IDEAS home Printed from https://ideas.repec.org/a/spr/eujoag/v14y2017i1d10.1007_s10433-016-0388-x.html
   My bibliography  Save this article

Comparing two frailty concepts among older people with intellectual disabilities

Author

Listed:
  • Josje D. Schoufour

    (Erasmus Medical Center
    Erasmus Medical Center)

  • Michael A. Echteld

    (Erasmus Medical Center)

  • Heleen M. Evenhuis

    (Erasmus Medical Center)

Abstract

In general, disabilities are considered a consequence of frailty rather than a cause of frailty, whereas in people with intellectual disabilities (ID), disabilities are often lifelong, which could have consequences for the feasibility and validity of frailty instruments. To better understand frailty in people with ID, we compared two broadly used concepts: the frailty phenotype (FP) and the frailty index (FI) taking into account their feasibility (e.g., percentage of participants able to complete the frailty assessments), agreement, validity (based on 5-year mortality risk), influence of motor disability, and the relation between single frailty variables and mortality. The FI and an adapted version of the FP were applied to a representative dataset of 1050 people with ID, aged 50 years and over. The FI was feasible in a larger part of the dataset (94 %) than the adapted FP: 29 % for all five items, and 81 % for at least three items. There was a slight agreement between the approaches (κ = 0.3). However defined, frailty was related with mortality, but the FI showed higher discriminative ability and a stronger relation with mortality, especially when adjusted for motor disabilities. Concluding, these results imply that the used FI is a stronger predictor for mortality and has higher feasibility than our adaptation of the FP, in older people with ID. Possible explanations of our findings are that we did not use the exact FP variables or that the FI includes multiple health domains, and the variables of the FI have lower sensitivity to lifelong disabilities and are less determined by mobility.

Suggested Citation

  • Josje D. Schoufour & Michael A. Echteld & Heleen M. Evenhuis, 2017. "Comparing two frailty concepts among older people with intellectual disabilities," European Journal of Ageing, Springer, vol. 14(1), pages 63-79, March.
  • Handle: RePEc:spr:eujoag:v:14:y:2017:i:1:d:10.1007_s10433-016-0388-x
    DOI: 10.1007/s10433-016-0388-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10433-016-0388-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10433-016-0388-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Majer, I.M. & Nusselder, W.J. & Mackenbach, J.P. & Klijs, B. & Van Baal, P.H.M., 2011. "Mortality risk associated with disability: A population-based record linkage study," American Journal of Public Health, American Public Health Association, vol. 101(12), pages 9-15.
    2. Patrick J. Heagerty & Thomas Lumley & Margaret S. Pepe, 2000. "Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker," Biometrics, The International Biometric Society, vol. 56(2), pages 337-344, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Claire L Heslop & Gregory E Miller & John S Hill, 2009. "Neighbourhood Socioeconomics Status Predicts Non-Cardiovascular Mortality in Cardiac Patients with Access to Universal Health Care," PLOS ONE, Public Library of Science, vol. 4(1), pages 1-8, January.
    2. Chin-Tsang Chiang & Shr-Yan Huang, 2009. "Estimation for the Optimal Combination of Markers without Modeling the Censoring Distribution," Biometrics, The International Biometric Society, vol. 65(1), pages 152-158, March.
    3. Sebastian Cremer & Lisa Pilgram & Alexander Berkowitsch & Melanie Stecher & Siegbert Rieg & Mariana Shumliakivska & Denisa Bojkova & Julian Uwe Gabriel Wagner & Galip Servet Aslan & Christoph Spinner , 2021. "Angiotensin II receptor blocker intake associates with reduced markers of inflammatory activation and decreased mortality in patients with cardiovascular comorbidities and COVID-19 disease," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-17, October.
    4. Nuriye Sancar & Deniz Inan, 2018. "A novel method as a diagnostic tool for the detection of influential observations in the Cox proportional hazards model," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 1253-1266, December.
    5. Te-Ling Ma & Tsung-Hui Hu & Chao-Hung Hung & Jing-Houng Wang & Sheng-Nan Lu & Chien-Hung Chen, 2019. "Incidence and predictors of retreatment in chronic hepatitis B patients after discontinuation of entecavir or tenofovir treatment," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-16, October.
    6. Liu Xinhua & Jin Zhezhen, 2009. "A Non-Parametric Approach to Scale Reduction for Uni-Dimensional Screening Scales," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-22, January.
    7. Irene Albarrán Lozano & Pablo J. Alonso-González & José Javier Núñez-Velázquez, 2021. "Estimation of Life Expectancy for Dependent Population in a Multi-State Context," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    8. Yingye Zheng & Patrick Heagerty, 2004. "Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data," UW Biostatistics Working Paper Series 1052, Berkeley Electronic Press.
    9. Shannon M Lynch & Elizabeth Handorf & Kristen A Sorice & Elizabeth Blackman & Lisa Bealin & Veda N Giri & Elias Obeid & Camille Ragin & Mary Daly, 2020. "The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    10. Jinwook Bahk & Hee-Yeon Kang & Young-Ho Khang, 2019. "The Life Expectancy Gap between Registered Disabled and Non-Disabled People in Korea from 2004 to 2017," IJERPH, MDPI, vol. 16(14), pages 1-9, July.
    11. Nir Y. Krakauer & Jesse C. Krakauer, 2021. "Association of X-ray Absorptiometry Body Composition Measurements with Basic Anthropometrics and Mortality Hazard," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
    12. Weining Shen & Jing Ning & Ying Yuan, 2015. "A direct method to evaluate the time-dependent predictive accuracy for biomarkers," Biometrics, The International Biometric Society, vol. 71(2), pages 439-449, June.
    13. Matthias Schmid & Thomas Hielscher & Thomas Augustin & Olaf Gefeller, 2011. "A Robust Alternative to the Schemper–Henderson Estimator of Prediction Error," Biometrics, The International Biometric Society, vol. 67(2), pages 524-535, June.
    14. Si Cheng & Kathleen F Kerr & Heather Thiessen-Philbrook & Steven G Coca & Chirag R Parikh, 2020. "BioPETsurv: Methodology and open source software to evaluate biomarkers for prognostic enrichment of time-to-event clinical trials," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-11, September.
    15. Jung Min Park & Ukchan Oh & Beop-Rae Roh & Yeongmin Moon, 2017. "Disparities in mortality by disability: an 11-year follow-up study of 1 million individuals," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(9), pages 989-996, December.
    16. Tim Johnson & Valen Johnson, 2004. "A Bayesian Hierarchical Approach to Multirater Correlated ROC Analysis," The University of Michigan Department of Biostatistics Working Paper Series 1027, Berkeley Electronic Press.
    17. P. Saha & P. J. Heagerty, 2010. "Time-Dependent Predictive Accuracy in the Presence of Competing Risks," Biometrics, The International Biometric Society, vol. 66(4), pages 999-1011, December.
    18. Lori E. Dodd, 2010. "ROC Curves for Continuous Data by KRZANOWSKI, W. J. and HAND, D. J," Biometrics, The International Biometric Society, vol. 66(2), pages 657-658, June.
    19. Janez Stare & Maja Pohar Perme & Robin Henderson, 2011. "A Measure of Explained Variation for Event History Data," Biometrics, The International Biometric Society, vol. 67(3), pages 750-759, September.
    20. Minta Thomas & Yu-Ru Su & Elisabeth A. Rosenthal & Lori C. Sakoda & Stephanie L. Schmit & Maria N. Timofeeva & Zhishan Chen & Ceres Fernandez-Rozadilla & Philip J. Law & Neil Murphy & Robert Carreras-, 2023. "Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujoag:v:14:y:2017:i:1:d:10.1007_s10433-016-0388-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.