目的：探索一种无创的、智能可穿戴设备监测学龄儿童量化的用眼行为，并定量分析近视发生的相关因素。方法：招募佛山市禅城区石湾第二小学三年级及狮城中学小学部五年级的年龄为7~11岁部分学生共171例。所有受试者均按照非睫状肌麻痹主觉验光结果分为近视组108例和非近视组63例，所有受试者均佩戴智能可穿戴设备“云夹”，进行为期10 d(2022年9月21日—2022年10月2日)的用眼行为数据(近距离用眼距离、近距离用眼时间、近距离环境光照、有效户外时间)采集。采用t检验比较近视组与非近视组儿童在用眼行为数据之间的差异，并应用Logistic回归分析用眼行为与近视发生的相关性。绘制受试者操作特征(receiver operating characteristic curve,ROC)曲线，并计算曲线下面积(area undercurve,AUC)分析用眼行为习惯对近视发生的预测价值。结果：学龄期儿童近视患病率为63.2%。近视组与非近视组在每天用眼时间、单次用眼时间、用眼距离、白天用眼光照、晚上用眼光照、每天户外活动时间及每天有效户外活动暴露次数比较差异均有统计学意义(均P＜0.05)。Logistic回归分析显示，单次用眼时间、每天用眼时间是近视发生的危险因素。Spearman相关性分析显示，单次用眼时间及每天用眼时间均与近视发生呈正相关(均P＜0.05)。单次用眼时间预测近视发生的ROC曲线下面积为0.939。结论：可穿戴设备“云夹”可量化学龄期儿童用眼行为；学龄期儿童近视发生可能与近距离用眼时间有一定相关性；预测模型可结合儿童屈光发育档案，量化近视发生风险，对儿童实现分类管理，及时采取个性化干预。

Objective: To investigate a non-invasive,smart device capable of monitoring the quantitative visual behavior of school age children, and to analyze quantitatively the relationship between visual behavior and the occurrence of myopia. Methods: This study recruited 171 subjects aged between 7 and 11 years from the third grade of Shiwan SecondPrimary School and the fifth grade of Shicheng Middle School in Chancheng District, Foshan City. Participants werecategorized into a myopia group (108 subjects) and a non-myopia group (63 subjects) based on results from non-ciliary muscle paralysis optometry. All subjects wore "clips" to track their near-work distance, near-work duration, lighting conditions during near-work, and time spent on outdoor activities between September 21, 2020, and October 10, 2020. Differences in these habits between the myopia and non-myopia groups were compared, and logistic regression analysis was conducted to assess the impact of habitual eye use on myopia. Results: The prevalence of myopia was found to be 63.2%. Statistically significant differences (all P<0.05) were observed between the myopic and non-myopic groups regarding average daily near-work time, average single near-work session duration, average near-work distance, average daytime and nighttime near-work lighting conditions, average daily outdoor activity time, and average daily effective outdoor activity exposure. Logistic regression analysis indicated that longer average single near-work sessions and increased average daily near-work time were risk factors for myopia. Spearman correlation analysis further supported these findings, showing a positive correlation between average single near-work session duration and average daily  near-work time with the occurrence of myopia (all P<0.05). The predictive accuracy of a model combining average single near-work session duration and average daily near-work time for myopia occurrence was high, with an area under the curve of 0.939. Conclusions: The wearable device "Cloud clip" effectively monitors the visual behavior of school-age children. The occurrence of myopia in this age group may be associated with increased near-work activities. A predictive model incorporating refractive development in myopic children can assess the quantitative risk of myopia, enabling the classification and management of school-age children. Personalized interventions may serve as protective factors against myopia.

目的：评估分析新疆地区14个地州6~18岁学龄儿童青少年屈光参差的患病率、空间分布特征和影响因素，为制定区域性眼健康干预策略提供科学依据。方法：采用横断面研究设计，纳入新疆地区14个地州的小学、初中及高中学生共64 277名，收集其人口学特征、屈光状态及地域分布数据。通过等效球镜度（spherical equivalent，SE）评估屈光状态，近视为SE ≤ -0.50 D，屈光参差为眼间SE差异≥1.0 D，采用Moran's I分析屈光参差患病率的空间分布，采用单因素及多因素回归分析探讨屈光参差的危险因素。结果：屈光参差的总体患病率为17.9%（95% CI：17.6%～18.2%），女性屈光参差患病率（18.8%）高于男性（16.9%），汉族（23.9%）高于维吾尔族（11.7%）和其他民族（18.4%）（P<0.001）。屈光参差患病率呈空间聚集分布(Moran's I = 0.450，P = 0.043，Z = 2.026)，并且存在地域差异，昌吉最高（24.1%），克孜勒苏柯尔克孜自治州最低（7.9%），城市（19.0%）高于农村（15.6%），北疆（19.9%）高于南疆（13.5%）（P<0.001）。屈光参差的患病率与年龄呈正相关，6岁为9.8%，18岁达22.4%。多因素回归分析显示，女性、北疆地区、近视和较高年龄是屈光参差的独立危险因素（P<0.05）。结论：新疆地区学龄儿童青少年屈光参差患病率较高，在空间上呈聚集分布，且存在显著的人口学及地域差异，女性、北疆地区、近视和较高年龄是屈光参差的独立危险因素，建议加强对高危人群的视力筛查及早期干预。  

Objective: To evaluate and analyze the prevalence, spatial distribution characteristics, and influencing factors of anisometropia among school-aged children and adolescents aged 6-18 across 14 prefectures in Xinjiang, thereby providing a scientific foundation for formulation of regional eye health intervention strategies. Methods: A cross-sectional study design was employed, including 64,277 students from primary, middle, and high schools in 14 prefectures of Xinjiang. Data on demographic characteristics, refractive status, and geographical distribution were collected. Refractive status was assessed using spherical equivalent (SE). Myopia was defined as SE ≤ -0.50 D, and anisometropia was defined as an interocular SE difference ≥ 1.0 D. Moran's I analysis was used to evaluate the spatial distribution of anisometropia prevalence. Additionally, univariate and multivariate regression analyses were conducted to identify risk factors for anisometropia. Results: The overall prevalence of anisometropia was 17.9% (95% CI: 17.6%-18.2%). The prevalence was higher among females (18.8%) compared to males (16.9%), and higher among Han Chinese (23.9%) than among Uyghurs (11.7%) and other ethnic groups (18.4%) (P<0.001). The prevalence of anisometropia showed a spatially clustered distribution (Moran's I = 0.450, P= 0.043, Z-score = 2.026) , with notable regional variations. Changji had the highest prevalence (24.1%), while Kizilsu Kirghiz Autonomous Prefecture had the lowest (7.9%). Urban areas (19.0%) had a higher prevalence than rural areas (15.6%), and northern Xinjiang (19.9%) had a higher prevalence than southern Xinjiang (13.5%) (P<0.001). The prevalence of anisometropia was positively correlated with age, increasing from 9.8% at age 6 to 22.4% at age 18. Multivariate regression analysis showed that female gender, residing in northern Xinjiang, myopia, and older age were independent risk factors for anisometropia. Conclusions: The prevalence of anisometropia among school-aged children and adolescents in Xinjiang is relatively high, showing a spatially clustered distribution with significant demographic and regional disparities. Female gender, residing in northern Xinjiang, myopia, and older age are independent risk factors for anisometropia. It is recommended to enhance vision screening and implement early intervention for high-risk populations.

目的：干眼已成为影响儿童和青少年眼健康的重要问题，但其流行病学特征及相关因素尚未在中国西部地区儿童和青少年群体中得到充分研究。本研究旨在调查新疆喀什地区英吉沙县学龄儿童和青少年的干眼患病率，并分析其相关因素，为儿童和青少年干眼的防治提供流行病学依据。方法：本研究为横断面研究，于2024年5—6月在英吉沙县第三中学和芒辛镇中心小学开展，共纳入3 305名在校儿童和青少年进行问卷调查，并随机抽取557名儿童和青少年进行眼表检查。采用眼表综合分析仪测量泪河高度和非接触泪膜破裂时间。干眼诊断基于世界泪膜与眼表学会发布的第二版干眼专家共识（2017）。采用多因素logistic回归分析干眼的相关因素。结果：在557名参与儿童和青少年中，干眼患病率为16.88%（94/557）。不同性别间干眼患病率比较差异无统计学意义（P=0.81）。干眼患病率随年龄增长而增加，具有显著的线性趋势。任一眼有屈光不正的儿童和青少年干眼患病率更高（29.05% vs. 12.47%，P<0.001）。多因素Logistic回归分析显示年龄（OR=1.21）和屈光不正（OR=2.72）是干眼的危险因素，性别、身体质量指数、右眼眼轴长度及父母近视情况无关。结论：新疆喀什地区英吉沙县学龄儿童和青少年的干眼患病率与全国均值相近且偏低，年龄增长和屈光不正显著增加干眼患病风险，应关注儿童和青少年屈光状态对眼表健康的影响，并采取相应的预防措施。

Objective: Dry eye (DED) has emerged as an important ocular health concern among children and adolescents. However, in pediatric populations in western China, its epidemiological characteristics and associated risk factors have not been thoroughly investigated. This study aimed to investigate the prevalence of DED and analyze its risk factors among school-age children and adolescents in Yingjisha County, Kashgar Prefecture, Xinjiang, so as to provide a solid evidence base for formulating prevention and control strategies. Methods: This cross-sectional study was conducted from May to June 2024 at Yingjisha County No. 3 Middle School and Mangxin Central Primary School. A total of 3,305 school children and adolescents completed the questionnaire, and 557 of them were randomly selected for ocular surface examinations. The Keratograph 5M was used to measure tear meniscus height (TMH) and non-invasive tear break-up time (NIBUT). DED diagnosis adhered to the Dry Eye WorkShop II 2017 (DEWS II) criteria published by Tear Film & Ocular Surface Society (TFOS). Multivariate logistic regression was applied to evaluate the associated risk factors. Results: Among the 557 children and adolescents who underwent examinations, the prevalence of DED was 16.88% (94/557). No statistically significant difference was observed between genders (P = 0.81). The prevalence of DED increased with age, showing a significant linear trend. Participants with refractive errors in either eye had a significantly higher prevalence of DED (29.05% vs. 12.47%, P< 0.001). Logistic regression analysis identified age (OR = 1.21) and refractive error (OR = 2.72) as risk factors. No significant associations were found for gender, Body Mass Index (BMI), axial length of the right eye, or parental myopia. Conclusions: The prevalence of DED among school-age children and adolescents in Yingjisha County is either comparable to or slightly lower than, the national average. Age and refractive error substantially increase the risk of DED. Greater attention should be directed towards children’s refractive status to protect ocular surface health and implement early preventive measures.

目的：观察学龄儿童的近视进展情况，分析近视进展的危险因素。方法：于2014年纳入温州2所小学二、三年级近视儿童，每年随访1次，直至小学毕业。检查内容包括非睫状肌麻痹主觉验光、双眼视功能检查(隐斜、调节性集合/调节、正负相对调节、正负融像性聚散)和问卷调查。采用无序多分类logistic回归分析近视进展速度的危险因素。结果：共纳入152名近视儿童[年龄7~9岁，95名(62.5%)男性]，初始屈光度为-1.30±0.95屈光度(diopter，D)，年近视进展量为-0.68±0.35 D。回归分析表明：与慢速组相比(年近视进展量>-0.50 D)，中速组(-1.00 D<年近视进展量≤-0.50 D)与快速组(年近视进展量≤-1.00 D)中初始屈光度≤-1.00 D的儿童占比更大(中速组：OR=3.51，P=0.003；快速组：OR=3.29，P=0.044)，快速组中女性占比更大(OR=4.52，P=0.012)，基线双眼视功能参数在不同组间差异均无统计学意义(均P>0.05)。结论：学龄儿童近视进展速度与性别、初始屈光度相关，与基线双眼视功能无关。女孩、初始近视程度大(7~9岁时，屈光度≤-1.00 D)的儿童近视进展快。

Objective: To investigate myopia progression and analyze the risk factors associated with myopia progression in a cohort of primary schoolchildren. Methods: The study was conducted in two primary schools in Wenzhou. Schoolchildren from grades 2 and 3 were examined in 2014 and were followed up annually until primary school graduation at grade 6. Children who were myopic at baseline were included in this study. The examination included non-cycloplegic subjective refraction, questionnaire survey, and binocular visual function parameters such as phoria, accommodative convergence/accommodation, positive relative accommodation, negative relative accommodation, and fusional convergence range. Multinomial logistic regression analysis was conducted to investigate the risk factors associated with various myopia progression speeds. Results: A total of 152 myopic schoolchildren [baseline age range 7–9 years; 95 male (62.5%)] were included in this study. The average refractive error (spherical equivalent refraction, SER) at baseline was -1.30±0.95 D, and the average annual myopia progression was -0.68±0.35 D. Multinomial logistic regression analysis showed that compared to the slow myopia progression group (annual myopia progression >-0.50 D), the moderate myopia progression group (-1.00 D < annual myopia progression ≤-0.50 D) and the fast myopia progression group (annual myopia progression ≤-1.00 D) were associated with having SER values ≤-1.00 D at baseline (moderate: OR=3.51, P=0.003; fast: OR=3.29, P=0.044); the fast myopia progression group was also associated with female sex (OR=4.52, P=0.012); baseline binocular visual function parameters were not related to various myopia progression speeds (P>0.05 for all). Conclusion: Sex and baseline refractive error were associated with various myopia progression among primary schoolchildren. No correlation between baseline binocular visual functions and myopia progression was found in this study. Myopia progressed faster in girls and children who had greater myopia (SER values ≤?1.00 D at age 7–9 years) at baseline.