首页> 外文期刊>American journal of health behavior >Factor Analysis Test of an Ecological Model of Physical Activity Correlates
【24h】

Factor Analysis Test of an Ecological Model of Physical Activity Correlates

机译:物理活动生态模型的因子分析试验相关

获取原文
获取原文并翻译 | 示例
           

摘要

Objectives: The fit of measured variables into a social-ecological model of correlates of physical activity is rarely tested. In this study, we examined the factor structure of correlates of moderate/vigorous physical activity (MVPA) within a hypothesized social-ecological model.Methods: We measured 46 possible personal, social and environmental correlates of MVPA in 2779 adolescents participating in the Project EAT-2010 study. Confirmatory (CFA) and exploratory factor analyses (EFA) were used to determine the factor structure. Associations of factor scoreswith self-reported MVPA were calculated with linear regression. Results: A 6-factor CFA model did not show adequate fit. Eight factors were identified using EFA (Root Mean Square Error [RMSEA] 90% CI: 0.053 to 0.055; CFI = 0.82). A factor representing the mix of personal and socialcorrelates showed the strongest association with MVPA. Conclusions: The 8-factor model supports independent clustering of possible environmental correlates of MVPA, but indicates that social and personal correlates may not cluster independently. The factor most strongly correlated withMVPA represented a mix of personal and social correlates. Future work will be needed to better understand how mechanisms for developing physical activity work within and across levels of the social-ecological framework.
机译:目的:测量变量符合物理生态学模型的相关性,很少进行测试。在这项研究中,我们检查了在假设的社会生态模型中的中度/剧烈体力活动(MVPA)相关的因子结构。 -2010研究。确认(CFA)和探索因子分析(EFA)用于确定因子结构。因子评分和自我报告的MVPA的关联用线性回归计算。结果:6因素CFA型号没有表现出足够的合适。使用EFA鉴定了八种因素(均均线误差[RMSEA] 90%CI:0.053至0.055; CFI = 0.82)。代表个人和社交系列混合的因素显示出与MVPA最强的关联。结论:8因素模型支持独立聚类的MVPA可能的环境相关性,但表明社会和个人相关性可能不会独立聚类。与MVPA最强烈相关的因素代表了个人和社会相关的混合。将需要未来的工作以更好地了解社会生态框架内部和跨越社会生态框架的体育活动的机制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号