Risk factors for childhood myopia: findings from the NICER study

Lisa O’Donoghue, Venediktos V. Kapetanankis, Julie F. McClelland, Nicola S. Logan, Christopher G. Owen, Kathryn J. Saunders, Alicja R. Rudnicka

Research output: Contribution to journalArticle

Abstract

PURPOSE. We explored risk factors for myopia in 12- to 13-year-old children in Northern Ireland (NI).

METHODS. Stratified random sampling was performed to obtain representation of schools and children. Cycloplegia was achieved using cyclopentolate hydrochloride 1%. Distance autorefraction was measured using the Shin-Nippon SRW-5000 device. Height and weight were measured. Parents and children completed a questionnaire, including questions on parental history of myopia, sociodemographic factors, childhood levels of near vision, and physical activity to identify potential risk factors for myopia. Myopia was defined as spherical equivalent ≤0.50 diopters (D) in either eye.

RESULTS. Data from 661 white children aged 12-to 13-years showed that regular physical activity was associated with a lower estimated prevalence of myopia compared to sedentary lifestyles (odds ratio [OR] = 0.46 adjusted for age, sex, deprivation score, family size, school type, urbanicity; 95% confidence interval [CI], 0.23–0.90; P for trend = 0.027). The odds of myopia were more than 2.5 times higher among children attending academically-selective schools (adjusted OR = 2.66; 95% CI, 1.48–4.78) compared to nonacademically-selective schools. There was no evidence of an effect of urban versus nonurban environment on the odds of myopia. Compared to children with no myopic parents, children with one or both parents being myopic were 2.91 times (95% CI, 1.54–5.52) and 7.79 times (95% CI, 2.93– 20.67) more likely to have myopia, respectively.

CONCLUSIONS. In NI children, parental history of myopia and type of schooling are important determinants of myopia. The association between myopia and an environmental factor, such as physical activity levels, may provide insight into preventive strategies.

LanguageEnglish
Pages1524-1530
Number of pages7
JournalInvestigative Ophthalmology and Visual Science
Volume56
Issue number3
DOIs
Publication statusPublished - 2015

Fingerprint

Myopia
Confidence Intervals
Northern Ireland
Parents
Exercise
Cyclopentolate
Odds Ratio
Sedentary Lifestyle
Weights and Measures
Equipment and Supplies

Keywords

  • childhood
  • epidemiology
  • myopia

Cite this

O’Donoghue, L., Kapetanankis, V. V., McClelland, J. F., Logan, N. S., Owen, C. G., Saunders, K. J., & Rudnicka, A. R. (2015). Risk factors for childhood myopia: findings from the NICER study. Investigative Ophthalmology and Visual Science, 56(3), 1524-1530. https://doi.org/10.1167/iovs.14-15549
O’Donoghue, Lisa ; Kapetanankis, Venediktos V. ; McClelland, Julie F. ; Logan, Nicola S. ; Owen, Christopher G. ; Saunders, Kathryn J. ; Rudnicka, Alicja R. / Risk factors for childhood myopia : findings from the NICER study. In: Investigative Ophthalmology and Visual Science. 2015 ; Vol. 56, No. 3. pp. 1524-1530.
@article{2359a8f602934d10856d78dfb4814976,
title = "Risk factors for childhood myopia: findings from the NICER study",
abstract = "PURPOSE. We explored risk factors for myopia in 12- to 13-year-old children in Northern Ireland (NI). METHODS. Stratified random sampling was performed to obtain representation of schools and children. Cycloplegia was achieved using cyclopentolate hydrochloride 1{\%}. Distance autorefraction was measured using the Shin-Nippon SRW-5000 device. Height and weight were measured. Parents and children completed a questionnaire, including questions on parental history of myopia, sociodemographic factors, childhood levels of near vision, and physical activity to identify potential risk factors for myopia. Myopia was defined as spherical equivalent ≤0.50 diopters (D) in either eye. RESULTS. Data from 661 white children aged 12-to 13-years showed that regular physical activity was associated with a lower estimated prevalence of myopia compared to sedentary lifestyles (odds ratio [OR] = 0.46 adjusted for age, sex, deprivation score, family size, school type, urbanicity; 95{\%} confidence interval [CI], 0.23–0.90; P for trend = 0.027). The odds of myopia were more than 2.5 times higher among children attending academically-selective schools (adjusted OR = 2.66; 95{\%} CI, 1.48–4.78) compared to nonacademically-selective schools. There was no evidence of an effect of urban versus nonurban environment on the odds of myopia. Compared to children with no myopic parents, children with one or both parents being myopic were 2.91 times (95{\%} CI, 1.54–5.52) and 7.79 times (95{\%} CI, 2.93– 20.67) more likely to have myopia, respectively. CONCLUSIONS. In NI children, parental history of myopia and type of schooling are important determinants of myopia. The association between myopia and an environmental factor, such as physical activity levels, may provide insight into preventive strategies.",
keywords = "childhood, epidemiology, myopia",
author = "Lisa O’Donoghue and Kapetanankis, {Venediktos V.} and McClelland, {Julie F.} and Logan, {Nicola S.} and Owen, {Christopher G.} and Saunders, {Kathryn J.} and Rudnicka, {Alicja R.}",
year = "2015",
doi = "10.1167/iovs.14-15549",
language = "English",
volume = "56",
pages = "1524--1530",
journal = "Investigative Ophthalmology and Visual Science",
issn = "1552-5783",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "3",

}

O’Donoghue, L, Kapetanankis, VV, McClelland, JF, Logan, NS, Owen, CG, Saunders, KJ & Rudnicka, AR 2015, 'Risk factors for childhood myopia: findings from the NICER study' Investigative Ophthalmology and Visual Science, vol. 56, no. 3, pp. 1524-1530. https://doi.org/10.1167/iovs.14-15549

Risk factors for childhood myopia : findings from the NICER study. / O’Donoghue, Lisa; Kapetanankis, Venediktos V.; McClelland, Julie F.; Logan, Nicola S.; Owen, Christopher G.; Saunders, Kathryn J.; Rudnicka, Alicja R.

In: Investigative Ophthalmology and Visual Science, Vol. 56, No. 3, 2015, p. 1524-1530.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Risk factors for childhood myopia

T2 - Investigative Ophthalmology and Visual Science

AU - O’Donoghue, Lisa

AU - Kapetanankis, Venediktos V.

AU - McClelland, Julie F.

AU - Logan, Nicola S.

AU - Owen, Christopher G.

AU - Saunders, Kathryn J.

AU - Rudnicka, Alicja R.

PY - 2015

Y1 - 2015

N2 - PURPOSE. We explored risk factors for myopia in 12- to 13-year-old children in Northern Ireland (NI). METHODS. Stratified random sampling was performed to obtain representation of schools and children. Cycloplegia was achieved using cyclopentolate hydrochloride 1%. Distance autorefraction was measured using the Shin-Nippon SRW-5000 device. Height and weight were measured. Parents and children completed a questionnaire, including questions on parental history of myopia, sociodemographic factors, childhood levels of near vision, and physical activity to identify potential risk factors for myopia. Myopia was defined as spherical equivalent ≤0.50 diopters (D) in either eye. RESULTS. Data from 661 white children aged 12-to 13-years showed that regular physical activity was associated with a lower estimated prevalence of myopia compared to sedentary lifestyles (odds ratio [OR] = 0.46 adjusted for age, sex, deprivation score, family size, school type, urbanicity; 95% confidence interval [CI], 0.23–0.90; P for trend = 0.027). The odds of myopia were more than 2.5 times higher among children attending academically-selective schools (adjusted OR = 2.66; 95% CI, 1.48–4.78) compared to nonacademically-selective schools. There was no evidence of an effect of urban versus nonurban environment on the odds of myopia. Compared to children with no myopic parents, children with one or both parents being myopic were 2.91 times (95% CI, 1.54–5.52) and 7.79 times (95% CI, 2.93– 20.67) more likely to have myopia, respectively. CONCLUSIONS. In NI children, parental history of myopia and type of schooling are important determinants of myopia. The association between myopia and an environmental factor, such as physical activity levels, may provide insight into preventive strategies.

AB - PURPOSE. We explored risk factors for myopia in 12- to 13-year-old children in Northern Ireland (NI). METHODS. Stratified random sampling was performed to obtain representation of schools and children. Cycloplegia was achieved using cyclopentolate hydrochloride 1%. Distance autorefraction was measured using the Shin-Nippon SRW-5000 device. Height and weight were measured. Parents and children completed a questionnaire, including questions on parental history of myopia, sociodemographic factors, childhood levels of near vision, and physical activity to identify potential risk factors for myopia. Myopia was defined as spherical equivalent ≤0.50 diopters (D) in either eye. RESULTS. Data from 661 white children aged 12-to 13-years showed that regular physical activity was associated with a lower estimated prevalence of myopia compared to sedentary lifestyles (odds ratio [OR] = 0.46 adjusted for age, sex, deprivation score, family size, school type, urbanicity; 95% confidence interval [CI], 0.23–0.90; P for trend = 0.027). The odds of myopia were more than 2.5 times higher among children attending academically-selective schools (adjusted OR = 2.66; 95% CI, 1.48–4.78) compared to nonacademically-selective schools. There was no evidence of an effect of urban versus nonurban environment on the odds of myopia. Compared to children with no myopic parents, children with one or both parents being myopic were 2.91 times (95% CI, 1.54–5.52) and 7.79 times (95% CI, 2.93– 20.67) more likely to have myopia, respectively. CONCLUSIONS. In NI children, parental history of myopia and type of schooling are important determinants of myopia. The association between myopia and an environmental factor, such as physical activity levels, may provide insight into preventive strategies.

KW - childhood

KW - epidemiology

KW - myopia

UR - http://www.scopus.com/inward/record.url?scp=84924261421&partnerID=8YFLogxK

U2 - 10.1167/iovs.14-15549

DO - 10.1167/iovs.14-15549

M3 - Article

VL - 56

SP - 1524

EP - 1530

JO - Investigative Ophthalmology and Visual Science

JF - Investigative Ophthalmology and Visual Science

SN - 1552-5783

IS - 3

ER -