Andrew Mihalache, Ryan S Huang, Nikhil S Patil, Marko M Popovic, Miguel Cruz-Pimentel, Ashwin Mallipatna, Peter J Kertes, Rajeev H Muni, Radha P Kohly
{"title":"预测儿童视力障碍的生理和心理挑战:一项具有全国代表性的调查分析。","authors":"Andrew Mihalache, Ryan S Huang, Nikhil S Patil, Marko M Popovic, Miguel Cruz-Pimentel, Ashwin Mallipatna, Peter J Kertes, Rajeev H Muni, Radha P Kohly","doi":"10.1080/09286586.2024.2354704","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To elicit associations between vision difficulties and physical or psychosocial challenges in children in the United States.</p><p><strong>Methods: </strong>Children aged 2-17 years old from the 2021 National Health Interview Survey with data pertaining to vision difficulty were included in our retrospective, population-based analysis. Our primary aim was investigating physical and psychosocial challenges as predictors of vision difficulty. Logistic regression models were performed on Stata version 17.0 (StataCorp LLC, College Station, Texas). Analyses were accompanied by an odds ratio (OR) and 95% confidence interval (CI).</p><p><strong>Results: </strong>A total of 7,373 children had data pertaining to their level of vision difficulty and were included in our sample. In our multivariable analysis, children with a good/fair (OR = 1.84, 95% CI = [1.31, 2.60], <i>p</i> < 0.01), or poor (OR = 5.08, 95% CI = [1.61, 16.04], <i>p</i> < 0.01) general health status had higher odds of vision difficulty relative to children with an excellent/very good health status. Furthermore, children with difficulties hearing (OR = 8.67, 95% CI = [5.25, 14.31], <i>p</i> < 0.01), communicating (OR = 1.96, 95% CI = [1.18, 3.25], <i>p</i> < 0.01), learning (OR = 1.93, 95% CI = [1.27, 2.93], <i>p</i> < 0.01), and making friends (OR = 1.94, 95% CI = [1.12, 3.36], <i>p</i> = 0.02) had higher odds of vision difficulty. Nonetheless, the following factors were only predictors of vision difficulty in our univariable analysis: requiring equipment for mobility (<i>p</i> < 0.01), experiencing anxiety (<i>p</i> < 0.01), and experiencing depression (<i>p</i> < 0.01).</p><p><strong>Conclusion: </strong>Several factors pertaining to physical and psychosocial challenges in children are associated with vision difficulty. Future research should further explore potential causal links between vision difficulty and physical or psychosocial factors to aid in coordinating public health efforts dedicated to vision health equity.</p>","PeriodicalId":19607,"journal":{"name":"Ophthalmic epidemiology","volume":" ","pages":"1-8"},"PeriodicalIF":1.7000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Physical and Psychosocial Challenges as Predictors of Vision Difficulty in Children: A Nationally Representative Survey Analysis.\",\"authors\":\"Andrew Mihalache, Ryan S Huang, Nikhil S Patil, Marko M Popovic, Miguel Cruz-Pimentel, Ashwin Mallipatna, Peter J Kertes, Rajeev H Muni, Radha P Kohly\",\"doi\":\"10.1080/09286586.2024.2354704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To elicit associations between vision difficulties and physical or psychosocial challenges in children in the United States.</p><p><strong>Methods: </strong>Children aged 2-17 years old from the 2021 National Health Interview Survey with data pertaining to vision difficulty were included in our retrospective, population-based analysis. Our primary aim was investigating physical and psychosocial challenges as predictors of vision difficulty. Logistic regression models were performed on Stata version 17.0 (StataCorp LLC, College Station, Texas). Analyses were accompanied by an odds ratio (OR) and 95% confidence interval (CI).</p><p><strong>Results: </strong>A total of 7,373 children had data pertaining to their level of vision difficulty and were included in our sample. In our multivariable analysis, children with a good/fair (OR = 1.84, 95% CI = [1.31, 2.60], <i>p</i> < 0.01), or poor (OR = 5.08, 95% CI = [1.61, 16.04], <i>p</i> < 0.01) general health status had higher odds of vision difficulty relative to children with an excellent/very good health status. Furthermore, children with difficulties hearing (OR = 8.67, 95% CI = [5.25, 14.31], <i>p</i> < 0.01), communicating (OR = 1.96, 95% CI = [1.18, 3.25], <i>p</i> < 0.01), learning (OR = 1.93, 95% CI = [1.27, 2.93], <i>p</i> < 0.01), and making friends (OR = 1.94, 95% CI = [1.12, 3.36], <i>p</i> = 0.02) had higher odds of vision difficulty. Nonetheless, the following factors were only predictors of vision difficulty in our univariable analysis: requiring equipment for mobility (<i>p</i> < 0.01), experiencing anxiety (<i>p</i> < 0.01), and experiencing depression (<i>p</i> < 0.01).</p><p><strong>Conclusion: </strong>Several factors pertaining to physical and psychosocial challenges in children are associated with vision difficulty. 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引用次数: 0
摘要
目的:了解美国儿童视力障碍与身体或心理挑战之间的关联:我们的回顾性人群分析纳入了 2021 年全国健康访谈调查中与视力困难有关的 2-17 岁儿童数据。我们的主要目的是调查作为视力障碍预测因素的生理和心理挑战。逻辑回归模型在 Stata 17.0 版(StataCorp LLC,德克萨斯州大学站)上进行。分析结果附有几率比(OR)和 95% 的置信区间(CI):共有 7373 名儿童提供了有关视力困难程度的数据,并被纳入我们的样本中。在我们的多变量分析中,视力良好/一般(OR = 1.84,95% CI = [1.31,2.60],p p p p p = 0.02)的儿童出现视力困难的几率更高。尽管如此,在我们的单变量分析中,以下因素仅是视力困难的预测因素:需要借助设备才能行动(P P P P 结论):与儿童的生理和心理挑战有关的几个因素与视力障碍有关。未来的研究应进一步探讨视力困难与身体或社会心理因素之间的潜在因果关系,以帮助协调致力于视力健康公平的公共卫生工作。
Physical and Psychosocial Challenges as Predictors of Vision Difficulty in Children: A Nationally Representative Survey Analysis.
Purpose: To elicit associations between vision difficulties and physical or psychosocial challenges in children in the United States.
Methods: Children aged 2-17 years old from the 2021 National Health Interview Survey with data pertaining to vision difficulty were included in our retrospective, population-based analysis. Our primary aim was investigating physical and psychosocial challenges as predictors of vision difficulty. Logistic regression models were performed on Stata version 17.0 (StataCorp LLC, College Station, Texas). Analyses were accompanied by an odds ratio (OR) and 95% confidence interval (CI).
Results: A total of 7,373 children had data pertaining to their level of vision difficulty and were included in our sample. In our multivariable analysis, children with a good/fair (OR = 1.84, 95% CI = [1.31, 2.60], p < 0.01), or poor (OR = 5.08, 95% CI = [1.61, 16.04], p < 0.01) general health status had higher odds of vision difficulty relative to children with an excellent/very good health status. Furthermore, children with difficulties hearing (OR = 8.67, 95% CI = [5.25, 14.31], p < 0.01), communicating (OR = 1.96, 95% CI = [1.18, 3.25], p < 0.01), learning (OR = 1.93, 95% CI = [1.27, 2.93], p < 0.01), and making friends (OR = 1.94, 95% CI = [1.12, 3.36], p = 0.02) had higher odds of vision difficulty. Nonetheless, the following factors were only predictors of vision difficulty in our univariable analysis: requiring equipment for mobility (p < 0.01), experiencing anxiety (p < 0.01), and experiencing depression (p < 0.01).
Conclusion: Several factors pertaining to physical and psychosocial challenges in children are associated with vision difficulty. Future research should further explore potential causal links between vision difficulty and physical or psychosocial factors to aid in coordinating public health efforts dedicated to vision health equity.
期刊介绍:
Ophthalmic Epidemiology is dedicated to the publication of original research into eye and vision health in the fields of epidemiology, public health and the prevention of blindness. Ophthalmic Epidemiology publishes editorials, original research reports, systematic reviews and meta-analysis articles, brief communications and letters to the editor on all subjects related to ophthalmic epidemiology. A broad range of topics is suitable, such as: evaluating the risk of ocular diseases, general and specific study designs, screening program implementation and evaluation, eye health care access, delivery and outcomes, therapeutic efficacy or effectiveness, disease prognosis and quality of life, cost-benefit analysis, biostatistical theory and risk factor analysis. We are looking to expand our engagement with reports of international interest, including those regarding problems affecting developing countries, although reports from all over the world potentially are suitable. Clinical case reports, small case series (not enough for a cohort analysis) articles and animal research reports are not appropriate for this journal.