Qianli Meng1, Ying Cui1, Min Zhang2, Lixin Zhang3, Liang Zhang1, Jinxin Zhang4, Jian Kuang5, Qingyang Liu2, Yang Zheng6, Zhongling Luo3, Huikun Liu3, Guoping Zhu3, Jingjing Cai1, Guanrong Zhang7, Xingxuan Wen4, Haike Guo1,8. 1. Guangdong Eye Institute, Department of Ophthalmology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China. 2. Department of Ophthalmology, Dongguan People's Hospital, Dongguan, Guangdong, China. 3. Department of Ophthalmology, Hengli Hospital, Dongguan, Guangdong, China. 4. Department of Epidemiology and Health Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. 5. Department of Endocrinology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China. 6. The First Affiliated Hospital of Chongqing Medical University, Chongqing Eye Institute, Chongqing Key Laboratory of Ophthalmology, Chongqing, China. 7. Health Management Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China. 8. Henan Aier Eye Hospital, Aier School of Ophthalmology, Central South University, Changsha, China.
Abstract
BACKGROUND: To describe the study design, methodology and baseline characteristics of the Dongguan Eye Study. DESIGN: Population-based, cross-sectional study PARTICIPANTS: A total of 8952 rural-dwelling residents aged 40 years or older in Hengli, Dongguan. METHODS: The Dongguan Eye Study was conducted from September 2011 to February 2012. The interview covered demographic data, socio-economic status and health- and vision-related quality of life. Physical measurements included height, weight, waist and hip circumference, heart rate and blood pressure. Laboratory tests included fasting blood glucose, haemoglobin A1c, oral glucose tolerance, serum total cholesterol, triglycerides, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, serum creatinine, blood urea nitrogen and uric acid. Ophthalmic examinations included visual acuity and autorefraction testing, intraocular pressure measurement, slit-lamp examination, ocular biometry, gonioscopy, fundus photography, retinal nerve fibre layer imaging and visual field testing. MAIN OUTCOME MEASURES: Prevalence and risk factors for visual impairment, blindness, eye diseases and their associations with systemic medical indicators or health-related lifestyles, as well as epidemiological data on diabetic subjects. Methodology, response rates and baseline characteristics are presented. RESULTS: Of the 11 357 individuals eligible for the Dongguan Eye Study, 8952 (78.82%) subjects participated. All participants were self-identified Han Chinese. The average age was 54.0 years, 59.9% were female, 48.4% were farmers and 77.2% had elementary or junior middle school educational levels. The average body mass index and waist-hip ratio were 24.6 ± 3.9 kg/m(2) and 0.9 ± 0.2. CONCLUSIONS: Data from the Dongguan Eye Study provide information concerning the prevalence, risk factors and impacts of eye diseases in rural residents undergoing urbanization in southern China.
BACKGROUND: To describe the study design, methodology and baseline characteristics of the Dongguan Eye Study. DESIGN: Population-based, cross-sectional study PARTICIPANTS: A total of 8952 rural-dwelling residents aged 40 years or older in Hengli, Dongguan. METHODS: The Dongguan Eye Study was conducted from September 2011 to February 2012. The interview covered demographic data, socio-economic status and health- and vision-related quality of life. Physical measurements included height, weight, waist and hip circumference, heart rate and blood pressure. Laboratory tests included fasting blood glucose, haemoglobin A1c, oral glucose tolerance, serum total cholesterol, triglycerides, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, serum creatinine, blood ureanitrogen and uric acid. Ophthalmic examinations included visual acuity and autorefraction testing, intraocular pressure measurement, slit-lamp examination, ocular biometry, gonioscopy, fundus photography, retinal nerve fibre layer imaging and visual field testing. MAIN OUTCOME MEASURES: Prevalence and risk factors for visual impairment, blindness, eye diseases and their associations with systemic medical indicators or health-related lifestyles, as well as epidemiological data on diabetic subjects. Methodology, response rates and baseline characteristics are presented. RESULTS: Of the 11 357 individuals eligible for the Dongguan Eye Study, 8952 (78.82%) subjects participated. All participants were self-identified Han Chinese. The average age was 54.0 years, 59.9% were female, 48.4% were farmers and 77.2% had elementary or junior middle school educational levels. The average body mass index and waist-hip ratio were 24.6 ± 3.9 kg/m(2) and 0.9 ± 0.2. CONCLUSIONS: Data from the Dongguan Eye Study provide information concerning the prevalence, risk factors and impacts of eye diseases in rural residents undergoing urbanization in southern China.