Diurnal pattern of physical activity and adherence to physical activity
Principal Investigator
Name
Tongyu Ma
Degrees
Ph.D.
Institution
Franklin Pierce University
Position Title
Assistant Professor
Email
About this CDAS Project
Study
IDATA
(Learn more about this study)
Project ID
IDATA-57
Initial CDAS Request Approval
Oct 3, 2022
Title
Diurnal pattern of physical activity and adherence to physical activity
Summary
It has been proposed that morning is the most promising time of day to develop and maintain long-term physical activity habits. A study among bariatric surgery candidates found that patients who choose to perform physical activity primarily in the morning are more likely to succeed in behavior change and more likely to meet the guideline-recommended level of physical activity (Bond et al., 2017). In an accelerometer-based study, participants who accumulated more than half of their physical activity in the morning were significantly more active than those who did in the evening (Schumacher et al., 2019). Similarly, evidence from clinical trials also suggests that participants who attend morning sessions had higher adherence to exercise training and better weight loss outcomes (Brooker et al., 2019; Alizadeh et al., 2017)
Most existing evidence comes from cross-section accelerometer data or short-term interventional studies without objective measures of physical activity outside of the trial protocol. There is a lack of longitudinal evidence based on objectively measured physical activity to investigate whether the time of day of physical activity accumulation is associated with long-term physical activity maintenance.
In the IDATA Study, physical activity was measured at baseline and at six months using ActiGraph. We hypothesize that the diurnal pattern of physical activity at baseline is associated with the physical activity consistency between the two measures. Furthermore, we hypothesize that the highest consistency will be observed in individuals who are primarily active in the morning.
In a previous study conducted by our group, we developed an innovative, machine learning-based approach for identifying diurnal patterns of physical activity, which is a useful tool to examine our proposed hypotheses. If proven true, our findings are expected to provide new insights into the baseline physical activity measures in cohort studies and provide important clinical implications for physical activity promotion.
Alizadeh et al., 2017; https://doi.org/10.1111/cob.12187
Bond et al., 2017; https://doi.org/10.1123/jpah.2016-0529
Brooker et al., 2019; https://doi.org/10.1016/j.conctc.2019.100320
Schumacher et al., 2019; https://doi.org/10.1002/oby.22535
Most existing evidence comes from cross-section accelerometer data or short-term interventional studies without objective measures of physical activity outside of the trial protocol. There is a lack of longitudinal evidence based on objectively measured physical activity to investigate whether the time of day of physical activity accumulation is associated with long-term physical activity maintenance.
In the IDATA Study, physical activity was measured at baseline and at six months using ActiGraph. We hypothesize that the diurnal pattern of physical activity at baseline is associated with the physical activity consistency between the two measures. Furthermore, we hypothesize that the highest consistency will be observed in individuals who are primarily active in the morning.
In a previous study conducted by our group, we developed an innovative, machine learning-based approach for identifying diurnal patterns of physical activity, which is a useful tool to examine our proposed hypotheses. If proven true, our findings are expected to provide new insights into the baseline physical activity measures in cohort studies and provide important clinical implications for physical activity promotion.
Alizadeh et al., 2017; https://doi.org/10.1111/cob.12187
Bond et al., 2017; https://doi.org/10.1123/jpah.2016-0529
Brooker et al., 2019; https://doi.org/10.1016/j.conctc.2019.100320
Schumacher et al., 2019; https://doi.org/10.1002/oby.22535
Aims
1. To explore the diurnal patterns of physical activity among free-living individuals.
2. To investigate to what extent participants maintain a similar diurnal pattern of physical activity over time.
3. To compare the adherence to physical activity between individuals with different diurnal patterns of physical activity.
Collaborators
John R Sirard, Ph.D. FACSM, Associate Professor, Department of Kinesiology, University of Massachusetts Amherst