Review Article | Open Access
Nurul Azira Azizan, Khairul Salleh Basaruddin, Ahmad Faizal Salleh, "The Effects of Leg Length Discrepancy on Stability and Kinematics-Kinetics Deviations: A Systematic Review", Applied Bionics and Biomechanics, vol. 2018, Article ID 5156348, 22 pages, 2018. https://doi.org/10.1155/2018/5156348
The Effects of Leg Length Discrepancy on Stability and Kinematics-Kinetics Deviations: A Systematic Review
Various studies have examined body posture stability, including postural sway and associated biomechanical parameters, to assess the severity effects of leg length discrepancy (LLD). However, various viewpoints have been articulated on the results of these studies because of certain drawbacks in the comprehensive analysis of the effect of variations in LLD magnitude. Therefore, this systematic review was performed to help focus on the current findings to help identify which biomechanical parameters are most relevant, commonly used, and able to distinguish and/or have specific clinical relevance to the effect of variations in LLD magnitude during static (standing) and dynamic (walking) conditions. Several electronic databases containing studies from the year 1983 to 2016 (Scopus, ScienceDirect, PubMed, PMC, and ProQuest) were obtained in our literature search. The search process yielded 22 published articles that fulfilled our criteria. We found most of the published data that we analyzed to be inconsistent, and very little data was obtained on the correlation between LLD severity and changes in body posture stability during standing and walking. However, the results of the present review study are in line with previous observational studies, which describe asymmetry in the lower limbs corresponding to biomechanical parameters such as gait kinematics, kinetics, and other parameters described during static (standing) postural balance. In future investigations, we believe that it might be useful to use and exploit other balance-related factors that may potentially influence body posture stability.
Leg length discrepancy (LLD) is also known as anisomelia, which is the term that is frequently used in the literature to describe the phenomenon of unequal lengths of the lower limbs . LLD can be divided into two main subtypes—structural LLD, which is concerned with the shortening of bone structures, and functional LLD, which is defined as any mechanical changes that alter the posture of the lower extremities, for example, knee flexion. A report study from 2007 stated that LLD occurred almost in 70% of the general population . Recently, researchers have found that only 1/1000 people who have LLD greater than 2 cm have noted changes in biomechanical gait [3, 4]. It has been observed that various common factors such as pain and arthritis may lead to spine, knee, and hip distress in patients and cause functional LLD .
It has been shown that biomechanical changes, such as those in plantar flexion and ankle posture, during standing and walking contribute to pelvic tilt in the coronal and sagittal planes [5, 6]. These findings cannot be extrapolated to all other relevant studies, of which only a few evaluated postural sway by assessing additional variable parameters such as center of pressure (COP), center of mass (COM), and other kinetics parameters [7–9].The authors feel that the analyses of COP, COM alone, and other parameters as stated above are likely to become more common in the future and this can affect balance and postural stability, which can be used as an indicator of static and dynamic control via postural sway. Recently, gait analysis has been used to evaluate biomechanical and physiological parameters during standing or walking with the use of a force platform device [10, 11]. Many evidence-based medical studies have been conducted to assess biomechanical changes that correspond to patient demographic characteristics and the environment. For example, patients with osteoarthritis and LLD after total hip arthroplasty (THA) may need to adapt to adjustment strategies to regain stability during locomotion [12–14]. Recently, many studies have been conducted to assess the correlation between biomechanical parameters and environmental factors in cases of LLD. To date though, how does LLD affect the kinematics and kinetics of gait and how does LLD affect standing still balance  and walking  remain unclear. Among the different methods for assessing balance and postural stability, the different types of LLD could be affected differently by the grade of LLD. Hence, the present systematic review provides a summary of the literature on body posture stability and considers the different outcomes and relevant biomechanical parameters such as kinematics and kinetics affected by the different degrees of LLD.
2.1. Literature Search
Peer-reviewed journal articles were obtained by searching electronic databases such as Scopus (1983–2016), ScienceDirect (2002–2016), PubMed (2001–2016), PMC (1999–2016), Medline (2010–2016), and ProQuest (2000–2016). The key words “leg length discrepancy,” “postural stability,” and “postural sway” were used as search terms to find studies relating to the effects of structural LLD on postural body stability. A Medical Subject Headings search was used to broaden the search using combinations of keywords which included “kinematic,” “kinetic,” and “gait analysis.” All online biomechanical papers were retrieved and screened to ensure that the results of the database search were relevant and related to other articles. The final finding was done to restrict our findings to the scope of the articles. The relevant articles that were chosen were based on the scope of the study for any human abnormalities in lower extremities. Additional citation/articles are also included to support the argument and case from the selected articles.
2.2. Inclusion/Exclusion Criteria
The literature search only included articles written in English. For convenience, we only included studies with experimental protocols that used a quantified measure of body postural control and performed gait analysis using laboratory devices such as force platforms or other specialized equipment. It is beyond the scope of the present study to examine simulation software modeling; however, studies were considered if they used human participants with different medical backgrounds and if their illness or comorbidities did not affect LLD or posture balancing (in standing and walking). In contrast, patients with amputated limbs or neuromuscular disorders were excluded. Studies that assessed gait analysis using prosthetic designs, shoe soles, and wooden blocks were included. No limitations were applied with regard to age, sex, BMI, and time of LLD occurrence of the participants. Articles from the same author were thoroughly checked to avoid any duplicate articles.
2.3. Quality Controls
Screening of the search results was performed by two authors (Nurul Azira Azizan, Khairul Salleh Basaruddin) per inclusion criteria. Following screening, final articles were retrieved and separated accordingly from the duplicated articles in different databases. Titles and abstracts were read thoroughly, and those that met the following criteria were included: (1) human participants, (2) focus on asymmetry of limbs, (3) measured posture balance stability, and (4) reviewed study design of experimental protocol.
2.4. Assessment of Research Quality
The assessment of articles used a systematic quality method for review and analysis, which helped assessing the quality of retrieved articles and the most relevant information from those articles. Aside from those in the current review described here, there are no standardized methods to assess the credibility of each of the reviewed paper. To assess credibility, 14 questions were adopted from Ku et al. . Each question was evaluated as “2” if the answer fulfilling the standard questions was “yes” and “1” if it was limited in detailed information. Invalid questions were given “0” or “no,” and not applicable questions were given “NA.” It should be noted here that the adequacy of the biomechanical LLD evaluation of standing and walking for balance stability was resolved through discussion by each author.
3.1. Primary Search Results
The findings were limited in terms of quantity of information, and the authors then performed full-text reviews of articles. Twenty-two retrieved articles were finalized after a thorough screening process was performed. Figure 1 shows the present study’s systematic review process. The database screening process yielded a total of 873 articles. However, 360 of these articles were identified as duplicates and removed. Titles and abstracts were reviewed for the relevance of the studies performed, after which 453 articles were further excluded. Additional screening was executed by reading the rest of the articles in totality to determine the aims of studies based on the standard parameters that was evaluated. This yielded 22 articles that considered standing and walking posture for LLD cases after eliminating further 40 articles.
3.2. Analyzed Data Quality
Quality ratings of the 22 reviewed papers are listed in Table 1. The quality score of the reviewed articles ranged from 76.92% to 96.43%. Most of the articles provided complete information regarding their objectives, study design, main outcomes, and conclusions based on the 14 questions we used. Other factors that could have contributed to the understanding of the question were not used in this study.
Significance evaluation: 2: yes; 1: limited detail; 0: no; NA: not applicable.
3.3. Participant Characteristics
Table 2 presents a list of the physical characteristics and anthropometric parameters from the 22 articles that we reviewed comprehensively. Seven articles compared a healthy group (control) and LLD group [3–5, 7–11, 13, 16, 17]. There was a notable paucity of well-controlled studies investigating participants in groups that had various disorders: (1) after total hip arthroplasty, (2) knee osteoarthritis, (3) lower back pain , and (4) acromegaly [16–19]. Most of the participants were adults, young adults, average-age adults, and older adults, whereas very few published studies focused on children with Legg–Calvé–Perthes disease (LCPD) [16, 19]. Several articles provided complete information on patient characteristics. Seven of the studies provided insufficient details regarding gender [2, 4, 5, 7, 10, 18] and anthropometric parameters . The highest number of participants seen studied in an experiment was 60, whereas the lowest was two.
NM: not mentioned; THA: total hip arthroplasty; LLD: leg length discrepancy; LBP: lower back pain; LCPD: Legg–Calvé–Perthes disease; SD: standard deviation; OA: osteoarthritis
3.4. Experimental Study Procedures
There are two possible approaches that have been used for the investigation of LLD, where nine articles studied on congenital LLD [2, 12, 16, 19–24] and 13 articles studied on induced artificial LLD [3–5, 7–11, 13, 14, 17, 18] as listed in Table 3. Most of the studies performed their experiments during walking. However, 11 articles also conducted experiments during standing. Most cases of artificially induced LLD were created by providing participants with insoles of differing thickness, with the exception of one study in which a gait walker was used . Twelve studies performed three to five trials when measuring walking performance or balance and posture while standing. Meanwhile, nine of the studies did not clearly provide the number of trials used. Only Zhang et al. , Resende et al. [3, 18], and Maeda et al.  had clearly stated the number of trials performed for each condition in their experiments.
GRF: ground reaction force; ROM: range of motion; COM: center of mass; WD: weight distribution; LL: long limb; OS: offset; THA: total hip arthroplasty; LLD: leg length discrepancy; ML: medial-lateral; AP: anterior-posterior; OA: osteoarthritis: SD: standard deviation: COP: center of pressure: COF: center of occlusal force; LWD: lateral weight distribution; AWD: anterior weight distribution; Max.: maximum; NM: not mentioned; NA: not applicable; TPA: thermoplastic copolyamides.
Previous studies have tested the efficacy of balance performance by using various force platforms including the Vicon Systems [9, 11, 20], Musgrave™ pedobarographs [10, 13, 14], footprint pressure plate systems [13, 14], zebris , MatScan and T-Scan II computerized occlusal analysis systems , scanograms , Berg Balance Scale , and photogrammetry and mechanical electric elevation treatment tables . In some studies, static posture was measured using tape measurements [5, 19, 21], goniometers , video recording , palpation meter inclinometers, and bubble inclinometers . From ten articles using reflective markers [2, 3, 7, 8, 11, 12, 19, 20, 23], only two mentioned the total number of reflective markers used [11, 12]; however, five articles mentioned the anatomical landmarks used for marker placement, such as the tibial tubercles (ankle and subtalar joints at the foot) ; pelvis, thighs, shanks, and feet (anterior and posterior regions for multisegment recordings) [3, 20]; thigh, foot, pelvis, anterior-posterior (AP) iliac spines and iliac crest, greater lateral trochanter, medial-lateral (ML) epicondyles and malleoli, head of first and fifth metatarsals at the feet, and ankle ; and medial malleolus, medial femoral condyle and major trochanter for hips, and knees and ankles . In addition, the insole material used to induce artificial LLD also has a significant influence on the changes in kinematics parameters, for instance, ankle eversion and hip abduction . There are several materials that are commonly being used (flexible polyurethane, polypropylene, wooden boards, high-density ethylene vinyl acetate, pelite, hard cork, leather nylon mesh tissue, plastazote ethylene vinyl acetate and poron, thermoplastic alloy (TPA), and foot mask).
3.5. Kinematics and Kinetics Responses
Table 4 lists the summary of the kinematics and kinetics responses for congenital or artificial LLD with respect to posture stability. It provides outcome measurements from gait analysis of kinematics parameters [2–5, 8, 10, 11, 15, 20, 23] and kinetics parameters [9, 14, 19]. All studies used different LLD degrees during standing or walking with a view of multiple planes. Recently, only six articles used sagittal and frontal planes to examine the postural effects of LLD, whereas only one article analyzed all planes . It can be seen in Table 4 that the majority of directions used were the AP, ML, and bilateral (BL). Several studies stated that the participants were selected based on a degree of homogeneity at several different levels of LLD between 0 and 5 cm. There were 24 kinematics parameters (as listed in Table 4) that were used in LLD analysis, including ankle eversion/dorsiflexion angle; hip and knee adduction angle; hip extension angle; knee flexion angle; pelvic obliquity angle; foot dorsiflexion; plantar flexion and inversion angle; trunk and pelvic external-internal rotation; trunk forward tilt; pelvis lateral tilt; range of motion for the ankle, knee, and hip; mean peak plantar pressure; stance contact duration; contact area; maximum foot pronation and supination; head horizontal alignment; and anterior-superior iliac spine horizontal alignment. Fourteen kinetics parameters were found in the reviewed articles, including weight distribution (WD); ankle inversion/dorsiflexion/flexion/plantar flexion moment; knee flexion/adduction moment; hip flexion/adduction/extension moment; power for ankle, knee, and hip; and vertical ground reaction force (VGRF). Based on the reviewed articles, the statistical significance was analyzed using SPSS software [11, 18] including t-tests [6, 11, 13], Kruskal–Wallis tests, chi-squared tests , Kalmogorov–Smirnov tests, Shapiro–Wilk tests [3, 15, 20, 23], Wilcoxon signed-rank tests , Mann–Whitney U tests , one-way repeated measures analysis (ANOVA) [5, 23], two-way multivariate ANOVA, Friedman two-way ANOVA, and Dunn’s multiple comparisons [9, 21] as deemed appropriate for each study. The influence of sample size on the magnitude of the effect for group differences was also analyzed by the two articles [16, 20] using Cohen’s d.
HHA: head horizontal alignment; AHA: acromion horizontal alignment; ASISHA: anterior-superior iliac spine horizontal alignment; AcaSISA: angle between the acromion and anterior-superior iliac spine alignment; RLFA: right limb frontal angle; LLFA: left limb frontal angle; DBLL: difference between lower limbs; TTHA: tibia tuberosity horizontal angle; RHA: right hip angle; LHA: left hip angle; RLHA: right leg-heel angle; LLHA: left leg-heel angle; HVA: head vertical alignment; TVA: trunk vertical alignment; HA: hip angle; BVA: body vertical alignment; PHA: pelvis horizontal alignment; KA: knee angle; AA: ankle angle; BL: bilateral; FP: foot pronation; FS: foot supination; LWD: lateral weight distribution; AWD: anterior weight distribution; BS: bilateral-sagittal; CL: contralateral; (R): right side; (L): left side; (°): angle
3.6. Other Parameters
Table 5 summarizes the parameters used to measure postural balance control including mean center of pressure (COP), COP path length, COP total trajectory length, COP area, and center of mass (COM). These parameters were separated due to the specific objectives focused by the researcher based on their scope of study. Intervention on this information is important to acquire direct knowledge of the parameters used to describe postural stability. Only three articles provided the sample rate and length of experiments using a force platform over several changes in LLD degree [6, 9, 24]. The parameters stated above contributed to an asymmetrical gait while standing or walking in each gait cycle, and posture conditions are as follows: (1) heel strike to toe-off and stance ; (2) heel to toe from midline of the right foot to the left foot along the AP and ML axes ; (3) AP and ML during eyes-open and eyes-closed trials ; (4) AP and ML [5, 10, 15]; (5) natural standing posture-centric occlusion, right heel lift-centric occlusion, left heel lift-centric occlusion; and (6) feet apart during eyes-open and eyes-closed trials .
LL: left leg; RL: right leg; COP: center of pressure; AP: anterior-posterior; ML: medial-lateral; EO: eyes open; EC: eyes closed.
4.1. Quality of Search
The purpose of this systematic review was to examine reliable biomechanical parameters that are commonly used to distinguish and/or have specific clinical relevance to the effect of variations in LLD magnitude during static (standing) and dynamic (walking) conditions. Comparing parameters used in each study is crucial in understanding how to improve postural control in cases of LLD. Based on previous research, the consideration of these two related cases, that is, congenital and artificially induced LLD, should not be discussed in separate tables, since both cases are involve in the findings in Tables 3, 4, and 5. In the present study, 22 articles were included, whereby 14 of them were further analyzed for their kinematics and kinetics parameters related to LLD. The 8 remaining articles were analyzed and summarized based on the postural sway parameters; however, Walsh et al.  and Murrell et al.  described four basic kinds of validity: logical, content, criterion, and construct of their paper in order to refer and select papers in this study. Specifically, no meta-analysis was performed for the quality assessment of the methods, whereas there were shortcomings with the interpretation that were affected by the tasks performed, task duration, task difficulty, and sample rate of data collection. Standardized protocols would systematically improve the results of such studies to avoid any uncertainty and bias in the results.
In the reviewed studies, additional discussion can be divided into participant’s characteristics and demographics, kinematics, and kinetics responses. Subsequently, evaluation of static (standing) activity of postural control is discussed since it is the factor that most studies in LLD are involved with. Participant characteristics were heterogeneous and there was a tendency to categorize patients into groups based on sex (female or male), number of participants, and anthropometric parameters (age, height, weight, and BMI). Lopes et al.  observed no significant differences between healthy participants and patients with anisomelia regarding age, weight, height, or BMI, whereas D’Amico et al.  observed that the participants’ heights need to be taken into account, which was subsequently done by several authors [1, 2, 4, 11]. This is because taller participants show slightly higher LLD. Several authors [3, 5, 10, 11, 22, 23] attempted to draw fine distinctions between mild (difference < 3 cm), moderate (between 3 cm and 6 cm), and severe (>6 cm) LLD, while others questioned the usefulness of different categories because participants in different clinical and experimental LLD studies varied in gender, age, and weight . Regarding the category or conditions in the group of studies, Lopes et al.  reported no significant differences between the control and acromegaly groups. This is contradicted by Wünnemann et al. , who only studied healthy participants and neglected true patients since their gait could be disturbed by other factors such as pain and neuromuscular dysfunction influencing motor control. Although differences of opinion on the types of LLD still exist, three articles investigating control groups (healthy participants) and experimental groups (LLD symptoms) [2, 15, 24] found that true LLD leads to less stability than healthy controls showed. Only Ali et al.  demonstrated that changing the foot position by 1 cm affected the foot posture by changing it from pronation to supination. Only a few studies available in the literature investigated the correlation between LLD type and body posture stability.
4.2. Kinematics and Kinetics Responses
A few published studies have provided quantitative evidence of the changes in biomechanical parameters corresponding to the degree of LLD. Several studies have tested the efficacy of kinematics and kinetics parameters during standing, walking, or both. Additional parameters such as step length, step duration, stride length, stride duration, single leg support, and double leg support for gait analysis appear to have an influence on behavioral aspects of LLD types with respect to the different changes that occur during gait. It has been shown that there are changes in balance adjustment when the WD was concentrated more in the shorter limb than the longer limb. However, Swaminathan et al.  found a significant difference when the height of the right leg was raised. This finding is in agreement with Maeda et al.  and Aiona et al. Reference  is shown significant difference when the height of the right leg was raised. This result is somewhat counterintuitive, considering that no significant difference in right and left leg control is seen with 0.1 cm change in height in the coronal and sagittal planes. However, according to the degree of LLD height, WD has a significant influence when the LLD is increased to 6 cm or more in the coronal plane or 4 cm or more in the sagittal plane . The study by  approach showed little evidence for a correlation between kinematics parameter and posture stability. The finding regarding WD is helpful in providing insight to orthopedists or physiotherapists for limb lengthening to prevent future rehabilitation needs.
However, from the viewpoint of kinematics responses, Resende et al.  found that the shorter limb demonstrated increased ankle plantar flexion angles during the loading response phase in the sagittal plane . This change is also supported by other articles. Stief et al.  reported significant differences in ankle dorsiflexion moments, and the shorter limb was affected while increasing pelvic obliquity. This effect was only found for changes in the sagittal plane. Walsh et al.  reported that pelvic obliquity in the sagittal plane showed significant changes when LLD was induced artificially at 2.5 cm, which is also supported by Stief et al.  and Resende et al. . These findings occurred in both static standing and walking conditions. Furthermore, kinematics parameters accommodate larger discrepancies by altering movement in the coronal plane, which was observed by Resende et al.  and Wünnemann et al. . Parameters that also play an important role are the range of motion at the ankle, knee, and hip during stance phase [11, 16, 25] in the sagittal and coronal planes. Zhang et al.  tried to determine the effect of the VGRF response by comparing the patterns between raising the heel in the longer leg and shorter leg (as a control) during terminal stance phase, which resulted in dissimilar patterns, because the loading response showed a higher impact on the longer leg. Park et al. , Wünnemann et al. , and Maeda et al.  induced artificial LLD between the left and right legs as a control. Additional parameters that may be relevant for LLD analysis, including step length, step duration, and single leg support, support the assertion that no significant changes are seen from 0 cm to 1 cm but there are changes from 2 cm to 3 cm. The most surprising finding is that the stride length and stride duration showed no significant differences during walking.
Further, Faraj et al.  studied mean peak plantar pressure, stance contact duration, and contact area, which showed significant changes in the coronal plane at ±2.25 cm LLD. A broader perspective was adopted by Seeley et al. , who argued that LLD between 1.0 cm and 2.3 cm exhibited significantly less symmetrical gait in the ankle and knee joint moments compared to LLD that is less than 1 cm. This finding was contradicted by Murrell et al. , who found very little differences between LLD degrees (≥1 cm and <1 cm) for several of the dependent kinetics variables. Moreover, kinetics parameters such as power and moment have been carried out on each direction and position (flexion, abduction, and extension) for the ankle, hip, and knee. Various studies indicated that ankle dorsiflexion, hip flexion, pelvic anteversion, and pelvic retroversion occurred during mild LLD in the frontal plane [3, 16]. No significant differences were seen in the sagittal plane during walking , while another author demonstrated that changes in the sagittal plane created small but significant changes . The plane in which movement was viewed relates to the method used, for example, in radiography (CT scan, X-ray, and scanogram) [5, 9, 19, 22, 23]. However, Zhang et al.  were much more concerned with the materials used for sole inserts or the method as raised heel heights lead to decreases in knee and hip abductors based on the joint kinetics and to increases in the knee extensors. But this was contradicted by Mahar et al.  who argued that increased LLD results in no increase in postural sway. Overall, the evidence demonstrates greater need to assure the effects of leg length discrepancy for body stability in terms of the participant’s confidence level (fear of fall) and trial testing for each experimental condition.
4.3. Evaluation in Static (Standing) Balance
Recent studies on LLD deal with the effects of LLD on the body’s stability and posture. It has been documented that ML position of COP 1 cm towards the longer limb increased the magnitude of postural sway in a study done by Ki et al. , who pointed out that any increase in LLD led to an increase in COP path length. Furthermore, Maeda et al.  argued that COP (total trajectory and area) did not affect postural stability with a heel lift (<1 cm) under either foot. Several COP parameters (mean, total length trajectory, path length, and locus contact area) showed significant changes in the study by Ki et al. . COP path length was significantly longer when LLD was at least 3 cm (mild LLD), and this clearly shows changes in body stability caused by LLD during standing; this was also demonstrated by Maeda et al. . Mahar et al.  performed a similar series of experiments in the 1960s to show that mean COP position affects postural sway during walking. They demonstrated that 1 cm LLD caused changes in the ML direction. Recent studies on LLD deal with the question of the effect of LLD on body stability and posture.
Although research has been conducted into the effects of dynamic WD on static function, there are no articles examining the dynamic function. High BMI will show larger variations in biomechanical parameters; however, there are no studies to show the correlation between biomechanical parameters and patients’ characteristics, such as anthropometric parameters (age, height, weight, and BMI) [4, 11, 22, 26]. The interactions and contributions of these factors cannot be found in the literature search done by us/our team. Although early findings were only limited to different sexes, there were no studies found with participants of the same sex with different pathological disorders. However, all the previously mentioned methods suffer from some limitations in this review, such as the fact that the search strategy only used English databases. The reporting criteria were not necessarily limited to relevant standard methods in the present study.
The present review shows 22 most common articles with specific parameters published until now. In this study, we noticed that LLD patients are often better predictors of imbalance compared to the normal population due to the changes that occur to their posture and physical shortcomings. This review focused on kinematics, kinetics, and other variable parameters that are associated with the effects of LLD on body stability. Each of the parameters was associated with the effects of height, confidence levels, and age effects, which correlated with the elevation of LLD. However, previous researchers [3, 5, 17] have noted that there are no specific parameters to describe postural stability due to inconsistencies found in relevant studies that have been done. No concrete data was found on correlations between height and weight with the other parameters mentioned, though they certainly contributed to changes in body posture and stability in cases of LLD. Therefore, investigation into the influence of the body height and weight ratio with respect to the degree of artificial LLD is recommended to be carried out in future studies.
Conflicts of Interest
The authors declare that they do not have any conflict of interest which could affect the outcome of this study.
This review study was financially supported by the Malaysia Fundamental Research Grant Scheme (FRGS) grant. This work was financially supported by the Ministry of Higher Education Malaysia under the fundamental research grant scheme (FRGS/1/2016/TK03/UNIMAP/02/5).
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