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Walking economy is predictably determined by speed, grade, and gravitational load.
Open accessAbstract
The metabolic energy that human walking requires can vary by more than 10-fold, depending on the speed, surface gradient, and load carried. Although the mechanical factors determining economy are generally considered to be numerous and complex, we tested a minimum mechanics hypothesis that only three variables are needed for broad, accurate prediction: speed, surface grade, and total gravitational load. We first measured steady-state rates of oxygen uptake in 20 healthy adult subjects during unloaded treadmill trials from 0.4 to 1.6 m/s on six gradients: −6, −3, 0, 3, 6, and 9°. Next, we tested a second set of 20 subjects under three torso-loading conditions (no-load, +18, and +31% body weight) at speeds from 0.6 to 1.4 m/s on the same six gradients. Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean (3.1 ± 0.1 to 43.3 ± 0.5 ml O 2·kg-body−1·min−1, respectively). As theorized, the walking portion (V̇o 2-walk = V̇o 2-gross– V̇o 2-supine-rest) of the body’s gross metabolic rate increased in direct proportion to load and largely in accordance with support force requirements across both speed and grade. Consequently, a single minimum-mechanics equation was derived from the data of 10 unloaded-condition subjects to predict the pooled mass-specific economy (V̇o 2-gross, ml O 2·kg-body + load−1·min−1) of all the remaining loaded and unloaded trials combined ( n = 1,412 trials from 90 speed/grade/load conditions). The accuracy of prediction achieved ( r 2 = 0.99, SEE = 1.06 ml O 2·kg−1·min−1) leads us to conclude that human walking economy is predictably determined by the minimum mechanical requirements present across a broad range of conditions. NEW & NOTEWORTHY Introduced is a “minimum mechanics” model that predicts human walking economy across a broad range of conditions from only three variables: speed, surface grade, and body-plus-load mass. The derivation/validation data set includes steady-state loaded and unloaded walking trials ( n = 3,414) that span a fourfold range of walking speeds on each of six different surface gradients (−6 to +9°). The accuracy of our minimum mechanics model ( r 2 = 0.99; SEE = 1.06 ml O 2·kg−1·min−1) appreciably exceeds that of currently used standards.
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Written from the paper’s full text.
TL;DR
The paper tests a “minimum mechanics” hypothesis that human walking economy can be predicted from only speed, surface grade, and total gravitational load. Across 3,414 steady-state trials, a single equation predicted mass-specific walking metabolic rate with r² = 0.99 and SEE = 1.06 ml O₂·kg⁻¹·min⁻¹, outperforming the ACSM and Pandolf et al. standards.
Key findings
- Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean: 3.1 ± 0.1 to 43.3 ± 0.5 ml O₂·kg-body⁻¹·min⁻¹. Across 90 speed/grade/load conditions, the grand mean walking rate was 14.4 ± 0.21 ml O₂·kg-body⁻¹·min⁻¹, a 4.7-fold elevation over resting, with individual values from 4.8 to 45.4 ml O₂·kg-body⁻¹·min⁻¹.
- A model derived from 10 unloaded-condition subjects predicted pooled mass-specific economy for all remaining loaded and unloaded trials (n = 1,412 trials from 90 speed/grade/load conditions) with r² = 0.99 and SEE = 1.06 ml O₂·kg⁻¹·min⁻¹. In part I validation, the model accounted for >98% of variance in 297 measured metabolic rates, with SEE <1.0 ml O₂·kg⁻¹·min⁻¹, or 7.4% of the overall mean.
- Added torso load increased walking metabolism in direct proportion to total supported mass: loaded/unloaded economy ratios matched loaded/unloaded weight ratios to within <1% for the lighter load, 5% for the heavier load, and <3% overall. There was no effect of load condition on walking economy per kg total load (ANOVA, α = 0.05).
- Grade had a larger influence than speed: at any given speed, walking metabolic rates spanned at least fourfold and up to sevenfold from −6° to +9°. Positive grades from 0 to 9° changed approximately linearly, whereas negative grades did not: differences between 0 and −3° were small, and essentially no differences appeared between −3 and −6°.
Methods
- Two-part treadmill study with 32 total subjects (20 in part I, 20 in part II, 8 overlapping), all physically active adults without exercise contraindications. Part I measured 5-min walking trials at 0.4, 0.7, 1.0, 1.3, and 1.6 m/s on six grades (−6, −3, 0, 3, 6, 9°). Part II measured 20 subjects at 0.6, 1.0, and 1.4 m/s on the same grades under no-load, +18%, and +31% body-weight torso loads; 9 subjects also completed 1.8 m/s for declined conditions.
- Metabolic rates were measured by indirect calorimetry, with V̇O₂ averaged over the last 2 min of each 5-min trial; supine resting, sitting, and standing rates were also measured. The final data set included 3,414 steady-state walking trials.
- The minimum-mechanics equation was derived using 10 experimental-group subjects, validated on 10 matched validation-group subjects, then applied to part II load conditions. Predictions were compared with ACSM and Pandolf et al. equations using SEE, r², and modified Bland-Altman analyses.
Limitations
- The paper states that possible load-related deviation for loads >0.3 body weight cannot be completely ruled out, though its heaviest load corresponded to that threshold and existing heavy-load data are limited and sometimes use unbalanced loading.
- The paper notes that height was not included in the model and children were not tested because the protocol was too rigorous; the sample was physically active adults, so findings are not age- or height-stratified.
- The paper describes the speed-dependent component as “more mathematically descriptive than physiologically mechanistic.” Evident from the text: the model was derived from a relatively small, young, active adult sample (mean ages roughly 26–30 years), limiting generalization to other populations.
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Claims the paper makes
5 of 92 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
Relatively smaller muscle volumes are activated during the relatively high-force eccentric contractions that simultaneously support and lower the body on negative grades.
“Relatively smaller muscle volumes are activated during the relatively high-force eccentric contractions that simultaneously support and lower the body on negative grades (24,61).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [24] source
In “Muscle work output during incline and decline running” (page unavailable), the paper reports greater force during muscle lengthening and increased energy absorption on declines. “Strategies for changing whole body work output” describes examples of muscles that are less active on declines, but the paper does not measure or establish that a smaller total muscle volume is activated to support and lower the body. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [61] source
- Interpretationcitation
This interpretation is fully consistent with the neuromuscular activation data available from the tissue level under different load conditions.
“This interpretation is fully consistent with the neuromuscular activation data available from the tissue level under different load conditions (52,66).”
Quote in the paperSubstantial claim1 of 2 sources checked - Findingown data
The walking portion of the body's gross metabolic rate increased in direct proportion to load.
“As theorized, the walking portion (V ˙O2-walk ϭ V ˙O2-gross -V ˙O2-supine-rest) of the body's gross metabolic rate increased in direct proportion to load and largely in accordance with support force requirements across both speed and grade.”
Quote in the paperSubstantial claim - Findingown data
The addition of either 18 or 31% of the body's weight resulted in proportional increases in walking metabolic rates regardless of the speed or grade of the walking trial.
“The addition of either 18 or 31% of the body's weight resulted in proportional increases in walking metabolic rates regardless of the speed or grade of the walking trial (Fig. 1).”
Quote in the paperSubstantial claim - Findingown data
When walking metabolic rates were determined by subtracting supine resting rates from the gross rates measured, load-induced increases in walking metabolism were a close function of the load added regardless of speed, grade, and gross metabolic rate elicited by the trial.
“When walking metabolic rates were determined by subtracting supine resting rates from the gross rates measured (i.e., V ˙O2-walk ϭ V ˙O2-gross Ϫ V ˙O2-rest ), load-induced increases in walking metabolism were a close function of the load added regardless of the speed, grade, and gross metabolic rate elicited by the trial”
Quote in the paperSubstantial claim
- Findingown data
The mean overall ratio for the heavier load from these 20 speeds and grades was 1.35 ± 0.006.
“The mean overall ratio for the heavier load from these 20 speeds and grades was 1.35 Ϯ 0.006.”
Quote in the paperSubstantial claim - Findingown data
The grade-induced differences present at any speed were an approximately linear function of grade across positive grades from 0 to 9°.
“The grade-induced differences present at any speed were an approximately linear function of grade across positive grades from 0 to 9°.”
Quote in the paperSubstantial claim - Findingown data
The mean measured standing metabolic rate was 3.51 ± 0.08 ml O2·kg−1·min−1 (range: 2.62-4.55).
“whereas the mean measured standing rate was 3.51 Ϯ 0.08 ml O 2 •kg Ϫ1 •min Ϫ1 (range: 2.62-4.55 ml O 2 •kg Ϫ1 •min Ϫ1 ).”
Quote in the paperNot a substantial claim - Findingown data
There was no discernable trend across the gross metabolic rates measured under either load condition.
“There was no discernable trend across the gross metabolic rates measured under either load condition.”
Quote in the paperSubstantial claim - Findingown data
Across the 90 different trial conditions, individual walking metabolic rates spanned a nearly 10-fold range from a minimum of 4.8 to a maximum of 45.4 ml O2·kg-body−1·min−1.
“Across these 90 different trial conditions, individual walking metabolic rates spanned a nearly 10-fold range from a minimum of 4.8 ml O 2 •kg -body Ϫ1 •min Ϫ1 to a maximum of 45.4 ml O 2 •kg -body Ϫ1 •min Ϫ1 .”
Quote in the paperNot a substantial claim - Findingown data
For both the +18 and +31% added load conditions, the ratios observed were greatest at low metabolic rates and least at the highest ones.
“For both the ϩ18 and ϩ31% added load conditions, the ratios observed were greatest at low metabolic rates and least at the highest ones.”
Quote in the paperSubstantial claim - Findingown data
Individual variability in walking economy was limited, with the mean standard deviation from each of the 90 different trial conditions averaging <0.8 ml O2·kg-body−1·min−1.
“Individual variability in walking economy was limited, with the mean standard deviation from each of the 90 different trial conditions averaging Ͻ0.8 ml O 2 •kg -body Ϫ1 •min Ϫ1 .”
Quote in the paperSubstantial claim - Findingreasoning
Because of the close relationship between increases in mass-specific metabolic rates and added gravitational loads relative to body weight, the accuracy of the minimum mechanics model under loaded conditions was almost the same as under unloaded conditions.
“Because of the close relationship between increases in mass-specific metabolic rates and added gravitational loads relative to body weight, the accuracy of the minimum mechanics model under loaded conditions was almost the same as under unloaded conditions (Fig. 5, A and B).”
Quote in the paperSubstantial claim - Findingown data
Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean (3.1 ± 0.1 to 43.3 ± 0.5 ml O2·kg-body−1·min−1).
“Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean (3.1 Ϯ 0.1 to 43.3 Ϯ 0.5 ml O 2•kg-body Ϫ1 •min Ϫ1 , respectively).”
Quote in the paperNot a substantial claim - Findingown data
At any given speed in the protocol, walking metabolic rates spanned a minimum range of fourfold and as much as sevenfold from the −6 to +9° grade conditions examined.
“At any given speed in the protocol, walking metabolic rates spanned a minimum range of fourfold and as much as sevenfold range from the Ϫ6 to ϩ9° grade conditions examined.”
Quote in the paperSubstantial claim - Findingown data
The mean ratio of V̇O2-L to V̇O2-UL across the 20 common speeds and grades with the lighter load was 1.17 ± 0.004.
“The mean value for the ratio of V ˙O2-L to V ˙O2-UL across the 20 common speeds and grades administered with the lighter load was 1.17 Ϯ 0.004.”
Quote in the paperSubstantial claim - Findingown data
The opposite pattern was observed when the literature standing value of 4.5 ml O2·kg−1·min−1 was subtracted from the V̇O2-gross values measured.
“The opposite pattern was observed when the literature standing value of 4.5 ml O 2 •kg Ϫ1 •min Ϫ1 was subtracted from the V ˙O2-gross values measured (where V ˙O2-walk ϭ V ˙O2-gross Ϫ V ˙O2-stand ; Fig. 3, green open triangles and curve fits).”
Quote in the paperSubstantial claim - Findingown data
Subtraction of the literature standing values from measured rates resulted in ratios of loaded to unloaded walking metabolic rates that were appreciably greater than the respective relative increase in load for both conditions.
“Subtraction of the literature standing values from measured rates resulted in ratios of loaded to unloaded walking metabolic rates (V ˙O2-L /V ˙O2-UL ) that were appreciably greater than the respective relative increase in load for both conditions.”
Quote in the paperSubstantial claim - Findingown data
The influence of grade on walking economy was larger than that of speed.
“The influence of grade on walking economy was larger than that of speed (Figs. 1 and 2).”
Quote in the paperNot a substantial claim - Findingown data
When no baseline quantity was subtracted, the ratio of loaded to unloaded walking metabolic rates was appreciably less than the relative increase in load.
“When no baseline quantity was subtracted (Fig. 3, red open squares and curve fits), the ratio of loaded to unloaded walking metabolic rates (V ˙O2-L /V ˙O2-UL ) was appreciably less than the relative increase in load.”
Quote in the paperSubstantial claim - Findingown data
For both the +18 and +31% added load conditions, ratios were lowest at low metabolic rates and greatest at the highest ones.
“For both the ϩ18 and ϩ31% added load conditions, ratios were lowest at low metabolic rates and greatest at the highest ones.”
Quote in the paperSubstantial claim - Findingown data
The derivation/validation data set includes steady-state loaded and unloaded walking trials (n = 3,414) that span a fourfold range of walking speeds on each of six different surface gradients (−6 to +9°).
“The derivation/validation data set includes steadystate loaded and unloaded walking trials (n ϭ 3,414) that span a fourfold range of walking speeds on each of six different surface gradients (Ϫ6 to ϩ9°).”
Quote in the paperSubstantial claim - Findingown data
There was no effect of load condition on walking economy per kilogram total load (ANOVA, α = 0.05).
“There was no effect of load condition on walking economy per kilogram total load (ml O 2 •kg -total Ϫ1 •min Ϫ1 ; ANOVA, ϰ ϭ 0.05).”
Quote in the paperSubstantial claim - Findingown data
When load-induced increases in mass-specific walking metabolic rates were expressed per kg-total, there were no discernable differences across any of the 20 speed and grade conditions for which each of the three load conditions were administered.
“Consequently, when the load-induced increases in the body's mass-specific (i.e., per kg -body ) walking metabolic rates were expressed in relation to the total load carried, or per kg -total , there were no discernable differences across any of the 20 speed and grade conditions for which each of the three load conditions were administered (Fig. 2).”
Quote in the paperSubstantial claim - Findingown data
The proportion of total variance in the 297 measured metabolic rates for validation group subjects accounted for by the minimum-mechanics model was >98%.
“The proportion of the total variance in the 297 measured metabolic rates for the validation group subjects accounted for by the minimum-mechanics model was Ͼ98%.”
Quote in the paperSubstantial claim - Findingown data
At all grades, speed-induced increases in walking metabolic rates were slightly curvilinear.
“At all grades, speed-induced increases in walking metabolic rates were slightly curvilinear.”
Quote in the paperNot a substantial claim - Findingown data
Coefficient of variation values tended to be greater for trials eliciting lower metabolic rates.
“In general, coefficient of variation values tended to be greater for trials eliciting lower metabolic rates.”
Quote in the paperNot a substantial claim - Findingown data
The mean sitting metabolic rate was 3.16 ± 0.08 ml O2·kg−1·min−1 (range: 2.22-4.24).
“The corresponding mean for sitting metabolic rates was 3.16 Ϯ 0.08 ml O 2 •kg Ϫ1 •min Ϫ1 (range: 2.22-4.24ml O 2 •kg Ϫ1 •min Ϫ1 )”
Quote in the paperNot a substantial claim - Findingown data
The supine resting values predicted for all 32 subjects using the population equations of Schofield et al. (3.21 ± 0.05 ml O2·kg−1·min−1) agreed to within <0.1 ml O2·kg−1·min−1 of the mean measured value.
“The supine resting values predicted for all 32 subjects using the population equations of Schofield et al. (64) based on height, weight, and sex of 3.21 Ϯ 0.05 ml O 2 •kg Ϫ1 •min Ϫ1 agreed to within Ͻ0.1 ml O 2 •kg Ϫ1 •min Ϫ1 of the mean measured value provided above.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schofield et al. [64] Schofield WN, 1985, Hum Nutr Clin Nutr
- Findingown data
When individual variability was quantified as coefficient of variation, values ranged from 0.034 to 0.122.
“When individual variability was quantified in relation to each trial mean as a coefficient of variation (ϭ standard deviation/trial mean), values ranged from a minimum of 0.034 to a maximum of 0.122.”
Quote in the paperSubstantial claim - Findingown data
A single minimum-mechanics equation was derived from the data of 10 unloaded-condition subjects to predict the pooled mass-specific economy of all remaining loaded and unloaded trials combined (n = 1,412 trials from 90 speed/grade/load conditions).
“Consequently, a single minimum-mechanics equation was derived from the data of 10 unloaded-condition subjects to predict the pooled mass-specific economy (V ˙O2-gross, ml O2•kg-body ϩ load Ϫ1 •min Ϫ1 ) of all the remaining loaded and unloaded trials combined (n ϭ 1,412 trials from 90 speed/grade/load conditions).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
- Findingown data
The mean measured supine resting metabolic rate for all 32 subjects was 3.13 ± 0.07 ml O2·kg−1·min−1 (range: 2.34-3.82).
“The mean measured supine resting metabolic rate for all 32 subjects was 3.13 Ϯ 0.07 ml O 2 •kg Ϫ1 •min Ϫ1 (range: 2.34 -3.82 ml O 2 •kg Ϫ1 •min Ϫ1 ).”
Quote in the paperSubstantial claim - Findingown data
Both alternative data treatments of the gross metabolic rates measured during walking were signal size dependent.
“Both alternative data treatments of the gross metabolic rates measured during walking were signal size dependent.”
Quote in the paperSubstantial claim - Findingown data
The minimum-mechanics equation predicted pooled mass-specific walking economy with r2 = 0.99 and SEE = 1.06 ml O2·kg−1·min−1.
“The accuracy of prediction achieved (r 2 ϭ 0.99, SEE ϭ 1.06 ml O2•kg Ϫ1 •min Ϫ1 )”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
- Findingown data
In both cases, the ratios progressively decreased toward a value proportional to the relative load added as the measured gross metabolic rates increased.
“In both cases, the ratios progressively decreased toward a value proportional to the relative load added as the measured gross metabolic rates increased.”
Quote in the paperSubstantial claim - Findingown data
For both load conditions, the ratios progressively approached a value directly proportional to the relative load added as the measured gross metabolic rates increased.
“For both load conditions, the ratios progressively approached a value directly proportional to the relative load added as the measured gross metabolic rates increased.”
Quote in the paperSubstantial claim - Findingown data
Grade-induced differences in walking metabolic rates from 0 to −6° were not linear.
“In contrast, gradeinduced differences in walking metabolic rates from 0 to Ϫ6° were not linear.”
Quote in the paperNot a substantial claim - Findingown data
The mean standing metabolic rate measured under postabsorptive conditions in this study was 3.53 ± 0.08 ml O2·kg−1·min−1.
“The mean standing metabolic rate we measured under postabsorptive conditions here of 3.53 Ϯ 0.08 ml O2•kg Ϫ1 •min Ϫ1 is representative of this difference.”
Quote in the paperSubstantial claim - Findingown data
The accuracy of our walking predictions here approached that of Astrand and Rhyming's cycling predictions.
“The accuracy of our walking predictions here approached that of Astrand and Rhyming's (5) cycling predictions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Astrand and Rhyming [5] source
- Findingown data
The average literature value of 4.5 ml O2·kg−1·min−1 in Table 3 exceeds the supine resting values measured for our subjects here (mean = 3.1 ml O2·kgbody−1·min−1; n = 32) by 1.4 ml O2·kg−1·min−1.
“The average literature value of 4.5 ml O 2•kg Ϫ1 •min Ϫ1 in Table 3 exceeds the supine resting values measured for our subjects here (mean ϭ 3.1 ml O2•kgbody Ϫ1 •min Ϫ1 ; n ϭ 32) by 1.4 ml O2•kg Ϫ1 •min Ϫ1 .”
Quote in the paperSubstantial claim - Findingown data
63% of our unloaded level and inclined walking trials fell within the ±6.0% standard.
“Here, 63% of our unloaded level and inclined walking trials fell within the Ϯ6.0% standard.”
Quote in the paperSubstantial claim - Findingown data
The grade- and signal size-dependent predictive bias patterns of the loaded conditions were similar to those in the unloaded trials in part I.
“The grade-and signal size-dependent predictive bias patterns of the loaded conditions were similar to those in the unloaded trials in part I.”
Quote in the paperSubstantial claim - Findingown data
The relative agreement between model-predicted and measured values across nearly 300 speed and grade values in part I and across >1,100 speed, grade, and load values in part II was >98% in each case.
“The relative agreement between the model-predicted and measured values across nearly 300 speed and grade values in part I and across Ͼ1,100 speed, grade, and load values in part II was Ͼ98% in each case (Figs.4B and 5B).”
Quote in the paperSubstantial claim - Findingreasoning
In each case, economy ratios progressively approached the condition weight ratios as the body's gross metabolic rates increased.
“In each case, economy ratios progressively approached the condition weight ratios as the body's gross metabolic rates increased.”
Quote in the paperSubstantial claim - Findingown data
The Pandolf et al. (56) model equation had slightly better overall performance than the ACSM model equation.
“The greater conditional breadth of the Pandolf et al. (56) model equation resulted in slightly better overall performance (Figs. 4, E and F, 5, E and F, and 6, E and F) vs. the ACSM model equation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pandolf et al. [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
- Findingown data
The postabsorptive sitting metabolic rates of our subjects were essentially identical to their supine resting rates (3.13 ± 0.07 vs. 3.16 ± 0.08 ml O2·kg−1·min−1, n=32).
“The postabsorptive sitting metabolic rates of our subjects were essentially identical to their supine resting rates (3.13 Ϯ 0.07 vs. 3.16 Ϯ 0.08 ml O 2•kg Ϫ1 •min Ϫ1 , respectively; n ϭ 32).”
Quote in the paperSubstantial claim - Findingown data
For our level walking economy data, the resulting underestimations of walking metabolic rates range from a maximum of 33.9% at 0.4 m/s to a minimum of 12.0% at 1.6 m/s.
“For our level walking economy data illustrated in Fig. 7, the resulting underestimations of walking metabolic rates range from a maximum of 33.9% at 0.4 m/s to a minimum of 12.0% at 1.6 m/s.”
Quote in the paperSubstantial claim - Findingown data
Nearly all the zero-subtraction economy ratios from 40 different load condition trials administered were lower than the ratio of loaded to unloaded walking weight.
“Indeed, this is precisely what we observed, as nearly all the zero-subtraction economy ratios from 40 different load condition trials administered were lower than the ratio of loaded to unloaded walking weight (Fig. 3, A and B, red squares and line fits).”
Quote in the paperSubstantial claim - Findingown data
Our 738 individual loaded walking trials spanning a 2.5-fold range of speeds on six different grades consistently supported the alternative conclusion that each kilogram of body and load mass incurs the same metabolic cost.
“However, our 738 individual loaded walking trials spanning a 2.5-fold range of speeds on six different grades consistently supported the alternative conclusion that each kilogram of body and load mass incurs the same metabolic cost (Figs. 2 and 3 and Table 5).”
Quote in the paperSubstantial claim - Findingown data
In many cases, the literature standing subtraction eliminates most of the originally measured metabolic signal.
“As Fig. 7 illustrates, in many of these cases, the literature standing subtraction eliminates most of the originally measured metabolic signal.”
Quote in the paperSubstantial claim - Findingown data
Preexercise standing metabolic rates in Table 3 are substantially greater on average than values reported in literature from studies where measuring standing metabolic rate was a primary rather than a secondary objective.
“These measures are substantially greater on average than the values reported in the literature from those studies for which measuring standing metabolic rate was a primary rather than a secondary objective.”
Quote in the paperSubstantial claim - Findingreasoning
Predictive error for the Pandolf et al. equation was most pronounced across slower speeds and at lower metabolic rates.
“Predictive error was most pronounced across slower speeds and at lower metabolic rates for two reasons.”
Quote in the paperNot a substantial claim - Findingown data
The two-component modeling approach ultimately provided highly accurate descriptions of the two- to fourfold increases in walking metabolic rates observed across the fourfold range of speeds investigated on the six different grades.
“This approach, although more mathematically descriptive than physiologically mechanistic, ultimately provided highly accurate descriptions of the two-to fourfold increases in walking metabolic rates observed across the fourfold range of speeds investigated on the six different grades (Figs. 2, 3, 4, and 5).”
Quote in the paperSubstantial claim - Findingown data
At the greatest metabolic rates, the economy ratios from all three subtraction methods converged at or very near the values of the weight ratios from the respective conditions: 1.18 for the lighter load and 1.31 for the heavier one.
“At the greatest metabolic rates for which the resting subtraction quantities have the least influence, the economy ratios from all three subtraction methods converged at or very near the values of the weight ratios from the respective conditions: 1.18 for the lighter load and 1.31 for the heavier one (Figs.3A and 3B, respectively).”
Quote in the paperSubstantial claim - Findingown data
The overall error of individual prediction of our minimum mechanics model was roughly one-half that of the ACSM and Pandolf et al. equations on average when evaluated with the SEE statistic.
“The overall error of individual prediction of our minimum mechanics model was roughly one-half that of the ACSM and Pandolf et al. equations on average when evaluated with the SEE statistic.”
Quote in the paperSubstantial claim - Findingown data
Across more than 1,400 individual values from 90 different speed, grade, and load trial conditions and gross metabolic rates ranging from two to 14 times the body's resting rate, the model predicted measured rates with a standard error of estimate of just >1.0 ml O2·kg−1·min−1 out of an overall mean nearly 14 times larger (14.6 ± 0.2 ml O2·kg-body−1·min−1; n = 1,412).
“Across more than 1,400 individual values from 90 different speed, grade, and load trial conditions and gross metabolic rates that ranged from two to 14 times the body's resting rate, our model predicted the rates we measured with a standard error of estimate of just Ͼ1.0 ml O 2 •kg Ϫ1 •min Ϫ1 out of an overall mean nearly 14 times larger (14.6 Ϯ 0.2 ml O 2 •kg -body Ϫ1 •min Ϫ1 ; n ϭ 1,412).”
Quote in the paperSubstantial claim - Premisecitation
Long periods of ground force application to support the body's weight and conservative, pendulum-like gait mechanics constrain gait-induced elevations in whole body metabolism to two to four times the body's supine resting rate across the level walking speeds typically used.
“However, long periods of ground force application to support the body's weight (12,36) and conservative, pendulum-like gait mechanics that minimize muscular work (11,12) constrain gaitinduced elevations in whole body metabolism two to four times the body's supine resting rate across the level walking speeds typically used.”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
The Pandolf et al. and ACSM equations generally underpredict walking metabolic rates under predominantly level conditions.
“However, both were formulated using very small sample sizes, have somewhat unclear scientific foundations, do not include declined conditions, and generally underpredict walking metabolic rates under the predominantly level conditions under which they have been thus far evaluated (46).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] source
- Premisecitation
The Pandolf et al. and ACSM equations were formulated using very small sample sizes.
“However, both were formulated using very small sample sizes, have somewhat unclear scientific foundations, do not include declined conditions, and generally underpredict walking metabolic rates under the predominantly level conditions under which they have been thus far evaluated (46).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] source
- Premisenone given
The two predictive equations with greatest conditional breadth, those of Pandolf et al. and the American College of Sports Medicine (ACSM), are the most widely used.
“The two predictive equations with greatest conditional breadth, those of Pandolf et al. (56) and the American College of Sports Medicine (ACSM) (3), are the most widely used.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Pandolf et al. [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
- cites American College of Sports Medicine (ACSM) (3)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The accuracy of the minimum mechanics model (r2 = 0.99; SEE = 1.06 ml O2·kg−1·min−1) appreciably exceeds that of currently used standards.
“The accuracy of our minimum mechanics model (r 2 ϭ 0.99; SEE ϭ 1.06 ml O2•kg Ϫ1 •min Ϫ1 ) appreciably exceeds that of currently used standards.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
- Premisecitation
The Pandolf et al. and ACSM equations do not include declined conditions.
“However, both were formulated using very small sample sizes, have somewhat unclear scientific foundations, do not include declined conditions, and generally underpredict walking metabolic rates under the predominantly level conditions under which they have been thus far evaluated (46).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] source
- Interpretationown data
The walking portion of the body's gross metabolic rate largely followed support force requirements across both speed and grade.
“As theorized, the walking portion (V ˙O2-walk ϭ V ˙O2-gross -V ˙O2-supine-rest) of the body's gross metabolic rate increased in direct proportion to load and largely in accordance with support force requirements across both speed and grade.”
Quote in the paperSubstantial claim - Interpretationcitation
The rationale for standing metabolic rate subtractions is unclear because standing, like walking, includes a nonresting metabolic cost of supporting the body's weight against gravity.
“The rationale for standing metabolic rate subtractions is unclear because standing, like walking, includes a nonresting metabolic cost of supporting the body's weight against gravity (75).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [75] source
- Premisecitation
Scores of predictive equations have been developed, but the vast majority have been limited to level surface conditions.
“Scores of predictive equations have been developed, but the vast majority have been limited to level surface conditions (10,46,59,71,73,77).”
Quote in the paperSubstantial claim0 of 6 sources checked - Premisereasoning
A generalized understanding of walking metabolism across the full range of conditions humans typically walk remains unavailable.
“Despite extensive and ongoing scientific attention, a generalized understanding of walking metabolism across the full range of conditions humans typically walk remains unavailable.”
Quote in the paperSubstantial claim - Interpretationown data
A minimum mechanics model predicts human walking economy across a broad range of conditions from only three variables: speed, surface grade, and body-plus-load mass.
“Introduced is a “minimum mechanics” model that predicts human walking economy across a broad range of conditions from only three variables: speed, surface grade, and bodyplus-load mass.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
- Interpretationown data
Human walking economy is predictably determined by the minimum mechanical requirements present across a broad range of conditions.
“The accuracy of prediction achieved (r 2 ϭ 0.99, SEE ϭ 1.06 ml O2•kg Ϫ1 •min Ϫ1 ) leads us to conclude that human walking economy is predictably determined by the minimum mechanical requirements present across a broad range of conditions.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
- The authors state this as an assumption: Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
- Interpretationreasoning
Deviation from economy ratios specified a priori on the basis of load weight can be used to detect resting baseline under- and oversubtractions.
“Specifically, deviation from economy ratios specified a priori on the basis of load weight can be used to detect resting baseline under-and oversubtractions.”
Quote in the paperSubstantial claim - Interpretationreasoning
Not removing any contribution of resting to the gross metabolic rate signal measured during walking disproportionately inflates the metabolic requirements of walking in the unloaded condition.
“Not removing any contribution of resting to the gross metabolic rate signal measured during walking disproportionately inflates the metabolic requirements of walking in the unloaded condition.”
Quote in the paperSubstantial claim - Interpretationcitation
Across-speed analyses and other scientific assessments are directly affected and potentially confounded by the baseline quantity subtracted.
“Accordingly, across-speed analyses and other scientific assessments are directly affected and potentially confounded by the baseline quantity subtracted.”
Quote in the paperSubstantial claim - Interpretationreasoning
For conditions and interventions that elicit relatively low walking metabolic rates, such as walking downhill, in simulated reduced gravity, and with assistive pulling, the specific value of the baseline quantity subtracted will most heavily influence the effects.
“Potential effects for those conditions and interventions that elicit relatively low walking metabolic rates, such as walking downhill, in simulated reduced gravity, and with assistive pulling, will be most heavily influenced by the specific value of the baseline quantity subtracted.”
Quote in the paperNot a substantial claim - Interpretationown data
The alternative suggestions that significant metabolic requirements exist for factors other than supporting and displacing the body's mass, such as repositioning the limbs between steps and the trailing and leading limbs pushing against one another during double support, do not explain our results.
“The alternative suggestions that significant metabolic requirements exist for factors other than supporting and displacing the body's mass, such as repositioning the limbs between steps (18,27) and the trailing and leading limbs pushing against one another during double support (19,43), do not explain our results.”
Quote in the paperSubstantial claim0 of 4 sources checked - Premisecitation
The extensively validated population equations of Schofield et al. provide accurate resting metabolic rate estimates from only sex, height, and weight.
“First, the extensively validated population equations of Schofield et al. (64) provide accurate resting metabolic rate estimates from only sex, height, and weight.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Schofield WN, 1985, Hum Nutr Clin Nutr
- Interpretationreasoning
The majority of the fivefold range in walking economy values observed across grade is explained by the different per-fiber muscular forces generated under the different grade conditions.
“However, the majority is explained by the different perfiber muscular forces generated under the different grade conditions.”
Quote in the paperSubstantial claim - Premisecitation
Astrand and Rhyming reported being able to predict cycling metabolic rates with an accuracy of ±6.0% for 67% of their cycling trials.
“In their original work, these authors reported being able to do so with an accuracy of Ϯ6.0% for 67% of their cycling trials.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Astrand and Rhyming [5] source
- Interpretationown data
The constant metabolic rates per total kilogram supported across three load conditions on all six inclines investigated here reveal that Margaria's support and displacement conclusions from unloaded walking on very steep positive and negative grades also apply to the moderate and intermediate grades examined here.
“The constant metabolic rates per total kilogram supported across three load conditions on all six inclines (Fig. 2B) investigated here reveal that Margaria's support and displacement conclusions from unloaded walking on very steep positive and negative grades also apply to the moderate and intermediate grades we examined here.”
Quote in the paperSubstantial claim - Interpretationcitation
The inability of skeletal muscle to convert lost gravitational potential energy into accumulated chemical energy reveals the physiologically unsound foundation of this prevailing approach.
“The inability of skeletal muscle to convert lost gravitational potential energy into accumulated chemical energy reveals the physiologically unsound foundation of this prevailing approach (3,8,17,25,56,78).”
Quote in the paperSubstantial claim0 of 6 sources checked - Interpretationreasoning
The constant ratios for each load condition allow us to infer that the measured supine resting rates we subtracted (3.1 ± 0.1 ml O2·kg-body−1·min−1) from the gross bodily rates measured during walking accurately isolated the non-resting fraction of bodily metabolism for which walking was responsible.
“Accordingly, the constant ratios for each load condition allow us to infer that the measured supine resting rates we subtracted (3.1 Ϯ 0.1 ml O 2 •kg -body Ϫ1 •min Ϫ1 ) from the gross bodily rates measured during walking (i.e., V ˙O2-gross -V ˙O2-rest ) accurately isolated the non-resting fraction of bodily metabolism for which walking was responsible.”
Quote in the paperSubstantial claim - Interpretationown data
Walking economy can be predicted accurately across a broad range of conditions from only three mechanical variables: speed, grade, and the total weight supported against gravity.
“Per our minimum mechanics hypothesis, we were able to predict walking economy accurately across a broad range of conditions from only three mechanical variables: speed, grade, and the total weight supported against gravity.”
Quote in the paperSubstantial claim - Interpretationcitation
The empirically derived decline coefficient of 0.73 is consistent with the metabolic reductions suggested by the slope of the force-velocity curve for eccentric muscular contractions in vivo.
“The empirically derived decline coefficient of 0.73 (Table 4) is consistent with the metabolic reductions suggested by the slope of the forcevelocity curve for eccentric muscular contractions in vivo (60).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] source
- Interpretationcitation
A small portion of the fivefold range in walking economy values observed across grade at each protocol speed tested here can be attributed to within-fiber rates of ATP utilization being greater during concentric uphill vs. eccentric downhill contractions.
“A small portion of the fivefold range in walking economy values observed across grade at each protocol speed tested here (Fig. 2B) can be attributed to within-fiber rates of ATP utilization being greater during concentric uphill vs. eccentric downhill contractions (34,35,39,70).”
Quote in the paperSubstantial claim0 of 4 sources checked - Interpretationcitation
Our earlier efforts employing body size stratification and stride frequency variation as experimental tools support the possibility that the Wb/tc approach may provide a general mechanistic explanation for human walking economy across speed that we report for the different grades investigated here.
“Our earlier efforts employing body size stratification and stride frequency variation as experimental tools (74) support the possibility that the W b /t c approach may provide a general mechanistic explanation for human walking economy across speed that we report for the different grades investigated here.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [74] source
- Interpretationown data
The error potentially introduced by an oversubtraction of 1.4 ml O2·kg−1·min−1 is substantial because the metabolic rates measured under typical walking conditions are quite small.
“The error potentially introduced by an oversubtraction of 1.4 ml O 2•kg Ϫ1 •min Ϫ1 is substantial because the metabolic rates measured under typical walking conditions are quite small (Fig. 7).”
Quote in the paperSubstantial claim - Interpretationown data
Sitting metabolism may be able to serve as a reasonable supine resting rate surrogate.
“Second, our measurements suggest that sitting metabolism may be able to serve as a reasonable supine resting rate surrogate.”
Quote in the paperSubstantial claim - Interpretationreasoning
Assuming the limb's leverage is not altered by balanced loading, the volume of limb extensor muscle activated, and therefore the rate at which chemical energy is used, to provide the requisite support forces should be a direct function of the total body-plus-load mass supported.
“Assuming the limb's leverage is not altered by balanced loading, the volume of limb extensor muscle activated, and, therefore, the rate at which chemical energy is used, to provide the requisite support forces should be a direct function of the total body-plus-load mass supported.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The limb's leverage is not altered by balanced loading.
- Premisecitation
Margaria recognized that the rate at which metabolic energy was expended to support and displace the body on steep positive and steep negative grades matched the metabolic cost of generating force during concentric and eccentric muscular contractions in isolated skeletal muscle.
“This pioneering investigator recognized that the rate at which metabolic energy was expended to support and displace the body on steep positive and steep negative grades matched the metabolic cost of generating force during concentric and eccentric muscular contractions in isolated skeletal muscle.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Margaria [49] Margaria R, 1938, Atti Accad Naz Lincei
- Premisecitation
Abe et al. reported that the speed identified as most economical differed over a 20% range depending upon the baseline quantity subtracted from their gross metabolic rates.
“These authors reported that the speed identified as most economical differed over a 20% range, depending upon the baseline quantity subtracted from their gross metabolic rates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationreasoning
If limb repositioning accounted for an appreciable portion of the total walking metabolic rate at any given speed and grade, then load-induced increases in economy should have been substantially less than the 1:1 relationship that consistently resulted across different speeds and grades.
“Thus, if limb repositioning accounted for an appreciable portion of the total walking metabolic rate at any given speed and grade, then load-induced increases in economy should have been substantially less than the 1:1 relationship that consistently resulted across different speeds and grades (Figs.2B and 3).”
Quote in the paperSubstantial claim - Interpretationown data
The ACSM model equation overpredicts walking metabolic rates on all nonzero grades.
“However, the more significant limitation of the ACSM model equation is the overprediction of walking metabolic rates on all nonzero grades.”
Quote in the paperSubstantial claim - Interpretationreasoning
Relatively greater volumes of muscle must be activated during the relatively low-force concentric contractions that simultaneously support and elevate the body's weight on positive grades.
“Relatively greater volumes of muscle must be activated during the relatively low-force concentric contractions that simultaneously support and elevate the body's weight on positive grades.”
Quote in the paperSubstantial claim - Interpretationreasoning
Our load results are consistent with the manner in which our model incorporates the mechanical consequences of added mass, with each kilogram of body or load mass supported requiring the application of the same ground support force (= 1.0 kg × gravitational acceleration) over the course of each stride.
“Mechanistically, our load results are consistent with the manner in which our model incorporates the mechanical consequences of added mass, with each kilogram of body or load mass supported requiring the application of the same ground support force ( ϭ 1.0 kg ϫ gravitational acceleration) over the course of each stride.”
Quote in the paperSubstantial claim - Interpretationreasoning
Removing a quantity larger than the actual contributions of resting to the gross metabolic rates measured disproportionately deflates the metabolic requirements of walking in the unloaded condition.
“Removing a quantity larger than the actual contributions of resting to the gross metabolic rates measured disproportionately deflates the metabolic requirements of walking in the unloaded condition.”
Quote in the paperSubstantial claim - Premisecitation
The quantitative agreement between tissue and whole body levels allowed Margaria to deduce that essentially all of the metabolic energy being expended to walk on steep gradients was attributable to supporting and displacing the body's mass either positively via concentric contractions on steep inclines or negatively via eccentric contractions on steep declines.
“The quantitative agreement between tissue and whole body levels allowed Margaria (49) to deduce that essentially all of the metabolic energy being expended to walk on steep gradients was attributable to supporting and displacing the body's mass either positively via concentric contractions on steep inclines or negatively via eccentric contractions on steep declines.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Margaria [49] Margaria R, 1938, Atti Accad Naz Lincei
- Interpretationreasoning
Resting supine metabolic rates are a sound standard for quantifying exercise metabolic rates more broadly.
“More generally, these results identify resting supine metabolic rates as a sound standard for quantifying exercise metabolic rates more broadly.”
Quote in the paperSubstantial claim- Rests on an assumption: Gravitational support is the primary determinant of walking metabolism.
- Interpretationreasoning
Our results, the foundational context provided by Margaria and colleagues, and the muscle activation and length-change data now available from the tissue level all support the same mechanistic explanation for differences in walking economy across grade.
“Our results, the foundational context provided by Margaria and colleagues (49,50), and the muscle activation and lengthchange data now available from the tissue level (24,61) all support the same mechanistic explanation for differences in walking economy across grade.”
Quote in the paperSubstantial claim0 of 4 sources checked - Premisecitation
Both the ACSM and Pandolf et al. model equations are amalgams of a series of smaller studies and data sets.
“In contrast, both the ACSM (3); and Pandolf et al. (56) model equations are amalgams of a series of smaller studies and data sets (for ACSM, see Refs 17 and 55; for Pandolf et al, see Refs. 25”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [3] American College of Sports Medicine, 2013
- cites [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
- cites 17 and 55
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Probably not a substantial claim. 16
- It may state two separate claims as one. 26
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationcitationValid baseline subtractions are necessary if effect sizes from exoskeletons, prosthetics, and other assistive devices are to be accurately quantified.
“Because advances in exoskeletons (14, 57), prosthetics (33), and other assistive devices continue to bring about reductions in walking metabolism, valid baseline subtractions are necessary if the effect sizes resulting from these and other interventions are to be accurately quantified.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [14] source
- cites [57] source
The Results (Metabolic cost and muscle activity; page unavailable) report reduced metabolic power with the powered exosuit, supporting the citing sentence’s point about exoskeletons. The Methods (Metabolic cost; page unavailable) subtract standing metabolic power to calculate net walking metabolic power, but the paper does not state that valid baseline subtractions are necessary to quantify effect sizes across exoskeletons, prosthetics, and other devices. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [33] source
It may state two separate claims as one.
Findingown dataThe overall error of individual prediction (SEE) for individual measured metabolic rates for validation group subjects was <1.0 ml O2·kg−1·min−1, corresponding to 7.4% of overall mean measured.
“The overall error of individual prediction, or SEE value, for the individual measured metabolic rates for the validation group subjects of Ͻ1.0 ml O 2 •kg Ϫ1 •min Ϫ1 corresponded to 7.4% of overall mean measured.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe differences observed between the 0 and −3° conditions were relatively small, and there were essentially no differences between the −3 and −6° conditions.
“The differences observed between the 0 and Ϫ3° conditions were relatively small, and there were essentially no differences between the Ϫ3 and Ϫ6° conditions.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe grand mean for all walking metabolic rates measured across the 90 different speed, grade, and load trial conditions was 14.4 ± 0.21 ml O2·kg-body−1·min−1, representing a 4.7-fold elevation on average of the body's supine resting metabolic rate.
“The grand mean for all walking metabolic rates measured across the 90 different speed, grade, and load trial conditions administered was 14.4 Ϯ 0.21 ml O 2 •kg -body Ϫ1 •min Ϫ1 , representing a 4.7-fold elevation on average of the body's supine, resting metabolic rate.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAcross each of the six different grades examined, walking metabolic rates increased from roughly two to four times across the fourfold range of test speeds administered from 0.4 to 1.6 m/s, with greater increases on steeper positive grades.
“Across each of the six different grades examined, walking metabolic rates increased from roughly two to four times across the fourfold range of test speeds administered from 0.4 to 1.6 m/s, with greater increases being observed on the steeper positive grades.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenThe mean standing metabolic rate compiled from 12 literature sources was 4.5 ± 0.19 ml O2·kg−1·min−1, 1.4 times greater than the mean supine resting metabolic rate measured in the 32 subjects tested here.
“The mean standing metabolic rate compiled from the subject test population means in 12 literature sources (Table 3) of 4.5 Ϯ 0.19 ml O 2 •kg Ϫ1 •min Ϫ1 was 1.4 times greater than the mean supine resting metabolic rate measured of the 32 subjects tested here.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe errors of the ACSM and Pandolf et al. (56) equations corresponded to 15.8 and 13.4%, respectively, of the overall mean measured for validation group subjects across all trials completed.
“56) equations corresponded to 15.8 and 13.4%, respectively, of the overall mean measured for the validation group subjects across all of the trials completed (2.13/13.5 ϭ 15.8 and 1.81/13.5 ϭ 13.4%).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe mean maximum rates of aerobic metabolism for the male and female participants were 53.2 ± 1.6 and 45.7 ± 3.0 ml O2·kg−1·min−1, respectively.
“The mean maximum rates of aerobic metabolism for the male and female participants were 53.2 Ϯ 1.6 and 45.7 Ϯ 3.0 ml O 2 •kg Ϫ1 •min Ϫ1 , respectively.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe Pandolf et al. equations tended to underpredict level and declined values while also overpredicting the values obtained on positive grades.
“The Pandolf et al. (56) equations tended to underpredict level and declined values while also overpredicting the values obtained on positive grades.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
It may state two separate claims as one.
Findingown dataThe ACSM conditional limitation and consistent overprediction of inclined walking metabolic rates resulted in most predicted values falling above the line of identity and a mean predictive error roughly 2 ml O2·kg body−1·min−1 too low for both loaded and unloaded conditions.
“This conditional limitation and the consistent overprediction of inclined walking metabolic rates resulted in most of the predicted values falling above the line of identity (Figs.4D and 5D) and a mean predictive error that was roughly 2 ml O 2 •kg body Ϫ1 •min Ϫ1 too low for both the loaded and unloaded conditions (black horizontal lines in Figs.6C and 6D).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe ACSM equation generally overpredicted declined and inclined values while slightly underpredicting level values.
“The ACSM equation generally overpredicted declined and inclined values while slightly underpredicting level values.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataOn a level surface at an intermediate walking speed of 1.0 m/s in the unloaded condition, 1.4 ml O2·kg−1·min−1 constitutes 15.1% of the body's gross metabolic rate and 22.7% of the walking rates based on our data.
“For example, on a level surface at an intermediate walking speed of 1.0 m/s in the unloaded condition, 1.4 ml O 2•kg Ϫ1 •min Ϫ1 constitutes 15.1% of the body's gross metabolic rate and 22.7% of the walking rates based on our data.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe overall predictive error for ACSM was larger, as was the zero error baseline vs. the equation of Pandolf et al. (56).
“The overall predictive error for ACSM was larger, as was the zero error baseline vs. the equation of Pandolf et al. (56).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pandolf et al. [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
It may state two separate claims as one.
Findingown dataThe Pandolf et al. equation predicted the multiconditional variation present in both data sets reasonably well, resulting in a mean overall error near zero.
“The elaborate final equation that incorporates at least four identifiable components of walking metabolism was able to predict the multiconditional variation present in both of our data sets reasonably well, resulting in a mean overall error near zero (black horizontal lines in Fig. 6, E and F).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataFor both the ACSM and Pandolf et al. (56) equations, the standard errors of estimate were nearly twice as large and exhibited bias predominantly across grade.
“For both the ACSM and Pandolf et al. (56) equations, the standard errors of estimate were nearly twice as large and exhibited bias predominantly across grade.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pandolf et al. [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
It may state two separate claims as one.
Findingown dataThe absolute accuracy of the ACSM equation declined marginally vs. the prediction of the unloaded values in part I, whereas that of the Pandolf et al. (56) equation improved marginally by 0.1 ml O2·kg−1·min−1.
“The absolute accuracy of the ACSM equation also declined marginally vs. the prediction of the unloaded values in part I, whereas that of the Pandolf et al. (56) equation improved marginally by 0.1 ml O 2 •kg Ϫ1 •min Ϫ1 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pandolf et al. [56] Pandolf KB, 1977, J Appl Physiol Respir Environ Exerc Physiol source
It may state two separate claims as one.
FindingcitationThe study's mean standing metabolic rate is nearly 1.0 ml·kg−1·min−1 lower than the literature mean in Table 3 but in good agreement with dedicated standing values in classic and more recent literature.
“Our mean is nearly 1.0 ml•kg Ϫ1 •min Ϫ1 lower than the literature mean in Table 3 but in good agreement with the dedicated standing values appearing in the classic (68) and more recent literature (53).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [68] Smith HM, 1922
- cites [53] source
Checked before — its earlier verdict is held back until a new check runs.
It may state two separate claims as one.
Findingown dataFor the minimum mechanics model, the mean overall difference was nearly equal to zero per the ideal (−0.36 ml O2·kg−1·min−1), the standard deviation of the prediction was relatively small, and little speed- or grade-dependent bias in the accuracy of the predictions was evident.
“For the minimum mechanics model, the mean overall difference was nearly equal to zero per the ideal (Ϫ0.36 ml O 2 • kg Ϫ1 •min Ϫ1 ), the standard deviation of the prediction was relatively small, and little speed-or grade-dependent bias in the accuracy of the predictions was evident.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn both cases, the established standardized equations tended to underpredict metabolic rates at lower grades and lower metabolic rates and overpredict at higher ones.
“In both cases, the established standardized equations tended to underpredict metabolic rates at lower grades and lower metabolic rates and overpredict at higher ones.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe torso loads added here increased ground support force requirements in a direct 1:1 ratio, with no direct effect on limb-repositioning requirements.
“The torso loads added here increased ground support force requirements in a direct 1:1 ratio, with no direct effect on limb-repositioning requirements.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataFor our subjects, Schofield et al. equations predicted a mean resting metabolic rate of 3.21 ± 0.05 ml O2·kg−1·min−1, within 0.08 ml O2·kg−1·min−1 of the measured mean, with an average individual error of 0.26 ± 0.04 ml O2·kg−1·min−1.
“For our subjects here, these equations predicted a mean resting metabolic rate (3.21 Ϯ 0.05 ml O2•kg Ϫ1 •min Ϫ1 ) that was within 0.08 ml O2•kg Ϫ1 •min Ϫ1 of the measured mean, with an average individual error of 0.26 Ϯ 0.04 ml O2•kg Ϫ1 •min Ϫ1 .”
Quote in the paperSubstantial claimProbably not a substantial claim.
Study design and conductown dataThe walking economy values of all 20 part II subjects were predicted using the model formulated from the data of the experimental group subjects in part I.
“Subsequently, the walking economy values of all 20 part II subjects were predicted using the model formulated from the data of the experimental group subjects in part I.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
Probably not a substantial claim.
Study design and conductnone givenTrials were not administered above 85% of the subject's measured maximum rate of aerobic metabolism to avoid fatigue and nonsteady-state conditions.
“Trials were not administered above 85% of the subject's measured maximum rate of aerobic metabolism to avoid fatigue and nonsteady-state conditions.”
Quote in the paperSubstantial claimProbably not a substantial claim.
PremisecitationIt is unresolved whether the per kilogram metabolic costs of body mass vs. external mass affixed to the torso are equal.
“Similarly unresolved is whether the per kilogram metabolic costs of body mass vs. external mass affixed to the torso are equal (6,26,30,37,45,51,58,67).”
Quote in the paperSubstantial claim0 of 8 sources checkedProbably not a substantial claim.
Study design and conductown dataHypothesis evaluation relied upon a cross-validation design that match-paired and split the 20 part I subjects into experimental and validation groups of 10 subjects each.
“Hypothesis evaluation relied upon a cross-validation design that match-paired and split the 20 part I subjects into experimental and validation groups of 10 subjects each.”
Quote in the paperSubstantial claimProbably not a substantial claim.
PremisecitationThe validity of existing explanations for the substantial differences in walking economy observed across different surface gradients is largely unknown.
“Finally, the validity of existing explanations for the substantial differences in walking economy observed across different surface gradients (3,8,49,54,56) is largely unknown.”
Quote in the paperSubstantial claim0 of 5 sources checkedProbably not a substantial claim.
Study design and conductown dataThe predictive accuracy of the model across speed and grade without loads was evaluated on 10 validation group subjects, whose data were not used in the model's empirical formulation.
“The predictive accuracy of the model across speed and grade without loads was then evaluated on 10 validation group subjects, whose data were not used in the model's empirical formulation.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationQuantitative approaches to isolating and predicting the walking, or nonresting, portion of the body's total metabolic rate have been inconsistent and are potentially confounding.
“Additionally, quantitative approaches to isolating and predicting the walking, or nonresting, portion of the body's total metabolic rate have been inconsistent and are potentially confounding (1,75).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim.
Study design and conductnone givenSubjects were randomly assigned to experimental and validation groups after being match-paired by stature and body mass.
“Subjects were randomly assigned to experimental and validation groups after being match-paired by stature and body mass.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe Wb/tc approach was successfully applied to level human walking by Hoyt et al., who expressed rate of ground force application in terms of body weight and time of foot-ground contact, but has been explored only limitedly since.
“The approach was successfully applied to level human walking by Hoyt et al. (36), who expressed rate of ground force application in terms of body weight and time of foot-ground contact (W b /t c ), but has been explored only limitedly since (31).”
Quote in the paperNot a substantial claim0 of 2 sources checkedIt may state two separate claims as one.
Interpretationown dataThe Pandolf et al. modeling choices do not seem scientifically well justified in terms of either the tight economy-load linkage we report or differences in standing vs. walking posture that likely decouple the metabolic requirements of supporting body weight across these different conditions.
“These modeling choices do not seem scientifically well justified in terms of either the tight economyload linkage we report (Figs.2B and 3, Table 5, and APPENDIX) or differences in standing vs. walking posture (7) that likely decouple the metabolic requirements of supporting body weight across these different conditions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] source
It may state two separate claims as one.
Interpretationown dataThe walking economy data acquired with and without loads on six different grades support our model's theoretical foundation while extending the grade-walking insights offered by Margaria eight decades ago.
“The walking economy data we acquired with and without loads on six different grades support our model's theoretical foundation while extending the grade-walking insights offered by Margaria (49) eight decades ago.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Margaria [49] Margaria R, 1938, Atti Accad Naz Lincei
Probably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationcitationThe possibility of load-related deviation being responsible for marginally greater relative increases for the heavier vs. lighter load condition as suggested by several investigators to occur for loads >0.3 body weights cannot be completely ruled out.
“The possibility of load-related deviation being responsible for marginally greater relative increases for the heavier vs. lighter load condition as suggested by several investigators (25,26,38,51,58) to occur for loads Ͼ0.3 body weights cannot be completely ruled out.”
Quote in the paperNot a substantial claim0 of 5 sources checkedProbably not a substantial claim.
PremisecitationAstrand and Rhyming were able to develop a submaximal test for estimating maximal aerobic power in part because of the accuracy with which they were able to predict cycling metabolic rates from mechanical work rates.
“A half century ago, Astrand and Rhyming (5) were able to develop a submaximal test for estimating maximal aerobic power in part because of the accuracy with which they were able to predict cycling metabolic rates from mechanical work rates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Astrand and Rhyming [5] source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationcitationThe nearly linear relationship may perhaps be explained by a mechanistic relationship between the duration of the foot-contact time when ground force is applied and the rate of ATP utilization in the muscle fibers recruited to apply support forces, as suggested by Taylor.
“The nearly linear relationship may perhaps be explained by a mechanistic relationship between the duration of the foot-contact time when ground force is applied and the rate of ATP utilization in the muscle fibers recruited to apply support forces, as suggested by Taylor (70).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor [70] Taylor CR, 1994, Adv Vet Sci Comp Med
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningA primary factor enabling us to develop a model with greater conditional breadth and roughly one-half the predictive error of the two leading standards was the singly-focused nature of our effort.
“A primary factor enabling us to develop a model with greater conditional breadth and roughly one-half the predictive error of the two leading standards was the singly-focused nature of our effort.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ACSM and Pandolf et al. equations are the two leading standards for predicting walking metabolic rate.
Probably not a substantial claim.
PremisecitationMany investigations under level-only conditions have reported that, on a per kilogram basis, each unit of additional torso mass incurs a relatively greater metabolic cost than each kilogram of body mass.
“Many investigations under level-only conditions have reported that, on a per kilogram basis, each unit of additional torso mass incurs a relatively greater metabolic cost than each kilogram of body mass (6, 29 -31, 37).”
Quote in the paperSubstantial claim0 of 5 sources checkedIt may state two separate claims as one.
InterpretationreasoningNeither the muscular activity present during level walking nor the metabolic requirement of this activity remain as constants across different grades.
“However, neither the muscular activity present during level walking nor the metabolic requirement of this activity remain as constants across different grades.”
Quote in the paperSubstantial claimProbably not a substantial claim.
Premiseown dataFor circumstances in which resting supine metabolic rate measurements are impractical or impossible, the literature identifies one, and perhaps two, viable alternatives.
“For circumstances in which resting supine metabolic rate measurements are impractical or impossible, the literature identifies one, and perhaps two, viable alternatives.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Interpretationown dataThe close agreement between the ratio of loaded to unloaded economy and the ratio of loaded to unloaded walking weight across the four- to fivefold range of gross metabolic rates measured under two load conditions indicates that two factors almost certainly remained essentially constant as assumed: the metabolic requirements per kilogram added load and the basal metabolic requirements of the body'
“The close agreement between the ratio of loaded to unloaded economy and the ratio of loaded to unloaded walking weight across the four-to fivefold range of gross metabolic rates measured under two load conditions (Fig. 3) indicates that two factors almost certainly remained essentially constant as as-sumed: 1) the metabolic requirements per kilogram added load (V ˙O2-kg-total , Figs. 2B and 3), as”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] source
- The authors state this as an assumption: The metabolic requirements per kilogram added load remained essentially constant across conditions.
- The authors state this as an assumption: The basal metabolic requirements of the body's nonlocomotor tissues remained essentially constant across rest and exercise conditions.
It may state two separate claims as one.
InterpretationreasoningIf a resting rate that was either too low or too high had been subtracted, positive or negative trends, respectively, would have been observed as the body's gross metabolic rate increased and the fractional contributions of resting to gross metabolic rate decreased.
“Alternatively, if a resting rate that was either too low or too high had been subtracted, positive or negative trends, respectively, would have been observed as the body's gross metabolic rate increased and the fractional contributions of resting to gross metabolic rate decreased.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Elevations in the body's metabolic rate above supine resting rates due to walking result entirely from the activity of skeletal muscle.
“The model assumes that elevations in the body's metabolic rate above supine resting rates due to walking 1) result entirely from the activity of skeletal muscle, 2) are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity (69, 70), and 3) vary across grade in accordance with muscular contractions that elevate, maintain, or”
The authors state this as an assumption.
Elevations in metabolic rate above supine resting due to walking are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity.
“The model assumes that elevations in the body's metabolic rate above supine resting rates due to walking 1) result entirely from the activity of skeletal muscle, 2) are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity (69, 70), and 3) vary across grade in accordance with muscular contractions that elevate, maintain, or”
The authors state this as an assumption.
Elevations in metabolic rate above supine resting due to walking vary across grade in accordance with muscular contractions that elevate, maintain, or lower the body's center of mass during each step.
“The model assumes that elevations in the body's metabolic rate above supine resting rates due to walking 1) result entirely from the activity of skeletal muscle, 2) are attributable primarily to the activity of the limb muscles to support the weight of the body, or body plus load, against gravity (69, 70), and 3) vary across grade in accordance with muscular contractions that elevate, maintain, or”
The authors state this as an assumption.
Each kilogram of added torso weight incurs an equal metabolic cost to each kilogram of body weight.
“Model predictions across load conditions assumed equal per kilogram metabolic requirements for body vs. added weight.”
The authors state this as an assumption.
The limb's leverage is not altered by balanced loading.
“Assuming the limb's leverage is not altered by balanced loading”
The authors state this as an assumption.
The metabolic requirements per kilogram added load remained essentially constant across conditions.
“two factors almost certainly remained essentially constant as as-sumed: 1) the metabolic requirements per kilogram added load”
The authors state this as an assumption.
The basal metabolic requirements of the body's nonlocomotor tissues remained essentially constant across rest and exercise conditions.
“2) the basal metabolic requirements of the body's nonlocomotor tissues as implied by earlier studies examining O 2 delivery to these tissues across rest and exercise conditions (4).”
The paper relies on this without support.
Gravitational support is the primary determinant of walking metabolism.
“since gravitational support is the primary determinant of walking metabolism.”
The paper relies on this without support.
The ACSM and Pandolf et al. equations are the two leading standards for predicting walking metabolic rate.
“roughly one-half the predictive error of the two leading standards”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Predicted rates of energy expenditure exceeding those of the ACSM and Minimum Mechanics equations were present throughout but were most pronounced for the inclined portions of the course.
“Predicted rates of energy expenditure exceeding those of the ACSM and Minimum Mechanics equations were present throughout but were most pronounced for the inclined portions of the course (Fig. 7) as our laboratory tests suggested would be the case (14, Fig. 4C).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
The discussion of Fig. 4C says the ACSM equation generally overpredicted metabolic rates on inclines, rather than falling below them. The Predictive Accuracy of Existing Standard Models section likewise describes consistent ACSM overprediction during inclined walking. The cited laboratory results therefore do not support the claimed direction of the difference on inclines. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe remaining +8% predictive error of the ACSM equation seems most likely attributable to consistent overpredictions observed across all positive grades under treadmill conditions.
“The remaining +8% predictive error seems most likely attributable to consistent overpredictions observed across all positive grades under treadmill conditions (14, Fig. 4C).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
The study deviated from the general practice of quantifying the accuracy of prediction for individual subjects because of the small sample sizes necessitated by the demanding field-testing protocols.
“In this regard, we deviated from the general practice (14, 15) of quantifying the accuracy of prediction for individual subjects. We did not do so here because of the small sample sizes necessitated by our demanding field-testing protocols.”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
Implementing the simple downhill coefficient of 0.73 times the walking portion of the body's metabolic rate on level gradients reduced the overprediction of the ACSM equation by 5%.
“We eliminated this limitation by implementing the simple downhill coefficient validated in an earlier study (14) of 0.73 times the walking portion of the body’s metabolic rate (i.e., total V̇o2 minus resting V̇o2) on level gradients. This lone adjustment reduced the overprediction of the ACSM equation by 5%.”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
Despite a somewhat limited empirical basis for negative gradients, the full Pandolf/Santee equation performs relatively accurately under laboratory conditions, particularly across speed on the declines tested.
“Nonetheless, and despite a somewhat limited empirical basis for negative gradients, the full equation performs relatively accurately under laboratory conditions, particularly across speed on the declines tested (14, Fig. 4E and Fig. 5E).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
The linear treatment of the V̇o2 versus speed relationship, which is well-known to be curvilinear, compromises predictive accuracy somewhat across speed, but to a relatively small degree.
“The linear treatment of a relationship well-known to be curvilinear (14, 36–38) does compromise predictive accuracy somewhat across speed, but to a relatively small degree (36, Fig. 4C).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
The Pandolf/Santee equation is likely biased slightly low throughout the very slow speed range even when the lower cost of asphalt versus treadmill walking at slower speeds measured here is considered, but its formulation avoids the progressive overpredictions of each of the other three equations as walking speeds approach zero.
“Although the Pandolf/Santee equation is likely biased slightly low throughout this very slow speed range (14, Figs. 4 and 5E) even when the lower cost of asphalt versus treadmill walking at slower speeds measured here is considered (Fig. 2; 18), the equation formulation avoids the progressive overpredictions of each of the other three equations as walking speeds approach zero (Fig. 8).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
Based on the empirical information available, the Pandolf/Santee equation is probably moderately low at the slower speeds, but less so than measured at these speeds in the laboratory due to the relatively lower rates of energy expenditure observed for overground versus treadmill walking at slower speeds here.
“Based on the empirical information available, the Pandolf/Santee equation (14, Fig. 4C) is probably moderately low at the slower speeds, but less so than measured at these speeds in the laboratory due to the relatively lower rates of energy expenditure we observed for overground versus treadmill walking at slower speeds here (Fig. 2).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Two different means are reported for measured standing metabolism
MinorThe results give the measured mean standing metabolic rate as 3.51, while the appendix gives it as 3.53 in the same units. Both passages describe the study's measured standing rates, without identifying different groups.
“the mean measured standing rate was 3.51 Ϯ 0.08 ml O 2 •kg Ϫ1 •min Ϫ1”
“The mean standing metabolic rate we measured under postabsorptive conditions here of 3.53 Ϯ 0.08 ml O2•kg Ϫ1 •min Ϫ1 is representative of this difference.”
ACSM predictions on lower grades are described in opposite directions
MinorThe modified Bland-Altman results say the ACSM equation tended to underpredict metabolic rates at lower grades. Elsewhere, the paper says it overpredicted declined grades, which are the lower grades in the study.
“In both cases, the established standardized equations tended to underpredict metabolic rates at lower grades and lower metabolic rates and overpredict at higher ones.”
“The ACSM equation generally overpredicted declined and inclined values while slightly underpredicting level values.”
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Metadata
- Authors
- Ludlow, L. W., & Weyand, P. G.
- Affiliations
- Southern Methodist University (US)
- Locomotor Performance Laboratory, Department of Applied Physiology and Wellness, Southern Methodist University, Dallas, Texas
- Venue
- Journal of applied physiology
- Publisher
- American Physiological Society
- Published
- 2017-11-01
- Volume
- 123
- Issue
- 5
- Pages
- 1288-1302
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2736695185
- Semantic Scholar
- 0c454453c4d1c21d0700f3f16f035bc2e2f3fa8c
- Cited by
- 47
- References
- 77
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 4 · 2022: 7 · 2021: 10 · 2020: 4 · 2019: 4 · 2018: 4
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Applied Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Keywords
- walking economy, energy expenditure, oxygen consumption, walking speed, gravity loads, metabolic rate prediction, support force, loaded walking, treadmill walking
- MeSH terms
- Walking Speed, Adult, Biomechanical Phenomena, Exercise Test, Female, Forecasting, Gravitation, Humans, Male, Walking, Weight-Bearing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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