Literature DB >> 30056008

Association Between Gait Speed With Mortality, Cardiovascular Disease and Cancer: A Systematic Review and Meta-analysis of Prospective Cohort Studies.

Nicola Veronese1, Brendon Stubbs2, Stefano Volpato3, Giovanni Zuliani3, Stefania Maggi4, Matteo Cesari5, Darren M Lipnicki6, Lee Smith7, Patricia Schofield7, Joseph Firth8, Davy Vancampfort9, Ai Koyanagi10, Alberto Pilotto11, Emanuele Cereda12.   

Abstract

OBJECTIVES: Slow gait speed may be associated with premature mortality, cardiovascular disease (CVD), and cancer, although a comprehensive meta-analysis is lacking. In this systematic review and meta-analysis, we explored potential associations between gait speed and mortality, incident CVD, and cancer.
DESIGN: A systematic search in major databases was undertaken from inception until March 15, 2018 for prospective cohort studies reporting data on gait speed and mortality, incident CVD, and cancer. SETTING AND PARTICIPANTS: All available. MEASURES: The adjusted hazard ratios (HRs) and 95% confidence intervals (CIs), based on the model with the maximum number of covariates for each study between gait speed (categorized as decrease in 0.1 m/s) and mortality, incident CVD, and cancer, were meta-analyzed with a random effects model.
RESULTS: Among 7026 articles, 44 articles corresponding to 48 independent cohorts were eligible. The studies followed up on a total of 101,945 participants (mean age 72.2 years; 55% women) for a median of 5.4 years. After adjusting for a median of 9 potential confounders and the presence of publication bias, each reduction of 0.1 m/s in gait speed was associated with a 12% increased risk of earlier mortality (45 studies; HR = 1.12, 95% CI: 1.09-1.14; I2 = 90%) and 8% increased risk of CVD (13 studies; HR = 1.08, 95% CI: 1.03-1.13; I2 = 81%), but no relationship with cancer was observed (HR = 1.00, 95% CI: 0.97-1.04; I2 = 15%). CONCLUSION/IMPLICATIONS: Slow gait speed may be a predictor of mortality and CVD in older adults. Because gait speed is a quick and inexpensive measure to obtain, our study suggests that it should be routinely used and may help identify people at risk of premature mortality and CVD.
Copyright © 2018 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gait speed; cancer; cardiovascular disease; meta-analysis; mortality

Mesh:

Year:  2018        PMID: 30056008     DOI: 10.1016/j.jamda.2018.06.007

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  35 in total

1.  Prospective associations of cardiovascular disease with physical performance and disability : A longitudinal cohort study in the Osteoarthritis Initiative.

Authors:  Nicola Veronese; Brendon Stubbs; Sarah E Jackson; Ai Koyanagi; Vania Noventa; Francesco Bolzetta; Alberto Cester; Pinar Soysal; Stefania Maggi; Guillermo F López-Sánchez; Mike Loosemore; Jacopo Demurtas; Lee Smith
Journal:  Wien Klin Wochenschr       Date:  2019-11-05       Impact factor: 1.704

2.  Clinical utility of simple subjective gait speed for the risk stratification of heart failure in a primary prevention setting.

Authors:  Kensuke Ueno; Hidehiro Kaneko; Kentaro Kamiya; Hidetaka Itoh; Akira Okada; Yuta Suzuki; Satoshi Matsuoka; Katsuhito Fujiu; Nobuaki Michihata; Taisuke Jo; Norifumi Takeda; Hiroyuki Morita; Junya Ako; Hideo Yasunaga; Issei Komuro
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

3.  Prevalence and determinants of physical frailty among people living in residential aged care facilities: a large-scale retrospective audit.

Authors:  Rachel Milte; Jasmine Petersen; Jo Boylan; Tim Henwood; Sarah Hunter; Belinda Lange; Michael Lawless; Stacey Torode; Lucy K Lewis
Journal:  BMC Geriatr       Date:  2022-05-14       Impact factor: 4.070

4.  Associations Between Potentially Modifiable and Nonmodifiable Risk Factors and Gait Speed in Middle- and Older-Aged Adults: Results From the Canadian Longitudinal Study on Aging.

Authors:  Erica Figgins; Yun-Hee Choi; Mark Speechley; Manuel Montero-Odasso
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.053

5.  Association between objectively measured sleep duration and physical function in community-dwelling older adults.

Authors:  Wan-Chi Huang; Chien-Yu Lin; Fumiharu Togo; Ting-Fu Lai; Yung Liao; Jong-Hwan Park; Ming-Chun Hsueh; Hyuntae Park
Journal:  J Clin Sleep Med       Date:  2021-03-01       Impact factor: 4.062

6.  Patterns of Nutrient Intake in Relation to Sarcopenia and Its Components.

Authors:  Amir Bagheri; Rezvan Hashemi; Ramin Heshmat; Ahmadreza Dorosty Motlagh; Ahmad Esmaillzadeh
Journal:  Front Nutr       Date:  2021-04-27

7.  Influencing factors for the decline of limb muscle strength and the association with all-cause mortality: evidence from a nationwide population-based cohort study.

Authors:  Jiaxiang Gao; Yudian Qiu; Yunfei Hou; Liyi Zhang; Kai Wang; Zhaoyu Chen; Qian Liu; Jianhao Lin
Journal:  Aging Clin Exp Res       Date:  2021-07-27       Impact factor: 3.636

8.  Identification of hip fracture patients at risk for postoperative mobilisation complications via handgrip strength assessment.

Authors:  Johannes Gleich; Daniel Pfeufer; Alexander M Keppler; Stefan Mehaffey; Julian Fürmetz; Wolfgang Böcker; Christian Kammerlander; Carl Neuerburg
Journal:  Arch Orthop Trauma Surg       Date:  2021-01-23       Impact factor: 2.928

9.  Walking speed and balance both improved in older Japanese adults between 1998 and 2018.

Authors:  Tetsuhiro Kidokoro; Samantha J Peterson; Hannah K Reimer; Grant R Tomkinson
Journal:  J Exerc Sci Fit       Date:  2021-06-18       Impact factor: 3.103

10.  Physical Function and Survival in Older Adults: A longitudinal study accounting for time-varying effects.

Authors:  Sathya Karunananthan; Erica E M Moodie; Howard Bergman; Hélène Payette; Paula H Diehr; Christina Wolfson
Journal:  Arch Gerontol Geriatr       Date:  2021-05-24       Impact factor: 4.163

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