Association between sleep quality and dry eye symptoms among adolescents
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摘要:
目的 探索青少年睡眠质量和干眼症状之间的关联,为降低青少年干眼症状患病率提供参考。 方法 研究对象为来自中国居民心理与行为调查(PBICR)的12~24岁青少年,于2022年6月20日—8月31日,采用分层随机与配额抽样相结合的方法在中国大陆范围选取6 456名青少年,并对其使用眼表疾病指数(OSDI)和简版匹兹堡睡眠质量指数(B-PSQI)评估干眼症状和睡眠质量。应用多元Logistic回归模型探索睡眠质量与青少年干眼症状之间的关系,利用交互项探讨性别对关联的影响。 结果 共有2 815名青少年报告存在干眼症状,报告率为43.6%。Logistic回归分析结果显示,睡眠质量不良的青少年干眼症状加重的风险增加,与睡眠质量良好组相比,睡眠质量不良组轻度、中度和重度干眼症状的OR值(95%CI)分别为1.39(1.16~1.67),1.52(1.28~1.81),2.35(2.02 ~2.72)(P值均 < 0.05)。睡眠质量和性别对青少年干眼症状的交互作用有统计学意义(P < 0.01)。 结论 睡眠质量与青少年干眼症状之间存在关联,睡眠质量不良者干眼症状加重的风险更高,其影响在男生中更大。 Abstract:Objective To explore the association between sleep quality and dry eye symptoms in adolescents, so as to provide the evidence for reducing the prevalence of dry eye symptoms. Methods The study population was adolescents aged 12-24 years from the Psychology and Behavior Investigation of Chinese Residents (PBICR) survey, which was conducted from 20 June to 31 August 2022. A stratified random sampling and quota sampling method was used to select 6 456 adolescents within mainland China. The Ocular Surface Disease Index (OSDI) and Brief version of the Pittsburgh Sleep Quality Index (B-PSQI) were used to assess dry eye symptoms and sleep quality. Multiple Logistic regression model was used to explore the relationship between sleep quality and dry eye symptoms in adolescents. The influence of gender on the association was explored by using interaction terms. Results A total of 2 815 adolescents reported having dry eye symptoms, with a prevalence of 43.6%. Logistic regression analysis results showed an increased risk of exacerbation of dry eye symptoms in adolescents with poor sleep quality. The OR(95%CI) for mild, moderate, and severe dry eye symptoms groups were 1.39(1.16-1.67), 1.52(1.28-1.81), and 2.35(2.02-2.72), respectively, compared with the ocularly normal group (P < 0.05). There was a significant interaction between sleep quality and gender on dry eye symptoms in adolescents (P < 0.01). Conclusions Sleep quality is associated with dry eye symptoms in adolescents, and those with poor sleep quality have a higher risk of dry eye symptoms. The effect of sleep quality on dry eye symptoms is greater in boys. -
Key words:
- Sleep /
- Xerophthalmia /
- Regression analysis /
- Adolescent
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 青少年不同程度干眼症状报告率单因素分析
Table 1. Univariate analysis of the report rates of different degrees of dry eye symptoms in adolescents
因素 选项 人数 轻度 中度 重度 χ2/H值 P值 年龄/岁 12~15 1 058 121(11.4) 96(9.1) 164(15.5) 22.92 < 0.01 16~19 3 320 447(13.5) 405(12.2) 652(19.6) 20~24 2 078 223(10.7) 305(14.7) 402(19.3) 性别 男 3 196 316(9.9) 377(11.8) 647(20.2) 33.64 < 0.01 女 3 260 475(14.6) 429(13.2) 571(17.5) 眼科相关疾病 是 4 080 616(15.1) 546(13.4) 778(19.1) 74.98 < 0.01 否 2 376 175(7.4) 260(10.9) 440(18.5) 慢性病 是 620 90(14.5) 110(17.7) 162(26.1) 11.58 < 0.01 否 5 836 701(12.0) 696(11.9) 1 056(18.1) 易感疲劳 是 3 623 478(13.2) 518(14.3) 842(23.2) 681.74 < 0.01 否 2 833 313(11.0) 288(10.2) 376(13.3) 平均每周参与体育活动天数/d 0~3 5 144 630(12.2) 641(12.5) 949(18.4) 19.01 < 0.01 4~7 1 312 161(12.3) 165(12.6) 269(20.5) 平均每天入睡前使用智能手机时长/h ≤1 3 896 469(12.0) 478(12.3) 725(18.6) 1.63 0.65 >1 2 560 322(12.6) 328(12.8) 493(19.3) 经济分区 东部 2 578 339(13.1) 312(12.1) 485(18.8) 4.26 0.64 中部 2 184 247(11.3) 274(12.5) 412(18.9) 西部 1 694 205(12.1) 220(13.0) 321(18.9) 睡眠质量 良好 4 687 556(11.9) 540(11.5) 669(14.3) 127.11 < 0.01 不良 1 769 235(13.3) 266(15.0) 549(31.0) 注: ()内数字为报告率/%。 表 2 睡眠质量与青少年干眼症状关联的多因素Logistic回归模型[OR值(95%CI),n=6 456]
Table 2. Multivariate Logistic regression model for the association between sleep quality and dry eye symptoms in adolescents [OR(95%CI), n=6 456]
模型 睡眠质量 轻度 中度 重度 模型1 良好 1.00 1.00 1.00 不良 1.72(1.45~2.04) 2.00(1.69~2.37) 3.34(2.90~3.83) 模型2 良好 1.00 1.00 1.00 不良 1.39(1.16~1.67) 1.52(1.28~1.81) 2.35(2.02~2.72) 注: P值均<0.01;模型1为未校正混杂因素,模型2为校正了性别、年龄、眼科相关疾病、慢性病、易感疲劳、平均每周参与体育活动天数等混杂因素。 -
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