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. 2008 Aug 11;1:13–18. doi: 10.2147/mder.s3714

Hip joint load in relation to leg length discrepancy

Per Wretenberg 1,, Anders Hugo 1, Eva Broström 2
PMCID: PMC3417904  PMID: 22915902

Abstract

Objective:

Leg length discrepancy is common both in healthy subjects and after total hip arthroplasty (THA). Studies that evaluated leg length following THA have demonstrated a notable inconsistency in restoring leg length. The effects concerning joint load during gait is however not well known. The purpose of this study was to use three-dimensional (3D) gait analysis to evaluate joint load during gait with a simulated leg length discrepancy of 2 and 4 cm. Nine healthy subjects without any history of hip injury participated.

Method:

A 3D gait analysis (Vicon, Motion System, Oxford, England) was performed with 6 cameras and 2 force palates using a standard biomechanical gait model. Hip joint moments of force were calculated for all three degrees of motion freedom. ANOVA for repeated measurements was used for statistical calculations.

Results:

Abduction peak moment was significantly increased at the short side (P < 0.05) but unaffected on the long side. The adduction moment decreased on the long side between 0 and 4 cm (P < 0.01) but was unaffected on the short side. The internal hip rotation moments were unchanged for both the long and the short side. The external rotation moment was unchanged on the short side and decreased between bare foot and 4 cm on the long side (P < 0.05).

Conclusion:

A leg length discrepancy of 2 cm or more creates biomechanical changes concerning hip joint load both on the long and the short side and that the effects are larger on the short side. The increased stress may cause problems in the long run.

Keywords: gait analyses, leg length discrepancy, hip, biomechanics

Introduction

Gait analysis is a very powerful method for detailed analysis of gait pattern as joint angles and moments of forces during gait (Gutierrez 2003; Broström 2004). The method can be used to evaluate common clinical problems and also for pre operative planning and evaluation after surgical intervention.

Leg length discrepancy is relatively common in normal healthy subjects and is usually considered a minor clinical problem (McCaw and Bates 1991). However, leg length discrepancy following total hip arthroplasty (THA) is related to many different problems such as patient dissatisfaction (White 1994; Hoffman and Skrzynski 2000), problems from the leg and back (Gofton and Trueman 1971; Friberg 1983), pain, and instability (Woolson 1990; Ranawat and Rodriguez 1997). Re-operation to equalize limb lengths has even been described (Parvizi et al 2003). Other studies describe no correlation between leg length difference and functional outcome or patient satisfaction (White and Dougall 2002) and that problems related to leg length discrepancy after THA emerge with time (Parvizi et al 2003). Early studies that evaluate leg length following hip arthroplasty have demonstrated a notable inconsistency in restoring leg length (Wiliamson and Reckling 1978) and newer studies describe different techniques to minimize the problem during operation (Woolson et al 1999; Matsuda et al 2006). It has been shown that the limping gait following leg length discrepancy leads to increased oxygen uptake and increased greater rating of perceived exertion, which means a less economic gait (Gruney et al 2001). Although leg length discrepancy is well known as a factor in discomfort after THA, the effects of moderate leg length discrepancy on hip load during gait is not well known. It has been shown that differences in leg length is associated with alteration of ground reaction forces, but it has also been concluded that leg length discrepancy of the sort commonly seen after THA would likely cause no substantial changes in hip forces (Brand and Yack 1996).

The aim of this study was to evaluate the effects of internal hip joint load during gait.

Subjects and methods

Subjects

Nine healthy male subjects with a mean age 34 (29–41) years and no history of previous surgery of the lower limbs and no leg length discrepancy volunteered for the study. They performed normal gait barefoot and gait with shoes where the right foot was elevated 2 and 4 cm.

Gait analysis

For the gait analysis a three-dimensional (3D) motion analysis system with 6 cameras (Vicon, Motion System, Oxford, England) was used. Retro-reflective markers (25 mm) were attached bilaterally by the same investigator (E.B.) onto the patient’s skin over standardized bony landmarks. Data collection was done at a frequency of 100 Hz. The lower model was modeled according to Kadaba and colleagues (1990) and the upper body was modeled as the thorax, upper and lower arms, hands, and head (Broström et al 2002; Gutierrez et al 2006) according to the Plug-in-Gait model (Figure 1). Only the data from the lower model are reported here. A walking trial is a 10 meter walk on the gait lane with complete collection of data. Three complete walking trials were performed to obtain kinematic, kinetic, and time-distance parameters. All data were averaged across trials. Two force plates (Kistler, Basel, Switzerland) were used to collect ground reaction forces normalized to body weight. A walking trial was considered complete if the patient’s right or left foot had a clean contact on the force plate.

Figure 1.

Figure 1

Biomechanical gait model (Plug-in-Gait, Vicon Motion Systems). 34 reflective markers (25 mm) were attached bilaterally by the same investigator (E.B.) onto the patient’s skin over standardized bony landmarks (head, trunk, arms, pelvis, legs, and feet).

The Vicon Plug-in-Gait model was used for the evaluation of all parameters. The lower body was modeled as 7 segments (pelvis, 2 thighs, 2 shanks, and 2 feet) and the upper body was considered as one segment. A normal gait cycle was defined from initial heel-to-heel contact with the same limb. The hip joint moments were calculated in 3D continuously during the gait cycle and are presented. We calculated the hip joint moment of force on both the long and the short side and the maximum peak values were analyzed. The data are presented as Nm/kg. This means that the peak moment of force is divided with body weight for normalization purposes.

All subjects were asked to walk barefoot along a 10 m long walkway at a self-selected walking speed. The switch between no shoe lift (barefoot) and the 20 mm and 40 mm shoe lift at the right side was randomized.

Statistical analysis

A parametric ANOVA for repeated measurements were used as statistical method. All values are presented as means and standard deviation. The level of significance was P ≤ 0.05. All statistical analyses were performed using Statistica 6.0 (StatSoft Inc., Tulsa, OK, USA).

Results

The moment curves for all subjects and conditions in the three planes are shown in Figure 2a, b, and c. In the frontal plane the peak abduction moments are shown in Figure 3a. There was an increased moment at the short side, both when the other side was elongated 2 cm (P < 0.005) and 4 cm (P < 0.006). At the elongated side, however, the net abduction peak moment was unaffected. The peak adduction moment decreased on the long side between 0 and 4 cm (P < 0.02) but not significantly between 0 and 2 cm (P < 0.08) Figure 3b. The average increase in peak hip joint moment of force between 2 and 4 cm was not significant. In the transverse plane the internal peak hip rotation moments showed an increasing tendency both on the long and the short side but the increase was not significant Figure 3c. The external peak rotation moment was unchanged for the short side and decreased between no shoe lift and 4 cm shoe lift (P < 0.04) Figure 3d. In the sagittal plane maximum hip extension and flexion moment did not show any differences between the short and long side.

Figure 2a.

Figure 2a

Hip joint internal and external rotation moments during whole gait cycle.

Figure 3a.

Figure 3a

Internal peak hip abduction moments.

Figure 3b.

Figure 3b

Internal peak hip adduction moments.

Figure 3c.

Figure 3c

Internal peak hip internal rotation moments.

Figure 3d.

Figure 3d

Internal peak hip external rotation moments.

Discussion

Most patients who undergo total hip replacement can expect dramatic improvement in their preoperative hip pain. However, post-operative leg length discrepancy can result in significant impaired postoperative function and dissatisfaction and all effort should be made to try to avoid it. The most common treatment for post-operative leg length discrepancy is to make a shoe lift on the shorter side and many patients are satisfied with that. We still believe that it is of interest to evaluate the actual biomechanical effects of the created change. It has been shown that ground reaction forces are increased with increasing leg length discrepancy (Brand and Yack 1996), but the internal load calculated as moment of force for 2 and 4 cm discrepancy are unknown. In the present study we choose to simulate leg length discrepancy instead of doing gait analysis on patients with an actual discrepancy. We did this mainly to be able to standardize the length discrepancy. It has also been shown in a convincing way that simulated leg length discrepancy gives rise to changes in gait pattern that are very similar to what can be analyzed for real leg length discrepancy (White et al 2004). The motion and load patterns shown in this study should thereby be possible to convert to a real situation. With this kind of noninvasive technique it is not possible to calculate the actual changes in muscular tension and actual forces across the joint. The simulated model created a difference in leg length but did not like in a real case produce an elongation of the actual muscles involved. This means that the moments of force calculated here must be seen as a minimum load change. In a real case the increased tension of the muscles due to internal anatomy changes ad to the here calculated external moments by creating larger muscle forces. This is of course a disadvantage but with a noninvasive technique, the load changes related to the internal muscle force is not possible to measure.

Our results show that a leg length discrepancy already of 2 cm creates changes in hip moments both on the long and the short side. Increased load was mainly found on the short side but load pattern is altered also on the long side. The tendency of increasing moments on the long side was clear for internal rotation moments, however not significantly in this study. An increase in rotational moments is a clear disadvantage since it leads to increased torsion forces on the stem implant. We believe that the changes in hip joint load both on the long and the short side must be regarded as a disadvantage since the natural load with well balanced and counteracting moments is disturbed. The main finding was however that the abduction moment was increased with height on the short side. An increase in hip abduction moment results in an increased stress on the stem implant. The increase is about 0.1 Nm/kg. With a weight of 75 kg the increased stress is about 7.5 Nm for each step. With an average of around 2 million steps per year the cumulative increase in load is substantial. To our knowledge, data on prosthetic loosening in relation to leg length discrepancy has not been evaluated, but an obvious increase of an altered load on both hips as shown in this study must be considered. Our study clearly shows biomechanical disadvantages of leg length discrepancy and in our opinion it is of great importance to try to avoid it in a operative situation. We also believe that a leg length discrepancy of 2 cm or more should be compensated.

Figure 2b.

Figure 2b

Hip joint abduction and adduction moments during whole gait cycle.

Figure 2c.

Figure 2c

Hip joint flexion and extension moments during whole gait cycle.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

References

  1. Brand RA, Yack HJ. Effects of leg length discrepancies on forces at the hip joint. Clin Orthop. 1996;333:172–80. [PubMed] [Google Scholar]
  2. Broström E. Juvenile idiopathic arthritis: Disease consequences and treatment effects on muscle strength, gait and pain [thesis] Stockholm: Karolinska University Press; 2004. [Google Scholar]
  3. Broström E, Haglund-Åkerlind Y, Hagelberg S. Gait in children with juvenile chronic arthritis-timing and force parameters. Scand J Rheumatol. 2002;31:317–23. doi: 10.1080/030097402320817022. [DOI] [PubMed] [Google Scholar]
  4. Friberg O. Clinical symptoms and biomechanics of lumbar spine and hip joint in leg length inequality. Spine. 1983;8:643–51. doi: 10.1097/00007632-198309000-00010. [DOI] [PubMed] [Google Scholar]
  5. Gofton JP, Trueman GE. Studies in osteoarthritis of the hip: Part II. Osteoarthritis of the hip and leg length disparity. CMAJ. 1971;104:791–9. [PMC free article] [PubMed] [Google Scholar]
  6. Gurney B, Mermier C, Robergs R, et al. Effects of limb-length discrepancy on gait economy and lower extremity muscle activity in older adults. J Bone Joint Surg. 2001;83-A:907–15. doi: 10.2106/00004623-200106000-00013. [DOI] [PubMed] [Google Scholar]
  7. Gutierrez EM. Gait strategy in myelomeningocele [thesis] Stockholm: Karolinska University Press; 2003. [Google Scholar]
  8. Gutierrez-Farewik EM, Bartonek A, Haglund-Akerlind Y, et al. Comparision and evaluation of two common methods to measure center of mass displacement in three dimensions during gait. Hum Mov Sci. 2006;25:238–56. doi: 10.1016/j.humov.2005.11.001. [DOI] [PubMed] [Google Scholar]
  9. Hoffamn AA, Skrzynski MC. Leg-length inequality and nerve palsy in total hip arthroplasy: a lawyer await! Orthopedics. 2000;23:943–4. doi: 10.3928/0147-7447-20000901-20. [DOI] [PubMed] [Google Scholar]
  10. Kadaba MP, Ramakrishnan HK, Wooten ME. Measurement of lower extremity kinematics during level walking. J Orthop Res. 1990;8:383–92. doi: 10.1002/jor.1100080310. [DOI] [PubMed] [Google Scholar]
  11. McCaw ST, Bates BT. Biomechanical implications of mild leg length inequality. Br J Sports Med. 1991;25:10–3. doi: 10.1136/bjsm.25.1.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Matsuda K, Nakumura S, Matsushita T. A simple method to minimize limb-length discrepancy after hip arthroplasty. Acta Orthopaedica. 2006;77:375–9. doi: 10.1080/17453670610046280. [DOI] [PubMed] [Google Scholar]
  13. Parvizi J, Sharkey PF, Bisset BA, et al. Surgical treatment of limb-length discrepancy following total hip arthroplasty. J Bone Joint Surg. 2003;85-A:2310–16. doi: 10.2106/00004623-200312000-00007. [DOI] [PubMed] [Google Scholar]
  14. Ranawat CS, Rodriguez JA. Functional leg-length inequality following total hip arthroplasty. J Arthroplasty. 1997;12:359–64. doi: 10.1016/s0883-5403(97)90190-x. [DOI] [PubMed] [Google Scholar]
  15. White AB. Probes closed claim causes. AAOS Bulletin. 1994:26–7. [Google Scholar]
  16. White TO, Dougall TW. Arthroplasty of the hip. Leg length is not important. J Bone Joint Surg. 2002;84-B:338–48. doi: 10.1302/0301-620x.84b3.12460. [DOI] [PubMed] [Google Scholar]
  17. White SC, Gilchrist LA, Wilk B. Asymmetric limb loading with true or simulated leg-length differences. Clinical Orthop. 2004;421:287–92. doi: 10.1097/01.blo.0000119460.33630.6d. [DOI] [PubMed] [Google Scholar]
  18. Wiliamson JA, Reckling FW. Limb length discrepancy and related problems following total hip replacement. Clin Orthop. 1978;134:135–8. [PubMed] [Google Scholar]
  19. Woolson ST. Leg length equalization during total hip replacement. Orthopaedics. 1990;113:17–21. doi: 10.3928/0147-7447-19900101-05. [DOI] [PubMed] [Google Scholar]
  20. Woolson ST, Hartford JM, Sawyer A. Results of a method of leg-length equalization for patients undergoing primary total hip replacement. J Arthroplasty. 1999;14:159–64. doi: 10.1016/s0883-5403(99)90119-5. [DOI] [PubMed] [Google Scholar]

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