{"title":"Self-Reported Visual Disability and Unemployment: Findings from the National Health Interview Survey.","authors":"Kunal Kanwar, Curtis E Margo, Dustin D French","doi":"10.1080/09286586.2024.2310841","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the association between visual impairment and employment status due to disability, utilizing data from the 2022 National Health Interview Survey (NHIS).</p><p><strong>Methods: </strong>Adults 18 years of age and older were extracted from the 2022 NHIS dataset. A multivariable logistic regression model was created to evaluate the odds of unemployment (\"laid off\" and \"looking for work\"). Persons over the age of 65, as well as persons retired, going to school, self-employed, seasonal, or contract workers were excluded. Independent variables for the model included gender, race, Hispanic ethnicity, urban residency, level of education, citizenship, and self-reported vision. The latter variable was categorized as seeing with \"some\" difficulty, with \"severe\" difficulty, \"can't see at all,\" and \"a lot of difficulty.\" Outcomes were reported as odds ratios (OR) with 95% confidence intervals (CI).</p><p><strong>Results: </strong>Associations with unemployment included education less than high school (OR 6.05, 95% CI: 3.98-9.18) and high school (OR 3.80, 95% CI 2.78-5.21); severe vision difficulty (OR 3.68 95% CI 1.73-7.86); Asian race (OR 2.53, 95% CI 1.64-3.89); and Black race (OR 1.78, 95% CI 1.31-2.41). The odds of unemployment were marginally elevated for those living in large metropolitan areas, while being born in the United States had a modest protective effect (OR 0.53, 95% CI 0.42-0.66).</p><p><strong>Conclusion: </strong>The degree of visual impairment in this post-COVID-19 pandemic survey substantially affects employment, which is consistent with historical studies. Education among those with impaired vision is an important and modifiable variable that can positively influence the chances of employment.</p>","PeriodicalId":19607,"journal":{"name":"Ophthalmic epidemiology","volume":" ","pages":"488-490"},"PeriodicalIF":1.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11298568/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ophthalmic epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/09286586.2024.2310841","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: To investigate the association between visual impairment and employment status due to disability, utilizing data from the 2022 National Health Interview Survey (NHIS).
Methods: Adults 18 years of age and older were extracted from the 2022 NHIS dataset. A multivariable logistic regression model was created to evaluate the odds of unemployment ("laid off" and "looking for work"). Persons over the age of 65, as well as persons retired, going to school, self-employed, seasonal, or contract workers were excluded. Independent variables for the model included gender, race, Hispanic ethnicity, urban residency, level of education, citizenship, and self-reported vision. The latter variable was categorized as seeing with "some" difficulty, with "severe" difficulty, "can't see at all," and "a lot of difficulty." Outcomes were reported as odds ratios (OR) with 95% confidence intervals (CI).
Results: Associations with unemployment included education less than high school (OR 6.05, 95% CI: 3.98-9.18) and high school (OR 3.80, 95% CI 2.78-5.21); severe vision difficulty (OR 3.68 95% CI 1.73-7.86); Asian race (OR 2.53, 95% CI 1.64-3.89); and Black race (OR 1.78, 95% CI 1.31-2.41). The odds of unemployment were marginally elevated for those living in large metropolitan areas, while being born in the United States had a modest protective effect (OR 0.53, 95% CI 0.42-0.66).
Conclusion: The degree of visual impairment in this post-COVID-19 pandemic survey substantially affects employment, which is consistent with historical studies. Education among those with impaired vision is an important and modifiable variable that can positively influence the chances of employment.
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.