TY - JOUR
T1 - An exploratory analysis of active and low energy behaviour in Australian adolescents
AU - Roydhouse, Jessica K.
AU - Allman-Farinelli, Margaret
AU - McGeechan, Kevin
AU - Ferrar, Katia
AU - Olds, Timothy
PY - 2012
Y1 - 2012
N2 - Adolescents engage in a complex range of low energy-consuming and active behaviours not easily captured by single behavioural measures. This study aims to describe the associations among adolescent active and low energy behaviours. Data were obtained from adolescents aged 12-16 years (n=1532) participating in a nationally representative survey. Thirty-nine variables measuring activities were stratified by sex and age and then analysed using principal components analysis with Varimax rotation. Four components were derived for younger girls (21.7% of the variance) and younger boys (20.2%), six for older girls (29.7%) and five for older boys (25.6%). Academic-related behaviours positively correlated with each other and negatively with television use for all agesex groups. Computer use correlated positively with academic-related behaviours for older boys but negatively with active behaviours for younger boys and girls. Active behaviours correlated positively with each other. For older girls, low energy expenditure, household-based behaviours were negatively correlated with active behaviours. Computer use appears to differ across age groups, and leisure and academic use should be differentiated. The positive associations among different active behaviours and their negative associations with home-based, low energy expenditure behaviours are of interest for intervention development.
AB - Adolescents engage in a complex range of low energy-consuming and active behaviours not easily captured by single behavioural measures. This study aims to describe the associations among adolescent active and low energy behaviours. Data were obtained from adolescents aged 12-16 years (n=1532) participating in a nationally representative survey. Thirty-nine variables measuring activities were stratified by sex and age and then analysed using principal components analysis with Varimax rotation. Four components were derived for younger girls (21.7% of the variance) and younger boys (20.2%), six for older girls (29.7%) and five for older boys (25.6%). Academic-related behaviours positively correlated with each other and negatively with television use for all agesex groups. Computer use correlated positively with academic-related behaviours for older boys but negatively with active behaviours for younger boys and girls. Active behaviours correlated positively with each other. For older girls, low energy expenditure, household-based behaviours were negatively correlated with active behaviours. Computer use appears to differ across age groups, and leisure and academic use should be differentiated. The positive associations among different active behaviours and their negative associations with home-based, low energy expenditure behaviours are of interest for intervention development.
KW - exercise
KW - survey
KW - use of time
KW - youth
UR - http://www.scopus.com/inward/record.url?scp=84864973684&partnerID=8YFLogxK
U2 - 10.1071/PY11115
DO - 10.1071/PY11115
M3 - Article
C2 - 23069369
AN - SCOPUS:84864973684
SN - 1448-7527
VL - 18
SP - 248
EP - 257
JO - Australian Journal of Primary Health
JF - Australian Journal of Primary Health
IS - 3
ER -