Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality

Abstract

Introduction Latent class analysis provides a method for understanding patterns of physical activity and sedentary behavior. This study explored the association of accelerometer-assessed patterns of physical activity/sedentary behavior with all-cause mortality. Methods The sample included 4,510 U.S. National Health and Nutrition Examination Survey participants aged ≥ 40 years enrolled in 2003–2006 with mortality follow-up through 2011. Participants wore a hip-worn accelerometer for 1 week that provided minute-by-minute information on physical activity/sedentary behavior. Accelerometry patterns were derived using latent class analysis. Cox proportional hazards models provided adjusted hazard ratios with 95% CIs. Analyses were conducted from 2014 to 2016. Results During an average of 6.6 years of follow-up, 513 deaths occurred. For average counts/minute, the more-active classes had a lower risk of mortality compared with the lowest Class 1. Findings were generally similar for percentage of the day in minutes and bouts of moderate to vigorous physical activity, defined two ways. For percentage of the day in sedentary behavior, generally no associations were identified. However, the class with the highest percentage of the day in sedentary bouts (Class 1) had a higher risk of mortality (adjusted hazard ratio, 2.10; 95% CI=1.11, 3.97) versus the class with fewer sedentary bouts (Class 7). Conclusions In this national observational study, time spent in more physical activity reduced the risk of all-cause mortality and time spent in more sedentary bouts increased the risk of all-cause mortality, regardless of how both was accumulated. The latent class analysis contributed to understanding the impact of patterning of physical activity/sedentary behavior on mortality.

Effect of High-Intensity Treadmill Exercise on Motor Symptoms in Patients With De Novo Parkinson Disease

“…van Nimwegen et al 37 reported that exercise training coupled with behavioral modification training increased total physical activity and daily energy expenditure in patients with Parkinson disease. Because sedentary behavior is an independent risk factor for all-cause mortality, 38 understanding how structured exercise affects nonexercise physical activity behaviors in patients with Parkinson disease will provide important clinical information on how to maximize the long-term therapeutic benefits of exercise in this population. This phase 2, multicenter futility design is of particular importance for the study of exercise in patients with Parkinson disease for several reasons.…”

Device‐measured light‐intensity physical activity and mortality: A meta‐analysis

“…Of these, 1010 articles were excluded after title and abstract screening and 23 full-text articles were assessed for potential eligibility. 10,11,[19][20][21][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] Of these 23 articles, six studies met the criteria. 10,11,[19][20][21]33 From the remaining 17 studies contacted via email, five of them provided the requested results.…”

“…10,11,[19][20][21]33 From the remaining 17 studies contacted via email, five of them provided the requested results. [29][30][31][32]34 Eight studies did not provide cutoff point of LPA because data re-analysis was not available, [36][37][38][40][41][42]44,45 one study included participants with chronic kidney disease, 35 and the other three studies did not adjust for MVPA. 39,43,46 As a result, 11 articles were included in this review.…”

Patterns of accelerometer‐based sedentary behavior and their association with cardiorespiratory fitness in adults

“…31 Our findings on the number of identified classes of accelerometer-based SB in an apparently healthy adult population using the growth mixture modeling approach are slightly different from previous studies. [12][13][14] In contrast to the NHANES studies that identified five to seven patterns of accelerometerbased SB, we decided to select the four-class model.…”

“…Fourth, study participants agreed to accelerometry monitoring for seven consecutive days, but it is still unclear whether this period is sufficient to accurately assess patterns of SB. 13 In addition, participants were informed that physical activity would be recorded over the measurement period. The administration of accelerometry may have introduced reactivity among the study participants.…”