Developmental trajectory of exercise among students from 7th to 12th grade
Date Issued
2011
Date
2011
Author(s)
Tsai, Ya-Ning
Abstract
Objectives: To investigate the patterns and relative factors of developmental trajectory of exercise for boys and girls from 7th to 12th grade. Methods: Dataset from Child and Adolescent Behavior in Long-term Evolution (CABLE) project was used for secondary analysis. Total of 1,662 students followed up from 7th to 12th grade (from 2004 to 2009) were included. Repeated-measures latent class analysis and multinomial logit model were used in the statistical analysis. Results: Boys had significantly higher exercise rate than girls from 7th to 12th grade. The boys’ exercise rate decreased significantly starting from senior high school, while the girls’ exercise rate decreased significantly earlier than boys’. The three-latent-class model had been selected for both boys and girls. There were three trajectory patterns of exercise for boys: persistent high (47.76%), high to low (22.29%), and persistent low (29.95%). There were also three trajectory patterns of exercise for girls: persistent high (24.20%), high to low (22.73%), and persistent low (53.07%). Developmental trajectory patterns of exercise of boys were significantly associated with body image, self-perceived health, academic pressure and parental marital status. Developmental trajectory patterns of exercise of girls were significantly associated with father’s education. Conclusions: The girls’ exercise rate is low from 7th to 12th grade and declines rapidly. Prevention and intervention should be initiated early in elementary school. It is necessary to develop different exercise promotion strategies for different trajectory subgroups. Boys who have low body image satisfaction, low self-perceived health level, and high academic pressure would incline to “persistent low” group. As a result, we should encourage the boys to cultivate exercise habit.
Subjects
exercise
developmental trajectory
adolescent
repeated-measures latent class analysis
longitudinal
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-100-R98845112-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):daa7ca2912af17c4783816a2a0de8663