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Strong, Andrew
Publications (4 of 4) Show all publications
Arumugam, A., Strong, A., Tengman, E., Röijezon, U. & Häger, C. (2019). Psychometric properties of knee proprioception tests targeting healthy individuals and those with anterior cruciate ligament injury managed with or without reconstruction: a systematic review protocol. BMJ Open, 9(4), Article ID e027241.
Open this publication in new window or tab >>Psychometric properties of knee proprioception tests targeting healthy individuals and those with anterior cruciate ligament injury managed with or without reconstruction: a systematic review protocol
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2019 (English)In: BMJ Open, ISSN 2044-6055, E-ISSN 2044-6055, Vol. 9, no 4, article id e027241Article, review/survey (Refereed) Published
Abstract [en]

Introduction: An anterior cruciate ligament (ACL) injury affects knee proprioception and sensorimotor control and might contribute to an increased risk of a second ACL injury and secondary knee osteoarthritis. Therefore, there is a growing need for valid, reliable and responsive knee proprioception tests. No previous study has comprehensively reviewed all the relevant psychometric properties (PMPs) of these tests together. The aim of this review protocol is to narrate the steps involved in synthesising the evidence for the PMPs of specific knee proprioception tests among individuals with an ACL injury and knee-healthy controls.

Methods and analysis: The Preferred Reporting Items for Systematic reviews and Meta-Analyses will be followed to report the review. A combination of four conceptual groups of terms-(1) construct (knee proprioception), (2) target population (healthy individuals and those with an ACL injury managed conservatively or with a surgical reconstruction), (3) measurement instrument (specific knee proprioception tests) and (4) PMPs (reliability, validity and responsiveness)-will be used for electronic databases search. PubMed, AMED, CINAHL, SPORTDiscus, Web of Science, Scopus, the Cochrane Central Register of Controlled Trials and ProQuest will be searched from their inception to November 2018. Two reviewers will independently screen titles, abstracts and full text articles, extract data and perform risk of bias assessment using the updated COnsensus-based Standards for the selection of health Measurement INstruments risk of bias checklist for the eligible studies. A narrative synthesis of the findings and a meta-analysis will be attempted as appropriate. Each PMP of knee proprioception tests will be classified as 'sufficient', 'indeterminate' or 'insufficient'. The overall level of evidence will be ascertained using an established set of criteria.

Ethics and dissemination: Ethical approval or patient consent is not required for a systematic review. The review findings will be submitted as a series of manuscripts for peer-review and publication in scientific journals.

Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2019
National Category
urn:nbn:se:umu:diva-161462 (URN)10.1136/bmjopen-2018-027241 (DOI)000471157200233 ()30948613 (PubMedID)
Swedish Research Council, K2014-99X-21876-04-4Västerbotten County Council, VLL548501
Available from: 2019-07-09 Created: 2019-07-09 Last updated: 2019-07-09Bibliographically approved
Hébert-Losier, K., Schelin, L., Tengman, E., Strong, A. & Häger, C. (2018). Curve analyses reveal altered knee, hip, and trunk kinematics during drop-jumps long after anterior cruciate ligament rupture. Knee (Oxford), 25(2), 226-239
Open this publication in new window or tab >>Curve analyses reveal altered knee, hip, and trunk kinematics during drop-jumps long after anterior cruciate ligament rupture
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2018 (English)In: Knee (Oxford), ISSN 0968-0160, E-ISSN 1873-5800, Vol. 25, no 2, p. 226-239Article in journal (Refereed) Published
Abstract [en]

Background: Anterior cruciate ligament (ACL) ruptures may lead to knee dysfunctions later in life. Single-leg tasks are often evaluated, but bilateral movements may also be compromised. Our aim was to use curve analyses to examine double-leg drop–jump kinematics in ACL-reconstructed, ACL-deficient, and healthy-knee cohorts.

Methods: Subjects with unilateral ACL ruptures treated more than two decades ago (17–28 years) conservatively with physiotherapy (ACLPT, n = 26) or in combination with reconstructive surgery (ACLR, n = 28) and healthy-knee controls (n = 25) performed 40-cm drop–jumps. Three-dimensional knee, hip, and trunk kinematics were analyzed during Rebound, Flight, and Landing phases. Curves were time-normalized and compared between groups (injured and non-injured legs of ACLPT and ACLR vs. non-dominant and dominant legs of controls) and within groups (between legs) using functional analysis of variance methods.

Results: Compared to controls, ACL groups exhibited less knee and hip flexion on both legs during Rebound and greater knee external rotation on their injured leg at the start of Rebound and Landing. ACLR also showed less trunk flexion during Rebound. Between-leg differences were observed in ACLR only, with the injured leg more internally rotated at the hip. Overall, kinematic curves were similar between ACLR and ACLPT. However, compared to controls, deviations spanned a greater proportion of the drop–jump movement at the hip in ACLR and at the knee in ACLPT.

Conclusions: Trunk and bilateral leg kinematics during double-leg drop–jumps are still compromised long after ACL-rupture care, independent of treatment. Curve analyses indicate the presence of distinct compensatory mechanisms in ACLPT and ACLR compared to controls.

Place, publisher, year, edition, pages
Elsevier, 2018
ACL, Biomechanics, Functional data analysis, Interval testing procedure, Lower extremity, Rehabilitation
National Category
urn:nbn:se:umu:diva-145719 (URN)10.1016/j.knee.2017.12.005 (DOI)000430519800004 ()29525548 (PubMedID)2-s2.0-85042919592 (Scopus ID)
Available from: 2018-03-15 Created: 2018-03-15 Last updated: 2018-09-19Bibliographically approved
Johansson, A.-M., Grip, H., Strong, A., Selling, J., Rönnqvist, L., Boraxbekk, C.-J. & Häger, C. (2016). Finger movement control and associated brain activity responses post-stroke. In: XXI ISEK Congress: . Paper presented at The International Society of Electrophysiology and Kinesiology.
Open this publication in new window or tab >>Finger movement control and associated brain activity responses post-stroke
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2016 (English)In: XXI ISEK Congress, 2016Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

BACKGROUND AND AIM: Impaired finger dexterity is common after stroke, often affecting activities of daily living. Knowledge of kinematic characteristics and of underlying neurological mechanisms of such impairments is important to understand functional recovery. This study aims to investigate finger movement control and related brain activity patterns post-stroke (PS). METHODS: Data from a subsample including 9 participants PS with residual hemiparesis affecting manual dexterity (M age- 66; 3 female) and 12 able-bodied control (C) participants (M age- 65; 3 female) were analyzed. Two series of self-paced cyclic finger extension-flexion movements in random order were performed for each hand (4 series with vision, V, and 4 without vision, NV). Optoelectronic cameras monitored the 3D movement of markers affixed to the fingertips. Motion data was used to calculate each finger's individuation index (II), reflecting movement independence, each finger's Stationarity index (SI), reflecting the ability to keep the finger still while another moves [1] and Movement frequency (MF). Functional magnetic resonance imaging, with simultaneous movement recording, was used to investigate brain activity patterns in relation to the kinematic parameters. II, SI, MF and the effect of vision were analyzed for the 4th digit. RESULTS: A factorial ANOVA 2 [group] x 2 [condition] x 2 [side] x [index type] showed an effect for group (p < .0001; PS < C); condition (p < .01; NV < V); side (p < .0001; affected/non-preferred < non-affected/preferred); and index type (p < .0001; SI < II). An interaction between group and side (p < .01) showed that indices of the affected side were lower compared to the non-affected side within the PS group and compared to both sides in the C group. No significant effects were apparent for MF but significant correlations were found between the indices and MF that were restricted to the PS group alone (over all conditions- r = -0.22; p < .01; within the NV condition- r = -0.19; p < .01; within the affected side r = -0.15; p < .05; and within the SI categorization r = -0.14; p < .05). Furthermore, within NV for the non-affected hand on the SI alone (r = -0.54; p < .05). All indicate that slower movements had higher indices. DISCUSSION: The associations between slower MF and higher index values within the PS group were located to conditions with increased difficulty (NV, affected side, and SI). Thus, reducing speed may be a selected strategy to increase control of finger movements PS when the demand on motor control is high. Further, with the applied calculation of finger movement independence we were able detect group differences, side differences within the PS group, and a positive effect of vision of the hands during performance. This indicates that this calculation is a sensitive measure that could be used to study the effects of stroke and to monitor progression in motor recovery. [1] Häger-Ross & Schieber, 2000, J Neurosci 20:8542-50

National Category
urn:nbn:se:umu:diva-128988 (URN)
The International Society of Electrophysiology and Kinesiology
Available from: 2016-12-20 Created: 2016-12-20 Last updated: 2018-06-09
Johansson, A.-M., Grip, H., Strong, A., Selling, J., Rönnqvist, L., Boraxbekk, C.-J. & Häger, C. (2015). Three dimensional kinematic analyses of movement control of individual fingers post-stroke. Paper presented at 24th Annual Meeting of ESMAC 2015 Abstracts. Gait & Posture, 42(Supplement 1), S33-S33
Open this publication in new window or tab >>Three dimensional kinematic analyses of movement control of individual fingers post-stroke
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2015 (English)In: Gait & Posture, ISSN 0966-6362, E-ISSN 1879-2219, Vol. 42, no Supplement 1, p. S33-S33Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

Research question: Objectives of the present study are: (1) to quantify finger movements in a 3D context and (2) by this method investigate the ability to perform individualized finger movements, with and without vision of the hands, in persons with a chronic stroke diagnosis compared to able-bodied controls.

Introduction: Increased knowledge of how fine movement control is affected by stroke is important for the understanding of recovery of function. This is crucial for the development of reliable and valid assessment methods for evaluation of rehabilitation of the upper limbs. This study is part of the MOST project (MOST-MOvement control in STroke) where both clinical tests and 3D movement assessments are performed.

Materials and methods: At present, 18 persons post-stroke (M age = 67 years; 6 women) and 26 able-bodied controls (M age = 62 years, 11 women) have participated. The ability to perform uni-manual individualized finger movements and the effect of vison of the hands were evaluated. Participants were instructed to move a specific finger in cyclic extension–flexion movements at the metacarpophalangeal joint, keeping the rest of the finger straight and the other fingers still, at a self-paced speed during 10 s (2 test series for each hand; 8 test series in total). The task was performed seated. The wrists were extended about 10° and fixated to a wooden frame with forearm support. Reflective markers were affixed to each fingertip and movements were recorded by optoelectronic cameras. Based on the positional change of the fingers during task performance, two indices ranging from 0-1 were calculated: (1) Individuation index (II) where the independence of each finger movement is shown and where 1 indicate complete independence, (2) stationary index (SI) where 1 indicate that the finger remains still when the other fingers move [1].

Results: Our results show that it is possible to quantify individual finger movements by use of 3D movement analysis addressing the quality of movement performance in stroke survivors: all but 3 persons post-stroke were able to perform the task. Preliminary analyses (based on a subsample constituted of 8 post-stroke and 8 controls) verify that the test discriminated between groups where participants post-stroke had lower values on II and SI as compared to the control persons, the lowest values were observed for the middle and ring fingers. Ongoing analyses will show if vision influences the outcomes.

Discussion: A set-up has been tested where individual finger movements can be quantified in 3D, and that discriminates between persons post stroke compared to controls. This advancement carries a promise for development of better assessment methods for recovery of function post-stroke.


[1] C. Häger-Ross, M.H. Schieber Quantifying the independence of human finger movements: comparisons of digits, hands and movement frequencies.J Neurosci, 20 (2000), pp. 8542–8550



National Category
Research subject
Rehabilitation Medicine; Physiotherapy
urn:nbn:se:umu:diva-108831 (URN)10.1016/j.gaitpost.2015.06.066 (DOI)
24th Annual Meeting of ESMAC 2015 Abstracts
Available from: 2015-09-15 Created: 2015-09-15 Last updated: 2018-06-07Bibliographically approved

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