TY - JOUR
T1 - Association of Visual Impairment with Economic Development among Chinese Schoolchildren
AU - Jan, Catherine
AU - Xu, Rongbin
AU - Luo, Dongmei
AU - Xiong, Xiuqin
AU - Song, Yi
AU - Ma, Jun
AU - Stafford, Randall S.
N1 - Funding Information:
supported by grant 81673192 from the National Natural Science Foundation (Dr Ma) and grant 201202010 from the Research Special Fund for Public Welfare Industry of Health (Dr Ma). Ms Jan is supported by the Chinese Government Scholarship from the China Scholarship Council for her research at Peking University.
Publisher Copyright:
© 2019 American Medical Association. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/7
Y1 - 2019/7
N2 - Importance: Few studies have reported the association of economic growth with trends of visual impairment in schoolchildren in China or elsewhere. Objectives: To describe 30-year trends and patterns in visual impairment in China and to explore the association between visual impairment and economic development. Design, Setting, and Participants: In this time series analysis of 7 successive cross-sectional surveys from 1985 to 2014, a total of 1951084 schoolchildren aged 7 to 18 years from all provinces and autonomous regions of mainland China, excluding Tibet, were studied. In 1985, the survey was conducted between March to June; In 1991-2014, the surveys were conducted between September and November. Data analysis was performed from April 1, 2018, to January 31, 2019. Exposures: The province-level gross domestic product (GDP) per capita was extracted from the China Statistical Yearbook. Main Outcomes and Measures: Visual impairment, defined as unaided distance visual acuity of worse than 6/7.5 (20/25 Snellen equivalent), and moderate to severe visual impairment, defined as unaided distance visual acuity of worse than 6/18 (20/63 Snellen equivalent), in the worse eye. Results: A total of 1951084 participants (mean [SD] age, 12.6 [3.4] years; 50.5% male) were included in the analysis. Among students aged 7 to 18 years, the prevalence of visual impairment increased from 23.7% (95% CI, 23.6%-23.8%) in 1985 to 35.1% (95% CI, 34.9%-35.3%) in 1995 to 55.0% (95% CI, 54.8%-55.3%) in 2014. In 2014, the prevalence was higher among girls (58.3%; 95% CI, 54.8%-55.3%) vs boys (51.8%; 95% CI, 51.5%-52.1%) (prevalence ratio [PR] girls vs boys, 1.12; 95% CI, 1.11-1.13) and among students living in urban (59.9%; 95% CI, 59.6%-60.2%) vs rural (50.2%; 95% CI, 49.9%-50.5%) areas (PR urban vs rural, 1.17; 95% CI, 1.16-1.18), although a more rapid relative increase in prevalence occurred in rural areas (15.3% in 1985 to 50.2% in 2014) than in urban areas (31.5% in 1985 to 59.9% in 2014). From 1995 to 2014, the GDP in China increased from $1263 to $7594 (in 2014 US$ constant price). After demographic characteristics (cluster effect of school, age, sex, urban vs rural location, and relative socioeconomic status within province) were adjusted for, the regression model revealed that every 100% increase in GDP was associated with a 20% (PR, 1.20; 95% CI, 1.20-1.21) increase in the relative risk of visual impairment and a 27% (PR, 1.27; 95% CI, 1.26-1.27) increase in the relative risk of moderate to severe visual impairment. The association was stronger in male (PR, 1.22; 95% CI, 1.21-1.23 for male [as reference] vs 1.19; 95% CI, 1.18-1.19 for female; P <.001), rural (PR, 1.32; 95% CI, 1.31-1.33 for rural [as reference] vs 1.12; 95% CI, 1.12,-1.33 for urban; P <.001), and younger age groups (PR, 1.27; 95% CI, 1.24-1.29 for 7-9 years of age [as reference] vs 1.34; 95% CI, 1.32-1.36 for 10-12 years of age; P <.001; 1.21; 95% CI, 1.20-1.22 for 13-15 years of age; P <.001; and 1.12; 95% CI, 1.11,-1.13 for 16-18 years of age; P <.001). Conclusions and Relevance: The rapid increase of visual impairment prevalence and the association between GDP and visual impairment over time suggest that further exacerbation of childhood visual impairment may occur as economic development continues in China..
AB - Importance: Few studies have reported the association of economic growth with trends of visual impairment in schoolchildren in China or elsewhere. Objectives: To describe 30-year trends and patterns in visual impairment in China and to explore the association between visual impairment and economic development. Design, Setting, and Participants: In this time series analysis of 7 successive cross-sectional surveys from 1985 to 2014, a total of 1951084 schoolchildren aged 7 to 18 years from all provinces and autonomous regions of mainland China, excluding Tibet, were studied. In 1985, the survey was conducted between March to June; In 1991-2014, the surveys were conducted between September and November. Data analysis was performed from April 1, 2018, to January 31, 2019. Exposures: The province-level gross domestic product (GDP) per capita was extracted from the China Statistical Yearbook. Main Outcomes and Measures: Visual impairment, defined as unaided distance visual acuity of worse than 6/7.5 (20/25 Snellen equivalent), and moderate to severe visual impairment, defined as unaided distance visual acuity of worse than 6/18 (20/63 Snellen equivalent), in the worse eye. Results: A total of 1951084 participants (mean [SD] age, 12.6 [3.4] years; 50.5% male) were included in the analysis. Among students aged 7 to 18 years, the prevalence of visual impairment increased from 23.7% (95% CI, 23.6%-23.8%) in 1985 to 35.1% (95% CI, 34.9%-35.3%) in 1995 to 55.0% (95% CI, 54.8%-55.3%) in 2014. In 2014, the prevalence was higher among girls (58.3%; 95% CI, 54.8%-55.3%) vs boys (51.8%; 95% CI, 51.5%-52.1%) (prevalence ratio [PR] girls vs boys, 1.12; 95% CI, 1.11-1.13) and among students living in urban (59.9%; 95% CI, 59.6%-60.2%) vs rural (50.2%; 95% CI, 49.9%-50.5%) areas (PR urban vs rural, 1.17; 95% CI, 1.16-1.18), although a more rapid relative increase in prevalence occurred in rural areas (15.3% in 1985 to 50.2% in 2014) than in urban areas (31.5% in 1985 to 59.9% in 2014). From 1995 to 2014, the GDP in China increased from $1263 to $7594 (in 2014 US$ constant price). After demographic characteristics (cluster effect of school, age, sex, urban vs rural location, and relative socioeconomic status within province) were adjusted for, the regression model revealed that every 100% increase in GDP was associated with a 20% (PR, 1.20; 95% CI, 1.20-1.21) increase in the relative risk of visual impairment and a 27% (PR, 1.27; 95% CI, 1.26-1.27) increase in the relative risk of moderate to severe visual impairment. The association was stronger in male (PR, 1.22; 95% CI, 1.21-1.23 for male [as reference] vs 1.19; 95% CI, 1.18-1.19 for female; P <.001), rural (PR, 1.32; 95% CI, 1.31-1.33 for rural [as reference] vs 1.12; 95% CI, 1.12,-1.33 for urban; P <.001), and younger age groups (PR, 1.27; 95% CI, 1.24-1.29 for 7-9 years of age [as reference] vs 1.34; 95% CI, 1.32-1.36 for 10-12 years of age; P <.001; 1.21; 95% CI, 1.20-1.22 for 13-15 years of age; P <.001; and 1.12; 95% CI, 1.11,-1.13 for 16-18 years of age; P <.001). Conclusions and Relevance: The rapid increase of visual impairment prevalence and the association between GDP and visual impairment over time suggest that further exacerbation of childhood visual impairment may occur as economic development continues in China..
UR - https://www.scopus.com/pages/publications/85065170211
U2 - 10.1001/jamapediatrics.2019.0914
DO - 10.1001/jamapediatrics.2019.0914
M3 - Article
C2 - 31058915
AN - SCOPUS:85065170211
SN - 2168-6203
VL - 173
JO - JAMA Pediatrics
JF - JAMA Pediatrics
IS - 7
M1 - 0914
ER -