TESTING SELF-REPORT TIME-USE DIARIES AGAINST OBJECTIVE INSTRUMENTS IN REAL TIME

TESTING SELF-REPORT TIME-USE DIARIES AGAINST OBJECTIVE INSTRUMENTS IN REAL TIME
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DOI:
10.1177/0081175019884591
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发表时间:
2020-01-01
期刊:
SOCIOLOGICAL METHODOLOGY, VOL 50
影响因子:
--
通讯作者:
Foster, Charlie
Foster, Charlie
中科院分区:
其他
文献类型:
--
作者:
Gershuny, Jonathan;Harms, Teresa;Foster, Charlie

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这项研究提供了对时间使用日记方法的新测试,将日记与一对客观标准测量进行比较:可穿戴相机和加速度计。受访者志愿者样本 (n = 148) 使用标准英国欧洲统一时间使用研究 (HETUS) 工具完成了传统的自我报告纸质时间使用日记。在日记当天,受访者佩戴了一个摄像头,连续记录他们在清醒时间的活动图像(大约 1,500-2,000 张图像/天),还佩戴了一个加速度计,在日记涵盖的 24 小时内连续跟踪他们的身体活动。在最初招募的 148 名参与者中,131 人返回了可用的日记和相机记录,其中 124 人还提供了可用的全天加速度计记录。日记数据与相机和加速度计记录的比较有力地支持了日记方法在总体(样本)和个人层面的使用。它提供的证据表明,时间使用数据可用于补充身体活动调查问卷,以提供人口水平的身体活动估计。它还意味着使用大规模、具有人群代表性的时间使用日记研究来研究校准任务代谢当量 (MET) 归因于日常活动的技术的新机会。
This study provides a new test of time-use diary methodology, comparing diaries with a pair of objective criterion measures: wearable cameras and accelerometers. A volunteer sample of respondents (n = 148) completed conventional self-report paper time-use diaries using the standard UK Harmonised European Time Use Study (HETUS) instrument. On the diary day, respondents wore a camera that continuously recorded images of their activities during waking hours (approximately 1,500-2,000 images/day) and also an accelerometer that tracked their physical activity continuously throughout the 24-hour period covered by the diary. Of the initial 148 participants recruited, 131 returned usable diary and camera records, of whom 124 also provided a usable whole-day accelerometer record. The comparison of the diary data with the camera and accelerometer records strongly supports the use of diary methodology at both the aggregate (sample) and individual levels. It provides evidence that time-use data could be used to complement physical activity questionnaires for providing population-level estimates of physical activity. It also implies new opportunities for investigating techniques for calibrating metabolic equivalent of task (MET) attributions to daily activities using large-scale, population-representative time-use diary studies.