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Global magnitude of visual impairment caused by uncorrected refractive errors in 2004

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Estimates of the prevalence of visual impairment caused by uncorrected refractive errors in 2004 have been determined at regional and global levels for people aged 5 years and over from recent published and unpublished surveys. The estimates were based on the prevalence of visual acuity of less than 6/18 in the better eye with the currently available refractive correction that could be improved to equal to or better than 6/18 by refraction or pinhole. A total of 153 million people (range of uncertainty: 123 million to 184 million) are estimated to be visually impaired from uncorrected refractive errors, of whom eight million are blind. This cause of visual impairment has been overlooked in previous estimates that were based on best-corrected vision. Combined with the 161 million people visually impaired estimated in 2002 according to best-corrected vision, 314 million people are visually impaired from all causes: uncorrected refractive errors become the main cause of low vision and the second cause of blindness. Uncorrected refractive errors can hamper performance at school, reduce employability and productivity, and generally impair quality of life. Yet the correction of refractive errors with appropriate spectacles is among the most cost-effective interventions in eye health care. The results presented in this paper help to unearth a formerly hidden problem of public health dimensions and promote policy development and implementation, programmatic decision-making and corrective interventions, as well as stimulate research.
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63
Bulletin of the World Health Organization | January 2008, 86 (1)
Abstract Estimates of the prevalence of visual impairment caused by uncorrected refractive errors in 2004 have been determined at
regional and global levels for people aged 5 years and over from recent published and unpublished surveys. The estimates were based
on the prevalence of visual acuity of less than 6/18 in the better eye with the currently available refractive correction that could be
improved to equal to or better than 6/18 by refraction or pinhole.
A total of 153 million people (range of uncertainty: 123 million to 184 million) are estimated to be visually impaired from
uncorrected refractive errors, of whom eight million are blind. This cause of visual impairment has been overlooked in previous
estimates that were based on best-corrected vision. Combined with the 161 million people visually impaired estimated in 2002
according to best-corrected vision, 314 million people are visually impaired from all causes: uncorrected refractive errors become the
main cause of low vision and the second cause of blindness.
Uncorrected refractive errors can hamper performance at school, reduce employability and productivity, and generally impair quality
of life. Yet the correction of refractive errors with appropriate spectacles is among the most cost-effective interventions in eye health care.
The results presented in this paper help to unearth a formerly hidden problem of public health dimensions and promote policy
development and implementation, programmatic decision-making and corrective interventions, as well as stimulate research.
Bulletin of the World Health Organization 2008;86:63–70.
Une traduction en français de ce résumé figure à la fin de l’article. Al final del artículo se facilita una traducción al español.
Global magnitude of visual impairment caused by uncorrected
refractive errors in 2004
Serge Resnikoff,a Donatella Pascolini,a Silvio P Mariotti a & Gopal P Pokharela
         
a Chronic Disease Prevention and Management, WHO, 20 avenue Appia, 1211 Geneva 27, Switzerland.
Correspondence to Serge Resnikoff (e-mail: resnikoffs@who.int).
doi:10.2471/BLT.07.041210
(Submitted: 11 February 2007 – Revised version received: 28 May 2007 – Accepted: 11 June 2007 – Published online: 16 November 2007 )
Introduction
Refractive errors (myopia, hyperopia
and astigmatism; presbyopia is not in-
cluded in this study given the present
paucity of data, but it is recognized that
uncorrected, it could lead to an impaired
quality of life) affect a large proportion
of the population worldwide, irrespec-
tive of age, sex and ethnic group. Such
refractive errors can be easily diagnosed,
measured and corrected with spectacles
or other refractive corrections to attain
normal vision. If, however, they are
not corrected or the correction is inad-
equate, refractive errors become a major
cause of low vision and even blindness
(for a selection of studies, see http://ftp.
who.int/nmh/references/RE-estimates-
references.pdf).
Visual impairment from uncor-
rected refractive errors can have imme-
diate and long-term consequences in
children and adults, such as lost educa-
tional and employment opportunities,
lost economic gain for individuals, fami-
lies and societies, and impaired quality
of life. Various factors are responsible for
refractive errors remaining uncorrected:
lack of awareness and recognition of the
problem at personal and family level, as
well as at community and public health
level; non-availability of and/or inability
to afford refractive services for testing;
insufficient provision of affordable cor-
rective lenses; and cultural disincentives
to compliance.
e definition of visual impairment
in the International statistical classifica-
tion of diseases, injuries and causes of
death, 10th revision (ICD-10), H54,
is based on “best-corrected” vision, i.e.
visual acuity obtained with the best pos-
sible refractive correction.1 However, to
assess the extent of visual impairment
caused by uncorrected refractive errors,
estimates need to be based on “present-
ing” vision, i.e. visual acuity obtained
with currently available refractive cor-
rection, if any. us, presenting vision,
as opposed to best-corrected vision,
provides the prevalence of visual impair-
ment that could be improved simply by
appropriate corrective refraction. Basing
the definition of visual impairment on
presenting vision extends the current
definition to one that characterizes visual
impairment faced by people in day-to-
day activities.
Using best-corrected vision, visual
impairment was estimated to affect 161
million people globally in 2002, of
whom 37 million were blind.2 e main
cause of blindness and low vision was
cataract; however, it was recognized
that unless uncorrected refractive errors
were included among the causes, visual
impairment at global level was signifi-
cantly underestimated.
is paper presents the estimate
of the prevalence of visual impairment
from uncorrected refractive errors for all
ages over 5 years at regional and global
levels, based on recent published and
unpublished surveys. Some results from
this paper were reported in a WHO
press release on 11 October 2006 to
mark World Sight Day.3
Methods
Definitions
Presenting vision is defined by the visual
acuity in the better eye using currently
available refractive correction, if any.
Policy and practice
Global visual impairment caused by uncorrected refractive errors
64
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
Best-corrected vision is the visual acuity
in the better eye achieved by subjects
tested with pinhole or refraction.
Visual impairment caused by un-
corrected or inadequately corrected re-
fractive errors is defined as visual acuity
of less than 6/18 in the better eye that
could be improved to equal to or better
than 6/18 by refraction or pinhole, thus
spanning the low vision and blindness
categories as currently defined in the
ICD-10.
It should be noted that in the
revision of the ICD-10 categories of
visual impairment proposed in 2003 by
a WHO consultation on the develop-
ment of standards for characterization
of vision loss, low vision is replaced by
two categories: moderate visual impair-
ment (presenting visual acuity less than
6/18 but equal to or better than 6/60)
and severe visual impairment (presenting
visual acuity less than 6/60 but equal to
or better than 3/60).4
Population estimates and WHO
subregions
Estimates of population size and struc-
ture were based on the latest estimates
of world population (for 2004) in the
World population prospects: the 2004
revision; estimates of demographics were
based on the World urbanization pros-
pects 2003 both sources from the
United Nations Population Division.5,6
For the classification of WHO
Member States into 17 epidemiological
subregions, see Murray & Lopez, 1996.7
General inclusion criteria
e following criteria were used to select
studies.
e prevalence of best-corrected and •
presenting visual acuity of less than
6/18 had to be reported or, alterna-
tively, the distribution of causes of
presenting visual impairment.
In children, refractive diagnostics •
had to be determined by objective
refraction under cycloplegia plus sub-
jective refraction.8
e studies had to be population-•
based, representative of the area
sampled, with definitions of visual
impairment clearly stated. Studies
with inadequate sample sizes and re-
sponse rate were not included.
Data reported only for eyes or for •
the worse eye could not be included
in the estimates calculated for people
and the better eye.
For further discussion of selection cri-
teria, see Resnikoff et al.,2 and Pascolini
et al., 2004.9
Sources of epidemiological data
Literature sources were searched sys-
tematically in Medline up to April
2006. Most surveys meeting the selec-
tion criteria were conducted within the
past five years; the earliest surveys date
from 1995. Unpublished data were
provided by academic institutions and
national programmes for the prevention
of blindness.
Table 1 shows the 31 countries for
which surveys that met the selection
criteria were available, the bibliography
can be found at http://ftp.who.int/nmh/
references/RE-estimates-references.pdf
and in the WHO Prevention of Blind-
ness and Deafness Programme’s global
data on visual impairment.10
For the age group 5–15 years, 16
surveys were found to fit the selection
criteria. Of these, 10 were conducted
in different countries using a specially
designed protocol to estimate the preva-
lence of visual impairment from uncor-
rected refractive errors (the refractive
error study in children (RESC; see
Négrel et al., 2000, for the details of the
protocol).11 e RESC studies provided
extensive information on visual acuity,
refractive errors and use of spectacles.
For the age group 50 years and
older, 38 surveys met the inclusion cri-
teria. Of these, 30 were surveys for the
Table 1. Surveys used to estimate global visual impairment from uncorrected
refractive errors by WHO subregion, 2004
WHO subregiona,b Number of
surveys
Countries
Afr-D 2 Mali, Mauritania
Afr-E 1 South Africa
Amr-A 3 United States of America
Amr-B 5 Argentina, Brazil, Chile, Paraguay, Venezuela
(Bolivarian Republic of)
Amr-D 2 Guatemala, Peru
Emr-B 5 Iran (Islamic Republic of), Lebanon, Oman, Qatar
Eur-A 2 Ireland, Italy
Eur-B2 2 Armenia, Turkmenistan
Sear-B 6 Malaysia, Philippines, Singapore
Sear-D 13 Bangladesh, India, Nepal, Pakistan
Wpr-A 4 Australia
Wpr-B1 7 China
Wpr-B2 16 Cambodia, Myanmar, Viet Nam
a Afr, WHO African Region; Amr, WHO Region of the Americas; Emr, WHO Eastern Mediterranean Region;
Eur, WHO European Region; Sear, WHO South-East Asia Region; Wpr, WHO Western Pacific Region.
b In subregions Emr-D, Eur-B1, Eur-C and Wpr-B3, no population-based surveys met the selection criteria.
rapid assessment of cataract surgical
services (RACSS), which also provide
prevalence of presenting and best-
corrected visual acuity.12
An additional 14 surveys reported
age-specific prevalence of presenting vi-
sual impairment and its causes in other
age groups.
Estimation of prevalence of visual
impairment from uncorrected
refractive errors
For the age group from 5 to 15 years,
the prevalence is estimated by the dif-
ference between the prevalence of pre-
senting and best-corrected visual acuity
of less than 6/18 with refraction under
cycloplegia: this difference corresponds
to the prevalence of presenting visual
acuity that could be improved to equal
to or better than 6/18 by appropriate
correction. In the case of studies report-
ing only the prevalence of presenting
visual acuity, the prevalence of visual
impairment due to refractive error was
determined from the distribution of
causes determined in the surveys.
e prevalence for people aged
16–39 years was estimated to be the
same as that for those aged 5–15 years,
on the assumption that from the ages of
16 years to 39 years, the refractive status
generally does not undergo changes that
require further correction.13
e prevalence for people aged
40–49 years was either estimated from
Policy and practice
Global visual impairment caused by uncorrected refractive errors
65
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
the results of surveys that reported
age-specific data for this age group or
calculated by a linear fit between the
prevalence at age 39 and 55 years.
For the population aged 50 years
and older, the prevalence was estimated
from the difference between visual acu-
ity of less than 6/18 with the available
correction and visual acuity of less than
6/18 with best correction determined
using refraction or pinhole, assuming
that pinhole approximates complete
refraction.
Estimation of prevalence of
blindness from uncorrected
refractive errors
Uncorrected refractive errors in adults
aged 50 years and older have been
shown to lead to blindness in some
regions: the corresponding prevalence
of blindness was determined from the
difference between prevalence of pre-
senting and best-corrected visual acuity
of less than 3/60.
Blindness from uncorrected refrac-
tive errors was also reported in some
surveys for the age group 40–49 years.
Since there were insufficient data world-
wide, it was assumed that the global
number of people blind from this cause
in this age group was 5.13 times lower
than the corresponding number in
people aged 50 years and over, based on
the ratio of the total number of people
visually impaired 50 years and over and
those aged 40–49 years.
Estimation of refractive services
coverage
e RESC studies also report the preva-
lence of uncorrected visual acuity in the
age group 5–15 years: the prevalence
of uncorrected, presenting and best-
corrected visual acuity (VA < 6/18)
provides an estimate of the percentage
coverage of refractive services using the
formula:
100 – [ × 100]
(presenting VA –
best corrected VA)
(uncorrected VA –
best corrected VA)
Since percentage coverage is based on
presenting visual acuity, it is an esti-
mate of both the provision of refractive
services and the compliance to prescrip-
tion.
Extrapolations
Since data were not available for every
country, extrapolations were made to
estimate the global prevalence of visual
Table 2. Number of people visually impaired from uncorrected refractive errors and corresponding prevalence, by age group and
WHO subregion or country, 2004
WHO subregiona
or country
Age 5–15 years Age 16–39 years Age 40–49 years Age >50 years Total (5 to >50 years)
No. in millions
(prevalence %)
No. in millions
(prevalence %)
No. in millions
(prevalence %)
No. in millions
(prevalence %)
Population
in millions
No. in millions
(prevalence %)
Afr-D, Afr-E 0.534 (0.24) 0.683 (0.24) 0.647 (1.13) 4.529 (5.94) 640.4 6.393 (1.00)
Amr-A 0.501 (1.00) 1.098 (1.00) 0.810 (1.60) 3.417 (3.60) 305.4 5.826 (1.91)
Amr-B 0.709 (0.70) 1.331 (0.70) 0.998 (1.81) 3.204 (4.07) 432.4 6.242 (1.44)
Amr-D 0.137 (0.70) 0.209 (0.70) 0.127 (1.81) 0.486 (4.86) 66.4 0.959 (1.44)
Emr-B, Emr-D 0.405 (0.55) 0.688 (0.55) 0.356 (1.20) 1.708 (4.76) 264.3 3.157 (1.19)
Eur-A 0.516 (1.00) 1.379 (1.00) 0.991 (1.60) 5.289 (3.60) 398.3 8.175 (2.05)
Eur-B1, Eur-B2, Eur-C 0.721 (1.00) 1.740 (1.00) 1.065 (1.60) 3.335 (2.80) 431.7 6.861 (1.59)
Sear-B, Wpr-B1,
Wpr-B2, Wpr-B3
(China excluded)
1.098 (0.79) 1.806 (0.74) 1.244 (1.70) 4.511 (4.67) 554.0 8.659 (1.56)
Sear-D
(India excluded)
0.606 (0.63) 0.986 (0.73) 0.909 (2.39) 9.295 (19.45) 317.5 11.796 (3.71)
Wpr-A 0.034 (0.20) 0.097 (0.20) 0.039 (0.20) 1.177 (1.99) 144.4 1.347 (0.93)
China 5.940 (2.66) 14.414 (2.66) 7.209 (3.95) 26.903 (9.61) 1229.0 54.466 (4.43)
India 1.610 (0.63) 2.695 (0.63) 4.042 (3.39) 30.970 (18.70) 966.9 39.317 (4.07)
World 12.811 (0.97) 27.126 (1.11) 18.437 (2.43) 94.824 (7.83) 5750.7 153.198 (2.67)
a See Table 1, footnote a.
impairment from uncorrected refractive
errors. e rationale for the extrapola-
tions was the similarity of the epidemi-
ology of refractive errors, the availability
and/or affordability of refractive services
and compliance. Various kinds of ex-
trapolations were made, based on the
data selected:
the prevalence in urban and rural •
areas within a country was extrapo-
lated to all urban and rural areas, re-
spectively, of the country; the coun-
try prevalence was determined by
weighting the prevalence by the ru-
ral–urban distribution of the popu-
lation;
in subregions with data from several •
countries, an average prevalence was
determined and applied to all other
countries in the subregion. e av-
erage was calculated by weighting
the prevalence from the countries by
their share of the population in the
subregion and taking into account
the urban and rural distribution of
the population;
in the case of whole subregions lack-•
ing data, the prevalence was extrapo-
lated from other subregions with
similar epidemiology of refractive
errors and with similar WHO epide-
miological classification.6
Policy and practice
Global visual impairment caused by uncorrected refractive errors
66
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
For China and India, estimates were
made separately because of the popula-
tion size. Some subregions estimated to
have similar prevalence of visual impair-
ment from uncorrected refractive errors
and provision of refractive services were
combined.
Results
Prevalence of visual impairment
from uncorrected refractive errors
by age and subregion
It is estimated that globally 153 million
people over 5 years of age are visually
impaired as a result of uncorrected re-
fractive errors, of whom 8 million are
blind. Table 2 shows the number of
people in the WHO subregions with vi-
sual impairment from this cause and the
corresponding prevalence by age. ere
is no evidence of visual impairment
caused by uncorrected refractive errors
in children aged less than 5 years.
From the data reported in surveys it
was not possible to distinguish conclu-
sively between the prevalence of male
and female cases of uncorrected refrac-
tive errors for any of the age groups.
Some 12.8 million in the age group
5–15 years are visually impaired from un-
corrected or inadequately corrected refrac-
tive errors, a global prevalence of 0.96%,
with the highest prevalence reported in
urban and highly developed urban areas
in south-east Asia and in China.
e number of people aged 16–39
years visually impaired from uncorrected
refractive errors is 27 million, a prevalence
of 1.1% globally.is could, however, be
an underestimate, being derived directly
from the prevalence in the age group 5–15
years, although the prevalence of refrac-
tive errors, especially myopia, is higher
between the ages of 13 and 18 years.
e prevalence in people aged
40–49 years globally is 2.45%; it is high
in subregions or countries where the
prevalence for people aged 50 years and
older is also high. Almost 95 million
people aged 50 years and older are visu-
ally impaired from uncorrected refrac-
tive errors: the prevalence is between
2% and 5% in most regions of the
world, but is almost 10% in China and
almost 20% in India and in Sear-D
(WHO subregions defined in Murray
& Lopez, 1996).7
Of the 95 million people aged
50 years and older visually impaired
from uncorrected refractive errors, 6.9
million are blind (Table 3). Based on
this, it is estimated that 1.3 million
people in the age group 40–49 years are
blind from uncorrected refractive errors.
ere was no evidence in any surveys of
significant blindness in the age groups
5–15 years and 16–39 years.
e average coverage of refractive
corrections calculated from the RESC
studies for visual acuity cut-off point of
less than 6/18 is shown in Table 4.
Discussion
Limitations: uncertainties of the
data and extrapolations
e sampling and examination methods
in the RESC studies were designed to
produce results that could be directly
compared between countries: for pre-
senting visual acuity of less than 6/18,
the uncertainties given were between
20% and 25%. ese uncertainties in
turn affect the estimates for the age
group 16–39 years, which are based
on the results for the age group 5–15
years. e uncertainties reported in the
RACSS studies are between 15% and
25% for the prevalence of visual acuity
of less than 6/18; other studies reported
Table 3. Blindness from uncorrected refractive errors in adults aged 50 years and
older, by WHO subregion or country, 2004
WHO subregiona
or country
Population
type
Millions of adults >50 years blind from
uncorrected refractive errorsb
Afr-D, Afr-E 1.250 (1.64)
Amr-A – NRB
Amr-B 0.233 (0.3)
Amr-D 0.075 (0.75)
Emr-B, Emr-D Rural 0.142 (0.95)
Urban 0.084 (0.4)
Eur-A – NRB
Eur-B1, Eur-B2, Eur-C NRB
Sear-B, Wpr-B2, Wpr-B3 0.319 (0.26)
Sear-D and Myanmar
(India excluded)
0.834 (1.74)
Wpr-A – NRB
Wpr-B1
(China excluded)
0.032 (0.2)
China Rural 0.528 (0.33)
Urban 0.240 (0.2)
India 3.147 (1.9)
World 6.884 (0.57)
NRB, no reported blindness.
a See Table 1, footnote a.
b Figures in parentheses are prevalence percentages.
uncertainties from 15% to more than
20%. In all the studies, the uncertain-
ties become higher for the prevalence of
visual impairment of less than 3/60.
e assumption that in adults the
measurement of visual acuity with pin-
hole approximates the results obtainable
with full refraction brings some addi-
tional bias to the estimates.14
Significant limitations are intro-
duced by the need to extrapolate the
prevalence and provision of services data
from one rural or urban area to all rural
and urban areas in a country or sub-
region, as well as from one country to
other countries, or from one country to
whole subregions. Some extrapolations
could be particularly prone to error, as
in the case of countries such as China
or India, for which extrapolations are
made for very large populations, or in
the case of subregions with scarce data,
such as Eur-B1, Eur-B2 and Eur-C
(WHO subregions defined in Murray
& Lopez, 1996).7
To check the consistency of the
extrapolations, the estimates were veri-
fied using studies that did not fit the
inclusion criteria due to the visual acu-
ity ranges or the testing and reporting
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Global visual impairment caused by uncorrected refractive errors
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Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
Table 4. Estimated average coverage of refractive services for age group 5–15 years,
by WHO subregion or country, 2004
WHO subregiona
or country
Population type Coverage of refractive services
for age group 5–15 years (%)
Visual acuity <6/18
Afr-D, Afr-E Rural and urban 30
Amr-A – –
Amr-B, Amr-D Rural 30
Urban 45
Emr-B, Emr-D Rural 45
Urban 80
Eur-A – –
Eur-B1, Eur-B2, Eur-C
Sear-B, Sear-D, Wpr-B1,
Wpr-B2, Wpr-B3
(China and India excluded)
Rural 30
Urban 55
Most developed urban 80
Wpr-A – –
China Rural 45
Urban 85
Rural, 13–17 years 70
India Rural 30
Urban 55
a See Table 1, footnote a.
methods used. Studies on the epide-
miology of refractive errors have also
been taken into consideration in all
extrapolations.
e assumptions and extrapola-
tions were reviewed by a group of inde-
pendent experts convened by the WHO
Prevention of Blindness Programme.15
Extent of visual impairment from
uncorrected refractive errors
worldwide
Uncorrected refractive errors are a major
cause of blindness and low vision: it
is estimated that 8 million people are
blind and 145 million have low vision
because of lack of adequate refractive
correction (Table 5). e uncertain-
ties associated with the data and the
extrapolations can lead to overestimates
as well as underestimates of thesegures:
if the uncertainties are estimated at
20%, the total of 153 million could vary
from 123 million to 184 million.
e estimate of visual impairment
caused by uncorrected refractive errors
presented in this paper confirms that the
problem is of public health concern, as
emphasized previously.16,17 is finding
is significant considering that refractive
errors could be easily diagnosed and that
spectacle correction is among the most
cost-effective interventions in eye care.
Global causes of visual
impairment
If blindness and low vision from uncor-
rected refractive errors (this paper) and
from all other causes (2002 estimate)
are combined, 314 million people are
visually impaired globally (Table 5).
Uncorrected refractive errors are the
second cause of blindness after cataract
(Fig. 1) and the main cause of low vision:
overall, they are the cause of almost half
of all visual impairment.
Given the magnitude of the prob-
lem, uncorrected refractive errors need
Table 5. Global estimate of number of people visually impaired, 2004
Category of
impairment
Number of people visually impaired (in millions)
from uncorrected
refractive errors
from all other causes,
2002 estimatea
from all
causes
Blind 8.226 36.857 45.083
Low vision 144.972 124.264 269.236
Visual impairment 153.198 161.121 314.319
a These estimates were based on best-corrected visual acuity and the population in 2002: the global
population change from 2002 to 2004 is estimated to be around 3%.
to be assessed and reported as a cause of
visual impairment. It is expected that
the ICD-10 definition of visual impair-
ment will include, from the next revi-
sion in 2009, presenting vision along
with the currently used best-corrected
vision.
Reasons why refractive errors
remain uncorrected
In the age group 5–15 years, non-
correction of refractive errors is due to
several factors: the lack of screening,
and the availability and affordability of
refractive corrections are the most im-
portant. However, cultural disincentives
also play a role, as shown in surveys
from countries where routine screen-
ing and provision of corrections are
free of charge or easily accessible, but
compliance remains low (S Wedner,
unpublished observations, 2006).18,19
Perhaps one of the most remarkable
findings in this study is that even in
economically advantaged societies,
refractive errors can go undetected or
uncorrected in children.20
e estimated number of people
aged 50 years and older visually im-
paired from uncorrected refractive
errors is over 94 million, a figure that
could be an underestimate, being based
in part on studies that used only pinhole
in place of full refraction.14 In coun-
tries where the prevalence is very high,
important underlying causes are index
myopia caused by cataract, uncorrected
aphakia and insufficient intra-ocular
lens correction.21,22 is is particularly
true in rural areas.
For the age group 5–15 years, the
prevalence of visual impairment from
uncorrected refractive errors in some
regions appears to be higher in urban
areas than in rural areas, despite the
reported better access to services. is
may be due to a high incidence of myo-
pia in these populations: it is suggested
that there may be a direct cause–effect
relation between increased access to
Policy and practice
Global visual impairment caused by uncorrected refractive errors
68
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
Résumé
Prévalence mondiale des déficiences visuelles dues à des défauts de réfraction non corrigés en 2004
Des estimations mondiales et régionales pour l’année 2004 de
la prévalence des déficiences visuelles dues à des défauts de
réfraction non corrigés chez les plus de 5 ans ont été établies à
partir d’enquêtes récentes publiées et non publiées. Ces estimations
ont été obtenues d’après la prévalence d’une acuité visuelle
inférieure à 6/18 pour le meilleur des deux yeux avec la correction
réfractive actuellement disponible, susceptible d’être ramenée à
une valeur supérieure ou égale à 6/18 par une correction réfractive
ou un trou sténopéique.
On estime à 153 millions (plage d’incertitude : 123 à 184
millions) le nombre total de personnes souffrant d’une déficience
visuelle due à un défaut de réfraction non corrigé, dont huit millions
d’aveugles. La cause de la déficience visuelle a été laissée de côté
dans les estimations antérieures reposant sur la meilleure vision
corrigée. Si l’on combine ce chiffre à l’estimation de 2002 du
nombre d’individus déficients visuels établie d’après la meilleure
vision corrigée, 314 millions de personne présentent une déficience
visuelle toutes causes confondues, les défauts de réfraction non
corrigés devenant la principale cause de mauvaise vision et la
seconde cause de cécité.
Les défauts de réfraction non corrigés peuvent nuire aux
résultats scolaires, réduire la capacité à occuper un emploi et
la productivité et, de manière générale, détériorer la qualité de
vie. La correction des défauts de réfraction par des lunettes
adaptées reste l’intervention la plus rentable en termes de soins
ophtalmologiques.
Les résultats présentés dans cet article contribuent à faire
ressortir un ample problème de santé publique formellement
masqué, à favoriser le développement et la mise en œuvre de
politiques, ainsi que la prise de décisions programmatiques et de
mesures correctives, et à stimuler la recherche.
Fig. 1. Global causes of blindness as a percentage of total blindness, 2004
Cataract
Uncorrected
refractive error
Glaucoma
Age-related
macular degeneration
Corneal opacities
Diabetic retinopathy
Childhood blindness
Trachoma
Onchocerciasis
Other
39.1
18.2
10.1
7.1
4.2
3.9
3.2
2.9
0.7
10.6
education and myopia, but other secular
changes could be contributing factors.
In this age group the prevalence of
myopia reported in studies that used
the same definitions and cut-off levels
ranges from 3% to 35%, hypermetropia
from 0.4% to 17%, astigmatism from
2.2% to 34% depending on the region
and on the urban/rural setting.
e coverage of refractive correc-
tions determined from the RESC stud-
ies is less than or around 50% in most
regions of the world; urban areas have,
as expected, better service coverage than
rural areas (Table 4).
Conclusions
ese findings warrant the urgent
implementation of the following fun-
damental policies.
Screening of children for refractive •
errors should be conducted at com-
munity level and integrated into
school health programmes, accom-
panied by education and awareness
campaigns to ensure that the cor-
rections are used and cultural barri-
ers to compliance are addressed and
removed.
As the cost of refractive corrections •
is still high compared with the per-
sonal and family resources in many
regions, corrections must be acces-
sible and affordable for people of all
ages.
Eye-care personnel should be trained •
in refraction techniques. Training
and information programmes should
also be designed for teachers and
school health-care workers.
Reliable and affordable equipment •
for refractive assessments should be
developed.
Refraction services need to be inte-•
grated with eye-care systems and in-
cluded as a part of cataract surgery
services.
Impairment from uncorrected re-•
fractive errors, provision of refrac-
tive services and outcomes of the
provisions should be monitored at
national level to identify communi-
ties in need and evaluate the most
cost-effective interventions.
Another aspect of visual functioning
that has not been discussed in this pa-
per is near vision: the unmet need of
correction of presbyopia is currently
unknown and should be assessed and
included in future estimates of visual
impairment.
Acknowledgements
e authors would like to acknowledge
the contribution of the WHO Refrac-
tive Errors Working Group. is study
was supported financially by a grant
from the World Optometry Founda-
tion of the World Council of Optom-
etry. Particular appreciation is due to
all experts from around the world who
have generously provided survey re-
ports, journal articles and unpublished
results.
Competing interests: None declared.
Policy and practice
Global visual impairment caused by uncorrected refractive errors
69
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
Resumen
Magnitud mundial de las discapacidades visuales por defectos de refracción no corregidos en 2004
Se ha estimado la prevalencia de las discapacidades visuales
causadas por los defectos de refracción no corregidos en 2004 a
nivel regional y mundial en la población de 5 o más años a partir
de encuestas recientes publicadas o inéditas. Las estimaciones
se basaron en la prevalencia de una agudeza visual inferior a
6/18 en el mejor ojo con la corrección refractiva del momento,
pero mejorable hasta 6/18 o más con medidas de corrección de
la refracción o con un agujero estenopeico.
Se estima que un total de 153 millones de personas
(interva lo de inc ert idumbre: 123 - 184 mill ones) sufr en
discapacidad visual como consecuencia de defectos de refracción
no corregidos, incluidos ocho millones que padecen ceguera.
Esta causa de discapacidad visual no se ha tenido debidamente
en cuenta en estimaciones anteriores basadas en la mejor visión
corregida. Si se suman a ello los 161 millones de personas con
discapacidad visual estimados en 2002 de acuerdo con el criterio
de la mejor visión corregida, se obtiene un total de 314 millones
de personas con discapacidad visual por todas las causas: los
defectos de refracción no corregidos se convierten así en la
principal causa de disminución de la agudeza visual y la segunda
causa de ceguera.
Los defectos de refracción no corregidos pueden reducir el
rendimiento escolar, la empleabilidad y la productividad, y por lo
general merman la calidad de vida. Sin embargo, la corrección de esos
defectos con unas gafas apropiadas es una de las intervenciones
más costoeficaces de la atención oftalmológica.
Los resultados aquí presentados pueden contribuir a hacer
aflorar un problema hasta ahora oculto de gran trascendencia
en el campo de la salud pública, y promover la formulación y
ejecución de políticas, la toma de decisiones programáticas, las
intervenciones correctivas y la realización de investigaciones en
ese terreno.
References
International statistical classification of diseases, injuries and causes of 1.
death, tenth revision. Geneva: WHO; 1993.
Resnikoff S, Pascolini D, Etya’ale D, Kocur I, Pararajasegaram R, Pokharel GP, 2.
et al. Global data on visual impairment in the year 2002. Bull World Health
Organ 2004;82:844-51. PMID:15640920
Sight test and glasses could dramatically improve the lives of 150 million 3.
people with poor vision [WHO news release, 11 October 2006]. Geneva: WHO;
2006. Available at: http://www.who.int/mediacentre/news/releases/2006/
pr55/en/index.html
Prevention of Blindness and Deafness. 4. Consultation on development of
standards for characterization of vision loss and visual functioning. Geneva,
4–5 September 2003. Geneva: WHO; 2003 (WHO/PBL/03.91).
World population prospects: the 2004 revision5. [CD-ROM edition – extended
dataset]. New York: United Nations; 2005.
World urbanization prospects: the 2003 revision6. . New York: United Nations;
2004.
Murray CJL, Lopez AD, eds. 7. The global burden of disease: a comprehensive
assessment of mortality and disability from diseases, injuries and risk factors
in 1990 and projected to 2020 [Global Burden of Disease and Injury Series,
Vol. 1]. Cambridge: Harvard School of Public Health on behalf of the World
Health Organization and the World Bank; 1996.
Zhao J, Mao J, Luo R, Li F, Pokharel GP, Ellwein LB. Accuracy of noncycloplegic 8.
autorefraction in school-age children in China. Optom Vis Sci 2004;81:49-55.
PMID:14747761 doi:10.1097/00006324-200401000-00010
Pascolini D, Mariotti SP, Pokharel GP, Pararajasegaram R, Etya’ale D, 9.
Négrel AD, et al. 2002 global update of available data on visual impairment:
a compilation of population-based prevalence studies. Ophthalmic Epidemiol
2004;11:67-115. PMID:15255026 doi:10.1076/opep.11.2.67.28158
Prevention of Blindness and Deafness. 10. Available data on blindness, update
2006. Geneva: WHO; 2006. Available at: http://www.who.int/blindness/
publications/global_data.pdf
Négrel AD, Maul E, Pokharel GP, Zhao J, Ellwein LB. Refractive error study 11.
in children: sampling and measurement methods for a multi-country survey.
Am J Ophthalmol 2000;129:421-6. PMID:10764848 doi:10.1016/S0002-
9394(99)00455-9
Limburg H, Kumar R, Indrayan A, Sundaram KR. Rapid assessment of 12.
prevalence of cataract blindness at district level. Int J Epidemiol 1997;
26:1049-54. PMID:9363527 doi:10.1093/ije/26.5.1049
Weale RA. Epidemiology of refractive errors and presbyopia. 13. Surv Ophthalmol
2003;48:515-43. PMID:14499819 doi:10.1016/S0039-6257(03)00086-9
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.       
          
        
       
.
Policy and practice
Global visual impairment caused by uncorrected refractive errors
70
Serge Resnikoff et al.
Bulletin of the World Health Organization | January 2008, 86 (1)
Thulasiraj RD, Nirmalan PK, Ramakrishnan R, Krishnadas R, Manimekalai TK, 14.
Baburajan NP, et al. Blindness and vision impairment in a rural south Indian
population: the Aravind Comprehensive Eye Survey. Ophthalmology 2003;
110:1491-8. PMID:12917162 doi:10.1016/S0161-6420(03)00565-7
Prevention of Blindness and Deafness. 15. Elimination of avoidable visual
disability due to refractive errors. Report of an informal planning meeting.
Geneva, 3–5 July 2000. Geneva: WHO; 2001 (WHO/PBL/00.79).
Thylefors B. A global initiative for the elimination of avoidable blindness. 16.
Am J Ophthalmol
1998;125:90-3. PMID:9437318 doi:10.1016/S0002-
9394(99)80239-6
Dandona R, Dandona L. Refractive error blindness. 17. Bull World Health Organ
2001;79:237-43. PMID:11285669
Preslan MW, Novak A. Baltimore vision screening project. Phase 2. 18.
Ophthalmology 1998;105:150-3. PMID:9442791 doi:10.1016/S0161-
6420(98)91813-9
Khandekar R, Mohammed AJ, Al Raisi A. The compliance of spectacle wear 19.
and its determinants among school children of Dhakhiliya region of the
Sultanate of Oman. A descriptive study. Sultan Qaboos University Journal for
Scientific Research & Medical Sciences 2002;4:39-42.
Vitale S, Cotch MF, Sperduto RD. Prevalence of visual impairment in the 20.
United States. JAMA 2006;295:2158-63. PMID:16684986 doi:10.1001/
jama.295.18.2158
Bourne RRA, Dineen BP, Ali SM, Noorul Huq DM, Johnson GJ. Prevalence 21.
of refractive error in Bangladeshi adults. Results of the National Blindness
and Low Vision Survey of Bangladesh. Ophthalmology 2004;111:1150-60.
PMID:15177965 doi:10.1016/j.ophtha.2003.09.046
Murthy GVS, Gupta S, Tewari HK, Jose R, Bachani D. 22. National survey on
blindness and visual outcomes after cataract surgery. 2001–2002. Report.
New Delhi: National Programme for Control of Blindness, Directorate General
of Health Services, Ministry of Health and Family Welfare, Government of
India; 2002.
... It is considered a public health challenge. According to the World Health Organization (WHO), uncorrected refractive errors are the second common cause of blindness after cataract [1]. ...
... A study conducted in Sri Lanka found that 67% of adults had refractive errors [1]. Lack of knowledge, stigma and erroneous beliefs towards refractive errors play a major role in the uptake of services provided for refractive errors in different continents [4]. ...
Article
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Background:Refractive errors are preventable and is an easily treatable visual impairment that is especially common among children and adolescents and if uncorrected can lead to severe consequences. Our aim is to describe the prevalence and knowledge of refractive errors and determine the factors associated with refractive errors among grade 9 students in selected schools in Colombo district.Methods: A cross sectional study was carried out among 120 grade 9 students sampled using a cluster sampling method from two selected schools in the Colombo district. Students completed a self-administered questionnaire. Visual acuity was measured using Snellen’s E chart at 6 meters. For those whose vision was less than or equal to 6/12, pinhole examination was performed to confirm refractive error as the cause for visual impairment. Students with spectacles were tested with and without spectacles. Data was analyzed using SPSS software.Results: Out of the students, 53.3% were females with a median age of 13. The prevalence of refractive errors was 28.3% (CI at 95%; 20.5-37.2) while the prevalence of uncorrected refractive errors was 18.3% (CI at 95%; 11.9-26.4). Overall, 94.2% were found to have a poor knowledge regarding refractive errors. Having both parents and a sibling wearing spectacles, being a resident of Colombo district and sleeping for more than 6 hours a day were found to be significantly associated with the presence of a refractive error (p<0.05)Conclusion: Prevalence of refractive errors in this study population was high. Factors associated with refractive errors could be utilized in planning preventive programme.
... Due to its increasing prevalence, myopia, a type of refractive error, has become a global public health problem. Globally, 10%-30% of adults suffer from myopia, and in the United States and Europe, the prevalence of myopia among young adults is higher at 40%-50%, with even higher prevalence rates of 80%-90% in some countries in East Asia and Southeast Asia [1][2][3][4][5][6][7][8]. Myopia is also strongly associated with a number of ocular diseases, such as cataracts, glaucoma and myopic macular degeneration [9]. ...
Article
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Background This study investigated how clinical and genetic factors impact the effectiveness of orthokeratology lenses in myopia. Methods A retrospective clinical study was conducted with a sample of 545 children aged 8–12 years who had myopia and have initially worn orthokeratology lenses for one year. Whole-genome sequencing (WGS) was also performed on 60 participants in two groups, one with rapid axial length (AL) progression of larger than 0.33 mm and the other with slow AL progression of less than 0.09 mm. The RetNet database was used to screen candidate genes that may contribute to the effectiveness of orthokeratology lenses in controlling myopia. Results Children with greater baseline AL, greater spherical equivalent (SE) and greater age had better myopia control with orthokeratology lenses. A significant excess of nonsynonymous variants was observed among those with slow myopia progression, and these were prominently enriched in retinal disease-related genes. Subsequently, RIMS2 [odds ratio (OR) = 0.01, P = 0.0097] and LCA5 (OR = 9.27, P = 0.0089) were found to harbor an excess number of nonsynonymous variants in patients with slow progression of high myopia. Two intronic common variants rs36006402 in SLC7A14 and rs2285814 in CLUAP 1 were strongly associated with AL growth. The identification of these novel genes associated with the effectiveness of orthokeratology lens therapy in myopic children provides insight into the genetic mechanism of orthokeratology treatment. Conclusion The effectiveness of orthokeratology lens treatment relates to interindividual variability in the control of AL growth in myopic eyes. The efficacy increased when patients carried more nonsynonymous variants in retinal disease-related gene sets. These data serve as reference for genetic counselling and the management of patients who choose orthokeratology lenses to control myopia.
... The global myopia population is estimated to reach 4758 million by 2050, including 938 million patients with high myopia [1]. Southeast Asia and China have the highest prevalence rate of myopia [2]. In addition to the inconvenience in performing daily activities caused by corrective spectacles, myopia-related complications such as retinal detachment, choroidal neovascularization, and macular hemorrhage may result in an irreversible loss of vision [3,4]. ...
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Purpose To investigate the correlation of contrast sensitivity function (CSF) with myopic shift in Chinese children. Methods This prospective case-series study included 62 eyes (31 children) who visited the Eye and ENT Hospital of Fudan University in January 2022 and were followed up for 6 months. Routine ophthalmic examinations and quantitative CSF (qCSF) tests without refractive correction were performed. Differences in CSF parameters, including the area under the log CSF (AULCSF), CSF acuity, and contrast sensitivity (CS) at 1.0–18.0 cpd, were compared between two groups stratified according to the myopic shift based on mydriatic spherical equivalent (<-0.50 D or ≥-0.50 D) during follow-up. Results The myopia progressed by 0.13 ± 0.24 and 1.18 ± 0.75 D in the stabilized (28 eyes) and advanced (34 eyes) groups, respectively. Compared with the advanced group, the stabilized group showed significantly lower baseline qCSF test results for CSF acuity and CS at 1.0 and 1.5 cpd. The qCSF readings for CSF acuity and CS at 1.0, 1.5, and 3.0 cpd increased significantly during the 6-month follow-up in the stabilized group, while these values showed non-significant decreases in the advanced group. CS at 3.0 cpd was significantly correlated with myopic shift. Compared with the advanced group, participants in the stabilized group with higher myopia showed relatively significantly lower CS (baseline CSF acuity and CS at 1.0, 1.5, and 3.0 cpd). Conclusions Children with relatively slower myopic shift showed lower contrast sensitivity at low spatial frequencies, which might be an effective factor in myopia control.
... The World Health Organization recognizes uncorrected myopia as a major cause of visual impairment worldwide. 1 Furthermore, the degree of myopia is associated with an increased risk of various ocular and systemic diseases. 2 Pathological myopia, often observed in highly myopic eyes, is among the leading causes of irreversible visual impairment and blindness among middle-aged and older individuals worldwide. ...
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Purpose To determine the prevalence and annual trend of the number of incident cases of myopia and high myopia in children. Design A nationwide, comprehensive claims database study. Participants Of 15 million children aged ≤14 years, those covered by the universal health insurance were included. The validation study of the claims-based definitions of myopia and high myopia was conducted using 14 654 individuals aged ≤14 years recruited from 11 diverse medical facilities. Methods This study comprises a national claims database analysis and a multicenter validation study. Data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan, which contains the nationwide health insurance claims data, were assessed. All individuals aged ≤14 years were reviewed, and children with existing and new onset of myopia or high myopia between January 2011 and December 2020 were identified. A validation study was conducted by reviewing electric medical records. Main Outcome Measures Prevalence of myopia as of October 1, 2020, and the annual number of incident cases during 2014 to 2020. Results According to the 2020 population census, there were 14 955 692 children aged ≤14 years. Among them, 5 498 764 patients had myopia on October 1, 2020, corresponding to a prevalence of 36.8%. The number of incident cases of myopia was highest at 8 years of age, increasing from 853.3 cases/person-year in 2015 to 910.7 cases/person-year in 2020. The prevalence of high myopia increased with age, peaking at 0.46% among children aged 10 to 14 years; the number of incident cases annually increased in 5- to 9-year-olds and 10- to 14-year-olds. In the year 2020, when the coronavirus disease 2019 pandemic occurred, a discontinuous increase in the number of incident cases of myopia was observed in children aged 8 to 11 years, not 12 to 14 years. The overall sensitivity and specificity of the claims-based definition for myopia were 88.5% and 79.2%, respectively, whereas the corresponding values for high myopia were 41.6% and 99.8%. Conclusions This first comprehensive nationwide study revealed the prevalence and annual incidence trends of myopia and high myopia. These findings complement the results of previous high-quality cohort studies, offering a more comprehensive understanding of myopia trends. Financial Disclosure(s) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
... This has concurrently increased screen time, reduced time spent outdoors and digital eye strain. 20 Many studies have postulated that excessive smartphone use may be the underlying factor in AACE. 8,10,11,21 In our study, 18 patients were identified as excessive smartphones or handheld gadgets users whereby the average of 6.55±2.37 hours per day based on the statements of patients or their parents. ...
Article
Introduction: Acute acquired concomitant esotropia (AACE) is an uncommon type of strabismus that occurs due to interruption of fusion. Limited data are available on AACE from Asian countries especially from the Southeast Asian region. We aim to describe the clinical profile and surgical outcomes of AACE patients treated in a tertiary hospital in Malaysia. Materials and methods: We conducted a retrospective study of 20 patients aged 3-26 years who were diagnosed with AACE and attended Hospital Universiti Sains Malaysia, Kelantan, Malaysia, between January 2020 and June 2022 with follow-up periods a minimum of 12 months. Demographic data, clinical features, neuroimaging, surgical intervention, and final ocular alignment outcomes were recorded. Results: The mean age of onset was 9.7±6.6 years. There were equal numbers of males and females in this study. Hypermetropia (45%) was the leading refractive error. Angle of deviation of 50 PD and more was documented in 50% of the patients at distance, and 70% of the patients at near fixation. Fifty per cent had an absence of stereoacuity at presentation. Neuroimaging was performed on 13 patients (65%), and two patients had intracranial pathology. All patients underwent bilateral medial rectus recession during primary surgery. Eighteen patients (90%) experienced excessive near work-related activities for >4 hours per day, and 19 patients (95%) achieved good ocular alignment, restoration of stereoacuity and resolved diplopia after the surgical intervention. Conclusion: The mean age of onset was 9.7±6.6 years. Almost half of our patients had uncorrected hypermetropia. Furthermore, 90% of patients had excessive near-work activities, and 95% achieved good post-surgery alignment.
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Approximately 2 billion people – one sixth of the world’s population suffer from one or more Neglected Tropical Diseases (NTDs).1. Some of these parasitic diseases such as soil-transmitted helminthiasis (STH), Trachoma and Yaws have long been recognized as diseases of poverty as the affected people are generally the poorest and most vulnerable segment of the population. Some diseases affect individuals throughout their lives, causing significant morbidity and physical disability and in some cases, gross disfigurement. Other possible manifestations of these diseases are acute infections, with transient, severe and even fatal outcomes. Patients may face social stigmatization and abuse, which add to the sufferings already caused by the disease itself
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Background information: Refractive errors and presbyopia remain a burden to the entire population. An estimated 76% of the 191 million blind people have preventable or treatable causes. Uncorrected Refractive Error (URE), the number one cause (51%) of moderate and severe vision impairment is easily preventable. Aim: The study aimed to evaluate the accessibility, affordability, and acceptability of refractive services in Kakamega Municipality. Methodology: A population-based descriptive cross-sectional study was undertaken in Kakamega municipality using a cluster sampling method and descriptive data analysis. Results: Out of 358 participants, 199 (55.6%) were male and 159 (44.4%) were female. The analysis shows affordability (18.3%) as the main reason for not using spectacles, followed by lack of quality care (3.4%), access to eye care (3.4%), awareness (2.5%), unpleasant past experiences (2.2%), importance not given to eye care issues (1.6%), lack of communication (0.9%), and disapproval from family members (0.9%). The study found that the affordable price range for spectacles varies between Kshs.5000 and less than Kshs.2000. More participants (38.0%) reported above Kshs.5000, while 29% indicated less Kshs.2000. The study found that affordability (p = 0.000), availability (p=0.004), and accessibility (p=0.005) of refractive services significantly influenced the uptake of these services. Conclusion: The study reveals that refractive services in Kakamega municipality are not easily accessible due to the lack of adequate services in government hospitals. Additionally, patients in the municipality struggle to afford spectacles due to the direct cost of spectacles and the lack of services in easily accessible public facilities. Keywords: Barriers Accessibility Affordability Availability Uptake Refractive services
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ASTRACT Purpose: This study was designed to determine the level of awareness and attitude toward refractive error correction in Gwalior population. Methods: A random sampling method was applied to choose subjects aged various optometry courses. A structured questionnaire with open-ended and closed ended questions was designed to gather the participants 'demographic data as well as their awareness and attitude toward refractive correction method (spectacles, contact lenses and refractive surgery). Results: overall, 26.2% of the participants had a clear idea of them 'ophthalmologist' and 'optometrist'. 71.4%, 58.8% and 71% of respondents had no information about contact lens side effects, respectively. 68.6% of participants were not aware of the possibility of refractive surgery for improving the sight. Awareness about refractive surgery's adverse effects was only 12%. Conclusion: Developing Gwalior with a huge population with refractive error putting a burden on overall health care. Awareness and attitude towards refractive correction methods was moderately low among the participants of this study. Although, ophthalmologists were the first source of consultation Awareness and Attitude towards Refractive Error Correction in Gwalior Population Section A-Research paper 4860 on sight impairments among respondents, one third percentage of subjects were not even aware of obvious differences between an ophthalmologist and an optometrist. These findings emphasize the necessity for proper public education on ophthalmic care and the available services.
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NPC is a vital factor in determination and diagnosis and treatment of various ocular problems. To evaluate near point of convergence in refractive errors a descriptive crosssectional study on 140 patients ages 18 to 35 irrespective of sex visiting eye department was carried out by measuring near point of convergence of the patients with refractive errors. 59(42.1%) were presented with headache and 55(39.3%) were presented with eye strain while 26(18.6%) were presented with the problem of blurring of vision. 89(63.0%) were having visual acuities in the range of 6/6 to 6/12 and 31(22.1%) were having visual acuities ranges between 6/18 to 6/60 while 20(14.2%) were having their visual acuities >6/60. Overall (106)75.7% patients were having NPC between 6-10 cm while (33)23.6% were having NPC between 11-15cm. 55(37.9%) patients were myopic, 42(30.0%)were hyperopic and 45(32.1%) patients were astigmatic. 38(71.1%) myopic had their NPC between 6-10cm and 15(28.3%) were between 11-15cm. 32(76.2%) hyperopic patients had their NPC between 6-10cm and 10(23.8%) had between 11-15cm. 36 (80.0%) astigmatic patients had their NPC in between 6-10cm and 8(17.8%) had their NPC in between 11-15cm while only 1(0.7%) reported their NPC between 16-20cm. Near point of convergence values in refractive error were found mostly in normal range. No significant difference of near point of convergence was found in low to medium refractive errors. Moreover, higher myopes had increased near point of convergence values than other refractive error.
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To determine the degree of compliance of spectacle wear and some of its determinants among school children of Dhakhiliya region of Oman. This was a cross-sectional descriptive study of a sample of 663 students who had been prescribed spectacles for constant wear. After one year, experienced field staff conducted a follow-up visit where 571 of these students were examined. Information on age, gender, type and severity of refractive error was collected from the school health records and refractionist's report and analyzed to associate them to the compliance of spectacle wear. The majority (71.6%) of students were using spectacles at the time of follow up. The compliance rate was 65.1% in boys and 78.3% in girls. Agewise, it was 66.7% in 6-7-year-olds, 66.7% in 12-13-year-olds and 79.1% in 16-17-year olds. The rate was 72.5% among students with myopia and 67.9% among those with hypermetropia. The compliance of spectacle wear was significantly higher among students with myopic refractive error of 2.5 D or more compared to those with less than 2.5 D. The difference in the compliance rates among students with hypermetropia of different grades was not significant. The study identifies the factors of high-risk of non compliance as (a) male gender, (b) younger age, and (c) low myopic refractory error. The eye health care program of Oman should focus on these high risk groups to further improve the compliance for visual aids.
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To find an optimal cluster size and number of clusters for a reasonable estimate of the prevalence of cataract blindness in people aged > or = 50 years in 19 rural districts of a state in India. Cluster sampling methodology was used in 19 rural districts of Karnataka State, India. In each district, 15 clusters were randomly selected and 90 people aged > or = 50 years were examined in each cluster. As a result the visual acuity and lens status of a total of 22,218 people were assessed. For each district, the design effect for cluster size ranging from 20 to 90 was calculated and the optimal cluster size and the required number of clusters to achieve an accuracy of 1% errors and 80% confidence was assessed. The age and gender adjusted prevalence of cataract blindness varied from 1.58% to 7.24%, which justifies district level surveys. The design effect is nearly 1.5 for clusters of sizes 30 and 40. With an average prevalence of 4.93% with 1% error and 80% confidence level, the optimal number of clusters is 37 and 28 for a cluster size of 30 and 40 respectively and the average sample size for a district around 1100. Rapid assessments for cataract blindness in those aged > or = 50 years can be conducted at district level in India with existing resources and at affordable costs. These provide reliable data, essential for effective monitoring and planning. Other parameters, for instance, surgical coverage can also be assessed. The availability of standardized software for data entry and analysis and strict adherence to survey procedures is essential.
Article
This study estimates the prevalence of common visual disorders (amblyopia, strabismus, refractive errors) in a group of inner-city school children. In addition, the study addresses the issue of access to care for vision-screening programs, specifically for children with recognized difficulties in obtaining routine medical care. School children from an inner-city elementary school were enrolled into a prospective vision-screening program combining the identification arm (screening) and diagnostic/treatment arm (ophthalmic examination). The screening consisted of Snellen E optotypes presented at a 10-foot test distance. Each child failing the vision screening was examined by an ophthalmologist at the school using standard protocol. This allowed the authors to examine all children identified through the vision-screening program. Six-hundred eighty children were screened during the 1993 to 1994 school year. Eleven percent (76) failed the vision screening and were examined, 68 of whom failed the ophthalmic examination. The estimated prevalence of visual morbidity was as follows: amblyopia, 3.9%; strabismus, 3.1%, and refractive errors, 8.2%. Amblyopia, strasbismus, and refractive errors were found in relatively high frequencies for this population sample of inner city children. These findings underscore the necessity of comprehensive vision-screening programs that integrate follow-up care. Children with limited access to specialized eye care must be provided with a mechanism for obtaining these services.
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The Refractive Error Study in Children was designed to assess the prevalence of refractive error and vision impairment in children of different ethnic origins and cultural settings. Population-based cross-sectional samples of children 5 to 15 years of age were obtained through cluster sampling. Presenting, uncorrected, and best-corrected visual acuity, along with refractive error under cycloplegia, were the main outcome measures. Amblyopia and other causes of uncorrectable vision impairment were determined. Study design and sample size calculations, survey enumeration and ophthalmic examination methods, quality assurance monitoring, and da ta analyses and statistical methods are described. The study design, sample size, and measurement methods ensure that the prevalence of age-specific and sex-specific refractive error can be estimated with reasonable accuracy in the target populations. With commonality of methods, a comparison of findings between studies in different ethnic origins and cultural settings is possible.
Article
Recent data suggest that a large number of people are blind in different parts of the world due to high refractive error because they are not using appropriate refractive correction. Refractive error as a cause of blindness has been recognized only recently with the increasing use of presenting visual acuity for defining blindness. In addition to blindness due to naturally occurring high refractive error, inadequate refractive correction of aphakia after cataract surgery is also a significant cause of blindness in developing countries. Blindness due to refractive error in any population suggests that eye care services in general in that population are inadequate since treatment of refractive error is perhaps the simplest and most effective form of eye care. Strategies such as vision screening programmes need to be implemented on a large scale to detect individuals suffering from refractive error blindness. Sufficient numbers of personnel to perform reasonable quality refraction need to be trained in developing countries. Also adequate infrastructure has to be developed in underserved areas of the world to facilitate the logistics of providing affordable reasonable-quality spectacles to individuals suffering from refractive error blindness. Long-term success in reducing refractive error blindness worldwide will require attention to these issues within the context of comprehensive approaches to reduce all causes of avoidable blindness.
Article
To determine the prevalence of blindness and vision impairment in a rural population of southern India. A population-based cross-sectional study. A total of 17200 subjects aged 6 years or older, including 5150 subjects aged 40 years or older from 50 clusters representative of three southern districts of Tamil Nadu in southern India. All participants had preliminary screenings consisting of vision using a LogMAR illiterate E chart and anterior segment hand light examinations at the village level. Subjects aged 40 years or older were offered comprehensive eye examinations at the base hospital, including visual acuity using LogMAR illiterate E charts and refraction, slit-lamp biomicroscopy, gonioscopy, applanation tonometry, dilated fundus examinations, and automated Humphrey central 24-2 full threshold perimetry; subjects younger than 40 years of age who had any signs or symptoms of ocular disease were also offered comparable examinations at the base hospital. Visual impairment was defined as best-corrected visual acuity <6/18, and blindness was defined using both Indian (<6/60) and World Health Organization (<3/60) definitions. Comprehensive examinations at the base hospital were performed on 5150 (96.5%) of 5337 persons 40 years of age or older. Among those 40 years of age and older, presenting visual acuity at the <3/60 level was present in 4.3% (95% confidence interval [CI]: 3.8, 4.9) and 11.4% (95% CI: 10.6, 12.3) at the <6/60 level. After best correction, the corresponding figures were 1.0% (95% CI: 0.79, 1.2) and 2.1% (95% CI: 1.7, 2.5). Over 70% of subjects improved their vision by at least one line, and nearly a third by three lines after refraction. Age-related cataract was the most common potentially reversible blinding disorder (72.0%) among eyes presenting with blindness. Blindness and vision impairment remain major public health problems in India that need to be addressed. Cataracts and refractive errors remain the major reversible causes for the burden of vision impairment in this rural population.
Article
Limitations in existing studies of the epidemiological aspects of refraction are attributed to both technical and statistical procedures. Early influences of ocular parameters on refraction are identified accordingly as prematurity and may or may not be involved. Attention is paid to familial and genetic influences, and infants and toddlers are examined as a group separate from schoolchildren and teenagers, who are likely to have experienced significant periods of near work. The effects of sex and geographical distribution are considered both for younger and older age ranges. Special attention is paid to anisometropia, which is shown-apparently for the first time-to increase appreciably among presbyopes. The connection between refractive errors and ocular pathologies is reviewed, and possible means of preventing early onset myopia are examined. Presbyopia is addressed with reference to its geographical distribution and hypothetical links to accommodation insufficiency.
Article
To evaluate the accuracy of noncycloplegic autorefraction in a representative sample of school-age children in China. Refractive error was measured with an autorefractor, both before and after cycloplegia induced with cyclopentolate, in a population-based sample of 4973 children between the ages of 7 and 18 years. Spherical equivalent refractive error and astigmatism as represented by Jackson crossed-cylinders (J0 and J45) were the main outcome measures. Noncycloplegic measurements of equivalent spheres were consistently more negative or less positive than those after cycloplegia, with mean +/- SD differences of -1.23 +/- 0.97 D. The differences were particularly large for hyperopic eyes (mean difference of -2.98 +/- 1.65 D for hyperopia of at least +2.00 D) while becoming progressively smaller for emmetropic eyes, and smaller yet for myopic eyes (mean difference of -0.41 +/- 0.46 D for myopia of -2.00 D or more). Increasing age was associated with increased, but clinically insignificant, differences. Little difference was found between noncycloplegic and cycloplegic measurements of astigmatism: mean J0 and J45 differences were -0.08 +/- 0.13 D and -0.01 +/- 0.09 D, respectively. Noncycloplegic autorefraction was found to be highly inaccurate in school-age children and, thus, not suitable for studies of refractive error or for prescription of glasses in this population.
Article
To determine the prevalence of refractive errors and to investigate factors associated with refractive error in adults 30 years of age and older in Bangladesh. Cross-sectional study. A nationally representative sample of 12 782 adults 30 years of age and older. The sample of subjects was selected based on multistage, cluster random sampling with probability-proportional-to-size procedures. The examination protocol consisted of an interview that included measures of literacy, education, occupation, and refractive correction. Visual acuity testing (logarithm of the minimum angle of resolution [logMAR]), automated refraction, and optic disc examination were performed for all subjects. Subjects with <6/12 (0.3 logMAR) acuity in either eye were graded additionally for cataract and underwent a dilated fundal examination. Subjects for whom no refractive error was recorded (312 subjects; 2.7%) or who had undergone cataract surgery (123 subjects; 1.1%) were excluded from the analysis. Refractive error and socioeconomic variables (literacy, education, occupation). Eleven thousand six hundred twenty-four subjects were examined (90.9% response rate; mean age+/-standard deviation, 44+/-12.6 years). Five thousand four hundred eighty-nine subjects (49.1%) were men and 5700 subjects (50.9%) were women. Mean spherical equivalent was -0.19 diopters (D; +/-1.50 D). Six thousand four hundred twelve subjects (57.3%) were emmetropic, 2469 (22.1%) were myopic (<-0.5 D), and 2308 (20.6%) were hypermetropic (>+0.5 D). Two hundred six subjects (1.8%) were highly myopic (<-5 D). Myopia was more common in men (26.3%) than in women (21.0%), whereas hyperopia was more common in women (27.4%) than in men (15.8%). Overall, myopia increased with age (17.5% of those aged 30-39 years were myopic, compared with 65.5% of those age 70 years and older). A subanalysis of subjects without cataract showed increasing hyperopia with age and an association between myopia and higher education. Myopia was more common among the employed than in unemployed subjects. Astigmatism (>0.5 D), present in 3625 subjects (32.4%), was more common among women, illiterate subjects, and unschooled subjects. Against-the-rule astigmatism was more common (58.7%) than oblique astigmatism (29.3%), which was more common than with-the-rule (WTR) astigmatism (12.1%). Against-the-rule astigmatism and oblique astigmatism increased with age, unlike WTR astigmatism. Of 830 (7.5%) subjects, women were more commonly anisometropic (>1.0 D). Anisometropia increased with age. Refractive error data are described for a country and region that previously have lacked population-based data. Prevalence and factors associated with refractive error are presented, with a detailed comparison with other population-based surveys regionally and internationally.