{"title":"How does relative time in moderate-to-vigorous physical activity correspond to the 2020 guidelines on physical activity and sedentary behaviour?","authors":"Philip von Rosen","doi":"10.1186/s44167-023-00028-2","DOIUrl":null,"url":null,"abstract":"Abstract Background More and more researchers have started to analyse device-measured physical activity data using compositional data analysis (CoDA), which has led to that the effect of relative time in different behaviours can be explored. However, there are challenges related to the interpretation of the results based on CoDA. This is partly related to that CoDA provides estimates based on the relative time that is difficult to interpret relative to the 2020 guidelines of physical activity and sedentary behaviour. Since many data cohorts do not have data on sleep, the proportion of time in physical activity may vary depending on accelerometer wear time. Therefore, there is a need to explore cut-points for relative time to distinguish between individuals that do and do not reach 150–300 min of moderate-to-vigorous intensity physical activity (MVPA) per week. The aim was to establish a ratio of MVPA to awaken time that corresponds to meeting the 2020 guidelines of physical activity and sedentary behaviour in adults. Method To estimate the cut-off points of relative time in MVPA, the publicly available data from NHANES 2003–2004 was used and cut-off points were explored in different subsets of the total population. Values for sensitivity, specificity and cut-off values were explored; i) in total sample, ii) by tertiles of wear time, iii) in individuals with ± 5 min from 150 to 300 min of MVPA, iiii) in individuals with ± 5 min from 150 to 300 min of MVPA in the middle tertile of wear time. Results Overall, the analyses show high values for sensitivity (88–100%) and specificity (66–99%) for different cut-off values associated with 150–300 min of MVPA. Spending 2.4–4.7% of the time awake in MVPA was found to correspond to the 2020 guidelines of physical activity and sedentary behaviour. Conclusion Based on publicly available data from NHANES 2003–2004, spending 2.4–4.7% of time awake in MVPA corresponds to meeting the 2020 guidelines of physical activity and sedentary behaviour.","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of activity, sedentary and sleep behaviors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s44167-023-00028-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
Abstract Background More and more researchers have started to analyse device-measured physical activity data using compositional data analysis (CoDA), which has led to that the effect of relative time in different behaviours can be explored. However, there are challenges related to the interpretation of the results based on CoDA. This is partly related to that CoDA provides estimates based on the relative time that is difficult to interpret relative to the 2020 guidelines of physical activity and sedentary behaviour. Since many data cohorts do not have data on sleep, the proportion of time in physical activity may vary depending on accelerometer wear time. Therefore, there is a need to explore cut-points for relative time to distinguish between individuals that do and do not reach 150–300 min of moderate-to-vigorous intensity physical activity (MVPA) per week. The aim was to establish a ratio of MVPA to awaken time that corresponds to meeting the 2020 guidelines of physical activity and sedentary behaviour in adults. Method To estimate the cut-off points of relative time in MVPA, the publicly available data from NHANES 2003–2004 was used and cut-off points were explored in different subsets of the total population. Values for sensitivity, specificity and cut-off values were explored; i) in total sample, ii) by tertiles of wear time, iii) in individuals with ± 5 min from 150 to 300 min of MVPA, iiii) in individuals with ± 5 min from 150 to 300 min of MVPA in the middle tertile of wear time. Results Overall, the analyses show high values for sensitivity (88–100%) and specificity (66–99%) for different cut-off values associated with 150–300 min of MVPA. Spending 2.4–4.7% of the time awake in MVPA was found to correspond to the 2020 guidelines of physical activity and sedentary behaviour. Conclusion Based on publicly available data from NHANES 2003–2004, spending 2.4–4.7% of time awake in MVPA corresponds to meeting the 2020 guidelines of physical activity and sedentary behaviour.
背景越来越多的研究者开始使用成分数据分析(CoDA)来分析设备测量的身体活动数据,从而可以探索相对时间在不同行为中的影响。然而,基于CoDA的结果解释存在一些挑战。这在一定程度上与CoDA提供的基于相对时间的估计有关,相对于2020年的身体活动和久坐行为指南,这很难解释。由于许多数据队列没有睡眠数据,因此运动时间的比例可能会因加速度计佩戴时间的不同而变化。因此,有必要探索相对时间的临界值,以区分每周中等至高强度体力活动(MVPA)达到150-300分钟和未达到150-300分钟的个体。目的是建立一个MVPA与觉醒时间的比例,该比例符合2020年成人身体活动和久坐行为指南。方法利用2003-2004年NHANES公开数据,在不同人群中探索相对时间的分界点,估计MVPA相对时间的分界点。探讨敏感性、特异性和截止值的值;i)总样本,ii)磨损时间的分位数,iii)在150至300分钟的MVPA中±5分钟的个体,iii)在150至300分钟的MVPA中±5分钟的个体,磨损时间的中间分位数。结果总的来说,分析显示,对于与150-300 min MVPA相关的不同截止值,灵敏度(88-100%)和特异性(66-99%)很高。研究发现,在MVPA中,2.4-4.7%的清醒时间符合2020年的身体活动和久坐行为指南。根据NHANES 2003-2004的公开数据,在MVPA中花费2.4-4.7%的清醒时间符合2020年的身体活动和久坐行为指南。