Literature DB >> 27852636

A Prospective Study of Back Pain and Risk of Falls Among Older Community-dwelling Men.

Lynn M Marshall1, Stephanie Litwack-Harrison2, Una E Makris3,4, Deborah M Kado5,6, Peggy M Cawthon2, Richard A Deyo7, Nels L Carlson1, Michael C Nevitt8.   

Abstract

BACKGROUND: Musculoskeletal pain is associated with increased fall risk among older men. However, the association of back pain, the most prevalent type of pain in this population, and fall risk is unknown.
METHODS: We conducted a prospective investigation among 5,568 community-dwelling U.S. men at least 65 years of age from the Osteoporotic Fractures in Men Study (MrOS). Baseline questionnaires inquired about back pain and its location (such as low back), severity, and frequency in the past year. During 1 year of follow-up, falls were summed from self-reports obtained every 4 months. Outcomes were recurrent falls (≥2 falls) and any fall (≥1 fall). Associations of back pain and fall risk were estimated with risk ratios (RRs) and 95% confidence intervals (CIs) from multivariable log-binomial regression models adjusted for age, dizziness, arthritis, knee pain, urinary symptoms, self-rated health, central nervous system medication use, and instrumental activities of daily living.
RESULTS: Most (67%) reported any back pain in the past year. During follow-up, 11% had recurrent falls and 25% fell at least once. Compared with no back pain, any back pain was associated with elevated recurrent fall risk (multivariable RR = 1.3, 95% CI: 1.1, 1.5). Multivariable RRs for 1, 2, and 3+ back pain locations were, respectively, 1.2 (95% CI: 1.0, 1.5), 1.4 (1.1, 1.8), and 1.7 (95% CI: 1.3, 2.2). RRs were also elevated for back pain severity and frequency. Back pain was also associated with risk of any fall.
CONCLUSIONS: Among older men, back pain is independently associated with increased fall risk.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Cohort studies; Epidemiology; Public health; Risk factors

Mesh:

Year:  2017        PMID: 27852636      PMCID: PMC5861977          DOI: 10.1093/gerona/glw227

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  42 in total

1.  A risk profile for identifying community-dwelling elderly with a high risk of recurrent falling: results of a 3-year prospective study.

Authors:  S M F Pluijm; J H Smit; E A M Tromp; V S Stel; D J H Deeg; L M Bouter; P Lips
Journal:  Osteoporos Int       Date:  2006-01-17       Impact factor: 4.507

2.  Design and baseline characteristics of the osteoporotic fractures in men (MrOS) study--a large observational study of the determinants of fracture in older men.

Authors:  Eric Orwoll; Janet Babich Blank; Elizabeth Barrett-Connor; Jane Cauley; Steven Cummings; Kristine Ensrud; Cora Lewis; Peggy M Cawthon; Robert Marcus; Lynn M Marshall; Joan McGowan; Kathy Phipps; Sherry Sherman; Marcia L Stefanick; Katie Stone
Journal:  Contemp Clin Trials       Date:  2005-10       Impact factor: 2.226

3.  Overview of recruitment for the osteoporotic fractures in men study (MrOS).

Authors:  Janet Babich Blank; Peggy Mannen Cawthon; Mary Lou Carrion-Petersen; Loretta Harper; J Phillip Johnson; Eileen Mitson; Romelia Ramírez Delay
Journal:  Contemp Clin Trials       Date:  2005-10       Impact factor: 2.226

4.  Risk factors for falls among elderly persons living in the community.

Authors:  M E Tinetti; M Speechley; S F Ginter
Journal:  N Engl J Med       Date:  1988-12-29       Impact factor: 91.245

5.  Osteoarthritis and risk of falls, rates of bone loss, and osteoporotic fractures. Study of Osteoporotic Fractures Research Group.

Authors:  N K Arden; M C Nevitt; N E Lane; L R Gore; M C Hochberg; J C Scott; A R Pressman; S R Cummings
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6.  Validation of self-reported fall events in intervention studies.

Authors:  Lynette Mackenzie; Julie Byles; Catherine D'Este
Journal:  Clin Rehabil       Date:  2006-04       Impact factor: 3.477

7.  Back pain prevalence and visit rates: estimates from U.S. national surveys, 2002.

Authors:  Richard A Deyo; Sohail K Mirza; Brook I Martin
Journal:  Spine (Phila Pa 1976)       Date:  2006-11-01       Impact factor: 3.468

8.  How does low back pain impact physical function in independent, well-functioning older adults? Evidence from the Health ABC Cohort and implications for the future.

Authors:  Debra K Weiner; Catherine L Haggerty; Stephen B Kritchevsky; Tamara Harris; Eleanor M Simonsick; Michael Nevitt; Anne Newman
Journal:  Pain Med       Date:  2003-12       Impact factor: 3.750

9.  Association of back pain frequency with mortality, coronary heart events, mobility, and quality of life in elderly women.

Authors:  Kun Zhu; Amanda Devine; Ian M Dick; Richard L Prince
Journal:  Spine (Phila Pa 1976)       Date:  2007-08-15       Impact factor: 3.468

10.  Overadjustment bias and unnecessary adjustment in epidemiologic studies.

Authors:  Enrique F Schisterman; Stephen R Cole; Robert W Platt
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

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Journal:  Clin Rheumatol       Date:  2020-06-04       Impact factor: 2.980

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Authors:  Daniel G Whitney; Aviroop Dutt-Mazumder; Mark D Peterson; Chandramouli Krishnan
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4.  Lumbopelvic Pain and Threats to Walking Ability in Well-Functioning Older Adults: Findings from the Baltimore Longitudinal Study of Aging.

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Authors:  Victoria K Welsh; Lorna E Clarson; Christian D Mallen; John McBeth
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6.  Prevalence of low back pain in the elderly population: a systematic review.

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Journal:  Clinics (Sao Paulo)       Date:  2019-10-28       Impact factor: 2.365

7.  Higher Fatigue Prospectively Increases the Risk of Falls in Older Men.

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8.  Hip osteoarthritis signs and symptoms are associated with increased fall risk among community-dwelling older adults with chronic low back pain: a prospective study.

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10.  Changes in Trunk Variability and Stability of Gait in Patients with Chronic Low Back Pain: Impact of Laboratory versus Daily-Living Environments.

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