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Comparison of Ocular Component Growth Curves among Refractive Error Groups in Children

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Purpose: To compare ocular component growth curves among four refractive error groups in children. methods Cycloplegic refractive error was categorized into four groups: persistent emmetropia between -0.25 and +1.00 D (exclusive) in both the vertical and horizontal meridians on all study visits (n = 194); myopia of at least -0.75 D in both meridians on at least one visit (n = 247); persistent hyperopia of at least +1.00 D in both meridians on all visits (n = 43); and emmetropizing hyperopia of at least +1.00 D in both meridians on at least the first but not at all visits (n = 253). Subjects were seen for three visits or more between the ages of 6 and 14 years. Growth curves were modeled for the persistent emmetropes to describe the relation between age and the ocular components and were applied to the other three refractive error groups to determine significant differences. results At baseline, eyes of myopes and persistent emmetropes differed in vitreous chamber depth, anterior chamber depth, axial length, and corneal power and produced growth curves that showed differences in the same ocular components. Persistent hyperopes were significantly different from persistent emmetropes in most components at baseline, whereas growth curve shapes were not significantly different, with the exception of anterior chamber depth (slower growth in persistent hyperopes compared with emmetropes) and axial length (lesser annual growth per year in persistent hyperopes compared with emmetropes). The growth curve shape for corneal power was different between the emmetropizing hyperopes and persistent emmetropes (increasing corneal power compared with decreasing power in emmetropes). conclusions Comparisons of growth curves between persistent emmetropes and three other refractive error groups showed that there are many similarities in the growth patterns for both the emmetropizing and persistent hyperopes, whereas the differences in growth lie mainly between the emmetropes and myopes.
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Comparison of Ocular Component Growth Curves
among Refractive Error Groups in Children
Lisa A. Jones,
1
G. Lynn Mitchell,
1
Donald O. Mutti,
1
John R. Hayes,
1
Melvin L. Moeschberger,
2
and Karla Zadnik
1
PURPOSE. To compare ocular component growth curves among
four refractive error groups in children.
M
ETHODS Cycloplegic refractive error was categorized into four
groups: persistent emmetropia between 0.25 and 1.00 D
(exclusive) in both the vertical and horizontal meridians on all
study visits (n 194); myopia of at least 0.75 D in both
meridians on at least one visit (n 247); persistent hyperopia
of at least 1.00 D in both meridians on all visits (n 43); and
emmetropizing hyperopia of at least 1.00 D in both meridi-
ans on at least the first but not at all visits (n 253). Subjects
were seen for three visits or more between the ages of 6 and 14
years. Growth curves were modeled for the persistent em-
metropes to describe the relation between age and the ocular
components and were applied to the other three refractive
error groups to determine significant differences.
R
ESULTS At baseline, eyes of myopes and persistent em-
metropes differed in vitreous chamber depth, anterior cham-
ber depth, axial length, and corneal power and produced
growth curves that showed differences in the same ocular
components. Persistent hyperopes were significantly different
from persistent emmetropes in most components at baseline,
whereas growth curve shapes were not significantly different,
with the exception of anterior chamber depth (slower growth
in persistent hyperopes compared with emmetropes) and axial
length (lesser annual growth per year in persistent hyperopes
compared with emmetropes). The growth curve shape for
corneal power was different between the emmetropizing hy-
peropes and persistent emmetropes (increasing corneal power
compared with decreasing power in emmetropes).
C
ONCLUSIONS Comparisons of growth curves between persis-
tent emmetropes and three other refractive error groups
showed that there are many similarities in the growth patterns
for both the emmetropizing and persistent hyperopes, whereas
the differences in growth lie mainly between the emmetropes
and myopes. (Invest Ophthalmol Vis Sci. 2005;46:2317–2327)
DOI:10.1167/iovs.04-0945
M
yopia is a common condition in the world today that
generates significant annual healthcare expenditures.
1
Sperduto et al.
2
estimated the prevalence of myopia in 12- to
17-year-olds in the United States in 1971 to 1972 to be 24%.
Although many studies have been performed in the area of
childhood myopia, there is limited information about the
course and progression of myopia and accompanying changes
in the ocular components over extended periods. Comparing
the course of component development in emmetropes and
children with refractive error provides a useful description of
the natural history of ocular growth.
Most of the information about the natural history of myopia
is obtained from the control groups of bifocal or drug treat-
ment studies.
3–11
Although these studies have investigated the
change in myopia with age, very few look at the accompanying
changes in the ocular components.
4,7
Later studies have con-
centrated primarily on axial length.
48,11
Pa¨rssinen and Lyyra
7
presented the results from a randomized
clinical trial evaluating the impact of bifocals with a 1.75 D add,
compared with full correction with spectacles for distance vision
only versus full correction with spectacles for continuous wear.
Regression models of myopia progression over a 3-year period by
gender were presented. In the spectacle-wearing group, myopic
progression was faster in girls than in boys. The 60 slowest
progressors were compared with the 60 fastest progressors on
corneal power (both initial and final), final anterior chamber
depth, final lens thickness, and final axial length. There were
significantly more girls among the 60 fastest progressors. The only
statistically significant difference between the two groups was in
axial length, with the fastest progressors having an average axial
length of 0.88 0.76 mm longer than the slowest progressors.
7
Gwiazda et al.
6
presented results of the Correction of Myo-
pia Evaluation Trial evaluating single-vision versus progressive
addition lenses in children on the progression of myopia. Over
the 3 years of the study, the spherical equivalent progressed by
approximately 1.4 D in the single-vision lens group. An in-
crease in axial length of 0.75 mm over the same period showed
a significant correlation with change in refractive error (r
0.89).
Fulk et al.
5
conducted a single-vision versus bifocal lens
myopia progression trial, enrolling only myopic children with
near-point esophoria. Vitreous chamber depth increased ap-
proximately 0.48 mm after 30 months in the single-vision lens
group, whereas axial length changed by 0.49 mm.
Hyperopia has been studied far less often in either cross-
sectional or longitudinal studies.
12,13
Most data describe the
frequency of hyperopia in a given sample.
14
No studies discuss
the ocular components, their growth, or their relationship to
hyperopia in childhood.
One longitudinal study from an optometric practice exam-
ined refractive error for 6 years in 60 patients, beginning at age
7 years.
15
Whereas the number of myopes increased over the
years, the number of hyperopes remained unchanged (mean
change in the hyperopes: 0.04 0.74 D). Ma¨ntyja¨rvi
16
found
little change in 46 hyperopes studied (mean change: 0.12
0.14 D/y). Hirsch
17
examined children at age 5 or 6 years and
then again at age 13 or 14 years. He found that all children who
From the
1
College of Optometry and
2
School of Public Health,
Division of Epidemiology and Biometrics, The Ohio State University,
Columbus, Ohio.
Supported by National Eye Institute Grants EY08893 and
EY014792, the Ohio Lions Eye Research Foundation, and the E. F.
Wildermuth Foundation.
Submitted for publication August 4, 2004; revised December 17,
2004, and February 11 and March 10, 2005; accepted March 29, 2005.
Disclosure: L.A. Jones, None; G.L. Mitchell, None; D.O. Mutti,
None; J.R. Hayes, None; M.L. Moeschberger, None; K. Zadnik,
None
The publication costs of this article were defrayed in part by page
charge payment. This article must therefore be marked advertise-
ment in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Corresponding author: Lisa A. Jones, College of Optometry, The
Ohio State University, 338 W. 10th Ave., Columbus, OH 43210;
ljones@optometry.osu.edu.
Investigative Ophthalmology & Visual Science, July 2005, Vol. 46, No. 7
Copyright © Association for Research in Vision and Ophthalmology
2317
were 1.50 D or more hyperopic at age 5 or 6 years (n 33)
and 88% of children who were between 1.25 and 1.49 D at
age5or6(n 8) years remained hyperopic at age 13 or 14
years. These studies indicate that children with hyperopia are
more likely to remain hyperopic. Ocular components have not
been examined in hyperopes over time.
The studies evaluating refractive error over time have ad-
dressed some of the components that change as refractive
error changes, with particular attention to the increase in axial
length and vitreous chamber depth and the progression of
myopia. The purpose of this study was to generate and com-
pare the growth curves for the ocular components in school-
aged emmetropes, myopes, and hyperopes that are em-
metropizing and those with persistent hyperopia.
Understanding the growth of the various components of the
eye in detail may help to explain the different behavior of
refractive errors as a function of age: how myopes progress,
how emmetropes remain stable, why some hyperopes em-
metropize, and why others remain hyperopic. The results of
this analysis expand on the current literature by including
measures of crystalline lens shape and power in addition to
corneal power and axial dimensions.
METHODS
Subjects for these analyses were participants in the Orinda Longitudi-
nal Study of Myopia (OLSM).
18
Children were recruited from the
Orinda Union School District in California to participate in a longitu-
dinal study evaluating risk factors for myopia and the development of
the associated ocular components. Individuals and their parents pro-
vided informed consent according to the tenets of the Declaration of
Helsinki. Informed consent procedures and the study protocol were
approved by the University of California, Berkeley’s Committee for the
Protection of Human Subjects. Data presented herein were obtained
from 1989 through 2001. To be included in these analyses, the subject
had to have at least three visits between the ages of 6 to 14 years to
allow for the generation of ocular component growth curves.
The ocular components of the right eye only were measured.
Corneal anesthesia was used twice: once to minimize the discomfort
from the cycloplegic drops and later to allow ultrasonography. One
drop of 0.5% proparacaine was followed by two drops of 1% tropic-
amide, 5 minutes apart, for cycloplegia. Measurements were made 25
minutes after the initial instillation. Cycloplegic refractive error was
measured by autorefraction with an open-view infrared autorefractor
(model R-1; Canon USA, Lake Success, NY; no longer manufactured).
The left eye was occluded with an eye patch during autorefraction.
The autorefractor was set up so that the free viewing space was
illuminated from the examiner’s side of the instrument. The child
fixated 6/9 (20/30) size letters on a near-point test card viewed through
a 4.00-D Badal lens. At least 10 autorefractor readings were taken
with the eye in primary gaze. Spurious readings, or acceptable ones
exceeding 10, were eliminated according to the following scheme and
rationale.
Because lapses in fixation result in off-axis refraction, such lapses
are marked by anomalous cylinder readings. We eliminated these
readings, whether there were more than 10 or not, by determining the
mode of the cylinder (magnitude) and eliminating any reading with
cylinder differing by more than 0.75 D from the mode. Blinking or eye
movement can also cause anomalous sphere readings. Sphere readings
that differed by more than 1.00 D from the mode of all sphere values
were also removed. After anomalous readings were eliminated, extra
readings were eliminated alternately from the beginning and the end of
the measurement series.
The 10 spherocylindrical refractions were averaged by using the
matrix method described by Harris.
19
This method treats each sphero
-
cylinder as a vector that can then be manipulated by standard linear
algebra matrices to provide means and standard deviations of sphere,
cylinder, and axis. Mean spherocylinders were also converted to hor-
izontal and vertical meridian refractions.
Corneal power in the vertical meridian was measured with pho-
tokeratoscopy (KERA 9-ring CorneaScope [Kera Corp., Santa Clara, CA]
from 1989 to 1990 and 1990 to 1991). One photograph was taken on
each occasion. The photograph was analyzed on a proprietary, video-
based, computer-assisted analysis system (KERA-Scan; Kera Corp.).
From 1991 to 1992 on, the topographic modeling system was used.
The third inferior ring (corresponding to a location roughly 1.5 mm
from the center) in the vertical meridian was selected for this analysis,
primarily because it was a reading free of contamination from lid
position and therefore obtainable in every child.
Crystalline lens radii of curvature were obtained with video pha-
kometry,
20
which is an updated version of still-flash photography
comparison ophthalmophakometry
21,22
that measures Purkinje images
I, III, and IV formed close to the optic axis by a collimated light source,
with digitized, computer analysis of multiple images. The child was
seated behind the instrument with an eye patch on his or her left eye
and instructed to fixate a red-light– emitting diode on a movable arm
while the reflected Purkinje images I, III, and IV were recorded. Lens
power was calculated with the Gullstrand-Emsley schematic eye indi-
ces of refraction for the aqueous and the vitreous (4/3) and the
crystalline lens (1.416).
23
An equivalent index and calculated lens
power were also found with an iterative procedure that produces
agreement between measured refractive error and that calculates by
using ocular component data from ultrasound and Purkinje image data
from phakometry.
Anterior chamber depth, lens thickness, and vitreous chamber
depth (average of five readings for each) were measured through the
dilated pupil with the an A-scan ultrasound unit (model 820; Allergan-
Humphrey, Carl Zeiss Meditec, Dublin, CA), with a handheld probe on
a semiautomatic measurement mode with a drop of 0.5% proparacaine
instilled in the right eye. Readings in which the retinal peak was
marked at other than its anterior-most point were discarded, either
online or after all five readings had been obtained.
The data entry and verification for 1989 through 1995 were con-
ducted by the Data Management Unit of the Survey Research Center at
the University of California at Berkeley. Data from 1996 through 2001
were entered and verified at the Optometry Coordinating Center at
The Ohio State University. All data were double-entered into databases
specifically designed for the study.
Children included in these analyses met the following criteria: Each
child attended at least three study visits between the ages of 6 and 14
years. A child was defined as a myope if both the horizontal and
vertical meridians of the right eye under cycloplegia were 0.75 D or
more myopic at one or more visits. A child was defined as a persistent
hyperope if both the horizontal and vertical meridians were at least
1.00 D or more hyperopic at all visits. Emmetropes were defined as
being between 0.25 and 1.00 D (exclusive) in both meridians at all
study visits. Children who began as hyperopes (horizontal and vertical
meridians at least 1.00 D) at the first visit but did not demonstrate at
least 1.00 D of hyperopia at all study visits were considered to be
emmetropizing hyperopes. Children not fitting one of these four cri-
teria were not included in the analysis.
Statistical Methods
Descriptive statistics (means and frequencies) were calculated for age
and for each of the ocular components at the child’s first examination.
Growth curves were generated relating age and each ocular compo-
nent: lens equivalent index, calculated equivalent lens power, Gull-
strand lens power, lens thickness, anterior chamber depth, axial
length, vitreous chamber depth, and corneal power. The curves were
generated in mixed models run on computer (SAS ver. 9.1; SAS Insti-
tute Inc., Cary, NC). This method allows for multiple points to be used
to generate each subject’s curve and then creates an “average” model
that incorporates the individual curves into an average curve, accord-
ing to the maximum likelihood. The model also allows for specification
2318 Jones et al. IOVS, July 2005, Vol. 46, No. 7
of the structure of the variance–covariance matrix to describe the
relation between the correlated longitudinal observations. Variance–
covariance matrices investigated were the unstructured and com-
pound symmetry matrices. Model parameters were determined by
maximum-likelihood methods.
24
Mixed modeling is particularly pow
-
erful because it allows for the presence of a variable number of data
points—that is, an otherwise eligible subject is not excluded for miss-
ing observations due to the potential for differing lengths of follow-up.
Missing data are handled within the iterative maximum-likelihood pro-
cedure, in which all available subject data were used, even in the
calculations. The maximum-likelihood procedure chooses the param-
eters that will maximize the likelihood of observing the given set of
sample data.
Growth curves were initially modeled for each component, includ-
ing only the data from emmetropic children.
25
In short, each outcome
was modeled as a linear function of several mathematical forms of age,
which included natural log, quadratic, age,
2
inverse(age), and in
-
verse[natural log(age)] and assuming points of inflection. In these latter
models, cut points based on age were included in the model to allow
the shape of the curve to vary before and after a given cut point. The
cut points were selected within 0.5-year increments from age 9 to 12
years, so that there was a sufficient number of data points both before
and after the cut point and so that the cut point was within the age at
which myopia might be expected to develop. Akaike’s information
criterion (AIC) values from each model were used to determine which
function of age and which variance– covariance structure best de-
scribed the ocular component changes.
26
The best model was consid
-
ered to be the one with the lowest AIC value, and model effectiveness
was assessed by the model
2
. The probability was used to assess the
significance of model fit. Once the best-fitting model for emmetropes
was determined, this functional form was applied to the data for the
myopes and for both groups of hyperopes, to derive curves for those
groups. Parameter estimates from each curve were then compared
with corresponding parameters from the emmetropic model. Allowing
each refractive group to have growth curves with their best-fitting
functional form would prevent comparisons between curves because
of the lack of a comparison method across models. By fixing the
functional form as the optimal model for the emmetropes, we main-
tained the ability to compare the estimated curves among refractive
error groups.
RESULTS
Two hundred forty-seven children were classified as myopic.
Of these, 76.1% were nonmyopic at baseline. There were 43
FIGURE 1. Description of the sub-
jects who were eligible and ineligible
for the analyses.
IOVS, July 2005, Vol. 46, No. 7 Refractive Error Growth Curves 2319
persistent hyperopes, 253 emmetropizing hyperopes, and 194
persistent emmetropes. Eight children who were emmetropic
at baseline became myopes during the course of the study.
Figure 1 presents the children available for analysis and the
reasons for exclusion. Males were 44.1%, 46.5%, 56.7%, and
46.5% of the myopes, persistent hyperopes, persistent em-
metropes, and emmetropizing hyperopes, respectively. Racial–
ethnic group was reported by a parent. Overall, whites ac-
counted for the majority of the sample (85.0%), with 0.4%
African American, 11.1% Asian, 2.0% Hispanic, 0.3% American
Indian and 1.1% “other” racial– ethnic group. The percentage
of children classified into each refractive error group by race or
ethnic group is shown in Table 1.
The number of visits per subject differed significantly
among refractive error groups (Table 2,
2
139.96, P
0.0001), with the persistent emmetropes more likely to have
attended fewer visits than the myopes, the persistent hyper-
opes, or the hyperopes. Thirty-seven percent of the myopes,
42% of the emmetropizing hyperopes, and 33% of the persis-
tent hyperopes had a full eight visits. Only 15% of the persis-
tent emmetropes attended all eight visits. Mean years of fol-
low-up (SD) were 3.7 1.9 for the persistent emmetropes,
5.0 2.0 for the myopes, 5.4 1.7 for the emmetropizing
hyperopes, and 4.6 2.1 years for the persistent hyperopes
(analysis of variance, P 0.0001). Post hoc comparisons show
that the persistent emmetropes had a significantly shorter fol-
low-up period than did the myopes (P 0.0023), the em-
metropizing hyperopes (P 0.0001), and the persistent hy-
peropes (P 0.0001). There was also a marginally significant
difference between the follow-up period of emmetropizing
hyperopes and persistent hyperopes (P 0.046). The visits for
all subjects were overwhelmingly consecutive—that in, a sub-
ject who had three visits had three consecutive visits over a
2-year period, not visits spaced out over many years.
Baseline mean age and ocular component data for each of
the refractive groups are presented in Table 3. Because of the
differences in age between persistent emmetropes and the
other refractive error groups at baseline, comparisons of all
components were adjusted for age. Persistent emmetropes
changed, on average, 0.19 0.24 D from their first to their
last visit. We saw very few emmetropic subjects with shifts
within the category. For example, of the subjects who started
at the higher end of emmetropia ( 0.75 D both meridians),
only 5% fell below0Donthelast visit. This helps demonstrate
the stability of refractive error in the emmetropic group. The
myopes were evaluated to see whether there was evidence of
a group of stable myopes to compare to myopes who could be
identified as progressing myopes. Of the myopes, only 16
(6.5%) progressed 0.25 D or less over their visits. As a yearly
average, 86% of the subjects showed an average yearly change
of more than 0.25 D. Based on these data, there does not seem
to be strong evidence of a group of stable myopes among our
subjects.
At baseline, persistent emmetropes and myopes differed in
axial length, vitreous chamber depth, and corneal power after
adjustment for age. Persistent emmetropes differed from the
emmetropizing hyperopes in anterior chamber depth and axial
length and from the persistent hyperopes in lens refractive
index, calculated lens power, anterior chamber depth, axial
length, and vitreous chamber depth. Persistent emmetropes
had a significantly longer axial length, longer vitreous cham-
ber, and deeper anterior chamber than did the persistent hy-
peropes. In contrast, the persistent emmetropes had a signifi-
cantly shorter axial length and shallower vitreous chamber
depth than did the myopes. Figure 2 presents the spherical
equivalent refractive error data across age for each of the four
refractive error groups. By definition, the persistent hyperopes
remained hyperopic across age, whereas the emmetropizing
hyperopes approached the emmetropic group. The spherical
equivalent of the myopic group continued to become more
myopic until age 14 years.
The best models describing the relation between a given
ocular component and age derived from the persistent em-
metropes’ data using mixed models with an unstructured vari-
ance–covariance matrix are given in Table 4. These models
were applied to the data of the other three refractive error
groups. The probabilities indicate whether the shape of the
model for each of the other three groups (that is, comparisons
of the model parameters) differed significantly from that of the
persistent emmetropes. Growth curves did not differ when the
myopic group was separated into incident and prevalent
myopes (data not shown).
There was a decreasing rate of change in all refractive error
groups for crystalline lens index (Fig. 3), Gullstrand lens power
TABLE 1. Racial/Ethnic Status of Subjects as Classified by Parents
Racial/Ethnic
Group
Myopes
n (%)
Emmetropes
n (%)
Emmetropizing
Hyperopes
n (%)
Persistent
Hyperopes
n (%)
American Indian 1 (50.0) 0 1 (50.0) 0
Asian 59 (72.0) 16 (21.1) 6 (2.4) 1 (1.2)
African American 1 (33.3) 1 (33.3) 1 (33.3) 0
Hispanic 4 (26.7) 7 (46.7) 2 (13.3) 2 (13.3)
White 178 (28.4) 170 (27.1) 240 (38.3) 39 (6.2)
Other 4 (50.0) 0 3 (37.5) 1 (12.5)
TABLE 2. Number of Visits Attended, by Refractive Error Group
Number of
Visits
Myopes
n (%)
Emmetropes
n (%)
Emmetropizing
Hyperopes
n (%)
Persistent
Hyperopes
n (%)
3 59 (23.9) 96 (49.5) 21 (8.3) 12 (27.9)
4 11 (4.5) 14 (7.2) 28 (11.1) 5 (11.6)
5 15 (6.1) 7 (3.6) 29 (11.4) 3 (7.0)
6 45 (18.2) 45 (23.2) 42 (16.6) 8 (18.6)
7 25 (10.1) 3 (1.5) 26 (10.3) 1 (2.3)
At least 8 92 (37.2) 29 (15.0) 107 (42.3) 14 (32.6)
2320 Jones et al. IOVS, July 2005, Vol. 46, No. 7
(Fig. 4), and calculated lens power (Fig. 5), with no statistically
significant differences in shape between persistent em-
metropes and the other refractive error groups for any of the
models. Lens thickness (Fig. 6) showed a decrease in thickness
until approximately 9.5 years of age, with an increase in thick-
ness at older ages in all four refractive error groups. There were
no differences in model shape for this component as a function
of refractive error group.
Persistent emmetropes differed from persistent hyper-
opes in the shape of the model for anterior chamber depth
(Fig. 7). The persistent emmetropes displayed a faster deep-
ening of the anterior chamber at younger ages than did the
persistent hyperopes. A difference in the shape of the ante-
rior chamber depth model was also recorded between the
myopes and the persistent emmetropes but not between the
persistent emmetropes and the emmetropizing hyperopes.
The myopes’ anterior chamber depth growth curve had a
steeper slope than the growth curve for the persistent em-
metropes. The steeper slope indicates that the myopes’
anterior chamber deepening did not slow down with age as
much as in the persistent emmetropes. However, the differ-
ence was not substantial, as shown by the small differences
between parameter estimates. The statistical significance
associated with these small differences may be more a func-
tion of large sample size.
The persistent emmetropes’ axial elongation (Fig. 8) was
significantly slower at older ages in persistent emmetropes
than in persistent hyperopes. Myopes also differed significantly
in model shape of axial elongation, with the slope of the
myopes’ growth curve increasing at a higher rate than the
persistent emmetropes after age 10 years. The model shape for
axial length did not significantly differ between persistent
emmetropes and emmetropizing hyperopes.
For vitreous chamber depth (Fig. 9), myopes and persistent
emmetropes differed significantly in model shape. The slope of
the vitreous chamber depth growth curve in the myopes in-
TABLE 3. Demographics at Baseline by Refractive Error Group
Variable Myopes Emmetropes
Emmetropizing
Hyperopes
Persistent
Hyperopes
Spherical equivalent (D) 0.49 1.38 0.54 0.22 1.36 0.48 2.45 0.92
Age (y) 7.98 2.1* 9.40 2.3 7.06 1.3† 7.94 2.1‡
Lens refractive index 1.430 0.01 1.429 0.01 1.432 0.01 1.434 0.01‡
Gullstrand lens power (D) 20.79 1.5 20.62 1.4 21.18 1.3 21.26 1.8
Calculated lens power (D) 23.94 2.2 23.63 2.0 24.98 2.0 25.58 2.5‡
Lens thickness (mm) 3.50 0.2 3.47 0.1 3.54 0.2 3.55 0.2
Anterior chamber depth (mm) 3.68 0.2 3.69 0.2 3.53 0.2† 3.44 0.3‡
Axial length (mm) 23.05 0.9* 22.93 0.7 22.30 0.6† 21.91 0.9‡
Vitreous chamber depth (mm) 15.87 0.9* 15.77 0.7 15.24 0.6 14.93 0.8‡
Corneal power (D) 44.30 1.4* 43.61 1.5 43.79 1.3 43.54 1.5
Data are expressed as the mean SD.
* Myopes significantly different from emmetropes after controlling for age in post hoc testing,
0.05.
Persistent hyperopes significantly different from emmetropes after controlling for age in post hoc
testing,
0.05.
Hyperopes significantly different from emmetropes after controlling for age in post hoc testing,
0.05.
FIGURE 2. Spherical equivalent for
each of the four refractive groups
from age 6 to 17 years.
IOVS, July 2005, Vol. 46, No. 7 Refractive Error Growth Curves 2321
creased at a higher rate than in the persistent emmetropes after
age 10 years. There were no differences in model shape in the
slope of vitreous chamber depth growth curves between the
persistent emmetropes and the persistent or emmetropizing
hyperopes.
Myopes and persistent emmetropes differed significantly in
model shape of corneal power (Fig. 10). Myopes had a rela-
tively constant slope with age, whereas persistent emmetropes
had a slope that became increasingly negative with increasing
age. Emmetropizing hyperopes also differed from the persis-
tent emmetropes in model shape of corneal power with a
slightly increasing slope with age. Persistent emmetropes and
persistent hyperopes were not significantly different from each
other.
DISCUSSION
Comparison of the results of this study with previous studies is
limited in scope because of the difficulty of comparing growth
curves to mean change. Both Gwiazda et al.
6
(COMET Study)
and Fulk et al.
5
show increases in vitreous chamber depth and
axial length in myopes, similar to our myopia curves. The
COMET Study also shows similar results in increases in anterior
chamber depth. Likewise, there is no change in the corneal
radii component from COMET. Over the course of 3 years,
there was 0.03-mm change in corneal radii.
6
Our myopia
curves show little change in corneal power as well. The one
component that seems to be on a different path is lens thick-
ness. The COMET Study shows a mean change in lens thick-
TABLE 4. Best Model to Predict Changes with Age in Emmetropes for Each Ocular Variable
Ocular Component Models P
Crystalline lens index E: 1.427 0.162 age
2
PH: 1.429 0.222 age
2
0.4645
M: 1.428 0.079 age
2
0.2563
EH: 1.429 0.121 age
2
0.6064
Gullstrand lens power E: Age 9 years 27.001 2.983 ln(age)
Age 9 years 25.080 2.057 ln(age)
PH: Age 9 years 26.399 2.522 ln(age)
Age 9 years 24.408 1.654 ln(age) 0.6376
M: Age 9 years 28.775 3.948 ln(age)
Age 9 years 24.311 1.945 ln(age) 0.0608
EH: Age 9 years 25.834 2.399 ln(age)
Age 9 years 24.633 1.888 ln(age) 0.3166
Calculated lens power E: 21.850 133.590 age
2
PH: 22.501 158.168 age
2
0.2369
M: 21.244 149.618 age
2
0.1972
EH: 22.251 129.020 age
2
0.7366
Lens thickness E: Age 9.5 years 3.799 0.041 age
Age 9.5 years 3.352 0.006 age
PH: Age 9.5 years 3.746 0.026 age
Age 9.5 years 3.428 0.007 age 0.0954
M: Age 9.5 years 3.841 0.046 age
Age 9.5 years 3.389 0.002 age 0.1827
EH: Age 9.5 years 3.778 0.036 age
Age 9.5 years 3.363 0.007 age 0.5221
Anterior chamber depth E: 1.817 0.265 ln(age)
2
1.441 ln(age)
PH: 2.773 0.062 ln(age)
2
0.447 ln(age)
0.0048
M: 1.425 0.311 ln(age)
2
1.749 ln(age)
0.0001
EH: 1.381 0.349 ln(age)
2
1.787 ln(age)
0.1054
Axial length E: Age 10.5 years 20.189 1.258 ln(age)
Age 10.5 years 21.353 0.759 ln(age)
PH: Age 10.5 years 19.926 0.970 ln(age)
Age 10.5 years 19.825 1.010 ln(age) 0.0273
M: Age 10.5 years 18.144 2.391 ln(age)
Age 10.5 years 17.808 2.560 ln(age) 0.0001
EH: Age 10.5 years 19.660 1.366 ln(age)
Age 10.5 years 21.180 0.715 ln(age) 0.2231
Vitreous chamber depth E: Age 10 years 13.154 1.211 ln(age)
Age 10 years 14.754 0.513 ln(age)
PH: Age 10 years 12.860 1.014 ln(age)
Age 10 years 13.437 0.762 ln(age) 0.0743
M: Age 10 years 11.297 2.228 ln(age)
Age 10 years 10.907 2.416 ln(age) 0.0001
EH: Age 10 years 12.708 1.308 ln(age)
Age 10 years 14.339 0.606 ln(age) 0.3867
Corneal power E: 42.131 0.566 ln(age)
2
2.033 ln(age)
PH: 45.061 0.161 ln(age)
2
1.033 ln(age)
0.4073
M: 44.253 0.009 ln (age)
2
0.008 ln(age)
0.0009
EH: 44.525 0.163 ln(age)
2
0.704 ln(age)
0.0001
Comparison models for myopes, persistent hyperopes, and emmetropizing hyperopes based on the
best model. The probability is for the comparison between the model for emmetropes and the corre-
sponding refractive error model. E, emmetropes; PH, persistent hyperopes; M, myopes; EH, emmetropiz-
ing hyperopes.
2322 Jones et al. IOVS, July 2005, Vol. 46, No. 7
ness over 3 years in the single vision lens group of 0.01 mm.
In our study, over a similar age range of 6 to 11 years, there
appeared to be a decrease in lens thickness of approximately
0.14 mm before a leveling off. A potential reason for this is that
our myopic subjects were a combination of pre- and post-onset
myopes. The COMET subjects were always myopic. Lens thick-
ness should be studied in more detail before and after the onset
of myopia.
Comparisons between the persistent emmetropes and the
persistent hyperopes and between the persistent emmetropes
and the emmetropizing hyperopes show that the growth curve
shapes were similar in the groups, overall, with the exception
of anterior chamber depth and axial length. The differences
between the persistent hyperopes and the persistent em-
metropes were based on the position from which the groups
started at baseline. The persistent hyperopes started at a posi-
tion significantly different from the persistent emmetropes,
and their eyes were unable to grow enough to compensate for
the smaller size. Therefore, they were unable to emmetropize.
Persistent hyperopes had a higher amount of initial hyperopia
than did emmetropizing hyperopes.
It is noteworthy to see that the persistent hyperope’s eye
grows at all. It would be plausible to think that, because these
eyes remain hyperopic, any growth would in fact be absent.
Persistent hyperopia does not appear to be an error in growth
in childhood, and so the source is more likely to be at some-
time earlier in development. Treatments for hyperopia that
seek to speed growth may be limited in effectiveness, as the
FIGURE 3. Growth curve for crystal-
line lens index, using the best model
derived from emmetropic data and
applying it to the other three refrac-
tive groups.
FIGURE 4. Growth curve for Gull-
strand lens power, using the best
model derived from emmetropic data
and applying it to the other three
refractive groups.
IOVS, July 2005, Vol. 46, No. 7 Refractive Error Growth Curves 2323
problem may be more related to the way the eye develops in
size in infancy.
Conversely, persistent emmetropes and myopes were sim-
ilar on almost all variables at baseline, with the exception of
greater corneal power for myopes. Their differences appeared
for several components in the shape of the growth curves.
Components that varied are those related to the size of the eye:
vitreous chamber depth, anterior chamber depth, axial length,
and corneal power. The two most striking differences between
the myopes and persistent emmetropes were in axial length
and vitreous chamber depth. In myopes, both of these com-
ponents had a rate of growth that exceeded that of the persis-
tent emmetropes, with little or no decrease in slope, represent-
ing a lack of slowing of the growth as seen in persistent
emmetropes as the children reached older ages. Growth in the
myopes appeared to continue unchecked. There was little
change in the corneal power growth curve of the myopes,
whereas the persistent emmetropes experienced a decrease in
corneal power over the age range on the order of approxi-
mately 0.50 D—an interesting finding. Even in emmetropia,
change is going on. The components are not stable. A 0.5 mm
growth in axial length, on average, would lead to approxi-
mately 1.50 D of myopia without counterbalancing by a
change in lens power of a similar amount. These curves help to
establish what normal eyes do and show that normal eyes do
indeed grow.
The growth curves for myopes contained both prevalent
and incident myopes. We analyzed the myopic group based on
incident and prevalent myopia (data not presented). The dif-
ferences between these two groups were a function of that
FIGURE 5. Growth curve for calcu-
lated lens power, using the best
model derived from emmetropic data
and applying it to the other three
refractive groups.
FIGURE 6. Growth curve for lens
thickness, using the best model de-
rived from emmetropic data and ap-
plying it to the other three refractive
groups.
2324 Jones et al. IOVS, July 2005, Vol. 46, No. 7
time at which the subjects entered the study. Growth curves
for the incident myopes resembled those of the prevalent
myopes but were only offset vertically by the amount of myo-
pia that progressed in the intervening years after onset. How-
ever, some caution should be exercised when generalizing the
curves to individual myopes due to the difference in age of
onset.
Given the similarities of the emmetropic and myopic eye at
baseline, it appears the time frame for treatment and prediction
before the onset of myopia is relatively short. When the ability
to discriminate is limited to a short window in advance of
onset, more frequent pediatric eye examinations may be nec-
essary, to catch children at the critical time when onset would
be predictable. Effective treatments to prevent or delay onset
must also work within a similarly short period.
There is the potential that the shorter follow-up of persis-
tent emmetropes may have had an impact on the curves. Data
were available for persistent emmetropes across a range of
visits, so the modeling techniques applied should yield robust
estimates (data not presented). Given that the persistent em-
metropes were older at baseline, some of the length-of-fol-
low-up issue may be related to the study design. The staggered
entry at the study’s beginning and cutoff at grade 8 may have
yielded emmetropes who were only able to have three or four
visits. When we identified a child as an emmetrope at an older
age, it was more likely that he or she would continue to remain
an emmetrope. Children who were enrolled in grade 6 as an
emmetrope had the opportunity to have only three visits. It is
also possible that the length of follow-up is related to the lack
of incentive for an emmetropic child to continue to participate
FIGURE 7. Growth curve for ante-
rior chamber depth, using the best
model derived from emmetropic data
and applying it to the other three
refractive groups.
FIGURE 8. Growth curve for axial
length, using the best model derived
from emmetropic data and applying
it to the other three refractive
groups.
IOVS, July 2005, Vol. 46, No. 7 Refractive Error Growth Curves 2325
in the study. Because 76% of the emmetropes had their last
visits at age 13 or 14, we believe that the more likely reason is
the former than the latter. The strict criteria for classifying
persistent emmetropes also make them the most susceptible to
any measurement variability over the course of the study.
Although this has the effect of limiting the size of the em-
metrope sample, it would not be expected to introduce bias.
As a follow-up, all the potential growth curve models
tested on persistent emmetropic children
25
were applied to
each of the components within each of the refractive error
groups—that is, a total of 48 models for each refractive error
group–component pair. Just as for the persistent em-
metropic group, AIC values were used to determine the
most appropriate model to relate age and each ocular com-
ponent within each refractive error group. In several cases,
the persistent emmetropic model represented the best
model for a refractive error group or component (two mod-
els in myopes and one model in emmetropizing hyperopes).
For the remaining components, the AIC corresponding to
the persistent emmetropic model was often relatively close
(within 10%) to the AIC of the best model. There were three
cases in which the persistent emmetropic form AIC and the
best model differed by more than 10%, which infers that the
persistent emmetrope model was not a good fit for that data
(models not shown). Therefore, even after forcing the per-
sistent emmetropes’ models on other refractive groups, the
models seem to make an accurate representation of change
in an ocular component with age.
FIGURE 9. Growth curve for vitre-
ous chamber depth, using the best
model derived from emmetropic data
and applying it to the other three
refractive groups.
FIGURE 10. Growth curve for cor-
neal power, using the best model de-
rived from emmetropic data and ap-
plying it to the other three refractive
groups.
2326 Jones et al. IOVS, July 2005, Vol. 46, No. 7
This growth curve method has many potential applications
in the field of vision science. We are currently using it to
evaluate the onset of myopia based on time before and after
onset to determine changes in components and their relation
to its development. It also holds promise for studying the
modulation of components in the process of emmetropization,
by allowing for a detailed look at the stepwise growth over the
period.
CONCLUSIONS
Comparisons of growth curves between persistent em-
metropes and three other refractive error groups show that
there are many similarities in the growth patterns for both the
emmetropizing and persistent hyperopes, while the differ-
ences in growth lie mainly between the emmetropes and
myopes. Emmetropizing hyperopes and persistent em-
metropes have a similar pattern of growth. The curves of the
emmetropizing hyperopes represent a middle ground between
the persistent emmetropes and persistent hyperopes. This
gives a starting point to establish what constitutes “normal”
eyes and shows that emmetropic eyes do indeed grow. The
relation between the curves of the persistently emmetropic
eye and the ametropic eye support the concept that hyperopia
and emmetropia are more a product of initial size rather than
rate of growth, whereas emmetropia and myopia are distin-
guished more by growth than initial size.
References
1. Javitt JC, Chiang YP. The socioeconomic aspects of laser refractive
surgery. Arch Ophthalmol. 1994;112:1526–1530.
2. Sperduto RD, Seigel D, Roberts J, Rowland M. Prevalence of myo-
pia in the United States. Arch Ophthalmol. 1983;101:405– 407.
3. Grosvenor T, Perrigin DM, Perrigin J, Maslovitz B. Houston Myopia
Control Study: a randomized clinical trial. Part II. Final report by
the patient care team. Am J Optom Physiol Opt. 1987;64:482– 498.
4. Jensen H. Myopia progression in young school children. A pro-
spective study of myopia progression and the effect of a trial with
bifocal lenses and beta blocker eye drops. Acta Ophthalmol Suppl.
1991:1–79.
5. Fulk GW, Cyert LA, Parker DE. A randomized trial of the effect of
single-vision vs. bifocal lenses on myopia progression in children
with esophoria. Optom Vis Sci. 2000;77:395– 401.
6. Gwiazda J, Hyman L, Hussein M, et al. A randomized clinical trial
of progressive addition lenses versus single vision lenses on the
progression of myopia in children. Invest Ophthalmol Vis Sci.
2003;44:1492–1500.
7. Pa¨rssinen O, Lyyra AL. Myopia and myopic progression among
schoolchildren: a three-year follow-up study. Invest Ophthalmol
Vis Sci. 1993;34:2794 –2802.
8. Edwards MH, Li RW, Lam CS, Lew JK, Yu BS. The Hong Kong
progressive lens myopia control study: study design and main
findings. Invest Ophthalmol Vis Sci. 2002;43:2852–2858.
9. Horner DG, Soni PS, Salmon TO, Swartz TS. Myopia progression in
adolescent wearers of soft contact lenses and spectacles. Optom
Vis Sci. 1999;76:474 479.
10. Leung JT, Brown B. Progression of myopia in Hong Kong Chinese
schoolchildren is slowed by wearing progressive lenses. Optom
Vis Sci. 1999;76:346 –354.
11. Lin LL, Shih YF, Tsai CB, et al. Epidemiologic study of ocular
refraction among schoolchildren in Taiwan in 1995. Optom Vis
Sci. 1999;76:275–281.
12. Grosvenor T. The neglected hyperope. Am J Optom Arch Am
Acad Optom. 1971;48:376 –382.
13. Rosner J. The still neglected hyperope. Optom Vis Sci. 2004;81:
223–224.
14. Fischbach LA, Lee DA, Englehardt RF, Wheeler N. The prevalence
of ocular disorders among Hispanic and Caucasian children
screened by the UCLA Mobile Eye Clinic. J Community Health.
1993;18:201–211.
15. Pointer JS. A 6-year longitudinal optometric study of the refractive
trend in school-aged children. Ophthalmic Physiol Opt. 2001;21:
361–367.
16. Ma¨ntyja¨rvi MI. Changes of refraction in schoolchildren. Arch Oph-
thalmol. 1985;103:790 –792.
17. Hirsch MJ. Predictability of refraction at age 14 on the basis of
testing at age 6: Interim Report from the Ojai Longitudinal Study of
Refraction. Am J Optom Arch Am Acad Optom. 1964;41:567–573.
18. Zadnik K, Mutti DO, Friedman NE, Adams AJ. Initial cross-sectional
results from the Orinda Longitudinal Study of Myopia. Optom Vis
Sci. 1993;70:750 –758.
19. Harris WF. Algebra of sphero-cylinders and refractive errors, and
their means, variance, and standard deviation. Am J Optom Physiol
Opt. 1988;65:794 802.
20. Mutti DO, Zadnik K, Adams AJ. A video technique for phakometry
of the human crystalline lens. Invest Ophthalmol Vis Sci. 1992;
33:1771–1782.
21. Sorsby A, Leary G, Richards A, Chaston J. Ultrasonographic mea-
surement of the components of ocular refraction in life. Clinical
procedures: ultrasonographic measurements compared with pha-
kometric measurements in a series of 140 eyes. Vision Res. 1963;
3:499–505.
22. Van Veen H, Goss D. Simplified system of Purkinje image photog-
raphy for phakometry. Am J Optom Physiol Opt. 1988;65:905–
908.
23. Emsley H. Visual Optics. London: Hatton Press, 1955; Optics of
Vision; vol. 1.
24. Hogg R, Tanis E. Probability and Statistical Inference. 2nd ed.
New York: Macmillan Publishing Co., 1983:266.
25. Zadnik K, Mutti DO, Mitchell GL, Jones LA, Burr D, Moeschberger
ML. Normal eye growth in emmetropic schoolchildren. Optom Vis
Sci. 2004;81:819 828.
26. Pinheiro J, Bates D. Mixed-Effects Models in S and S-Plus. New
York: Springer-Verlag, 2000:528.
IOVS, July 2005, Vol. 46, No. 7 Refractive Error Growth Curves 2327
... Of note, 13 of 83 (16%) children were of Asian ethnicity (male: 6 of 33, 18%; female: 7 of 50, 14%); all others were caucasian. Figure 1 shows the baseline axial lengths (AL) plotted against the individual age with reference to the 98th and 50th percentiles curves of a German cohort as collected by Truckenbrod et al. [27] (black lines) and to the modeled AL growth for emmetropic children of the OLSM (Orinda Longitudinal Study of Myopia) as assessed by Jones et al. [36] from cycloplegic autorefraction. All baseline values lie above the 50th percentile, which corresponds to axial length associated with emmetropia in adulthood, and also above the modeled AL growth curve for emmetropic children of Jones et al. [36]. ...
... Figure 1 shows the baseline axial lengths (AL) plotted against the individual age with reference to the 98th and 50th percentiles curves of a German cohort as collected by Truckenbrod et al. [27] (black lines) and to the modeled AL growth for emmetropic children of the OLSM (Orinda Longitudinal Study of Myopia) as assessed by Jones et al. [36] from cycloplegic autorefraction. All baseline values lie above the 50th percentile, which corresponds to axial length associated with emmetropia in adulthood, and also above the modeled AL growth curve for emmetropic children of Jones et al. [36]. More than half of baseline AL are above the 98th percentile, which represents axial length associated with high myopia in adulthood, in both the male (55%) and female (63%) cohort. ...
... More than half of baseline AL are above the 98th percentile, which represents axial length associated with high myopia in adulthood, in both the male (55%) and female (63%) cohort. Figure 2 depicts the AL/CR ratios of all eyes at baseline as plotted against the individual age, overlaid with AL/CR ratio development as calculated from model curves for children who remained emmetropic (solid black line) and myopic children (dotted black line) by Jones et al. [36]. It reveals that the baseline AL/CR ratios of the analyzed eyes are higher than those of the emmetropes, indicating a relatively increased AL of these eyes and confirming the categorization of axial myopia. ...
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Objectives This retrospective analysis evaluates the treatment success of “Defocus Incorporated Multiple Segments” (DIMS) spectacle lenses in a real-life clinical setting in Germany. Materials and methods Axial length (AL) and objective refraction of 166 eyes treated with DIMS at baseline and 12-month follow-up were analyzed. Annual AL growth rate within the range of physiological growth rate was considered a successful treatment. Myopia progression of ≥ -0.5 D/yr accounted as treatment success. Differences in percentages of treatment success of subgroups depending on baseline AL and age against treatment success of the total population were investigated. Results Considering all eyes, treatment success regarding AL growth and myopia progression was achieved in 46% and 65%, respectively. Male eyes with moderate AL showed treatment success in a higher proportion (73%, p < 0.01; 89%, p < 0.01); eyes with high AL showed treatment success in a lower proportion (25%, p < 0.01; 51%, n.s.). Female eyes showed the same trend but without statistical significance (moderate AL: 49%; 68%; high AL: 40%; 62%). Younger children showed treatment success in a lower proportion (male: 11%, p < 0.01; 38%, p < 0.05; female: 25%, p < 0.01; 42%, p < 0.01). Older children showed treatment success in a higher proportion (male: 60%, p < 0.05; 78% p < 0.05; female: 53%, n.s.; 77% p < 0.05). Conclusions Eyes with moderate baseline AL and of older children showed treatment success after 12 months of DIMS treatment. Eyes with a high baseline AL and of younger children showed treatment success in a smaller proportion, therefore combination treatment should be considered. In future studies, males and females should be assessed separately.
... 22,25,26 There is therefore a need to develop a model for instantaneous change in axial length incorporating the relevant covariates. Jones et al. 27 appear to have been the first to generate growth curves for axial length in children, using data from the Orinda Longitudinal Study of Myopia. The approach was subsequently replicated in Singaporean children by Wong et al. 28 using data from the Singapore Cohort Study of the Risk Factors for Myopia (SCORM). ...
... Nonetheless, rate estimates can be derived from previous models. Jones et al. 27 appear to have been the first to generate growth curves for the ocular components in children, using data from the Orinda Longitudinal Study of Myopia. Their curves included refractive error and various components of the eye, including axial length for emmetropes, myopes, emmetropizing hyperopes, and persistent hyperopes. ...
... Our model for Asian children agrees well with both previous models using Chinese children, 29,46 with overlap between 10 and 12 years and differences at younger and older ages probably attributable to the equations fit to the data. Likewise, our model for non-Asian children is comparable with models based on US children, 27,38 with the lines overlapping between 10 and 11 years. ...
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PURPOSE Axial elongation is the basis of progression in primary myopia and the preferred metric to monitor its evolution. We conducted a meta-regression to model axial elongation and its associated factors in children with low to moderate myopia. METHODS A comprehensive electronic systematic search was performed using Ovid Medline, EMBASE, and Cochrane Central Register of Controlled Trials of studies conducted up until October 2021. The mean rate of axial elongation was analyzed using a multivariate linear mixed-effects meta-regression model, with backward stepwise elimination of nonsignificant covariates. The model included three levels of random effects, allowing both prediction and confidence intervals to be estimated. RESULTS A total of 64 studies with 83 subpopulations and 142 evaluations of mean axial change from baseline met our inclusion criteria and had no missing significant covariates in the final model. A separate analysis including all populations with axial length data (202 evaluations) but missing variance or covariate data produced a similar model to that for the analysis with complete data. The mean axial elongation is 38% greater in Asian children (95% confidence interval, 19 to 61%; p<0.01) compared with non-Asians, but both groups show a 15% decline per year as age increases (95% confidence interval, 12 to 17% p<0.0001). Prediction intervals indicate substantial variability around the axial elongation estimates. CONCLUSIONS This analysis provides mean values of axial elongation for evaluation of efficacy of myopia control. The broad prediction intervals emphasize the large range of individual axial elongation rates in the population, illustrating the challenge in managing individual children. Interpretation of the analysis is limited by the use of aggregated data rather than individual subject data.
... Myopic eyes have a significantly different ocular growth curve than emmetropic eyes. Myopic eyes experience a fast increase in axial length before age 16 years 17 . In contrast to mild changes of corneal refractive power or lens power, an increase of vitreous chamber depth is prominent 17 . ...
... Myopic eyes experience a fast increase in axial length before age 16 years 17 . In contrast to mild changes of corneal refractive power or lens power, an increase of vitreous chamber depth is prominent 17 . Therefore, the current study used changes in axial length as the key outcome measurement. ...
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Defocus incorporated multiple segment (DIMS) lenses and repeated low-level red-light (RLRL) are used to retard myopia progression. However, it is currently unknown if there is a synergistic effect of the two interventions. In the current study, 190 school-aged children with myopia (380 eyes) were studied for the change in axial length (AL) over nearly one year of follow-up. Of 380 eyes, 170 eyes wore DIMS lenses, 80 eyes had RLRL therapy, and 130 eyes had both interventions (DIMS_RLRL) for myopia control. AL changes were calculated at each follow-up visit by subtracting the baseline measurements and normalized to yearly changes in mm. AL changes as a primary outcome were analyzed in a generalized linear mixed model to compare effect sizes of myopia control among three interventions while adjusting for age, sex, baseline axial length, and follow-up length. Participants had a mean age of 9.84 ± 2.63 years old, mean AL of 24.49 ± 1.20 mm, mean SER of -2.90 ± 2.08 diopters, and mean follow-up time of 301 ± 91 days. By the end of the study, the adjusted mean yearly axial change with combination therapy was − 0.13 mm, -0.04 mm for the eyes with RLRL alone, and 0.16 mm for the eyes with DIMS lenses alone (p < 0.0001). Combination therapy of DIMS and RLRL has significantly greater effect size in controlling myopia progression than either RLRL alone (p = 0.0009) or DIMS alone (p < 0.0001).
... Therefore, compensatory AL growth should be used as a reference to estimate the effectiveness of myopia treatments, particularly for orthokeratology lenses. The observed AL growth in emmetropic eyes in our study aligns with findings from previous studies [23,24]. In a study conducted in South China documented an annual AL growth of 0.16 mm among Grade 1 students, and 0.17 mm among Grade 4 students with persistent emmetropia in elementary school, demonstrating consistency with our results [25]. ...
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To investigate the pattern and threshold of physiological growth, defining as axial length (AL) elongation that results in little refraction progression, among Chinese children and teenagers, a total of 916 children aged between 7 and 18 years from a 6-year longitudinal cohort study were included for analysis. Ocular biometry, cycloplegic refraction and demographic data were obtained annually. Physiological growth was calculated based on myopic progression and Gullstrand eye model, respectively. The annual change in AL was found to be significantly smaller in the persistent emmetropia (PE) group compared to the incident myopia (IM) and persistent myopia (PM) group at all ages (all P < 0.05). In children with non-progressive myopia, there was observed axial elongation ranging from 0.17 to 0.23 mm/year between the ages of 9 and 12. This growth rate persisted at approximately 0.10 mm/year beyond the age of 12. While the compensated AL growth calculated using Gullstrand model was only 0.02 to 0.15 mm/year at age of 9–12, and decreased to around 0 mm/year after age of 12. For children aged 7–9 years, the cutoff point for AL growth to distinguish between progressive myopia and non-progressive myopia was 0.19 mm/year. These findings indicate a notable disparity between the thresholds of physiological growth calculated using myopic progression and Gullstrand eye model. This observation suggests that when formulating effective myopia control strategies, consideration should be given to different calculation methods when applying physiological AL growth as a starting point or target.
... 5 In all ethnicities other than Asians, females have shorter ALs and more steeply curved corneal radii than males, 5 whereas for Asians, females have longer ALs than males. 5 The term 'Asian' refers to the countries and regions of Eastern Asia. 5 There are wide ranging values of AL and CRC in the literature including studies based on differences of the year of study, 6-10 geographical location, [11][12][13][14][15] ethnicity, 5,16 age 17,18 and sex. [19][20][21] One of the major shortcomings in investigations of refractive error and the AL/CRC ratio is the lack of standard deviations (SD) in population measurements of spherical equivalent (SE). ...
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... Boys exhibited a decline from 0.165 mm/year to 0.050 mm/year, while girls declined from 0.168 mm/ year to 0.063 mm/year. These findings aligned with our previous research and shared a similar AL development pattern with the Orinda Longitudinal Study of Myopia (OLSM) 16 and the Singapore Cohort Study of the Risk Factors for Myopia (SCORM). 34 Chamberlain et al considered the AL growth in the virtual emmetropia cohort within these two models as the physiological AL component. ...
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Objectives To examine the ocular biometric parameters and predict the annual growth rate of the physiological axial length (AL) in Chinese preschool children aged 4–6 years old. Methods This retrospective cross-sectional study included 1090 kindergarten students (1090 right eyes) between the ages of 4 and 6 years from Pinggu and Chaoyang District, Beijing. Dioptre values were ascertained following cycloplegic autorefraction. Predicted AL was obtained through the application of the Gaussian process regression model as an optimisation technique. Subsequently, the annual growth rate of physiological AL for non-myopic preschool children (n=1061) was computed via the backward difference method. Results In total, 85.4% of preschool children (931 individuals) had hyperopic refractive status in the 4–6 years age group, while only 2.7% (29 individuals) showed myopia. Boys had longer AL, larger AL-to-corneal radius ratio, deeper anterior chamber depth and lower lens power. The average physiological axial growth for boys and girls ranged from 0.050 mm/year to 0.165 mm/year and 0.063 mm/year to 0.168 mm/year, respectively. As age increased, the physiological AL growth in non-myopic cases decreased. Additionally, as hyperopic spherical equivalent refraction error lessened, the physiological AL growth component slowed down. Conclusions In preschool children, refractive development predominantly exhibits mild hyperopia. The concept of physiological AL provides valuable insights into the complexities of ocular development.
... A similar growth pattern in AL was found in tree shrews, 38 rhesus monkeys, 31 and humans. 42 In the present study, mouse AL grew rapidly until postnatal day 39, followed by slow growth until 4 months of age. After 4 months, the AL continued to increase at a very slow rate. ...
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Purpose To investigate the changes in choroidal thickness (ChT), refractive status, and ocular dimensions in the mouse eye in vivo using updated techniques and instrumentation. Methods High-resolution swept-source optical coherence tomography (SS-OCT), eccentric infrared photoretinoscopy, and custom real-time optical coherence tomography were used to analyze choroidal changes, refractive changes and ocular growth in C57BL/6J mice from postnatal day (P) 21 to month 22. Results The ChT gradually increased with age, with the thickest region in the para-optic nerve head and thinning outward, and the temporal ChT was globally thicker than the nasal ChT. Retinal thickness remained stable until 4 months and subsequently decreased. The average spherical equivalent refraction error was −4.81 ± 2.71 diopters (D) at P21, which developed into emmetropia by P32, reached a hyperopic peak (+5.75 ± 1.38 D) at P82 and returned to +0.66 ± 1.86 D at 22 months. Central corneal thickness, anterior chamber depth, lens thickness, and axial length (AL) increased continuously before 4 months, but subsequently exhibited subtle changes. Vitreous chamber depth decreased with lens growth. ChT was correlated significantly with the ocular parameters (except for retinal thickness) before the age of 4 months, but these correlations diminished after 4 months. Furthermore, for mice younger than 4 months, the difference in the ChT, especially temporal ChT, between the two eyes contributed most to that of axial length and spherical equivalent refraction error. Conclusions Four months could be a watershed age in the growth of mouse eyes. Large-span temporal recordings of refraction, ocular dimensions, and choroidal changes provided references for the study of the physiological and pathological mechanisms responsible for myopia.
... 22 Direct comparison between the DOT 0.2 and HAL spectacle lens study outcomes is complex due to differences in study design and participant age and ethnicity. Younger children are known to undergo more rapid physiological eye growth (even in persistent emmetropic eyes), 23 which is likely to have dampened percentage efficacy measures in the CYPRESS clinical trial, 12 which recruited children aged 6-10 years (vs 8-13 years in the HAL study). 12 24 Additionally, extrapolation of Asian study outcomes to other regions may not be appropriate due to environmental, behavioural and genetic differences between populations. ...
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Aims To evaluate the myopia control efficacy of Diffusion Optics Technology (DOT) spectacle lenses in children over a 4-year treatment period. Methods CYPRESS Part 1 ( NCT03623074 ) was a 3-year multicentre, randomised, controlled, double-masked trial comparing two investigational spectacle lens DOT designs (Test 1, Test 2) and standard single vision Control lenses in 256 North American children aged 6–10 years. Children completing Part 1 (n=200) were invited to enrol in CYPRESS Part 2 ( NCT04947735 ) for an additional 1-year period. In Part 2, Test 1 (n=35) and Control groups (n=42) continued with their original lens assignment and the Test 2 group (n=21) were crossed over to Test 1 (DOT 0.2) lenses. The co-primary endpoints were change from baseline in axial length (AL) and cycloplegic spherical equivalent refraction (cSER). Results Test 1 spectacle lenses demonstrated superiority to the Control in both co-primary endpoints: with a difference between means (Test 1−Control) of −0.13 mm for AL (p=0.018) and 0.33 D for cSER (p=0.008) in Part 1 and −0.05 mm for AL (p=0.038) and 0.13 D for cSER (p=0.043) in Part 2. Comparing treatment effects in Part 1 and 2 suggests that COVID-19 public health restrictions negatively impacted treatment efficacy in study years 2 and 3. Conclusion DOT 0.2 spectacle lenses are safe and effective at reducing myopia progression, with additional benefit evident in year 4 of wear. These results support the hypothesis that a mild reduction in retinal contrast can slow myopia progression in young children. The unprecedented disruption in participant schooling and lifestyle during the COVID-19 pandemic may have depressed treatment efficacy in Part 1.
... Studies on normative data for axial elongation show that axial length normally increases in emmetropic children, but myopic children show faster rate of axial elongation than those who are emmetropic or hyperopic. [12][13][14][15] Terminology about treatment options for myopia varies within the eye care field and can create ambiguity and confusion. The terms "myopia correction," "myopia control," and "myopia management" used in this article are defined as follows: ...
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Objective To investigate the effect of spectacle correction on refractive progression in children with unilateral myopic anisometropia (UMA). Methods In this retrospective study, 153 children with UMA (aged 8–12 years) were recruited and classified into an uncorrected (UC) group ( n = 47) and a spectacle (SP) group ( n = 106). The spherical equivalent refraction (SER) of the myopic eyes ranged from −0.75 to −4.00 D; the SER of the emmetropic eyes ranged from +1.00 to −0.25 D; anisometropia was ≥1.00 D and the follow‐up duration was 1 year. Nineteen subjects from the SP group with follow‐up records spanning at least 6 months before and after wearing spectacles were selected as a subgroup. Changes in the SER and axial length (AL), the degree of anisometropia and interocular AL differences of the two groups and the subgroup were analysed. Results During the 1‐year follow‐up period, AL and SER changes in myopic eyes were significantly greater than those in emmetropic eyes in the UC group ( p < 0.001). For the UC group, the degree of anisometropia and AL change increased (all p < 0.001). For the SP group, there were no significant differences in the degree of anisometropia or AL change (all p > 0.05). When comparing the groups, AL elongation of the myopic eyes in the UC group occurred significantly faster than in the SP group ( p = 0.02), and AL elongation for the emmetropic eyes in the UC group occurred significantly slower than in the SP group ( p = 0.04). For the subgroup, the AL and SER changes in the myopic eyes 6 months before wearing spectacles occurred significantly faster than those after correction ( p < 0.001). Conclusions Spectacle correction could prevent increased anisometropia in uncorrected children with UMA by slowing myopia progression in the myopic eyes and accelerating the myopic shift in the contralateral eye.
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Accurate measurement of the dioptric power of the human crystalline lens is important in any study of ocular development and refractive error. Previous studies have used comparison ophthalmophakometry, measuring crystalline lens curvature and power from still flash photographs of Purkinje images I, III, and IV. This report presents a video-based technique for in vivo measurement of crystalline lens power suitable for use with children. The repeatability and validity of this video system were evaluated in comparison to a still photograph system through the measurement of anterior and posterior lens curvatures of 40 normal adults. The video system's repeatability (95% limits of agreement) was +/- 0.52 diopters for the anterior lens power, +/- 0.73 D for the posterior lens power, and +/- 0.88 D for the total lens power. The repeatability of the still flash photography system was +/- 0.78 D for the anterior, +/- 1.43 D for the posterior, and +/- 1.84 D for the lens power as a whole. An indirect method of calculating lens power using other ocular component measures gave a repeatability of +/- 1.78 D. The validity of the video system was improved by having the camera and the light source closer to the optic axis of the eye. The bias induced by having a more off-axis configuration (40 degrees separation between camera and light source) was a +0.10 D overestimation of surface power for the anterior and +0.73 D for the posterior lens surface power compared to a more coaxial arrangement (20 degrees between camera and light source). The use of video phakometry improved the repeatability and the validity of lens curvature measures relative to still flash photograph comparison ophthalmophakometry and to an indirect method of calculating lens power. This was achieved through the system's ability to analyze multiple frames, the use of a collimated light source, and the placement of the light source for the Purkinje images closer to the eye's optic axis.
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PURPOSE. To determine whether the use of progressive addition spectacle lenses reduced the progression of myopia, over a 2-year period, in Hong Kong children between the ages of 7 and 10.5 years. METHODS. A clinical trial was carried out to compare the progression in myopia in a treatment group of 138 (121 retained) subjects wearing progressive lenses (PAL; add + 1.50 D) and in a control group of 160 (133 retained) subjects wearing single vision lenses (SV). The research design was masked with random allocation to groups. Primary measurements outcomes were spherical equivalent refractive error and axial length (both measured using a cycloplegic agent). RESULTS. There were no statistically significant differences between the PAL and the SV groups for of any of the baseline outcome measures. After 2 years there had been statistically significant increases in myopia and axial length in both groups; however, there was no difference in the increases that occurred between the two groups. CONCLUSIONS. The research design used resulted in matched treatment and control groups. There was no evidence that progression of myopia was retarded by wearing progressive addition lenses, either in terms of refractive error or axial length.
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Sphero-cylinders and refractive errors can be represented by matrices. Matrix algebra provides methods whereby sphero-cylinders can be added, subtracted, multiplied, inverted, and raised to powers and can have roots extracted. These operations are defined for sphero-cylinders and examples are given. In terms of these operations a number of means of refractive errors are defined: the arithmetic, harmonic, and quadratic means. Furthermore it is possible to define a variance and standard deviation for refractive errors. These quantities should provide a basis for a formal approach to the statistical analysis of populations of refractive errors.