Literature DB >> 12757573

Is a fall just a fall: correlates of falling in healthy older persons. The Health, Aging and Body Composition Study.

Nathalie de Rekeneire1, Marjolein Visser, Rita Peila, Michael C Nevitt, Jane A Cauley, Frances A Tylavsky, Eleanor M Simonsick, Tamara B Harris.   

Abstract

OBJECTIVES: To identify factors associated with falling in well-functioning older people.
DESIGN: Cross-sectional analyses of report of falls over the past 12 months using baseline data from the Health, Aging and Body Composition Study.
SETTING: Clinic examinations in Pittsburgh, Pennsylvania, or Memphis, Tennessee. PARTICIPANTS: Three thousand seventy-five high-functioning black and white elderly aged 70 to 79 living in the community. MEASUREMENTS: Physical function assessed using self-report and performance measures. Health status indicators included diseases, medication use, and body composition measures.
RESULTS: Almost one-quarter (24.1%) of women and 18.3% of men reported at least one fall within the year before the baseline examination. Fallers were more likely to be female; white; report more chronic diseases and medications; and have lower leg strength, poorer balance, slower 400-meter walk time, and lower muscle mass. In men, multivariate logistic regression models showed white race (adjusted odds ratio (OR) = 1.4, 95% confidence interval (CI) = 1.2-1.6), slower 6-meter walk speed (OR = 1.1, 95% CI = 1.0-1.3), poor standing balance (OR = 1.2, 95% CI = 1.0-1.4), inability to do 5 chair stands (OR = 1.7, 95% CI = 1.3-1.9), report of urinary incontinence (UI) (OR = 1.5, 95% CI = 1.1-2.0), and mid-quintile of leg muscle strength (OR = 0.6, 95% CI = 0.4-0.9) to be independently associated with report of falling. In women, benzodiazepine use (OR = 1.6, 95% CI = 1.0-2.6), UI (OR = 1.5, 95% CI = 1.2-1.9), and reported difficulty in rising from a chair (OR = 1.4, 95% CI = 1.2-1.6) were associated with past falls.
CONCLUSION: Falls history needs to be screened in healthier older adults. Even for well-functioning older persons, specific correlates of falling can be identified to define those at risk.

Entities:  

Mesh:

Year:  2003        PMID: 12757573     DOI: 10.1046/j.1365-2389.2003.51267.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  91 in total

1.  Demographic and socioeconomic status differences in perceptions of difficulty with mobility in late life.

Authors:  Jennifer C Cornman; Dana Glei; Germán Rodríguez; Noreen Goldman; Baai-Shyun Hurng; Maxine Weinstein
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2010-11-22       Impact factor: 4.077

2.  Antihypertensive Use and Recurrent Falls in Community-Dwelling Older Adults: Findings From the Health ABC Study.

Authors:  Zachary A Marcum; Subashan Perera; Anne B Newman; Joshua M Thorpe; Galen E Switzer; Shelly L Gray; Eleanor M Simonsick; Ronald I Shorr; Douglas C Bauer; Nicholas G Castle; Stephanie A Studenski; Joseph T Hanlon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-11       Impact factor: 6.053

3.  Inferior physical performance test results of 10,998 men in the MrOS Study is associated with high fracture risk.

Authors:  Björn E Rosengren; Eva L Ribom; Jan-Åke Nilsson; Hans Mallmin; Osten Ljunggren; Claes Ohlsson; Dan Mellström; Mattias Lorentzon; Marcia Stefanick; Jodi Lapidus; Ping Chung Leung; Anthony Kwok; Elizabeth Barrett-Connor; Eric Orwoll; Magnus K Karlsson
Journal:  Age Ageing       Date:  2012-02-06       Impact factor: 10.668

4.  Living alone and fall risk factors in community-dwelling middle age and older adults.

Authors:  Sharon Elliott; Jane Painter; Suzanne Hudson
Journal:  J Community Health       Date:  2009-08

Review 5.  Assessing walking speed in clinical research: a systematic review.

Authors:  James E Graham; Glenn V Ostir; Steven R Fisher; Kenneth J Ottenbacher
Journal:  J Eval Clin Pract       Date:  2008-05-02       Impact factor: 2.431

Review 6.  Relationship between test methodology and mean velocity in timed walk tests: a review.

Authors:  James E Graham; Glenn V Ostir; Yong-Fang Kuo; Steven R Fisher; Kenneth J Ottenbacher
Journal:  Arch Phys Med Rehabil       Date:  2008-05       Impact factor: 3.966

7.  Changes in Lean Mass and Serum Myostatin with Habitual Protein Intake and High-Velocity Resistance Training.

Authors:  A Binns; M Gray; A C Henson; I L Fort
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

8.  The circumstances, orientations, and impact locations of falls in community-dwelling older women.

Authors:  Jeremy R Crenshaw; Kathie A Bernhardt; Sara J Achenbach; Elizabeth J Atkinson; Sundeep Khosla; Kenton R Kaufman; Shreyasee Amin
Journal:  Arch Gerontol Geriatr       Date:  2017-07-21       Impact factor: 3.250

Review 9.  Aging and muscle: a neuron's perspective.

Authors:  Todd M Manini; S Lee Hong; Brian C Clark
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2013-01       Impact factor: 4.294

10.  Gender and Age Differences in Hip Fracture Types among Elderly: a Retrospective Cohort Study.

Authors:  Kalliopi Alpantaki; Chrysoula Papadaki; Konstantinos Raptis; Konstantinos Dretakis; George Samonis; Christos Koutserimpas
Journal:  Maedica (Bucur)       Date:  2020-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.