Multinational Time Use Survey MET Score Linkage Pilot Project

在本项目中，风险因素监测和方法处（风险因素监测和方法处）希望确定将能源消耗措施分配给多国时间使用调查（MTUS）的协调时间使用调查活动变量的可行性。能量消耗将被分配为任务代谢当量（MET）分数。MET分数是给定任务期间代谢率与参考代谢率（3.5 ml 02-kg-1）的比值。静坐活动如睡眠或看电视的MET得分从~1到快速跑步或其他高强度活动的20+不等。这项工作将利用三个国家的数据进行。如果数据收集可以按照描述完成，那么一个更大的项目可以将MET分数分配给来自24个不同国家的部分或全部MTUS数据集，这些数据集跨越40年。这项工作是必要的，以详细解决一个关键的挑战，分配MET分数的MTUS活动代码。活动代码包括多种活动，其中一些活动具有不同的能量消耗水平。为了给每项活动分配一个有效的能量消耗水平，该项目将MET分数与原始国家特定时间使用调查活动的基础活动相匹配，然后根据国家对不同组成活动所花费时间的特定估计，对这些MET分数进行加权平均。项目工作人员将对结果数据进行描述性分析，并与特定领域的活动水平研究进行比较，以评估研究数据的正面有效性和收敛有效性。此外，将人口亚组的估计能量消耗水平与包含更多活动代码的ATUS-MET评分联系产生的能量消耗水平进行比较，将有助于深入了解所提议的估计程序的有效性。

In the present project Risk Factor Monitoring and Methods Branch (RFMMB) would like to determine the feasibility of assigning measures of energy expenditure to the harmonized time use survey activity variables from the Multinational Time Use Survey (MTUS). Energy expenditure will be assigned as Metabolic Equivalent of Task (MET) scores. The MET score is the ratio of metabolic rate during a given task to a reference metabolic rate (3.5 ml 02-kg-1). MET scores range from ~1 for sedentary activities such as sleep or television viewing to 20+ for fast running or other highly vigorous activities. This work will be carried out with data for three countries. If it collection of data can be completed as described, a larger project could assign MET scores to some or all of the MTUS data sets from 24 diverse countries spanning four decades. This work is necessary to address in detail one key challenge of assigning MET scores to the MTUS activity codes. The activity codes include multiple activities, some of which have different levels of energy expenditure. In order to assign a valid level of energy expenditure to each activity, the project will match MET scores to underlying activities from the original country specific time use survey activities and then take a weighted average of these MET scores based on country specific estimates of time spent in different component activities. Descriptive analysis of the resulting data as well as comparison with studies of activity levels in specific domains will be used by program staff to evaluate the face and convergent validity of the study data. Furthermore, comparison with the estimated levels of energy expenditure for population sub groups with those generated by the ATUS-MET score linkage which includes more activity codes will provide insight into the validity of the proposed estimation procedure.