[Analysis of motor performance status in students of Han nationality in fifteen provinces in China].
OBJECTIVE
To analyze the motor performance status in students of Han nationality in fifteen provinces in china.


METHODS
Totally, 161 804 students of Han nationality aged from 7 to 18 years old were involved in the Chinese Surveillance on Students' Physical Fitness and Health in 2004. Motor abilities were accessed with the aid of gripping power, 50 m dash, standing long jump, and 1-min sit-ups. Based on general statistical description, principal component analysis and linear regression, the development characters of students' motor performance were explored.


RESULTS
This research showed some characters similar to those of last ones: motor capability was improved in correlation with age; boys did better than girls, the difference between 18 year-old rural boys and rural girls was 15.3 kg, -2.0 s, 58.6 cm, 8.7/min; the urban students performed better than the rural ones, the difference between 15 year-old urban boys and rural boys was 0.9 kg, -0.2 s, 3.5 cm, 3.5/min. The first principal component might represent the 4 tests greatly. Regression analysis on principal component quantitatively interpreted the influence of factors such as age, sex and area.


CONCLUSIONS
The general principles of exercise quality development of students are still in work. Principal component analysis should be adequate and convenient in motor performance analysis.
Zhao
De-cai
DC
Institute of Child and Adolescent Health, Peking University, Beijing 100083, China.
Ji
Cheng-ye
CY
Ma
Jun
J
Liao
Wen-ke
WK
Zhang
Bing
B
Hu
Pei-jin
PJ
D000293:Adolescent; D001824:Body Constitution; D015992:Body Mass Index; D002648:Child; D002681:China; D005260:Female; D006801:Humans; D008297:Male; D010806:Physical Education and Training; D010809:Physical Fitness; D011159:Population Surveillance / Q000379:methods; D012424:Rural Population / Q000706:statistics & numerical data; D013334:Students / Q000706:statistics & numerical data*; D014505:Urban Population / Q000706:statistics & numerical data