0.5 (Since community based study on the presenting visual acuity was not conducted in the study area or other similar areas which had related population characteristics and methodology of the current study, 50% proportion was used), d – Maximum tolerable error (marginal error) 5% = 0.05, n = 384). By adding 10% nonresponse rate, the final sample size was estimated at 422. In the study area, there were 20,770 households and nine kebeles (administrative groups). All administrative kebeles were included in the study by proportionally allocating the households in each kebele according to their size. Systematic random sampling method was employed to select the households by using an interval of constant (k = 49, K was calculated as the total households [20,770] divided by sample size [422]). If more than one eligible adult’s aged ≥18 years were found in the selected household, a lottery method was used to recruit the sample.
Operational definitions
Visual impairment
VI was defined as presenting distance visual acuity worse than 6/18 to no light perception (NLP) in the worst eye. It was further classified into moderate VI (Presenting visual acuity (PVA) < 6/18 - ≤ 6/60), severe VI (PVA < 6/60 - ≤ 3/60), blindness (PVA < 3/60 - NLP), monocular moderate VI (PVA of < 6/18 - ≤ 6/60 in one eye and 6/6 - ≤ 6/18 in the other eye), monocular severe VI (PVA < 6/60 - ≤ 3/60 in one eye and 6/6–6/60 in the other eye) and monocular blindness (PVA < 3/60 to NLP in one eye and PVA of 6/6–3/60 in the other eye) [1].
Smoking
Smokers were those who smoked one stick of cigarette at least once per day and nonsmokers those who never smoke cigarette [15].
Eye trauma
Self-reported previous history of any trauma to the eye.
Family history of eye problem
Were those participants who had positive history of vision problems in their family members/near relatives (parents & grandparents).
Data collections and examination procedures
The questionnaire was pre-tested for 5% of the sample at Chacha town which is 10 km away from Debre Berhan and re-adjusted accordingly. The questionnaire was contained socio-demographic, socio-economic, behavioral factors and ocular examinations which was used to collect the data. Ocular examinations were done by using Snellen’s “E” optotype chart, pinhole disc, pen torch, direct ophthalmoscope and 2.5 × magnifying loupe. Optometrists and Ophthalmologist were involved in the data collection process. After took the informed written consent from the study participant, Optometrists had measured the presenting distance VA at 6 m for each eye separately. Adults with VA of less than 6/18 in the worst eye were rechecked with pinhole. Presenting Visual acuity of < 6/18 in the worst eye were considered as VI. An improvement of VA with pinhole and clear ocular media with direct ophthalmoscopy was confirmed as VI due to refractive error. Both anterior and posterior segment eye examination were done for all cases to determine the possible abnormalities that decrease the VA and all the findings were documented. Those visual impaired participants who had undetermined eye problems were consulted to the Ophthalmologist for detailed eye examination and the required data were collected after the diagnosis was confirmed. All study participants who had VI were linked to the referral hospital for appropriate management and follow up.
Statistical analysis
All the collected data was entered, coded and cleaned to EPI INFO 7 and then exported in to SPSS (Statistical Package for Social Science) version 20 and analyzed. Descriptive results were presented by using frequency, percentages, charts, tables, graphs and summary statistics. Binary logistic regression model was used to find out the association between VI and independent variables. Multivariable binary logistic regression model was used to determine the factors adjusted for potential confounders. Adjusted Odds Ratio (AOR) and 95% confidence interval (CI) were used to show the strength of association. Model fitness was checked by Hosmer and Lemeshow goodness of fit test. Multi co-linearity was checked by variable inflation factor (VIF) and tolerance. Finally, those factors with p-value of less than 0.05 were considered as statistically significant.
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Results
Socio-demographic characteristics of study participants
A total of 416 participants were included in the study with a 98.6% response rate. The median age of participants was 36 years with interquartile range (IQR: 27–52 years). Among the study participants 247 (59.4%) were females (See Table 1).
Table 1
Socio-demographic characteristics of adults aged ≥ 18 years at Debre Berhan town, North Shewa, Ethiopia, 2018 (n = 416, n = number of study participants)
Variable
Frequency
Percentage (%)
Age (years)
18–39
235
56.5
40–64
123
29.6
> 64
58
13.9
Gender
Male
169
40.6
Female
247
59.4
Religion
Orthodox
345
82.9
Muslim
27
6.5
Protestant
32
7.7
Catholic
12
2.9
Ethnicity
Amhara
359
86.3
Oromo
27
6.5
Tigrie
13
3.1
Guragie
17
4.1
Marital status
Single
178
42.8
Married
238
57.2
Family history of eye problem
Yes
16
3.8
No
400
96.2
Socio-economic characteristics of study participants
The median family monthly income was 101.07 US$ with inter quartile range of [IQR: 57.27–151.67]. Most of the study participants 354 (85.1%) had no health insurance (See Table 2).
Table 2
Socio-economic characteristics of adults aged ≥ 18 years at Debre Berhan town, North Shewa, Ethiopia, 2018 (n = 416, n = number of study participants)
Variables
Categories
Frequency
Percentage (%)
Health insurance
Yes
62
14.9
No
354
85.1
Occupations
Employed
155
37.3
Not employed
261
62.7
Educational status
Illiterate
55
13.2
Literate
361
86.8
Family monthly income (US$)
< 57.31
106
25.5
57.31–101.07
127
30.5
101.11–151.61
84
20.2
> 151.61
99
23.8
Systemic co-morbidities and behavioral characteristics of study participants
Among the study participants 405 (97.8%) were non-smokers. History of systemic hypertension and diabetic mellitus were found in 21 (5.0%) and 9 (2.2%) participants respectively. Two hundred eighty three 68.0% of participants had no history of eye checkup (See Table 3).
Table 3
Systemic co-morbidity and behavioral characteristics of adults aged ≥ 18 years at Debre Berhan town, North Shewa, Ethiopia, 2018 (n = 416, n = number of study participants)
Variables
Category
Frequency
Percentage (%)
Known history of hypertension
Yes
21
5.0
No
395
95.0
Known history of diabetes
Yes
9
2.2
No
407
97.8
Cigarette smoking
Yes
11
2.6
No
405
97.4
History of eye trauma
Yes
28
6.7
No
388
93.3
History of eye check up
Yes
133
32.0
No
283
68.0
Eye glass wear
Yes
101
24.3
No
315
75.7
Prevalence of visual impairment among adults
The prevalence of VI among adults aged ≥ 18 years was 16.8% [95% CI: 13.5, 20.2%]. Nearly a third 22 (31.4%) of the participants with VI were in the bilateral moderate VI category. Among the overall prevalence of visually impaired adults 27 (6.49%) had bilateral VI and 43 (10.34%) had monocular VI (See Table 4).
Table 4
Frequencies of VI categories among adults aged ≥ 18 years with visual impairment at Debre Berhan town, North Shewa, Ethiopia, 2018 (n = 70, n = number of adults with visual impairment)
Visual impairment category
Frequency
Percentage (%)
< 6/18–6/60
Bilateral moderate VI
22
31.4
< 6/60–3/60
Bilateral sever VI
2
2.9
< 3/60-NLP
Bilateral blindness
3
4.3
< 6/18–6/60, other eye 6/6–6/18
Monocular moderate VI
21
30.0
< 6/60–3/60, other eye 6/6–6/60
Monocular sever VI
4
5.7
< 3/60-NLP, other eye 6/6–3/60
Monocular blindness
18
25.7
Total
70
100.0
Refractive error was the most common cause of bilateral VI and cataract caused most of the unilateral VI (See Fig. 1).
Fig. 1
Common ocular abnormalities that caused bilateral and unilateral visual impairment among visually impaired adults aged ≥ years at Debre Berhan town, North Shewa, Ethiopia, 2018. Refractive error and cataract were the leading cause of bilateral and unilateral VI respectively
×
Factors associated with visual impairment in adults
In multivariable analysis age, history of eye trauma, family history of eye problem, family size and educational status had statistically significant positive association with VI.
Adults aged 40–60 years were 3 times more likely to present with VI compared to those aged 18–39 years; adults aged > 64 years were even 12 times more likely. Those who had family history of eye problems were 7 times more likely to have VI than adults with no history of family eye problems. Adults who had a history of eye trauma were 4 times more likely to have VI than those who had no previous eye trauma history. Illiterate adults were 3 times more likely to have VI than literate adults (See Table 5).
Table 5
Factors associated with visual impairment among adults aged ≥ 18 years at Debre Berhan town, Ethiopia, 2018 (n = 416, n = number of study participants)
Factors
Visual Impairment
COR(95% CI)
AOR(95% CI)
p-value
No
Yes
Age (year)
0.0001
18–39
222
13
1.0
1.0
40–64
100
23
3.93(1.91–2.8.07)
3.04(1.22–7.58)
0.017
> 64
24
34
24.19(11.25–52.01)
12.18(4.47–33.20)
0.0001
Marital status
0.058
Single
141
37
1.63(0.97–2.73)
2.06(0.98–4.37)
Married
205
33
1.0
1.0
Education level
0.007
Illiterate
26
29
8.71(4.68–16.20)
3.02(1.36–6.72)
Literate
320
41
1.0
1.0
Family income
0.491
(US$)
74
32
3.85(1.78–8.35)
2.20(0.78–6.20)
0.137
< 57.31
108
19
1.57(0.69–3.54)
1.40(0.52–3.76)
0.506
57.31–101.07
75
9
1.07(0.41–2.77)
1.67(0.54–5.17)
0.373
101.11–51.61
89
10
1.0
1.0
> 151.61
Hypertension
0.840
Yes
15
6
2.07(0.77–5.53)
1.14(0.33–3.87)
No
331
64
1.0
1.0
Diabetes
0.278
Yes
5
4
4.13(1.08–15.80)
2.47(0.48–12.63)
No
341
66
1.0
1.0
Family history of eye problem
0.003
Yes
9
7
4.16(1.50–11.58)
7.02(1.95–25.22)
No
337
63
1.0
1.0
History of trauma
0.003
Yes
18
10
3.61(1.61–8.09)
4.44(1.64–12.04)
No
328
60
1.0
1.0
Occupation
0.595
Employed
141
14
1.0
1.0
Unemployed
205
56
2.75(1.48–5.13)
1.24(0.56–2.72)
Cigarette smoke
0.287
Yes
7
4
2.93(0.83–10.31)
2.42(0.42–12.29)
No
339
66
1.0
Family size
0.077
< 2
104
12
1.0
1.0
2–4
159
30
1.64(0.80–3.34)
2.25(0.83–6.14)
0.113
4–5
39
9
2.00(0.78–5.12)
2.25(0.63–8.03)
0.210
> 5
44
19
3.74(1.68–8.36)
4.44(1.43–13.75)
0.010
DISCUSION
Prevalence of visual impairment among adults aged ≥ 18 years in this study was 16.8% (95% CI: 13.5, 20.2%) which is higher than other studies done in South Sudan (11.8%) [10], Cape Town South Africa (7.2%) [16], Sokoto state of Nigeria (11%) [17], Atakunmosa, South Western Nigeria (7.4%) [18], Bangladesh (9.3%) [19], Malaysia (9.2%) [20], South Korea (4.3%) [21], East Delhi district of India (11.4%) [6], Mahabubanagar district of India (8.4%) [22], Iran (1.39%) [23] and Botucato, Brazil (7.4%) [24].
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The studies in South Sudan, Sokoto and Atakunmosa, Nigerian state, Brazil, Bangladesh, Mahabubanagar district of Indian and Malaysian were done by better eye presenting visual acuity which means they considered bilateral VI only. If one eye was visually impaired and the other was not impaired, they considered as no VI which under estimate the magnitude of VI compared to the present study which considered the visual acuity of either eye. The lower prevalence of VI in Cape Town South Africa might be caused by differences in socioeconomic variables and access of eye care services. The Iran and Korean studies were based on best corrected better eye visual acuity which might under estimate the burden of VI.
The prevalence of visual impairment in this study is lower than the studies reported by Upper Egypt (38.8%) [9], Cocoa farmers of Ghana (22.7%) [8], Saudi (23.5%) [5] and rural areas of Coastal Karantaka, India (25.7%) [7].
The possible discrepancy between the studies in Upper Egypt and cocoa farmers of Ghana compared to this study might be due to study area and population difference in which they studied on rural and aged ≥40 years populations. The study in Saudi had used 6/9 as a lowest cut of point of visual acuity to define VI [5] unlike in the current study that used the lowest cut of point of visual acuity for VI was 6/18 [1] which may be the possible reason for the discrepancies.
The prevalence of visual impairment in this study is in line with the studies done in China (17.17%) [25], Andhra Pradesh state of India (14.3%) [4] and Southern Mexico (14.1%) [26]. This may be due to studying the same ages of the populations (≥18 years), use of presenting visual acuity and similar cut of point (VA < 6/18) for defining VI.
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In this study, illiteracy is positively associates with visual impairment which was similar that found by other studies done in China [25], rural area of Karntaka India [27], Cape Town, South Africa [16], Southern Mexico [26]. The possible reason for this trend of VI may be poor health related behaviors in illiterates [28].
Age ≥ 40–64 years are positively associated with VI which was supported by studies done in Singapore [29], South Africa [16], China [25], South Korea [21] Western Cameroon [30], Southern Mexico [26], and Nigeria [18] that may be related to an increased prevalence of age related eye diseases and degenerations in these age groups [31].
History of trauma to the eye had 4 times more likely to have VI which can be explained due to deterioration of the eye structure, functional loss and exposure to ocular infections following trauma.
Visual impairment in adults with family history of eye problems is nearly 7 times higher than no family history which may be due to inheritance of genetic factors.
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In adults within > 5 family size is nearly 4 times more likely to have VI compared to those adults within < 2 family size which can be explained due to difficulty to cater for the provision of food, health service use, education and low standard of leaving for the siblings in such large families [32].
Since community based study on the presenting visual acuity was not conducted in the study area or other similar areas which had related population characteristics and methodology of the current study, 50% proportion of sample size determination might overestimated the prevalence. In addition this study might have an inheritance limitations of the cross-sectional study design and information bias due to the tools that used to collect ocular trauma history and family ocular history. Because of the study used broad cigarette smoking categories from references different from the study area, the result might have a limitation to signify the variable in the study area.
Conclusion
Prevalence of visual impairment was significant public health problem among adults at Debre Berhan town. Advanced age, history of eye trauma, illiteracy, large family size and family history of eye problems were positively associates with visual impairment.
Acknowledgements
We are deeply indebted University of Gondar for gave ethical clearance to conduct this research. We would also like to acknowledge study participants for their cooperation and willingness in the whole data collection offer.
Ethics approval and consent to participate
Ethical clearance was obtained from University of Gondar College of Medicine and Health Science School of Medicine ethical review committee and written letter of permission was obtained from Debre Berhan town woreda health office. Written informed consent was obtained from each study participants after explaining the purpose of the study. They had full right to participate and to refuse or with draw at any time they want from the study.
Consent for publication
Not applicable
Competing interests
All the authors declared no any potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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