Open Access

Study on the Influence of Elastic Compression Pants Elasticity and Movement Speed on Human Joint Protection

Ningfeng Zhang
Ningfeng Zhang
 and 
Chengxia Liu
Chengxia Liu
   | Dec 30, 2022
Fibres & Textiles in Eastern Europe's Cover Image
About this article
Previous Article
Next Article
Cite
Article Category: Research Article
Published Online: Dec 30, 2022
Page range: 80 - 90
DOI: https://doi.org/10.2478/ftee-2022-0055
Keywords
© 2022 Ningfeng Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fig. 1

Dynamic capture instrument
Dynamic capture instrument

Fig. 2

Running cycle
Running cycle

Fig. 3

Distribution of lower limb marker points
Distribution of lower limb marker points

Fig. 4

Diagram of left side of lower limb during running
Diagram of left side of lower limb during running

Fig. 5

AKJ of different subjects with elastic pants at different speeds
AKJ of different subjects with elastic pants at different speeds

Fig. 6

AKJ of different subjects with non-elastic pants at different speeds.
AKJ of different subjects with non-elastic pants at different speeds.

Fig. 7

AKJ under different fabric elasticity
AKJ under different fabric elasticity

Fig. 8

AKJ under different speeds
AKJ under different speeds

Fig. 9

Min and max AKJ of different pants at different movement speedsNote: * shows significant difference (p < 0.05), the value of CP is significantly different from that of CS
Min and max AKJ of different pants at different movement speedsNote: * shows significant difference (p < 0.05), the value of CP is significantly different from that of CS

Influence significance of individual differences on the gait cycle

Movement Speed Influence significance Elastic pants Non-elastic pants
5km/h H(K) 11.231 4.231
Value P 0.005* 0.141
8km/h H(K) 14.665 14.416
Value P 0.000* 0.000*
11km/h H(K) 2.897 13.786
Value P 0.403 0.000*

Body shape parameters of subjects (n=3)

Subjects HT/(cm) WT/(kg) WC/(cm) HC/(cm) TC/(cm) KC/e(cm) AC/(cm) BMI
S1 163.1 47.8 64.0 88.0 53.0 35.4 24.3 17.99
S2 164.0 49.2 68.0 89.0 56.0 36.0 25.1 18.29
S3 162.6 47.5 64.5 87.6 53.5 35.0 24.5 17.96
Mean 163.0 48.2 65.5 88.2 54.2 35.5 24.6 18.08
SD (0.6) (0.8) (4.75) (0.5) (1.7) (0.3) (0.2) (0.35)

Rigid body and corresponding names of the marker point

Corresponding part Marker point name
Hip joint HP (hip point)
Knee joint (lateral and interior) KP (knee point), KL (knee lateral), KI (knee interior),
Ankle (lateral and interior) AL (ankle lateral), AI (ankle interior),

Influence significance of individual differences on AKJ

Movement speed Influence significance Elastic pants Non-elastic pants
5km/h H(K) 25.525 16.423
Value P 0.000* 0.007*
8km/h H(K) 12.798 20.121
Value P 0.020* 0.000*
11km/h H(K) 0.163 26.085.
Value P 0.949 0.000*

Experimental compression pants

CP1 CP2 CP3 CS
Fabric 85% nylon15% spandex 80% nylon20% spandex 76% nylon24% spandex 100%cotton
Knee circumference /cm 30 28 26 40
Applied percentage of fabric stretch/% Wale: 63.5Course: 76.3 Wale: 78.1Course: 81.6 Wale: 84.2Course: 86.8 Wale: 46.3Course: 50.5

Significance test of movement speed and fabric elasticity

Evaluation parameter Average gait cycle Max-AKJ Min-AKJ
Elastic pants 0.000* 0.000* 0.000*
Non-elastic pants 0.000* 0.000* 0.000*
Speed (5km/h) 0.000* 0.009* 0.000*
Speed (8km/h) 0.008* 0.000* 0.026*
Speed (11km/h) 0.000* 0.018* 0.000*
eISSN:
2300-7354
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Business and Economics, Business Management, Business Informatics, Process Management, Industrial Chemistry, Cellulose, Paper and Textiles, Polymer Science and Technology, Materials Sciences, Biomaterials and Natural Materials
Journal RSS Feed