| ObjectiveThe study explores the epidemiological characteristics and growth trend of poor eyesight among 7-and 18-year-old Chinese students from 1985 to 2014,based on data of students’ physique and health;In addition,it intends to comprehensively evaluate the poor eyesight of some minority students in 2005 and 2014 by using rank sum ratio method,TOPSIS(technique for order preference by similarity to an ideal solution)method and fuzzy combination method,so as to provide scientific basis for the prevention and control of poor eyesight.MethodsThe Han students aged 7-18 were selected as the research object by collecting the investigation data of national students’ physique and health in 1985,2000 and 2014.The present situation of poor vision of Chinese Han students in three cross-sectional surveys was analyzed.The changing trends of different years,genders,urban and rural areas were analyzed,and the differences in the detection rate of poor vision such as sex,urban and rural areas and age were compared by χ2 test.The statistical map of poor vision detection rate was drawn by Arc GIS and the changing trend of poor vision in the past 30 years from 1985 to 2014 were described.The curve fitting method was used to establish the growth rate curve model of the detection rate of poor eyesight of students,and the peak height and peak age change trend of different years,gender,urban and rural curves were compared;RSR method,TOPSIS method and fuzzy combination method were used to comprehensively evaluate the poor eyesight of some minority students aged 7-18 in 2005 and 2014,and their comprehensive evaluation effect was compared.Results1.In 1985,2000,and 2014,the detection rates of poor eyesight among Han students aged7-18 were 7.92-53.28%,19.96%-75.56%,and 30.55%-83.92%.The three surveys in 1985,2000 and 2014 showed that urban girls > urban boys > rural girls > rural boys.In addition,the detection rate of poor vision increased with age,and severe poor vision increased with age.The difference in the detection rate of poor eyesight among urban and rural students in 1985,2000 and 2014 was 18.2%,14.4% and 10.12%,respectively.The difference was statistically significant.The detection rate of poor eyesight among 7-18-year-old students in different provinces,autonomous regions and municipalities is uneven,Shanghai was a high-prevalence area in 1985,Zhejiang Province was located in a high-prevalence area in 2000,and 28 provinces and cities were located in high-prevalence areas by 2014.The number of lowprevalence areas with poor vision gradually decreased from 23 in 1985 to 13 in 2000,and there was no low-prevalence areas in 2014.The high-growth area increased from 1 province and city in the previous 1985-2000 to 26 provinces and cities in 2000-2014.2.The detection rate of poor vision among 7-and 18-year-old Han students in China showed an upward trend from 1985 to 2014,which was 28.66%,49.52% and 62.20%,respectively.The overall detection rate of poor vision increased by 33.54%,with an increase of116.7%.3.The growth rate of poor vision was parabolic from 1985 to 2014.The peak age of poor vision growth rate of Chinese Han students in 1985,2000 and 2014 was 13 years old,14 years old and 10 years old,respectively.Compared with 1985,the peak age of poor vision growth rate in 2000 was delayed by 1 year,and that in 2014 was 4 years earlier than that in 2000.4.RSR has a wide range of application,which can comprehensively evaluate and classify a number of indicators,which is more intuitive.However,directly taking rank for evaluation will lose part of the information.The TOPSIS method can make full use of the original data and is easily affected by the extreme values.The fuzzy combination method complements the advantages of the two methods,strengthens the scope of application,makes full use of the original data,makes up for the influence of the extreme values,and chooses the results with the same overall trend according to the principle of majority selection.The comprehensive evaluation results of Hani,Lisu,Mongolian,Tujia and Miao ethnic groups increased significantly in the comprehensive evaluation results of RSR and TOPSIS fuzzy joint method from 2005 to 2014.The fuzzy combination method has higher sensitivity and more accurate analysis results,which is more suitable for comprehensive evaluation of the distribution of poor vision.However,those of Kirgiz,Naxi,Zhuang,Salar and Qiang ethnic groups decreased significantly,and the other ethnic groups did not change much.Conclusion1.In 1985,2000 and 2014,the detection rate of poor eyesight among 7-18 years old Han students showed the following characteristics: urban female > urban male > rural female > rural male,higher education group was higher than lower education group,and high prevalence area was increasing.Urban girls and pre-puberty students were the key groups of intervention.2.From 1985 to 2014,the detection rate of poor eyesight of 7-18 years old Han students showed a gradual upward trend,and the peak age of poor eyesight growth rate was in advance continuously.3.RSR method does not make full use of the data,TOPSIS method is easily affected by extreme values,and fuzzy combination method complements the advantages of the two methods and has higher sensitivity,which is more suitable for the comprehensive evaluation of poor vision.4.The situation of prevention and control of poor eyesight of Kirgiz,Naxi,Zhuang,Salar and Qiang students should be paid high attention to. |
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