Literature DB >> 33896441

Assessing Bias in Cognitive Testing for Older Adults with Sensory Impairment: An Analysis of Differential Item Functioning in the Baltimore Longitudinal Study on Aging (BLSA) and the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS).

E Nichols1, J A Deal1,2, B K Swenor1,3, A G Abraham1,4, N M Armstrong5, M C Carlson6, M Griswold7, F R Lin1,2,6, T H Mosley7, P Y Ramulu3, N S Reed1,2, S M Resnick8, A R Sharrett1, A L Gross1.   

Abstract

OBJECTIVES: Vision and hearing impairments affect 55% of people aged 60+ years and are associated with lower cognitive test performance; however, tests rely on vision, hearing, or both. We hypothesized that scores on tests that depend on vision or hearing are different among those with vision or hearing impairments, respectively, controlling for underlying cognition.
METHODS: Leveraging cross-sectional data from the Baltimore Longitudinal Study of Aging (BLSA) and the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS), we used item response theory to test for differential item functioning (DIF) by vision impairment (better eye presenting visual acuity worse than 20/40) and hearing impairment (better ear .5-4 kHz pure-tone average > 25 decibels).
RESULTS: We identified DIF by vision impairment for tests whose administrations do not rely on vision [e.g., Delayed Word Recall both in ARIC-NCS: .50 logit difference between impaired and unimpaired (p = .04) and in BLSA: .62 logits (p = .02)] and DIF by hearing impairment for tests whose administrations do not rely on hearing [Digit Symbol Substitution test in BLSA: 1.25 logits (p = .001) and Incidental Learning test in ARIC-NCS: .35 logits (p = .001)]. However, no individuals had differences between unadjusted and DIF-adjusted measures of greater than the standard error of measurement.
CONCLUSIONS: DIF by sensory impairment in cognitive tests was independent of administration characteristics, which could indicate that elevated cognitive load among persons with sensory impairment plays a larger role in test performance than previously acknowledged. While these results were unexpected, neither of these samples are nationally representative and each has unique selection factors; thus, replication is critical.

Entities:  

Keywords:  Bias; Cognition; Epidemiology; Hearing loss; Low vision; Neuropsychological tests

Mesh:

Year:  2021        PMID: 33896441      PMCID: PMC8546003          DOI: 10.1017/S1355617721000400

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   3.114


  40 in total

1.  Identification of measurement differences between English and Spanish language versions of the Mini-Mental State Examination. Detecting differential item functioning using MIMIC modeling.

Authors:  Richard N Jones
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

Review 2.  Item and scale differential functioning of the Mini-Mental State Exam assessed using the Differential Item and Test Functioning (DFIT) Framework.

Authors:  Leo S Morales; Claudia Flowers; Peter Gutierrez; Marjorie Kleinman; Jeanne A Teresi
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

3.  Hearing loss prevalence in the United States.

Authors:  Frank R Lin; John K Niparko; Luigi Ferrucci
Journal:  Arch Intern Med       Date:  2011-11-14

4.  Untreated poor vision: a contributing factor to late-life dementia.

Authors:  Mary A M Rogers; Kenneth M Langa
Journal:  Am J Epidemiol       Date:  2010-02-11       Impact factor: 4.897

5.  The prevalence of concurrent hearing and vision impairment in the United States.

Authors:  Bonnielin K Swenor; Pradeep Y Ramulu; Jeffery R Willis; David Friedman; Frank R Lin
Journal:  JAMA Intern Med       Date:  2013-02-25       Impact factor: 21.873

6.  Aging, hearing acuity, and the attentional costs of effortful listening.

Authors:  Patricia A Tun; Sandra McCoy; Arthur Wingfield
Journal:  Psychol Aging       Date:  2009-09

7.  Differences in Working Memory Capacity Affect Online Spoken Word Recognition: Evidence From Eye Movements.

Authors:  Gal Nitsan; Arthur Wingfield; Limor Lavie; Boaz M Ben-David
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

8.  Hearing Impairment and Incident Dementia and Cognitive Decline in Older Adults: The Health ABC Study.

Authors:  Jennifer A Deal; Josh Betz; Kristine Yaffe; Tamara Harris; Elizabeth Purchase-Helzner; Suzanne Satterfield; Sheila Pratt; Nandini Govil; Eleanor M Simonsick; Frank R Lin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-05-01       Impact factor: 6.053

9.  IRT studies of many groups: the alignment method.

Authors:  Bengt Muthén; Tihomir Asparouhov
Journal:  Front Psychol       Date:  2014-09-12

Review 10.  Perception and Cognition in the Ageing Brain: A Brief Review of the Short- and Long-Term Links between Perceptual and Cognitive Decline.

Authors:  Katherine L Roberts; Harriet A Allen
Journal:  Front Aging Neurosci       Date:  2016-03-01       Impact factor: 5.750

View more
  2 in total

1.  Accuracy of self- and proxy-rated hearing among older adults with and without cognitive impairment.

Authors:  Alexander S Kim; Joshua F Betz; Marilyn Albert; Jennifer A Deal; Sarah P Faucette; Esther S Oh; Nicholas S Reed; Frank R Lin; Carrie L Nieman
Journal:  J Am Geriatr Soc       Date:  2021-11-23       Impact factor: 7.538

Review 2.  Hearing Loss and Cognition: What We Know and Where We Need to Go.

Authors:  Danielle S Powell; Esther S Oh; Nicholas S Reed; Frank R Lin; Jennifer A Deal
Journal:  Front Aging Neurosci       Date:  2022-02-28       Impact factor: 5.702

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.