Normative Values for the Short Physical Performance Battery (SPPB) and Their Association With Anthropometric Variables in Older Colombian Adults. The SABE Study, 2015

Ramírez‐Vélez, Robinson; Pérez-Sousa, Miguel Ángel; Venegas-Sanabria, Luis Carlos; Cano-Gutiérrez, Carlos; Hernández-Quiñónez, Paula Andrea; Rincón-Pabón, David; García-Hermoso, António; Zambom-Ferraresi, Fabrício; Asteasu, Mikel L. Sáez de; Izquierdo, Mikel

doi:10.3389/fmed.2020.00052

Cited by 53 publications

(53 citation statements)

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“…Our findings agree with a Norwegian study which reported ceiling effects of SPPB, across age groups 40–80+ years [ 3 ]. However, such a ceiling effect of SPPB was not observed in Colombian adults aged > 80 years, with 19.8% of males and 7% of females with an SPPB score of 10–12 [ 4 ]. Across ages 40–80+ years, mean SPPB scores in men and women were similar between our study participants and Norwegian adults [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

“…The sensitivity and specificity for each optimal cut-off value and corresponding 95% confidence intervals were reported. Age- and sex-specific smoothed centile curves for GS and STS were generated using standard analytical Lambda Mu Sigma (LMS) method with LMS ChartMakerPro v2.54 (The Institute of Health, London, United Kingdom) [ 4 , 20 – 22 ]. A value of p < 0.05 was considered statistically significant.…”

Section: Methodsmentioning

confidence: 99%

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SPPB reference values and performance in assessing sarcopenia in community-dwelling Singaporeans – Yishun study

et al. 2021

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Background The Short Physical Performance Battery (SPPB) is an established test of physical performance. We provide reference values for SPPB and determine SPPB performance and cut-offs in assessing sarcopenia for Asian community-dwelling older adults. Methods Five hundred thirty-eight (57.8% women) community-dwelling adults aged 21–90 years were recruited. SPPB and its subtest scores and timings (8 ft. gait speed (GS), five-times repeated chair sit-to-stand (STS) and balance) were determined. Appendicular lean mass divided by height-squared, muscle strength (handgrip) and physical performance (6 m GS, STS and SPPB) were assessed to define sarcopenia for various Asian criteria. Area under the ROC curve (AUC) was used to assess performance of SPPB and subtests in discriminating sarcopenia in adults aged ≥60 years. Optimal SPPB and GS subtest cut-offs for each sarcopenia criterion were determined by maximizing sensitivity and specificity. Results The mean SPPB score was 11.6(SD 1.1) in men and 11.5(SD1.2) in women. Majority of participants(≥50%) aged 21–80 years achieved the maximum SPPB score. SPPB total and subtest scores generally decreased with age (all p < 0.001), but did not differ between sex. Among older adults (≥60 years), SPPB and GS subtest had varied performance in assessing sarcopenia (AUC 0.54–0.64 and 0.51–0.72, respectively), and moderate-to-excellent performance in assessing severe sarcopenia (AUC 0.69–0.98 and 0.75–0.95, respectively), depending on sarcopenia definitions. The optimal cut-offs for discriminating sarcopenia in both sexes were SPPB ≤11points and GS subtest ≤1.0 m/s. The most common optimal cut-offs for discriminating severe sarcopenia according to various definitions were SPPB ≤11points in both sexes, and GS ≤0.9 m/s in men and ≤ 1.0 m/s in women. Conclusions Population-specific normative SPPB values are important for use in diagnostic criteria and to interpret results of studies evaluating and establishing appropriate treatment goals. Performance on the SPPB should be reported in terms of the total sum score and registered time to complete the repeated-chair STS and 8-ft walk tests. The performance of GS subtest was comparable to SPPB and could be a useful, simple and accessible screening tool for discriminating severe sarcopenia in community-dwelling older adults.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

SPPB reference values and performance in assessing sarcopenia in community-dwelling Singaporeans – Yishun study

et al. 2021

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“…GS in the 3 meters test is not a routingly used and this results may underestimated speed (48). However, we do not consider that it biases our results as has been used in previous works (12,18). Nevertheless, the SABE Colombia study has the largest sample of Latin American older adults, providing to our analyses a good statistical power.…”

Section: Discussionmentioning

confidence: 93%

Muscular Function: An alternative way to identify cognitive impairment, Secondary Analysis From SABE-Colombia

García-Cifuentes

Botero‐Rodríguez

Velandia

et al. 2020

Preprint

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Background Traditionally, the identification of cognitive impairment is based on neuropsychological tests and supported with not widely available biomarkers. This study aimed to establish the association between motor function (Gait Speed and Handgrip Strength) and the performance in a global cognitive performance and various cognitive domains. Our secondary objective was to determine a cut-off point for Gait Speed and Handgrip Strength to classify older adults as cognitively impaired. Methods This is a secondary analysis from the SABE Colombia study (Health, Well-Being, and Aging) conducted in 2015. We performed linear regression models, to establish association with motor function, clinical, and sociodemographic variables, and predict the scores of the Mini-mental State Examination and its domains (i.e. orientation, recall, counting, and language). The evaluation of the motor function variables as an instrument to separate cognitively impaired older adults was evaluated by developing a receiving operating characteristic curve (ROC). Results Gait speed was associated with orientation (r2 = 0.16), language (r2 = 0.15), recall memory (r2 = 0.14) and counting (r2 = 0.08). Similarly, handgrip strength was associated with orientation (r2 = 0.175), language (r2 = 0.164), recall memory (r2 = 0.137), and counting (r2 = 0.08). Slow gait had a cut-off point of 0,59 m/s, with an area under the curve (AUC) of 0.629 (0.613–0.646), whereas a weak handgrip strength had an AUC of 0.653 (0.645–0.661), with a cut-off point of 17.50 Kg for separating those older adults with cognitive impairment. Conclusions Gait Speed or Handgrip Strength are similarly associated with cognitive performance, exhibiting the larger associations with orientation and language domains. Gait Speed and Handgrip Strength can be easily performed by any clinician and seems to be useful screening tools to detect cognitive impairment.

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“…Estimates for impaired balance or coordination are 8-14% at 60-69 years, 16-17% at 70-79 years, and 39-46% at 80+ years [14,15], 16% at 60+ years [13] and 28% at 65+ years [16]. Other studies have also report that women have higher prevalences of impairment [22] and that prevalence of weakness and impaired balance increase markedly with age [7,9,14,15].…”

Section: Discussionmentioning

confidence: 99%

“…prevalence of fatigue in multiple sclerosis [4]), there have been relatively few population-based studies. Notable exceptions include studies of population prevalence of weakness in Brasil [5], USA [6][7][8] and Ecuador [9]; fatigue in Norway [10], England [11] and USA [12]; and impaired balance and coordination in Brasil [13], Norway [14], Colombia [15] and the USA [16]. Nonetheless, with the possible exception of estimates of the prevalence of weakness, estimates of the prevalence of specific motor impairments are sparse.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of motor impairment in residents of New South Wales, Australia aged 55 years and over: cross-sectional survey of the 45 and Up cohort

et al. 2020

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Background: The population prevalence of many diseases is known. However, little is known of the population prevalence of motor impairments. Methods: The aim of this study was to determine the point prevalence of specific motor impairments (weakness, fatigue, contracture, impaired balance and impaired coordination) in the population aged 55 years and older resident in New South Wales, Australia in 2018. 55,210 members of the 45 and Up cohort were invited to participate in a follow-up survey that included questions on motor impairment. Responses were received from 20, 141 people (36%). Calibrated estimates of prevalence of specific motor impairments, and of having at least one motor impairment, were obtained using survey weights based on the known multivariate distributions of age, gender and geographical location (28 regions) in the population. Results: More than one-third of adults aged over 55 residing in New South Wales have difficulty using their hands, arms or legs. The prevalence of each motor impairment (muscle weakness, fatigue, contracture, impaired balance or impaired coordination) in this population is between 4 and 12%. The prevalence of at least one of these impairments is 21%. The prevalence of at least one impairment in people aged 85 and over is 42%. Women consistently had more difficulty using hands, arms and legs, and more motor impairment, than men. Difficulty using hands, arms and legs and the prevalence of all motor impairments, especially poor balance, greatly increased with age. Conclusion: The prevalence of specific motor impairments in older Australian adults is high-comparable to that of the most prevalent diseases. There may be merit in considering motor impairment as a significant public health problem in its own right.

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Normative Values for the Short Physical Performance Battery (SPPB) and Their Association With Anthropometric Variables in Older Colombian Adults. The SABE Study, 2015

Cited by 53 publications

References 43 publications

SPPB reference values and performance in assessing sarcopenia in community-dwelling Singaporeans – Yishun study

SPPB reference values and performance in assessing sarcopenia in community-dwelling Singaporeans – Yishun study

Muscular Function: An alternative way to identify cognitive impairment, Secondary Analysis From SABE-Colombia

Prevalence of motor impairment in residents of New South Wales, Australia aged 55 years and over: cross-sectional survey of the 45 and Up cohort

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