PT - JOURNAL ARTICLE AU - Liu, Yuanyuan AU - Yao, Baoqun AU - Chen, Xi AU - Yang, Xueli AU - Liu, Yong AU - Xie, Zhenggao AU - Chen, Xiaofeng AU - Yuan, Zhigang AU - Wang, Xingrong AU - Hu, Dan AU - Ma, Xiang AU - Gao, Weiqi AU - Wang, Ruifeng AU - Yang, Yuzhong AU - Chen, Song AU - Zhang, Jingkai AU - Song, Zuoqing AU - Wang, Junsu AU - Wang, Jing AU - Pei, Jinyun AU - Wang, Weijuan AU - Wang, Meiyan AU - Gao, Jun AU - Zhang, Hongwen AU - Tan, Lian AU - Du, Wei AU - Pan, Xuehui AU - Liu, Gang AU - Du, Xiujuan AU - Hou, Xu AU - Gao, Xin AU - Zhang, Zhen AU - Shen, Zhansheng AU - Wu, Changfu AU - Yan, Xiaochang AU - Bo, Shaoye AU - Sun, Xinghuai AU - Tang, Nai-jun AU - Zhang, Chun AU - Yan, Hua TI - Glaucoma in rural China (the Rural Epidemiology for Glaucoma in China (REG-China)): a national cross-sectional study AID - 10.1136/bjo-2021-320754 DP - 2023 Oct 01 TA - British Journal of Ophthalmology PG - 1458--1466 VI - 107 IP - 10 4099 - http://bjo.bmj.com/content/107/10/1458.short 4100 - http://bjo.bmj.com/content/107/10/1458.full SO - Br J Ophthalmol2023 Oct 01; 107 AB - Objective This study aimed to investigate the prevalence of glaucoma with associated factors in the rural populations of 10 provinces in China.Design A population-based cross-sectional study.Methods All participants aged 6 years or older from 10 provinces completed visual acuity testing, slit-lamp examination, ophthalmoscopy and non-contact tonometry. Glaucoma suspects underwent fundus photography, Goldmann applanation tonometry, visual field testing and gonioscopy. Glaucoma was determined according to the International Society of Geographical and Epidemiological Ophthalmology classification scheme. Associations of demographics and medical factors with glaucoma were assessed using multiple logistic regression models.Results From June 2017 to October 2018, 48 398 of 52 041 participants were included in the final analyses. The age-standardised prevalence of glaucoma was 1.7% (95% CI 1.55% to 1.78%) among the participants older than 6 years, which was 2.1% (95% CI 1.93% to 2.23%) in participants aged over 40 years. The constituent ratios of glaucoma were: 44.4% primary angle-closure glaucoma (PACG), 34.7% primary open-angle glaucoma, 2.6% congenital glaucoma and 18.3% other types of glaucoma. Increasing age, smoking, cerebral stroke, type 2 diabetes, higher education (college or more) and higher personal income were significant risk factors for PACG. The unilateral and bilateral blindness rates in the entire study population were 4.692% and 1.068%, respectively. A family history of glaucoma was a significant risk factor for the prevalence of glaucoma and blindness in at least one eye.Conclusions Rural populations have a high prevalence of glaucoma, which should be included in chronic disease management programmes in China for long-term care.Data are available on reasonable request.