Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK.
Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium.
Int J Behav Nutr Phys Act. 2018 Feb 26;15(1):21. doi: 10.1186/s12966-018-0652-x.
Sedentary behaviour is a public health concern that requires surveillance and epidemiological research. For such large scale studies, self-report tools are a pragmatic measurement solution. A large number of self-report tools are currently in use, but few have been validated against an objective measure of sedentary time and there is no comparative information between tools to guide choice or to enable comparison between studies. The aim of this study was to provide a systematic comparison, generalisable to all tools, of the validity of self-report measures of sedentary time against a gold standard sedentary time objective monitor.
Cross sectional data from three cohorts (N = 700) were used in this validation study. Eighteen self-report measures of sedentary time, based on the TAxonomy of Self-report SB Tools (TASST) framework, were compared against an objective measure of postural sitting (activPAL) to provide information, generalizable to all existing tools, on agreement and precision using Bland-Altman statistics, on criterion validity using Pearson correlation, and on data loss.
All self-report measures showed poor accuracy compared with the objective measure of sedentary time, with very wide limits of agreement and poor precision (random error > 2.5 h). Most tools under-reported total sedentary time and demonstrated low correlations with objective data. The type of assessment used by the tool, whether direct, proxy, or a composite measure, influenced the measurement characteristics. Proxy measures (TV time) and single item direct measures using a visual analogue scale to assess the proportion of the day spent sitting, showed the best combination of precision and data loss. The recall period (e.g. previous week) had little influence on measurement characteristics.
Self-report measures of sedentary time result in large bias, poor precision and low correlation with an objective measure of sedentary time. Choice of tool depends on the research context, design and question. Choice can be guided by this systematic comparative validation and, in the case of population surveillance, it recommends to use a visual analog scale and a 7 day recall period. Comparison between studies and improving population estimates of average sedentary time, is possible with the comparative correction factors provided.
久坐行为是一个公共卫生关注点,需要进行监测和流行病学研究。对于这种大规模的研究,自我报告工具是一种实用的测量解决方案。目前有大量的自我报告工具在使用,但很少有工具经过客观的久坐时间测量进行验证,也没有工具之间的比较信息来指导选择或实现研究之间的比较。本研究的目的是提供一个系统的比较,适用于所有工具,比较自我报告的久坐时间测量与黄金标准久坐时间客观监测器的有效性。
本验证研究使用了三个队列的横断面数据(N=700)。根据自我报告 SB 工具分类法(TASST)框架,比较了 18 种基于久坐时间的自我报告测量工具与客观的坐姿测量(activPAL),以提供信息,适用于所有现有工具,使用 Bland-Altman 统计数据比较一致性和精密度,使用 Pearson 相关系数比较标准效度,并比较数据丢失。
与客观的久坐时间测量相比,所有自我报告测量都显示出较差的准确性,一致性范围很宽,精密度较差(随机误差>2.5 小时)。大多数工具都低估了总久坐时间,与客观数据的相关性较低。工具使用的评估类型,无论是直接、代理还是综合测量,都会影响测量特性。代理测量(电视时间)和使用视觉模拟量表评估一天中坐着的比例的单一项目直接测量,显示出最佳的精密度和数据丢失组合。回忆期(例如前一周)对测量特性影响不大。
自我报告的久坐时间测量结果存在较大偏差、精密度差,与客观的久坐时间测量相关性低。工具的选择取决于研究背景、设计和问题。可以根据这项系统的比较验证来进行指导,在人群监测的情况下,建议使用视觉模拟量表和 7 天的回忆期。通过提供比较校正因子,可以比较研究之间的结果,并改善对平均久坐时间的人群估计。