Poor vision among China's rural primary school students: Prevalence, correlates and consequences

Yi, Hongmei; Zhang, Linxiu; Ma, Xiaochen; Congdon, Nathan; Shi, Yaojiang; Pang, Xiaopeng; Zeng, Junxia; Wang, Lei; Boswell, Matthew; Rozelle, Scott

doi:10.1016/j.chieco.2015.01.004

Cited by 52 publications

(50 citation statements)

References 34 publications

(7 reference statements)

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“…Whether the overall VI rate or mild, moderate-severe VI rates, the results of female group were significantly higher than those of male group. This is consistent with previous research results [23][24][25]. Although there is no direct evidence to prove the causes of this difference, according to other studies, we guessed that it may be affected by the following factors: We think the most important factor is that Chinese girls tend to be gentle and quiet under the traditional concept.…”

Section: Discussionsupporting

confidence: 90%

“…Due to the limited conditions, the data in other years cannot be supplemented, so the results of trend analysis are for reference only. 2) Family, school and other related associated factors [24,39,44] were not included in this research, and the impacts of schools' and families' differences among districts on VI cannot be verified. The above problems need further study.…”

Section: Discussionmentioning

confidence: 99%

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Regional trends and associated factors of childhood visual impairment: a case study in Shandong province, China

Han

Jia²,

Wang³

2020

Preprint

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Background Visual impairment is a common child health problem. We hopes to analyze the regional trend, related factors and spatial distribution of children's visual impairment in Shandong province, to explore the spatial changes brought by time and their influencing factors, so as to provide scientific basis for prevention of childhood visual impairment. Methods This study covers 5 complete cross-sectional surveys (Physical examination data in Shandong province) from 2013 to 2017, involving about 29.24 million students. The 11th International Classification of Diseases was selected as the diagnostic standard. Spatial autocorrelation and hotspot analysis methods in ArcGIS software were used to analyze spatial features. The associated factors were analyzed by multinomial logistic regression. Results The visual impairment prevalence showed a trend of decreasing first and then increasing from 2013–2017, with slight changes. In terms of regional spatial differences, Weihai and Yantai have the highest VI rates in all years, and there was a large-scale spatial aggregation phenomenon. The southern low-value clusters, however, showed a weakening year by year. Further exploration revealed that the per capita disposable income of rural households, the growth rate of gross domestic product, total retail sales of consumer goods and number of full-time teachers were verified as risk factors for regional visual impairment levels. Conclusions The slight rebound of the prevalence of visual impairment and the high rate in the eastern and northern regions of Shandong province need more attention. It is suggested that relevant departments should focus on the influence of regional economic and educational factors when formulating relevant strategies.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Regional trends and associated factors of childhood visual impairment: a case study in Shandong province, China

Han

Jia²,

Wang³

2020

Preprint

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“…Although not covered in this paper, the literature is beginning to document several serious problems that still plague rural communities. Despite the increased investment into facilities and teachers in poor rural areas at the primary and lower secondary schooling levels (which have been successful in raising school performance—Chu et al ; Loyalka et al ), there are still serious nutrition and health (including poor uncorrected myopia) problems that are negatively affecting learning in rural schools (Yi et al ; Wang et al ; Wang et al ; Ma et al ; Luo et al ; Yue et al ). The same is true with even younger children.…”

Section: Discussionmentioning

confidence: 99%

Human Capital and the Middle Income Trap: How Many of China's Youth are Going to High School?

Lei

Abbey

et al. 2018

The Developing Economies

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The objective of this paper is to assess the nature of China's human capital. To achieve our objective, we both measure the share of the labor force that has attained upper secondary schooling levels (high school) as well as examine recent trends of 15–17 year olds who are attending high school. Using two sets of national representative data, we are able to show that, while the human capital of China's labor force is still low (30%), between 2005 and 2015 the share of rural youth who attended high school rose sharply. According to Ministry of Education–reported statistics, in 2015 87% of 15–17 year olds were attending high school, up from around 50% in 2005. Given the recent pronouncements of the government to make high school universal by 2020, the challenges for the education system are to increase the attendance of rural as well as vocational education and training students.

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“…This is consistent with previous research results. [23][24][25] Although there is no direct evidence to prove the causes of this difference, according to other studies, we guessed that it may be affected by the following factors: We think the most important factor is that Chinese girls tend to be gentle and quiet under the traditional concept. Whether in study or sports, girls will spend more time indoors than boys.…”

Section: Discussionmentioning

confidence: 94%

Regional Trends and Associated Factors of Childhood Visual Impairment: A Case Study in Shandong Province, China

Han

Jia

Wang³

2020

Preprint

View full text Add to dashboard Cite

Background: Visual impairment is a common child health problem. We hopes to analyze the regional trend, related factors and spatial distribution of children's visual impairment in Shandong province, to explore the spatial changes brought by time and their influencing factors, so as to provide scientific basis for prevention of childhood visual impairment.Methods: This study covers five complete cross-sectional surveys (Physical examination data in Shandong province) from 2013 to 2017, involving about 29.24 million students. The 11th International Classification of Diseases was selected as the diagnostic standard. Spatial autocorrelation and hotspot analysis methods in ArcGIS software were used to analyze spatial features. The associated factors were analyzed by multinomial logistic regression.Results: The visual impairment prevalence showed a trend of decreasing first and then increasing from 2013-2017, with slight changes. In terms of regional spatial differences, Weihai and Yantai have the highest VI rates in all years, and there was a large-scale spatial aggregation phenomenon. The southern low-value clusters, however, showed a weakening year by year. Further exploration revealed that the per capita disposable income of rural households, the growth rate of gross domestic product, total retail sales of consumer goods and number of full-time teachers were verified as risk factors for regional visual impairment levels.Conclusions: The slight rebound of the prevalence of visual impairment and the high rate in the eastern and northern regions of Shandong province need more attention. It is suggested that relevant departments should focus on the influence of regional economic and educational factors when formulating relevant strategies.

show abstract

Poor vision among China's rural primary school students: Prevalence, correlates and consequences

Cited by 52 publications

References 34 publications

Regional trends and associated factors of childhood visual impairment: a case study in Shandong province, China

Regional trends and associated factors of childhood visual impairment: a case study in Shandong province, China

Human Capital and the Middle Income Trap: How Many of China's Youth are Going to High School?

Regional Trends and Associated Factors of Childhood Visual Impairment: A Case Study in Shandong Province, China

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