Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration

Briana N Sprague¹, Xiaonan Zhu¹, Andrea L Rosso¹, Joe Verghese^{2

3}, Kim Delbaere^{4

5}, Darren M Lipnicki⁶, Perminder S Sachdev^{5

7}, Tze Pin Ng⁸, Xinyi Gwee⁸, Keng Bee Yap⁹, Ki-Woong Kim^{10

11

12}, Ji Won Han^{10

11}, Dae Jong Oh^{11

13}, Kenji Narazaki¹⁴, Tao Chen¹⁵, Sanmei Chen¹⁶, Henry Brodaty⁶, Katya Numbers⁶, Nicole A Kochan⁶, Richard W Walker¹⁷, Stella-Maria Paddick¹⁸, Oye Gureje¹⁹, Akin Ojagbemi¹⁹, Toyin Bello¹⁹, Caterina Rosano¹; COSMIC Consortium

Affiliations

¹ Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania,USA.
² Department of Neurology, Albert Einstein College of Medicine, New York, New York, USA.
³ Department of Medicine, Albert Einstein College of Medicine, New York, New York, USA.
⁴ Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, New South Wales, Australia.
⁵ School of Population Health, University of New South Wales, Sydney, New South Wales, Australia.
⁶ Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia.
⁷ Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, New South Wales, Australia.
⁸ Department of Psychological Medicine, National University of Singapore, Singapore, Singapore.
⁹ Department of Geriatric Medicine, Ng Teng Fong Hospital, Singapore, Singapore.
¹⁰ Department of Neuropsychiatry, Seoul National University, Bundang Hospital, Seongnam, South Korea.
¹¹ Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.
¹² Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea.
¹³ Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, South Korea.
¹⁴ Center for Liberal Arts, Fukuoka Institute of Technology, Fukuoka, Japan.
¹⁵ Sports and Health Research Center, Department of Physical Education, Tongji University, Shanghai, China.
¹⁶ Department of Health Sciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
¹⁷ Department of Medicine, North Tyneside General Hospital, North Shields, UK.
¹⁸ Translational and Clinical Research Institute; Newcastle University, Newcastle upon Tyne, UK.
¹⁹ Department of Psychiatry, University of Ibadan, Ibadan, Nigeria.

PMID: 36975099
PMCID: PMC10692426
DOI: 10.1093/gerona/glad090

Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration

Briana N Sprague et al. J Gerontol A Biol Sci Med Sci. 2023.

. 2023 Dec 1;78(12):2396-2406.

doi: 10.1093/gerona/glad090.

Authors

Affiliations

¹ Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania,USA.
² Department of Neurology, Albert Einstein College of Medicine, New York, New York, USA.
³ Department of Medicine, Albert Einstein College of Medicine, New York, New York, USA.
⁴ Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, New South Wales, Australia.
⁵ School of Population Health, University of New South Wales, Sydney, New South Wales, Australia.
⁶ Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia.
⁷ Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, New South Wales, Australia.
⁸ Department of Psychological Medicine, National University of Singapore, Singapore, Singapore.
⁹ Department of Geriatric Medicine, Ng Teng Fong Hospital, Singapore, Singapore.
¹⁰ Department of Neuropsychiatry, Seoul National University, Bundang Hospital, Seongnam, South Korea.
¹¹ Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.
¹² Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea.
¹³ Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, South Korea.
¹⁴ Center for Liberal Arts, Fukuoka Institute of Technology, Fukuoka, Japan.
¹⁵ Sports and Health Research Center, Department of Physical Education, Tongji University, Shanghai, China.
¹⁶ Department of Health Sciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
¹⁷ Department of Medicine, North Tyneside General Hospital, North Shields, UK.
¹⁸ Translational and Clinical Research Institute; Newcastle University, Newcastle upon Tyne, UK.
¹⁹ Department of Psychiatry, University of Ibadan, Ibadan, Nigeria.

PMID: 36975099
PMCID: PMC10692426
DOI: 10.1093/gerona/glad090

Abstract

Background: Few studies have compared gait speed and its correlates among different ethnogeographic regions. The goals of this study were to describe usual and rapid gait speed, and identify their correlates across Australian, Asian, and African countries.

Methods: We used data from 6 population-based cohorts of adults aged 65+ from 6 countries and 3 continents (N = 6 472), with samples ranging from 231 to 1 913. All cohorts are members of the Cohort Studies of Memory in an International Consortium collaboration. We investigated whether clinical (body mass index [BMI], hypertension, stroke, apolipoprotein status), psychological (cognition, mood, general health), and behavioral factors (smoking, drinking, physical activity) correlated with usual (N = 4 cohorts) and rapid gait speed (N = 3 cohorts) similarly across cohorts. Regression models were controlled for age, sex, and education, and were sex-stratified.

Results: Age- and sex-standardized usual gait speed means ranged from 0.61 to 1.06 m/s and rapid gait speed means ranged from 1.16 to 1.64 m/s. Lower BMI and better cognitive function consistently correlated with faster gait speed in all cohorts. Less consistently, not having hypertension and greater physical activity engagement were associated with faster gait speed. Associations with mood, smoking, and drinking were largely nonsignificant. These patterns were not attenuated by demographics. There was limited evidence that the associations differed by sex, except physical activity, where the greater intensity was associated with usual gait among men but not women.

Conclusions: This study is among the first to describe the usual and rapid gait speeds across older adults in Africa, Asia, and Australia.

Keywords: Cognition; Mobility; Physical activity; Psychological health; Risk factors.

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Conflict of interest statement

None declared.

References

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Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration

Affiliations

Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration

Authors

Affiliations

Abstract

Conflict of interest statement

References

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical