TY - JOUR
T1 - The 24-Hour Activity Cycle
T2 - A New Paradigm for Physical Activity
AU - Rosenberger, Mary E.
AU - Fulton, Janet E.
AU - Buman, Matthew P.
AU - Troiano, Richard P.
AU - Grandner, Michael A.
AU - Buchner, David M.
AU - Haskell, William L.
N1 - Funding Information:
The 24-HAC model is proposed as a paradigm for research, intervention, and public health recommendations. The 24-HAC model provides a paradigm for extending research into how time should be divided among its four component activities so as to improve health. Thus, the model has the potential to extend public health guidance, beyond separate MVPA and sleep guidelines, to integrated guidance for sleep, sedentary behavior, LIPA, and MVPA. However, Figure 1 illustrates a research feedback loop that can be imagined with the 24-HAC. Future iterations of the 24-HAC could include metrics that occur as part of a daily cycle and affect disease outcomes in a population. Examples of these disciplines might include nutrition, circadian rhythms, timing of food intake and activity, alertness, stress, fatigue, and a range of other related state indicators. The 24-HAC may improve the understanding of pathophysiological mechanisms underlying the role of sleep, sedentary, and active behaviors and their combined role in the disease process. This model represents a new paradigm, but it is rooted in science developed in separate academic disciplines. After initially optimizing the 24-HAC for health outcomes, one could imagine a roadmap to better health that could be specific to populations, and even potentially to individuals. The promise of the 24-HAC model lies in an interdisciplinary approach to sleep, sedentary behavior, and physical activity research for optimal health in a way that directly addresses people’s daily activity patterns. In the future, the 24-HAC may be used to educate audiences, including researchers, policymakers, and health professionals; inform public health guidelines on how people can best distribute their activity across the 24-h cycle for optimal health and quality of life, and develop strategies to help individuals achieve this balance. The authors would like to acknowledge and thank Dr. John Staudenmeyer for his oral presentation at the International Conference on Ambulatory Monitoring of Physical Activity and Movement in Bethesda, MD, 2017. Additionally, the authors also thank Dr. Charles Matthews for his effort in organizing the 2017 ACSM symposium. M. A. G. is supported by a grant from the National Institute on Minority Health and Health Disparities (R01MD011600) and the Department of Defense (W81XWH-17-0088). The results of this review are presented clearly, honestly and without fabrication, falsification or inappropriate data manipulation. This review does not constitute endorsement by ACSM. The findings and conclusions of this report are those of the authors and do not necessarily represent the official position of the National Institutes of Health or the Centers for Disease Control and Prevention.
Publisher Copyright:
© 2019 by the American College of Sports Medicine.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - The physiologic mechanisms by which the four activities of sleep, sedentary behavior, light-intensity physical activity, and moderate-to-vigorous physical activity (MVPA) affect health are related, but these relationships have not been well explored in adults. Research studies have commonly evaluated how time spent in one activity affects health. Because one can only increase time in one activity by decreasing time in another, such studies cannot determine the extent that a health benefit is due to one activity versus due to reallocating time among the other activities. For example, interventions to improve sleep possibly also increase time spent in MVPA. If so, the overall effect of such interventions on risk of premature mortality is due to both more MVPA and better sleep. Further, the potential for interaction between activities to affect health outcomes is largely unexplored. For example, is there a threshold of MVPA minutes per day, above which adverse health effects of sedentary behavior are eliminated? This article considers the 24-h Activity Cycle (24-HAC) model as a paradigm for exploring inter-relatedness of health effects of the four activities. It discusses how to measure time spent in each of the four activities, as well as the analytical and statistical challenges in analyzing data based on the model, including the inevitable challenge of confounding among activities. The potential usefulness of this model is described by reviewing selected research findings that aided in the creation of the model and discussing future applications of the 24-HAC model.
AB - The physiologic mechanisms by which the four activities of sleep, sedentary behavior, light-intensity physical activity, and moderate-to-vigorous physical activity (MVPA) affect health are related, but these relationships have not been well explored in adults. Research studies have commonly evaluated how time spent in one activity affects health. Because one can only increase time in one activity by decreasing time in another, such studies cannot determine the extent that a health benefit is due to one activity versus due to reallocating time among the other activities. For example, interventions to improve sleep possibly also increase time spent in MVPA. If so, the overall effect of such interventions on risk of premature mortality is due to both more MVPA and better sleep. Further, the potential for interaction between activities to affect health outcomes is largely unexplored. For example, is there a threshold of MVPA minutes per day, above which adverse health effects of sedentary behavior are eliminated? This article considers the 24-h Activity Cycle (24-HAC) model as a paradigm for exploring inter-relatedness of health effects of the four activities. It discusses how to measure time spent in each of the four activities, as well as the analytical and statistical challenges in analyzing data based on the model, including the inevitable challenge of confounding among activities. The potential usefulness of this model is described by reviewing selected research findings that aided in the creation of the model and discussing future applications of the 24-HAC model.
KW - LIGHT PHYSICAL ACTIVITY
KW - MODERATE PHYSICAL ACTIVITY
KW - SEDENTARY BEHAVIOR
KW - SLEEP
KW - VIGOROUS PHYSICAL ACTIVITY
KW - WEARABLES
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UR - http://www.scopus.com/inward/citedby.url?scp=85061597308&partnerID=8YFLogxK
U2 - 10.1249/MSS.0000000000001811
DO - 10.1249/MSS.0000000000001811
M3 - Article
C2 - 30339658
AN - SCOPUS:85061597308
SN - 0195-9131
VL - 51
SP - 454
EP - 464
JO - Medicine and Science in Sports and Exercise
JF - Medicine and Science in Sports and Exercise
IS - 3
ER -