Anaby Dana, Law Mary, Coster Wendy, Bedell Gary, Khetani Mary, Avery Lisa, Teplicky Rachel
School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada.
School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada; CanChild Centre for Childhood Disability Research, McMaster University, Hamilton, Ontario, Canada.
Arch Phys Med Rehabil. 2014 May;95(5):908-17. doi: 10.1016/j.apmr.2014.01.005. Epub 2014 Jan 24.
To test the effect of personal and environmental factors on children's participation across 3 different settings (home, school, community); to ascertain the interrelations between these factors; and to propose and test 3 models, 1 for each setting, using structural equation modeling.
Survey, cross-sectional study, and model testing.
Web-based measures were completed by parents residing in North America in their home/community.
Parents (N=576) of children and youth with and without disabilities, (n=282 and n=294, respectively), ages 5 to 17 years (mean age, 11y 2mo), completed the Participation and Environment Measure for Children and Youth (PEM-CY).
Not applicable.
The PEM-CY measured levels of participation frequency and involvement, as well as environmental barriers and supports of participation, in each of the following 3 settings: home, school, and community. Information about the child's health condition and functional issues was also collected.
All 3 models fit the data well (comparative fit index, .89-.97) and explained 50% to 64% of the variance of participation frequency and involvement. Environmental barriers and supports served as significant mediators between child/personal factors (income, health condition, functional issues) and participation outcomes, across all models. The effect of the environment was most pronounced, however, in the community setting.
Our findings highlight the unique role of the environment in explaining children's participation across different settings and, therefore, support the development of interventions targeting modifiable environmental factors.
测试个人因素和环境因素对儿童在三种不同环境(家庭、学校、社区)中参与度的影响;确定这些因素之间的相互关系;并使用结构方程模型提出并测试三个模型,每种环境一个模型。
调查、横断面研究和模型测试。
居住在北美的家长在其家中/社区通过网络完成测量。
5至17岁(平均年龄11岁2个月)有残疾和无残疾儿童及青少年的家长(分别为n = 282和n = 294)完成了儿童和青少年参与与环境测量(PEM-CY)。
不适用。
PEM-CY测量了以下三种环境(家庭、学校和社区)中每种环境下的参与频率和参与程度,以及参与的环境障碍和支持因素。还收集了有关儿童健康状况和功能问题的信息。
所有三个模型均与数据拟合良好(比较拟合指数,0.89 - 0.97),并解释了参与频率和参与程度方差的50%至64%。在所有模型中,环境障碍和支持因素在儿童/个人因素(收入、健康状况、功能问题)与参与结果之间起到了重要的中介作用。然而,环境的影响在社区环境中最为显著。
我们的研究结果突出了环境在解释儿童在不同环境中的参与度方面的独特作用,因此支持针对可改变的环境因素制定干预措施。