当前位置: X-MOL 学术Am. J. Ophthalmol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Association Between Sociodemographic Factors and Self-reported Glaucoma in the National Health Interview Survey: A Population-Based Analysis
American Journal of Ophthalmology ( IF 4.2 ) Pub Date : 2024-02-20 , DOI: 10.1016/j.ajo.2024.02.013
Jim Xie , Nikhil S. Patil , Marko M. Popovic , Peter J. Kertes , Rajeev H. Muni , Matthew B. Schlenker , Iqbal Ike K. Ahmed , Radha P. Kohly

To investigate the association between social determinants of health (SDH) in the domains of social and community context, education access, environmental context, economic stability, and healthcare access, with glaucoma prevalence. Cross-sectional study. The study population consisted of adult participants who answered glaucoma-related questions on the 2017 National Health Interview Survey (NHIS), the most recent iteration that includes glaucoma-related questions. The main outcome measures included the relationships between SDH-related factors and self-reported glaucoma diagnosis as well as self-reported glaucomatous vision loss were examined using univariable and multivariable regression models. In total, 26,696 of 26,742 (99.83%) NHIS respondents were included, of whom 880 (3.30%) reported a glaucoma diagnosis and 275 (1.03%) reported glaucomatous vision loss. Participants were predominantly middle-aged (50.95 ± 18.60 years), female (54.75%), and non-Hispanic White (70.49%). In age-adjusted multivariable regression ( = 25,456), non-Hispanic Black race (odds ratio [OR] = 1.87, 99% CI = [1.37, 2.55], < .001, compared to non-Hispanic White race) and poor health status (OR = 1.54, 99% CI = [1.00, 2.37], = .01, compared to good health status) were significant predictors of glaucoma diagnosis. For glaucomatous vision loss, having an income below the poverty threshold (OR = 2.41, 99% CI = [1.12, 5.20], = .003, compared to income ≥5 times the poverty threshold) was the only significant predictor in univariable analyses. No SDH-related factors were significantly associated with glaucomatous vision loss in multivariable analysis ( = 848). Multicollinearity was minimal (variation inflation factor<1.6 for all independent variables). Non-Hispanic Black race and poor health status were associated with self-reported glaucoma diagnosis. Physicians and policymakers may consider SDH when assessing clinical risk and designing public health interventions.

中文翻译:

全国健康访谈调查中社会人口因素与自我报告的青光眼之间的关联:基于人群的分析

调查社会和社区背景、教育机会、环境背景、经济稳定性和医疗保健机会等领域的健康社会决定因素 (SDH) 与青光眼患病率之间的关联。横断面研究。研究人群由在 2017 年国家健康访谈调查 (NHIS) 中回答青光眼相关问题的成年参与者组成,该调查是最新的一次调查,其中包括与青光眼相关的问题。主要结果指标包括 SDH 相关因素与自我报告的青光眼诊断之间的关系,以及使用单变量和多变量回归模型检查自我报告的青光眼视力丧失。总共包括 26,742 名 NHIS 受访者中的 26,696 名 (99.83%),其中 880 名 (3.30%) 报告诊断为青光眼,275 名 (1.03%) 报告青光眼视力丧失。参与者主要是中年人(50.95 ± 18.60 岁)、女性(54.75%)和非西班牙裔白人(70.49%)。在年龄调整的多变量回归中 (= 25,456),非西班牙裔黑人种族(比值比 [OR] = 1.87,99% CI = [1.37, 2.55],< .001,与非西班牙裔白人种族相比)和健康状况不佳健康状况(OR = 1.54,99% CI = [1.00, 2.37], = .01,与良好的健康状况相比)是青光眼诊断的重要预测因素。对于青光眼性视力丧失,收入低于贫困线(OR = 2.41,99% CI = [1.12, 5.20], = .003,与收入≥5 倍贫困线相比)是单变量分析中唯一显着的预测因素。在多变量分析中,没有 SDH 相关因素与青光眼性视力丧失显着相关 (= 848)。多重共线性很小(所有自变量的变异膨胀因子<1.6)。非西班牙裔黑人种族和健康状况不佳与自我报告的青光眼诊断有关。医生和政策制定者在评估临床风险和设计公共卫生干预措施时可以考虑 SDH。
更新日期:2024-02-20
down
wechat
bug