Department of Health and Human Performance, University of Houston, 3875 Holman Street GAR 104, 77204-6015, Houston, TX, USA.
College of Nursing and Health Innovation, Arizona State University, 550 N 3rd Street, 85004, Phoenix, AZ, USA.
J Sch Health. 2022 Jan;92(1):92-98. doi: 10.1111/josh.13108. Epub 2021 Nov 18.
This study describes a method for harmonizing data collected with different tools to compute a rating of compliance with national recommendations for school physical activity (PA) and nutrition environments.
We reviewed questionnaire items from 84 elementary schools that participated in the Childhood Obesity Research Demonstration (CORD) project, which was 3 distinct childhood obesity prevention projects in 7 communities in California, Massachusetts, and Texas. Each project used tools specific to its programs, schools, and communities. While this approach increased the feasibility of data collection, it created a challenge with the need to combine data across projects. We evaluated all questionnaire items and retained only those items that assessed one or more recommendations and constructed several items to indicate compliance or noncompliance with the respective associated recommendations.
Ten constructed items covered 11 of the 20 recommendations. Analysis indicated that the scores detected variability in compliance both among communities and among school within communities.
The scores captured differences in compliance with the national recommendations at multiple levels. Our method, designed for creating common scores, may be useful in integrated data analysis, systematic reviews, or future studies requiring harmonizing of data collected via different tools.
本研究描述了一种协调使用不同工具收集的数据的方法，以计算对国家推荐的学校体育活动（PA）和营养环境的遵守程度的评分。
我们回顾了参与儿童肥胖研究示范（CORD）项目的 84 所小学的问卷项目，该项目是加利福尼亚州、马萨诸塞州和德克萨斯州 7 个社区的 3 个不同的儿童肥胖预防项目。每个项目都使用针对其项目、学校和社区的特定工具。虽然这种方法提高了数据收集的可行性，但需要跨项目合并数据，这带来了挑战。我们评估了所有问卷项目，仅保留了那些评估一个或多个建议的项目，并构建了几个项目来表示对相应建议的遵守或不遵守情况。
十个构建的项目涵盖了 20 项建议中的 11 项。分析表明，得分在社区之间和社区内的学校之间检测到了遵守情况的差异。
这些分数在多个层面上捕捉到了对国家建议的遵守程度的差异。我们设计的用于创建通用分数的方法可能对综合数据分析、系统评价或需要协调使用不同工具收集的数据的未来研究有用。
