Establishment and validation of a risk assessment model for myopia among Chinese primary school students during the COVID-19 pandemic : A lasso regression approach
© 2023 The Authors..
Purpose: To construct a risk assessment model for forecasting the likelihood of myopia in elementary school students.
Design: A cross-sectional study.
Methods: This study utilized convenient sampling and questionnaire survey to collect data from eligible elementary students and their parents during the coronavirus disease 2019 (COVID-19) pandemic period from March to December 2020. The data were divided into training and testing sets in a 7:3 ratio. Lasso regression was employed to screen variables for inclusion in the model to establish a generalized linear model, with a nomogram model as the final result.
Results: The study included 1139 elementary students, comprising 54.5 % male and 45.5 % female participants. A total of 37 variables were obtained, which were analyzed using lasso regression. Cross-validation revealed that the best lambda value was 0.04201788. Five variables affecting myopia were identified: three risk and two protective factors. The three risk factors were student age (OR = 1.32), family location (urban vs. rural, OR = 2.33), and parents' occupation (compared with farmer: worker, OR = 2.03; teacher, OR = 1.62; medical worker, OR = 5.64; self-employed, OR = 1.78; civil servant, OR = 1.65; company employee, OR = 1.45; service industries, OR = 3.38; and others, OR = 3.20). The two protective factors were eye distance score (OR = 0.83) and eye health exercise score (OR = 0.95). The model was verified and showed good accuracy with an AUC of 0.778 and Brier score of 0.122 in addition to satisfactory clinical effects.
Conclusions: The model effectively predicted the risk of myopia in elementary school students during the COVID-19 pandemic. Using this model, high-risk groups can be identified to provide a foundation for early intervention and follow-up, thereby reducing the incidence of myopia in this population.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
Heliyon - 9(2023), 10 vom: 24. Okt., Seite e20638 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Shijie [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Revised 26.10.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.heliyon.2023.e20638 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM363687130 |
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| 245 | 1 | 0 | |a Establishment and validation of a risk assessment model for myopia among Chinese primary school students during the COVID-19 pandemic |b A lasso regression approach |
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| 500 | |a Date Revised 26.10.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2023 The Authors. | ||
| 520 | |a Purpose: To construct a risk assessment model for forecasting the likelihood of myopia in elementary school students | ||
| 520 | |a Design: A cross-sectional study | ||
| 520 | |a Methods: This study utilized convenient sampling and questionnaire survey to collect data from eligible elementary students and their parents during the coronavirus disease 2019 (COVID-19) pandemic period from March to December 2020. The data were divided into training and testing sets in a 7:3 ratio. Lasso regression was employed to screen variables for inclusion in the model to establish a generalized linear model, with a nomogram model as the final result | ||
| 520 | |a Results: The study included 1139 elementary students, comprising 54.5 % male and 45.5 % female participants. A total of 37 variables were obtained, which were analyzed using lasso regression. Cross-validation revealed that the best lambda value was 0.04201788. Five variables affecting myopia were identified: three risk and two protective factors. The three risk factors were student age (OR = 1.32), family location (urban vs. rural, OR = 2.33), and parents' occupation (compared with farmer: worker, OR = 2.03; teacher, OR = 1.62; medical worker, OR = 5.64; self-employed, OR = 1.78; civil servant, OR = 1.65; company employee, OR = 1.45; service industries, OR = 3.38; and others, OR = 3.20). The two protective factors were eye distance score (OR = 0.83) and eye health exercise score (OR = 0.95). The model was verified and showed good accuracy with an AUC of 0.778 and Brier score of 0.122 in addition to satisfactory clinical effects | ||
| 520 | |a Conclusions: The model effectively predicted the risk of myopia in elementary school students during the COVID-19 pandemic. Using this model, high-risk groups can be identified to provide a foundation for early intervention and follow-up, thereby reducing the incidence of myopia in this population | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Lasso regression | |
| 650 | 4 | |a Myopia | |
| 650 | 4 | |a Nomogram | |
| 650 | 4 | |a Primary school | |
| 700 | 1 | |a Li, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a He, Liangyu |e verfasserin |4 aut | |
| 700 | 1 | |a Xiong, Shanshan |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Na |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Huifang |e verfasserin |4 aut | |
| 700 | 1 | |a Hou, Lili |e verfasserin |4 aut | |
| 700 | 1 | |a Zeng, Changjuan |e verfasserin |4 aut | |
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