Projects & Grants

Internal Grant Competition DGC
START-UP grant

Objective and self-report methods used for the assessment of health behaviors: sleep, physical activity and sedentary behavior
Project IdSGS15/PdF/2023
Main solverMgr. Lenka Knapová, Ph.D.
Period1/2023 - 12/2023
ProviderSpecifický VŠ výzkum
AnotationPhysical activity, sedentary behavior and sleep are among the main health behaviors that form the 24-hour cycle. Sufficient physical activity, low levels of sedentary behavior and quality sleep have a major impact on physical and mental health and quality of life (Ross et al., 2020; WHO, 2020). Moreover, these behaviors interact and contribute to the overall outcome for human health. Sleep duration, quality, and variability are related to cognitive and cardiometabolic health in children and adults (Mattriciani et al., 2019; Watson et al., 2015). Sleep deprivation can also have major impacts on wider society due to reduced productivity (Rajaratnam & Arendt, 2001). Higher levels of physical activity were associated with better sleep (Kredlow et al., 2015). However, there is a large percentage of adults who do not meet the physical activity recommendations (WHO, 2018). Physical activity is also related to sedentary behavior, the levels of which are high in developed countries (Panahi & Tremblay, 2018). Excessive sedentary behavior may also be present in individuals who meet physical activity recommendations (e.g., active runners) and may pose a health risk nevertheless (Ekelund et al., 2019). Therefore, in addition to physical activity, attention should be paid to the overall level of sedentary behavior. Reported levels of physical activity, sedentary behavior and sleep in the population vary depending on whether objective (sensors) or subjective (questionnaires) methods are used to measure it (Evenson et al., 2015;Troiano et al., 2008;Reilly et al., 2008;Rowe et al., 2008), further complicating the formulation of recommendations for the population (Troiano et al., 2020) and individuals. It is important to consider the specifics of objective and subjective measures of health behaviors and to explore the relationships between these behaviors, which will allow for the development of more effective recommendations and better assessment of evidence across the age spectrum.