Multinational Time Use Survey MET Score Linkage Pilot Project

在本项目中，风险因素监测和方法分支处（RFMMB）希望确定将能源支出计量分配给多国时间使用调查的统一时间使用调查活动变量的可行性。能量消耗将被指定为任务代谢当量（MET）评分。MET评分是给定任务期间的代谢率与参考代谢率（3.5ml 02-kg-1）的比率。MET评分范围从~1（久坐活动，如睡眠或看电视）到20+（快速跑步或其他高强度活动）。这项工作将利用三个国家的数据进行。如果数据收集工作能够按上述方法完成，一个更大的项目可以为24个不同国家跨越40年的部分或全部MTUS数据集分配MET分数。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。活动代码包括多个活动，其中一些活动具有不同的能量消耗水平。为了给每项活动确定一个有效的能源支出水平，该项目将把MET分数与最初的具体国家时间使用调查活动中的基本活动相匹配，然后根据具体国家对不同组成部分活动所花时间的估计，对MET分数进行加权平均。项目工作人员将对所得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，以评估研究数据的表面和收敛效度。此外，与人口亚组的能量消耗的估计水平与ATUS-MET评分链接（包括更多活动代码）产生的能量消耗水平进行比较，将深入了解拟议估计程序的有效性。

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.