Literature DB >> 26302677

Higher gait speed and smaller sway area decrease the risk for decline in higher-level functional capacity among middle-aged and elderly women.

Mariko Nakamoto1, Rei Otsuka2, Atsumu Yuki3, Yukiko Nishita2, Chikako Tange2, Makiko Tomida4, Yuki Kato2, Fujiko Ando5, Hiroshi Shimokata6, Takao Suzuki7.   

Abstract

OBJECTIVE: This study assessed whether physical function can indicate a risk of decline in higher-level functional capacity.
METHODS: Data were derived from the National Institute for Longevity Sciences-Longitudinal Study of Aging. Subjects comprised 466 men and 495 women aged 40-79 years at baseline (1997-2000), whose total score for the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) at baseline was ≥11 and who participated in the follow-up survey. Baseline physical function examination included grip strength, comfortable gait speed, and sway area with eyes open. A decline in higher-level functional capacity was defined as a ≥2-point decrease in the TMIG-IC score after 14 years. The odds ratios (OR) and 95% confidence intervals (CI) for decline in the TMIG-IC score for 14 years according to a 1-standard deviation (SD) increase in physical function measurements at baseline were estimated.
RESULTS: Subjects with decreased TMIG-IC scores included 78 (16.7%) men and 80 (16.2%) women. In women, the multivariate-adjusted OR (95% CI) for a TMIG-IC score decrease with a 1-SD increase in comfortable gait speed was 0.68 (0.50-0.92; p=0.013), and that with a 1-SD increase in sway area with eyes open was 1.49 (1.17-1.90; p=0.001). Grip strength was not associated with TMIG-IC score decline. None of the physical performance measures affected TMIG-IC score declines in men.
CONCLUSION: These results suggest that gait speed decreases and sway area increases might predict a risk of decline in higher-level functional capacity among middle-aged and elderly women.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Gait speed; Higher-level functional capacity; Longitudinal study; Sway area

Mesh:

Year:  2015        PMID: 26302677     DOI: 10.1016/j.archger.2015.08.001

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  5 in total

1.  Singapore multidisciplinary consensus recommendations on muscle health in older adults: assessment and multimodal targeted intervention across the continuum of care.

Authors:  Samuel T H Chew; Geetha Kayambu; Charles Chin Han Lew; Tze Pin Ng; Fangyi Ong; Jonathan Tan; Ngiap Chuan Tan; Shuen-Loong Tham
Journal:  BMC Geriatr       Date:  2021-05-17       Impact factor: 3.921

2.  The effect of modifiable healthy practices on higher-level functional capacity decline among Japanese community dwellers.

Authors:  Rei Otsuka; Yukiko Nishita; Chikako Tange; Makiko Tomida; Yuki Kato; Mariko Nakamoto; Fujiko Ando; Hiroshi Shimokata; Takao Suzuki
Journal:  Prev Med Rep       Date:  2016-12-28

3.  Role of gait speed and grip strength in predicting 10-year cognitive decline among community-dwelling older people.

Authors:  Ming-Yueh Chou; Yukiko Nishita; Takeshi Nakagawa; Chikako Tange; Makiko Tomida; Hiroshi Shimokata; Rei Otsuka; Liang-Kung Chen; Hidenori Arai
Journal:  BMC Geriatr       Date:  2019-07-05       Impact factor: 3.921

4.  Associations between locomotive and non-locomotive physical activity and physical performance in older community-dwelling females with and without locomotive syndrome: a cross-sectional study.

Authors:  Tomohiro Nishimura; Atsushi Hagio; Kanako Hamaguchi; Toshiyuki Kurihara; Motoyuki Iemitsu; Kiyoshi Sanada
Journal:  J Physiol Anthropol       Date:  2021-11-04       Impact factor: 2.867

Review 5.  Predictive Validity of Motor Fitness and Flexibility Tests in Adults and Older Adults: A Systematic Review.

Authors:  Nuria Marín-Jiménez; Carolina Cruz-León; Alejandro Perez-Bey; Julio Conde-Caveda; Alberto Grao-Cruces; Virginia A Aparicio; José Castro-Piñero; Magdalena Cuenca-García
Journal:  J Clin Med       Date:  2022-01-10       Impact factor: 4.241

  5 in total

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