A Latent Class Analysis of Student Eye Care Behavior
Evidence From a Sample of 6–17 Years Old in China
Bibliographic Data
| ID | 22075648 |
|---|---|
| Authors | Mengying Li (0000-0002-3713-1683, Wuhan University), Wenjing Wang (0000-0003-4354-8730, Wuhan University), Boya Zhu (Wuhan University), Xiaodong Tan (0000-0002-8190-6060, Wuhan University, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 914592-914592 |
| Publication date | 2022-06-15 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.914592 |
| PMID | 35784217 |
| OpenAlex | W4282914763 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Purpose To 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. Methods Information 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. Results A 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). Conclusion There 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
Akaike information criterion · Bayesian information criterion · Cluster sampling · Environmental health · Latent class model · Psychological intervention · Statistics · Demography · Glaucoma and retinal disorders · Mathematics · Medicine · Nursing · Ophthalmology and Visual Impairment Studies · Psychology · Retinopathy of Prematurity Studies
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |