PURPOSE: To examine associations between myopia and measures of urbanization in a population-based sample of 12-year-old Australian children. METHODS: Questionnaire data on sociodemographic and environmental factors including ethnicity, parental education, and time spent in near work and outdoor activities were collected from 2367 children (75.0% response) and their parents. Population density data for the Sydney area were used to construct five urban regions. Myopia was defined as spherical equivalent refraction </= -0.50 D. RESULTS: Myopia prevalence was lowest in the outer suburban region (6.9%) and highest in the inner city region (17.8%), with mean refraction tending toward greater myopia by region (outer suburban to inner city), after adjustment for age, sex, ethnicity, near work, outdoor activity, and parental myopia. Multivariate-adjusted analyses confirmed greater odds for myopia in regions of higher population density (P(trend) = 0.0001). Myopia was significantly more prevalent among children living in apartment residences than other housing types (chi(2) < 0.0001), after adjustment for ethnicity, near work, and outdoor activity. Housing density (measured as the number of houses visible from a front door) was not significantly associated with myopia (chi(2) = 0.1). For both European Caucasian and East Asian children, myopia was most prevalent in the inner city region (8.1% and 55.1%, for European Caucasian and East Asian, respectively). CONCLUSIONS: The higher myopia prevalence in inner city-urban areas compared with outer suburban areas for this large childhood sample suggest that even moderate environmental differences within a predominantly urban setting may be associated with increased odds of myopia. These findings are consistent with previous reports of rural-urban differences in childhood myopia.
PURPOSE: To examine associations between myopia and measures of urbanization in a population-based sample of 12-year-old Australian children. METHODS: Questionnaire data on sociodemographic and environmental factors including ethnicity, parental education, and time spent in near work and outdoor activities were collected from 2367 children (75.0% response) and their parents. Population density data for the Sydney area were used to construct five urban regions. Myopia was defined as spherical equivalent refraction </= -0.50 D. RESULTS:Myopia prevalence was lowest in the outer suburban region (6.9%) and highest in the inner city region (17.8%), with mean refraction tending toward greater myopia by region (outer suburban to inner city), after adjustment for age, sex, ethnicity, near work, outdoor activity, and parental myopia. Multivariate-adjusted analyses confirmed greater odds for myopia in regions of higher population density (P(trend) = 0.0001). Myopia was significantly more prevalent among children living in apartment residences than other housing types (chi(2) < 0.0001), after adjustment for ethnicity, near work, and outdoor activity. Housing density (measured as the number of houses visible from a front door) was not significantly associated with myopia (chi(2) = 0.1). For both European Caucasian and East Asian children, myopia was most prevalent in the inner city region (8.1% and 55.1%, for European Caucasian and East Asian, respectively). CONCLUSIONS: The higher myopia prevalence in inner city-urban areas compared with outer suburban areas for this large childhood sample suggest that even moderate environmental differences within a predominantly urban setting may be associated with increased odds of myopia. These findings are consistent with previous reports of rural-urban differences in childhood myopia.
Authors: M Wang; J Ma; L Pan; T Chen; H L Wang; Y H Wang; W R Wang; X D Pan; Y G Qian; X Zhang; Y Zhong; G L Shan Journal: Eye (Lond) Date: 2019-06-03 Impact factor: 3.775
Authors: Andrea Russo; Francesco Semeraro; Mario R Romano; Rodolfo Mastropasqua; Roberto Dell'Omo; Ciro Costagliola Journal: Int Ophthalmol Date: 2013-09-17 Impact factor: 2.031