Table 1.
Authors, year, reference # | Purpose | N | Age (years) | Walking cadence to reach moderate intensity | Variables associated with reaching moderate intensity | Strategies, tools, and interventions | Main outcomes |
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Tudor-Locke and Rowe (2012) [15] | Summarize the potential for using cadence to measure and promote intensity of activity | Review article | — | Most studies find that 100 s/m elicits 3 METs (mod intensity) | Focuses on what we can do with cadence | Cadence appears to be sensitive to change with intervention | 100 s/m = 3 METS Pedestrian cadence in natural conditions = 115 s/m. Lower cadence in free living |
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Abel et al. (2011) [16] | Identify step rate thresholds for different intensities | 19 | 28 ± 7 | Treadmill test at six standardized speeds. O2 consumption versus step rate | — | — | Men: mod = 94 vig = 125 Women: mod = 99 vig = 135 100 s/m = practical public health recommendation for mod intensity |
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Beets et al. (2010) [17] | Examine impact of leg length on steps per day associated with MPA | 20 | 26 ± 5 | Overground walking, 5 speeds, portable gas analyser | Leg length (related to step frequency) | — | 100 s/m = 3 METs Increase leg length = decrease (−1.15) s/m Range for MPA s/m = 85–111 |
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Marshall et al. (2009) [18] | Creating a pedometer-based guideline for PA recommendations | 97 | 32 ± 11 | 4 speeds, O2 measured and steps. Step rate cut-point for mod = 3 METS | — | — | Men 3 METs = 92–102 s/m Women 3 METs = 91–115 s/m |
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Rowe et al. (2011) [19] | What is the self-selected “brisk” walking pace in inactive adults | 25 | 34 ± 13 | Mod intensity treadmill walking trial, steady state 02 measured | Self-selected brisk walk = higher cadence than mod pace | Used metronome to assist in pacing mod intensity | Self-selected brisk = 124 ± 8 s/m. Mod pace (metronome) = 114 ± 8 s/m with EE > 3 METS |
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Tudor-Locke et al. (2005) [20] | Pedometer-determined step count guidelines for walking intensity | 50 | 18–39 | 6 min exercise bouts at 3 treadmill speeds and steady state VO2 recorded | — | — | Pedometer cut-points for minimal mod intensity = 96 s/m (men) and 107 s/m (women) |
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Nagasaki et al. (1996) [21] | Walking patterns and finger rhythm | 1134 | ≥65 | — | Step ratio = step length/cadence Age Finger festination (rhythmic movement) |
— | Older = shorter steps Increased finger festination = increased step rate (smaller walk ratio) |
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Serrano et al. (2016) [22] | Evaluate walking cadence needed to reach moderate intensity in older adults & develop an algorithm for prescription | 121 | 69 ± 8 | Moderate intensity = when participants reached 40% of peak oxygen consumption on an indoor flat surface | Body weight, stride length, and height | Created an algorithm to predict mod intensity walking cadence | Mean walking cadence to reach mod intensity was 115 ± 10 s/m |
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Peacock et al. (2014) [23] | Stride rate and walking intensity in healthy older adults | 29 | 3 ground and 3 treadmill trails (slow, medium, and fast) VO2 measured (indirect calorimetry) | Stride rate, age, and height have a significant effect (p < 0.01) on walking intensity | Synchronization between stride rate and music tempo found that music can be a useful way to guide walking cadence | Mean s/m exceeded minimum thresholds MVPA; slow (111 ± 12 s/m), medium (118 ± 11 s/m), and fast (124 ± 11 s/m) instructions | |
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Tudor-Locke et al. (2013) [24] | Compare clinical and free-living cadence in older adults | 15 | 61–81 | Gait speed (cm/sec) & cadence measured for 1 week | Steps/day, normal versus dual task walking, pedometer versus accel steps/day | This group was able to walk at cadences > 100 s/m, but, on average, <10 min/day was spent above this cadence | Shown that these adults were capable of walking at cadences ≥ 100 s/m, but this was uncommon in daily life |
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Tudor-Locke et al. (2012) [25] | Analysis of NHANES for peak 30 min and 1 min cadence | 3522 | 20+ | Peak 30-minute cadence (highest s/m in a day, not necessarily consecutive minutes) & peak 1-minute cadence (the highest single minute in a day) | Sex, age, and BMI | — | 30 min peak = 71 s/m 1 min peak = 100 s/m Both show decline in cadence with age and obesity |
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Dall et al. (2013) [26] | Comparing rate of stepping and number of steps in a minute epoch | 117 | 46 ± 16 | — | Comparing step accumulation versus cadence | — | Most walking was not done continuously so cadence cannot be determined from step accumulation alone. These 2 measures are not interchangeable |
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Brown et al. (2014) [27] | Determine if ability to walk ≥100 s/m predicts mortality in older adults | 5000 | 70.6 | Cadence calculated using 2.4 m walk and separated into ≥100 s/m versus <100 s/m | Cadences effect on mortality | — | Ability to walk ≥100 s/m predicted a 21% reduction in all-cause mortality. Each 10-step increase predicted a 4% reduction |
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Ayabe et al. (2013) [28] | Relationship between 1000 steps in 10 min (1k) and 3000 in 30 min (3k) | 33 | 53 ± 19 | Accelerometer measured light, mod, and vigorous intensity | Bouts of exercise intensity >10 minutes | — | # of steps (at all intensities) was higher on 1k or 3k days 1k duration not correlated with MVPA in >10 min bouts, unclear if cadence can be used to define MVPA |
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Taylor et al. (2010) [29] | Objective and subjective assessment of normal walking pace versus moderate intensity | 10 | 54 ± 8 | Normal walking pace measured using GPS over a 1 km outdoor walk and a timed 150 m trial | Height was significantly correlated with walking pace | Use of GPS for measurement has potential, allowing measurement in a real life setting | All participants walked at a pace considered as moderate intensity (≥1.34 m/sec) |
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Spyropoulos et al. (1991) [30] | Identify and compare components of walking gait between obese and nonobese men | 12 | 30–47 | Walking gait measured with cinematography in min/sec | Body weight | — | Obese = slower walking speed, shorter stride length, smaller cadence, and larger step width |
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Ayabe et al. (2011) [31] | Comparing stepping rate between normal weight and overweight/obese individuals | 40 | 58 ± 8 | Pedometer for 7 days to determine the number of steps and time spent in PA at <100, 100–129, 130 s/m | BMI (<25 kg m−2 or 25 kg m−2) | — | Overweight = sig. less steps/day, lower average stepping rate, and sig. shorter time in PA at 100 s/m |
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Rowe et al. (2013) [32] | Determine the role of height and stride length in mod intensity walking cadence | 75 | 33 ± 12 | 3 overground and 3 treadmill trails (slow, medium, and fast) VO2 measured (indirect calorimetry) | Measured and 5 stride length variables and height | Height needs to be taken into consideration for more precise prescription of walking cadence | Height can cause cadence at mod intensity to vary more than 20 s/m (90–113) |
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Pillay et al. (2014) [33] | Examining the relationship between intensity and fitness/health outcomes for pedometer | 70 | 32 ± 8 | Pedometer classified aerobic as ≥60 s/m and nonaerobic as <60. Also collected total steps per day | Estimated VO2 max, BP, BMI, BF%, WC, age, gender, and total steps/day | — | Total steps/day and time accumulating “aerobic” steps inversely associated with BF%, BMI, WC, and systolic BP |
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Nielson et al. (2011) [34] | Determine accuracy of steps counts and EE as estimated | 100 | >50 | Step counts and energy expenditure were estimated with a pedometer while walking 80, 90, 100, 110, and 120 s/m | — | Used metronome to help guide the 5 different step frequencies on the treadmill | Pedometer underestimated EE at 80 s/m and overestimated it at 90, 100, 110, and 120 s/m |
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Wittwer et al. (2013) [35] | Music and metronome cues effects on gait in healthy older adults | 19 | >65 | — | Music versus metronome | Music = increase in gait velocity Both music and metronome = small increase in cadence (1 s/m) |
Music and metronome cues produce different effects on gait spatiotemporal measures but not gait variability in healthy older adults |
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Wittwer et al. (2013) [36] | Effect of Rhythmic Auditory Cueing (RAC) on gait in people with Alzheimer Disease | 30 | 80 ± 6 | — | Music versus metronome | Both music and metronome = decreased stride length | RAC produced damaging effects on gait in a single session in this group with AD |
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Nascimento et al. (2015) [37] | Walking training on patients after stroke: a systematic review | 211 | — | — | — | Walking training with cueing of cadence | Walking training with cueing of cadence improves walking speed and stride length after stroke more than walking training alone |
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Foster et al. (2008) [38] | The talk test as a marker of exercise training intensity | Relationship between VT and the TT during various interventions and this suggests that the TT is suitable for exercise prescription | |||||
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Persinger et al. (2004) [39] | Consistency of the talk test for exercise prescription | 16 | 24 | Support the hypothesis that the TT approximates VT on both treadmill and cycle | |||
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Slaght et al. (2016) [40] | Walking cadence prescription to reach the global physical activity recommendations in older adults | 55 | 70 | Mod intensity = when participants reached 40% of peak oxygen consumption on an indoor flat surface | Feedback on reaching mod intensity versus no feedback | Individualized cadence to reach mod intensity and feedback on ability to reach intensity = effective | Previously inactive older adults can increase time at mod intensity in 10-minute bouts weekly by using individually prescribed walking cadence |
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Marshall et al. (2013) [41] | Using step cadence goals to increase moderate-to-vigorous intensity physical activity | 180 | 18–55 | Accelerometer-based PA was measured at baseline and after 12 weeks | — | 12-week intervention, 3 groups (self-selected, 10,000 steps per day, and 3000 steps in 30 min) | Group assigned 3000 steps in 30 min had more MVPA in ≥10 min bouts |
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Barreira et al. (2016) [42] | Pattern changes in step count accumulation and peak cadence due to a physical activity intervention | 121 | 35–64 | Accelerometer to measure different cadence bands & peak 1 min, 30 min, and 60 min cadence | — | 2 groups; (1) diet and behaviour change, (2) diet and PA—increase steps/day and steps at MVPA | From the period before to the period after intervention no difference between groups for steps/day. Diet and PA group did accumulate significantly more steps at higher cadences |
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Waterhouse et al. (2010) [43] | Effects of music tempo upon submaximal cycling performance | 12 | Music tempo for cycling cadence | — | Faster tempo resulted in increased distance covered and cadence | Faster music = voluntarily increased workload | |
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Bouchard et al. (2013) [44] | Can older inactive adults learn how to reach the required intensity of physical activity guideline? | 25 | ≥65 | 2 groups used ≥40% HRR for moderate intensity; pedometer group used 100 s/m | Tool used to measure moderate intensity and ability to identify moderate intensity | 3 different intervention methods (manual HR, HR monitor, and pedometer) | No group improved time in MVPA and HR monitor and pedometer groups increased total activity time and the pedometer group, though not significant, showed a tendency to be able to better identify mod intensity |
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Tudor-Locke et al. (2014) [45] | A randomized controlled trial of pedometer-based interventions differing on intensity messages | 120 | 45–74 | — | Comparing total steps versus cadence to elicit moderate intensity | 3 groups; (1) 10,000 steps/day, (2) 10,000 steps/day & 30 min at mod intensity, and (3) control | This study will improve understanding on benefits walking volume and/or intensity have |
s/m: steps per minute, MET: metabolic equivalent, O2: oxygen, mod: moderate, vig: vigorous, MPA: moderate physical activity, PA: physical activity, EE: energy expenditure, VO2: oxygen uptake, accel: accelerometer, NHANES: National Health and Nutrition Examination Survey, BMI: body mass index, GPS: Global Positioning System, sig: significantly, BP: blood pressure, BF%: body fat percent, WC: waist circumference, RAC: rhythmic auditory cueing, AD: Alzheimer's Disease, TT: talk test, VT: ventilatory threshold, HRR: heart rate at rest, HR: heart rate, and MVPA: moderate-to-vigorous physical activity.