Health and Use of Time Group, School of Health Sciences, University of South Australia, Australia.
J Sci Med Sport. 2013 Sep;16(5):427-32. doi: 10.1016/j.jsams.2012.11.885. Epub 2012 Dec 28.
To describe time use clusters and correlate-cluster profiles of Australian youth.
Secondary analysis of cross-sectional national survey.
Data were from the National Children's Nutrition and Physical Activity Survey, a random sample (n=1853) of 9-16 years old Australians (February-August 2007). Time use data were collected using the Multimedia Activity Recall for Children and Adults, and collapsed into 17 age-adjusted variables for sex-specific cluster analysis. Cluster associations with socio-demographic, anthropometric, health and dietary variables were analysed.
For boys (n=930), the Social tasker cluster was characterised by social interaction and chores & work, the Techno-active cluster by team sport and TV and the Techno-studious cluster by video games and study. Average daily pedometer steps, age and remoteness were significant cluster correlates. For the girls (n=923), the Social screenie cluster was characterised by TV and social interaction, the Quiet actives cluster by quiet time and non-team sport and the Techno-studious cluster by video games and study. Pedometer steps, age, parental income and education, parent-child age difference, "extra foods", fat and fruit intakes were significant correlates.
Distinct sex-specific time use clusters and profiles exist among Australian youth. These findings may assist the development of targeted time use interventions to improve health and well-being.
描述澳大利亚青少年的时间利用聚类和关联聚类特征。
横断面全国调查的二次分析。
数据来自澳大利亚全国儿童营养和身体活动调查,这是一项针对 9-16 岁澳大利亚人的随机抽样调查(n=1853)(2007 年 2 月至 8 月)。时间利用数据采用儿童和成人多媒体活动回忆法收集,并按性别进行了 17 项年龄调整变量的聚类分析。分析了聚类与社会人口统计学、人体测量学、健康和饮食变量的关联。
对于男孩(n=930),社会任务聚类的特征是社会互动和家务劳动,技术活跃聚类的特征是团队运动和电视,技术勤奋聚类的特征是电子游戏和学习。平均每天计步器步数、年龄和偏远程度是显著的聚类相关因素。对于女孩(n=923),社会屏幕聚类的特征是电视和社会互动,安静活跃聚类的特征是安静时间和非团队运动,技术勤奋聚类的特征是电子游戏和学习。计步器步数、年龄、父母收入和教育程度、父母与子女的年龄差距、“额外食物”、脂肪和水果摄入量是显著的相关因素。
澳大利亚青少年存在不同的性别特异性时间利用聚类和特征。这些发现可能有助于制定有针对性的时间利用干预措施,以改善健康和福祉。