Performance Measures Predict Onset of Activity of Daily Living Difficulty in Community-Dwelling Older Adults
OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs). DESIGN: A prospective cohort study; home visits every 6 months for 18 months. SETTING: Community‐based. PARTICIPANTS: Community‐dwelling older adults, n=110...
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Published in | Journal of the American Geriatrics Society (JAGS) Vol. 58; no. 5; pp. 844 - 852 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.05.2010
Wiley-Blackwell Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Abstract | OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs).
DESIGN: A prospective cohort study; home visits every 6 months for 18 months.
SETTING: Community‐based.
PARTICIPANTS: Community‐dwelling older adults, n=110, (mean age 80.3±7.0; range 67–98) who reported no difficulty in basic ADLs.
MEASUREMENTS: The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self‐report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months.
RESULTS: After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18‐month period (6 months, c‐statistic=0.725, (95% confidence interval (CI)=0.60–0.85; 12 months, c‐statistic=0.840 95% CI=0.75, 0.93; 18 months, c‐statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety‐five, 89, and 75 older adults completed the 6, 12, and 18‐month follow‐up visits, respectively.
CONCLUSION: BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18‐month period in community‐dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. |
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AbstractList | OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs).
DESIGN: A prospective cohort study; home visits every 6 months for 18 months.
SETTING: Community‐based.
PARTICIPANTS: Community‐dwelling older adults, n=110, (mean age 80.3±7.0; range 67–98) who reported no difficulty in basic ADLs.
MEASUREMENTS: The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self‐report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months.
RESULTS: After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18‐month period (6 months, c‐statistic=0.725, (95% confidence interval (CI)=0.60–0.85; 12 months, c‐statistic=0.840 95% CI=0.75, 0.93; 18 months, c‐statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety‐five, 89, and 75 older adults completed the 6, 12, and 18‐month follow‐up visits, respectively.
CONCLUSION: BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18‐month period in community‐dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs). A prospective cohort study; home visits every 6 months for 18 months. Community-based. Community-dwelling older adults, n=110, (mean age 80.3±7.0; range 67-98) who reported no difficulty in basic ADLs. The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self-report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months. After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18-month period (6 months, c -statistic=0.725, (95% confidence interval (CI)=0.60-0.85; 12 months, c -statistic=0.840 95% CI=0.75, 0.93; 18 months, c -statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety-five, 89, and 75 older adults completed the 6, 12, and 18-month follow-up visits, respectively. BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18-month period in community-dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. [PUBLICATION ABSTRACT] OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs). DESIGN: A prospective cohort study; home visits every 6 months for 18 months. SETTING: Community‐based. PARTICIPANTS: Community‐dwelling older adults, n=110, (mean age 80.3±7.0; range 67–98) who reported no difficulty in basic ADLs. MEASUREMENTS: The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self‐report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months. RESULTS: After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18‐month period (6 months, c ‐statistic=0.725, (95% confidence interval (CI)=0.60–0.85; 12 months, c ‐statistic=0.840 95% CI=0.75, 0.93; 18 months, c ‐statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety‐five, 89, and 75 older adults completed the 6, 12, and 18‐month follow‐up visits, respectively. CONCLUSION: BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18‐month period in community‐dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs). A prospective cohort study; home visits every 6 months for 18 months. Community-based. Community-dwelling older adults, n=110, (mean age 80.3+/-7.0; range 67-98) who reported no difficulty in basic ADLs. The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self-report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months. After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18-month period (6 months, c-statistic=0.725, (95% confidence interval (CI)=0.60-0.85; 12 months, c-statistic=0.840 95% CI=0.75, 0.93; 18 months, c-statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety-five, 89, and 75 older adults completed the 6, 12, and 18-month follow-up visits, respectively. BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18-month period in community-dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs).OBJECTIVESTo assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs).A prospective cohort study; home visits every 6 months for 18 months.DESIGNA prospective cohort study; home visits every 6 months for 18 months.Community-based.SETTINGCommunity-based.Community-dwelling older adults, n=110, (mean age 80.3+/-7.0; range 67-98) who reported no difficulty in basic ADLs.PARTICIPANTSCommunity-dwelling older adults, n=110, (mean age 80.3+/-7.0; range 67-98) who reported no difficulty in basic ADLs.The Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self-report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months.MEASUREMENTSThe Short Physical Performance Battery (SPPB), gait speed, Berg Balance Scale (BBS), grip strength, and Timed Up and Go Test (TUG) were evaluated at baseline. Seven ADL items were assessed at baseline and 6, 12, and 18 months. The onset of ADL disability was self-report of difficulty in any of the seven ADL items. Logistic regression models were fitted for each of the physical performance measures to predict onset of ADL difficulty at 6, 12, and 18 months.After controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18-month period (6 months, c-statistic=0.725, (95% confidence interval (CI)=0.60-0.85; 12 months, c-statistic=0.840 95% CI=0.75, 0.93; 18 months, c-statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety-five, 89, and 75 older adults completed the 6, 12, and 18-month follow-up visits, respectively.RESULTSAfter controlling for age, comorbid conditions, and sex, the BBS was the most consistent and best predictor for the onset of ADL difficulty over an 18-month period (6 months, c-statistic=0.725, (95% confidence interval (CI)=0.60-0.85; 12 months, c-statistic=0.840 95% CI=0.75, 0.93; 18 months, c-statistic=0.821, 95% CI=0.71, 0.93). The SPPB showed excellent predictive value for the onset of difficulty at 12 months. Ninety-five, 89, and 75 older adults completed the 6, 12, and 18-month follow-up visits, respectively.BBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18-month period in community-dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline.CONCLUSIONBBS, followed by SPPB, TUG, gait speed, and grip strength, were predictive of the onset of ADL difficulty over an 18-month period in community-dwelling older adults. Screening nondisabled older adults with simple performance tests could allow clinicians to identify those at risk for ADL difficulty and may help to detect early functional decline. |
Author | Perera, Subashan VanSwearingen, Jessie Studenski, Stephanie Wennie Huang, Wen-Ni |
Author_xml | – sequence: 1 givenname: Wen-Ni surname: Wennie Huang fullname: Wennie Huang, Wen-Ni organization: From theDepartment of Physical Therapy, I-Shou University, Kaohsiung, Taiwan; and †Division of Geriatric Medicine and Departments of‡Biostatistics and §Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania – sequence: 2 givenname: Subashan surname: Perera fullname: Perera, Subashan organization: From theDepartment of Physical Therapy, I-Shou University, Kaohsiung, Taiwan; and †Division of Geriatric Medicine and Departments of‡Biostatistics and §Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania – sequence: 3 givenname: Jessie surname: VanSwearingen fullname: VanSwearingen, Jessie organization: From theDepartment of Physical Therapy, I-Shou University, Kaohsiung, Taiwan; and †Division of Geriatric Medicine and Departments of‡Biostatistics and §Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania – sequence: 4 givenname: Stephanie surname: Studenski fullname: Studenski, Stephanie organization: From theDepartment of Physical Therapy, I-Shou University, Kaohsiung, Taiwan; and †Division of Geriatric Medicine and Departments of‡Biostatistics and §Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22834156$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/20406319$$D View this record in MEDLINE/PubMed |
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References | Paltamaa J, Sarasoja T, Leskinen E et al. Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis. Arch Phys Med Rehabil 2007;88:1649-1657. Gill TM, Allore H, Holford TR et al. The development of insidious disability in activities of daily living among community-living older persons. Am J Med 2004;117:484-491. Gill TM, Richardson ED, Tinetti ME et al. Evaluating the risk of dependence in activities of daily living among community-living older adults with mild to moderate cognitive impairment. J Gerontol A Biol Sci Med Sci 1995;50A:M235-M241. Qutubuddin AA, Pegg PO, Cifu DX et al. Validating the Berg Balance Scale for patients with Parkinson's disease: A key to rehabilitation evaluation. Arch Phys Med Rehabil 2005;86:789-792. Sarkisian CA, Liu HP, Gutierrez PRMS et al. Modifiable risk factors predict functional decline among older women: A prospectively validated clinical prediction tool. J Am Geriatr Soc 2000;48:170-178. Tager IB, Swanson A, Satariano WA. Reliability of physical performance and self-reported functional measures in an older population. J Gerontol A Biol Sci Med Sci 1998;53A:M295-M300. Rigler SK, Studenski S, Wallace D et al. Co-morbidity adjustment for functional outcomes in community-dwelling older adults. Clin Rehabil 2002;16:420-428. Feld JA, Rabadi MH, Blau AD et al. Berg balance scale and outcome measures in acquired brain injury. Neurorehabil Neural Repair 2001;15:239-244. Rantanen T, Guralnik JM, Foley D et al. Midlife hand grip strength as a predictor of old age disability. JAMA 1999;281:558-560. Harada N, Chiu V, Damron-Rodriguez J et al. Screening for balance and mobility impairment in elderly individuals living in residential care facilities. Phys Ther 1995;75:462-469. Berg KO, Maki BE, Williams JI et al. Clinical and laboratory measures of postural balance in an elderly population. Arch Phys Med Rehabil 1992;73:1073-1080. Laditka SB, Jenkins CL. Difficulty or dependency? Effects of measurement scales on disability prevalence among older Americans. J Health Soc Policy 2001;13:1-15. Jette AM. How measurement techniques influence estimates of disability in older populations. Soc Sci Med 1994;38:937-942. Studenski S, Perera S, Wallace D et al. Physical performance measures in the clinical setting. J Am Geriatr Soc 2003;51:314-322. Berg KO, Wood-Dauphinee SL, Williams JI et al. Measuring balance in the elderly: Validation of an instrument. Can J Public Health 1992;83 (Suppl 2):S7-S11. Shinkai S, Watanabe S, Kumagai S et al. Walking speed as a good predictor for the onset of functional dependence in a Japanese rural community population. Age Ageing 2000;29:441-446. Studenski S, Hayes RP, Leibowitz RQ et al. Clinical global impression of change in physical frailty: Development of a measure based on clinical judgment. J Am Geriatr Soc 2004;52:1560-1566. Anstey KJ, Smith GA, Lord S. Test-retest reliability of a battery of sensory motor and physiological measures of aging. Percept Mot Skills 1997;84:831-834. Hosmer DW, Lemeshow S. Applied Logistic Regression, 2nd ed. New York: John Wiley & Sons, Inc., 2000. Berg KO, Wood-Dauphinee S, Williams JL et al. Measuring balance in the elderly: Preliminary development of an instrument. Physiother Can 1989;41:304-311. Guralnik JM, Ferrucci L, Simonsick EM et al. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med 1995;332:556-561. Peng C-YJ, Lee KL, Ingersoll GM. An introduction to logistic regression analysis and reporting. J Educ Res 2002;96:3-14. Carriere I, Colvez A, Favier F et al. Hierarchical components of physical frailty predicted incidence of dependency in a cohort of elderly women. J Clin Epidemiol 2005;58:1180-1187. Katz S, Ford AB, Moskowitz RW et al. Studies of illness in the aged. The Index of ADL: A standardized measure of biological and psychosocial function. JAMA 1963;185:914-919. Giampaoli S, Ferrucci L, Cecchi F et al. Hand-grip strength predicts incident disability in non-disabled older men. Age Ageing 1999;28:283-288. Podsiadlo D, Richardson S, Podsiadlo D et al. The Timed "Up & Go": A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991;39:142-148. Gill TM, Williams CS, Tinetti ME et al. Assessing risk for the onset of functional dependence among older adults: The role of physical performance. J Am Geriatr Soc 1995;43:603-609. Al Snih S, Markides KS, Ostir GV et al. Predictors of recovery in activities of daily living among disabled older Mexican Americans. Aging Clin 2003;15:315-320. Stuck AE, Walthert JM, Nikolaus T et al. Risk factors for functional status decline in community-living elderly people: A systematic literature review. Soc Sci Med 1999;48:445-469. Mathias S, Nayak US, Isaacs B et al. Balance in elderly patients: The "get-up and go" test. Arch Phys Med Rehabil 1986;67:387-389. Jette AM, Jette DU, Ng J et al. Are performance-based measures sufficiently reliable for use in multicenter trials? Musculoskeletal Impairment (MSI) Study Group. J Gerontol A Biol Sci Med Sci 1999;54A:M3-M6. Guralnik JM, Ferrucci L, Pieper CF et al. Lower extremity function and subsequent disability: Consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci 2000;55A:M221-M231. Guralnik JM, Simonsick EM, Ferrucci L et al. A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 1994;49:M85-M94. Fitti JE, Kovar MG. The Supplement on Aging to the 1984 National Health Interview Survey (DDHS Pub No. PHS 87-1323). Washington, DC: U.S. Government Printing Office, 1987. Ishizaki T, Watanabe S, Suzuki T et al. Predictors for functional decline among nondisabled older Japanese living in a community during a 3-year follow-up. J Am Geriatr Soc 2000;48:1424-1429. 2002; 16 1995; 75 1989; 41 2000; 29 1997; 84 1991; 39 2000; 55A 1999; 54A 2002; 96 2000; 48 1998; 53A 1999; 28 1999; 48 2005; 86 2003; 15 1994; 49 1995; 332 1992 2003; 51 1992; 73 1995; 50A 2004; 52 1963; 185 2000 1999; 281 1986; 67 1995; 43 1987 2001; 15 1994; 38 2007; 88 2001; 13 2004; 117 1992; 83 2005; 58 e_1_2_7_3_2 e_1_2_7_2_2 e_1_2_7_8_2 e_1_2_7_7_2 e_1_2_7_6_2 e_1_2_7_17_2 Podsiadlo D (e_1_2_7_18_2) 1991; 39 e_1_2_7_15_2 e_1_2_7_13_2 Berg KO (e_1_2_7_14_2) 1992; 83 Guralnik JM (e_1_2_7_16_2) 1994; 49 e_1_2_7_12_2 e_1_2_7_11_2 Mathias S (e_1_2_7_35_2) 1986; 67 e_1_2_7_26_2 Fitti JE (e_1_2_7_25_2) 1987 e_1_2_7_27_2 e_1_2_7_28_2 Sarkisian CA (e_1_2_7_9_2) 2000; 48 Berg KO (e_1_2_7_29_2) 1992; 73 Fess FE. (e_1_2_7_33_2) 1992 Guralnik JM (e_1_2_7_10_2) 2000; 55 Katz S (e_1_2_7_24_2) 1963; 185 e_1_2_7_23_2 e_1_2_7_31_2 e_1_2_7_32_2 e_1_2_7_21_2 e_1_2_7_20_2 e_1_2_7_34_2 Stuck AE (e_1_2_7_4_2) 1999; 48 Berg KO (e_1_2_7_30_2) 1989; 41 e_1_2_7_36_2 e_1_2_7_37_2 e_1_2_7_38_2 Studenski S (e_1_2_7_22_2) 2004; 52 Qutubuddin AA (e_1_2_7_19_2) 2005; 86 Gill TM (e_1_2_7_5_2) 1995; 43 |
References_xml | – reference: Mathias S, Nayak US, Isaacs B et al. Balance in elderly patients: The "get-up and go" test. Arch Phys Med Rehabil 1986;67:387-389. – reference: Stuck AE, Walthert JM, Nikolaus T et al. Risk factors for functional status decline in community-living elderly people: A systematic literature review. Soc Sci Med 1999;48:445-469. – reference: Studenski S, Perera S, Wallace D et al. Physical performance measures in the clinical setting. J Am Geriatr Soc 2003;51:314-322. – reference: Peng C-YJ, Lee KL, Ingersoll GM. An introduction to logistic regression analysis and reporting. J Educ Res 2002;96:3-14. – reference: Anstey KJ, Smith GA, Lord S. Test-retest reliability of a battery of sensory motor and physiological measures of aging. Percept Mot Skills 1997;84:831-834. – reference: Carriere I, Colvez A, Favier F et al. Hierarchical components of physical frailty predicted incidence of dependency in a cohort of elderly women. J Clin Epidemiol 2005;58:1180-1187. – reference: Al Snih S, Markides KS, Ostir GV et al. Predictors of recovery in activities of daily living among disabled older Mexican Americans. Aging Clin 2003;15:315-320. – reference: Sarkisian CA, Liu HP, Gutierrez PRMS et al. Modifiable risk factors predict functional decline among older women: A prospectively validated clinical prediction tool. J Am Geriatr Soc 2000;48:170-178. – reference: Gill TM, Richardson ED, Tinetti ME et al. Evaluating the risk of dependence in activities of daily living among community-living older adults with mild to moderate cognitive impairment. J Gerontol A Biol Sci Med Sci 1995;50A:M235-M241. – reference: Rantanen T, Guralnik JM, Foley D et al. Midlife hand grip strength as a predictor of old age disability. JAMA 1999;281:558-560. – reference: Berg KO, Wood-Dauphinee S, Williams JL et al. Measuring balance in the elderly: Preliminary development of an instrument. Physiother Can 1989;41:304-311. – reference: Guralnik JM, Simonsick EM, Ferrucci L et al. A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 1994;49:M85-M94. – reference: Rigler SK, Studenski S, Wallace D et al. Co-morbidity adjustment for functional outcomes in community-dwelling older adults. Clin Rehabil 2002;16:420-428. – reference: Giampaoli S, Ferrucci L, Cecchi F et al. Hand-grip strength predicts incident disability in non-disabled older men. Age Ageing 1999;28:283-288. – reference: Berg KO, Wood-Dauphinee SL, Williams JI et al. Measuring balance in the elderly: Validation of an instrument. Can J Public Health 1992;83 (Suppl 2):S7-S11. – reference: Jette AM, Jette DU, Ng J et al. Are performance-based measures sufficiently reliable for use in multicenter trials? Musculoskeletal Impairment (MSI) Study Group. J Gerontol A Biol Sci Med Sci 1999;54A:M3-M6. – reference: Katz S, Ford AB, Moskowitz RW et al. Studies of illness in the aged. The Index of ADL: A standardized measure of biological and psychosocial function. JAMA 1963;185:914-919. – reference: Studenski S, Hayes RP, Leibowitz RQ et al. Clinical global impression of change in physical frailty: Development of a measure based on clinical judgment. J Am Geriatr Soc 2004;52:1560-1566. – reference: Berg KO, Maki BE, Williams JI et al. Clinical and laboratory measures of postural balance in an elderly population. Arch Phys Med Rehabil 1992;73:1073-1080. – reference: Harada N, Chiu V, Damron-Rodriguez J et al. Screening for balance and mobility impairment in elderly individuals living in residential care facilities. Phys Ther 1995;75:462-469. – reference: Jette AM. How measurement techniques influence estimates of disability in older populations. Soc Sci Med 1994;38:937-942. – reference: Qutubuddin AA, Pegg PO, Cifu DX et al. Validating the Berg Balance Scale for patients with Parkinson's disease: A key to rehabilitation evaluation. Arch Phys Med Rehabil 2005;86:789-792. – reference: Fitti JE, Kovar MG. The Supplement on Aging to the 1984 National Health Interview Survey (DDHS Pub No. PHS 87-1323). Washington, DC: U.S. Government Printing Office, 1987. – reference: Paltamaa J, Sarasoja T, Leskinen E et al. Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis. Arch Phys Med Rehabil 2007;88:1649-1657. – reference: Gill TM, Allore H, Holford TR et al. The development of insidious disability in activities of daily living among community-living older persons. Am J Med 2004;117:484-491. – reference: Gill TM, Williams CS, Tinetti ME et al. Assessing risk for the onset of functional dependence among older adults: The role of physical performance. J Am Geriatr Soc 1995;43:603-609. – reference: Guralnik JM, Ferrucci L, Pieper CF et al. Lower extremity function and subsequent disability: Consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci 2000;55A:M221-M231. – reference: Guralnik JM, Ferrucci L, Simonsick EM et al. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med 1995;332:556-561. – reference: Feld JA, Rabadi MH, Blau AD et al. Berg balance scale and outcome measures in acquired brain injury. Neurorehabil Neural Repair 2001;15:239-244. – reference: Hosmer DW, Lemeshow S. Applied Logistic Regression, 2nd ed. New York: John Wiley & Sons, Inc., 2000. – reference: Laditka SB, Jenkins CL. Difficulty or dependency? Effects of measurement scales on disability prevalence among older Americans. 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Snippet | OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs).
DESIGN: A... OBJECTIVES: To assess the predictive value of five performance‐based measures for the onset of difficulty in activities of daily living (ADLs). DESIGN: A... To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs). A prospective cohort study;... To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs). A prospective cohort study;... To assess the predictive value of five performance-based measures for the onset of difficulty in activities of daily living (ADLs).OBJECTIVESTo assess the... |
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SubjectTerms | Activities of Daily Living Aged Aged, 80 and over Berg balance scale Biological and medical sciences Cohort Studies Comorbidity Disability Female Gait gait speed General aspects Hand Strength Human mechanics Humans Independent Living Male Medical sciences Medical screening Miscellaneous Mobility Movement - physiology Older people physical performance measure Postural Balance Predictions Prospective Studies Public health. Hygiene Public health. Hygiene-occupational medicine Regression Analysis Sex Factors Short Physical Performance Battery |
Title | Performance Measures Predict Onset of Activity of Daily Living Difficulty in Community-Dwelling Older Adults |
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