Araştırma Makalesi

Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty

Cilt: 8 Sayı: 2 11 Ağustos 2026
Meral Timurtas *, Mehmet İnceer
PDF İndir
TR EN

Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty

Öz

Aim: This study aimed to evaluate how far patient-reported and self-reported (PRO/SRO) items from the SF-36 physical function domain could substitute measured (PerfO) grip strength and gait speed in frailty classification, while also comparing the variability in frailty estimates produced by PerfO versus PRO/SRO approaches. Material and Method: This study conducted a secondary analysis of two large cohorts: NuAge, representing older adults, and MACS, comprising HIV-positive and HIV-negative men. Frailty indicators of “frail walk” and “frail handgrip” were defined according to Fried’s criteria. Associations between performance-based (PerfO) and patient-/self-reported (PRO/SRO) measures were examined using correlations and stepwise logistic regression. The PRO/SRO items were further evaluated for sensitivity and specificity. Frailty status was compared using two classifications: the adapted Fried’s Frailty Phenotype (aFFP) and the Frailty Indicator Phenotype (FIP). Results: NuAge had 1754 participants (women:914, men:840) (mean age: 4.2 ±4.1). MACS had 1151 participants (HIV- negative:679; HIV-positive:472) with complete gait speed and grip strength (mean age:56 ±5.0). The strongest predictors of frail walk were limitations in walking 200 m/several blocks and age (c-statistics: 0.71–0.87), while frail handgrip was best explained by lifting and carrying (c-statistics: 0.51–0.63). For SRO-based classifications, sensitivity ranged from 8.2% to 32.8% and specificity from 86% to 93%. In comparison, aFFP and FIP achieved markedly higher sensitivity (48%–95%) with similar specificity (86%–96%). Conclusion: SRO measures of walking 200 m and carrying objects had poor sensitivity but high specificity, making them useful for excluding non-frail gait and grip cases. In contrast, the FIP constructed entirely from PRO/SRO items demonstrated both high sensitivity and specificity, highlighting its promise as a straightforward and practical frailty screening approach.

Anahtar Kelimeler

Rehabilitation, HIV, Aging, Frailty, Walking Speed, Grip Strength

Kaynakça

  1. Allen, K. B. (2014). Frailty: it's hard to define, but you know it when you see it. J Thorac Cardiovasc Surg, 148(6), 3117-3118. doi:10.1016/j.jtcvs.2014.10.013
  2. Althoff, K. N., Jacobson, L. P., Cranston, R. D., Detels, R., Phair, J. P., Li, X., . . . Study, f. t. M. A. C. (2013). Age, Comorbidities, and AIDS Predict a Frailty Phenotype in Men Who Have Sex With Men. The Journals of Gerontology: Series A, 69A(2), 189-198. doi:10.1093/gerona/glt148
  3. Amiard, V., Libert, J.-P., & Descatha, A. (2019). Is there an accurate relationship between simple self-reported functional limitations and the assessment of physical capacity in early old age? PLoS One, 14(3), e0211853. doi:10.1371/journal.pone.0211853
  4. Austin, P. C. (2009). Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research. Communications in Statistics - Simulation and Computation, 38(6), 1228-1234. doi:10.1080/03610910902859574
  5. Azzopardi, R. V., Vermeiren, S., Gorus, E., Habbig, A. K., Petrovic, M., Van Den Noortgate, N., . . . Gerontopole Brussels Study, G. (2016). Linking Frailty Instruments to the International Classification of Functioning, Disability, and Health: A Systematic Review. Journal of the American Medical Directors Association, 17(11), 1-1066. doi:10.1016/j.jamda.2016.07.023
  6. Braithwaite, R. S., Justice, A. C., Chang, C. C., Fusco, J. S., Raffanti, S. R., Wong, J. B., & Roberts, M. S. (2005). Estimating the proportion of patients infected with HIV who will die of comorbid diseases. Am J Med, 118(8), 890-898. doi:10.1016/j.amjmed.2004.12.034
  7. Brothers, T., Kirkland, S., Guaraldi, G., Falutz, J., Theou, O., Johnston, B., & Rockwood, K. (2014). Frailty in People Aging With Human Immunodeficiency Virus (HIV) Infection. The Journal of infectious diseases, 210. doi:10.1093/infdis/jiu258
  8. Cary, N. (2011). SAS Institute Inc SAS/STAT® 9.3 user’s guide: the MIXED procedure (Chapter). SAS Institute Inc. Crow, R. S., Petersen, C. L., Cook, S. B., Stevens, C. J., Titus, A. J., Mackenzie, T. A., & Batsis, J. A. (2020). Reported Weight Change in Older Adults and Presence of Frailty. J Frailty Aging, 9(2), 74-81. doi:10.14283/jfa.2019.44 Dang, J., King, K. M., & Inzlicht, M. (2020). Why Are Self-Report and Behavioral Measures Weakly Correlated? Trends in cognitive sciences, 24(4), 267-269. doi:10.1016/j.tics.2020.01.007
  9. Desrosiers, J., Bravo, G., Hébert, R., & Dutil, E. (1995). Normative data for grip strength of elderly men and women. Am J Occup Ther, 49(7), 637-644. doi:10.5014/ajot.49.7.637
  10. Ferrucci, L., Guralnik, J. M., Studenski, S., Fried, L. P., Cutler, G. B., Jr., & Walston, J. D. (2004). Designing randomized, controlled trials aimed at preventing or delaying functional decline and disability in frail, older persons: a consensus report. J Am Geriatr Soc, 52(4), 625-634. doi:10.1111/j.1532-5415.2004.52174.x

Kaynak Göster

APA
Timurtas, M., & İnceer, M. (2026). Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi, 8(2), 526-538. https://doi.org/10.46413/boneyusbad.1767098
AMA
1.Timurtas M, İnceer M. Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 2026;8(2):526-538. doi:10.46413/boneyusbad.1767098
Chicago
Timurtas, Meral, ve Mehmet İnceer. 2026. “Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 8 (2): 526-38. https://doi.org/10.46413/boneyusbad.1767098.
EndNote
Timurtas M, İnceer M (01 Ağustos 2026) Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 8 2 526–538.
IEEE
[1]M. Timurtas ve M. İnceer, “Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty”, Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi, c. 8, sy 2, ss. 526–538, Ağu. 2026, doi: 10.46413/boneyusbad.1767098.
ISNAD
Timurtas, Meral - İnceer, Mehmet. “Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 8/2 (01 Ağustos 2026): 526-538. https://doi.org/10.46413/boneyusbad.1767098.
JAMA
1.Timurtas M, İnceer M. Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 2026;8:526–538.
MLA
Timurtas, Meral, ve Mehmet İnceer. “Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi, c. 8, sy 2, Ağustos 2026, ss. 526-38, doi:10.46413/boneyusbad.1767098.
Vancouver
1.Meral Timurtas, Mehmet İnceer. Agreement Between Performance-Based and Adult Patient Self-Report Measures for Classifying Physical Frailty. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 01 Ağustos 2026;8(2):526-38. doi:10.46413/boneyusbad.1767098