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SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes

2015; Springer Science+Business Media; Volume: 7; Issue: 1 Linguagem: Inglês

10.1002/jcsm.12048

2190-6009

Theodore K. Malmstrom, Douglas K. Miller, Eleanor M. Simonsick, Luigi Ferrucci, John E. Morley,

Cerebral Palsy and Movement Disorders

Journal of Cachexia, Sarcopenia and MuscleVolume 7, Issue 1 p. 28-36 Original ArticleOpen Access SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes Theodore K. Malmstrom, Corresponding Author Theodore K. Malmstrom malmsttk@slu.edu Department of Neurology & Psychiatry, Saint Louis University School of Medicine, St. Louis, MO, 63104 USA Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104 USACorrespondence to: Theodore K. Malmstrom, Department of Neurology & Psychiatry, School of Medicine, Saint Louis University, 1438 South Grand Boulevard, St. Louis, MO 63104, USA, Tel: 314-977-4814, Fax: 314-977-4879, Email: malmsttk@slu.eduSearch for more papers by this authorDouglas K. Miller, Douglas K. Miller Regenstrief Institute, Inc. and Center for Aging Research, Indiana University School of Medicine, Indianapolis, IN, 46202 USASearch for more papers by this authorEleanor M. Simonsick, Eleanor M. Simonsick National Institute on Aging, Translational Gerontology Branch, Biomedical Research Center, Baltimore, MD, 21224 USASearch for more papers by this authorLuigi Ferrucci, Luigi Ferrucci National Institute on Aging, Translational Gerontology Branch, Biomedical Research Center, Baltimore, MD, 21224 USASearch for more papers by this authorJohn E. Morley, John E. Morley Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104 USASearch for more papers by this author Theodore K. Malmstrom, Corresponding Author Theodore K. Malmstrom malmsttk@slu.edu Department of Neurology & Psychiatry, Saint Louis University School of Medicine, St. Louis, MO, 63104 USA Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104 USACorrespondence to: Theodore K. Malmstrom, Department of Neurology & Psychiatry, School of Medicine, Saint Louis University, 1438 South Grand Boulevard, St. Louis, MO 63104, USA, Tel: 314-977-4814, Fax: 314-977-4879, Email: malmsttk@slu.eduSearch for more papers by this authorDouglas K. Miller, Douglas K. Miller Regenstrief Institute, Inc. and Center for Aging Research, Indiana University School of Medicine, Indianapolis, IN, 46202 USASearch for more papers by this authorEleanor M. Simonsick, Eleanor M. Simonsick National Institute on Aging, Translational Gerontology Branch, Biomedical Research Center, Baltimore, MD, 21224 USASearch for more papers by this authorLuigi Ferrucci, Luigi Ferrucci National Institute on Aging, Translational Gerontology Branch, Biomedical Research Center, Baltimore, MD, 21224 USASearch for more papers by this authorJohn E. Morley, John E. Morley Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104 USASearch for more papers by this author First published: 07 July 2015 https://doi.org/10.1002/jcsm.12048Citations: 407 The copyright line for this artcle was changed on October 13, 2016 after original online publication. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Background A brief, inexpensive screening test for sarcopenia would be helpful for clinicians and their patients. To screen for persons with sarcopenia, we developed a simple five-item questionnaire (SARC-F) based on cardinal features or consequences of sarcopenia. Methods We investigated the utility of SARC-F in the African American Health (AAH) study, Baltimore Longitudinal Study of Aging (BLSA), and National Health and Nutrition Examination Survey (NHANES). Internal consistency reliability for SARC-F was determined using Cronbach's alpha. We evaluated SARC-F factorial validity using principal components analysis and criterion validity by examining its association with exam-based indicators of sarcopenia. Construct validity was examined using cross-sectional and longitudinal differences among those with high (≥4) vs. low (<4) SARC-F scores for mortality and health outcomes. Results SARC-F exhibited good internal consistency reliability and factorial, criterion, and construct validity. AAH participants with SARC-F scores ≥ 4 had more Instrumental Activity of Daily Living (IADL) deficits, slower chair stand times, lower grip strength, lower short physical performance battery scores, and a higher likelihood of recent hospitalization and of having a gait speed of <0.8 m/s. SARC-F scores ≥ 4 in AAH also were associated with 6 year IADL deficits, slower chair stand times, lower short physical performance battery scores, having a gait speed of <0.8 m/s, being hospitalized recently, and mortality. SARC-F scores ≥ 4 in the BLSA cohort were associated with having more IADL deficits and lower grip strength (both hands) in cross-sectional comparisons and with IADL deficits, lower grip strength (both hands), and mortality at follow-up. NHANES participants with SARC-F scores ≥ 4 had slower 20 ft walk times, had lower peak force knee extensor strength, and were more likely to have been hospitalized recently in cross-sectional analyses. Conclusions The SARC-F proved internally consistent and valid for detecting persons at risk for adverse outcomes from sarcopenia in AAH, BLSA, and NHANES. Introduction Sarcopenia was originally defined as age-related loss of muscle mass.1, 2 Recently, a number of definitions of sarcopenia have been suggested that include a functional measure (e.g. limited mobility) together with appendicular lean mass corrected for height.3-5 Others have argued that muscle strength or power is a more appropriate addition to loss of muscle mass or that a new term dynapenia (poverty of muscle strength/power) should be used separately from sarcopenia, which then would be reserved solely for poverty of muscle mass.6-8 Regardless of definitional refinements, sarcopenia measured in several different ways has been associated with multiple adverse outcomes.3-5 No easily applied sarcopenia measure currently exists for use in usual clinical settings. In the osteoporosis field, it has been demonstrated that a simple questionnaire (FRAX) can predict persons with elevated risk of osteoporotic fracture without the requirement of measuring bone mineral density (BMD).9, 10 As loss of muscle mass, unlike loss of bone, has a clear clinical symptom, that is, weakness, it should be possible to create a simple symptom score that will predict both sarcopenia and poor outcomes in persons with sarcopenia. Our group has been conducting a panel study of community-dwelling, late middle-aged African Americans who were 49–65 years of age at cohort initiation in 2000–01, have high levels of disability,11, 12 and are known collectively as the African American Health (AAH) cohort. Previously, we have shown in this cohort that the increase in disability over 9 years can be predicted in those with limited mobility and low lean mass,13 but this measure requires in-person and laboratory assessments. The Baltimore Longitudinal Study of Aging (BLSA) and National Health and Nutrition Examination Survey (NHANES) cohorts also include data that can be utilized to examine sarcopenia. In this study, we examine the validity of a simple clinical symptom index (SARC-F)14 to screen for sarcopenia/dynapenia and to identify those at risk for sarcopenia-related adverse outcomes in AAH, BLSA, and NHANES. Materials and methods Study sample The AAH project sampling and recruitment procedures have been described elsewhere.12 In brief, AAH is a population-based longitudinal study of 998 African Americans from St. Louis, MO. Recruitment was performed using multistage probability sampling methodology designed to select approximately equal numbers of participants from two geographic strata, an inner-city area and near suburban neighbourhoods northwest of the city. AAH eligibility criteria included living independently (i.e. not institutionalized), self-reported black or African American race, birth year between 1936 and 1950, and a Mini-mental State Examination score of 16 or greater (98% ≥ 20). Recruitment proportion (participants/enumerated eligible persons) in 2000–01 was 76%. AAH Wave 1 (baseline) in-home interviews included n = 998 participants evaluated in 2000–01. Follow-up in-home interviews were done at in 2003–04 (Wave 4; n = 853) and 2010–11 (Wave 10; n = 582). The analytic sample for this report includes n = 853 Wave 4 respondents and outcomes at their 6 year follow-up (Wave 10). The institutional review board at Saint Louis University approved this project. The BLSA was started in 1958 and is an ongoing longitudinal study of normal human aging.15 BLSA participation is limited to adults who at the time of enrollment screening do not have major diseases, cognitive dysfunction, or functional impairment but once enrolled are followed for life. BLSA participants complete comprehensive health testing on a repeated cycle (1–4 years). The analytic sample for this study includes n = 1053 BLSA participants evaluated between April 2003 and December 2012 who were ages 60 and above and had valid data on the five items needed to construct the SARC-F and outcomes at follow-up (27.07 ± 11.7 months). The NHANES 1999–2006 is an annual cross-sectional, nationally representative survey of approximately 5000 non-institutionalized individuals in the United States.16 NHANES data are publically released in 2 year cycles. The primary objective of NHANES is to collect a comprehensive data set that can be utilized to assess the health and nutritional status of the national population of children and adults. NHANES data for 1999–2002 include n = 21 004 participants with a median age of 19 (interquartile range 10–48) and 51.4% women. The analytic sample for this study includes n = 3288 NHANES 1999–2002 participants who were ages 60–85 with valid data on the five items needed to construct the SARC-F. SARC-F questionnaire (0–10 points) SARC-F includes five components: strength, assistance walking, rise from a chair, climb stairs, and falls. SARC-F items were selected to reflect health status changes associated with the consequences of sarcopenia.3, 4 SARC-F scale scores range from 0 to 10 (i.e. 0–2 points for each component; 0 = best to 10 = worst) and were dichotomized to represent symptomatic (4+) vs. healthy (0–3) status. The SARC-F scale was constructed using the same questions in AAH and BLSA. Strength was measured by asking respondents how much difficulty they had lifting or carrying 10 lbs. (0 = no difficulty, 1 = some, and 2 = a lot or unable to do). Assistance walking was assessed by asking participants how much difficulty they had walking across a room and whether they use aids or need help to do this (0 = no difficulty, 1 = some difficulty, and 2 = a lot of difficulty, use aids, or unable to do without personal help). Rise from a chair was measured by asking respondents how much difficulty they had transferring from a chair or bed and whether they used aids or needed help to do this (0 = no difficulty, 1 = some difficulty, and 2 = a lot of difficulty, use aids, or unable to do without help). Climb stairs was measured by asking respondents how much difficulty they had climbing a flight of 10 steps (0 = no difficulty, 1 = some, and 2 = a lot or unable to do). Falls was scored a 2 for respondents who reported falling four or more times in the past year, 1 for respondents who reported falling 1–3 times in the past year, and 0 for those reporting no falls in the past year. SARC-F construction in NHANES used the same strength and climb stairs items as in AAH and BLSA. There were minor wording differences in the NHANES items for assistance walking (assessed by asking difficulty walking between rooms on the same floor) and rise from a chair (assessed by asking difficulty standing up from armless chair). NHANES did not ask participants to report the specific number of falls in the past year but did ask about difficulty with balance or falling in past year. The NHANES SARC-F falls was scored a 2 for respondents who reported falling problems in the past year, 1 for respondents who reported only balance problems in the past year, and 0 for those reporting no falling or balance problems in the past year. Criterion validation measures We examined the associations of SARC-F with muscle (lean mass per cent and total lean mass) and the short portable sarcopenia measure (SPSM) in the AAH cohort. The portable Tanita Ultimate Scale Model 2001 (Tanita Corporation of America, Arlington Heights, IL) bioelectrical impedance program was used to measure lean mass per cent (1 minus body fat per cent) and total lean mass [(1 minus body fat per cent) × body weight in lbs]. The SPSM scale is a brief field measure for sarcopenia that includes three components: upper body relative strength (grip strength/height), lower body power and strength (timed chair stands), and lean mass [(1 minus body fat per cent) × (body weight in kg/height in m2)], with a potential range of 0–18.17 Construct validity measures (cross-sectional and longitudinal) Instrumental Activity of Daily Living (IADL) difficulty in AAH covered eight items (preparing meals, shopping for groceries, managing money, making phone calls, doing light housework, doing heavy housework, getting to places outside walking distance, and managing medications) from the Second Longitudinal Study on Aging18 and Lawton and Brody19 and was scored as the number of tasks for which the respondent reported difficulty performing or unable to perform it without help. IADL difficulty in BLSA included seven of the eight AAH items except getting to places outside walking distance and was scored as the number of tasks for which the respondent reported difficulty performing or unable to perform without help. Hospitalization was based on respondent reports of one or more overnight hospitalizations in the year prior to Wave 4 (2004) and Wave 10 (2010) in AAH and of one or more overnight hospitalizations in the year prior to each respondent's NHANES interview (1999–2002). For gait speed in AAH, a 3 m or 4 m course in participants' homes was used, with participants instructed to walk at their usual pace, as if walking to the store. The average walking speed (m/s) for two trials was used to create a dichotomous variable for gait speed average of <0.8 vs. ≥0.8 m/s. A walk course was set up in the testing centre to measure time to complete a 20 ft walk (seconds) in NHANES. The short physical performance battery (SPPB) measure of lower body performance is based on three component tasks: standing balance, repeated chairs stands, and usual walking speed.20 Each component task was scored as 0–4 (0 = worst to 4 = best), and a composite score was computed as the sum of scores on component tasks as 0–12 (0 = worst to 12 = best). Complete details on the composite SPPB score in AAH are provided by Miller and colleagues.21 Chair stands in AAH were measured as the time (maximum of 60 s) it took participants to complete five rises and returns when instructed to complete the task as fast as possible. Grip strength testing in AAH was performed in the self-reported stronger hand using either a Jamar (Preston Corp, Jackson, MI) or a baseline (Fabrication Enterprises, Inc., Irvington, NY) isometric dynamometer (pre-testing showed equivalent results using either instrument) and defined as the average (kg) of three maximal trials. Grip strength testing in BLSA was done for both hands and scored as the average (kg) of three trials for each hand separately. Knee extensor strength testing in NHANES was done using a Kin Com MP dynamometer (Chattanooga Group, Inc., Chattanooga, TN). Peak torque (Newton/metres) of the quadriceps was measured at 60°/s. Frailty in AAH was measured using the FRAIL scale.11 FRAIL includes five components: fatigue, resistance, ambulation, illness, and loss of weight. FRAIL scores range from 0 to 5 (i.e. 1 point for each component; 0 = best to 5 = worst). Vital status up to 6 years later in AAH was determined by proxy report as part of the annual AAH follow-up interview plus tracing via local databases (e.g. obituaries). Results were coded 1 for decedents and 0 for survivors. Vital status up to 9.75 years later in BLSA was coded 1 for decedents and 0 for survivors. Statistics Data were analysed using IBM SPSS Statistics, version 21 (Somers, NY). Descriptive statistics are reported as means ± standard deviations, median and interquartile range, or percentages. T-test for continuous variables and chi-square for categorical variables were used to compare socio-demographic characteristics of study groups. Internal consistency reliability was evaluated using Cronbach's alpha. Principal components analysis was performed to investigate the homogeneity of SARC-F items. SARC-F associations with muscle mass, SPSM, and frailty were examined using Spearman's rho correlation. Analysis of covariance (continuous outcomes) and logistic regression (dichotomous outcomes) were used to compare participants with SARC-F scores ≥ 4 vs. < 4 in cross-sectional outcomes. Linear regression (continuous outcomes) and logistic regression (dichotomous outcomes) were used to examine the association of SARC-F score ≥ 4 vs. < 4 for longitudinal outcomes and for SARC-F items with cross-sectional and longitudinal outcomes. Means ± standard deviations are reported for analyses of covariance, adjusted odds ratios (ORs) and 95% confidence intervals (CIs) are reported for logistic regression analyses, and unstandardized (B) regression coefficients and standard errors are reported for linear regression analyses. Cross-sectional analyses were adjusted for age and gender, and longitudinal analyses were adjusted for age, gender, and baseline values of all validating variables except mortality. Results SARC-F total scores (0–10) median (interquartile range) were 0 (0–2) in AAH, 0 (0 and 1) in BLSA, and 0 (0–2) in NHANES. There were 18.4% (157/853) AAH, 6.3% (66/1053) BLSA, and 15.4% (505/3288) NHANES participants with a SARC-F score ≥ 4 (SARC-F positive). The characteristics of the SARC-F positive and SARC-F negative groups are shown in Table 1 and demonstrated the expected findings (e.g. lower household income in the SARC-F positive group). The five-item SARC-F alphas were 0.81 (AAH), 0.78 (BLSA), and 0.76 (NHANES). The principal components SARC-F analyses yielded a single factor that accounted for 57.2% (AAH), 56.7% (BLSA), and 53.5% (NHANES) of variance. SARC-F item loadings (AAH, BLSA, and NHANES) were as follows: strength (0.81, 0.80, 0.76), assistance walking (0.81, 0.84, 0.76), rise from a chair (0.80, 0.76, 0.80), climb stairs (0.81, 0.88, 0.80), and falls (0.50, 0.39, 0.49). SARC-F in the AAH cohort correlated with Tanita lean mass per cent (r = −0.20; P = 0.001), Tanita lean mass total (lbs; r = −0.07, P = 0.046), and the SPSM (r = −0.34; P < 0.001). Table 1. Demographic characteristics among participants with high (≥4) vs. low (<4) SARC-F scores SARC-F scores ≥ 4 African American Health Yes (n = 157) No (n = 696) P-value** T-test for continuous variables and chi-square for categorical variables. Age (mean ± SD) 59.95 ± 4.5 59.00 ± 4.3 0.013 Women (%) 71.3 60.6 0.012 Years of education (mean ± SD) 11.57 ± 2.8 12.69 ± 2.9 <0.001 Annual household income below 25 K (%) 77.1 44.1 <0.001 City area (%) 55.4 42.7 0.004 Self-rated health: fair or poor (%) 81.5 26.3 <0.001 SARC-F scores ≥ 4 Baltimore Longitudinal Study of Aging Yes (n = 66) No (n = 987) P-value** T-test for continuous variables and chi-square for categorical variables. Age (mean ± SD) 72.74 ± 8.7 85.35 ± 9.2 <0.001 Women (%) 60.6 46.6 0.019 Race (%) 0.019 White 89.4 74.4 Black or African American 10.6 21.0 Other race 0 4.6 Years of education (mean ± SD) 15.33 ± 3.0 16.81 ± 2.7 <0.001 Annual household income below 25 K (%) 16.7 4.9 0.011 Self-rated health: fair or poor (%) 38.6 4.2 <0.001 SARC-F scores ≥ 4 National Health and Nutrition Examination Survey Yes (n = 505) No (n = 2783) P-value** T-test for continuous variables and chi-square for categorical variables. Age (mean ± SD) 75.76 ± 8.2 71.30 ± 7.8 <0.001 Women (%) 66.5 49.1 <0.001 Race (%) 0.711 Mexican American 18.4 19.9 Other Hispanic 4.8 3.9 Non-Hispanic White 57.0 58.2 Non-Hispanic Black 17.4 16.0 Other race 2.4 2.1 Education (%) <0.001 Less than high school 55.2 40.8 High school/GED 20.2 24.1 More than high school 24.6 35.1 Annual household income below 20 K (%) 54.5 33.1 <0.001 GED, general educational development; SD, standard deviation. * T-test for continuous variables and chi-square for categorical variables. Cross-sectional results Health outcomes (disability, physical performance, strength, and utilization) for those with SARC-F ≥ 4 vs. < 4 in the AAH, BLSA, and NHANES cohorts are shown in Table 2. AAH participants with SARC-F scores ≥ 4 had more IADL deficits than those with SARC-F scores of 3 or less, slower chair stands times, lower grip strength, and lower SPPB scores (Ps ≤ 0.001). SARC-F scores ≥ 4 in AAH also were associated with a higher likelihood of being hospitalized overnight in the past year and having a gait speed of <0.8 m/s (Ps ≤ 0.001). The correlation between total SARC-F scores (0–10) and FRAIL scale scores (0–5) was 0.70 (P < 0.001) in AAH. SARC-F scores ≥ 4 in BLSA were associated with higher IADL difficulties and worse grip strength in both the right and left hands (Ps ≤ 0.001). NHANES participants with SARC-F scores ≥ 4 exhibited slower times to walk 20 ft, lower strength (knee extension), and increased likelihood of being hospitalized overnight in the past year (Ps ≤ 0.001). Similar associations were seen in cross-sectional comparisons for SARC-F items and outcomes in AAH, BLSA, and NHANES (Table 3). Table 2. Construct validity: cross-sectional comparisons for health outcomes among participants with high (≥4) vs. low (<4) SARC-F scores SARC-F scores ≥ 4 African American Health Yes No P-value** Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. IADLs (0–8) 3.67 ± 2.0 0.42 ± 0.9 <0.001 Chair stands (s) 15.25 ± 5.2 11.30 ± 3.5 <0.001 Grip strength (kg) 26.23 ± 11.1 32.52 ± 11.6 <0.001 Short physical performance battery (0–12) 4.78 ± 3.1 8.90 ± 2.3 <0.001 Odds ratio (95% CI) P-value** Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. Hospitalized overnight in the past year 3.94 (2.66–5.83) <0.001 Gait speed < 0.8 m/s 5.73 (3.28–10.00) <0.001 SARC-F scores ≥ 4 Baltimore Longitudinal Study of Aging Yes No P-value** Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. IADLs (0–7) 3.74 ± 2.4 0.23 ± 0.7 <0.001 Grip strength, right hand (kg) 17.92 ± 8.4 29.62 ± 10.2 0.004 Grip strength, left hand (kg) 16.80 ± 8.1 28.25 ± 10.1 0.012 SARC-F scores ≥ 4 National Health and Nutrition Examination Survey Yes No P-value** Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. 20 ft walk (s) 10.18 ± 4.9 6.86 ± 2.58 <0.001 Peak force, knee extensor strength 198.21 ± 69.4 258.15 ± 88.77 <0.001 Odds ratio (95% CI) P-value** Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. Hospitalized overnight in the past year 2.53 (2.01–3.19) <0.001 CI, confidence interval; IADLs, Instrumental Activities of Daily Living. * Analysis of covariance for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. Table 3. Construct validity: cross-sectional comparisons for health outcomes with SARC-F items** T-test for continuous variables and chi-square for categorical variables. African American Health Baltimore Longitudinal Study of Aging Unstandardized coefficients Unstandardized coefficients B (SE) P-value B (SE) P-value IADLs (0–8) IADLs (0–7) Strength 1.55 (0.06) <0.001 Strength 1.68 (0.07) <0.001 Assistance walking 1.97 (0.07) <0.001 Assistance walking 1.76 (0.07) <0.001 Rise from a chair 1.88 (0.08) <0.001 Rise from a chair 1.39 (0.07) <0.001 Climb stairs 1.65 (0.06) <0.001 Climb stairs 1.48 (0.06) <0.001 Falls 0.92 (0.10) <0.001 Falls 0.52 (0.07) <0.001 Chair stands (s) Grip strength, right hand (kg) Strength 1.89 (0.26) <0.001 Assistance walking 2.76 (0.37) <0.001 Strength −2.77 (0.63) <0.001 Assistance walking −2.17 (0.62) <0.001 Rise from a chair 2.98 (0.39) <.001 Climb stairs 2.35 (0.27) <0.001 Rise from a chair −1.95 (0.60) 0.001 Falls 1.21 (0.29) <0.001 Climb stairs −1.81 (0.59) 0.002 Falls −0.69 (0.46) 0.131 Grip strength (kg) Grip strength, left hand (kg) Strength −2.70 (0.46) <0.001 Assistance walking −1.53 (0.57) 0.007 Strength −2.60 (0.62) <0.001 Assistance walking −1.71 (0.63) 0.007 Rise from a chair −1.77 (0.58) 0.002 Climb stairs −2.53 (0.48) <0.001 Rise from a chair −1.83 (0.58) 0.002 Falls −1.12 (0.57) 0.051 Climb stairs −1.65 (0.57) 0.004 Falls −0.10 (0.44) 0.815 SPPB (0–12) Strength −2.03 (0.13) <0.001 Assistance walking −2.73 (0.17) <0.001 Rise from a chair −2.37 (0.18) <0.001 Climb stairs −2.33 (0.13) <0.001 Falls −1.35 (0.18) <0.001 National Health and Nutrition Examination Survey Unstandardized coefficients Odds ratio (95% CI) P-value B (SE) P-value Hospitalized overnight in the past year 20 ft walk (s) Strength 2.14 (1.73–2.65) <0.001 Strength 1.38 (0.09) <0.001 Assistance walking 2.36 (1.85–3.02) <0.001 Assistance walking 3.21 (0.22) <0.001 Rise from a chair 1.98 (1.54–2.56) <0.001 Rise from a chair 1.55 (0.11) <0.001 Climb stairs 2.09 (1.67–2.62) <0.001 Climb stairs 1.44 (0.09) <0.001 Falls 1.97 (1.49–2.59) <0.001 Falls 0.93 (0.10) <0.001 Gait speed < 0.8 m/s Peak force, knee Strength 2.65 (1.96–3.59) <0.001 Strength −16.43 (3.07) <0.001 Assistance walking 5.02 (2.75–9.15) <0.001 Assistance walking −32.87 (8.42) <0.001 Rise from a chair 2.92 (1.96–4.36) <0.001 Rise from a chair −24.22 (3.72) <0.001 Climb stairs 3.07 (2.21–4.24) <0.001 Climb stairs −21.89 (3.16) <0.001 Falls 1.49 (1.11–1.99) 0.008 Falls −14.12 (3.28) <0.001 Odds ratio (95% CI) P-value Hospitalized overnight in the past year Strength 1.75 (1.54–1.99) <0.001 Assistance walking 1.77 (1.44–2.17) <0.001 Rise from a chair 1.68 (1.45–1.94) <0.001 Climb stairs 1.73 (1.52–1.97) <0.001 Falls 1.62 (1.41–1.86) <0.001 CI, confidence interval; IADLs, Instrumental Activities of Daily Living; SE, standard error; SPPB, short physical performance battery. * Linear regression for continuous outcomes and logistic regression for dichotomous outcomes. Analyses adjusted for age and gender. Longitudinal results SARC-F scores ≥ 4 predicted hospitalization and gait speed of <0.8 m/s at 6 year follow-up in the AAH (Ps ≤ 0.05; Table 4). SARC-F scores ≥ 4 were also associated with more IADL deficits, slower chair stands times, and lower SPPB scores (Ps ≤ 0.01) at 6 year follow-up in AAH. Grip strength was lower for those with SARC-F scores ≥ 4 (27 ± 12) vs. < 4 (32 ± 11) at 6 year follow-up in AAH, but this difference was not statistically significant (P = 0.288). AAH SARC-F scores ≥ 4 predicted 6 year mortality (OR = 1.87, 95% CI 1.17–2.98; P = 0.009) and included 19.7% of persons who died compared with 11.9% of non-SARC-F positive persons who died. SARC-F scores ≥ 4 were associated with more IADL deficits, lower grip strength right hand, and lower grip strength left hand (Ps ≤ 0.05) at follow-up in BLSA. SARC-F scores ≥ 4 vs. < 4 also predicted mortality (OR = 3.0, 95% CI 1.57–5.73; P < 0.001) in BLSA. Mortality for BLSA participants was 39.4% for SARC-F ≥ 4 vs. 8.0% for SARC-F < 4. A mortality analysis including only BLSA participants with at least 2 years of follow-up yielded similar results for SARC-F scores ≥ 4 vs. < 4 (OR = 2.69, 95% CI 1.39–5.21; P < 0.001). Similar associations were seen in longitudinal comparisons for SARC-F items and outcomes in AAH and BLSA (Table 5). Table 4. Construct validity: longitudinal comparisons for health outcomes among participants with high (≥4) vs. low (<4) SARC-F scores** Linear regression for continuous outcomes and logistic regression for dichotomous outcomes. Mortality analyses adjusted for age and gender. All other analyses adjusted for age, gender, and baseline value of the outcome variable being examined. African American Health SARC-F scores ≥ 4 Odds ratio (95% CI) P-value** Linear regression for continuous outcomes and logistic regression for dichotomous outcomes. Mortality analyses adjusted for age and gender. All other analyses adjusted for age, gender, and baseline value of the outcom