The Bout Cadence Method Improves the Quantification of Stepping Cadence In Free-Living Conditions

Johns, Jarrett A.; Frayne, Ryan J.; Goreham, Joshua A.; Kimmerly, Derek S.; O’Brien, Myles W.

doi:10.1016/j.gaitpost.2020.04.014

Cited by 14 publications

(6 citation statements)

References 18 publications

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“…We have demonstrated that adults engage in an average of 18 min/day at stepping cadences between 120 and 140 step/min (i.e., proxy of VPA) and 3 min/day at cadences > 140 step/min. 21 Given the challenges of implementing 30 min/day VPA (or 210 min/week), it should be acknowledged that even 10 min/day (or 70 min/week) was associated with a predicted 3–4 ml·kg −1 ·min −1 higher aerobic fitness (i.e., ∼1 MET). Importantly, VPA is attainable for most populations with heuristic stepping cadence recommendations of VPA being equal to ∼130 step/min, 12 which is within the upper threshold for walking cadences (< 140 step/min).…”

Section: Discussionmentioning

confidence: 99%

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Habitual sedentary time and stationary time are inversely related to aerobic fitness

O’Brien¹,

Shivgulam²,

Petterson³

et al. 2022

Sports Medicine and Health Science

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Section: Discussionmentioning

confidence: 99%

“… 13 , 17 , 20 The method of using stepping cadence to derive physical activity intensity is described in more detail elsewhere. 21 …”

Section: Methodsmentioning

confidence: 99%

Habitual sedentary time and stationary time are inversely related to aerobic fitness

O’Brien¹,

Shivgulam²,

Petterson³

et al. 2022

Sports Medicine and Health Science

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“…Because of naturally occurring fluctuations in stepping speeds while walking (eg, walking in the home, crowded places, traffic lights), an accurate estimate of bout length by intensity could not be determined. However, the approach of examining each walking bout individually, considering intrabout changes by presenting the percentage of moderate and light walking per bout (as done in this study), has recently been substantiated as more accurate 56 than previously used approaches that estimate walking intensity per bout by calculating the average per time interval. 38 The differences between included and not-included participants in this study indicate a propensity among the not-included participants of having higher age and living alone.…”

Section: Discussionmentioning

confidence: 93%

Physical Activity Behavior and Its Association With Global Cognitive Function Three Months After Stroke: The Nor-COAST Study

Luzum,

Gunnes,

Lydersen

et al. 2023

Physical Therapy

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Objective The purposes of this study were to determine the association between physical activity (PA) behavior and global cognitive function 3 months after stroke and to explore the role of physical capacity as a mediating factor. Methods Participants with stroke were successively recruited at 5 different hospitals in Norway. PA was measured using accelerometers, with a follow-up period of 7 consecutive days, and global cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). The general pattern of PA and the percentage of participants adhering to World Health Organization PA recommendations (at least 150 minutes of moderate-intensity aerobic PA per week) were investigated using descriptive statistics. Multiple regression and mediator analyses were used to examine the relationship between PA behavior and MoCA scores; physical capacity, measured with the Short Physical Performance Battery, served as the mediating variable. Results A total of 193 women (42.6%) and 260 men (57.4%) with a median age of 73.7 years (25th and 75th percentiles = 65.8 and 80.4, respectively) and a median MoCA score of 25 points (25th and 75th percentiles = 22 and 27, respectively) were included. Mean total time spent walking at moderate intensity was 251.7 (SD = 164.6) min/wk (mean bout length = 20.9 [SD = 7.3] seconds), which indicated 69.3% adherence to World Health Organization guidelines. With each point decrease in the MoCA score, there was an expected 8.6% increase in the odds of nonadherence to PA recommendations. Physical capacity was identified as an important mediating factor, explaining the strength of the association between cognition and PA behavior. Conclusions In contrast to previous research, in the present study, most participants adhered to the updated global PA guidelines. However, people who had survived stroke and had reduced cognitive function were at higher risk of inactivity, an association mediated by physical capacity. Impact A better understanding of the association between cognition and PA behavior after stroke might help for developing more targeted early-onset interventions.

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“…The interobserver reliability of this program to analyze sedentary time ( R = 0.94, P < 0.001; mean error = 9 ± 58 min·d −1 , absolute mean error = 19 ± 56 min·d −1 ) and sedentary breaks ( R = 0.99, P < 0.001; mean error = 0.03 ± 0.19 breaks per hour, absolute mean error = 0.08 ± 0.20 breaks per hour) was determined by comparing outcomes between two investigators who each blindly analyzed 21 participants (120 total d). Additionally, the time spent within LPA, MPA, and VPA step rate thresholds was determined in a separate customized LabVIEW program, as described in more detail elsewhere (13).…”

Section: Methodsmentioning

confidence: 99%

Ecological Validity of Prolonged Sitting Studies: How Well Do They Represent Real-Life Sedentary Patterns? A Pilot Study

O’Brien

Petterson

et al. 2021

Transl J ACSM

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Acute prolonged sitting studies have been frequently implemented to determine the physiological effect of sedentary time on vascular and metabolic health. The length of these laboratory-based prolonged sitting studies ranges from 1.5 to 6 h, with most being 3 h in duration. Whether or not these sitting durations reflect true habitual prolonged sitting patterns is unclear. The purpose of this pilot study was to examine the habitual sedentary patterns of a heterogeneous sample to inform the design of future acute laboratory-based sitting studies. Participants (n = 121; 48 females) wore an activPAL inclinometer on their thigh 24 h•d −1 for 6.5 ± 0.7 d. A customized LabVIEW program determined daily averages of waking hours spent standing versus sitting and/or laying. The number of prolonged sedentary bouts (e.g., number of sedentary bouts >30 min) and the frequency of sedentary breaks (per waking hour) were also calculated. Overall, participants engaged in 9.4 ± 1.9 h•d −1 of sedentary time. Participants frequently engaged in sedentary bouts between 0.5 and 1.0 h (3.5 ± 1.1 bouts per day) and between 1 and 2 h (1.7 ± 0.8 bouts per day) in duration. By contrast, they rarely engaged in bouts >2 h without interruption (i.e., once every ~5 d). Very few participants engaged in any prolonged sedentary bouts between 3 and 4 h (n = 25; 21%) or >4 h (n = 6, 5%). Participants averaged 2.9 ± 0.7 sedentary breaks per hour (i.e., every ~21 min), with the majority (n = 83, 69%) breaking up their sitting time every 17-30 min (i.e., 2-3.5 breaks per hour). To maximize the ecological validity, our preliminary findings indicate that acute models of prolonged sitting should be 1-2 h in length and strategies to break up prolonged sitting implemented every 20-30 min. The results from this pilot study may be used to inform large epidemiological studies to characterize prolonged sitting patterns in a variety of populations to assist in translating findings from the laboratory to the habitual setting.

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The Bout Cadence Method Improves the Quantification of Stepping Cadence In Free-Living Conditions

Cited by 14 publications

References 18 publications

Habitual sedentary time and stationary time are inversely related to aerobic fitness

Habitual sedentary time and stationary time are inversely related to aerobic fitness

Physical Activity Behavior and Its Association With Global Cognitive Function Three Months After Stroke: The Nor-COAST Study

Ecological Validity of Prolonged Sitting Studies: How Well Do They Represent Real-Life Sedentary Patterns? A Pilot Study

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