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Gait Imbalances of Middle-Aged Sedentary Populations

Yıl 2023, Cilt: 6 Sayı: Special Issue 1- Healthy Life, Sports for Disabled people, 1 - 8, 25.10.2023

Hasan Hüseyin Yılmaz Murat Kaldırımcı

https://doi.org/10.33438/ijdshs.1349096

Öz

Walking is the first locomotor movement developed by humans after reflexive movements and balancing processes. This study aimed to evaluate walking patterns of middle-aged individuals who lead a sedentary life and to compare gait parameters in terms of gender and body mass index. This study contained eighty-four voluntarily participants (30.00±6.94 years; 74.02±15.44 kg; 170.23±8.94 cm). All participants were sedentary individuals who had not undergone any lower extremity surgery, did not use any movement system medication. Height was assessed by using a wall-mounted stadiometer. Weight was assesed by using Tanita TBF-300. Gait Analysis were performed by Microgate Optogait. All tests were carried out in the same air-conditioned lab which was set to 20°C and 1890 m altitude. Gait parameters were directly provided from Microgate Optogait. The differences between women and men, fat and normal weight were determined using an analysis of variance with Independent T test. All the data were shown as mean and standard deviation. In statistical analysis, the level of significance was chosen as p<0.05. There was no significantly difference, when gait parameters values was compared according to gender and BMI (p>0.05) in all parameters. There was just significantly difference contact phase and propulsive phase according to gender and double support phase according to BMI. There was also bilaterally difference contact phase, the overweights had more imbalance and interestingly in favor of the non-dominant limb. The mean values of the gait values obtained were similarly the norm values of healthy middle-aged individuals.

Anahtar Kelimeler

adults walking imbalance

Kaynakça

  • Andrews, A.W., Vallabhajosula, S., Boise, S., & Bohannon, R.W. (2022). Normal gait speed varies by age and sex but not by geographical region: a systematic review. Journal of Physiotherapy.
  • Auvinet, B., Berrut, G., Touzard, C., Moutel, L., Collet, N., Chaleil, D., & Barrey, E. (2002). Reference data for normal subjects obtained with an accelerometric device. Gait & Posture, 16(2), 124-134.
  • Bahureksa, L., Najafi, B., Saleh, A., Sabbagh, M., Coon, D., Mohler, M.J., & Schwenk, M. (2016). The impact of mild cognitive impairment on gait and balance: a systematic review and meta-analysis of studies using instrumented assessment. Gerontology, 63(1), 67-83.
  • Baker, R., Esquenazi, A., Benedetti, M.G., & Desloovere, K. (2016). Gait analysis: clinical facts. Eur. J. Phys. Rehabil. Med, 52(4), 560-574.
  • Baker, R., McGinley, J.L., Schwartz, M.H., Beynon, S., Rozumalski, A., Graham, H. K., & Tirosh, O. (2009). The gait profile score and movement analysis profile. Gait & Posture, 30(3), 265-269. Booth, F.W., & Chakravarthy, M.V. (2002). Cost and consequences of sedentary living: New battleground for an old enemy. President's Council on Physical Fitness and Sports Research Digest.
  • Brunner, R., & Romkes, J. (2008). Abnormal EMG muscle activity during gait in patients without neurological disorders. Gait & Posture, 27(3), 399-407.
  • Buckley, C., Alcock, L., McArdle, R., Rehman, R. Z. U., Del Din, S., Mazzà, C., . . . Rochester, L. (2019). The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control. Brain Sciences, 9(2), 34.
  • Carter, S., Hartman, Y., Holder, S., Thijssen, D.H., & Hopkins, N.D. (2017). Sedentary behavior and cardiovascular disease risk: mediating mechanisms. Exercise and Sport Sciences Reviews, 45(2), 80-86.
  • Chambers, H.G., & Sutherland, D.H. (2002). A practical guide to gait analysis. JAAOS-Journal of the American Academy of Orthopaedic Surgeons, 10(3), 222-231.
  • Chang, F.M., Rhodes, J.T., Flynn, K.M., & Carollo, J. J. (2010). The role of gait analysis in treating gait abnormalities in cerebral palsy. Orthopedic Clinics, 41(4), 489-506.
  • Chen, S., Lach, J., Lo, B., & Yang, G.-Z. (2016). Toward pervasive gait analysis with wearable sensors: A systematic review. IEEE Journal of Biomedical and Health Informatics, 20(6), 1521-1537.
  • Cho, S.H., Park, J.M., & Kwon, O.Y. (2004). Gender differences in three dimensional gait analysis data from 98 healthy Korean adults. Clinical Biomechanics, 19(2), 145-152.
  • Chung, M.J., & Wang, M.J.J. (2010). The change of gait parameters during walking at different percentage of preferred walking speed for healthy adults aged 20–60 years. Gait & Posture, 31(1), 131-135.
  • Fukuchi, C.A., Fukuchi, R.K., & Duarte, M. (2019). Effects of walking speed on gait biomechanics in healthy participants: a systematic review and meta-analysis. Systematic Reviews, 8(1), 1-11.
  • Healy, A., Linyard-Tough, K., & Chockalingam, N. (2019). Agreement between the spatiotemporal gait parameters of healthy adults from the optogait system and a traditional three-dimensional motion capture system. Journal of Biomechanical Engineering, 141(1), 014501.
  • Hollman, J.H., Youdas, J.W., & Lanzino, D.J. (2011). Gender differences in dual task gait performance in older adults. American Journal of Men's Health, 5(1), 11-17.
  • Ippersiel, P., Shah, V., & Dixon, P. (2022). The impact of outdoor walking surfaces on lower-limb coordination and variability during gait in healthy adults. Gait & Posture, 91, 7-13.
  • Jacobs, D., Farid, L., Ferré, S., Herraez, K., Gracies, J.-M., & Hutin, E. (2021). Evaluation of the Validity and Reliability of Connected Insoles to Measure Gait Parameters in Healthy Adults. Sensors, 21(19), 6543.
  • Jayakaran, P., DeSouza, L., Cossar, J., & Gilhooly, K. (2014). Influence of a walking aid on temporal and spatial parameters of gait in healthy adults. PM&R, 6(9), 796-801.
  • Khera, P., & Kumar, N. (2020). Role of machine learning in gait analysis: a review. Journal of Medical Engineering & Technology, 44(8), 441-467.
  • Kim, G., & Yoon, N.M. (2009). A study on kinetic gait analysis of the normal adult. Journal of Korean Physical Therapy, 21(2), 87-95.
  • Kirmizi, M., Simsek, I.E., Elvan, A., Akcali, O., & Angin, S. (2019). Gait speed and gait asymmetry in individuals with chronic idiopathic neck pain. Musculoskeletal Science and Practice, 41, 23-27.
  • Koo, H.M., & Lee, S.Y. (2016). Gait analysis on the condition of arm swing in healthy young adults. Physical Therapy Rehabilitation Science, 5(3), 149-154.
  • Lencioni, T., Carpinella, I., Rabuffetti, M., Cattaneo, D., & Ferrarin, M. (2020). Measures of dynamic balance during level walking in healthy adult subjects: Relationship with age, anthropometry and spatio-temporal gait parameters. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(2), 131-140.
  • Mainous III, A.G., Tanner, R.J., Rahmanian, K. P., Jo, A., & Carek, P.J. (2019). Effect of sedentary lifestyle on cardiovascular disease risk among healthy adults with body mass indexes 18.5 to 29.9 kg/m2. The American Journal of Cardiology, 123(5), 764-768.
  • Öberg, T., Karsznia, A., & Öberg, K. (1993). Basic gait parameters: reference data for normal subjects, 10-79 years of age. Journal of Rehabilitation Research and Development, 30, 210-210.
  • Patterson, K. K., Nadkarni, N. K., Black, S. E., & McIlroy, W. E. (2012). Gait symmetry and velocity differ in their relationship to age. Gait & Posture, 35(4), 590-594.
  • Rowe, E., Beauchamp, M.K., & Wilson, J.A. (2021). Age and sex differences in normative gait patterns. Gait & Posture, 88, 109-115.
  • Rozumalski, A., & Schwartz, M.H. (2011). The GDI-Kinetic: a new index for quantifying kinetic deviations from normal gait. Gait & Posture, 33(4), 730-732.
  • Senden, R., Grimm, B., Heyligers, I., Savelberg, H., & Meijer, K. (2009). Acceleration-based gait test for healthy subjects: reliability and reference data. Gait & Posture, 30(2), 192-196.
  • Silva, L.M., & Stergiou, N. (2020). The basics of gait analysis. Biomech. Gait Anal, 164, 231. Stergiou, N. (2020). Biomechanics and gait analysis: Academic Press.
  • Viswakumar, A., Rajagopalan, V., Ray, T., & Parimi, C. (2019). Human gait analysis using OpenPose. Paper presented at the 2019 fifth international conference on image information processing (ICIIP).
  • Whittle, M.W. (2014). Gait analysis: an introduction: Butterworth-Heinemann.
  • Yoneyama, M., Mitoma, H., & Hayashi, A. (2016). Effect of age, gender, and walkway length on accelerometry-based gait parameters for healthy adult subjects. Journal of Mechanics in Medicine and Biology, 16(03), 1650029.

Yıl 2023, Cilt: 6 Sayı: Special Issue 1- Healthy Life, Sports for Disabled people, 1 - 8, 25.10.2023

Hasan Hüseyin Yılmaz Murat Kaldırımcı

https://doi.org/10.33438/ijdshs.1349096

Öz

Kaynakça

  • Andrews, A.W., Vallabhajosula, S., Boise, S., & Bohannon, R.W. (2022). Normal gait speed varies by age and sex but not by geographical region: a systematic review. Journal of Physiotherapy.
  • Auvinet, B., Berrut, G., Touzard, C., Moutel, L., Collet, N., Chaleil, D., & Barrey, E. (2002). Reference data for normal subjects obtained with an accelerometric device. Gait & Posture, 16(2), 124-134.
  • Bahureksa, L., Najafi, B., Saleh, A., Sabbagh, M., Coon, D., Mohler, M.J., & Schwenk, M. (2016). The impact of mild cognitive impairment on gait and balance: a systematic review and meta-analysis of studies using instrumented assessment. Gerontology, 63(1), 67-83.
  • Baker, R., Esquenazi, A., Benedetti, M.G., & Desloovere, K. (2016). Gait analysis: clinical facts. Eur. J. Phys. Rehabil. Med, 52(4), 560-574.
  • Baker, R., McGinley, J.L., Schwartz, M.H., Beynon, S., Rozumalski, A., Graham, H. K., & Tirosh, O. (2009). The gait profile score and movement analysis profile. Gait & Posture, 30(3), 265-269. Booth, F.W., & Chakravarthy, M.V. (2002). Cost and consequences of sedentary living: New battleground for an old enemy. President's Council on Physical Fitness and Sports Research Digest.
  • Brunner, R., & Romkes, J. (2008). Abnormal EMG muscle activity during gait in patients without neurological disorders. Gait & Posture, 27(3), 399-407.
  • Buckley, C., Alcock, L., McArdle, R., Rehman, R. Z. U., Del Din, S., Mazzà, C., . . . Rochester, L. (2019). The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control. Brain Sciences, 9(2), 34.
  • Carter, S., Hartman, Y., Holder, S., Thijssen, D.H., & Hopkins, N.D. (2017). Sedentary behavior and cardiovascular disease risk: mediating mechanisms. Exercise and Sport Sciences Reviews, 45(2), 80-86.
  • Chambers, H.G., & Sutherland, D.H. (2002). A practical guide to gait analysis. JAAOS-Journal of the American Academy of Orthopaedic Surgeons, 10(3), 222-231.
  • Chang, F.M., Rhodes, J.T., Flynn, K.M., & Carollo, J. J. (2010). The role of gait analysis in treating gait abnormalities in cerebral palsy. Orthopedic Clinics, 41(4), 489-506.
  • Chen, S., Lach, J., Lo, B., & Yang, G.-Z. (2016). Toward pervasive gait analysis with wearable sensors: A systematic review. IEEE Journal of Biomedical and Health Informatics, 20(6), 1521-1537.
  • Cho, S.H., Park, J.M., & Kwon, O.Y. (2004). Gender differences in three dimensional gait analysis data from 98 healthy Korean adults. Clinical Biomechanics, 19(2), 145-152.
  • Chung, M.J., & Wang, M.J.J. (2010). The change of gait parameters during walking at different percentage of preferred walking speed for healthy adults aged 20–60 years. Gait & Posture, 31(1), 131-135.
  • Fukuchi, C.A., Fukuchi, R.K., & Duarte, M. (2019). Effects of walking speed on gait biomechanics in healthy participants: a systematic review and meta-analysis. Systematic Reviews, 8(1), 1-11.
  • Healy, A., Linyard-Tough, K., & Chockalingam, N. (2019). Agreement between the spatiotemporal gait parameters of healthy adults from the optogait system and a traditional three-dimensional motion capture system. Journal of Biomechanical Engineering, 141(1), 014501.
  • Hollman, J.H., Youdas, J.W., & Lanzino, D.J. (2011). Gender differences in dual task gait performance in older adults. American Journal of Men's Health, 5(1), 11-17.
  • Ippersiel, P., Shah, V., & Dixon, P. (2022). The impact of outdoor walking surfaces on lower-limb coordination and variability during gait in healthy adults. Gait & Posture, 91, 7-13.
  • Jacobs, D., Farid, L., Ferré, S., Herraez, K., Gracies, J.-M., & Hutin, E. (2021). Evaluation of the Validity and Reliability of Connected Insoles to Measure Gait Parameters in Healthy Adults. Sensors, 21(19), 6543.
  • Jayakaran, P., DeSouza, L., Cossar, J., & Gilhooly, K. (2014). Influence of a walking aid on temporal and spatial parameters of gait in healthy adults. PM&R, 6(9), 796-801.
  • Khera, P., & Kumar, N. (2020). Role of machine learning in gait analysis: a review. Journal of Medical Engineering & Technology, 44(8), 441-467.
  • Kim, G., & Yoon, N.M. (2009). A study on kinetic gait analysis of the normal adult. Journal of Korean Physical Therapy, 21(2), 87-95.
  • Kirmizi, M., Simsek, I.E., Elvan, A., Akcali, O., & Angin, S. (2019). Gait speed and gait asymmetry in individuals with chronic idiopathic neck pain. Musculoskeletal Science and Practice, 41, 23-27.
  • Koo, H.M., & Lee, S.Y. (2016). Gait analysis on the condition of arm swing in healthy young adults. Physical Therapy Rehabilitation Science, 5(3), 149-154.
  • Lencioni, T., Carpinella, I., Rabuffetti, M., Cattaneo, D., & Ferrarin, M. (2020). Measures of dynamic balance during level walking in healthy adult subjects: Relationship with age, anthropometry and spatio-temporal gait parameters. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(2), 131-140.
  • Mainous III, A.G., Tanner, R.J., Rahmanian, K. P., Jo, A., & Carek, P.J. (2019). Effect of sedentary lifestyle on cardiovascular disease risk among healthy adults with body mass indexes 18.5 to 29.9 kg/m2. The American Journal of Cardiology, 123(5), 764-768.
  • Öberg, T., Karsznia, A., & Öberg, K. (1993). Basic gait parameters: reference data for normal subjects, 10-79 years of age. Journal of Rehabilitation Research and Development, 30, 210-210.
  • Patterson, K. K., Nadkarni, N. K., Black, S. E., & McIlroy, W. E. (2012). Gait symmetry and velocity differ in their relationship to age. Gait & Posture, 35(4), 590-594.
  • Rowe, E., Beauchamp, M.K., & Wilson, J.A. (2021). Age and sex differences in normative gait patterns. Gait & Posture, 88, 109-115.
  • Rozumalski, A., & Schwartz, M.H. (2011). The GDI-Kinetic: a new index for quantifying kinetic deviations from normal gait. Gait & Posture, 33(4), 730-732.
  • Senden, R., Grimm, B., Heyligers, I., Savelberg, H., & Meijer, K. (2009). Acceleration-based gait test for healthy subjects: reliability and reference data. Gait & Posture, 30(2), 192-196.
  • Silva, L.M., & Stergiou, N. (2020). The basics of gait analysis. Biomech. Gait Anal, 164, 231. Stergiou, N. (2020). Biomechanics and gait analysis: Academic Press.
  • Viswakumar, A., Rajagopalan, V., Ray, T., & Parimi, C. (2019). Human gait analysis using OpenPose. Paper presented at the 2019 fifth international conference on image information processing (ICIIP).
  • Whittle, M.W. (2014). Gait analysis: an introduction: Butterworth-Heinemann.
  • Yoneyama, M., Mitoma, H., & Hayashi, A. (2016). Effect of age, gender, and walkway length on accelerometry-based gait parameters for healthy adult subjects. Journal of Mechanics in Medicine and Biology, 16(03), 1650029.
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Fiziksel Uygunluk, Motor Kontrol
Bölüm Original Article
Yazarlar

Hasan Hüseyin Yılmaz 0000-0003-1994-7731

Murat Kaldırımcı 0000-0002-4285-7307

Erken Görünüm Tarihi 16 Ekim 2023
Yayımlanma Tarihi 25 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 6 Sayı: Special Issue 1- Healthy Life, Sports for Disabled people

Kaynak Göster

APA Yılmaz, H. H., & Kaldırımcı, M. (2023). Gait Imbalances of Middle-Aged Sedentary Populations. International Journal of Disabilities Sports and Health Sciences, 6(Special Issue 1- Healthy Life, Sports for Disabled people), 1-8. https://doi.org/10.33438/ijdshs.1349096
AMA Yılmaz HH, Kaldırımcı M. Gait Imbalances of Middle-Aged Sedentary Populations. International Journal of Disabilities Sports and Health Sciences. Ekim 2023;6(Special Issue 1- Healthy Life, Sports for Disabled people):1-8. doi:10.33438/ijdshs.1349096
Chicago Yılmaz, Hasan Hüseyin, ve Murat Kaldırımcı. “Gait Imbalances of Middle-Aged Sedentary Populations”. International Journal of Disabilities Sports and Health Sciences 6, sy. Special Issue 1- Healthy Life, Sports for Disabled people (Ekim 2023): 1-8. https://doi.org/10.33438/ijdshs.1349096.
EndNote Yılmaz HH, Kaldırımcı M (01 Ekim 2023) Gait Imbalances of Middle-Aged Sedentary Populations. International Journal of Disabilities Sports and Health Sciences 6 Special Issue 1- Healthy Life, Sports for Disabled people 1–8.
IEEE H. H. Yılmaz ve M. Kaldırımcı, “Gait Imbalances of Middle-Aged Sedentary Populations”, International Journal of Disabilities Sports and Health Sciences, c. 6, sy. Special Issue 1- Healthy Life, Sports for Disabled people, ss. 1–8, 2023, doi: 10.33438/ijdshs.1349096.
ISNAD Yılmaz, Hasan Hüseyin - Kaldırımcı, Murat. “Gait Imbalances of Middle-Aged Sedentary Populations”. International Journal of Disabilities Sports and Health Sciences 6/Special Issue 1- Healthy Life, Sports for Disabled people (Ekim 2023), 1-8. https://doi.org/10.33438/ijdshs.1349096.
JAMA Yılmaz HH, Kaldırımcı M. Gait Imbalances of Middle-Aged Sedentary Populations. International Journal of Disabilities Sports and Health Sciences. 2023;6:1–8.
MLA Yılmaz, Hasan Hüseyin ve Murat Kaldırımcı. “Gait Imbalances of Middle-Aged Sedentary Populations”. International Journal of Disabilities Sports and Health Sciences, c. 6, sy. Special Issue 1- Healthy Life, Sports for Disabled people, 2023, ss. 1-8, doi:10.33438/ijdshs.1349096.
Vancouver Yılmaz HH, Kaldırımcı M. Gait Imbalances of Middle-Aged Sedentary Populations. International Journal of Disabilities Sports and Health Sciences. 2023;6(Special Issue 1- Healthy Life, Sports for Disabled people):1-8.
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