OBJECTIVES: To examine the prevalence of and clinical markers associated with mobility limitations in Medicare Current Beneficiary Community Survey (MCBS) respondents. DESIGN: Cross-sectional analysis of a community survey. SETTING: Community. PARTICIPANTS: Twelve thousand seven hundred sixty-nine respondents from the 2001 MCBS, aged 65 and older. MEASUREMENTS: Four questions from the MCBS were used to create four levels of mobility limitation: none, mild, moderate, and severe. Sampling weights were used to calculate estimates of means and proportions of the entire Medicare population for each mobility limitation category. A polytomous logistic regression analysis was used to model the association between four levels of mobility limitation and sociodemographic and clinical variables. RESULTS: Prevalence of mobility limitations ranged from 9.5 million (mild) to 1.2 million (severe). Increasing severity of mobility limitation was associated with older age, being female, reporting fair or poor health, being overweight, smoking, having a greater number of comorbidities, having an annual income below $25,000, having less than a high school education, being unmarried, and living with others. CONCLUSION: National prevalence estimates suggest that functional mobility limitation is a significant problem for many older adults and is associated with some potentially modifiable characteristics.
OBJECTIVES: To examine the prevalence of and clinical markers associated with mobility limitations in Medicare Current Beneficiary Community Survey (MCBS) respondents. DESIGN: Cross-sectional analysis of a community survey. SETTING: Community. PARTICIPANTS: Twelve thousand seven hundred sixty-nine respondents from the 2001 MCBS, aged 65 and older. MEASUREMENTS: Four questions from the MCBS were used to create four levels of mobility limitation: none, mild, moderate, and severe. Sampling weights were used to calculate estimates of means and proportions of the entire Medicare population for each mobility limitation category. A polytomous logistic regression analysis was used to model the association between four levels of mobility limitation and sociodemographic and clinical variables. RESULTS: Prevalence of mobility limitations ranged from 9.5 million (mild) to 1.2 million (severe). Increasing severity of mobility limitation was associated with older age, being female, reporting fair or poor health, being overweight, smoking, having a greater number of comorbidities, having an annual income below $25,000, having less than a high school education, being unmarried, and living with others. CONCLUSION: National prevalence estimates suggest that functional mobility limitation is a significant problem for many older adults and is associated with some potentially modifiable characteristics.
Authors: Timo Hinrichs; Veronika Lay; Ursina Arnet; Inge Eriks-Hoogland; Hans Georg Koch; Taina Rantanen; Jan D Reinhardt; Martin W G Brinkhof Journal: J Spinal Cord Med Date: 2016-03-08 Impact factor: 1.985
Authors: Marcia A Ciol; Anne Shumway-Cook; Jeanne M Hoffman; Kathryn M Yorkston; Brian J Dudgeon; Leighton Chan Journal: J Am Geriatr Soc Date: 2008-01-02 Impact factor: 5.562
Authors: Mark A Espeland; Thomas M Gill; Jack Guralnik; Michael E Miller; Roger Fielding; Anne B Newman; Marco Pahor Journal: J Gerontol A Biol Sci Med Sci Date: 2007-11 Impact factor: 6.053
Authors: Jason Fanning; W Jack Rejeski; Shyh-Huei Chen; Barbara J Nicklas; Michael P Walkup; Robert S Axtell; Roger A Fielding; Nancy W Glynn; Abby C King; Todd M Manini; Mary M McDermott; Anne B Newman; Marco Pahor; Catrine Tudor-Locke; Michael E Miller Journal: J Gerontol A Biol Sci Med Sci Date: 2019-10-04 Impact factor: 6.053
Authors: Cynthia J Brown; David L Roth; Richard M Allman; Patricia Sawyer; Christine S Ritchie; Jeffrey M Roseman Journal: Ann Intern Med Date: 2009-03-17 Impact factor: 25.391
Authors: G A R Zijlstra; G H M B van Rens; E J A Scherder; D M Brouwer; J van der Velde; P F J Verstraten; G I J M Kempen Journal: BMC Health Serv Res Date: 2009-08-27 Impact factor: 2.655