compendium of physical activities 2016 taylor code

#Compendium of physical activities 2016 taylor code trial#
#Compendium of physical activities 2016 taylor code series#

It is suggested that too much SB increases the risk of cardiovascular disease, type II diabetes, and metabolic syndrome. For example, short duration of sleep is associated with a higher risk of developing coronary heart disease, stroke, type II diabetes, and certain types of cancer. Sleep, sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) are activity-based behaviours associated with a range of health outcomes. Future studies should test the applicability of the classification system by applying it to empirical data. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Conclusionsīased on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories.

The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups ( n = 143).

#Compendium of physical activities 2016 taylor code trial#

Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. ResultsĬonsensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels.

#Compendium of physical activities 2016 taylor code series#

A series of Delphi survey rounds were repeated until a consensus among all experts was reached. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005.

We classified activities from the Trial ICATUS 2005 and final ICATUS 2016. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations however, these activities are not classified in a way that makes such analysis feasible. Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities.