Literature DB >> 23452023

Patterns of myopigenic activities with age, gender and ethnicity in Sydney schoolchildren.

Amanda N French1, Ian G Morgan, Paul Mitchell, Kathryn A Rose.   

Abstract

PURPOSE: To examine the patterns of myopigenic activity (high near work, low time outdoors) in children growing up in Sydney, Australia, by age, ethnicity and gender.
METHODS: The Sydney Adolescent Vascular and Eye Study (SAVES) re-examined children from the two age cohorts (6 and 12 years at baseline) from the Sydney Myopia Study (SMS). At 5-6 year follow-up, 863 in the younger cohort and 1196 in the older cohort had complete refraction data. Cycloplegic autorefraction (cyclopentolate 1%; Canon RK-F1) was measured at baseline and follow-up. Children who became myopic (≤-0.50 dioptres spherical equivalent refraction) were those classified as non-myopic at baseline and myopic at follow-up. A detailed questionnaire was administered to measure weekly activities, including time spent outdoors and near work at both baseline and follow-up examination.
RESULTS: Overall, 128 (14.8%) children in the younger cohort and 210 (17.6%) in the older cohort became myopic. At follow-up, for both cohorts, children had significantly reduced the amount of time spent outdoors (younger cohort, p = 0.001, older cohort, p < 0.0001) and increased near work time (younger cohort, p < 0.0001, older cohort, p = 0.006). Children of East Asian ethnicity spent significantly less time outdoors by more than 7 h per week (both cohorts at baseline and follow-up, all p < 0.0001) and more time in near work activities by close to 3 h compared to European Caucasian children at all ages examined (both cohorts at baseline and follow-up all, p < 0.03). The average pattern of activity for girls differed from that of boys in a similar way (both cohorts at baseline and follow-up all, p < 0.0001). The two independent samples of 12 year-old children provided by follow-up in the younger cohort and baseline in the older cohort gave very similar answers to the questionnaire, with significant differences only evident for computer use (p = 0.001) and books read (p < 0.0001).
CONCLUSIONS: Answers to the activity questionnaire were very similar in the two cohorts of 12 year-olds, suggesting that the questionnaire gives reproducible answers. However, further work is required for validation. Children's pattern of activities become more myopigenic with age, and differed by gender and by ethnicity at all ages, with girls having a more myopigenic activity pattern than boys, and children of East Asian ancestry having a more myopigenic activity pattern than European Caucasian children. Ophthalmic & Physiological Optics
© 2013 The College of Optometrists.

Entities:  

Mesh:

Year:  2013        PMID: 23452023     DOI: 10.1111/opo.12045

Source DB:  PubMed          Journal:  Ophthalmic Physiol Opt        ISSN: 0275-5408            Impact factor:   3.117


  16 in total

Review 1.  Light levels, refractive development, and myopia--a speculative review.

Authors:  Thomas T Norton; John T Siegwart
Journal:  Exp Eye Res       Date:  2013-05-13       Impact factor: 3.467

2.  Visual activity and its association with myopia stabilisation.

Authors:  Mitchell Scheiman; Qinghua Zhang; Jane Gwiazda; Leslie Hyman; Elise Harb; Erik Weissberg; Katherine K Weise; Lynette Dias
Journal:  Ophthalmic Physiol Opt       Date:  2013-12-18       Impact factor: 3.117

Review 3.  Physical activity, time spent outdoors, and near work in relation to myopia prevalence, incidence, and progression: An overview of systematic reviews and meta-analyses.

Authors:  Siddharth K Karthikeyan; D L Ashwini; M Priyanka; Anush Nayak; Sayantan Biswas
Journal:  Indian J Ophthalmol       Date:  2022-03       Impact factor: 2.969

4.  The association between macular thickness and peripapillary retinal nerve fiber layer thickness in Chinese children.

Authors:  Jacky W Y Lee; Gordon S K Yau; Tiffany T Y Woo; Jimmy S M Lai
Journal:  Medicine (Baltimore)       Date:  2015-02       Impact factor: 1.889

5.  Central Macular Thickness in Children with Myopia, Emmetropia, and Hyperopia: An Optical Coherence Tomography Study.

Authors:  Gordon S K Yau; Jacky W Y Lee; Tiffany T Y Woo; Raymond L M Wong; Ian Y H Wong
Journal:  Biomed Res Int       Date:  2015-06-08       Impact factor: 3.411

6.  Six Year Refractive Change among White Children and Young Adults: Evidence for Significant Increase in Myopia among White UK Children.

Authors:  Sara J McCullough; Lisa O'Donoghue; Kathryn J Saunders
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

7.  Identifying Children at Risk of High Myopia Using Population Centile Curves of Refraction.

Authors:  Yanxian Chen; Jian Zhang; Ian G Morgan; Mingguang He
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

Review 8.  Time spent in outdoor activities in relation to myopia prevention and control: a meta-analysis and systematic review.

Authors:  Shuyu Xiong; Padmaja Sankaridurg; Thomas Naduvilath; Jiajie Zang; Haidong Zou; Jianfeng Zhu; Minzhi Lv; Xiangui He; Xun Xu
Journal:  Acta Ophthalmol       Date:  2017-03-02       Impact factor: 3.761

9.  Relation between near work and myopia progression in student population.

Authors:  Lejla Muhamedagic; Belma Muhamedagic; Emina Alimanovic Halilovic; Jasmina Alajbegovic Halimic; Aleksa Stankovic; Bedrana Muracevic
Journal:  Mater Sociomed       Date:  2014-04-11

10.  The effect of an eye health promotion program on the health protective behaviors of primary school students.

Authors:  Nukhet Kirag; Ayla Bayik Temel
Journal:  J Educ Health Promot       Date:  2018-03-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.