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Gait Speed Predicts Incident Disability: A Pooled Analysis.
J Gerontol A Biol Sci Med Sci. 2016 Jan; 71(1):63-71.JG

Abstract

BACKGROUND

Functional independence with aging is an important goal for individuals and society. Simple prognostic indicators can inform health promotion and care planning, but evidence is limited by heterogeneity in measures of function.

METHODS

We performed a pooled analysis of data from seven studies of 27,220 community-dwelling older adults aged 65 or older with baseline gait speed, followed for disability and mortality. Outcomes were incident inability or dependence on another person in bathing or dressing; and difficulty walking ¼ - ½ mile or climbing 10 steps within 3 years.

RESULTS

Participants with faster baseline gait had lower rates of incident disability. In subgroups (defined by 0.2 m/s-wide intervals from <0.4 to ≥ 1.4 m/s) with increasingly greater gait speed, 3-year rates of bathing or dressing dependence trended from 10% to 1% in men, and from 15% to 1% in women, while mobility difficulty trended from 47% to 4% in men and 40% to 6% in women. The age-adjusted relative risk ratio per 0.1 m/s greater speed for bathing or dressing dependence in men was 0.68 (0.57-0.81) and in women: 0.74 (0.66-0.82); for mobility difficulty, men: 0.75 (0.68-0.82), women: 0.73 (0.67-0.80). Results were similar for combined disability and mortality. Effects were largely consistent across subgroups based on age, gender, race, body mass index, prior hospitalization, and selected chronic conditions. In the presence of multiple other risk factors for disability, gait speed significantly increased the area under the receiver operator characteristic curve.

CONCLUSION

In older adults, gait speed predicts 3 year incidence of bathing or dressing dependence, mobility difficulty, and a composite outcome of disability and mortality.

Authors+Show Affiliations

Division of Geriatric Medicine, University of Pittsburgh, Pennsylvania. ksp9@pitt.edu.Department of Anesthesiology and Pain Medicine, University of Washington, Seattle.Department of Epidemiology, University of Pittsburgh, Pennsylvania.Department of Epidemiology and Biostatistics, University of California-San Francisco.Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis.Geriatric Epidemiology Section, National Institute on Aging, Bethesda, Maryland.Division of Epidemiology and Community Health, University of Minnesota and Minneapolis VA Health Care System.Division of Endocrinology, Diabetes, and Clinical Nutrition, Oregon Health Sciences University, Portland.Research Service, Veterans Affairs Health Care System, Portland, Oregon.Department of Pharmacoepidemiology, Merck & Co., Kenilworth, New Jersey.Department of Epidemiology, University of Pittsburgh, Pennsylvania.Department of Epidemiology, University of Pittsburgh, Pennsylvania.Department of Epidemiology and Public Health, University of Maryland, College Park.Longitudinal Studies Section, National Institute on Aging, Baltimore, Maryland.Longitudinal Studies Section, National Institute on Aging, Baltimore, Maryland.

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

26297942

Citation

Perera, Subashan, et al. "Gait Speed Predicts Incident Disability: a Pooled Analysis." The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, vol. 71, no. 1, 2016, pp. 63-71.
Perera S, Patel KV, Rosano C, et al. Gait Speed Predicts Incident Disability: A Pooled Analysis. J Gerontol A Biol Sci Med Sci. 2016;71(1):63-71.
Perera, S., Patel, K. V., Rosano, C., Rubin, S. M., Satterfield, S., Harris, T., Ensrud, K., Orwoll, E., Lee, C. G., Chandler, J. M., Newman, A. B., Cauley, J. A., Guralnik, J. M., Ferrucci, L., & Studenski, S. A. (2016). Gait Speed Predicts Incident Disability: A Pooled Analysis. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 71(1), 63-71. https://doi.org/10.1093/gerona/glv126
Perera S, et al. Gait Speed Predicts Incident Disability: a Pooled Analysis. J Gerontol A Biol Sci Med Sci. 2016;71(1):63-71. PubMed PMID: 26297942.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Gait Speed Predicts Incident Disability: A Pooled Analysis. AU - Perera,Subashan, AU - Patel,Kushang V, AU - Rosano,Caterina, AU - Rubin,Susan M, AU - Satterfield,Suzanne, AU - Harris,Tamara, AU - Ensrud,Kristine, AU - Orwoll,Eric, AU - Lee,Christine G, AU - Chandler,Julie M, AU - Newman,Anne B, AU - Cauley,Jane A, AU - Guralnik,Jack M, AU - Ferrucci,Luigi, AU - Studenski,Stephanie A, Y1 - 2015/08/22/ PY - 2015/03/05/received PY - 2015/07/10/accepted PY - 2015/8/23/entrez PY - 2015/8/25/pubmed PY - 2016/4/15/medline KW - Disability KW - Gait speed KW - Mobility KW - Mortality KW - Performance SP - 63 EP - 71 JF - The journals of gerontology. Series A, Biological sciences and medical sciences JO - J Gerontol A Biol Sci Med Sci VL - 71 IS - 1 N2 - BACKGROUND: Functional independence with aging is an important goal for individuals and society. Simple prognostic indicators can inform health promotion and care planning, but evidence is limited by heterogeneity in measures of function. METHODS: We performed a pooled analysis of data from seven studies of 27,220 community-dwelling older adults aged 65 or older with baseline gait speed, followed for disability and mortality. Outcomes were incident inability or dependence on another person in bathing or dressing; and difficulty walking ¼ - ½ mile or climbing 10 steps within 3 years. RESULTS: Participants with faster baseline gait had lower rates of incident disability. In subgroups (defined by 0.2 m/s-wide intervals from <0.4 to ≥ 1.4 m/s) with increasingly greater gait speed, 3-year rates of bathing or dressing dependence trended from 10% to 1% in men, and from 15% to 1% in women, while mobility difficulty trended from 47% to 4% in men and 40% to 6% in women. The age-adjusted relative risk ratio per 0.1 m/s greater speed for bathing or dressing dependence in men was 0.68 (0.57-0.81) and in women: 0.74 (0.66-0.82); for mobility difficulty, men: 0.75 (0.68-0.82), women: 0.73 (0.67-0.80). Results were similar for combined disability and mortality. Effects were largely consistent across subgroups based on age, gender, race, body mass index, prior hospitalization, and selected chronic conditions. In the presence of multiple other risk factors for disability, gait speed significantly increased the area under the receiver operator characteristic curve. CONCLUSION: In older adults, gait speed predicts 3 year incidence of bathing or dressing dependence, mobility difficulty, and a composite outcome of disability and mortality. SN - 1758-535X UR - https://www.unboundmedicine.com/medline/citation/26297942/Gait_Speed_Predicts_Incident_Disability:_A_Pooled_Analysis_ L2 - https://academic.oup.com/biomedgerontology/article-lookup/doi/10.1093/gerona/glv126 DB - PRIME DP - Unbound Medicine ER -