目的：了解新疆喀什地区英吉沙县7~16岁儿童青少年弱视患病情况及其相关因素，为制定科学有效的眼健康防控策略提供依据。方法：选取新疆喀什地区英吉沙县3 261名在校儿童青少年，对其进行裸眼视力、最佳矫正视力、屈光度、眼位和眼底情况等检查，并通过问卷调查收集其基本人口学信息、近视家族史、用眼情况和睡眠情况，采用Logistic回归分析7~16岁儿童青少年弱视患病的相关因素。结果：英吉沙县儿童青少年弱视的患病率为1.99%（95%·CI: 1.51~2.47）。弱视患病率在学生类型、性别、近视家族史、主观睡眠质量、每天写作业时间、每天睡眠时间等方面比较差异无统计学意义（P＞0.05），在斜视、近视、远视、屈光参差、每天使用电子产品时间等方面比较差异有统计学意义（P＜0.05）。多因素回归分析结果显示，斜视、远视、屈光参差及每天使用电子产品时间与弱视相关，对应的OR值相应为3.82（95%CI: 1.93~7.58，P＜0.001）、10.88（95%CI: 4.85~24.40，P＜0.001）、13.54（95%CI:6.84~26.78，P＜0.001）和0.25（95%CI: 0.12~0.54, P＜0.001），合并斜视、远视或屈光参差的儿童青少年患弱视的风险增加。每天使用电子产品时间＞60 min的儿童青少年患弱视风险较使用时间≤60 min降低。弱视类型以屈光不正性弱视和屈光参差性弱视为主。结论：在新疆喀什地区英吉沙县7~16岁儿童青少年人群中，屈光不正和屈光参差是弱视患病的主要原因。斜视、远视、屈光参差、每天使用电子产品时间是弱视的影响因素。

Objective: To conduct a comprehensive investigation into the prevalence of amblyopia and its influencing factors among children and adolescents aged 7-16 in Yingjisha County, Kashgar Prefecture, Xinjiang. The ojective is to furnish a solid basis for formulating scientific and effective eye health prevention and control strategies. Methods: A total of 3,261 school-aged children and adolescents in Yingjisha County, Kashgar Prefecture, Xinjiang, were selected for this study. The examinations included uncorrected visual acuity, best-corrected visual acuity, refractive error, ocular alignment, and fundus condition. A questionnaire was used to collect demographic information, family history of myopia, daily eye-use habits, and sleep status. The data were analyzed using SPSS statistical software, and logistic regression was employed to explore factors associated with amblyopia in children and adolescents aged 7-16. Results: The study revealed that the prevalence of amblyopia among children and adolescents in Yingjisha County was 1.99% （95% CI: 1.51-2.47）. There were no significant differences (P > 0.05) in the prevalence of amblyopia across student type, sex, family history of myopia, subjective sleep quality, daily homework duration, or daily sleep duration. However, significant differences (P < 0.05) were observed in cases involving strabismus, myopia, hyperopia, anisometropia, and daily screen time. Multivariate regression analysis indicated that strabismus (OR = 3.82, 95% CI: 1.93-7.58, P < 0.001), hyperopia (OR = 10.88, 95% CI: 4.85-24.40, P < 0.001), and anisometropia (OR = 13.54, 95% CI: 6.84–26.78, P < 0.001) were positively correlated with amblyopia. Conversely, children and adolescents who used electronic devices for >60 minutes per day had a lower risk of amblyopia (OR = 0.25, 95% CI: 0.12-0.54, P < 0.001) compared to those with ≤60 minutes or less of daily screen time. The most common type of amblyopia was mixed amblyopia （60.00%）, followed by anisometropic amblyopia （23.08%）, refractive amblyopia （12.31%）, and strabismic amblyopia （4.62%）. Among mixed amblyopia cases, the combination of refractive amblyopia and anisometropic amblyopia was the predominant pattern （64.10%）. Conclusions: Refractive errors and anisometropia are the main causes of amblyopia. Strabismus, myopia, hyperopia, anisometropia and the duration of electronic device use are identified as influencing factors for amblyopia.