{"title":"阻塞性睡眠呼吸暂停与青光眼之间的关系","authors":"Yoonchae Zoh, Jae Moon Yun","doi":"10.4082/kjfm.23.0162","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Obstructive sleep apnea (OSA) and glaucoma are major global health challenges. However, the probable association between them is yet to be fully elucidated. This study aimed to investigate the association between OSA and glaucoma.</p><p><strong>Methods: </strong>Data for this cross-sectional study were obtained from the eighth Korea National Health and Nutrition Examination Survey (2019-2021). From among 9,495 individuals who completed the STOP-Bang questionnaire on OSA (for those aged ≥40 years) and provided their glaucoma prevalence/intraocular pressure (IOP) data, 8,741 were selected for glaucoma prevalence analysis. A total of 754 individuals aged 80 years or older or those with missing confounding variable data were excluded. A separate subgroup of 8,627 individuals was selected for IOP analysis after excluding 114 individuals who use glaucoma eye drops. The study employed linear and logistic regression analyses with Stata/MP ver. 17.0 (Stata Corp., USA) to understand the relationship between the risk of OSA assessed using the STOP-Bang score and key glaucoma indicators, adjusted for confounders. Statistical significance was set at a P-value <0.05.</p><p><strong>Results: </strong>The average±standard deviation [SD] age of the glaucoma prevalence study group was 56.59±10.48, and 42.98% were male. Notably, every unit increase in the STOP-Bang score was associated with a greater risk of glaucoma (odds ratio, 1.097; P=0.044). In the IOP subgroup, the average±SD age was 56.49±10.45 years, with 42.88% being males. The linear regression showed a statistically significant relationship between the STOP-Bang score and IOP after adjusting for confounding variables (β=0.171, P<0.001).</p><p><strong>Conclusion: </strong>Our findings revealed a significant positive association between OSA risk, as measured using the STOP-Bang score, and both the likelihood of glaucoma and high IOP.</p>","PeriodicalId":17893,"journal":{"name":"Korean Journal of Family Medicine","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between Obstructive Sleep Apnea and Glaucoma.\",\"authors\":\"Yoonchae Zoh, Jae Moon Yun\",\"doi\":\"10.4082/kjfm.23.0162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Obstructive sleep apnea (OSA) and glaucoma are major global health challenges. However, the probable association between them is yet to be fully elucidated. This study aimed to investigate the association between OSA and glaucoma.</p><p><strong>Methods: </strong>Data for this cross-sectional study were obtained from the eighth Korea National Health and Nutrition Examination Survey (2019-2021). From among 9,495 individuals who completed the STOP-Bang questionnaire on OSA (for those aged ≥40 years) and provided their glaucoma prevalence/intraocular pressure (IOP) data, 8,741 were selected for glaucoma prevalence analysis. A total of 754 individuals aged 80 years or older or those with missing confounding variable data were excluded. A separate subgroup of 8,627 individuals was selected for IOP analysis after excluding 114 individuals who use glaucoma eye drops. The study employed linear and logistic regression analyses with Stata/MP ver. 17.0 (Stata Corp., USA) to understand the relationship between the risk of OSA assessed using the STOP-Bang score and key glaucoma indicators, adjusted for confounders. Statistical significance was set at a P-value <0.05.</p><p><strong>Results: </strong>The average±standard deviation [SD] age of the glaucoma prevalence study group was 56.59±10.48, and 42.98% were male. Notably, every unit increase in the STOP-Bang score was associated with a greater risk of glaucoma (odds ratio, 1.097; P=0.044). In the IOP subgroup, the average±SD age was 56.49±10.45 years, with 42.88% being males. 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引用次数: 0
摘要
背景:阻塞性睡眠呼吸暂停(OSA)和青光眼是全球面临的主要健康挑战。然而,它们之间可能存在的关联尚未完全阐明。本研究旨在调查 OSA 与青光眼之间的关联:这项横断面研究的数据来自第八次韩国国民健康与营养调查(2019-2021年)。从9495名填写了STOP-Bang OSA问卷(年龄≥40岁)并提供了青光眼患病率/眼压(IOP)数据的人中,选取了8741人进行青光眼患病率分析。共有 754 名 80 岁或以上的老人或混杂变量数据缺失者被排除在外。在排除了 114 名使用青光眼眼药水的患者后,又选取了 8627 人组成的子群进行眼压分析。该研究采用了线性和逻辑回归分析方法,使用 Stata/MP ver.17.0版(Stata Corp., USA)进行线性和逻辑回归分析,以了解使用STOP-Bang评分评估的OSA风险与主要青光眼指标之间的关系,并对混杂因素进行调整。统计显著性以 P 值为标准:青光眼患病率研究组的平均年龄为(56.59±10.48)岁,标准差[SD]为(56.59±10.48)分,42.98%为男性。值得注意的是,STOP-Bang 评分每增加一个单位,患青光眼的风险就会增加(几率比 1.097;P=0.044)。在眼压亚组中,平均年龄(±SD)为 56.49±10.45 岁,男性占 42.88%。线性回归结果显示,在调整混杂变量后,STOP-Bang 评分与眼压之间存在显著的统计学关系(β=0.171,P=0.044):我们的研究结果表明,用 STOP-Bang 评分衡量的 OSA 风险与青光眼和高眼压的可能性之间存在明显的正相关。
Association between Obstructive Sleep Apnea and Glaucoma.
Background: Obstructive sleep apnea (OSA) and glaucoma are major global health challenges. However, the probable association between them is yet to be fully elucidated. This study aimed to investigate the association between OSA and glaucoma.
Methods: Data for this cross-sectional study were obtained from the eighth Korea National Health and Nutrition Examination Survey (2019-2021). From among 9,495 individuals who completed the STOP-Bang questionnaire on OSA (for those aged ≥40 years) and provided their glaucoma prevalence/intraocular pressure (IOP) data, 8,741 were selected for glaucoma prevalence analysis. A total of 754 individuals aged 80 years or older or those with missing confounding variable data were excluded. A separate subgroup of 8,627 individuals was selected for IOP analysis after excluding 114 individuals who use glaucoma eye drops. The study employed linear and logistic regression analyses with Stata/MP ver. 17.0 (Stata Corp., USA) to understand the relationship between the risk of OSA assessed using the STOP-Bang score and key glaucoma indicators, adjusted for confounders. Statistical significance was set at a P-value <0.05.
Results: The average±standard deviation [SD] age of the glaucoma prevalence study group was 56.59±10.48, and 42.98% were male. Notably, every unit increase in the STOP-Bang score was associated with a greater risk of glaucoma (odds ratio, 1.097; P=0.044). In the IOP subgroup, the average±SD age was 56.49±10.45 years, with 42.88% being males. The linear regression showed a statistically significant relationship between the STOP-Bang score and IOP after adjusting for confounding variables (β=0.171, P<0.001).
Conclusion: Our findings revealed a significant positive association between OSA risk, as measured using the STOP-Bang score, and both the likelihood of glaucoma and high IOP.