Research Article

[Retracted] Myopia in Chinese Adolescents: Its Influencing Factors and Correlation with Physical Activities

Table 2

Analysis of the correlation between physical activity and myopia.

ParameterGroupsMyopia rate
Nonmyopia groupMyopia group

Regular physical activitiesNo10927271.40%11.1900.001
Yes8411457.60%
FootballRarely13529968.90%3.8690.049
Occasionally588760.00%
BasketballRarely7919471.10%4.4910.034
Occasionally11419262.70%
Ping pangRarely11228371.60%13.866<0.001
Occasionally8110356.00%
Track and fieldRarely7518671.30%4.5200.033
Occasionally11820062.90%
SwimmingRarely11227170.80%8.5190.004
Occasionally8111558.70%
TennisRarely12728569.17%4.0440.044
Occasionally6610160.48%
BadmintonRarely8220671.50%6.0930.014
Occasionally11118061.90%
VolleyballRarely6818072.58%6.8280.009
Occasionally12520662.24%
DanceRarely5414372.60%4.7130.030
Occasionally13924363.60%
Attitude to physical education #4 (3~4)3 (3~4)-3.2840.001
 Negative9613434.70%
 Indifferent276416.60%
 Positive5815740.70%
 Very positive12318.00%
Daily time spent on in-school physical activities #2 (1~3.5)3 (2~4)-5.074<0.001
 <20 minutes4811128.80%
 20-40 minutes2911329.30%
 40-60 minutes4312331.90%
 >60 minutes733910.10%
After-school physical activities #3 (2~4)3 (2~4)-2.2090.027
 Rarely7211630.10%
 Occasionally469223.80%
 Sometimes6112732.90%
 Often145113.20%
Eye exercises #2 (1~3)1 (1~2)-3.4530.001
 Never8421756.20%
 Rarely5110727.70%
 Occasionally42369.30%
 Often16266.70%

Factors ending with # are not normally distributed according to the results of the SW normality test.