Skip to main content

Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis



Clinicians commonly examine posture and movement in people with the belief that correcting dysfunctional movement may reduce pain. If dysfunctional movement is to be accurately identified, clinicians should know what constitutes normal movement and how this differs in people with low back pain (LBP). This systematic review examined studies that compared biomechanical aspects of lumbo-pelvic movement in people with and without LBP.


MEDLINE, Cochrane Central, EMBASE, AMI, CINAHL, Scopus, AMED, ISI Web of Science were searched from inception until January 2014 for relevant studies. Studies had to compare adults with and without LBP using skin surface measurement techniques to measure lumbo-pelvic posture or movement. Two reviewers independently applied inclusion and exclusion criteria, and identified and extracted data. Standardised mean differences and 95% confidence intervals were estimated for group differences between people with and without LBP, and where possible, meta-analyses were performed. Within-group variability in all measurements was also compared.


The search identified 43 eligible studies. Compared to people without LBP, on average, people with LBP display: (i) no difference in lordosis angle (8 studies), (ii) reduced lumbar ROM (19 studies), (iii) no difference in lumbar relative to hip contribution to end-range flexion (4 studies), (iv) no difference in standing pelvic tilt angle (3 studies), (v) slower movement (8 studies), and (vi) reduced proprioception (17 studies). Movement variability appeared greater for people with LBP for flexion, lateral flexion and rotation ROM, and movement speed, but not for other movement characteristics. Considerable heterogeneity exists between studies, including a lack of detail or standardization between studies on the criteria used to define participants as people with LBP (cases) or without LBP (controls).


On average, people with LBP have reduced lumbar ROM and proprioception, and move more slowly compared to people without LBP. Whether these deficits exist prior to LBP onset is unknown.

Peer Review reports


Observation of lumbo-pelvic movement and posture is a basic component of the physical examination of people with low back pain (LBP) [14] partly due to a common belief held by clinicians that identifying and correcting movement/postural aberration can improve pain and activity limitation [2, 5, 6]. Examination of lumbo-pelvic movement typically includes basic kinematic assessments, such as range of movement (ROM) and posture. It may also include higher order kinematics such as temporal and sequential patterns during physiological movements, proprioception, muscle activation patterns, postural sway and/or complex functional movements such as walking or lifting. If clinicians aim to ‘normalise’ dysfunctional movement, they need an empirical basis for (i) differentiating between normal and dysfunctional movement, and (ii) determining whether correction of dysfunctional movement might reduce pain and activity limitation. Measurement of movement and posture has been problematic in typical clinical settings due to limitations (practicality, accuracy, comprehensiveness, reliability) of simple measurement tools such as goniometers, tape measures and inclinometers [7]. Advances in technology are creating new opportunities, available for use in typical clinical settings, that measure comprehensive information about the relationship between movement/posture and pain [810].

Measurements reported in studies of lumbo-pelvic kinematics, such as ROM, vary considerably. This variability may be due to differences in measurement instruments or methods [11], biological differences in true range of movements, or errors in measurements. Intolo [12], in a systematic review into the effect of age on ROM, performed a meta-analysis of mean scores for lumbar ROM for 20-29 year olds. Across studies, the lowest reported group mean score for flexion was 24 ± 7° [13] while the highest was 75 ± 10° [14]. Similarly, mean scores for extension ranged from 13 ± 8° [13] to 41 ± 10° [15]. These large differences between studies are unlikely to be due to biological differences alone. Milosavljevic et al. [13] provided ROM estimates using a photographic method, Russell et al. [14] used an Isotrak system and Fitzgerald et al. [15] used a tape-measure (Schober) method [16]; such method differences are likely to account for a large proportion of observed differences. Similar variation is seen for axial rotation and lateral flexion movements. Extreme variations in reported ROM measurements limit confidence in clinical interpretations or treatment decisions based on measurements of an individual.

A search for reviews on what is known about typical movement in people with and without LBP identified one review on postural sway [17], and one review on age-related changes to lumbar spine ROM [12]. The qualitative review on postural sway, reported that 14 of 16 included papers concluded that people with LBP have greater postural sway excursion when compared to people without LBP. The review on age-related change to lumbar ROM reported a reduction in ROM associated with increasing age but did not include people with LBP and did not report mean ROM data. No reviews were found comparing people with and without LBP on any other movement characteristics. Therefore, we designed this review to systematically investigate and compare typical lumbo-pelvic movement differences between people with and without LBP, focusing on ROM, movement sequence and speed, a movement related measure of proprioception (positioning/re-positioning accuracy), pelvic tilt angles (in standing and sitting), and segmental body contributions to movement (lumbar versus hip contributions). We also compared differences in variability between the two groups.


Study selection: inclusion and exclusion criteria

For inclusion in the review, studies had to (i) assess adults >17 years; (ii) use non-invasive measurement systems (i.e. did not use measurements such as X-rays, CT scans); (iii) apply the same procedures to measure people with low back +/-leg pain (LBP group) and people without LBP (NoLBP group), (iv) measure at least one of lumbar lordosis, lumbar range of motion (ROM), speed/acceleration/timing of lumbar +/- hip movement, pelvic tilt angle (as measured by a line drawn from anterior to posterior superior iliac spines with an angle formed relative to horizontal, measured in sitting or standing), pelvic tilt ROM (defined as a range from maximum anterior tilt to maximum posterior tilt), usual sitting pelvic tilt position (i.e. relative to full anterior tilt), lumbar compared with hip contributions to ROM, lumbo-pelvic proprioceptive position/re-position accuracy; (v) report appropriate measurement means (or other point estimates) and variance estimates or data that enable estimation of these values. In order to fully survey published research on lumbo-pelvic movement, no specific definitions of back pain or control (NoLBP) groups were required but the definitions of LBP group, pain intensity and NoLBP group within each study were extracted. Studies were excluded if they (i) included people who had lumbar surgery in the previous 12 months; (ii) reported that subjects had fracture, neurological conditions, metabolic disease, neoplasm, or scoliosis; (iii) measured only whole body movement such as distance from finger-tip-to-floor or (iv) reported insufficient data, e.g. did not report measures of variability. Lead authors were contacted to obtain additional data as required.

Data sources

Eight electronic databases (MEDLINE, Cochrane Central Register of Controlled Trials (Central), EMBASE, AMI, CINAHL, Scopus, AMED, ISI Web of Science) were searched from inception until January 2014 using a broad search strategy based on relevant medical subject heading (MeSH) terms [18] (see Additional file 1). The search yield was initially screened for eligibility by one reviewer (RL) on title and abstract to remove duplicates and clearly unrelated articles. Following this, two reviewers (RL and JG) independently identified potentially relevant articles based on title and abstract. Full text articles were retrieved and checked for compliance with inclusion and exclusion criteria. References of potentially relevant reports were reviewed for additional papers. Consensus by discussion was then reached on article inclusion. Where disagreement occurred, a third reviewer (JK) was included and discussion continued until consensus was achieved. A flow diagram of the study selection process based on PRISMA recommendations [19] is seen in Figure 1.

Figure 1
figure 1

Flow diagram of study inclusion.

Data extraction and study quality assessment

A checklist for data extraction was developed based on those used in a similar review [12] and published quality assessment tools [2022]. The following study details were extracted: participant age, sex, and source characteristics, inclusion/exclusion criteria, training of testers (profession, experience), measurement methods and procedures (instrument used, instructions to participants, position of testing), the movement characteristics assessed (e.g. range, speed, relative contributions of body segments), pain/function measures, measurements for those with and without back pain (e.g. means, standard deviations). A quality assessment tool, using a similar approach to Mieritz [23], was constructed to determine how each study accounted for possible sources of bias, and if the study provided details on: (i) study population (age, sex, BMI, source), (ii) participant LBP (chronicity, +/- leg pain, specific versus non-specific, pain intensity and activity limitation scores), (iii) measurement procedures (i.e. detail that would enable accurate replication of the experiment, instrument description, standardised movement instructions, movement process description e.g. fixed or free pelvis), (iv) blinding of assessors to the presence of back pain (yes/no), and (vi) whether the same assessment procedures were applied to participants with and without back pain (see Additional file 2). Two reviewers independently extracted data, compared results and resolved differences through discussion.

Data synthesis and analysis

Study details were extracted and summarised (Additional files 3 and 4). For each comparison, standardised mean differences (SMD) between groups with and without LBP were calculated using Revman software [24]. Pooled estimates of overall differences were calculated by meta-analysis of studies that measured a kinematic characteristic using comparable methods. For example studies on flexion ROM were included in a meta-analysis if subjects were standing using angular measurement but excluded if subjects were in other positions (i.e. four point kneeling) or if linear/distance measurements were used. Reasons for exclusion from meta-analysis are found in Additional file 3. A random effects model was used for pooling where fixed effects modeling indicated statistical heterogeneity of the data (Mantel-Haenszel method), as determined by chi-squared and I2 statistics; otherwise the results of fixed effects modeling was reported [25, 26].

We also planned to explore the within-group variability in each measured movement characteristic. To estimate whether variability for each movement characteristic differed between groups with and without LBP, a coefficient of variation (CoV) [27] (standard deviation in measurements divided by the group mean) was calculated for each movement parameter using those studies included in the relevant meta-analysis. CoVs were averaged after weighting for sample size. Differences between groups were examined by creating a ratio of weighted averages where ratios >1 indicate greater variability for those with LBP and ratios <1 indicate greater variability for those without LBP. Significant differences in pooled CoVs were examined by estimating 95% confidence intervals for observed ratios. The correlation (Pearson’s r) between effect size and study quality was calculated using STATA (version 12, Stata Corp, College Station, Texas USA).


Search yield

The search identified 17,276 potentially relevant articles with 13 articles identified from bibliographies of related articles or other sources. Following screening of title and abstract, full texts of 86 articles were retrieved. Forty three studies (45 articles) met the inclusion criteria [2870]. The study selection process is shown in Figure 1. A summary of included studies can be seen in Additional file 3. A list of studies retrieved in full text and subsequently excluded, and reasons for exclusion, are available from the first author on request.

Types of studies found

Included studies were grouped in categories: lordosis [31, 32, 38, 4749, 57, 58], range of movement (ROM) [29, 30, 34, 3742, 44, 47, 5054, 5659, 69, 71], relative hip and lumbar contribution to trunk flexion/extension [34, 40, 50, 52, 61, 71], pelvic angle/relative position and ROM [31, 32, 57, 58], speed/acceleration of lumbar movement [28, 34, 37, 39, 41, 42, 50, 71], and proprioception (repositioning accuracy) [33, 35, 45, 46, 53, 55, 6068, 70, 72]. Additional file 4 summarises the characteristics of included studies.

Definition of LBP and NoLBP groups

Case definition (LBP)

Of the 43 studies included, 48% provide no detail on diagnostic criteria, 37% defined their LBP participants as non-specific, and the remaining 15% used either a Quebec [73] or a movement based classification (see Additional file 5 for details). Fifty-six percent reported pain intensity scores.

Control definition (NoLBP)

A definition of control participants was provided by 60% of the 43 studies. Those definitions were highly variable, ranging from vague descriptions such as ‘no current pain’ (16%), six-months (14%), 12-months (14%) or 24-months (7%) pain free to ‘no LBP ever’ (9%).

Quality assessment

Table 1 lists the domains identified as potential sources of bias in the included studies and the percentage compliance with each item. No studies attempted blinding of assessors to group status, and only one study reported standardizing instructions to participants. The potential influence of study quality on reported differences between groups was examined for all groups. There was no significant correlation observed between total quality assessment scores and the magnitude of SMDs in measurements for those with and without LBP (r = 0.03), There was also no significant difference between individual items of quality assessment and the size of SMD. Results for individual studies are available in Additional file 5.

Table 1 Quality assessment summary (see Additional files  2  and  5  for item decision rules and scores for each included study)

Movement characteristics


A meta-analysis of eight studies comparing lumbar lordosis angle in people with and without LBP when standing is presented in Figure 2. Most studies reported small, non-significant differences between groups. The pooled difference (SMD = 0.01, 95% CI -0.09 to 0.11, p = 0.89) was not significant. A post-hoc meta-analysis of three studies that compared genders indicated that women had greater lordosis angles than men (SMD = 0.92, 95% CI 0.8 to 1.05, p < 0.01).

Figure 2
figure 2

Studies comparing lordosis in LBP versus NoLBP groups. Means & standard deviations (SD) are in degrees with the exception of Day et al. [32] who used an algebraic computation based on linear measurement.

Range of motion (ROM)

Meta-analyses of 26 ROM studies consistently found reduced range of movement of the lumbar spine in people with LBP. Figures 3, 4, 5 and 6 summarise the findings for flexion, extension, lateral flexion and rotation meta-analysis. Where studies measured bilateral movement, i.e. left and right rotation, weighted means and standard deviations were averaged. In some included studies, measurements from a single group without LBP were compared with a number of LBP groups, such as men and women or acute and chronic LBP. As the observed differences may not satisfy the statistical assumption of independence required for meta-analysis [74], the sample size of these groups without LBP used in the meta-analysis were divided by the number of comparisons made. Means and standard deviations (SD) are in degrees of movement.

Figure 3
figure 3

Flexion ROM meta-analysis.

Figure 4
figure 4

Extension ROM meta-analysis.

Figure 5
figure 5

Lateral flexion ROM meta-analysis.

Figure 6
figure 6

Rotation ROM meta-analysis.

Lumbar spine versus hip contribution to flexion/extension

Six studies examined the relative lumbar and hip contribution to flexion movements, five [34, 50, 52, 61, 71] during forward flexion, and one [40] returning from a fully flexed position. Four of five studies investigating forward flexion found no significant difference between those with and without LBP when comparing lumbar with hip contribution (ratio) to flexion ROM at end range. A non-significant but consistent effect favored reduced lumbar (compared with hip) contribution to flexion (Figure 7) for those with LBP (SMD = -0.21, 95% CI -0.52 to 0.09, p = 0.17). Three studies [34, 40, 52] found significant differences in the ‘through-range’ contribution of lumbar movement. Esola et al. [34] (SMD = -0.86, 95% CI -1.51 to -0.22) and Porter et al. [52] (SMD = -0.71 95% CI -1.43 to 0.00) both found significant reductions of lumbar contribution to mid-range flexion but not at end range. McClure et al. [40] found a greater contribution of the lumbar spine during mid-range return from the fully flexed position (relative extension) (SMD = 0.95 95% CI 0.10 to 1.81).

Figure 7
figure 7

Meta-analysis of studies investigating the relative contributions of lumbar versus hip ROM through the range of trunk flexion. Means (and SDs) are ratios of lumbar to hip movement. Zero represents equal lumbar to hip contribution to trunk flexion, numbers <0 indicate less lumbar compared with hip movement while numbers >0 indicate more hip than lumbar movement.

Pelvic tilt angle, relative position and tilt range

Three studies (four articles) examined usual pelvic tilt angle in standing [31, 32, 57, 58]. No significant differences were found between people with or without LBP for any study (see Table 1 for details). A small, non-significant but consistent effect favouring greater anterior pelvic tilt in people with LBP was evident when studies were pooled in meta-analysis (see Figure 8). Only Day et al. [32] compared differences between groups with and without LBP in full anterior and posterior tilt positions, and found a significant difference for maximum anterior tilt angle (higher angle for people with LBP) :SMD = 0.73 (0.09 to 1.35, p = 0.02), but not maximum posterior tilt angle: SMD = 0.09 (-0.53 to 0.7, p = 0.78)).

Figure 8
figure 8

Meta-analysis of studies comparing pelvic tilt angle in neutral standing.


Seven studies measured speed [34, 37, 39, 43, 50, 71, 75] and one measured acceleration [28]. Data on lumbar flexion speed/acceleration differences between groups with and without LBP were combined in meta-analysis (Figure 9). A large, significant effect of slower movement in the LBP group was evident (SMD -1.46 95% CI -1.96 to -1.02, p < .01).

Figure 9
figure 9

Forest plot of speed differences between LBP and NoLBP groups (original units are deg/sec or deg/sec 2 ).


Fifteen studies [33, 35, 45, 46, 53, 55, 60, 6268, 70, 76] measured position/reposition accuracy as a measure of lumbar spine proprioception (see Additional files 3, 4 and 6 for details). Twelve studies [35, 45, 46, 53, 60, 6264, 6870, 76] measured absolute error in re-positioning accuracy and were included in meta-analysis. One study measured the number of trials required to achieve accurate re-positioning [33], one measured motion detection, [55] one measured ability to achieve a described position [67] and two measured motion precision [65, 66] but were excluded from meta-analysis as data were not comparable. A consistent, large and significant reduction in ability to accurately re-position the spine at pre-specified angles for people with LBP compared to those without LBP is shown in Figure 10 (SMD = 1.04, 95% CI 0.64 to 1.45, p < 0.01). The studies included in this review using different types of assessments that precluded meta-analysis also found significant differences indicating reduced proprioception in the LBP group (26,55). Descarreaux et al. [33] tested if LBP subjects (divided into two groups according to normal or slow speed of force production on isometric resistance) compared to subjects without LBP, could accurately place the lumbar spine into various flexion angles. They determined that although both LBP and control groups demonstrated similar re-positioning accuracy, the LBP subgroup that developed slow isometric force (n = 9 of 16) required significantly more practice to achieve this (SMD = 1.87, 95% CI 0.89 to 2.85, p < 0.01). Taimela et al. [55] reported a significant reduction in the ability of people with chronic LBP to detect change in lumbar position when compared to a group without LBP but did not include data on variability required for meta-analysis. Field et al. [67] demonstrated reduced accuracy for people with LBP in achieving a demonstrated position in flexion when compared to people without LBP (SMD = 1.66, 95% CI 0.82 to 2.42, p < 0.01). Willigenberg et al. [65, 66] also identified reduced accuracy in both motion control, (SMD = 1.14, 95% CI 0.39 to 1.89, p < 0.01) and motion tracking in people with LBP (SMD = 1.08, 95% CI 0.32 to 1.84, p < 0.01).

Figure 10
figure 10

Forest plot of position/reposition differences (raw scores in degrees) comparing LBP and NoLBP groups.

A summary of standardised mean differences, across all the kinematic characteristics investigated, is shown in Table 2.

Table 2 Summary of pooled standardized mean differences

Differences in variability between groups

Table 3 presents a summary of the within group variability in movements pooled across studies. Significantly greater variability for people with LBP compared to people without LBP was observed on four of the eight measures: flexion, lateral flexion, rotation and speed/acceleration.

Table 3 Differences between the LBP and NoLBP in within-group variability on each movement characteristic and ratios of n-weighted mean coefficients of variation


This review summarised the results of studies of lumbo-pelvic kinematics for people with and without LBP. Although the results will be unsurprising to most clinicians, it is the first review to meta-analyse and quantify the clinical observation that, on average, people with LBP have reduced lumbar ROM, move more slowly and have reduced proprioception compared to with those without LBP.

The review highlights the highly heterogenous nature of available studies, with six of nine meta-analyses indicating significant between study heterogeneity in results. Possible sources of heterogeneity between study outcomes include differences in definitions of back pain, control characteristics, LBP intensity, and instruments and methods for measuring movements. This heterogeneity confounds secondary analyses such as the influence of pain intensity on observed differences between people with and without LBP.

The lack of detail or standardized definition for control subjects is also problematic. For example, it is hypothetically possible that altered movement characteristics occur as a result of a LBP episode and persist after pain resolves. If this is the case, people that were pain free but with persistent altered movements, would have been eligible as control subjects for many of the included studies, provided the episode had been prior to the pain-free time period required for that study. This would have diluted differences between the groups. Similarly, it is not known if certain ‘aberrant’ movement characteristics exist prior to the onset of LBP and are risk factors for an episode of LBP, in which case these characteristics may have also been present in people classified in the included studies as control subjects.

No studies attempted to blind assessors to group type, and a general absence of procedural standardization, such as movement instruction or assessor consistency, exposes studies to the potential for random or systematic error. However, the relative consistency of the direction of results across studies adds credibility to the findings of this review, and observed effects appear large enough to be visible despite potential study limitations.


Lordosis angle does not differentiate people with and without LBP. A similarly wide range of group means were reported for those with LBP (23° to 56°) and without LBP (19° to 53°). This variability might be associated with the six different measurement methods, but may also reflect biological differences in sample ethnicity [77], age [78] and gender [49, 57, 58]. Increasing age has been associated with reduced lordosis in the sixth decade [7880] and on average, females have a greater lordosis than males [49, 58, 80]. Four studies included only males [31, 32, 38, 47] and it is perhaps understandable that these studies found the four lowest average lordosis angles. However, this variability in lordosis appears similar for people with and without LBP. Therefore, lumbar lordosis when measured using surface techniques, does not, on average, appear to discriminate between people with and without LBP.

Range and speed of motion

Clinicians commonly use ROM [81] to assist in identifying patterns of dysfunction, and to monitor change. ROM has been extensively studied by invasive and non-invasive methods, but non-invasive measurement is better suited to routine clinical assessment. This review included 20 studies that compared ROM for those with and without LBP using skin-surface measurement. The pooled sample was large enough to be confident in the finding that people with LBP have reduced average lumbar ROM compared to those without LBP. The mean ROM reported for people without LBP is so variable that it has little reference value e.g. (considering all studies) flexion: min = 23°, max = 92°; extension: min = 15°, max = 56°, lateral flexion: min = 3°, max = 44°; rotation: min = 3°, max = 62°. Large variations between studies suggest differences beyond those explained by biological variation and implicate method differences. Using flexion ROM as an example, 14 studies used nine different measurement devices ranging in sophistication from simple handheld inclinometers and flexible rulers to opto-electronic devices. Youdas [57, 58] used a flexible rule measurement technique (mean lumbar flexion angle = 23 ± 10°) while Hidalgo [37] used an opto-electronic system (92 ± 15°); both studies used similar inclusion criteria, and the same starting position. Other method processes may also contribute to differences: two studies assessed range in sitting, 10 in relaxed standing, and two used some form of restricted movement (harness or fixed pelvic position). Based on these findings, normative data may have limited relevance to a clinical environment unless the same measurement methods used to obtain published data are also used in the clinical setting where they are applied. The lack of clarity about similarity between study populations and method details makes the use of pooled group-level estimates of movements, such as mean flexion ROM, unwise. However, these between-study differences did not obscure consistent within-study findings; eight of 14 studies of flexion demonstrated significantly less lumbar flexion for those with LBP and only one study found that lumbar flexion was significantly greater for those with LBP. These findings of large between study differences in measurements, and consistent within study differences between those with and without LBP, are similar for the other movements analysed in this review.

Lower movement speed is commonly seen in people with LBP, so it is unsurprising to observe in our review that those with LBP demonstrated significantly slower speeds when the eight included studies were pooled in meta-analysis. Reduced speed of lumbar movement has been linked to fear of movement and has also been shown to persist after recovery [82].

Lumbar versus hip contribution to movement

Clinicians have reported assessing the relative contribution of lumbar and hip joints (during flexion and extension movements) to assist in determining subgroups within the LBP population that require specific treatment strategies [83, 84]. This review identified six studies that measured patterns and relative contributions to trunk flexion from the lumbar spine and hip joints, often described as ‘lumbo-pelvic rhythm’. Data could be pooled for four studies (six comparisons) evaluating ROM of lumbar and hip contribution at end-range flexion. A typical pattern of lumbar versus hip movement for both groups showed less lumbar and greater hip ROM at end-range flexion, with small, non-significant differences of reduced lumbar contribution for the LBP group when compared to people without LBP.

However relative contributions of lumbar spine and hip to ROM may be less important than patterns of when and how movement takes place. Nelson-Wong et al. [84] recently reported that the relative timing of hip and lumbar movement when arising from a fully flexed position differentiated between people who do or do not develop back pain after two hours of standing. People who developed pain used a lumbar > hip initiation of movement (spine moves first followed by pelvic/hip movement) strategy on arising from the flexed position while non-pain developers used a hip > lumbar strategy (p = 0.03). This finding is supported by McClure et al. [40], Esola et al. [34] and Porter et al. [52] who all reported relatively greater lumbar through-range contribution in people with LBP on flexion movement. It may be that people with LBP can be subgrouped by lumbo-pelvic rhythm. For example, Kim et al. [61] examined lumbo-pelvic rhythm by comparing two subgroups of people with LBP to a group of people without LBP. One subgroup had pain provoked by flexion/rotation activities and the other by extension/rotation activity. The flexion-aggravated group had significantly greater lumbar contribution to flexion compared to the normal and extension groups. The extension-aggravated group on the other hand had a significant pattern of reduced lumbar contribution to flexion. Lumbar versus hip contributions to movement, particularly flexion, appear to have clinical relevance and warrant further exploration.

Pelvic tilt angle, position and range

Extreme (end-range) pelvic tilt angle in standing and sitting has been linked to back pain [85, 86] but with limited evidence. Clinical interventions aiming to modify pelvic tilt angle to achieve more neutral positions are based on the assumption that there is a relationship between position and pain. There are few studies that explore the relationship between LBP and typical pelvic tilt range (from full anterior to full posterior tilt) and the relative position of pelvic tilt angle during sitting and standing in people with and without LBP. This review found no differences when pooling data from three studies that compared standing pelvic tilt angle in people with and without LBP. Similarly, Astfalk et al. [85] found no differences in average lumbar flexion angle in sitting (reflecting pelvic tilt position) when comparing adolescents with and without LBP (125.3 ± 19.8° vs 130.6° ± 15.7 respectively). However significant differences were observed for lumbar flexion angle when adolescents with LBP were sub-grouped based on direction of movement that provoked pain. The flexion-provoked pain group had a significantly greater lumbar angle (135.6 ± 16.9°, p < 0.05) compared to those without LBP while the extension-provoked pain group had a significantly smaller lumbar angle (113.5 ± 16.3°, p < 0.05) when compared to those without LBP. Sub-grouping of a LBP population based on the relationship of aggravating activities and direction of painful movement may demonstrate associations between back pain and pelvic tilt angle/relative position.


Our meta-analysis of studies measuring one aspect of proprioception (absolute error during re-positioning trials) demonstrated a significant and large loss of re-positioning accuracy in the LBP group. The implications of reduced proprioception are that people with LBP are less ‘movement-aware’ with potentially reduced postural control. This is consistent with a recent systematic review on another aspect of proprioception, postural sway, by Ruhe et al. [17] who found that greater sway excursion and speed were present in people with LBP compared to people without back pain.

Differences in variability between people with and without LBP

Our assessment of differences in variability between people with and without LBP for nine movement characteristics demonstrated significantly greater variability for four movement characteristics: flexion, lateral flexion and rotation ROM, and speed of movement. There were no significant differences in variability for lordosis, extension ROM, lumbar versus hip contribution to movement or proprioception. It is not clear if the greater variability seen in the LBP group is clinically meaningful (10% difference in average variability estimates) but it raises a question of whether postures or activities performed using extremes of certain movement (e.g. excessive or restricted movement) may predispose people to LBP.

This review examined differences in group means for people with and without LBP. Given the high variability seen between studies, the small between-group differences compared with the high within-group differences, and the greater variability on some movement characteristics seen in the LBP group, these findings cast some doubt on whether an assessment of movements without reference to pain provides evidence of dysfunction at an individual patient level. The results neither endorse nor disqualify the role of movement assessment for (i) determining the relationship between movement and pain in individual patients, or (ii) monitoring changes in movement characteristics as a means of monitoring progress in individual patients and as an indication of the likelihood of their improvement [87]. Key questions also remain, including (a) are deficits such as reduced proprioception, reduced ROM and speed of movement a result or a cause of LBP, and (b) are these deficits present prior to the development of LBP?

Strengths and limitations

The strengths of this systematic review are the comprehensive search, the breadth of the movement characteristics included in the analysis, and that screening and data extraction were independently performed by two reviewers. In addition, the review only included studies that assessed people with and without LBP using the same within-study method, thereby removing method differences as an explanation for observed within-study differences.

The review also has limitations. We treated the data for people with LBP as if they were measurements of a homogenous group. It is possible that sub-grouping by using the relationship of pain to movement may increase the clinical utility of particular measurements. The findings in this review do not inform clinicians about whether changes in ROM, movement speed or proprioception will produce better outcomes, or if changes in movement characteristics precede the onset of LBP or predispose to future recurrences. In addition, due to an absence of translation resources, only articles published in English were included and this may introduce a language, cultural and/or publication bias. To maximize the number of included studies, we did not place any restrictions on the criteria used to define pain cases versus pain-free controls. However, our broad inclusion criteria are likely to have weakened, rather than strengthened differences seen between people with and without LBP, and in the included studies, higher pain intensities had a weak correlation with increased differences between the these groups.


This paper systematically summarised what is known about differences in measurements of lumbo-pelvic movement for people with and without back pain. It included 43 studies and synthesised information on six movement characteristics: lordosis, ROM, lumbar versus hip contribution, pelvic tilt, speed and proprioception. The results show that compared to people without pain, on average, people with LBP display (i) no difference in their lordosis angle (8 studies), (ii) a reduction of lumbar ROM in all directions of movement (26 studies), (iii) no difference in lumbar versus hip ROM contribution to full flexion (4 studies), (iv) no difference in pelvic tilt angle in standing (3 studies), (v) slower lumbar movement (7 studies), and (vi) poorer proprioception on position-reposition accuracy (15 studies). There is greater movement variability for people with LBP for flexion, lateral flexion and rotation ROM, and speed of movement, but this is not apparent for other movement characteristics. So put simply, when considered collectively, people with LBP have reduced lumbar ROM, move more slowly and have reduced proprioception compared with people without low back pain.



Low back pain


Range of motion


Standardised mean difference


People without low back pain.


  1. 1.

    Liebenson C: Rehabilitation of the spine: a practitioner’s manual. 2007, Baltimore: Lippincott Williams & Wilkins, 2

    Google Scholar 

  2. 2.

    Sahrmann S: Diagnosis and treatment of movement impairment syndromes. 2002, St Louis: Mosby Inc

    Google Scholar 

  3. 3.

    McKenzie R, May S: Lumbar Spine, Mechanical Diagnosis and Therapy. 2003, Waikanae, New Zealand: Spinal Publications Ltd, 2

    Google Scholar 

  4. 4.

    Maitland GD: Vertebral Manipulation. 1986, London: Butterworths, 5

    Google Scholar 

  5. 5.

    O'Sullivan PB: Diagnosis and classification of chronic low backpain disorders: Maladaptive movement and motor control impairments as underlying mechanism. Man Ther. 2005, 10: 242-255.

    Article  PubMed  Google Scholar 

  6. 6.

    Ikeda K, McGill S: Can altering motions, postures, and loads provide immediate low back pain relief: A study of 4 cases investigating spine load, posture, and stability. Spine. 2012, 37 (23): E1469-E1475.

    Article  PubMed  Google Scholar 

  7. 7.

    Chen SP, Samo DG, Chen EH, Crampton AR, Conrad KM, Egan L, Mitton J: Reliability of three lumbar sagittal motion measurement methods: surface inclinometers. J Occup Environ Med. 1997, 39 (3): 217-223.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Ha TH, Saber-Sheikh K, Moore AP, Jones MP: Measurement of lumbar spine range of movement and coupled motion using inertial sensors - A protocol validity study. Man Ther. 2012, 18 (1): 87-91.

    Article  PubMed  Google Scholar 

  9. 9.

    Ribeiro DC, Sole G, Abbott JH, Milosavljevic S: Cumulative postural exposure measured by a novel device: a preliminary study. Ergonomics. 2011, 54 (9): 858-865.

    Article  PubMed  Google Scholar 

  10. 10.

    Van Hoof W, Volkaerts K, O'Sullivan K, Verschueren S, Dankaerts W: Comparing lower lumbar kinematics in cyclists with low back pain (flexion pattern) versus asymptomatic controls – field study using a wireless posture monitoring system. Man Ther. 2012, 17 (4): 312-317.

    Article  PubMed  Google Scholar 

  11. 11.

    Mannion A, Troke M: A comparison of two motion analysis devices used in the measurement of lumbar spinal mobility. Clin Biomech. 1999, 14 (9): 612-619.

    CAS  Article  Google Scholar 

  12. 12.

    Intolo P, Milosavljevic S, Baxter DG, Carman AB, Pal P, Munn J, Intolo P, Milosavljevic S, Baxter DG, Carman AB, Pal P, Munn J: The effect of age on lumbar range of motion: a systematic review. Man Ther. 2009, 14 (6): 596-604.

    Article  PubMed  Google Scholar 

  13. 13.

    Milosavljevic S, Milburn PD, Knox BW: The influence of occupation on lumbar sagittal motion and posture. Ergonomics. 2005, 48 (6): 657-667.

    Article  PubMed  Google Scholar 

  14. 14.

    Russell P, Pearcy MJ, Unsworth A: Measurement of the range and coupled movements observed in the lumbar spine. Rheumatology (Oxford). 1993, 32 (6): 490-497.

    CAS  Article  Google Scholar 

  15. 15.

    Fitzgerald G, Wynveen K, Rheault W, Rothschild B: Objective assessment with establishment of normal values for lumbar spinal range of motion. Phys Ther. 1983, 63 (11): 1776-1781.

    CAS  PubMed  Google Scholar 

  16. 16.

    Schober P: The lumbar vertebral column and back ache. Munch Med Wochenschr. 1937, 84: 336-

    Google Scholar 

  17. 17.

    Ruhe A, Fejer R, Walker B: Center of pressure excursion as a measure of balance performance in patients with non-specific low back pain compared to healthy controls: a systematic review of the literature. Eur Spine J. 2011, 20 (3): 358-368.

    Article  PubMed  Google Scholar 

  18. 18.

    The NCBI Handbook (internet): 2013, Betheseda (MD): National Centre for Biotechnology Information (US),, 2,

  19. 19.

    Moher D, Liberati A, Tetzlaff J, Altman D: TPG: preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009, 151 (4): 264-269.

    Article  PubMed  Google Scholar 

  20. 20.

    Hollingworth W, Medina S, Lenkinski R, Shibata D, Bernal B, Zurakowski D, Comstock B, Jarvik J: Interrater reliability in assessing quality of diagnostic accuracy studies using the QUADAS tool. Acad Radiol. 2006, 13 (7): 803-810.

    Article  PubMed  Google Scholar 

  21. 21.

    Whiting PF, Weswood ME, Rutjes AW, Reitsma JB, Bossuyt PN, Kleijnen J: Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol. 2006, 6 (9): doi:10.1186/1471-2288-1186-1189

    Google Scholar 

  22. 22.

    Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glatsonis PP, Irwig LM, Moher D, Rennie D, de Vet HC: Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. Radiology. 2003, 226: 24-28.

    Article  PubMed  Google Scholar 

  23. 23.

    Mieritz R, Bronfort G, Kawchuk G, Breen A, Hartvigsen J: Reliability and measurement error of 3-dimensional regional lumbar motion measures: a sytematic review. J Manipulative Physiol Ther. 2012, 35 (8): 645-656.

    Article  PubMed  Google Scholar 

  24. 24.

    The Cochrane Collaboration: Review Manager (RevMan) (computer program). Version 5.2. 2012, Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration

    Google Scholar 

  25. 25.

    Higgins J, Green S: Cochrane Handbook for Systematic Reviews of Interventions, Version 5.1.0. The Cochrane Collaboration. 2011, Available from

    Google Scholar 

  26. 26.

    Higgins J, Thompson S, Deeks J, Altman DG: Measuring inconsistency in meta-analyses. Br Med J (Clin Res Ed). 2003, 327 (9): 557-560.

    Article  Google Scholar 

  27. 27.

    Koopmans L, Owen D, Rosenblatt J: Confidence intervals for the coefficient of variation for the normal and log normal distributions. Biometrika. 1964, 51: 25-32.

    Article  Google Scholar 

  28. 28.

    Aluko A, DeSouza L, Peacock J: Evaluation of trunk acceleration in healthy individuals and those with low back pain. Int J Ther Rehabil. 2011, 18 (1): 18-25.

    Article  Google Scholar 

  29. 29.

    Barrett CJ, Singer KP, Day R: Assessment of combined movements of the lumbar spine in asymptomatic and low back pain subjects using a three-dimensional electromagnetic tracking system. Man Ther. 1999, 4 (2): 94-99.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Boline P, Keating J, Haas M, Anderson A: Interexaminer reliability and discriminant validity of inclinometric measurement of lumbar rotation in chronic low-back pain patients and subjects without low-back pain. Spine. 1992, 17 (3): 335-338.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Christie HJ, Kumar S, Warren SA: Postural aberrations in low back pain. Arch Phys Med Rehabil. 1995, 76 (3): 218-224.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Day JW, Smidt GL, Lehmann T: Effect of pelvic tilt on standing posture. Phys Ther. 1984, 64 (4): 510-516.

    CAS  PubMed  Google Scholar 

  33. 33.

    Descarreaux M, Blouin J-S, Teasdale N: Repositioning accuracy and movement parameters in low back pain subjects and healthy control subjects. Eur Spine J. 2005, 14 (2): 185-191.

    Article  PubMed  Google Scholar 

  34. 34.

    Esola MA, McClure PW, Fitzgerald GK, Siegler S: Analysis of lumbar spine and hip motion during forward bending in subjects with and without a history of low back pain. Spine. 1996, 21 (1): 71-78.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Gill K, Callaghan M: The measurement of lumbar proprioception in individuals with and without low back pain. Spine. 1998, 23 (3): 371-377.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Gomez TT: Symmetry of lumbar rotation and lateral flexion range of motion and isometric strength in subjects with and without low back pain. J Orthop Sports Phys Ther. 1994, 19 (1): 42-48.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Hidalgo B, Gilliaux M, Poncin W, Detrembleur C: Reliability and validity of a kinematic spine model during active trunk movement in healthy subjects and patients with chronic non-specific low back pain. J Rehabil Med. 2012, 44 (9): 756-763.

    Article  PubMed  Google Scholar 

  38. 38.

    Hultman G, Nordin M, Saraste H, Ohlsen H: Body composition, endurance, strength, corss-sectional area, and desnity of MM erector spinae in men with and without low back pain. J Spinal Disord. 1993, 6: 114-123.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Marras W, PaParnianpour M, Ferguson S, Kim J, Crowell R, Bose S, Simon S: The classification of anatomic- and symptom-based low back disorders using motion measure models. Spine. 1995, 20 (23): 2531-2546.

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    McClure P, Esola M, Schreier R, Siegler S: Kinematic analysis of lumbar and hip motion while rising from a forward, flexed position in patients with and without a history of low back pain. Spine. 1997, 22 (5): 552-558.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    McGregor A, McCarthy I, Dore C, Hughes S: Quantitative assessment of the motion of the lumbar spine in the low back pain population and the effect of different spinal pathologies on this motion. Eur Spine J. 1997, 6 (5): 308-315.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    McGregor A, McCarthy I, Hughes S: Motion characteristics of the lumbar spine in the normal population. Spine. 1995, 20 (22): 2421-2428.

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    McGregor AH, Hughes SP: The effect of test speed on the motion characteristics of the lumbar spine during an A-P flexion-extension test. J Back Musculoskelet Rehabil. 2000, 14 (3): 99-104.

    Google Scholar 

  44. 44.

    Mellin G: Decreased joint and spinal mobility associated with low back pain in young adults. J Spinal Disord. 1990, 3 (3): 238-243.

    CAS  Article  PubMed  Google Scholar 

  45. 45.

    Newcomer K, Laskowski E, Yu B, Larson D, An K: Repositioning error in low back pain: Comparing trunk repositioning error in subjects with chronic low back pain and control subjects. Spine. 2000, 25 (2): 245-250.

    CAS  Article  PubMed  Google Scholar 

  46. 46.

    Newcomer KL, Laskowski ER, Yu B, Johnson JC, An KN: Differences in repositioning error among patients with low back pain compared with control subjects. Spine. 2000, 25 (19): 2488-2493.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Ng JK, Richardson CA, Kippers V, Parnianpour M, Ng JKF, Richardson CA, Kippers V, Parnianpour M: Comparison of lumbar range of movement and lumbar lordosis in back pain patients and matched controls. J Rehabil Med. 2002, 34 (3): 109-113.

    Article  PubMed  Google Scholar 

  48. 48.

    Norton B, Sahrmann S, Van DL: Differences in Measurements of Lumbar Curvature Related to Gender and Low Back Pain. J Orthop Sports Phys Ther. 2004, 34 (9): 524-534.

    Article  PubMed  Google Scholar 

  49. 49.

    Nourbakhsh MR, Moussavi SJ, Salavati M: Effects of lifestyle and work-related physical activity on the degree of lumbar lordosis and chronic low back pain in a Middle East population. J Spinal Disord. 2001, 14 (4): 283-292.

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Paquet N, Malouin F, Richards C: Hip-spine movement interaction and muscle activation patterns during sagittal trunk movements in low back pain patients. Spine. 1994, 15 (5): 596-603.

    Article  Google Scholar 

  51. 51.

    Pope M, Bevins T, Wilder D, Frymoyer J: The relationship between anthropometric postural, muscular, and mobility characteristics of males aged 18-55. Spine. 1985, 10: 644-648.

    CAS  Article  PubMed  Google Scholar 

  52. 52.

    Porter JL, Wilkinson A: Lumbar-hip flexion motion. A comparative study between asymptomatic and chronic low back pain in 18- to 36-year-old men. Spine. 1997, 22 (13): 1508-1513. discussion 1513-1504

    CAS  Article  PubMed  Google Scholar 

  53. 53.

    Sheeran L, Sparkes V, Caterson B, Busse-Morris M, van Deursen R: Spinal position sense and trunk muscle activity during sitting and standing in nonspecific chronic low back pain: classification analysis. Spine. 2012, 37 (8): E486-E495.

    Article  PubMed  Google Scholar 

  54. 54.

    Sung PS, Park W-H, Kim YH: Three-dimensional kinematic lumbar spine motion analyses of trunk motion during axial rotation activities. J Spinal Disord Tech. 2012, 25 (3): E74-E80.

    Article  PubMed  Google Scholar 

  55. 55.

    Taimela S, Kankaanpaa M, Luoto S: The effect of lumbar fatigue on the ability to sense a change in lumbar position. A controlled study. Spine. 1999, 24 (13): 1322-1327.

    CAS  Article  PubMed  Google Scholar 

  56. 56.

    Waddell G, Somerville D, Henderson I, Newton M: Objective clinical evaluation of physical impairment in chronic low back pain. Spine. 1992, 17 (6): 617-628.

    CAS  Article  PubMed  Google Scholar 

  57. 57.

    Youdas JW, Garrett TR, Egan KS, Therneau TM: Lumbar lordosis and pelvic inclination in adults with chronic low back pain. Phys Ther. 2000, 80 (3): 261-275.

    CAS  PubMed  Google Scholar 

  58. 58.

    Youdas JW, Garrett TR, Harmsen S, Suman VJ, Carey JR: Lumbar lordosis and pelvic inclination of asymptomatic adults. Phys Ther. 1996, 76 (10): 1066-1081. (1030 ref)

    CAS  PubMed  Google Scholar 

  59. 59.

    Crosbie J, de Faria Negrao Filho R, Nascimento DP, Ferreira P: Coordination of spinal motion in the transverse and frontal planes during walking in people with and without recurrent low back pain. Spine. 2013, 38 (5): E286-E292.

    Article  PubMed  Google Scholar 

  60. 60.

    Hidalgo B, Gobert F, Bragard D, Detrembleur C: Effects of proprioceptive disruption on lumbar spine repositioning error in a trunk forward bending task. J Back Musculoskel Rehabil. 2013, 26 (4): 381-387.

    Google Scholar 

  61. 61.

    Kim MH, Yi CH, Kwon OY, Cho SH, Cynn HS, Kim YH, Hwang SH, Choi BR, Hong JA, Jung DH: Comparison of lumbopelvic rhythm and flexion-relaxation response between 2 different low back pain subtypes. Spine. 2013, 38 (15): 1260-1267.

    Article  PubMed  Google Scholar 

  62. 62.

    Lee AS, Cholewicki J, Reeves NP, Zazulak BT, Mysliwiec LW: Comparison of trunk proprioception between patients with low back pain and healthy controls. Arch Phys Med Rehabil. 2010, 91 (9): 1327-1331.

    Article  PubMed  PubMed Central  Google Scholar 

  63. 63.

    O'Sullivan K, Verschueren S, Van Hoof W, Ertanir F, Martens L, Dankaerts W: Lumbar repositioning error in sitting: Healthy controls versus people with sitting-related non-specific chronic low back pain (flexion pattern). Man Ther. 2013, 18 (6): 526-532.

    Article  PubMed  Google Scholar 

  64. 64.

    O'Sullivan PB, Burnett A, Floyd AN, Gadsdon K, Logiudice J, Miller D, Quirke H: Lumbar repositioning deficit in a specific low back pain population. Spine. 2003, 28 (10): 1074-1079.

    Article  PubMed  Google Scholar 

  65. 65.

    Willigenburg NW, Kingma I, Hoozemans MJM, van Dieen JH: Precision control of trunk movement in low back pain patients. Hum Mov Sci. 2013, 32 (1): 228-239.

    Article  PubMed  Google Scholar 

  66. 66.

    Willigenburg NW, Kingma I, van Dieen JH: Precision control of an upright trunk posture in low back pain patients. Clin Biomech. 2012, 27 (9): 866-871.

    Article  Google Scholar 

  67. 67.

    Field E, Abdel-Moty E, Loudon J: The effect of back injury and load on ability to replicate a novel posture. J Back Musculoskelet Rehabil. 1997, 8 (3): 199-207.

    CAS  Article  PubMed  Google Scholar 

  68. 68.

    Koumantakis GA, Winstanley J, Oldham JA: Thoracolumbar proprioception in individuals with and without low back pain: intratester reliability, clinical applicability, and validity. J Orthop Sports Phys Ther. 2002, 32 (7): 327-335.

    Article  PubMed  Google Scholar 

  69. 69.

    Tsai Y, Sell T, Smoliga J, Myers J, Learman K, Lephart S: A comparison of physical characteristics and swing mechanics between golfers with and without a history of low back pain. J Orthop Sports Phys Ther. 2010, 40 (7): 430-438.

    Article  PubMed  Google Scholar 

  70. 70.

    Georgy E: Lumbar repositioning accuracy as a measure of proprioception in patients with back dysfunction and healthy controls. Asian Spine J. 2011, 5 (4): 201-207.

    Article  PubMed  PubMed Central  Google Scholar 

  71. 71.

    Wong TK, Lee RY, Wong TKT, Lee RYW: Effects of low back pain on the relationship between the movements of the lumbar spine and hip. Hum Mov Sci. 2004, 23 (1): 21-34.

    Article  PubMed  Google Scholar 

  72. 72.

    Brumagne S, Cordo P, Lysens R, Verschueren S, Swinnen S: The role of paraspinal muscle spindles in lumbosacral position sense in individuals with and without low back pain. Spine. 2000, 25 (8): 989-994.

    CAS  Article  PubMed  Google Scholar 

  73. 73.

    Spitzer W, Arsenault S, Abenhaim L, Dupuis M, Belanger A, Bloch R, Bombardier C, Cruess R, Duval-Hesler N, Laflamme J, Lamoureux G, LeBlanc F, Nachemson A, Wood-Dauphinee S, Drouin G, Page J, Lortie M, Suissa S, Salmi LR, Rossignol M, Bilodeau D, Blain J: Quebec Task Force on spinal disorders - Scientific approach to the assessment and management of activity-related spinal disorders - a monograph for clinicians. Spine. 1987, 12 (7): 1-59.

    Google Scholar 

  74. 74.

    Marin-Martines F, Sanchez-Meca J: Averaging dependent effect sizes in meta-analysis: a coutionary note about procedures. Span J Psychol. 1999, 2 (1): 32-38.

    Article  Google Scholar 

  75. 75.

    McGregor A, McCarthy I, Hughes S: Lumbar spine motion during freestyle lifting and changes in this motion with time. J Back Musculoskelet Rehabil. 1997, 9 (1): 35-37.

    CAS  Article  PubMed  Google Scholar 

  76. 76.

    Brumagne S, Lysens R, Spaepen A: Lumbosacral repositioning accuracy in standing posture: a combined electrogoniometric and videographic evaluation. Clin Biomech. 1999, 14 (5): 361-363.

    CAS  Article  Google Scholar 

  77. 77.

    Mosner EA, Bryan JM, Stull MA, Shippee R: A comparison of actual and apparent lumbar lordosis in black and white adult females. Spine. 1989, 14 (3): 310-314.

    CAS  Article  PubMed  Google Scholar 

  78. 78.

    Gelb D, Lenke L, Bridwell K, Blanke K, McEnery K: An analysis of sagittal spinal alignment in 100 asymptomatic middle and older aged volunteers. Spine. 1995, 20 (12): 1351-1358.

    CAS  Article  PubMed  Google Scholar 

  79. 79.

    Adams MA, Bogduk N, Burton K, Dolan P: The Biomechanics of Back Pain. 2012, Edinburgh: Churchill Livingston, 3

    Google Scholar 

  80. 80.

    Amonoo-Kuofi H: Changes in the lumbosacral angle, sacral inclination and the curvature of the lumbar spine during aging. Acta Antatomica. 1992, 145: 373-377.

    CAS  Article  Google Scholar 

  81. 81.

    Kent PM, Keating JL, Taylor NF: Primary care clinicians use variable methods to assess acute nonspecific low back pain and usually focus on impairments. Man Ther. 2009, 14 (1): 88-100.

    Article  PubMed  Google Scholar 

  82. 82.

    Thomas JS, France CR, Lavender SA, Johnson MR: Effects of fear of movement on spine velocity and acceleration after recovery from low back pain. Spine. 2008, 33: 564-570.

    Article  PubMed  Google Scholar 

  83. 83.

    O'Sullivan PB: ‘Clinical instability’ of the lumbar spine: its pathological basis, diagnosis and conservative management. Grieve’s Modern Manual Therapy - The Vertebral Column. Edited by: Boyling J, Jull G. 2005, Edinburgh: Churchill Livingstone, 3

    Google Scholar 

  84. 84.

    Nelson-Wong E, Brendon A, Csepe D, Lancaster D, Callaghan JP: Altered muscle recruitment during extension from trunk flexion in low back pain developers. Clin Biomech. 2012, 27: 994-998.

    Article  Google Scholar 

  85. 85.

    Astfalck RG, O'Sullivan PB, Straker LM, Smith AJ, Burnett A, Caneiro JP, Dankaerts W: Sitting postures and trunk muscle activity in adolescents with and without nonspecific chronic low back pain: an analysis based on subclassification. Spine. 2010, 35 (14): 1387-1395.

    Article  PubMed  Google Scholar 

  86. 86.

    O'Sullivan PB, Mitchell T, Bulich P, Waller R, Holte J: The relationship beween posture and back muscle endurance in industrial workers with flexion-related low back pain. Man Ther. 2006, 11 (4): 264-271.

    Article  PubMed  Google Scholar 

  87. 87.

    Hahne AJ, Keating JL, Wilson SC: Do within-session changes in pain intensity and range of motion predict between-session changes in patients with low back pain?. J Physiother. 2004, 50 (1): 17-23.

    Article  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references



Author information



Corresponding author

Correspondence to Robert A Laird.

Additional information

Competing interests

No funding was received for this systematic review. No benefits in any form have been, or will be, received from a commercial party related directly or indirectly to the subject of this paper. This paper does not contain information about medical devices or drugs. The authors do not hold stocks or shares in any company that might be directly or indirectly affected by this review. No patents have been applied for or received due to the content of this review. There are no non-financial competing interests associated with this review.

Authors’ contributions

RL and JG contributed to data collection. RL and JG performed data inclusion and extraction with JK providing arbitration when required. All authors were involved in the design of the review, analysis and interpretation of data, drafting and revision of the manuscript, and gave approval of the final manuscript.

Electronic supplementary material

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Laird, R.A., Gilbert, J., Kent, P. et al. Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis. BMC Musculoskelet Disord 15, 229 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Low back pain
  • Movement disorders
  • Posture
  • Range of movement
  • Lordosis
  • Proprioception