Clinical Trials Research Unit, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland.
Int J Behav Nutr Phys Act. 2009 Mar 30;6:19. doi: 10.1186/1479-5868-6-19.
: This study sought to integrate perceived and built environmental and individual factors into the Theory of Planned Behavior (TPB) model to better understand adolescents' physical activity.
Participants (n = 110) aged 12 to 17 years (M = 14.6 +/- 1.55) were recruited from two large metropolitan high schools in Auckland, New Zealand, were included in the analysis. Participants completed measures of the revised TPB and the perceived environment. Individual factors such as ethnicity and level of deprivation were also collected. Geographical Information Systems (GIS) software was used to measure the physical environment (walkability, access to physical activity facilities). Physical activity was assessed using the ActiGraph accelerometer and the Physical Activity Questionnaire for Adolescents (PAQ-A). Data from the various sources were combined to develop an integrated model integrated for statistical analysis using structural equation modeling.
The TPB model variables (intention and perceived behavioral control) explained 43% of the variance of PAQ-A. Unique and individual contributions were made by intention and PBC and home ownership of home equipment. The model explained 13% of time spent in moderate and vigorous physical activity (Actigraph). Unique and individual contribution was made by intention.
Social cognitive variables were better predictors of both subjective and objective physical activity compared to perceived environmental and built environment factors. Implications of these findings are discussed.
：本研究旨在将感知环境和构建环境因素以及个体因素纳入计划行为理论（TPB）模型，以更好地理解青少年的身体活动。
参与者（n=110）年龄在 12 至 17 岁之间（M=14.6±1.55），来自新西兰奥克兰的两所大型城市高中，被纳入分析。参与者完成了修订后的 TPB 及其感知环境的测量。还收集了个体因素，如种族和贫困程度。地理信息系统（GIS）软件用于测量物理环境（可步行性、体育活动设施的可达性）。使用加速度计和青少年体力活动问卷（PAQ-A）评估身体活动。来自各种来源的数据被组合起来，以使用结构方程建模进行统计分析。
TPB 模型变量（意图和感知行为控制）解释了 PAQ-A 的 43%的方差。意图和 PBC 以及家庭拥有家庭设备的所有权做出了独特的个体贡献。该模型解释了中度和剧烈体力活动（加速度计）的 13%时间。意图做出了独特的个体贡献。
与感知环境和构建环境因素相比，社会认知变量更好地预测了主观和客观的身体活动。讨论了这些发现的意义。
