Influencing factors associated with high myopia in Chinese college students.
Influencing factors associated with high myopia in Chinese college students.
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DOI：
10.3389/fmed.2023.1146291
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发表时间：
2023
影响因子：
3.9
通讯作者：
中科院分区：
文献类型：
--
作者：
高度近视可引起眼底不可逆的病理改变，严重影响视觉质量，已成为中国的一个重大公共卫生问题。然而，在中国大学生中，HM的相关影响因素尚不清楚，他们的视觉素质对国家发展至关重要。这是一项横断面观察性研究。2315名本科生和研究生最初从中国天津的3所大学的各个专业招募。在自愿参与和知情同意的原则下，对招募的受试者进行简单随机抽样，同时保持每个专业的受试者数量平衡。经纳入和排除标准筛选后，最终纳入96名本科生和研究生（186只眼），并将其分为非HM组和HM组。通过光学相干断层扫描血管造影（OCTA）检查受试者的眼睛黄斑和视盘处的血管密度和结构厚度，并通过生活方式和学习习惯的逐项问卷调查受试者。OCTA和问卷调查结果显示10个因素，包括血流动力学和解剖参数和生活方式指标，非HM组和HM组之间具有统计学意义。受试者工作特征曲线分析显示，黄斑部视网膜内层血管密度、视盘部放射状乳头周围毛细血管密度、使用智能手机时间、连续近距离工作时间和午夜后睡觉具有上级的曲线下面积值（AUC > 0.700）。因此，选择这5个因素进行单变量和多变量logistic回归分析。包含5个影响因素的预测模型的AUC为0.940，95%CI为0.908-0.972。本研究首次确定黄斑部视网膜内层血管密度、视盘部径向乳头周围毛细血管密度、使用智能手机时间、连续近距离工作时间和午夜后睡觉是中国大学生HM的影响因素。提出了一个包含5个影响因素的预测模型，用于计算中国大学生发生HM的可能性，并据此建议改善生活方式和进行医疗干预。
High myopia (HM) may elicit irreversible pathological changes in the fundus and severely impair visual quality, thereby becoming a major public health issue in China. However, the influencing factors associated with HM remain unknown in Chinese college students, whose visual quality is crucial to country development. This is a cross-sectional observational study. Two thousand three hundred and fifteen undergraduate and graduate students were initially recruited from various majors in 3 universities in Tianjin, China. Under the principle of voluntary participation and informed consent, simple random sampling was conducted in the recruited subjects while maintaining balanced number of subjects from each major. After screening with inclusion and exclusion criteria, 96 undergraduate and graduate students (186 eyes) were finally included and divided into non-HM and HM groups. The eyes of subjects were examined by optical coherence tomography angiography (OCTA) for vessel density and structure thickness at the macula and optic disc, and the subjects were surveyed by an itemized questionnaire on lifestyles and study habits. The OCTA and questionnaire results revealed 10 factors, including hemodynamic and anatomic parameters and lifestyle metrics, with statistical significance between the non-HM and HM groups. Receiver operating characteristic curve analysis showed that vessel density of the inner retina at the macula, vessel density of the radial peripapillary capillary at the optic disc, smartphone usage time, continuous near work time, and sleeping after midnight had superior values of area under the curve (AUC > 0.700). Therefore, these 5 factors were selected for univariant and multivariant logistic regression analyses. A prediction model comprising the 5 influencing factors had an AUC of 0.940 and 95% CI of 0.908–0.972. This study for the first time identified the vessel density of the inner retina at the macula, the vessel density of the radial peripapillary capillary at the optic disc, smartphone usage time, continuous near work time, and sleeping after midnight as influencing factors associated with HM in Chinese college students. A prediction model comprising the 5 influencing factors was proposed for calculating likelihood of a Chinese college student developing HM, based on which lifestyle improvement and medical intervention might be recommended.
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影响因子：
4.4
作者：
Jong M;Jonas JB;Wolffsohn JS;Berntsen DA;Cho P;Clarkson-Townsend D;Flitcroft DI;Gifford KL;Haarman AEG;Pardue MT;Richdale K;Sankaridurg P;Tedja MS;Wildsoet CF;Bailey-Wilson JE;Guggenheim JA;Hammond CJ;Kaprio J;MacGregor S;Mackey DA;Musolf AM;Klaver CCW;Verhoeven VJM;Vitart V;Smith EL 3rd
通讯作者：
Smith EL 3rd
影响因子：
8.1
作者：
Du, Ran;Xie, Shiqi;Ohno-Matsui, Kyoko
通讯作者：
Ohno-Matsui, Kyoko
SS-OCT/OCTA 评估成人屈光不正的脉络膜血管和脉络膜毛细血管血流灌注
影响因子：
4.4
作者：
Wu H;Zhang G;Shen M;Xu R;Wang P;Guan Z;Xie Z;Jin Z;Chen S;Mao X;Qu J;Zhou X
通讯作者：
Zhou X
影响因子：
5.2
作者：
Fan Q;Wang H;Kong W;Zhang W;Li Z;Wang Y
通讯作者：
Wang Y
近视相关的阶梯式和象限性视网膜微血管改变及其与眼轴长度的相关性
影响因子：
3.9
作者：
Liu, Mingming;Wang, Peng;Ke, Bilian
通讯作者：
Ke, Bilian