Literature DB >> 25702092

Interactions of sex and aging on spatiotemporal metrics in non-pathological gait: a descriptive meta-analysis.

Rebecca Frimenko1, Charles Goodyear2, Dustin Bruening3.   

Abstract

BACKGROUND: Individual studies examining aging-related changes in gait offer conflicting information on differences between male and female spatiotemporal metrics over the course of a mature lifetime. Furthermore, these studies do not often account for a known difference in size between men and women, and thus may reach conclusions based upon size rather than sex differences.
OBJECTIVE: To examine the influences of sex, height, and age on spatiotemporal metrics during non-pathological gait over the course of adult aging. DATA SOURCES: Potentially relevant articles were identified from PubMed, Web of Science, and Google Scholar using the key words 'gait,' 'walk', 'gender,' 'sex,' 'female,' 'male,' 'gait speed,' 'step length,' and 'cadence.' ELIGIBILITY CRITERIA: (1) article could be obtained in English, (2) contained information about non-pathological subjects, (3) analyzed kinematics of walking, (4) provided female and male data, (5) average female/male age difference not more than 5 years, (6) reported a measure of variance and number of subjects, and (7) no known retractions associated with the publication. RESULTS AND
CONCLUSIONS: Non-dimensional gait speed analysis suggests that gait speed differences between men and women may be an artifact of size rather than sex. In both raw and dimensionless data, this analysis indicates that men may take longer step lengths than women, and women may have a higher cadence than men. This analysis also identified a possible increase in many metrics between 20 and 40 years of age, before decreasing around the fifth decade of life. Future studies should examine these trends across the entire lifespan. Published by Elsevier Ltd.

Entities:  

Keywords:  Aging; Gait; Gender; Normalization; Sex

Mesh:

Year:  2015        PMID: 25702092     DOI: 10.1016/j.physio.2015.01.003

Source DB:  PubMed          Journal:  Physiotherapy        ISSN: 0031-9406            Impact factor:   3.358


  13 in total

Review 1.  Association between Various Brain Pathologies and Gait Disturbance.

Authors:  Alexandra M V Wennberg; Rodolfo Savica; Michelle M Mielke
Journal:  Dement Geriatr Cogn Disord       Date:  2017-02-03       Impact factor: 2.959

2.  Courses of change in knee adduction moment and lateral thrust differ up to 1 year after TKA.

Authors:  Noboru Shimada; Masataka Deie; Kazuhiko Hirata; Yasuhiko Hiate; Naoya Orita; Daisuke Iwaki; Yoshihiro Ito; Hiroaki Kimura; Evangelos Pappas; Mitsuo Ochi
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-07-17       Impact factor: 4.342

3.  Longitudinal Association Between Brain Amyloid-Beta and Gait in the Mayo Clinic Study of Aging.

Authors:  Alexandra M V Wennberg; Timothy G Lesnick; Christopher G Schwarz; Rodolfo Savica; Clinton E Hagen; Rosebud O Roberts; David S Knopman; John H Hollman; Prashanthi Vemuri; Clifford R Jack; Ronald C Petersen; Michelle M Mielke
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-08-10       Impact factor: 6.053

Review 4.  The Human Pelvis: Variation in Structure and Function During Gait.

Authors:  Cara L Lewis; Natalie M Laudicina; Anne Khuu; Kari L Loverro
Journal:  Anat Rec (Hoboken)       Date:  2017-04       Impact factor: 2.064

5.  Of Aging Mice and Men: Gait Speed Decline Is a Translatable Trait, With Species-Specific Underlying Properties.

Authors:  Woei-Nan Bair; Michael Petr; Irene Alfaras; Sarah J Mitchell; Michel Bernier; Luigi Ferrucci; Stephanie A Studenski; Rafael De Cabo
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-08-16       Impact factor: 6.053

6.  Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people.

Authors:  Anne-Marie De Cock; Erik Fransen; Stany Perkisas; Veronique Verhoeven; Olivier Beauchet; Roy Remmen; Maurits Vandewoude
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

7.  Inertial Sensor-Based Gait and Attractor Analysis as Clinical Measurement Tool: Functionality and Sensitivity in Healthy Subjects and Patients With Symptomatic Lumbar Spinal Stenosis.

Authors:  S Kimberly Byrnes; Corina Nüesch; Stefan Loske; Andrea Leuenberger; Stefan Schären; Cordula Netzer; Annegret Mündermann
Journal:  Front Physiol       Date:  2018-08-14       Impact factor: 4.566

8.  Is the 10 metre walk test on sloped surfaces associated with age and physical activity in healthy adults?

Authors:  Daniel Thomson; Matthew Liston; Amitabh Gupta
Journal:  Eur Rev Aging Phys Act       Date:  2019-07-18       Impact factor: 3.878

9.  Reference Values of Gait Speed and Gait Spatiotemporal Parameters for a South East Asian Population: The Yishun Study.

Authors:  Lay Khoon Lau; Shiou Liang Wee; Wei Jun Benedict Pang; Kexun Kenneth Chen; Khalid Abdul Jabbar; Philip Lin Kiat Yap; Jagadish Ullal Mallya; Daniella Hui Min Ng; Queenie Lin Ling Tan; Wei Ting Seah; Tze Pin Ng
Journal:  Clin Interv Aging       Date:  2020-09-24       Impact factor: 4.458

10.  Reference values of gait using APDM movement monitoring inertial sensor system.

Authors:  Xin Fang; Chuandao Liu; Zhongli Jiang
Journal:  R Soc Open Sci       Date:  2018-01-10       Impact factor: 2.963

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