A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China
PurposeTo understand the latent classes and distribution of an adolescent eye care behavior, and to provide a basis for the formulation of appropriate adolescent vision health management interventions.MethodsInformation on eye behavior and eye health of primary and secondary school students in Wuhan...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.914592/full |
| _version_ | 1811243487828377600 |
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| author | Mengying Li Wenjing Wang Boya Zhu Xiaodong Tan |
| author_facet | Mengying Li Wenjing Wang Boya Zhu Xiaodong Tan |
| author_sort | Mengying Li |
| collection | DOAJ |
| description | PurposeTo understand the latent classes and distribution of an adolescent eye care behavior, and to provide a basis for the formulation of appropriate adolescent vision health management interventions.MethodsInformation on eye behavior and eye health of primary and secondary school students in Wuhan was collected by multistage stratified cluster sampling. The latent class analysis (LCA) method was used to analyze the students' eye care behavior, and the latent class model (LCM) was built.ResultsA total of 6,130 students were enrolled in this study, of which 53.56% were males, aged from 6 to 17 years old, with an average age of 10.33 ± 2.60. The latent class results classified the adolescents' eye care behaviors into bad behaviors, moderate behaviors, and healthy behaviors. The model fitting results were as follows: Akaike Information Criterion (AIC) was 36,698.216, Bayesian Information Criterion (BIC) was 36,906.565, Adjusted Bayesian Information Criterion (aBIC) was 36,808.056, and entropy was 0.838.Compared with the healthy behaviors class, the bad behaviors class was more prevalent in high schools (p = 0.003), non-demonstration schools (p = 0.001), and most of this group had astigmatism (p = 0.002). The moderate behaviors class predominately consisted of females (p = 0.001), 15–17 years old (p = 0.005, 6~8 years old as the reference), from non-demonstration schools (p < 0.001), and most had myopia (p = 0.009).ConclusionThere were differences in basic demographic characteristics, visual acuity development level, and family visual environment among different classes. In the management and intervention of an adolescent vision health, we should continue to promote the visual health management of adolescents based on visual monitoring and realize the early intervention and guidance of individuals in bad behaviors class. |
| first_indexed | 2024-04-12T14:08:13Z |
| format | Article |
| id | doaj.art-f1d51f0245664b79bc3c46598412b9e8 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-12T14:08:13Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-f1d51f0245664b79bc3c46598412b9e82022-12-22T03:30:01ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-06-011010.3389/fpubh.2022.914592914592A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in ChinaMengying LiWenjing WangBoya ZhuXiaodong TanPurposeTo understand the latent classes and distribution of an adolescent eye care behavior, and to provide a basis for the formulation of appropriate adolescent vision health management interventions.MethodsInformation on eye behavior and eye health of primary and secondary school students in Wuhan was collected by multistage stratified cluster sampling. The latent class analysis (LCA) method was used to analyze the students' eye care behavior, and the latent class model (LCM) was built.ResultsA total of 6,130 students were enrolled in this study, of which 53.56% were males, aged from 6 to 17 years old, with an average age of 10.33 ± 2.60. The latent class results classified the adolescents' eye care behaviors into bad behaviors, moderate behaviors, and healthy behaviors. The model fitting results were as follows: Akaike Information Criterion (AIC) was 36,698.216, Bayesian Information Criterion (BIC) was 36,906.565, Adjusted Bayesian Information Criterion (aBIC) was 36,808.056, and entropy was 0.838.Compared with the healthy behaviors class, the bad behaviors class was more prevalent in high schools (p = 0.003), non-demonstration schools (p = 0.001), and most of this group had astigmatism (p = 0.002). The moderate behaviors class predominately consisted of females (p = 0.001), 15–17 years old (p = 0.005, 6~8 years old as the reference), from non-demonstration schools (p < 0.001), and most had myopia (p = 0.009).ConclusionThere were differences in basic demographic characteristics, visual acuity development level, and family visual environment among different classes. In the management and intervention of an adolescent vision health, we should continue to promote the visual health management of adolescents based on visual monitoring and realize the early intervention and guidance of individuals in bad behaviors class.https://www.frontiersin.org/articles/10.3389/fpubh.2022.914592/fulladolescentlatent class analysisvisual health managementmyopiaeye care |
| spellingShingle | Mengying Li Wenjing Wang Boya Zhu Xiaodong Tan A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China Frontiers in Public Health adolescent latent class analysis visual health management myopia eye care |
| title | A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China |
| title_full | A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China |
| title_fullStr | A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China |
| title_full_unstemmed | A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China |
| title_short | A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China |
| title_sort | latent class analysis of student eye care behavior evidence from a sample of 6 17 years old in china |
| topic | adolescent latent class analysis visual health management myopia eye care |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.914592/full |
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