Previous studies have analysed the effect of wearing high-heeled shoes (HHS) on gait analysis, balance and its relation to health. However, further research is needed to study its effect on the difference of chain reactions in the transfer of body impacts from the lower to the upper limbs.
OBJECTIVES:
The aims of the present research were: (a) to compare the effects of wearing HHS on impacts across body joints during walking with sport shoes (SS) as a reference, and (b) to examine such effects at different speeds.
METHODS:
Seven well-trained women completed this study. Incremental treadmill walking test were performed with two different footwear: SS and HHS. Inertial devices were used to quantify the chain reactions at selected anatomical lower limbs and trunk locations. Statistical analysis included the Wilcoxon test with ranges and Cohen’s effect size with percentage of differences.
RESULTS:
The highest values were found at the heel in both footwear and in both legs (SS: right 0.76 0.27, left 0.79 0.27; HHS: right 1.07 0.38, left 1.11 0.41), while the lowest values were registered at lower and upper back. Furthermore, significant differences were found with the HHS load being higher at all locations ( 0.05; % 12.20–36.36%), influenced by the walking speed. In addition, a strong influence of footwear in the change of the laterality profile was found ( 0.05).
CONCLUSIONS:
These findings suggest that the use of HHS increase the load on the lower limb and the trunk. Until reaching 5 km/h during walking, no significant differences were found between wearing HHS or SS in accelerometer load, producing exponential differences from this speed. The great between-subject variability implies that within-subject analysis is recommended, as it is more related to real clinical practice.
AnnoniIMapelliASidequerskyFVZagoMSforzaC. The effect of high-heeled shoes on overground gait kinematics in young healthy women. Sport Sci Health. 2014; 10: 149–57. doi: 10.1007/s11332-014-0191-z.
3.
HongW-HLeeY-HLinY-HTangSFTChenH-C. Effect of shoe heel height and total-contact insert on muscle loading and foot stability while walking. Foot Ankle Int. 2013; 34(2): 273–81. doi: 10.1177/1071100712465817.
YoonJ-YAnD-HYooW-GKwonY-R. Differences in activities of the lower extremity muscles with and without heel contact during stair ascent by young women wearing high-heeled shoes. J Orthop Sci. 2009; 14(4): 418–22. doi: 10.1007/s00776-009-1351-x.
7.
DaiMLiXZhouXHuYLuoQZhouS. High-heeled-related alterations in the static sagittal profile of the spino-pelvic structure in young women. Eur Spine J. 2015; 24(6): 1274–81. doi: 10.1007/s00586-015-3857-6.
8.
WiedemeijerMMOttenE. Effects of high heeled shoes on gait. A review. Gait Posture. 2018; 61: 423–30. doi: 10.1016/j.gaitpost.2018.01.036.
9.
Puszczalowska-LizisEDa̧browieckiDJandziśSŻakM. Foot deformities in women are associated with wearing high-heeled shoes. Med Sci Monit Int Med J Exp Clin Res. 2019; 25: 7746. doi: 10.12659/MSM.917983.
10.
CroninNJBarrettRSCartyCP. Long-term use of high-heeled shoes alters the neuromechanics of human walking. J Appl Physiol. 2012; 112(6): 1054–8. doi: 10.1152/japplphysiol.01402.2011.
11.
FosterABlanchetteMGChouY-CPowersCM. The influence of heel height on frontal plane ankle biomechanics: implications for lateral ankle sprains. Foot Ankle Int. 2012; 33(1): 64–9. doi: 10.3113/FAI.2012.0064.
12.
KerriganDCKarvoskyMELelasJLRileyPO. Men’s shoes and knee joint torques relevant to the development and progression of knee osteoarthritis. J Rheumatol. 2003; 30(3): 529–33.
13.
EsenyelMWalshKWaldenJGGitterA. Kinetics of high-heeled gait. J Am Podiatr Med Assoc. 2003; 93(1): 27–32. doi: 10.7547/87507315-93-1-27.
14.
CroninNJ. The effects of high heeled shoes on female gait: a review. J Electromyogr Kinesiol. 2014; 24(2): 258–63. doi: 10.1016/j.jelekin.2014.01.004.
15.
StefanyshynDJNiggBMFisherVO’FlynnBLiuW. The influence of high heeled shoes on kinematics, kinetics, and muscle EMG of normal female gait. J Appl Biomech. 2000; 16(3): 309–19. doi: 10.1123/jab.16.3.309.
16.
MikaAOleksyŁMikaPMarchewkaAClarkBC. The influence of heel height on lower extremity kinematics and leg muscle activity during gait in young and middle-aged women. Gait Posture. 2012; 35(4): 677–80. doi: 10.1016/j.gaitpost.2011.12.001.
17.
RaoSRipaRLightbourneK. Predictors of walking speed and stride length in high- and low-heeled footwear. Footwear Sci. 2013; 5(3): 179–84. doi: 10.1080/19424280.2013.808707.
18.
EbbelingCJHamillJCrussemeyerJA. Lower extremity mechanics and energy cost of walking in high-heeled shoes. J Orthop Sports Phys Ther. 1994; 19(4): 190–6. doi: 10.2519/jospt.1994.19.4.190.
19.
GefenAMegido-RavidMItzchakYArcanM. Analysis of muscular fatigue and foot stability during high-heeled gait. Gait Posture. 2002; 15(1): 56–63. doi: 10.1016/S0966-6362(01)00180-1.
20.
GavrilaDMDavisLS. 3-D model-based tracking of humans in action: a multi-view approach. In Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996; pp. 73–80. doi: 10.1109/CVPR.1996.517056.
21.
KaraulovaIAHallPMMarshallAD. Tracking people in three dimensions using a hierarchical model of dynamics. Image Vis Comput. 2002; 20: 691–700. doi: 10.1016/S0262-8856(02)00059-8.
22.
LeardiniAChiariLCroceUDCappozzoA. Human movement analysis using stereophotogrammetry. Gait Posture. 2005; 21(2): 212–25. doi: 10.1016/j.gaitpost.2004.05.002.
23.
CasadioMMorassoPGSanguinetiV. Direct measurement of ankle stiffness during quiet standing: implications for control modelling and clinical application. Gait Posture. 2005; 21(4): 410–24. doi: 10.1016/j.gaitpost.2004.05.005.
24.
KimCMEngJJ. Magnitude and pattern of 3D kinematic and kinetic gait profiles in persons with stroke: relationship to walking speed. Gait Posture. 2004; 20(2): 140–6. doi: 10.1016/j.gaitpost.2003.07.002.
25.
AkhtaruzzamanMdShafieAAKhanMdR. Gait analysis: systems, technologies, and importance. J Mech Med Biol. 2016; 16(7): 1630003. doi: 10.1142/S0219519416300039.
26.
TakedaRTadanoSTodohMMorikawaMNakayasuMYoshinariS. Gait analysis using gravitational acceleration measured by wearable sensors. J Biomech. 2009; 42(3): 223–33. doi: 10.1016/j.jbiomech.2008.10.027.
27.
Gomez-CarmonaCDBastida-CastilloAGonzález-CustodioAOlcinaGPino-OrtegaJ. Using an inertial device (WIMU PROTM) to quantify neuromuscular load in running: reliability, convergent validity and the influence of type of surface and device location. J Strength Cond Res. 2019; 34(2): 365–373. doi: 10.1519/JSC.0000000000003106.
28.
BrandRA. Standards of reporting: the CONSORT, QUORUM, and STROBE guidelines. Clin Orthop Relat Res. 2009; 467(6): 1393–4. doi: 10.1007/s11999-009-0786-x.
29.
Reche-SotoPCardona-NietoDDiaz-SuarezAGomez-CarmonaCPino-OrtegaJ. AcelT y PlayerLoad: Dos variables para la cuantificación de la carga neuromuscular. Rev Int Med Cienc Act Física Deporte 2019; Epub: Ahead of Print.
30.
KlassenTDSimpsonLALimSBLouieDRParappillyBSakakibaraBM, et al. “Stepping up” activity poststroke: ankle-positioned accelerometer can accurately record steps during slow walking. Phys Ther. 2016; 96(3): 355–60. doi: 10.2522/ptj.20140611.
31.
Leirós-RodríguezRRomo-PérezVGarcía-SoidánJL. Validity and reliability of a tool for accelerometric assessment of static balance in women. Eur J Physiother. 2017; 19(4): 243–8. doi: 10.1080/21679169.2017.1347707.
32.
GoodworthAPerroneKPillsburyMYargeauM. Effects of visual focus and gait speed on walking balance in the frontal plane. Hum Mov Sci. 2015; 42: 15–26. doi: 10.1016/j.humov.2015.04.004.
33.
WangJLiuYFanW. Design and Calibration for a Smart Inertial Measurement Unit for Autonomous Helicopters Using MEMS Sensors, IEEE. 2006; 956–61. doi: 10.1109/ICMA.2006.257754.
34.
Gómez-CarmonaCDBastida-CastilloAGarcía-RubioJIbáñezSJPino-OrtegaJ. Static and dynamic reliability of WIMU PROTM accelerometers according to anatomical placement. Proc Inst Mech Eng Part P J Sports Eng Technol. 2018; 233(2): 238–48. doi: 10.1177/2F1754337118816922.
35.
FieldA. Discovering Statistics Using IBM SPSS Statistics. 4th ed. London: SAGE. 2013.
36.
CohenJ. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960; 20: 37–46. doi: 10.1177/001316446002000104.
37.
HopkinsWGMarshallSWBatterhamAMHaninJ. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009; 41(1): 3–13. doi: 10.1249/MSS.0b013e31818cb278.
38.
NedergaardNJRobinsonMAEusterwiemannEDrustBLisboaPJVanrenterghemJ. The relationship between whole-body external loading and body-worn accelerometry during team-sport movements. Int J Sports Physiol Perform. 2017; 12(1): 18–26. doi: 10.1123/ijspp.2015-0712.
39.
ÖzdemirA. An analysis on sensor locations of the human body for wearable fall detection devices: principles and practice. Sensors. 2016; 16(8): 1161. doi: 10.3390/s16081161.
40.
BoeremaSvan VelsenLSchaakeLTönisTHermensH. Optimal sensor placement for measuring physical activity with a 3D accelerometer. Sensors. 2014; 14(2): 3188–206. doi: 10.3390/s140203188.
41.
BarrettSMidgleyALovellR. PlayerLoadTM: reliability, convergent validity, and influence of unit position during treadmill running. Int J Sports Physiol Perform. 2014; 9(6): 945–52. doi: 10.1123/ijspp.2013-0418.
42.
SinclairJFau-GoodwinJRichardsJShoreH. The influence of minimalist and maximalist footwear on the kinetics and kinematics of running. Footwear Sci. 2016; 8(1): 33–9. doi: 10.1080/19424280.2016.1142003.
43.
SinclairJSantB. The effects of cross-fit footwear on the kinetics and kinematics of running. Footwear Sci. 2017; 9(1): 41–8. doi: 10.1080/19424280.2016.1268212.
44.
WangMGuYBakerJS. Analysis of foot kinematics wearing high heels using the oxford foot model. Technol Health Care. 2018; 26(5): 815–23. doi: 10.3233/THC-181264.
45.
Di SipioEPiccininiGPecchioliCGermanottaMIacovelliCSimbolottiC, et al. Walking variations in healthy women wearing high-heeled shoes: shoe size and heel height effects. Gait Posture. 2018; 63: 195–201. doi: 10.1016/j.gaitpost.2018.04.048.
46.
LeeC-MJeongE-HFreivaldsA. Biomechanical effects of wearing high-heeled shoes. Int J Ind Ergon. 2001; 28(6): 321–6. doi: 10.1016/S0169-8141(01)00038-5.
