OBJECTIVES: To determine how three different physical performance measures (PPMs) combine for added utility in predicting adverse health events in elders. DESIGN: Prospective cohort study. SETTING: Health, Aging and Body Composition Study. PARTICIPANTS: Three thousand twenty-four well-functioning older persons (mean age 73.6). MEASUREMENTS: Timed gait, repeated chair stands, and balance (semi- and full-tandem, and single leg stands each held for 30 seconds) tests were administered at baseline. Usual gait speed was categorized to distinguish high- and low-risk participants using the previously established 1-m/s cutpoint. The same population-percentile (21.3%) was used to identify cutpoints for the repeated chair stands (17.1 seconds) and balance (53.0 seconds) tests. Cox proportional hazard analyses were performed to evaluate the added value of PPMs in predicting mortality, hospitalization, and (severe) mobility limitation events over 6.9 years of follow-up. RESULTS: Risk estimates for developing adverse health-related events were similarly large for each of the three high-risk groups considered separately. Having more PPM scores at the high-risk level was associated with a greater risk of developing adverse health-related events. When all three PPMs were considered, having only one poor performance was sufficient to indicate a highly significantly higher risk of (severe) lower extremity and mortality events. CONCLUSION: Although gait speed is considered to be the most important predictor of adverse health events, these findings demonstrate that poor performance on other tests of lower extremity function are equally prognostic. This suggests that chair stand and standing balance performance may be adequate substitutes when gait speed is unavailable.
OBJECTIVES: To determine how three different physical performance measures (PPMs) combine for added utility in predicting adverse health events in elders. DESIGN: Prospective cohort study. SETTING: Health, Aging and Body Composition Study. PARTICIPANTS: Three thousand twenty-four well-functioning older persons (mean age 73.6). MEASUREMENTS: Timed gait, repeated chair stands, and balance (semi- and full-tandem, and single leg stands each held for 30 seconds) tests were administered at baseline. Usual gait speed was categorized to distinguish high- and low-risk participants using the previously established 1-m/s cutpoint. The same population-percentile (21.3%) was used to identify cutpoints for the repeated chair stands (17.1 seconds) and balance (53.0 seconds) tests. Cox proportional hazard analyses were performed to evaluate the added value of PPMs in predicting mortality, hospitalization, and (severe) mobility limitation events over 6.9 years of follow-up. RESULTS: Risk estimates for developing adverse health-related events were similarly large for each of the three high-risk groups considered separately. Having more PPM scores at the high-risk level was associated with a greater risk of developing adverse health-related events. When all three PPMs were considered, having only one poor performance was sufficient to indicate a highly significantly higher risk of (severe) lower extremity and mortality events. CONCLUSION: Although gait speed is considered to be the most important predictor of adverse health events, these findings demonstrate that poor performance on other tests of lower extremity function are equally prognostic. This suggests that chair stand and standing balance performance may be adequate substitutes when gait speed is unavailable.
Authors: J M Guralnik; L Ferrucci; C F Pieper; S G Leveille; K S Markides; G V Ostir; S Studenski; L F Berkman; R B Wallace Journal: J Gerontol A Biol Sci Med Sci Date: 2000-04 Impact factor: 6.053
Authors: S Shinkai; S Watanabe; S Kumagai; Y Fujiwara; H Amano; H Yoshida; T Ishizaki; H Yukawa; T Suzuki; H Shibata Journal: Age Ageing Date: 2000-09 Impact factor: 10.668
Authors: Matteo Cesari; Marco Pahor; Benedetta Bartali; Antonio Cherubini; Brenda W J H Penninx; G Rhys Williams; Hal Atkinson; Antonio Martin; Jack M Guralnik; Luigi Ferrucci Journal: Am J Clin Nutr Date: 2004-02 Impact factor: 7.045
Authors: Matteo Cesari; Graziano Onder; Andrea Russo; Valentina Zamboni; Christian Barillaro; Luigi Ferrucci; Marco Pahor; Roberto Bernabei; Francesco Landi Journal: Gerontology Date: 2006 Impact factor: 5.140
Authors: T Rantanen; J M Guralnik; L Ferrucci; B W Penninx; S Leveille; S Sipilä; L P Fried Journal: J Am Geriatr Soc Date: 2001-01 Impact factor: 5.562
Authors: Graziano Onder; Brenda W J H Penninx; Pablo Lapuerta; Linda P Fried; Glenn V Ostir; Jack M Guralnik; Marco Pahor Journal: J Gerontol A Biol Sci Med Sci Date: 2002-05 Impact factor: 6.053
Authors: Stephanie Studenski; Subashan Perera; Dennis Wallace; Julie M Chandler; Pamela W Duncan; Earl Rooney; Michael Fox; Jack M Guralnik Journal: J Am Geriatr Soc Date: 2003-03 Impact factor: 5.562
Authors: K S Markides; S A Black; G V Ostir; R J Angel; J M Guralnik; M Lichtenstein Journal: J Gerontol A Biol Sci Med Sci Date: 2001-04 Impact factor: 6.053
Authors: Christelle Schofield; Robert U Newton; Paul A Cohen; Daniel A Galvão; Joanne A McVeigh; Ganendra R Mohan; Jason Tan; Stuart G Salfinger; Leon M Straker; Carolyn J Peddle-McIntyre Journal: Support Care Cancer Date: 2018-02-01 Impact factor: 3.603
Authors: Jamie N Justice; Matteo Cesari; Douglas R Seals; Carol A Shively; Christy S Carter Journal: J Gerontol A Biol Sci Med Sci Date: 2015-04-23 Impact factor: 6.053
Authors: H Master; T Neogi; L F Callahan; A E Nelson; M LaValley; R J Cleveland; Y M Golightly; L M Thoma; Y Zhang; D Voinier; M B Christiansen; J T Jakiela; M Nevitt; C E Lewis; L A Frey-Law; D K White Journal: Osteoarthritis Cartilage Date: 2020-08-28 Impact factor: 6.576
Authors: Eric J Roseen; Michael P LaValley; Shanshan Li; Robert B Saper; David T Felson; Lisa Fredman Journal: J Gen Intern Med Date: 2018-10-22 Impact factor: 5.128