Wong Monica, Olds Tim, Gold Lisa, Lycett Kate, Dumuid Dorothea, Muller Josh, Mensah Fiona K, Burgner David, Carlin John B, Edwards Ben, Dwyer Terence, Azzopardi Peter, Wake Melissa
Melbourne School of Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.
Murdoch Childrens Research Institute, Parkville, Victoria, Australia.
Pediatrics. 2017 Jul;140(1). doi: 10.1542/peds.2016-3656. Epub 2017 Jun 1.
To describe 24-hour time-use patterns and their association with health-related quality of life (HRQoL) in early adolescence.
The Child Health CheckPoint was a cross-sectional study nested between Waves 6 and 7 of the Longitudinal Study of Australian Children. The participants were 1455 11- to 12-year-olds (39% of Wave 6; 51% boys). The exposure was 24-hour time use measured across 259 activities using the Multimedia Activity Recall for Children and Adolescents. "Average" days were generated from 1 school and 1 nonschool day. Time-use clusters were derived from cluster analysis with compositional inputs. The outcomes were self-reported HRQoL (Physical and Psychosocial Health [PedsQL] summary scores; Child Health Utility 9D [CHU9D] health utility).
Four time-use clusters emerged: "studious actives" (22%; highest school-related time, low screen time), "techno-actives" (33%; highest physical activity, lowest school-related time), "stay home screenies" (23%; highest screen time, lowest passive transport), and "potterers" (21%; low physical activity). Linear regression models, adjusted for a priori confounders, showed that compared with the healthiest "studious actives" (mean [SD]: CHU9D 0.84 [0.14], PedsQL physical 86.8 [10.8], PedsQL psychosocial 79.9 [12.6]), HRQoL in "potterers" was 0.2 to 0.5 SDs lower (mean differences [95% confidence interval]: CHU9D -0.03 [-0.05 to -0.00], PedsQL physical -5.5 [-7.4 to -3.5], PedsQL psychosocial -5.8 [-8.0 to -3.5]).
Discrete time-use patterns exist in Australian young adolescents. The cluster characterized by low physical activity and moderate screen time was associated with the lowest HRQoL. Whether this pattern translates into precursors of noncommunicable diseases remains to be determined.
描述青春期早期的24小时时间使用模式及其与健康相关生活质量（HRQoL）的关联。
儿童健康检查点是一项嵌套在澳大利亚儿童纵向研究第6波和第7波之间的横断面研究。参与者为1455名11至12岁的儿童（占第6波的39%；51%为男孩）。暴露因素是使用儿童和青少年多媒体活动回忆法对259项活动进行测量得到的24小时时间使用情况。“平均”日由1个上学日和1个非上学日生成。时间使用集群通过对成分输入进行聚类分析得出。结果指标是自我报告的HRQoL（身体和心理社会健康[儿童生活质量量表]汇总得分；儿童健康效用9D[CHU9D]健康效用）。
出现了四个时间使用集群：“好学活跃型”（22%；与学校相关的时间最长，屏幕时间最短）、“技术活跃型”（33%；身体活动量最高，与学校相关的时间最短）、“宅家看屏幕型”（23%；屏幕时间最长，被动交通时间最短）和“闲逛型”（21%；身体活动量低）。在对先验混杂因素进行调整的线性回归模型中，与最健康的“好学活跃型”（均值[标准差]：CHU9D 0.84[0.14]，儿童生活质量量表身体维度86.8[10.8]，儿童生活质量量表心理社会维度79.9[12.6]）相比，“闲逛型”的HRQoL低0.2至0.5个标准差（均值差异[95%置信区间]：CHU9D -0.03[-0.05至-0.00]，儿童生活质量量表身体维度-5.5[-7.4至-3.5]，儿童生活质量量表心理社会维度-5.8[-8.0至-3.5]）。
澳大利亚青少年存在不同的时间使用模式。以低身体活动和适度屏幕时间为特征的集群与最低的HRQoL相关。这种模式是否会转化为非传染性疾病的先兆仍有待确定。
