Development of a risk score for myopia: A cohort study conducted among school-aged children in China
Purpose: To evaluate the myopia risk in school-aged children one year after lifting a pandemic-related lockdown and develop a tool to identify high-risk groups. Methods: In total, 38,079 children without myopia from 38 schools were included. The outcomes were myopia incidence and progression in 1 ye...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2024-01-01
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| Series: | Indian Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://www.ijo.in/article.asp?issn=0301-4738;year=2024;volume=72;issue=14;spage=265;epage=272;aulast=Shi |
| _version_ | 1797246456394940416 |
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| author | Ziwei Shi Lihua Yang Ting Xu Jing Jia Song Yang Bo Yang Wei Yang Changchun Yang Yan Peng Hong Gu Caiping Liu Sheng Wei |
| author_facet | Ziwei Shi Lihua Yang Ting Xu Jing Jia Song Yang Bo Yang Wei Yang Changchun Yang Yan Peng Hong Gu Caiping Liu Sheng Wei |
| author_sort | Ziwei Shi |
| collection | DOAJ |
| description | Purpose: To evaluate the myopia risk in school-aged children one year after lifting a pandemic-related lockdown and develop a tool to identify high-risk groups. Methods: In total, 38,079 children without myopia from 38 schools were included. The outcomes were myopia incidence and progression in 1 year after the COVID-19 lockdown was lifted, both obtained by the spherical equivalent refraction (SER). We separated the population into an exploratory (75%) and a validation sample (25%) to construct the risk score model. Results: In total, 9811 (29.57%) students became myopic, and the overall myopia progression was 0.22 ± 0.62 D. Even less myopia progression was noted in the pre-myopia group at baseline (All: P = 0.045, Boy: P = 0.005). The risk score model included seven predictors: gender, grade, SER at baseline, residence, parental myopia, eye discomfort symptoms, and online courses. The model had a score range of 0–46 and an optimal cutoff of 34. The area under the receiver operating curve of the model was 0.726 (0.719–0.732) for the exploratory sample and 0.731 (0.720–0.742) for the validation sample. Conclusions: The risk score can serve as a practical tool for classifying the risk of myopia in school-aged children. |
| first_indexed | 2024-04-24T19:43:05Z |
| format | Article |
| id | doaj.art-6ef0e517e75542d190979ed0187a6113 |
| institution | Directory Open Access Journal |
| issn | 0301-4738 1998-3689 |
| language | English |
| last_indexed | 2024-04-24T19:43:05Z |
| publishDate | 2024-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Ophthalmology |
| spelling | doaj.art-6ef0e517e75542d190979ed0187a61132024-03-25T10:29:00ZengWolters Kluwer Medknow PublicationsIndian Journal of Ophthalmology0301-47381998-36892024-01-01721426527210.4103/IJO.IJO_2077_23Development of a risk score for myopia: A cohort study conducted among school-aged children in ChinaZiwei ShiLihua YangTing XuJing JiaSong YangBo YangWei YangChangchun YangYan PengHong GuCaiping LiuSheng WeiPurpose: To evaluate the myopia risk in school-aged children one year after lifting a pandemic-related lockdown and develop a tool to identify high-risk groups. Methods: In total, 38,079 children without myopia from 38 schools were included. The outcomes were myopia incidence and progression in 1 year after the COVID-19 lockdown was lifted, both obtained by the spherical equivalent refraction (SER). We separated the population into an exploratory (75%) and a validation sample (25%) to construct the risk score model. Results: In total, 9811 (29.57%) students became myopic, and the overall myopia progression was 0.22 ± 0.62 D. Even less myopia progression was noted in the pre-myopia group at baseline (All: P = 0.045, Boy: P = 0.005). The risk score model included seven predictors: gender, grade, SER at baseline, residence, parental myopia, eye discomfort symptoms, and online courses. The model had a score range of 0–46 and an optimal cutoff of 34. The area under the receiver operating curve of the model was 0.726 (0.719–0.732) for the exploratory sample and 0.731 (0.720–0.742) for the validation sample. Conclusions: The risk score can serve as a practical tool for classifying the risk of myopia in school-aged children.http://www.ijo.in/article.asp?issn=0301-4738;year=2024;volume=72;issue=14;spage=265;epage=272;aulast=Shimyopiarocrisk scoreschool-aged children |
| spellingShingle | Ziwei Shi Lihua Yang Ting Xu Jing Jia Song Yang Bo Yang Wei Yang Changchun Yang Yan Peng Hong Gu Caiping Liu Sheng Wei Development of a risk score for myopia: A cohort study conducted among school-aged children in China Indian Journal of Ophthalmology myopia roc risk score school-aged children |
| title | Development of a risk score for myopia: A cohort study conducted among school-aged children in China |
| title_full | Development of a risk score for myopia: A cohort study conducted among school-aged children in China |
| title_fullStr | Development of a risk score for myopia: A cohort study conducted among school-aged children in China |
| title_full_unstemmed | Development of a risk score for myopia: A cohort study conducted among school-aged children in China |
| title_short | Development of a risk score for myopia: A cohort study conducted among school-aged children in China |
| title_sort | development of a risk score for myopia a cohort study conducted among school aged children in china |
| topic | myopia roc risk score school-aged children |
| url | http://www.ijo.in/article.asp?issn=0301-4738;year=2024;volume=72;issue=14;spage=265;epage=272;aulast=Shi |
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