A new quantitative kinesiophobia assessment

Sofia Scataglini; Tahar Ghenimi; Eddy Roosens; Veerle Stevens; Damien Van Tiggelen

doi:10.1007/978-3-030-20216-3_51

A new quantitative kinesiophobia assessment

Sofia Scataglini, Tahar Ghenimi, Eddy Roosens, Veerle Stevens, Damien Van Tiggelen

Hyperspectral Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we present a new quantitative kinesiophobia assessment that consists of a combination of Tampa Scale for Kinesiophobia (TSK-DV) questionnaire with posturographic measures calculated by a pressure plate and a wearable mocap system in standing before and after 10 bending forward in open and closed eyes. Sixteen subjects aged between 18 and 65 years old were considered in the clinical pathway for chronic low back pain. A cut-off of TSK-DV > 37 was used to discriminate low back pain subjects with kinesiophobia (TSK-DV > 37) to subjects with low back pain. Our findings, are in line with the previous studies showing that low back pain and not specific low back pain provoking an increase in postural sway amplitude and velocity. From our study emerged that minimal mean velocity in medio-lateral excursion of the pelvis during imposed forward bending and a higher COP excursion in y (anterior-posterior) during standing followed by a higher COP sway path (≥230Â mm) with a sway velocity (≥0.0030Â m/s) in closed eyes can be considered as a sign of the presence of kinesiophobia.

Original language	English
Title of host publication	Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping
Editors	Massimo Di Nicolantonio, Thomas Alexander, Emilio Rossi
Publisher	Springer
Pages	549-560
Number of pages	12
ISBN (Print)	9783030202156
DOIs	https://doi.org/10.1007/978-3-030-20216-3_51
Publication status	Published - 2020
Event	AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2019 - Washington D.C., United States Duration: 24 Jul 2019 → 28 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	975
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2019
Country/Territory	United States
City	Washington D.C.
Period	24/07/19 → 28/07/19

Keywords

Human factors
Kinesiophobia
Low back pain
Tampa Scale (TSK)
Wearable mocap system

Access to Document

10.1007/978-3-030-20216-3_51

Cite this

Scataglini, S., Ghenimi, T., Roosens, E., Stevens, V., & Van Tiggelen, D. (2020). A new quantitative kinesiophobia assessment. In M. Di Nicolantonio, T. Alexander, & E. Rossi (Eds.), Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping (pp. 549-560). (Advances in Intelligent Systems and Computing; Vol. 975). Springer. https://doi.org/10.1007/978-3-030-20216-3_51

Scataglini, Sofia ; Ghenimi, Tahar ; Roosens, Eddy et al. / A new quantitative kinesiophobia assessment. Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping. editor / Massimo Di Nicolantonio ; Thomas Alexander ; Emilio Rossi. Springer, 2020. pp. 549-560 (Advances in Intelligent Systems and Computing).

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abstract = "In this paper we present a new quantitative kinesiophobia assessment that consists of a combination of Tampa Scale for Kinesiophobia (TSK-DV) questionnaire with posturographic measures calculated by a pressure plate and a wearable mocap system in standing before and after 10 bending forward in open and closed eyes. Sixteen subjects aged between 18 and 65 years old were considered in the clinical pathway for chronic low back pain. A cut-off of TSK-DV > 37 was used to discriminate low back pain subjects with kinesiophobia (TSK-DV > 37) to subjects with low back pain. Our findings, are in line with the previous studies showing that low back pain and not specific low back pain provoking an increase in postural sway amplitude and velocity. From our study emerged that minimal mean velocity in medio-lateral excursion of the pelvis during imposed forward bending and a higher COP excursion in y (anterior-posterior) during standing followed by a higher COP sway path (≥230{\^A} mm) with a sway velocity (≥0.0030{\^A} m/s) in closed eyes can be considered as a sign of the presence of kinesiophobia.",

keywords = "Human factors, Kinesiophobia, Low back pain, Tampa Scale (TSK), Wearable mocap system",

author = "Sofia Scataglini and Tahar Ghenimi and Eddy Roosens and Veerle Stevens and {Van Tiggelen}, Damien",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2019 ; Conference date: 24-07-2019 Through 28-07-2019",

year = "2020",

doi = "10.1007/978-3-030-20216-3_51",

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Scataglini, S, Ghenimi, T, Roosens, E, Stevens, V & Van Tiggelen, D 2020, A new quantitative kinesiophobia assessment. in M Di Nicolantonio, T Alexander & E Rossi (eds), Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping. Advances in Intelligent Systems and Computing, vol. 975, Springer, pp. 549-560, AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2019, Washington D.C., United States, 24/07/19. https://doi.org/10.1007/978-3-030-20216-3_51

A new quantitative kinesiophobia assessment. / Scataglini, Sofia; Ghenimi, Tahar; Roosens, Eddy et al.
Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping. ed. / Massimo Di Nicolantonio; Thomas Alexander; Emilio Rossi. Springer, 2020. p. 549-560 (Advances in Intelligent Systems and Computing; Vol. 975).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Scataglini, Sofia

AU - Ghenimi, Tahar

AU - Roosens, Eddy

AU - Stevens, Veerle

AU - Van Tiggelen, Damien

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

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N2 - In this paper we present a new quantitative kinesiophobia assessment that consists of a combination of Tampa Scale for Kinesiophobia (TSK-DV) questionnaire with posturographic measures calculated by a pressure plate and a wearable mocap system in standing before and after 10 bending forward in open and closed eyes. Sixteen subjects aged between 18 and 65 years old were considered in the clinical pathway for chronic low back pain. A cut-off of TSK-DV > 37 was used to discriminate low back pain subjects with kinesiophobia (TSK-DV > 37) to subjects with low back pain. Our findings, are in line with the previous studies showing that low back pain and not specific low back pain provoking an increase in postural sway amplitude and velocity. From our study emerged that minimal mean velocity in medio-lateral excursion of the pelvis during imposed forward bending and a higher COP excursion in y (anterior-posterior) during standing followed by a higher COP sway path (≥230Â mm) with a sway velocity (≥0.0030Â m/s) in closed eyes can be considered as a sign of the presence of kinesiophobia.

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Scataglini S, Ghenimi T, Roosens E, Stevens V, Van Tiggelen D. A new quantitative kinesiophobia assessment. In Di Nicolantonio M, Alexander T, Rossi E, editors, Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping. Springer. 2020. p. 549-560. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-20216-3_51

A new quantitative kinesiophobia assessment

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