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PLOS One logoLink to PLOS One
. 2021 Jul 21;16(7):e0254241. doi: 10.1371/journal.pone.0254241

Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP

Nic Saraceni 1,*,#, Amity Campbell 1,#, Peter Kent 1,2,#, Leo Ng 1,#, Leon Straker 1,#, Peter O’Sullivan 1,3,#
Editor: Daniel Boullosa4
PMCID: PMC8294511  PMID: 34288926

Abstract

Purpose

To investigate if lumbar and lower limb kinematics or kinetics are different between groups with and without a history of LBP during lifting. Secondly, to investigate relationships between biomechanical variables and pain ramp during repeated lifting.

Methods

21 LBP and 20 noLBP participants completed a 100-lift task, where lumbar and lower limb kinematics and kinetics were measured during lifting, with a simultaneous report of LBP intensity every 10 lifts. Lifts were performed in a laboratory setting, limiting ecological validity.

Results

The LBP group used a different lifting technique to the noLBP group at the beginning of the task (slower and more squat-like). Kinetic differences at the beginning included less peak lumbar external anterior shear force and greater peak knee power demonstrated by the LBP group. However, at the end of the task, both groups lifted with a much more similar technique that could be classified as more stoop-like and faster. Peak knee power remained greater in the LBP group throughout and was the only kinetic difference between groups at the end of the lifting task. While both groups lifted using a more comparable technique at the end, the LBP group still demonstrated a tendency to perform a slower and more squat-like lift throughout the task. Only one of 21 variables (pelvic tilt at box lift-off), was associated with pain ramp in the LBP group. Conclusions: Workers with a history of LBP, lift with a style that is slower and more squat-like than workers without any history of LBP. Common assumptions that LBP is associated with lumbar kinematics or kinetics such as greater lumbar flexion or greater forces were not observed in this study, raising questions about the current paradigm around ‘safe lifting’.

Introduction

Low back pain (LBP) is the world’s most disabling condition and leading cause of work absenteeism [1]. Lifting is a common risk factor for LBP development and engaging in manual tasks that are heavy or in awkward postures has been reported to increase the risk of LBP persistence [24]. Attempts to reduce the risk of LBP related to lifting in the workplace have included both task redesign and worker training in safe lifting techniques [59]. The guiding principles of these interventions aim to reduce lumbar forces and exposure to lumbar flexion, especially when they are combined. These lifting risk reduction strategies have been largely extrapolated from historical cadaveric studies which identified porcine spinal segments to be less tolerant to compression when in a more flexed position [1013]. This has led to the view that LBP or injury related to lifting is caused by incorrect lifting. Stoop lifting, which involves a more horizontal thorax, greater kyphotic (flexed) curvature of the lumbar spine and straighter knees is considered to increase the susceptibility of the lumbar tissues to load and strain [14]. In contrast, squat lifting, which involves a more vertical thorax, less kyphotic (flexed) lumbar spine and greater knee bend is therefore thought to be optimal and reduce the likelihood of tissue strain and injury [1416]. Based on these assumptions, manual handling training commonly advocates squat lifting and warns against stoop lifting to reduce the risk of LBP [17].

However, a recent systematic review found there was no longitudinal or cross-sectional in-vivo evidence that people with LBP flex the lumbar spine more during lifting than those without, casting doubt on this long-held assumption [18]. The existing evidence was of low quality. Furthermore, Nolan et al [19] conducted a systematic review that investigated full body kinematics in people with and without LBP during lifting. In contrast to popular belief, the review concluded that people with LBP lifted with a more vertical thorax and deeper knee bend (more a squat-like lift), as well as slower and with less spinal range of movement (ROM), compared to pain-free people who lifted with a faster and more stoop-style lift. However, the authors highlighted that the current evidence had numerous limitations, including a lack of reporting of LBP intensity (2 of 9 studies) and disability levels (4 of 9 studies). This review also did not investigate forces on the lumbar spine.

When measuring kinematics of the whole body during lifting, both the positioning and velocity of each body segment affects the distribution and magnitude of forces on lumbar spine structures [20]. Given the close relationship between kinematics and kinetics, studies that have investigated both are particularly useful. The few studies that have compared lumbar forces and kinematics between people with and without LBP during natural lifting report mixed findings. Studies by Marras et al [21,22], found people with LBP had greater net external moment and internal compressive force during lifting. This was due to the people with LBP lifting with less trunk flexion (increasing the moment arm from spine to the load) and greater trunk muscle co-contraction, which resulted in greater internal lumbar compression forces than the group without LBP. In contrast, work by Lariviere et al [23], found no differences in forces on the lumbar spine in people with and without LBP during lifting. Participants in the Marras et al study, had greater pain (5.4/10) compared to (2.7/10) those in the Lariviere et al study, which may have influenced the way participants lifted. There is a surprising paucity of studies investigating forces on the lumbar spine in people with and without LBP, given the common messaging to ‘squat with a straight back to reduce load’, when lifting in occupational health settings. Further, no study reporting lumbar biomechanics in groups of people with LBP during lifting, has investigated if any of these biomechanical factors are associated with a change in pain intensity during repeated lifting (termed ‘pain ramp’ in this study). The only two studies investigating pain ramp during lifting, have explored relationships between non-biomechanical factors (quantitative sensory testing and psychological factors) and pain ramp [24,25]. Manual handling advisors and others involved in healthcare, commonly advocate more squat-like lifting, even though there is no support from in-vivo research that the biomechanics of lifting and LBP intensity during lifting are associated [17,26,27].

There are a number of other limitations of the existing evidence that hamper the ability to inform people about ‘safe’ lifting technique. For example, previous studies have not recruited manual workers both with and without a history of LBP. Interestingly, no study to our knowledge has specifically recruited manual workers who have engaged in repetitive lifting for many years, without reporting LBP. Given prospective studies are difficult to conduct, these workers may hold clues to how people should lift in order to reduce the risk of LBP. It is also unknown from previous studies if the participants recruited to LBP groups actually experienced LBP that was provoked by or related to lifting [19]. Furthermore, a number of studies captured less than 10 lifts, of one weighted object (pen to 11.4kg box) and only during symmetrical lifts from directly in front [18]. Many of these lifting studies did not induce fatigue and the task was not pain provocative, potentially limiting the ecological validity of those findings. No study has previously reported power generated at the lumbar spine, hips and knees during lifting in manual workers, so it is unknown if lifting with greater knee bend is of any mechanical benefit (i.e. reduced lumbar power). Lastly, there are no studies that have reported whole body kinematics and lumbar kinetics over the duration of a repeated lifting task simultaneously with change in LBP during lifting. So, it is not known if relationships exist between biomechanical factors and potentially escalating LBP intensity during a repeated lifting task.

Therefore, the aims of this study were to investigate during a repetitive lifting task that replicated work demands:

  1. Whether there are differences in lumbar and lower limb kinematics or kinetics of manual workers with and without a history of lifting-related LBP, and

  2. In those workers with a history of lifting-related LBP, whether lumbar and lower limb kinematics or kinetics are associated with change in LBP intensity over the repeated lifting task.

Method

Participants

Participants (28 males and 14 females) volunteered for this study and were recruited from workplaces (e.g. trades, shelf stackers, stock picker and packers) through phone calls, flyers and emails. Participants were recruited to either a LBP group (n = 21) or a noLBP group (n = 21) matched for similar age, height and weight. Males and females were recruited, which was assisted by a third-party physiotherapy organisation (Biosymm Physiotherapy, Perth, Australia) who also reimbursed participants $50AUD for their time. Ethical approval was granted from the Human Research Ethics Committee at Curtin University (HRE2018-0197) and written informed consent was obtained. The individual in this manuscript has given written informed consent (as outlined in PLOS consent form) to be photographed for Fig 1.

Fig 1. Lifting task images.

Fig 1

The upper two images demonstrate a symmetrical lift. The three lower images are examples of all lift type origins used in the task for symmetrical and asymmetrical lifts.

Manual workers with and without a history of LBP were recruited. All of the included participants must have been >18 years of age, currently working in manual jobs >20 hours per week and involved in regular lifting (>25 lifts/shift).

The LBP group also satisfied the following additional criteria

Dominant axial LBP (between T12 and gluteal fold) that was chronic or recurrent for greater than 3 months duration; lifting must have been a primary aggravating factor (repeated lifting at work increased low back pain to a level of >3/10). All of the above had to have been met and also one of the following two criteria (i) at least 1 episode in the past 12 months where they were unable to attend work or they had to modify how or what they lift at work because of LBP or have taken medication for LBP or have seen a health practitioner for LBP. And (ii) average weekly low back pain (past week) ≥ 3/10. Regular exclusion criteria applied for biomechanical LBP studies such as acute lumbar radiculopathy.

The noLBP group satisfied the following additional criteria

No history of disabling LBP over the past 5 years. This meant participants had never missed a day of work or made any change in activity levels due to LBP, had no LBP exceeding 24 hours that was greater than 3/10 intensity on a numerical pain rating scale (NPRS) and had not seen a healthcare worker for LBP [28].

Experimental design

Lifting procedure

Data for this laboratory study were collected during a 2-hour measurement session for each participant in 2019. The lifting task comprised 25 lifts (5 symmetrical and 20 asymmetrical) with an empty box (200 grams), followed by 75 lifts (15 symmetrical and 60 asymmetrical) with a box mass set at 10% of each participant’s body mass. All lifts were from the floor and participants were encouraged to perform the task in whichever way they felt they normally would, to reflect how they naturally lift at work. There was no set cadence for the lifting task. A detailed description of the testing procedures is provided in S1 File and demonstrated in Fig 1.

Upon arrival at the Curtin University motion analysis laboratory, retro-reflective markers were placed on specific anatomical landmarks in accordance with gold standard trunk and lower limb 3D motion analysis methods [29,30]. Subject-specific static calibration trials were conducted with markers placed on the medial and lateral malleoli and medial and lateral femoral condyles in addition to the markers described in S1 Table [31]. An 18-camera VICON MX motion analysis system (Vicon, Oxford Metrics, Oxford, UK) operating at 250 Hz and three 1.2 m × 1.2 m force plates (Advanced Mechanical Technology Inc., Watertown, MA) sampling at 2000 Hz were used to collect kinematic and ground reaction force data.

Variables

Participant characteristics were collected, including age (years), biological sex (male/female), height (m) and mass (kilograms). Prior to the lifting task, ratings of average pain over the past week and current pain pre-lifting task were also collected (NPRS 0–10). Both the feeling of fatigue (0–10 modified Borg Scale) and LBP intensity (NPRS 0–10) were measured following every 10 lifts while participants continued lifting [32]. Dependent variables included lumbar and lower limb kinematic and kinetic variables that were calculated during lifting and lowering phases of each lift, as defined in S2 Table.

Lumbar kinematic variables included peak intra-lumbar and lumbo-pelvic flexion, lateral flexion and rotation. Peak: thorax inclination, hip flexion, knee flexion, ankle dorsiflexion and heel height, as well as pelvic tilt at box lift off, were also calculated. Peak and average lumbo-pelvic and thorax velocities were calculated using the central difference method.

Lumbar kinetic variables included three-dimensional peak: power, net moment and external forces acting on the spine at the L5/S1 joint. Peak lumbar forces were separated into compression, lateral shear and anterior shear. Peak power was also calculated at the hip and knee. All kinetics were normalized to body mass. Scaled inertial parameters for the lower limb [33], pelvis and lumbar segments [34] were incorporated in the inverse dynamics model for the calculation of lumbo-pelvic kinetics. Further details of the biomechanical modelling are provided in S2 File.

Data processing

The 3D data were processed using Vicon Nexus motion analysis software (Vicon, Oxford Metrics, Oxford, UK). Data were filtered using a fourth-order low-pass Butterworth filter operating at a cut-off frequency of 2 Hz, as determined using a residual analysis.

A lift was defined from the initiation of trunk forward bending (without the box) to the end of trunk extension following the box being placed at its destination location (using a combination of the angular velocity of the C7 marker, movement of the intra-lumbar spine and box position in a customised Labview program (National Instruments, Austin, Tx, USA)). In order to examine repeated lifting data, each lift was time normalised from initiation of trunk forward bending (0%) to the end of trunk extension (100%).

All data were inspected for outliers (i.e. >2SD from the mean) and where present, that specific lift was further visualised in Vicon. Where possible, a reason for any outlier was recorded (e.g. box not placed on force plate) and that particular outlier datum was removed from analysis. Each lift had two phases: a lifting phase (bend without box and lift with box) and a lowering phase (lowering with box and return to start position without box). The change point from lifting to lowering was when the trunk changed direction from rising to lowering (defined by the C7 marker angular velocity and box movement). Kinematic and kinetic variables are reported for each phase separately (Table 2 - lifting phase and S3 Table– lowering phase). The hip, knee and ankle variables were collected bilaterally and averaged. The left and right side peak kinematics and kinetics were all significantly correlated. The reporting of the average of both sides did not alter the results of the paper and therefore was used to improve the readability.

Table 2. Comparison of kinematics and kinetics during lifting phase for workers with (LBP) and without (noLBP) a history of lifting related low back pain.
Group values (95%CI) (unadjusted) Difference (unadjusted) Difference (adjusted*)
SPATIAL KINEMATICS
LBP noLBP
Peak intra-lumbar flexion† Lift 1 14.4° (12.3 to 16.6) 19.6° (17.6 to 21.6) -5.2° (-8.1 to -2.3)
P<0.001
-4.9° (-8.0 to -1.8)
P = 0.002
Lift 95 19.2° (17.0 to 21.5) 21.8° (19.7 to 23.8) -2.6° (-5.5 to 0.3)
P = 0.084
-2.8° (-6.3 to 0.6)
P = 0.105
Peak lumbo-pelvic flexion Lift 1 16.5° (13.9 to 19.2) 16.4° (14.0 to 18.9) 0.1° (-3.5 to 3.7)
P = 0.963
0.6° (-3.2 to 4.4)
P = 0.768
Lift 95 17.3° (14.9 to 19.7) 15.5° (11.2 to 19.8) 1.8° (-3.4 to 7.0)
P = 0.500
2.4° (-2.6 to 7.4)
P = 0.355
Peak intra-lumbar lateral flexion Lift 1 5.7° (4.9 to 6.5) 5.2° (4.3 to 6.1) 0.5° (-0.7 to 1.7)
P = 0.430
0.2° (-1.2 to 1.6)
P = 0.776
Lift 95 6.0° (5.1 to 6.9) 5.4° (4.7 to 6.1) 0.6° (-0.6 to 1.8)
P = 0.321
0.5° (-0.9 to 1.9)
P = 0.454
Peak lumbo-pelvic lateral flexion Lift 1 3.4° (2.9 to 3.8) 3.4° (2.8 to 4.0) 0.0° (-0.7 to 0.7)
P = 0.959
0.0° (-0.7 to 0.8)
P = 0.903
Lift 95 3.4° (3.0 to 3.8) 4.0° (3.3 to 4.7) -0.5° (-1.4 to 0.3)
P = 0.181
-0.8° (-1.9 to 0.4)
P = 0.192
Peak intra-lumbar rotation Lift 1 2.8° (2.3 to 3.2) 2.6° (2.3 to 2.9) 0.2° (-0.3 to 0.7)
P = 0.479
0.1° (-0.5 to 0.7)
P = 0.794
Lift 95 3.0° (2.4 to 3.5) 2.9° (2.6 to 3.2) 0.1° (-0.6 to 0.8)
P = 0.820
0.0° (-0.8 to 0.8)
P = 0.982
Peak lumbo-pelvic rotation Lift 1 3.1° (2.5 to 3.6) 3.0° (2.5 to 3.5) 0.0° (-0.7 to 0.8)
P = 0.895
0.1° (-0.9 to 1.1)
P = 0.809
Lift 95 3.4° (2.8 to 4.0) 3.1° (2.6 to 3.6) 0.3° (-0.4 to 1.0)
P = 0.397
0.5° (-0.4 to 1.4)
P = 0.278
Peak thoracic inclination Lift 1
81.3° (77.0 to 85.6) 94.5° (87.9 to 101.0) -13.2° (-21.4 to -5.0)
P = 0.002
-15.3° (-25.1 to -5.4) P = 0.002
Lift 95 99.6° (95.4 to 103.7) 102.8° (97.3 to 108.3) -3.2° (-10.1 to 3.6)
P = 0.353
-7.0° (-14.9 to 0.9) P = 0.082
Pelvic inclination at box lift off Lift 1 36.9° (32.3 to 41.6) 50.2° (43.7 to 56.6) -13.2° (-21.2 to -5.2)
p = 0.001
-16.6° (-26.0 to -7.1) p = 0.001
Lift 95 47.5° (42.2 to 52.9) 51.3° (45.0 to 57.6) -3.8° (-12.3 to 4.7)
P = 0.386
-6.1° (-15.3 to 3.1) P = 0.196
Peak hip flexion Lift 1 107.9° (105.4 to 110.5) 108.0° (105.1 to 110.9) -0.1° (-3.7 to 3.6)
P = 0.974
1.0° (-3.4 to 5.4) P = 0.652
Lift 95 107.9° (105.4 to 110.5) 109.1° (104.2 to 114.1) -1.2° (-6.8 to 4.4)
P = 0.671
-0.4° (-6.1 to 5.4) P = 0.900
Peak knee flexion Lift 1 115.1° (106.1 to 124.0) 91.5° (79.0 to 104.0) 23.6° (7.8 to 39.4)
P = 0.003
26.4° (8.1 to 44.7) P = 0.005
Lift 95 95.5° (85.4 to 105.6) 85.9° (73.2 to 98.6) 9.6° (-5.5 to 24.6)
P = 0.211
12.8° (-3.9 to 29.4)
P = 0.132
Peak ankle dorsiflexion† Lift 1 34.7° (32.0 to 37.5) 25.2° (21.3 to 29.2) 9.5° (4.5 to 14.5)
P<0.001
9.8° (4.3 to 15.2)
P<0.001
Lift 95 26.7° (23.3 to 30.1) 22.7° (18.6 to 26.8) 4.0° (-1.0 to 9.0)
P = 0.119
4.8° (-0.2 to 9.8)
P = 0.061
Peak heel lift (mm) Lift 1 59.3 (49.9 to 68.7) 44.1 (40.8 to 47.4) 15.2 (5.7 to 24.8)
p = 0.002
14.2 (1.5 to 26.8) P = 0.028
Lift 95 57.4 (49.1 to 65.7) 46.5 (43.1 to 50.0) 10.9 (1.9 to 19.8)
P = 0.018
8.2 (-2.8 to 19.2) P = 0.143
TEMPORAL KINEMATICS
Peak lumbar (L1-L5) segment velocity relative to the vertical (deg/s) Lift 1 86.0 (78.6 to 93.3) 99.7 (91.3 to 108.0) -13.7 (-25.0 to -2.4)
P = 0.018
-18.3 (-29.5 to -7.0)
P = 0.001
Lift 95 102.5 (96.2 to 108.7) 114.4 (106.9 to 121.9) -11.9 (-21.6 to -2.0)
P = 0.017
-13.1 (-25.2 to -1.1)
P = 0.033
Average bending lumbar (L1-L5) segment velocity relative to the vertical (deg/s) Lift 1 39.6 (34.6 to 44.6) 52.1 (46.6 to 57.6) -12.5 (-20.3 to -4.7)
P = 0.002
-14.9 (-22.9 to -6.8)
P<0.001
Lift 95 49.3 (44.5 to 54.2) 57.8 (51.6 to 64.1) -8.5 (-16.6 to -0.3)
P = 0.041
-8.8 (-18.3 to 0.6)
P = 0.067
Average lifting lumbar (L1-L5) segment velocity relative to the vertical (deg/s) Lift 1 -27.8 (-32.8 to -22.8) -30.9 (-35.7 to -26.1) 3.0 (-4.2 to 10.3)
P = 0.411
3.0 (-5.9 to 12.0)
P = 0.503
Lift 95 -26.4 (-34.2 to -18.6) -20.4 (-27.7 to -13.2) -5.9 (-16.3 to 4.4)
P = 0.261
-2.8 (-13.2 to 7.6)
P = 0.599
Peak Thorax velocity (C7-T10 segment inclination deg/s) Lift 1 105.0 (96.6 to 113.4) 119.7 (109.9 to 129.4) -14.7 (-28.3 to -1.1)
P = 0.033
-21.8 (-35.7 to -8.0)
P = 0.002
Lift 95 129.4 (120.8 to 138.0) 138.3 (126.3 to 150.4) -8.9 (-23.6 to 5.7)
P = 0.232
-10.9 (-28.8 to 7.1)
P = 0.235
Average Thorax velocity (C7-T10) segment inclination (bend with no box deg/s) Lift 1 50.7 (45.7 to 55.7) 63.2 (57.2 to 69.2) -12.5 (-20.8 to -4.9)
P = 0.003
-16.0 (-24.9 to -7.4)
P<0.001
Lift 95 63.6 (58.0 to 69.2) 70.7 (62.6 to 78.8) -7.1 (-17.2 to 2.9)
P = 0.162
-7.9 (-19.4 to 3.6)
P = 0.179
Average Thorax velocity (C7-T10 segment inclination (lift with box deg/s) Lift 1 -37.7 (-43.4 to -32.0) -38.8 (-44.0 to -32.0) 1.1 (-7.0 to 9.1)
P = 0.795
0.5 (-9.3 to 10.4)
P = 0.913
Lift 95 -37.1 (-45.8 to -28.4) -26.7 (-35.3 to -18.2) -10.4 (-22.4 to 1.7)
P = 0.091
-5.4 (-17.2 to 6.3)
P = 0.365
KINETICS
Peak lumbar power (Normalised to body mass W/kg) Lift 1 0.8 (0.7 to 0.9) 0.8 (0.7 to 0.9) -0.0 (-0.2 to 0.2)
P = 0.999
0.0 (-0.1 to 0.2)
P = 0.913
Lift 95 0.9 (0.8 to 1.0) 1.0 (0.9 to 1.1) -0.1 (-0.2 to 0.0)
P = 0.141
-0.0 (-0.1 to 0.1)
P = 0.758
Average lumbar power (Normalised to body mass W/kg) (bend with no box) Lift 1 0.4 (0.3 to 0.4) 0.4 (0.3 to 0.4) -0.0 (-0.1 to 0.0)
P = 0.464
-0.0 (-0.1 to 0.1)
P = 0.634
Lift 95 0.4 (0.3 to 0.4) 0.4 (0.4 to 0.5) -0.0 (-0.1 to 0.0)
P = 0.206
-0.0 (-0.1 to 0.0)
P = 0.479
Average lumbar power (Normalised to body mass W/kg) (lift with box) Lift 1 -0.3 (-0.3 to -0.2) -0.3 (-0.3 to -0.2) -0.0 (-0.1 to 0.0)
P = 0.589
-0.0 (-0.1 to 0.1)
P = 0.895
Lift 95 -0.3 (-0. to -0.2) -0.2 (-0.3 to -0.1) -0.0 (-0.1 to -0.0)
P = 0.257
-0.0 (-0.1 to 0.0)
P = 0.209
Peak hip power (Normalised to body mass W/kg) Lift 1 1.4 (1.1 to 1.6) 1.4 (1.3 to 1.6) -0.1 (-0.4 to 0.2)
P = 0.539
-0.1 (-0.4 to 0.3)
P = 0.668
Lift 95 1.6 (1.2 to 2.0) 1.3 (1.0 to 1.5) 0.4 (-0.1 to 0.9)
P = 0.126
0.2 (-0.1 to 0.6)
P = 0.221
Peak knee power (Normalised to body mass W/kg) Lift 1 1.1 (0.9 to 1.2) 0.7 (0.5 to 0.9) 0.3 (0.1 to 0.6)
P = 0.004
0.2 (0.0 to 0.5)
P = 0.023
Lift 95 0.8 (0.6 to 1.0) 0.6 (0.4 to 0.7) 0.3 (0.0 to 0.5)
P = 0.045
0.3 (0.0 to 0.7)
P = 0.028
Peak lumbar moment (Normalised to body mass) (NM/kg) Lift 1 2.4 (2.3 to 2.5) 2.4 (2.2 to 2.5) 0.0 (-0.1 to 0.2)
P = 0.920
0.0 (-0.2 to 0.2)
P = 0.996
Lift 95 2.7 (2.6 to 2.9) 2.8 (2.6 to 3.0) -0.1 (-0.3 to 0.2)
P = 0.583
0.0 (-0.3 to 0.2)
P = 0.690
Peak lumbar external anterior shear force (Normalised to body mass) (N/kg) Lift 1 4.5 (4.2 to 4.8) 4.9 (4.6 to 5.2) -0.4 (-0.8 to 0.0)
P = 0.032
-0.7 (-1.2 to -0.1)
P = 0.010
Lift 95 5.8 (5.4 to 6.1) 6.1 (5.8 to 6.1) -0.3 (-0.8 to 0.1)
P = 0.106
-0.3 (-0.8 to 0.1)
P = 0.103
Peak lumbar lateral shear force (Normalised to body mass) (N/kg) Lift 1 0.5 (0.4 to 0.5) 0.5 (0.4 to 0.6) 0.0 (-0.1 to 0.0)
P = 0.320
-0.1 (-0.2 to 0.1)
P = 0.239
Lift 95 0.6 (0.6 to 0.7) 0.8 (0.7 to 0.9) -0.1 (-0.2 to 0.0)
P = 0.054
-0.1 (-0.3 to 0.0)
P = 0.175
Peak lumbar external compression force (Normalised to body mass) (N/kg) Lift 1 4.2 (4.1 to 4.3) 4.3 (3.9 to 4.7) -0.1 (-0.5 to 0.3)
P = 0.681
0.0 (-0.5 to 0.5)
P = 0.917
Lift 95 4.8 (4.6 to 5.0) 4.9 (4.5 to 5.3) -0.1 (-0.6 to 0.4)
P = 0.697
-0.2 (-0.9 to 0.4)
P = 0.472

*Adjusted for age, sex, height, weight, an interaction between pain group and lift type, an interaction between box weight and lift type and lift number.

Significant interaction between group and time.

Significant time effect.

Sample size

Based on a pre-hoc estimation of 100 lifts per participant, the Optimal Design Plus software (hlmsoft.net) was used to calculate the target sample size. A sample of 40 participants (20 LBP, 20 noLBP) was estimated to conservatively provide 80% power to detect a 2.5° (6%) difference in peak absolute intra-lumbar flexion (an effect size of 0.30, based on the Sanchez-Zuriaga 2011 data) [35], with a p-value of 0.05, given a peak absolute lumbar flexion angle of 41.1° (SD 8.6°).

Data analysis

Between-group comparisons of demographic, pain and fatigue variables were analysed with bias-corrected bootstrapped (100 samples with replacement) linear regression. Between-group comparisons of kinematic and kinetic variables used multi-level linear mixed models, bias-corrected bootstrapped with the unadjusted and adjusted estimates reported [36,37]. In the unadjusted models, the dependent variable was the kinematic or kinetic variable of interest, the level 1 independent variables were group (LBP/NoLBP), time (lift number) and the interaction between them, and the level 2 variables were participant ID and lift number. The adjusted models also controlled for age, sex, height and weight, lift type (symmetrical/asymmetrical), box weight (unloaded/loaded), the group by lift type interaction, and the box weight by lift type interaction. Those two interactions were retained because they were statistically significant (p<0.05) during preliminary model building.

To identify whether kinematics or kinetics were associated with change in LBP intensity (pain ramp), over a repeated lifting task, we also used bias-corrected bootstrapped multi-level linear mixed models, where pain ramp was the dependant variable and a single kinematic or kinetic variable was the independent variable. Pain ramp was defined as the change in pain from lift 0 to lift 100 in each participant. Only kinematics or kinetics that were different between groups were tested in this way, and were analysed in unadjusted (a single independent variable) and adjusted (the addition of age and sex) forms. All statistical analyses were performed using STATA version 15.1 (StataCorp, College Station, TX, USA) with a p-value of <0.05 as the threshold for statistical significance.

One female in the noLBP group was removed from analysis as her biomechanical data was not considered sufficiently accurate due to marker placement and movement related to high adiposity. Three further male participants’ kinetic data were removed (two LBP and one noLBP) due to an error made calibrating the laboratory or incorrect marker placement during data collection.

Results

The data of 41 participants were used for the kinematic analyses and 38 participants were used for kinetic analyses. The demographic variables of the participants were similar between groups Table 1. All participants completed the 100 lift task.

Table 1. Characteristics of worker participants both with a history of low back pain (LBP) and without a history of low back pain (noLBP).

LBP (n = 21) noLBP (n = 20) Between Group Differences
Demographics
Sex, Female (%) 7/21 (33.3%) 6/20 (30%) 3.3% (2.3–4.3%)
Age (years) 37.7 (31.1–44.2) 32.5 (27.6–37.4) 5.2 (-2.2–12.6
BMI (kg/m2) 24.0 (23.0–25.1) 24.0 (22.7–25.4) -0.0 (-1.6–1.6)
Pain and fatigue
Pain–Average previous week (0–10 Scale) 3.5 (2.7–4.3) 0.3 (0.0–0.6) 3.1 (2.2–4.0)
Pain–Entering lab (0–10 Scale) 1.9 (1.3–2.6) 0.4 (0.1–0.7) 1.5 (0.8–2.2)
Pain–Beginning of lifting task (0–10 Scale) 1.6 (1.0–2.3) 0.1 (-0.0–0.3) 1.5 (0.8–2.2)
Pain–End of lifting task (0–10 Scale) 3.8 (2.7–4.9) 0.8 (0.3–1.3) 3.0 (1.8–4.1)
Fatigue–post lifting task (Borg Perceived Exertion Scale 0–10) 6.5 (5.5–7.4) 3.3 (2.0–4.6) 3.2 (1.6–4.8)

Between-group comparisons of demographic, pain and fatigue variables were analysed with bias-corrected bootstrapped (100 samples with replacement) linear regression. Data are mean and (95%CI) unless otherwise stated.

Aim 1- are there differences in how people with and without LBP lift?

During the lifting phase, compared to manual workers with no history of LBP, the LBP group began the repeated lifting task using a technique that was more squat-like (Table 2). That is, they lifted with a deeper knee bend (26.4° greater), more vertically inclined thorax (15.3°) and pelvis (16.6°), less intra-lumbar flexion (-4.9°) and greater ankle dorsiflexion (9.8°). Peak thorax (-21.8°/sec) and lumbar (-18.3°/sec) bending velocities and also average thorax (-16.0°/sec) and lumbar (-14.9°/sec) velocities were slower in the LBP group. Only two kinetic measures were different, with the LBP group demonstrating greater peak knee power (0.2W/kg) and less peak external lumbar anterior shear force (-0.7 N/kg) at the beginning of the repeated lifting task.

Of all the differences that were observed during the first lifts of the repeated task between groups, only higher peak knee power and a slower lumbar peak bending velocity persisted in the LBP group when performing the final lifts. Therefore, the groups were much more similar in lifting kinematics and kinetics at the end of the task compared to the beginning. Fig 2 depicts the lifting kinematics of the LBP and noLBP groups at the beginning and completion of the lifting task, with greater squat in the LBP group at the beginning, followed by a transition to a more stoop-like style over time. The results for the lowering phase (loaded bending and unloaded return), were similar to that which occurred in the lifting phase (unloaded lowering and loaded return), except for peak intra-lumbar flexion and thorax inclination, which remained less flexed in the LBP group throughout the task (further detailed in S3 Table).

Fig 2. Representation of change in kinematics over time in the LBP group.

Fig 2

Peak knee flexion and peak thorax inclination angles during the lifting phase are highlighted in the images. By the end of the lift trial, the LBP group transition toward a more stoop-like style, similar to that of the noLBP group.

Aim 2—are kinematics or kinetics associated with change in LBP intensity (pain ramp) over a repeated lift task in the LBP group?

Pain intensity in the LBP group increased on average by 2.2 points on a 0 to 10 point NPRS over the duration of the 100 lift task, although, individual pain responses varied (Fig 3).

Fig 3. Pain ramp in the LBP group by participant.

Fig 3

The y axis represents LBP intensity on a numerical pain rating score (0–10) which was asked after every 10 lifts. The x axis represents lift number. Not all 100 lifts were usable for data analysis for every participant based on various errors in data capture.

Of the 21 biomechanical variables that were different when comparing between groups, during either the lifting or lowering phase, only pelvic position at box lift off, during the lifting phase was associated with pain ramp in the LBP group (adjusted coefficient 0.008 (95%CI 0.000 to 0.017, P = 0.042)) (Tables 3 and S4).

Table 3. In those workers with a history of low back pain (LBP group), associations between pain ramp during the lifting phase and each kinematic or kinetic variable that was different between groups.

Unadjusted Coefficient (95% CI) p-value Adjusted* Coefficient (95% CI) p-value
Lifting Phase—Spatial kinematics
Peak intra-lumbar flexion 0.010 (-0.009 to 0.029) 0.320 0.009 (-0.012 to 0.029) 0.370
Peak thorax inclination (C7-T10 segment inclination relative to the vertical) 0.005 (-0.003 to 0.012) 0.210 0.005 (-0.003 to 0.012) 0.213
Peak knee flexion -0.004 (-0.008 to 0.001) 0.111 -0.004 (-0.008 to 0.001) 0.109
Peak ankle dorsiflexion -0.014 (-0.028 to -0.000) 0.049 -0.014 (-0.028 to 0.000) 0.053
Peak heel lift 0.002 (-0.003 to 0.008) 0.435 0.002 (-0.003 to 0.008) 0.415
Pelvic inclination at box lift off 0.009 (0.000 to 0.017) 0.042 0.008 (0.000 to 0.017) 0.042
Lifting phase—Temporal kinematics
Peak lumbar velocity (L1-L5 segment inclination relative to the vertical) 0.002 (-0.004 to 0.008) 0.508 0.002 (-0.004 to 0.007) 0.530
Average lumbar velocity during unloaded bending phase (L1-L5 segment inclination relative to the vertical) 0.003 (-0.004 to 0.010) 0.390 0.003 (-0.004 to 0.010) 0.408
Peak thorax velocity (C7-T10 segment inclination relative to the vertical) 0.001 (-0.003 to 0.005) 0.587 0.001 (-0.003 to 0.005) 0.617
Average thorax velocity during unloaded bending phase (C7-T10 segment inclination relative to the vertical) 0.002 (-0.003 to 0.008) 0.394 0.002 (-0.003 to 0.008) 0.416
Lifting phase—kinetics
Peak knee power -0.005 (-0.131 to 0.122) 0.941 -0.007 (-0.134 to 0.120) 0.913
Peak external anterior shear force 0.064 (-0.102 to 0.230) 0.452 0.062 (-0.105 to 0.228) 0.468

* Adjusted for age and sex.

Discussion

Summary of results

This cross-sectional study addressed a number of limitations of the in-vivo lifting-related LBP literature. For the first time, lumbar and lower limb kinematics and kinetics of long term (>5 years) manual workers who have not experienced disabling LBP, were compared to a group of manual workers with a history of disabling LBP related to, and aggravated by, lifting. Further, we deem the criteria of this lifting task an important distinguishing feature of our study. Ground level asymmetrical lifts are where risk of injury is reported to be greatest and often have not been included in previous research [3840]. Most occupational lifting is not from an optimal position directly in front of the body [41], and the repeated 100 lift task allowed for the analysis of biomechanical changes over time between groups. At the start of the repeated lifting task the group with LBP demonstrated less peak intra-lumbar spine flexion, greater vertical orientation of the thorax and pelvis and greater peak knee flexion (more squat-like lift), compared to the group without LBP. The group with LBP also moved slower in general, across both the lifting and lowering phases, and had less estimated peak external lumbar anterior shear force. By the end of this 100-lift task, while both groups lifted using a more comparable technique that was more aligned to a stoop-like lift (Fig 2), the LBP group still demonstrated a tendency to perform a slower and more squat-like lift throughout the task. Despite bending their knees more at the beginning and generating higher peak knee power throughout the task, this had no influence on peak lumbar power which was similar between groups for the entirety of the lifting task. Of the 21 variables that were different between groups (which were mostly at the beginning of the task), the only biomechanical variable related to pain ramp was pelvic inclination at box lift off, during the lifting phase. As no other kinetic or kinematic measure was associated with pain ramp, and people with LBP lifted more like the group without LBP over time, this relationship between pelvic position and pain ramp may be a chance finding.

Aim 1 –comparison of lifting technique between LBP and noLBP groups

Our findings are broadly in line with a recent systematic review that found people with LBP lift with a slower and deeper squat with less spinal ROM when compared to people without pain who lift faster and more stooped [19]. Our study addressed a number of the limitations identified by this systematic review including: poor description of participants and recruitment method, low number of lifts, heterogeneity across included LBP groups and questionable validity of how lumbar spine flexion was measured. This was also the first study to compare the range of biomechanical variables that have previously been thought to expose the lumbar spine to pain or injury during lifting. We included lumbar; posture, forces, velocity and power during lifting, and compared between groups with and without LBP. By providing both lower limb and lumbar kinematics and kinetics over repeated lifts, this study provides novel insight into the relationship between whole body biomechanics and lifting related LBP.

There is a growing body of cross-sectional evidence demonstrating that people with LBP tend to lift and bend in a manner that is different to people without LBP, using a more squat-like technique [19] with less lumbar flexion [18,28]. Interestingly, this lifting technique is advocated in manual handling training to reduce the risk of LBP [9]. Although this cross-sectional study cannot determine the cause-effect relationship of LBP related to lifting, or the reason for the differences seen in lifting technique, previous research has demonstrated that people both with LBP [42,43] and without LBP [44], who have higher levels of pain-related fear, lift with less lumbar flexion. There is also evidence that as people with chronic LBP improve, how they perform activities such as bending and lifting becomes faster with greater lumbar ROM in most cases [45]. Together this work suggests that people with LBP perceive squat-like lifting to be ‘protective’ during bending and lifting and therefore move accordingly.

A unique finding of our study, is the tendency for people with LBP to shift with repeated lifting over time towards a more stoop-like lifting technique (more horizontal thorax, knee extension etc). Even so, some differences remained at completion of the task, where the LBP group lifted slower with less intra-lumbar flexion. Previous studies that have shown differences between groups with and without LBP, have usually only measured less than 10 lifts in a laboratory environment, which is unlikely to replicate what occurs in a manual workplace [35,4648]. In our study, the LBP group reported greater levels of fatigue (6.5/10) during the lifting task compared to the group without LBP (3.3/10), which may partly explain this change in lifting technique over the duration of the task. Previous studies report that a stoop style lift is preferred by workers performing frequent heavy manual tasks as this lifting style has been shown to be more energy efficient compared to squat lifting [4952]. Quadriceps muscle fatigue is thought to be one reason why repetitive squat lifting is not sustainable [51,53]. Therefore, advising people in workplaces to lift with a more vertical inclination of the spine and deeper knee bend is less efficient and may not be realistic for people engaged in repeated lifting. Furthermore, workplace prevention strategies targeting lifting with a ‘straight’ back have not been shown to be effective [68], although one reason for this lack of efficacy could be that this advice is not being followed.

There is debate as to whether any lifting technique is superior at reducing net forces on the lumbar spine and therefore its application to risk reduction related to LBP [5457]. In our study, both groups’ external lumbar peak; anterior shear forces, net moment and power increased over time and were similar between groups at the end of the task. This has been shown in other studies in repeated and fatiguing lifting and seems a normal response to repetitive lifting [52]. This has not been investigated previously in people with and without LBP. Increases in lumbar kinetics with repeated lifts in our study, are likely due to greater peak velocities and greater peak thorax flexion. While it is believed that higher peak lumbar forces combined with greater lumbar flexion is associated with lifting-related LBP, we did not observe this. The idea that lumbar flexion combined with high lumbar forces causes LBP, has been extrapolated from in-vitro studies [11,12,58], theorised based on spinal modelling [5961] and inferred from intra-discal pressure studies [6264]. To date no in-vivo data exists to support this view [18].

Aim 2 –association of pain ramp in the LBP group and changes in kinetics and kinematics during lifting

To our knowledge, our study is the first to investigate the relationship between changes in lifting biomechanics and changes in pain intensity (pain ramp) over a repeated lifting task. On average there was a 2.2 point increase in pain intensity in the LBP group during the repeated lifting task, which is similar to previous reports of pain ramp related with repeated lifting and bending in people with LBP [25,65]. This affirms that this lifting task was pain provocative for many of these manual workers. While most of the LBP group reported increasing pain intensity over the 100 lifts, 2 of 21 LBP participants did not experience greater pain and 1 of 21 experienced pain reduction following the lifting task (Fig 3). While we specifically recruited people with a history of lifting-related LBP, not all participants demonstrated pain ramp during our lifting tasks, suggestive of variability in responses to lifting and the episodic nature of LBP in a cohort with a known history of lifting related-LBP. These findings are consistent with previous reports of variable pain responses to repeated movement [24,66]. Previous studies investigating pain ramp during repeated bending or repeated lifting have not measured lumbar kinematics or kinetics [24,25].

Only 1 out of 21 variables that were different when comparing lifting biomechanics between groups was associated with pain ramp in the LBP group, suggesting that there was no conclusive evidence that any single biomechanical factor explained pain ramp during repeated lifting. Pelvic tilt at box lift off during the lifting phase, was the only variable associated with pain ramp in the LBP group. This one finding may be spurious, as no other biomechanical variable showed a relation with pain ramp and the two groups became more homogeneous over the duration of the lifting task. Further, a post-hoc sensitivity analysis (S5 Table) was conducted with removal of the three participants who did not experience an increase in pain with repeated lifts. The beta coefficients changed by +/- 0.001 or 0.002, and the only previously significant association (pelvic tilt at box lift off during the lifting phase) was no longer statistically significant. Therefore, based on our results, this sensitivity analysis reinforced the observation that there is no conclusive evidence that single biomechanical factors explain pain responses to repeated lifting.

Historically, singular biomechanical variables, such as lumbar compressive force or lumbar flexion during lifting, were thought to drive lifting related-LBP through tissue injury/strain mechanisms [15,6770]. In this study, people with and without LBP moved more similarly by the end of the 100 lift task and experienced similar peak lumbar forces yet had very different pain experiences.

When interpreting the findings of this study, it could be argued that squat lifting represents a protective/helpful strategy for people with LBP and the transition towards more stooped lifting over the 100 lifts did co-occur with increased pain for these people. To be clear, the LBP group were still more squat-like compared to the noLBP group at the end of the task and both groups transitioned to more stoop-like lifting with repeated lifts. However, when we tested the association between biomechanical parameters and pain ramp, no associations were found (except one, which is likely a type 1 error). These findings do not support the contention that squat lifting was a protective/helpful strategy for people with LBP. As there seems no clear biomechanical advantage of more squat-like lifting based on our results or any other research in persistent LBP [21,22], the reason people with LBP adopt a more squat-like lift remains unknown.

The lack of association between lifting biomechanics and pain ramp highlights the potential role of non-biomechanical factors in a person’s pain experience [71,72]. For example, previous research has demonstrated a relationship, in people with LBP, between greater pain ramp following a repeated bending and lifting task and higher levels of psychological distress and also greater sensitivity to pressure and cold stimuli [24]. In another study of people with chronic LBP, there was a relationship with greater pain ramp during repeated lifting and higher levels of pain related fear [25]. Given the lack of evidence for biomechanical associations with pain ramp in our study, future research should also investigate the interplay of non-biomechanical factors on a person’s pain experience during lifting.

Strengths and limitations

This study is the first to explore the biomechanics of repeated lifting in manual workers with lifting-related LBP compared to a group of manual workers engaged in repeated lifting for over 5 years with no history of LBP. The lifting task involved two different load weights, symmetrical and asymmetrical lifts, men and women, and was pain provoking for those with LBP. This allowed participants to move in a natural unconstrained manner for 100 lifts and attempted to replicate similar demands of workplace lifting occupations with gold standard recording of kinematics and kinetics during lifting. Pain intensity was tracked after every 10 lifts which allowed for the exploration of relationships between lifting technique and pain intensity. The limitations of this study include the use of a lab-based design so there is uncertain ecological validity; people with lifting-related LBP who have not continued manual work were not included in this sample (a potential survivor-bias); and how accurately skin markers represent underlying joint movement is of some debate but regularly performed in this field of research. Further, there was no use of EMG in this study and therefore no internal force estimates were possible. As stated previously, the cross-sectional design precludes insight into cause and effect, so it is unclear whether between-group differences were contributed to by pain or were a response to the pain experience, or neither. The weights lifted were of a low magnitude and therefore we do not know if these results generalise to heavy lifting.

Implications

There are strong beliefs in both occupational health and clinical settings regarding the importance of squat lifting and minimising lumbar flexion, both for the prevention and management of LBP [79,14,17,26,27]. This is commonly taught in the workplace and advocated in clinical and rehabilitation settings [6]. However, there is currently no in-vivo evidence to support this view [18,19,2123]. In contrast, there is growing evidence that people with LBP demonstrate a lifting technique that they perceive to be ‘protective’ compared to people without LBP [19,21,22]. That is, people with LBP tend to lift with a deeper knee bend, more vertically inclined thorax and less intra-lumbar flexion (squat lift) and slower. Ironically, survivors in our study (those who have been employed in manual work for greater than 5 years without LBP) tended to lift in a manner that is considered to increase their risk for the development of LBP (more stoop-like with greater lumbar flexion and faster). This finding is consistent with reports of manual workers who find stoop lifting is more efficient [49,51].

While the cross-sectional nature of this study limits any conclusions regarding causation, the findings raise some interesting questions for both occupational health advisers and clinicians. Given there is currently no clear in-vivo evidence regarding the safest way to lift, it may be more helpful to focus less on the exact lifting technique and more about a person’s general health, strength and fitness, lifting efficiency and confidence to engage in repeated lifting tasks. Indeed, telling a person to adopt repeated squat lifting across a day may be fatiguing and unrealistic. This notion is consistent with previous research that has reported the risk of LBP when lifting is greater when a person is tired or fatigued [3]. High quality prospective research into the relationship between lifting biomechanics and the development of LBP is required to better understand risk.

For clinicians managing people with LBP related to lifting, advising them to adopt more squat-like lifting techniques in order to reduce the risk of LBP or manage it lacks evidence. Recent research supports that recovery from chronic and disabling LBP is associated with movement patterns that society perceives to be less safe (a more flexed lumbar spine and faster movement speed) [45]. The lack of clear associations with lifting biomechanics and pain intensity during repeated lifting in this study, suggests a range of factors across biopsychosocial domains should be explored to best assist those with lifting-related LBP [73,74]. Simply focusing on the biomechanics of what has been previously proposed as ‘ideal’ lifting, may be misguided [75].

Conclusion

Manual workers with a history of LBP used a slower deeper squat pattern compared to people without LBP at the beginning of a lifting task. Manual workers with >5 years’ experience, without a history of LBP, utilized a more stoop-like lifting strategy that was faster. The LBP group transitioned to more stoop-like lifting over the 100 lifts to be more like the noLBP group, although some indicators of what society perceives a ‘safer’ lifting pattern remained. Pain ramp occurred in the LBP group, although that response was variable across individuals, and there was no conclusive evidence for an association between biomechanical variables and pain ramp. Common assumptions that LBP is associated with lumbar kinematics or kinetics such as greater lumbar flexion or greater forces were not observed in this study, raising questions about the current paradigm around ‘safe lifting’.

Supporting information

S1 Table. Marker locations.

(DOCX)

S2 Table. Description of angular kinematics.

(DOCX)

S3 Table. Kinematic and kinetic between group comparisons during lowering phase.

(DOCX)

S4 Table. Associations between pain ramp during the lowering phase and each kinematic or kinetic variable that was different between groups—associations for the LBP group only.

(DOCX)

S5 Table. In those workers with a history of low back pain (LBP group), associations between pain ramp during the lifting and lowering phases and each kinematic or kinetic variable that was different between groups.

For this sensitivity analysis, those participants (6, 11 and 18) who did not experience pain increase with lifting were removed.

(DOCX)

S1 File. Lift testing procedures.

(DOCX)

S2 File. Biomechanical modelling.

(DOCX)

Acknowledgments

The authors acknowledge Professor Anne Smith, Mr Jarrad Kerron and Mr Paul Davey for their contributions to this paper.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

An Australian Government Research Training Program Scholarship was received by the lead author to support his capacity to undertake this research. A third party physiotherapy organisation (Biosymm) provided a $50 voucher for the participant’s time spent in data collection. Neither funder played any role in the design, analysis, or reporting of this study.

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Decision Letter 0

Daniel Boullosa

28 Apr 2021

PONE-D-21-06065

Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP.

PLOS ONE

Dear Dr. Saraceni,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please, state the criteria for lifting task and associated biomechanical parameters selection. Please, state in the abstract the limted validity of this lifting task to only abstract readers.

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: I Don't Know

Reviewer #2: Yes

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Reviewer #1: No

Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #1: General comments

I was highly impressed with many aspects of the study described in this manuscript as well as the manner in which the manuscript was written and presented. Specifically, the rationale for the study was well presented, along with the limitations of the previous literature which then directly informed the design of the study. The selection of the two experimental groups, including the inclusion and exclusion criteria, the number and variety of actual lifting tasks included in the experimental design and the wide variety of kinematic and kinetic measures were also strengths of the study. The provided appendices also provide excellent additional detail regarding aspects of the methods. Some minor ways in which this manuscript can be improved are described in in specific comments section.

Specific comments

Line 74 – 78: could this be a little bit of the chicken and egg type scenario? Is it possible that individuals with LBP may use more of a squat style then stoop style lifting approach as squat style lifting elicits less pain? Thus, is it potentially the only motor control strategy they have available that protects them from increased pain? Such a view may also need to be included within the discussion in some places when interpreting results. Based on your results it may then be when fatigue (especially quadricep and perhaps cardiovascular) increases, they are then forced into using a more stoop lifting pattern which then contributes to increased pain.

Line 138 – 140: was there also any inclusion or exclusion criteria relating to number of years they have been involved in manual lifting in their employment situation? If not, was such data collected from each participant?

Line 160 – 164: while I was impressed with the larger number and variety of lift types that your personal performed competitor other studies, can you provide some context to the potential representative of the number of lifts, height of lift and mass of loads to common lifting requirements in the workplace? Further, where the participants able to lift the 100 loads at a self-selected time and cadence? If so, could such data be presented for each group?

Line 187 – 189: were all these variables collected on just one or two sides of the body? If they were collected on both sides of the body, have you reported an average of both sides in your results?

Line 226 – 236: as the statistical modelling approach described in this section is somewhat complex as a result of your research design, it might be useful to provide some key references that support your statistical approach.

Line 239: while you have used the phrase “pain ramp” many times in the manuscript including the abstract, this appears to be the first time that you attempt to define this variable. As this appears to be a key outcome in your study, I would suggest you need to describe it in some detail within your introduction and provide a more explicit definition and references to support its use in your study.

Line 241 – 243: I understand the rationale for using the kinematic or kinetic variables that differ between groups, but as a result of the large number of dependent variables in the study and the relative strong correlations expected between many of these variables, would a statistical approach to reduce the number of dependent variables such as a PCA have been better to utilise in this case?

Line 244-245: following on from my previous comment regarding a large number of dependent variables, you have conducted a very large of statistical analysis and therefore is it appropriate that a p value of 0.05 be used for every statistical comparison?

Table 1: can you please be more explicit whether these values for the two groups are means and the 95% confidence intervals, as you have used in other tables?

Table 2: are all these comparisons for lift 1 and lift 95? If so, would it be better to compare the first five verse last five lifts to get a better representation of the initial and later lifts of the 100 lift series? Further, your first subcategory of “Kinematic’ is perhaps not completely accurate as your second subcategory of “Velocity” is also a kinematic variable. Therefore, should your first category be something like “Linear and Angular Displacement”?

Line 376: this should read “increased over time”.

Line 394 – 398: would the results of your analysis differ if you excluded these individuals who didn’t experience the pain ramp? I therefore suggest it might be useful to look further into this inter-individual response in pain ramp.

Line 465: this should read “is tired or fatigued”.

Reviewer #2: Dear editor, thank you for giving me the opportunity to review this interesting study.

I think this study is an important piece of research contributing to increase our knowledge in the low back pain field.

I think the manuscript should be accepted for publication after some minor corrections are addressed. Below you can find my comments:

Line 186: brackets are not necessary for the word “appendix”.

Line 191: two dots after the word “peak”

Line 257: I recommend not to use p-values for baseline characteristics in table 1, as recommended by David Moher et al., in their Guideline for Reporting Health Research. Baseline characteristics is a descriptive analysis not inferential analysis.

Table 1: it is not clear what is depicted in brackets, is it range? If so, the value is mean or median? With such a small sample I recommend reporting median (range).

Table 2: the degree º symbol is missing in some data.

Line 375: I think an apostrophe is missing after “groups”

Lines 376: “increase” should be in past perfect tense: increased

Lines 393 to 401: the finding that some participants didn’t worsen, or one even improved, pain with repeated flexion might be explained by the directional preference concept where in patients with discogenic lumbar pain there is a directional movement (flexion, extension or lateral flexion) that improves their symptoms (Surkitt LD, et al. Phys Ther. 2012).

Line 465: “fatigue” should be in past perfect tense: fatigued.

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Reviewer #1: Yes: Justin Keogh

Reviewer #2: No

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PLoS One. 2021 Jul 21;16(7):e0254241. doi: 10.1371/journal.pone.0254241.r002

Author response to Decision Letter 0


4 Jun 2021

PLOS One Manuscript PONE-D-21-06065: Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP.

Authors’ response to review comments and suggestions

May 2021

Thank you, Associate Editor and reviewers, for your insightful comments on this manuscript. Below, we address these concerns and provide details of how we have amended the manuscript to improve it.

Academic Editor Daniel Boullosa

Editor comments:

1. Please, state the criteria for lifting task and associated biomechanical parameters selection.

Authors’ response:

Thank you for highlighting this. The lifting task was designed to address the limitations of previous studies in this area. Our study included:

- Symmetrical and asymmetrical lifts from the floor.

- Two different box weights.

- Repeated lifts to induce fatigue, so responses to fatigue/pain/repetition could be investigated in groups of people with and without LBP.

- We encouraged participants to complete the lifting task in their natural way.

Many previous studies comparing lifting biomechanics in people with and without LBP have used lifting tasks that do not represent occupational lifting. Most have captured 3 lifts of a light object and only included lifts from directly in front of the body. Further, a vast majority of biomechanical lifting research instructs participants to lift in a certain way (stoop or squat) and therefore have not captured normal/natural lifting technique.

We have amended the method to highlight the criteria for the lifting task. Appendix 1 and Figure 1 also provide further clarity on lifting task design and requirements (all revised manuscript text is underlined and italicised in this document).

“Data for this laboratory study were collected during a 2-hour measurement session for each participant in 2019. The lifting task comprised 25 lifts (5 symmetrical and 20 asymmetrical) with an empty box (200 grams), followed by 75 lifts (15 symmetrical and 60 asymmetrical) with a box mass set at 10% of each participant’s body mass. All lifts were from the floor and participants were encouraged to perform the task in whichever way they felt they normally would, to reflect how they naturally lift at work. There was no set cadence for the lifting task. A detailed description of the testing procedures is provided in Appendix 1 and demonstrated in Figure 1.”

The biomechanical parameters selected in this study have mostly been studied previously, but usually with poorer quality measures and with lower quality data capture devices. For example, the lumbar spine has been previously measured as a single segment (from L1 to L5), which does not adequately estimate lumbar spine curvature during lifting. Whereas, we used a gold standard data capture device to measure lumbar kinetics and kinematics which included the estimation of lumbar spine curvature (L1-3 segment relative to L3-L5 segment) during lifting. Two recent systematic reviews highlight the previous low quality research in this area (1, 2), and the need for higher quality studies. The uniqueness of this study is that we captured lumbar forces, posture, velocity and power over a fatiguing lifting task, where participants lifted in their natural way. We also captured lower limb kinetics and kinematics together, and therefore the biomechanics of lifting could be better understood. Previous studies have usually looked at one element of lifting risk, such as lumbar forces or lumbar posture during lifting. No study has thoroughly investigated the range of biomechanical variables thought to be important in lifting-related LBP, with a high quality data capture device in relevant cohorts with and without LBP.

We have made further changes to the discussion to more explicitly state the reasoning behind criteria of the lifting task and also the associated biomechanical parameters selected.

“This cross-sectional study addressed a number of limitations of the in-vivo lifting-related LBP literature. For the first time, lumbar and lower limb kinematics and kinetics of long term (>5 years) manual workers who have not experienced disabling LBP, were compared to a group of manual workers with a history of disabling LBP related to, and aggravated by, lifting. Further, we deem the criteria of this lifting task an important distinguishing feature of our study. Ground level asymmetrical lifts are where risk of injury is reported to be greatest and often have not been included in previous research.[37-39] Most occupational lifting is not from an optimal position directly in front of the body,[40] and the repeated 100 lift task allowed for the analysis of biomechanical changes over time between groups.”

And

“Our findings are broadly in line with a recent systematic review that found people with LBP lift with a slower and deeper squat with less spinal ROM when compared to people without pain who lift faster and more stooped [19]. Our study addressed a number of the limitations identified by this systematic review including: poor description of participants and recruitment method, low number of lifts, heterogeneity across included LBP groups and questionable validity of how lumbar spine flexion was measured. This was also the first study to compare the range of biomechanical variables that have previously been thought to expose the lumbar spine to pain or injury during lifting. We included lumbar; posture, forces, velocity and power during lifting, and compared between groups with and without LBP. By providing both lower limb and lumbar kinematics and kinetics over repeated lifts, this study provides novel insight into the relationship between whole body biomechanics and lifting related LBP.”

2. Please, state in the abstract the limited validity of this lifting task to only abstract readers.

Authors’ response:

Thank you for highlighting this oversight. We recognise the importance of clarity for abstract only readers. We therefore have amended the abstract as follows:

Abstract

“Purpose: To investigate if lumbar and lower limb kinematics or kinetics are different between groups with and without a history of LBP during lifting. Secondly, to investigate relationships between biomechanical variables and pain ramp during repeated lifting. Methods: 21 LBP and 20 noLBP participants completed a 100-lift task, where gold-standard kinematics and kinetics were measured during lifting, with a simultaneous report of LBP intensity every 10 lifts. Lifts were performed in a laboratory setting, limiting ecological validity. Results: The LBP group used a different lifting technique to the noLBP group at the beginning of the task (slower and more squat-like). Kinetic differences at the beginning included less peak lumbar external anterior shear force and greater peak knee power demonstrated by the LBP group. However, at the end of the task, both groups lifted with a much more similar technique that could be classified as more stoop-like and faster. Peak knee power remained greater in the LBP group throughout and was the only kinetic difference between groups at the end of the lifting task. While both groups lifted using a more comparable technique at the end, the LBP group still demonstrated a tendency to perform a slower and more squat-like lift throughout the task. Only one of 21 variables (pelvic tilt at box lift-off), was associated with pain ramp in the LBP group. Conclusions: Workers with a history of LBP, lift with a style that is slower and more squat-like than workers without any history of LBP. Common assumptions that LBP is associated with lumbar kinematics or kinetics such as greater lumbar flexion or greater forces were not observed in this study, raising questions about the current paradigm around ‘safe lifting’.”

Reviewer 1

Specific comments:

3. Line 74 – 78: could this be a little bit of the chicken and egg type scenario? Is it possible that individuals with LBP may use more of a squat style then stoop style lifting approach as squat style lifting elicits less pain? Thus, is it potentially the only motor control strategy they have available that protects them from increased pain? Such a view may also need to be included within the discussion in some places when interpreting results. Based on your results it may then be when fatigue (especially quadricep and perhaps cardiovascular) increases, they are then forced into using a more stoop lifting pattern which then contributes to increased pain.

Authors’ response:

Thank you for your thoughtfulness about this particularly important interpretation of our results. We understand the logic of this line of reasoning and we considered this view at length based on our results and therefore we have clarified elements of the discussion in-line with your suggestions and comments:

“When interpreting the findings of this study, it could be argued that squat lifting represents a protective/helpful strategy for people with LBP and the transition towards more stooped lifting over the 100 lifts did co-occur with increased pain for these people. To be clear, the LBP group were still more squat-like compared to the noLBP group at the end of the task and both groups transitioned to more stoop-like lifting with repeated lifts.

However, when we tested the association between biomechanical parameters and pain ramp up, no associations were found (except one, which is likely a type 1 error). These findings do not support the contention that squat lifting was protective/helpful strategy for people with LBP. As there seems no clear biomechanical advantage of squat lifting based on our results or any other research in persistent LBP [21, 22], the reason people with LBP squat to lift remains unknown.”

And

“There is a growing body of cross-sectional evidence demonstrating that people with LBP tend to lift and bend in a manner that is different to people without LBP, using a more squat-like technique [19] with less lumbar flexion [18, 28]. Interestingly, this lifting technique is advocated in manual handling training to reduce the risk of LBP [9]. Although this cross-sectional study cannot determine the cause-effect relationship of LBP related to lifting, or the reason for the differences seen in lifting technique, previous research has demonstrated that people both with LBP [41, 42] and without LBP,[43] who have higher levels of pain-related fear, lift with less lumbar flexion. There is also evidence that as people with chronic LBP improve, how they perform activities such as bending and lifting becomes faster with greater lumbar ROM in most cases [44]. Together this work suggests that people with LBP perceive squat-like lifting to be ‘protective’ during bending and lifting and therefore move accordingly.”

4. Line 138 – 140: was there also any inclusion or exclusion criteria relating to number of years they have been involved in manual lifting in their employment situation? If not, was such data collected from each participant?

Authors’ response:

Thank you for highlighting this unintended oversight. The noLBP group must have been in manual work more than 20hours/week for >5 years with no history of LBP. We did not collect the exact hours/week or years in similar employment for each participant, only if they met these criteria or not. The inclusion criteria has been amended as follows:

“The noLBP Group satisfied the following additional criteria:

No history of disabling LBP over the past 5 years. This meant participants had never missed a day of work or made any change in activity levels due to LBP, had no LBP exceeding 24 hours that was greater than 3/10 intensity on a numerical pain rating scale (NPRS) and had not seen a healthcare worker for LBP [28].”

5. Line 160 – 164: while I was impressed with the larger number and variety of lift types that your personal performed competitor other studies, can you provide some context to the potential representative of the number of lifts, height of lift and mass of loads to common lifting requirements in the workplace? Further, where the participants able to lift the 100 loads at a self-selected time and cadence? If so, could such data be presented for each group?

Authors’ response:

The lifting task attempted to replicate regular work demands of the participants and capture reported lifting injury risk factors. Manual workers in similar occupations, have been reported to lift on average 933 times daily and most frequently between 1 and 10kg.(3) Occupational lifting where the trunk is flexed >60 degrees and rotated >30 degrees has been shown to increase the risk of LBP.(4) Therefore, we incorporated two different box weights (in a weight range of regular occupational lifting) as well as symmetrical and asymmetrical lift types from the floor. We also believed the large number of lifts in our study, helped in capturing natural lifting technique of participants compared to fewer than 10 in previous similar research. Further, greater risk of lifting injury is reported to occur when fatigue and loads increase.(5-7) We attempted to adequately capture this risk in our study, by incorporating a large number of asymmetrical lifts from the floor which were fatiguing and compared the biomechanics of lifting in this high risk position, between groups with and without LBP. The workers were all in occupations that involved repetitive lifting throughout the day (shelf stackers, labourers, tradesmen) and therefore completing 100 lifts in succession was not unfamiliar.

While we didn’t measure total lift time, we more specifically output the velocity of each body region during the lifting movement. This more detailed velocity information allowed us to see if either group lifted slower or faster. We output both peak and average velocity for all lifting phases (bending unweighted, rising with box, lowering with box and rising unweighted are all reported in Table 2 and Appendix 5). We deemed that output of velocity to be more accurate as it excludes little breaks that may have occurred during the data collection period (small pauses between lifts etc). A self-selected cadence was preferred as we wanted to capture natural lifting. The lifting task took approximately 10mins for all participants to complete, and it was completed with very few breaks, intentionally, so that we did not influence fatigue or pain report over the course of the lifting task.

6. Line 187 – 189: were all these variables collected on just one or two sides of the body? If they were collected on both sides of the body, have you reported an average of both sides in your results?

Authors’ response:

We collected both sides of the body and reported the average. We decided that this was an appropriate approach as statistically the hip, knee and ankle were all significantly correlated in every lift phase to that of the opposite side (Pearsons correlation co-efficients of >0.3). Further, as the reporting of the average of both sides did not alter the result, we deemed that reporting one result improved the readability of the paper.

The following has been added to the methods section of the paper:

“All data were inspected for outliers (i.e. >2SD from the mean) and where present, that specific lift was further visualised in Vicon. Where possible, a reason for any outlier was recorded (e.g. box not placed on force plate) and that particular outlier datum was removed from analysis. Each lift had two phases: a lifting phase (bend without box and lift with box) and a lowering phase (lowering with box and return to start position without box). The change point from lifting to lowering was when the trunk changed direction from rising to lowering (defined by the C7 marker angular velocity and box movement). Kinematic and kinetic variables are reported for each phase separately (Table 2 - lifting phase and Appendix 5 - lowering phase). The hip, knee and ankle variables were collected bilaterally and averaged. The left and right side peak kinematics and kinetics were all significantly correlated. The reporting of the average of both sides did not alter the results of the paper and therefore was used to improve the readability.”

7. Line 226 – 236: as the statistical modelling approach described in this section is somewhat complex as a result of your research design, it might be useful to provide some key references that support your statistical approach.

Authors’ response:

Thank you for this suggestion. We have now included two key references.

Leeden Rvd, Meijer E, Busing FMTA. Resampling Multilevel Models. In: Leeuw Jd, Meijer E, editors. Handbook of Multilevel Analysis. New York, NY: Springer New York; 2008. p. 401-33.

Harrison XA, Donaldson L, Correa-Cano ME, Evans J, Fisher DN, Goodwin CED, et al. A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ. 2018;6:e4794.

8. Line 239: while you have used the phrase “pain ramp” many times in the manuscript including the abstract, this appears to be the first time that you attempt to define this variable. As this appears to be a key outcome in your study, I would suggest you need to describe it in some detail within your introduction and provide a more explicit definition and references to support its use in your study.

Authors’ response:

Thank you for highlighting the lack of clarity of the term ‘pain ramp’. We have added detail to the Introduction and Methods.

We have added the following to the introduction:

“There is a surprising paucity of studies investigating forces on the lumbar spine in people with and without LBP, given the common messaging to ‘squat with a straight back to reduce load’, when lifting in occupational health settings. Further, no study reporting lumbar biomechanics in groups of people with LBP during lifting, has investigated if any of these biomechanical factors are associated with a change in pain intensity during repeated lifting (termed ‘pain ramp’ in this study). The only two studies investigating pain ramp during lifting, have explored relationships between non-biomechanical factors (quantitative sensory testing and psychological factors) and pain ramp[24, 25]. Manual handling advisors and others involved in healthcare, commonly advocate more squat-like lifting, even though there is no support from in-vivo research that the biomechanics of lifting and LBP intensity during lifting are associated [17, 26, 27].

And

“To identify whether kinematics or kinetics were associated with change in LBP intensity over a repeated lift task (pain ramp), we also used bias-corrected bootstrapped multi-level linear mixed models, where pain ramp was the dependant variable and a single kinematic or kinetic variable was the independent variable. Pain ramp was defined as the change in pain from lift 0 to lift 100 in each participant. Only kinematics or kinetics that were different between groups were tested in this way, and were analysed in unadjusted (a single independent variable) and adjusted (the addition of age and sex) forms. All statistical analyses were performed using STATA version 15.1 (StataCorp, College Station, TX, USA) with a p-value of <0.05 as the threshold for statistical significance.”

9. Line 241 – 243: I understand the rationale for using the kinematic or kinetic variables that differ between groups, but as a result of the large number of dependent variables in the study and the relative strong correlations expected between many of these variables, would a statistical approach to reduce the number of dependent variables such as a PCA have been better to utilise in this case?

Authors’ response:

Thanks for this query. Yes, the identification and modelling of latent variables (such as using PCA) would be interesting from a causal modelling perspective. However, in this descriptive study we only modelled ‘measured variables’ for two reasons. Firstly, to meet the need for an investigation of a comprehensive range of biomechanical factors that may be associated with LBP during lifting. And secondly, because keeping these variables in their measured forms is more likely to produce results that are more readily interpretable by readers from the clinical and manual handling communities.

10. Line 244-245: following on from my previous comment regarding a large number of dependent variables, you have conducted a very large of statistical analysis and therefore is it appropriate that a p value of 0.05 be used for every statistical comparison?

Yes, this is a good question. The debate in the research community about p-value correction for multiple testing is nuanced and there are diverse opinions about the appropriateness of such procedures. At its core is a concern about balancing Type 1 and Type 2 errors (about balance between finding differences that are actually due to chance compared with overlooking potentially useful findings) especially in exploratory studies, and about reproducibility.

One consideration is about circumstances where dependent variables might be highly correlated, as the observation that both outcomes result in significant findings in the same direction may reinforce our confidence in the results. In that circumstance, if we were to apply a Bonferroni-type correction, neither outcome might be significant, which is counterintuitive.

Another consideration is about what number of statistical tests should inform a p-value correction, with authors such as Matsunaga’s (2007) and Rubin (2017) making the distinction between different tests of the same hypothesis and single tests of different hypotheses.(8, 9) Rubin argues that it is most appropriate to conceptualize combined Type I error rate for multiple tests (familywise error) in relation to the number of different tests that are conducted on the same null hypothesis in the same study. Especially in exploratory studies. In our exploratory study, we are testing a large number of different hypotheses, such as ‘are there between group differences in x dependent variable at lift y?’. While we report the unadjusted and adjusted results for each of those hypotheses, that is not usually considered an indication for p-value correction.

In our study, there are 108 hypotheses tested (54 for each of the lifting and lowering phases) about between group differences, with 30 (28%) having p-values below 0.05. That rate of positive findings in this exploratory study does not appear to suggest that they are only the consequence of Type 1 error (5%). There were also 21 hypotheses tested about associations with pain ramp, with 1 (5%) having a p-value below 0.05 and that value becoming non-significant in the sensitivity analysis, supporting our interpretation that there is no conclusive evidence of any association.

11. Table 1: can you please be more explicit whether these values for the two groups are means and the 95% confidence intervals, as you have used in other tables?

Authors’ response:

Thank you for highlighting this. Data are mean and (95%CI) unless otherwise stated. This has been added to the footnotes of Table 1.

12. Table 2: are all these comparisons for lift 1 and lift 95? If so, would it be better to compare the first five verse last five lifts to get a better representation of the initial and later lifts of the 100 lift series? Further, your first subcategory of “Kinematic’ is perhaps not completely accurate as your second subcategory of “Velocity” is also a kinematic variable. Therefore, should your first category be something like “Linear and Angular Displacement”?

All kinematic and kinetic data were analysed with multi-level linear mixed models, bias-corrected bootstrapped with both the unadjusted and adjusted estimates reported. With this method, Lift 1 and Lift 95 are group-level estimates based on all of the available data (derived from a group-level intercept and slope), using a model with random intercept and slope (that therefore accommodated individual variation). So, use of the first 5 and last 5 lifts, would likely provide a less precise estimate. The reason for using lift 95, and not lift 100, as that the mean number of analysed lifts was 95 due to some data collection issues (such as marker coming loose, miscounting of lift number etc). We have amended Table 2 and Appendix 5 with the wording Spatial and Temporal kinematics to align with the wording previously in Table 3 and Appendix 6 in line with your suggestion.

13. Line 376: this should read “increased over time”.

Authors’ response:

Thank you for highlighting this, it has now been corrected.

14. Line 394 – 398: would the results of your analysis differ if you excluded these individuals who didn’t experience the pain ramp? I therefore suggest it might be useful to look further into this inter-individual response in pain ramp.

Authors’ response:

Thanks for the suggestion. A sensitivity analysis has now been performed by removing the 3 participants whose pain either decreased during the lifts or was unchanged, and repeating these analyses. Typically, the beta coefficients changed by +/- 0.001 or 0.002, and the only previously significant association was no longer statistically significant (Appendix 7). Therefore, this sensitivity analysis reinforced the observation of no conclusive evidence that any single mechanical factor explained pain responses to repeated lifting.

The following has now been added to the discussion:

“Only 1 out of 21 variables that were different when comparing lifting mechanics between groups was associated with pain ramp in the LBP group, suggesting there was little evidence that any single mechanical factor explained pain responses to repeated lifting. Pelvic tilt at box lift off was the only variable associated with pain ramp in the LBP group. This one finding may be spurious, as no other mechanical variable showed a relation with pain ramp and the two groups became more homogeneous over the duration of the lifting task. Further, a post-hoc sensitivity analysis (Appendix 7) was conducted with removal of the three participants who did not experience an increase in pain with repeated lifts. The beta coefficients changed by +/- 0.001 or 0.002, and the only previously significant association (pelvic tilt at box lift off during the lifting phase) was no longer statistically significant. Therefore, based on our results, this sensitivity analysis reinforced the observation that there is no conclusive evidence that single biomechanical factors explain pain responses to repeated lifting.”

15. Line 465: this should read “is tired or fatigued”.

Authors’ response:

Thank you for highlighting, this has now been corrected.

Reviewer 2

16. Line 186: brackets are not necessary for the word “appendix”.

Authors’ response:

Thank you for highlighting, this has now been corrected.

17. Line 191: two dots after the word “peak”

Authors’ response:

Thank you for highlighting, this has now been corrected.

18. Line 257: I recommend not to use p-values for baseline characteristics in table 1, as recommended by David Moher et al., in their Guideline for Reporting Health Research. Baseline characteristics is a descriptive analysis not inferential analysis.

We recognise that reporting guidelines, such as the CONSORT and STROBE Statements discourage reporting statistical tests of baseline differences between groups in randomised controlled trials. We had thought it was useful in cross-sectional case/control studies, to illustrate whether the selection had been successful. We have now added group differences and their 95%CI instead of P values to Table 1.

19. Table 1: it is not clear what is depicted in brackets, is it range? If so, the value is mean or median? With such a small sample I recommend reporting median (range).

Authors’ response:

Thank you for highlighting this. Between-group comparisons of demographic, pain and fatigue variables were analysed with bias-corrected bootstrapped (100 samples with replacement) linear regression. Therefore, data are mean and (95%CI) unless otherwise stated. This has been added to the footnotes of Table 1.

20. Table 2: the degree º symbol is missing in some data.

Authors’ response:

Thank you for highlighting, this has now been corrected.

21. Line 375: I think an apostrophe is missing after “groups”

Authors’ response:

Thank you for highlighting, this has now been corrected.

22. Lines 376: “increase” should be in past perfect tense: increased

Authors’ response:

Thank you for highlighting, this has now been corrected.

23. Lines 393 to 401: the finding that some participants didn’t worsen, or one even improved, pain with repeated flexion might be explained by the directional preference concept where in patients with discogenic lumbar pain there is a directional movement (flexion, extension or lateral flexion) that improves their symptoms (Surkitt LD, et al. Phys Ther. 2012).

Authors’ response:

Yes we agree that there may be a directional preference component to this person who improved. There is also a myriad of other potential reasons, including that the participant experiences a latent onset of pain (i.e. they benefit from repeated movement at the time, but after ceasing the task experience an increase in pain in the subsequent hours/days). As we did not assess the source of pain (disc or other) nor tested pain responses in the hours/days following the task, we would rather not speculate on why some people increased in pain and others did not. We do think this is an interesting area of future research to be investigated with a different study design. We do acknowledge that our findings are in-line with previous research suggesting people with LBP experience different pain responses to repeated movement and therefore we have added the reference you have suggested as well as made a change to the discussion:

“While we specifically recruited people with a history of lifting-related LBP, not all participants demonstrated pain ramp during our lifting tasks, suggestive of variability in responses to lifting and the episodic nature of LBP in a cohort with a known history of lifting related-LBP. These findings are consistent with previous reports of variable pain responses to repeated movement [24, 67]. Previous studies investigating pain ramp during repeated bending or repeated lifting have not measured lumbar kinematics or kinetics [24, 25].

24. Line 465: “fatigue” should be in past perfect tense: fatigued.

Authors’ response:

Thank you for highlighting, this has now been corrected.

References

1. Nolan D, O'Sullivan K, Newton C, Singh G, Smith BE. Are there differences in lifting technique between those with and without low back pain? A systematic review. Scand J Pain. 2020;20(2):215-27.

2. Saraceni N, Kent P, Ng L, Campbell A, Straker L, O'Sullivan P. To Flex or Not to Flex? Is There a Relationship Between Lumbar Spine Flexion During Lifting and Low Back Pain? A Systematic Review With Meta-analysis. The Journal of orthopaedic and sports physical therapy. 2020;50(3):121-30.

3. Jakobsen MD, Sundstrup E, Brandt M, Persson R, Andersen LL. Estimation of physical workload of the low-back based on exposure variation analysis during a full working day among male blue-collar workers. Cross-sectional workplace study. Applied ergonomics. 2018;70:127-33.

4. Hoogendoorn WE, Bongers PM, de Vet HC, Douwes M, Koes BW, Miedema MC, et al. Flexion and rotation of the trunk and lifting at work are risk factors for low back pain: results of a prospective cohort study. Spine. 2000;25(23):3087-92.

5. Steffens D, Ferreira ML, Latimer J, Ferreira PH, Koes BW, Blyth F, et al. What triggers an episode of acute low back pain? A case-crossover study. Arthritis care & research. 2015;67(3):403-10.

6. Coenen P, Kingma I, Boot C, Twisk J, Bongers P, Dieën J. Cumulative Low Back Load at Work as a Risk Factor of Low Back Pain: A Prospective Cohort Study. Journal of occupational rehabilitation. 2013;23(1):11-8.

7. Sparto PJ, Parnianpour M. Estimation of trunk muscle forces and spinal loads during fatiguing repetitive trunk exertions. Spine. 1998;23(23):2563-73.

8. Matsunaga M. Familywise Error in Multiple Comparisons: Disentangling a Knot through a Critique of O'Keefe's Arguments against Alpha Adjustment. Communication Methods and Measures. 2007;1:243-65.

9. Rubin M. Do p Values Lose Their Meaning in Exploratory Analyses? It Depends How You Define the Familywise Error Rate. Review of General Psychology. 2017;21:269-75.

Attachment

Submitted filename: PLOS ONE response to reviewers final.docx

Decision Letter 1

Daniel Boullosa

23 Jun 2021

Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP.

PONE-D-21-06065R1

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Acceptance letter

Daniel Boullosa

25 Jun 2021

PONE-D-21-06065R1

Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP.

Dear Dr. Saraceni:

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Marker locations.

    (DOCX)

    S2 Table. Description of angular kinematics.

    (DOCX)

    S3 Table. Kinematic and kinetic between group comparisons during lowering phase.

    (DOCX)

    S4 Table. Associations between pain ramp during the lowering phase and each kinematic or kinetic variable that was different between groups—associations for the LBP group only.

    (DOCX)

    S5 Table. In those workers with a history of low back pain (LBP group), associations between pain ramp during the lifting and lowering phases and each kinematic or kinetic variable that was different between groups.

    For this sensitivity analysis, those participants (6, 11 and 18) who did not experience pain increase with lifting were removed.

    (DOCX)

    S1 File. Lift testing procedures.

    (DOCX)

    S2 File. Biomechanical modelling.

    (DOCX)

    Attachment

    Submitted filename: PLOS ONE response to reviewers final.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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