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Volume 88, Issue 11, Pages 1446-1451 (November 2007)


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Normalizing Lower-Extremity Strength Data for Children Without Disability Using Allometric Scaling

Tishya A. Wren, PhDabCorresponding Author Informationemail address, Jack R. Engsberg, PhDcd

Abstract 

Wren TA, Engsberg JR. Normalizing lower-extremity strength data for children without disability using allometric scaling.

Objectives

To evaluate existing approaches for normalizing lower-extremity strength data and to develop normalization equations using allometric scaling in children without disabilities.

Design

Cross-sectional study evaluating traditional mass normalization and allometry as methods of adjusting lower-extremity muscle torques for the influence of body mass.

Setting

Motion analysis laboratory.

Participants

Thirty-nine children without disability (age range, 4−17y).

Interventions

Not applicable.

Main Outcome Measures

Maximum torque generated during hip abduction and adduction, knee extension and flexion, and ankle dorsiflexion and plantarflexion.

Results

Linear regressions of torque/mass1.0 versus body mass and age produced slopes that differed significantly from zero (P<.001) for all muscle groups except the ankle plantarflexors versus body mass (P=.28). Regressions for torque/body mass index also produced slopes that differed significantly from zero (P<.001). Regressions of torque/(mass × height) produced slopes that differed from zero in some cases but not others. Allometric scaling exponents (exponent b) differed significantly from the theoretical value of 1.0 for all muscle groups except the ankle plantarflexors (1.32; 95% confidence interval, 0.98−1.67). Linear regressions performed using torque/massb produced slopes that did not differ significantly from zero for all muscle groups (P≥.10). Regressions performed using torque/mass1.6 for the hip and knee and torque/mass1.4 for the ankle also produced slopes that did not differ significantly from zero.

Conclusions

Traditional mass normalization does not effectively adjust for the influence of body mass. Allometric scaling performed using torque/mass1.6 for the hip and knee or torque/mass1.4 for the ankle provides more appropriate normalization.

Article Outline

Abstract

Methods

Results

Discussion

Study Limitations

Conclusions

References

Copyright

COMPARING OBJECTIVE OUTCOME data among different patients or longitudinally within the same patient is a critical aspect of the scientific process. In children, such comparisons are often confounded by changes associated with growth. Increases in strength, for example, may result from a training program, but they may also simply occur with growth.1, 2, 3, 4, 5, 6, 7 To accurately assess the effects of such a training program, methods are needed to adjust or normalize for the effects caused by growth. Without such normalization, body size or other growth-related parameters may confound the data to such an extent that meaningful comparisons of strength measurements between groups, patients, or timepoints cannot be made.

Previous clinical investigations of strength in children have used various normalization procedures to account for differences in body size. The approach most commonly used for lower-extremity strength data in both children and adults is to divide force or torque measurements by the individual subject’s mass.8, 9, 10, 11, 12, 13 After such normalization, strength comparisons have been made between groups of children who varied in size. However, no evidence has been provided to show that this normalization process is effective in eliminating the influence of size as a confounding factor in the analysis. The primary reason this ratio or simple mass normalization is used is simplicity and lack of alternatives that have been proven to be effective.

A more general approach that is widely used to normalize physiologic variables in other fields involves allometric scaling based on a power law equation.11, 14 However, this approach has not previously been applied to muscle physiology or muscle strength testing. Allometric scaling has the advantage of not assuming a specific a priori relationship between strength measures and measures of body size (eg, mass, mass by leg length, body mass index [BMI]). The variable of interest, for example, muscle strength (S), is modeled as a general function of a confounding variable, for example, body mass (m), by the equation Sn=S/mb, where Sn is the normalized strength and b is the allometric scaling parameter.11 The exponent b can be determined either through theoretical analysis or through empirical fitting of experimental data. For the theoretical method, geometric similarity is usually assumed (area ∝ length2, mass ∝ volume ∝ length3). Under this assumption, the scaling parameter would be b equal to 1.0 for muscle torque (torque ∝ area × length ∝ length3) and b equal to .67 for muscle force (force ∝ area ∝ length2).11

Although the theoretical scaling equation for torque (ie, b=1) is identical to the simple mass normalization used in previous studies, evaluations investigating the validity of this relationship for minimizing the influence of size as a confounding factor are scarce. It is possible that the theoretical relationships do not work because of biologic deviations from geometric similarity.11 It is also possible that different values for b are required for different groups of children because of differences in anatomy or physiology.15, 16, 17, 18 The purpose of this investigation was to evaluate and develop normalization equations for lower-extremity strength in children without disabilities.

Methods 

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This study retrospectively examined strength results from 39 children without disability ages 4 to 17 years.19 All procedures were conducted in accordance with institutional review board standards. Demographics of the study subjects are presented in table 1. Subjects were recruited through parents within the hospital community by word of mouth.19 Subjects provided the data used to develop normalization equations for peak joint torques at the hip, knee, and ankle. Because preliminary analyses indicated no significant differences in age, mass, or peak torques between girls and boys (see table 1), the data from both sexes were pooled. All subjects underwent testing on an isokinetic dynamometer to determine the maximum torque they could produce for the ankle plantarflexors and dorsiflexors, knee flexors and extensors, and hip adductors and abductors.8, 9, 10, 20, 21 For the ankle, subjects sat on a KinCom dynamometera and had their ankle joint axis aligned with the center of rotation of the KinCom lever arm.9, 20 The pelvis and thigh were secured with self-adhesive (Velcro) straps. A custom footplate including Velcro straps was made to securely hold small feet on the plate. The hip was placed in about a 90° angle, whereas the knee was in about 25° of flexion. Wedges and other support structures were used to permit children of all sizes to achieve these positions.

Table 1.

Characteristics of the Study Subjects

CharacteristicsMale (n=19)Female (n=20)P
Age (y)10.3±3.8(4.3–16.5)9.5±3.1(4.4–15.8).52
Height (cm)139.2±25.4(98.0–181.0)136.2±17.1(109.0–163.0).66
Mass (kg)38.6±18.4(14.1–75.0)34.3±12.8(17.3–59.5).41
BMI (kg/m2)18.6±3.3(14.7–27.2)17.9±3.5(14.5–28.3).51
Hip abduction strength (Nm)47.5±32.1(2.4–126.8)34.2±17.5(5.7–75.0).13
Hip adduction strength (Nm)55.3±40.9(3.0–140.3)36.4±21.2(7.2–85.7).09
Knee extension strength (Nm)80.1±62.0(10.5–187.5)60.2±40.0(6.4–162.0).25
Knee flexion strength (Nm)40.8±29.9(3.6–102.8)33.5±20.2(8.1–73.8).38
Ankle dorsiflexion strength (Nm)17.6±12.6(1.6–45.8)15.1±7.3(5.0–31.2).46
Ankle plantarflexion strength (Nm)43.0±30.5(2.4–124.2)39.4±18.6(18.9–79.1).66

NOTE. Values are mean ± standard deviation (range).

Difference between males and females.

A physical therapist established the range of motion (ROM) limits for ankle dorsiflexion and plantarflexion. Each subject actively moved their ankle at 10°/s from end-range ankle dorsiflexion to end-range plantarflexion and vice versa to obtain maximum concentric contractions of the ankle plantarflexors and dorsiflexors, respectively. A movement speed of 10°/s in the passive mode was selected because previous experimentation indicated that some children could not produce enough torque to initiate movement of the KinCom’s support arm and others could not keep up with the arm at faster speeds. Isometric contractions were not used because they did not quantify torque over an entire ROM, thereby potentially missing the joint angle in which the greatest torque could be produced.8 Thus, 10°/s was a slow enough speed to be close to an isometric contraction, but strength was assessed over the entire joint ROM.

At the knee, each child was seated in a similar position as with the ankle testing, which included thigh and pelvis straps.8 The knee joint axis was aligned with the center of rotation of the KinCom lever arm. The leg of the child was attached to the KinCom support arm with Velcro straps. The range was from full knee extension to about 60° below the horizontal, and the movement speed was again 10°/s.

At the hip, each child lay supine on the KinCom dynamometer bench and had his/her hip joint abduction and adduction axis aligned with the center of rotation of the KinCom lever arm.10 The pelvis was stabilized with a belt and with the aid of a research assistant. End-range hip abduction and adduction limits were established by the physical therapist with a slight amount of hip flexion to permit the heel to clear the bench during the movement. ROM limits were set at the point in which further movement in a direction resulted in lateral pelvic tilt. Caution was taken to maintain the lower extremity in resting knee extension and neutral rotation within the child’s bony alignment limits. The movement speed was 10°/s.

Three to 5 repetitions of each movement were performed to permit the subjects to achieve their best performance; however, only the test results indicating the greatest amount of torque produced were used in the analysis. Determining the best performance was relatively simple because the dynamometer automatically overlaid the data on the monitor for consecutive tests. The maximum torque values for both dorsiflexion and plantarflexion were recorded.

The process to develop the normalization equations involved 3 steps. First, existing normalization methods were examined using linear regression. The normalization procedures evaluated included the traditional normalization method of simply dividing the strength value by subject mass (torque/mass1.0), normalization by mass by height, and normalization by BMI. If these were effective normalization schemes, then the regressions would produce slopes that were not significantly different from zero. A 2-tailed t test with α equal to .05 was used to determine if the slopes differed significantly from zero.

Next, allometric scaling equations were derived based on the previously described equation Sn=S/mb. The exponent b=bmusc was determined for each muscle group by fitting a best-fit power curve (S=Sn×mb) to the experimental data, where S is the measured torque, m is body mass, and Sn and bmusc are the empirically determined curve-fit parameters. We used 95% confidence intervals (CIs) for bmusc to determine whether the exponents differed significantly from the theoretical value of 1.0. As with the first step, each allometric normalization equation was applied to the data and tested to determine if its slope from linear regression was different from zero.

Finally, in an attempt to establish a single exponent (bavg) that could be used to normalize the strength data for the major muscles of the lower extremity (ie, hip, knee, ankle), an average value bavg was calculated from the different values obtained from each of the 6 muscle groups. The torques from each muscle group were normalized by using this average exponent, and the results were again tested to determine if the slopes from linear regression were different from zero.

Results 

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The initial linear regressions with torque/mass1.0 (simple mass normalization having b=1) indicated that the slopes for the hip, knee, and ankle dorsiflexor muscles differed significantly from zero (P<.001) (table 2, fig 1). Only the slope for the ankle plantarflexors versus body mass did not differ significantly from zero (P=.28). The regressions for torque/(mass × height) had slopes that differed from zero in some cases and slopes that did not differ from zero in other cases (see table 2). All of the slopes for torque/BMI differed significantly from zero (P<.001).

Table 2.

Slope of Linear Regressions Versus Body Mass and Age

Strength MeasureBody Mass Slope ± SE (95% CI)PAge Slope ± SE (95% CI)P
Torque/mass (Nm/kg)
Hip abduction.012±.003(.006to.018)<.0016.0±0.8(4.4–7.6)<.001
Hip adduction.016±.004(.008to.024)<.0017.9±0.9(6.2–9.8)<.001
Knee extension.030±.007(.017to.043)<.00113.8±1.1(11.6–15.9)<.001
Knee flexion.013±.003(.007to.018)<.0016.2±0.6(5.0–7.5)<.001
Ankle dorsiflexion.004±.001(.002to.006)<.0012.1±0.3(1.4–2.8)<.001
Ankle plantarflexion.004±.004(−.004to.013).284.3±1.0(2.4–6.3)<.001
Torque/mass × height (N/kg)
Hip abduction.002±002(−.002to.007).35.016±.010(−.005to.036).13
Hip adduction.004±.003(−.002to.010).15.032±.012(.008to.057).01
Knee extension.012±.004(.003to.020).009.091±.015(.060to.122)<.001
Knee flexion.003±.002(.000to.007).07.025±.007(.010to.040).001
Ankle dorsiflexion.001±.001(−.001to.002).46.001±.003(−.005to.008).71
Ankle plantarflexion−.003±.003(−.009to.003).36−.011±.014(−.038to.017).44
Torque/BMI (Nm3/kg)
Hip abduction.060±.006(.048–.072)<.001.27±.03(.22–.33)<.001
Hip adduction.075±.009(.058–.094)<.001.37±.03(.30–.44)<.001
Knee extension.118±.017(.084–.153)<.001.66±.05(.56–.76)<.001
Knee flexion.058±.007(.044–.071)<.001.29±.02(.24–.34)<.001
Ankle dorsiflexion.022±.002(.018–.027)<.001.10±.01(.07–.12)<.001
Ankle plantarflexion.041±.009(.024–.059)<.001.19±.04(.10–.27)<.001
Torque/massbmusc
Hip abduction−.001±.0003(−.001to.0001).10−.001±.001(−.004to.002).67
Hip adduction−.0004±.0004(−.001to.0004).29.001±.002(−.003to.004).64
Knee extension−.0002±.0003(−.001to.0003).42.002±.001(−.0005to.004).11
Knee flexion−.0002±.0003(−.001to.0004).48.002±.001(−.001to.005).24
Ankle dorsiflexion−.0002±.0002(−.001to.0002).27−.0005±.001(−.002to.001).57
Ankle plantarflexion−.001±.001(−.004to.002).42−.002±.007(−.016to.011).73
Torque/massbavg
Hip abduction−.0005±.0004(−.001to.0004).29.0002±.002(−.004to.004).92
Hip adduction−.0002±.001(−.001to.001).66.003±.002(−.002to.007).28
Knee extension.001±.001(−.001to.002).38.011±.003(.005to.017)<.001
Knee flexion−.0002±.0003(−.001to.0004).48.002±.001(−.001to.005).24
Ankle dorsiflexion−.00003±.0002(−.001to.0005).90.0003±.001(−.002to.003).81
Ankle plantarflexion−.001±.001(−.003to.001).16−.004±.005(−.014to.006).41

Abbreviation: SE, standard error.


View full-size image.

Fig 1. Linear regression of mass-normalized torques versus body mass. Abbreviations: abd, abduction; add, adduction; DF, dorsiflexion; ext, extension; flex, flexion; max, maximum; PF, plantarflexion;


The results for determining the allometric scaling exponents indicated different values of bmusc for each muscle group (table 3). The exponents differed significantly from the theoretical value of 1.0 for all measures except ankle plantarflexion (see table 3). The slopes from the linear regressions with different values of b for each muscle group indicated no significant difference from zero (P≥.10) (fig 2). The average value of the allometric scaling exponents from the 6 muscle groups (bavg) was 1.6. The slopes from the linear regressions versus body mass using bavg for all muscle groups indicated no significant difference from zero for the hip and knee (P≥.29). However, the slope did differ significantly from zero for the ankle (P<.05). A separate common value (bankle) was, therefore, derived for the ankle by averaging the b values for ankle dorsiflexion and plantarflexion because these values did not differ significantly from each other. Using the average value of bankle equal to 1.4 produced regressions with slopes that did not differ significantly from zero.

Table 3.

Allometric Scaling Parameters (bmusc) for Maximum Torque Versus Body Mass

MotionScaling Parameter (95% CI)
Hip abduction1.66(1.35–1.98)
Hip adduction1.68(1.36–2.00)
Knee extension1.87(1.54–2.21)
Knee flexion1.59(1.35–1.84)
Ankle dorsiflexion1.47(1.27–1.68)
Ankle plantarflexion1.32(0.98–1.67)

Significant difference from 1.0.


View full-size image.

Fig 2. Linear regression of torques normalized using allometric scaling with empirically determined scaling exponents (bmusc) versus body mass. Abbreviations: see fig 1.


Discussion 

return to Article Outline

The purpose of this investigation was to evaluate and develop normalization equations for lower-extremity strength in children without disabilities. The influence of growth and size on muscle strength is well recognized. However, there has been no systematic approach to adjusting for growth when assessing strength. Most studies8, 9, 10, 11, 12, 13 use either simple mass normalization or no normalization, although other approaches such as normalization by weight by height have also been applied.22

The results of this study clearly show that simple mass normalization of lower-extremity torques does not effectively adjust for size in children without disability. Joint torques continue to increase with body mass after simple mass normalization (see fig 1). Hence, this current and widely used method may not be appropriate for comparing strength longitudinally or between groups that include children of different sizes. This deviation from geometric similarity is not surprising because it is well known that growth is not proportional. The disproportionate increases in torque (b>1.0) may be caused by improved coordination, more efficient neuromuscular activity, and/or increases in muscularity as the neuromuscular and musculoskeletal systems mature. These processes may occur at different rates and to different extents across various muscle groups. It is, therefore, not clear whether different b values should be expected for different muscle groups. Our preliminary results suggest greater similarity between the hip and knee muscles, with larger differences at the ankle.

This study examined allometry as a possible alternative to simple mass normalization and other existing normalization approaches. The allometric scaling techniques used in this study provided a simple and effective means to account for growth in children without disability. To our knowledge, this study is the first to report empirically derived scaling parameters for peak muscle torques in children. More exact values with smaller CIs may be obtained in the future by applying the same techniques to a larger group of subjects. Currently, it appears that a single normalization equation could be used for the hip and knee but that a different equation is needed for the ankle. It remains to be determined whether this result holds for a larger group of subjects. It would also be desirable to test the normalization equations on a separate group of children without disability, which was not possible in this study.

Study Limitations 

There are a number of limitations associated with the present study, and the results and discussion should be viewed under this context. The first limitation is that only 39 subjects were used in the analysis with an age range of 4 to 17 years. The small sample size results in large CIs for the scaling factors. The scaling factors presented here should, therefore, be considered preliminary and primarily illustrative of the usefulness of the allometric scaling approach. The second limitation is that strength differences because of sex were not examined in the present investigation because there were no significant strength differences in our limited sample. However, strength differences because of sex are a factor as the children pass through puberty.1, 4, 5, 6, 23 It is not clear whether the relationship between strength and body size differs between boys and girls after puberty because the observed strength differences may result primarily from the larger body size of postpubertal boys. Nevertheless, it is possible that different allometric scaling exponents will be required for boys and girls after a certain age or maturity level. It is also possible that different scaling exponents would be needed for children at the extremes of body habitus or fitness, such as obese children or teenage athletes.

Conclusions 

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Because maximum torques at the hip, knee, and ankle do not scale geometrically with body mass, simple mass normalization may not be an appropriate measure for cross-sectional or longitudinal comparisons of strength in children. The allometric scaling equations derived in this study provide more effective normalization than using body mass, body mass by height, or BMI for children without disability and may also be used for comparisons between subjects without disability and other groups of children such as those with cerebral palsy.

Supplier

References 

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a Children’s Orthopaedic Center, Children’s Hospital Los Angeles, Los Angeles, CA

b Departments of Orthopaedics, Radiology, and Biomedical Engineering, University of Southern California, Los Angeles, CA

c Human Performance Laboratory, Barnes-Jewish Hospital, St. Louis, MO

d Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO.

Corresponding Author InformationReprint requests to Tishya A. Wren, PhD, 4650 Sunset Blvd #69, Los Angeles, CA 90027

 Supported by the National Institute for Neurological Disorders and Stroke, National Institutes of Health (grant no. R01 NS35830).

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

a Chattanooga Group, 4717 Adams Rd, Hixson, TN 37343.

PII: S0003-9993(07)01289-0

doi:10.1016/j.apmr.2007.06.775


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