Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
  • Users Online: 1354
  • Home
  • Print this page
  • Email this page

   Table of Contents      
ORIGINAL ARTICLE
Year : 2014  |  Volume : 62  |  Issue : 8  |  Page : 865-869

Relationship of lifestyle and body stature growth with the development of myopia and axial length elongation in Taiwanese elementary school children


Department of Ophthalmology, Chung-Gung Memorial Hospital, Chung-Gung University, Taiwan

Date of Submission28-May-2013
Date of Acceptance14-Jun-2014
Date of Web Publication18-Sep-2014

Correspondence Address:
Meng-Ling Yang
No 5, Fu-Shin Street, Kwei-Shan Hsien, Tau-Yuan Hsiang
Taiwan
Login to access the Email id

Source of Support: Funded by a grant from chung gung memorial hospital, Conflict of Interest: None


DOI: 10.4103/0301-4738.141047

Rights and Permissions
  Abstract 

Context: The development of myopia and growth of the eye, occur at a time when body stature is increasing. Aims: To investigate the relationship of lifestyle and body growth with axial elongation and myopia development among schoolchildren aged 7 to 9 years. Settings and Design: Prospective study. Materials and Methods: Children in elementary schools without serious eye disorders were invited to participate. We measured cycloplegic refraction, corneal curvature, intraocular pressure, axial length, body height, and weight. Questionnaires about the children's daily lifestyles, family members' myopia and parents' socio-demographic status were completed. The children were followed up every 6 months in a 3-year period. Statistical Analysis Used: Bivariate correlations, simple and multiple regression. Results: Eighty-eight children participated in this study. Forty-eight were myopic at the beginning of the study, and their myopia correlated with longer axial length and parental myopia (P = 0.015, 0.012). Sixty-five children (74%) completed the study, and the rates of change per year were -0.43 ± 0.58 (mean + standard deviation) diopters in spherical equivalence, 0.32 ± 0.25 mm in axial length (AL), 5.73 ± 2.71 cm in body height, and 3.84 ± 2.23 kg in weight. The axial length change was positively correlated with the height change (P < 0.001). The myopia shift was correlated to axial length change (P = 0.000) but not correlated to height change. Using multiple regression test, near work was the only significant risk factor for myopia progression (P = 0.022). Conclusions: Our study showed that body height increment was correlated to axial length elongation but not to myopia shift in children aged 7-9 years. Genetic factors such as parental myopia and body height had a possible influence on myopia development, and the environment factor as near work intensity was related to myopia progression.

Keywords: Axial length elongation, body stature growth, lifestyle, myopia


How to cite this article:
Huang CY, Hou CH, Lin KK, Lee JS, Yang ML. Relationship of lifestyle and body stature growth with the development of myopia and axial length elongation in Taiwanese elementary school children . Indian J Ophthalmol 2014;62:865-9

How to cite this URL:
Huang CY, Hou CH, Lin KK, Lee JS, Yang ML. Relationship of lifestyle and body stature growth with the development of myopia and axial length elongation in Taiwanese elementary school children . Indian J Ophthalmol [serial online] 2014 [cited 2020 Jul 7];62:865-9. Available from: http://www.ijo.in/text.asp?2014/62/8/865/141047

Myopia has become a public health issue in Taiwan. Studies have shown that myopia usually starts between the ages of 6 and 14 years, and progresses until the general physical growth stage finishes at the end of adolescence. [1],[2] The growth of the eye at a time when body stature is also increasing suggests the potential for a shared mechanism of action. In this study, we investigate the relationship of axial length change and body status change, as well as the possible effects of lifestyle (intensity of near work and outdoor activity) on the myopic shifts among elementary schoolchildren.


  Materials and Methods Top


All children aged 7-9 years from two schools located in a semirural area of northern Taiwan were invited to join this study from 2010 to 2012. Children with any serious ophthalmic disorders, such as congenital cataracts, glaucoma, strabismus, anisometropia or amblyopia, were excluded from this study. The parents provided written informed consent. The study was approved by the ethics committee and the study's protocol adhered to the tenets of the Declaration of Helsinki.

The children were examined in the pediatric eye clinics by three ophthalmologists. A complete ocular examination and intraocular pressure measurement were obtained. After the instillation of 0.5% proparacaine, cycloplegia was induced in each eye by administering one drop of 1% cyclopentolate solution and 2 drops of 1% tropicamide solution at 10-minute intervals. Thirty minutes after the last drop was administered, the measurements of refraction and corneal curvature were taken with an auto-kerato-refractor (model RK-F1; Canon Inc, Ltd., Tochigiken, Japan). The average of six consecutive measures (all readings < 0.25 D apart) was taken. The average of two measurements of the corneal radii of curvature in the flatter and steeper meridians was also calculated. A biometry ultrasound unit (probe frequency of 10 MHz; model A-5500; Sonomed Co., Ltd, N.Y., USA) was used to measure the axial length (AL). The average of six measurements was taken, and the standard deviation (SD) of these six readings was less than 0.12 mm. Height was measured with students standing without shoes. Weight in kilograms was measured using one standard weighing machine calibrated before the beginning of the study. Parents completed a comprehensive questionnaire during the visit, which included the total family income per year, parental education, parental myopia, time and type of their children's near work, and time and type of their children's outdoor activities. The children were required to return to the clinics for examinations and to take a questionnaire every half-year.

Definition

The spherical equivalent (SE) of the eye was calculated as sphere power + (0.5 × cylinder power). Myopia was defined as an SE less than - 0.5 diopter (D). The rate of change in the SE, AL, height, and weight were determined by the total changes (data in the last visit - the first visit) divided by the duration of follow-up.

Data analysis

Data analysis was conducted using computer software, statistical package for the social sciences (SPSS, ver. 13.0). As the biometric data for the right and left eye were highly correlated, analyses were performed using data for the right eye only. Bivariate correlations between the AL and height were calculated. The relationship between the analyzed variables and myopia was assessed by logistic regression. Simple linear regression and multiple linear regression analyses were conducted to investigate the association of the factors with myopic progression. All probabilities quoted are two-sided and were considered statistically significant when they were less than 0.05. The correlation coefficients are presented as R (95% confidence interval [CI]).


  Results Top


There were 88 children (47 boys and 41 girls) who participated in the study. The data on ocular biometric and body stature are shown in [Table 1], and the distributions of daily activities are shown in [Table 2]. Forty-eight of the children were myopic. Using logistic regression to determine the possible relationships with myopia, only the AL and parental myopia were significant [Table 3]. Twenty-three children were excluded from the following analysis for irregular follow-up or incomplete data. They were found to be similar in age, sex, refractive error, ocular biometric parameters, body stature, sociodemographic status, near work, and outdoor activity when compared with the 65 children who were included [Table 1].
Table 1: Baseline demographic characteristics, ocular biometry and body stature in different groups

Click here to view
Table 2: The distribution of daily activities

Click here to view
Table 3: Logistic regression analysis of factors associated with myopia in all children at the beginning of the study (N=88)

Click here to view


At the final visit, there were significant differences in the SE, AL, body height, and body weight compared to the first visit (paired t test, P < 0.001 for each parameter). The changes of the corneal curvature were not significant. After adjusting for gender and age, the correlations between the AL and height were statistically significant at the first (r = 0.30, P = 0.038, 95% CI, -0.021 to 0.540) and at the final visits (r = 0.39, P = 0.003, 95% CI, 0.141 to 0.598). The correlation between the AL change (AL in final visit - AL in the beginning) and the height change was also statistically significant (r = 0.55, P < 0.001, 95% CI, 0.246 to 0.793) [Figure 1]. The change rates were - 0.43 ± 0.58 D (mean + standard deviation) per year in SE, 0.32 ± 0.25 mm per year in AL, 5.73 ± 2.71 cm per year in body height, and 3.84 ± 2.23 kg per year in body weight. The myopia progression rate was correlated to the AL elongation rate (r = −0.64, P = 0.000, 95% CI, −0.889 to −0.376). The correlation between myopia progression rate and the rate of height change or weight change was not significant. Using multiple linear regression, to determine the possible factors affecting the rate of SE change (myopic shift), only total near work was significant [Table 4]. These data showed that children who do more total near work are predisposed to developing a greater myopic shift.
Table 4: Linear regression analysis of factors associated with myopic progression rate (N=65)

Click here to view
Figure 1: The correlation between the axial length change per year and the height change per year 1.Axial length data with good reliability (The average of six measurements was taken, and the SD of these six readings was less than 0.12 mm) was used for analysis (n = 42). 2.Correlation r = 0.55, P < 0.001

Click here to view



  Discussion Top


The rate of myopia progression is fastest from ages 6 to 9 years, and an early onset of myopia is associated with high myopia in adult life. [2] Environmental factors, especially such near work as reading, writing, and watching TV, and educational level have been associated with myopia. [3],[4],[5] A history of myopia in one's parents or siblings also predisposes a subject to myopia. [6],[7] Several pieces of evidence have suggested that increased outdoor activities may help to prevent myopia. [8],[9],[10] The major structural cause of myopia is an excessive axial elongation of the eye; on average, each diopter (D) of myopia in young adults is associated with an axial length (AL) increase of approximately 0.3 to 0.5 mm. [11],[12]

This study showed that AL was positively correlated to body height in children aged 7 to 9 years upon both cross-sectional and longitudinal analysis and after adjusting for age and gender. These results are consistent with previous cross-sectional studies on either children or adult populations. [13],[14],[15],[16] In the study by Wong et al. [16] on Singaporean Chinese adults, taller persons were more likely to have longer axial lengths (+0.23 mm longer axial length for every 0.10 m difference in height). The data from Saw et al. [13] showed that in Singaporean children a +0.29 mm longer axial length in boys and a +0.32 mm longer axial length in girls for every 0.10 m difference in height. In the study by Ojaimi et al, [15] of 1765 year-1 Sydney school students, children in the 1 st quintile for height had an average AL of 22.39 ± 0.04 mm, compared with 22.76 ± 0.04 mm in children in the 5 th quintile. In the study by Wang et al [14]. the longitudinal changes of AL and height were concluded to occur concomitantly in children. Our study also showed that the rates of AL and height changes were related; thereby, indicating that the children aged 7-9 years who experienced greater height changes might also experience greater AL elongation at the same time. Zhang et al. [17] recruited 565 pairs of twins and revealed that 89% of the phenotypic correlation between AL and height was due to shared genetic factors.

Given that AL is a key determinant of myopia, the relationship between myopia and height should be confirmed. However, consistent results have not yet been achieved in cross-sectional studies. Saw et al. concluded that taller Singaporean Chinese children had eyes with longer ALs, deeper vitreous chambers, flatter corneas, and refractions that tended toward myopic. [13] In the study by Wong et al. [16] , taller Singaporean adults were found to have eyes with longer eyeballs, deeper anterior chambers, thinner lenses, and flatter corneas, although they lacked any increased prevalence of myopia. Ojami et al. [15] found a strong association between height and AL, but not SE. Similarly, our results showed that myopia was associated with AL but not with height, although AL and height were correlated. One possible explanation involves the roles played by the other ocular components, such as the cornea or lens. Blanco et al. studied 583 university students and found that in emmetropes or subjects with low myopia, the corneal curvature was directly correlated with AL. When the increase in AL is excessive, this compensatory effect of cornea tends to disappear. [18] Longitudinal studies have reported that lens thinning occurs throughout childhood (a reduction of 0.2 mm between 6 and 14 years of age). [19],[20] Some studies proposed that myopia may occur when AL elongation continues in the absence of compensatory lens changes. [21],[22]

Our results revealed that the rate of SE change is related to the rate of AL elongation, while the rate of SE change is not related to the rate of height change. In the recent study by Yip et al., [23] 1779 schoolchildren (aged ages 6 to 14 years) were assessed, and the mean age at the peak height velocity was found to be 11.47 years. The mean age of the peak AL velocity was 10.64 years, and the mean age of the peak SE velocity was 10.31 years. Children with earlier peak height velocities experienced earlier peak SE and AL velocities. Thus, variations in the onset and peak progression of myopia may be associated with height spurts. The study by Northstone et al. [24] compared the growth trajectories (between birth and 10 years), refractive errors (aged 11 to 15 years) and AL (aged 15 years) in a U.K. cohort. They concluded that up to the age of 10 years, shared growth mechanisms contribute to the scaling of the eye and body size but minimally to the development of myopia. All of these studies noted that there are some factors that are superior to the body/AL growth harmony that may interfere with the development of refractive power. Our result found that total near work was the most important factors to intensify the process of myopization, while outdoor activity was not associated. Near work plays a recognized role in myopia, [5],[25],[26] and evidence also indicated that outdoor activity may be a protective factor. [27] A threshold of 10-14 hours spent outdoors per week seems to protect against myopia. [8],[28] In the study by Lu et al., no protective effect was observed in a rural population of Chinese children, who averaged 6 hours of outdoor activity per week. [29] Our children spent fewer than 10 hours per week in outdoor activities, and this might explain the similarity of our results with those of Lu et al.

In summary, our data showed that body height changes are associated with AL elongation in children aged 7-9 years but show no association with SE changes. Parental myopia is a risk factor for myopia, while near work is a risk factor for myopic progression. To the best of our knowledge, this is the first study comparing the possible effects of genetic and environmental factors and body growth on myopia from both cross-sectional and longitudinal views. However, the results are limited due to the small sample size of the study. Further large scale cohort studies are necessary to confirm these results.

 
  References Top

1.
Zadnik K, Mutti DO, Mitchell GL, Jones LA, Burr D, Moeschberger ML. Normal eye growth in emmetropic schoolchildren. Optom Vis Sci 2004;81:819-28.  Back to cited text no. 1
    
2.
Hyman L, Gwiazda J, Hussein M, Norton TT, Wang Y, Marsh-Tootle W, et al. Relationship of age, sex, and ethnicity with myopia progression and axial elongation in the correction of myopia evaluation trial. Arch Ophthalmol 2005;123:977-87.  Back to cited text no. 2
    
3.
Saw SM, Hong RZ, Zhang MZ, Fu ZF, Ye M, Tan D, et al. Near-work activity and myopia in rural and urban schoolchildren in China. J Pediatr Ophthalmol Strabismus 2001;38:149-55.  Back to cited text no. 3
    
4.
Saw SM, Chua WH, Hong CY, Wu NM, Chia KS, Stone RA, et al. Nearwork in early-onset myopia. Invest Ophthalmol Vis Sci 2002;43:332-9.  Back to cited text no. 4
    
5.
Ip J, Saw SM, Rose KA, Morgan IG, Kifley A, Wang JJ, et al. Role of near work in myopia: Findings in a sample of Australian school children. Invest Ophthalmol Vis Sci 2008;49:2903-10.  Back to cited text no. 5
    
6.
Teikari JM, O'Donnell J, Kaprio J, Koskenvuo M. Impact of heredity in myopia. Hum Hered 1991;41:151-6.  Back to cited text no. 6
    
7.
Fotouhi A, Etemadi A, Hashemi H, Zeraati H, Bailey-Wilson JE, Mohammad K. Familial aggregation of myopia in the Tehran eye study: Estimation of the sibling and parent offspring recurrence risk ratios. Br J Ophthalmol 2007;91:1440-4.  Back to cited text no. 7
    
8.
Jones LA, Sinnott LT, Mutti DO, Mitchell GL, Moeschberger ML, Zadnik K. Parental history of myopia, sports and outdoor activities, and future myopia. Invest Ophthalmol Vis Sci 2007;48:3524-32.  Back to cited text no. 8
    
9.
Dirani M, Tong L, Gazzard G, Zhang X, Chia A, Young TL, et al. Outdoor activity and myopia in Singapore teenage children. Br J Ophthalmol 2009;93:997-1000.  Back to cited text no. 9
    
10.
Rose KA, Morgan I, Ip J, Kifley A, Huynh S, Smith W, et al. Outdoor activity reduces the prevalence of myopia in children. Ophthalmology 2008;115:1279-85.  Back to cited text no. 10
    
11.
Mallen EA, Gammoh Y, Al-Bdour M, Sayegh FN. Refractive error and ocular biometry in Jordanian adults. Ophthalmic Physiol Opt 2005;25:302-9.  Back to cited text no. 11
    
12.
Grosvenor T, Scott R. Role of the axial length/corneal radius ratio in determining the refractive state of the eye. Optom Vis Sci 1994;71:573-9.  Back to cited text no. 12
    
13.
Saw SM, Chua WH, Hong CY, Wu HM, Chia KS, Stone RA, et al. Height and its relationship to refraction and biometry parameters in Singapore Chinese children. Invest Ophthalmol Vis Sci 2002;43:1408-13.  Back to cited text no. 13
    
14.
Wang D, Ding X, Liu B, Zhang J, He M. Longitudinal changes of axial length and height are associated and concomitant in children. Invest Ophthalmol Vis Sci 2011;52:7949-53.  Back to cited text no. 14
    
15.
Ojaimi E, Morgan I, Robaei D, Rose KA, Smith W, Rochtchina E, et al. Effect of stature and other anthropometric parameters on eye size and refraction in a population-based study of Australian children. Invest Ophthalmol Vis Sci 2005;46:4424-9.  Back to cited text no. 15
    
16.
Wong TY, Foster PJ, Johnson GJ, Klein BE, Seah SK. The relationship between ocular dimensions and refraction with adult stature: The Tanjong Pagar Survey. Invest Ophthalmol Vis Sci 2001;42:1237-42.  Back to cited text no. 16
    
17.
Zhang J, Hur Y, Huang W, Ding X, Feng K, He M. Shared genetic determinants of axial length and height in children. Arch Ophthalmol 2011;129:63-8.  Back to cited text no. 17
    
18.
Blanco FG, Sanz Fernandez JC, Munoz Sanz MA. Axial length, corneal radius, and age of myopia onset. Optom Vis Sci 2008;85:89-96.  Back to cited text no. 18
    
19.
Zannik K, Mutti DO, Fusaro RE, Adams AJ. Longitudinal evidence of crystalline lens thinning in children. Invest Ophthalmol Vis Sci 1995;36:1581-7.  Back to cited text no. 19
    
20.
Shih YF, Chiang TH, Lin LL. Lens thickness changes among schoolchildren in Taiwan. Invest Ophthalmol Vis Sci 2009;50:2637-44.  Back to cited text no. 20
    
21.
Jones LA, Morgan IG, Mutti DO, Hayes JR, Moeschberger ML, Zadnik K. Comparison of ocular component growth curves among refractive error groups in children. Invest Ophthalmol Vis Sci 2005;46:2317-27.  Back to cited text no. 21
    
22.
Ip JM, Huynh SC, Kifle A, Rose KA, Morgan IG, Varma R, et al. Variation of the contribution from axial length and other oculometric parameters to refraction by age and ethnicity. Invest Ophthalmol Vis Sci 2007;48:4846-53.  Back to cited text no. 22
    
23.
Yip CH, Pan CW, Lin XY, Lee YS, Gazzard G, Wong TY, et al. The relationship between growth spurts and myopia in singapore children. Invest Ophthalmol Vis Sci 2012;53:7961-6.  Back to cited text no. 23
    
24.
Northstone K, Guggenheim JA, Howe LD, Tilling K, Paternoster L, Kemp JP, et al. Body stature growth trajectories during childhood and the development of myopia. Ophthalmology 2013;120:1064-73.  Back to cited text no. 24
    
25.
Saw SM, Chan YH, Wong WL, Shankar A, Sandar M, Aung T, et al. Prevalence and risk factors for refractive errors in the Singapore Malay Eye Survey. Ophthalmology 2008;115:1713-9.  Back to cited text no. 25
    
26.
Wong TY, Foster PJ, Hee J, Ng TP, Tielsch JM, Chew SJ, et al. Prevalence and risk factors for refractive errors in adult Chinese in Singapore. Invest Ophthalmol Vis Sci 2000;41:2486-94.  Back to cited text no. 26
    
27.
Wu PC, Tsai CL, Hu CH, Yang YH. Effects of outdoor activities on myopia among rural school children in Taiwan. Ophthalmic Epidemiol 2010;17:338-42.  Back to cited text no. 27
    
28.
Rose KA, Morgan IG, Smith W, Burlutsky G, Mitchell P, Saw SM. Myopia, lifestyle, and schooling in students of Chinese ethnicity in Singapore and Sydney. Arch Ophthalmol 2008;126:527-30.  Back to cited text no. 28
    
29.
Lu B, Congdon N, Liu X, Choi K, Lam SC, Zhang M, et al. Associations between near work, outdoor activity, and myopia among adolescent students in rural China. Arch Ophthalmol 2009;127:769-75.  Back to cited text no. 29
    


    Figures

  [Figure 1]
 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4]



 

Top
 
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
Abstract
Materials and Me...
Results
Discussion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed2295    
    Printed26    
    Emailed0    
    PDF Downloaded332    
    Comments [Add]    

Recommend this journal