Background

Trunk muscle activity and thoraco-lumbar kinematics have been shown to discriminate non-specific chronic low back pain (NSCLBP) subgroups from healthy controls. Thoracic spine kinematics and muscle activity whilst intuitively associated with NSCLBP, has received less attention and the possibility of intra-regional interactions remains an area for exploration.

Purpose & Background

Back and lower limb injuries are prevalent in athletes who perform novel weight-lifting techniques with inappropriate kinematics. Visual-auditory instructions and knowledge of performance (KP) verbal instructions are utilised to help novices execute novel skills. Effectiveness of these methods on executing appropriate front-squat lifting kinematics is limited.

Aim: to investigate the effects of visual-auditory instructions compared to KP verbal instructions on front-squat kinematics at sticking point in novice lifters, with improvement determined by proximity to the kinematics of an expert lifter at sticking point when performing optimal front-squat lift.

Background and Purpose of Study:

Differences in regional lumbar angles in sitting have been observed between subgroups of NSCLBP patients exhibiting motor control impairments (MCI) (O'Sullivan, 2005; Dankaerts et al, 2006). However, differences in standing posture and other spinal regions are unknown. This study aimed to compare regional spinal angles in healthy and MCI subgroups in sitting and standing.

Background

There is limited research investigating the effects of the Saddle Chair on spinal angles and it has not been determined if there is a difference between a self –selected comfortable posture (SSCP) and a standardised ergonomic posture (SEP).

Background

Office seating includes a variety of chair styles. There is limited research investigating their effects on spinal angles.

Evidence suggests that anterior cruciate ligament (ACL) injured individuals do not use the same movement strategies as healthy individuals. It is unknown how this may affect them in more challenging activities of daily living and sport. The aim of this study is to evaluate how ACL injured patients perform a single leg squat (SLS) compared to healthy controls. SLS was evaluated as it is more challenging than gait and therefore more relevant to clinical decision making about progressing to sporting maneuvers.

To date, 6 ACL deficient (ACLD) (5 males, 1 female; mass=88±22 kg; height=1.78±0.11 m; age=35±11 years), 5 ACL reconstructed (ACLR) (5 males; mass= 83±12 kg; height=1.74±0.07 m; age=29±10 years) and 5 controls (3 males, 2 females; mass= 72±13 kg; height=1.70±0.09 m; age=30±3 years) performed a SLS on the injured leg for the ACL injured participants and the dominant leg for the control group. Motion analysis was performed using a Vicon Nexus system and a Kistler force platform. Knee extension moments and angles were calculated using Vicon Nexus software.

The ACLD group had reduced peak flexion angles compared to ACLR and control groups (65±5, 77±7 and 82±9 degrees respectively). Peak extension moments were similar across all groups (ACLD= 0.94±0.26 Nm/kg, ACLR=1.06±0.37 Nm/kg, control=1.04±0.36 Nm/kg). Peak knee moments occurred just after peak flexion and therefore at a smaller flexion angle for the ACLD group compared to the ACLR and control group (59±13, 75±7 and 80±6 degrees). Extension moments were similar when evaluated at a consistent angle of 50 degrees (ACLD=0.70±0.30Nm/kg, ACLR=0.63±0.34Nm/kg control=0.61±0.32Nm/kg).

In this sample, the controls squatted deepest followed by the ACLR group, with the ACLD group squatting least deep. This did not translate to an identical pattern for the knee extensor moments. Performance of ACL injured individuals needs to be evaluated on more challenging tasks to fully assess recovery. Further research, with more subjects, will clarify if ACLD individuals are using a strategy to protect their knee or if others factors are preventing them from squatting deeper. This would suggest that these individuals may not have fully recovered and will not be able to perform more challenging activities

ACL injured patients show variability in the ability to perform functional activities (Button et al., 2006). It is unknown whether this is due to differences in physical capability or whether fear of re-injury plays a role. Fear of re-injury is not commonly addressed in rehabilitation. This study aimed to investigate whether fear of re-injury impacts rehabilitation of ACL injured patients.

An initial group of five ACL reconstructed participants (ACLR, age: 30±11 years, weight: 815±115 N, height: 1.74±0.07 m, all male), five ACL deficient participants (ACLD, age: 31±12 years, weight: 833±227 N, height: 1.80±0.11 m, four male and one female), and five healthy controls (age: 30±3 years, weight: 704±126 N, height: 1.70±0.09 m, three male and two female) were compared. Fear of re-injury was assessed using the Tampa Scale for Kinesiophobia (Kvist, 2004). Quadriceps strength was measured on a Biodex dynamometer. Functional activity was assessed by a single legged maximum distance hop (on the injured leg for ACL patients). Motion analysis was performed with a VICON system, and a Kistler force plate. Hop distance was calculated using the ankle position. The peak knee extension moment during landing, and the knee angle at this peak moment were calculated in VICON Nexus.

The ACLD group scored worse on the Tampa scale for Kinesiophobia than the ACLR group (32±4 and 26±4). The ACLD patients did not hop as far as the ACLR and control groups (1.0±0.3, 1.3±0.1 and 1.4±0.3 m). The peak knee extension moments during landing were lowest in the ACLD group (263±159 Nm), slightly higher in the control group (354±122 Nm) and highest in the ACLR group (490±222 Nm), while knee flexion angles at these moments were similar (ACLD: 28±11, ACLR: 33±7 and control: 36±13 degrees). The ACLD group had weaker quadriceps than the control group, while the ACLR group was stronger (143±44 Nm, 152±42, and 167±50 Nm respectively).

Fear of re-injury and decreased quadriceps strength potentially both impact on the functional performance of ACL injured patients. Rehabilitation of ACL injured patients could therefore be improved by addressing strength and fear of re-injury. Future research with more participants will further clarify this.

Following acute ACL rupture patients are routinely referred for rehabilitation but the timing and level of functional recovery related to rehabilitation outcome are poorly defined.

The primary aim of this study was to measure functional recovery following acute ACL rupture in the clinical setting using a two dimensional movement analysis system. A longitudinal research design was used; we aimed for three clinical movement analysis sessions over the course of rehabilitation. One hundred and fifteen patients were recruited. Sixty three uninjured matched controls were recorded once performing all the functional activities; walking, jogging, distance hop and run and stop. Participants were filmed in the sagittal plane using a digital camcorder to extract kinematic data. Average recovery over time was modelled using a least squares third order polynomial.

The secondary aim was to define the outcome measures and treatment goals used in ACL rehabilitation by specialist knee physiotherapists. A questionnaire was distributed to 300 hospitals across the UK. From the 44 responses insight was obtained about parameters physiotherapists use to plan treatment and evaluate recovery.

Repeated movement analysis showed that gait velocity took on average 85 days to recover to within the normal limits of uninjured controls. Jogging velocity took 30 days; Hop distance took 55 days for the non-injured leg and 100 days for the injured leg; Knee range during the landing phase of run and stop took 80 days to recover but demonstrated some deterioration. The questionnaire identified that specialist knee physiotherapists use 60 different outcome measures and 34 rehabilitation treatment goals, which can be sub-divided into patient reported (PR), functional activities (A) and impairments (I). The percentage usage by physiotherapists for each category of outcome measure were 55.8% (A), 62.8% (I) to 67.4% (PR) and for treatment goals 55.8% (PR), 69.8% (A) to 81.4% (I). Hopping is the most frequently evaluated functional activity but there are large differences in its utilisation. The application of functional goals and outcome measures in rehabilitation is not universal with specialist physiotherapists generally adopting an impairment approach.

Repeated movement analysis in the clinical setting provided objective data on the recovery of functional activities that progressively challenge knee stability. Gait and hop distance appear to be the most useful variables for tracking performance over time but their predictive value needs to be explored further. Adaptations in the non-injured leg indicate that its use as a control needs to be done with caution. For jogging and run and stop there appears to be a threshold after which patients can perform these activities rather than a gradual recovery. Clinical movement analysis could be used to provide objective feedback on recovery levels and help guide the rehabilitation process. However, currently functional goals and milestones are not always included in the planning and evaluation of rehabilitation. Developing better rehabilitation should involve greater integration of functional activity measures into practice. This would require a shift from an impairment rehabilitation approach to focus on functional goals.

Background: Postural re-training is one element used in the physiotherapeutic management of spinal disorders. Clinicians need outcome measures that are accurate, reliable and easy to use to monitor effects of treatment and to provide justification for the management of these conditions. This study aimed to assess the reliability of digital video analysis of thoracic, neck and head tilt angles using one measurer within one day.

Methods: Twenty healthy subjects were recruited. L4, C7 spinous processes and tragus were marked on the skin and identified with reflective markers. The subject sat in a relaxed comfortable position in a chair and was video recorded from a lateral view for one minute. The markers were removed and the subject rested, in a chair, for a few minutes. Two further recordings were taken in the same day. Still images were taken at 30seconds of the recording and were analysed using a bespoke programme within MATLAB software. Analysis included Intraclass Correlation Coefficients (ICCs) and Bland Altman plots.

Results: Excellent reliability was ascertained for thoracic, neck and head tilt angles identified by ICC of 0.94 (mean difference 0.34° ±4.7°), 0.91 (mean difference 1.1°±3.7°) 0.84 (mean difference 0.9°±4.9) respectively. All points, except one for neck angle and head tilt angle and two for thoracic angles, were within 95% limits of agreement.

Conclusion: Digital video analysis using MATLAB is a reliable way to measure thoracic, neck and head tilt angles. This is an inexpensive method for measuring posture that could be used in the management of people with spinal disorders.

Conflict of Interest: None

Source of Funding: This study has been financially supported by the Physiotherapy Research Foundation, UK and Research Collaboration Building Capacity Wales (rcbc Wales).