Literature DB >> 25344901

Development and psychometric properties of the instrumental activities of daily living: compensation scale.

Maureen Schmitter-Edgecombe1, Carolyn Parsey2, Richard Lamb3.   

Abstract

The Instrumental Activities of Daily Living - Compensation (IADL-C) scale was developed to capture early functional difficulties and to quantify compensatory strategy use that may mitigate functional decline in the aging population. The IADL-C was validated in a sample of cognitively healthy older adults (N=184) and individuals with mild cognitive impairment (MCI; N=92) and dementia (N=24). Factor analysis and Rasch item analysis led to the 27-item IADL-C informant questionnaire with four functional domain subscales (money and self-management, home daily living, travel and event memory, and social skills). The subscales demonstrated good internal consistency (Rasch reliability 0.80 to 0.93) and test-retest reliability (Spearman coefficients 0.70 to 0.91). The IADL-C total score and subscales showed convergent validity with other IADL measures, discriminant validity with psychosocial measures, and the ability to discriminate between diagnostic groups. The money and self management subscale showed notable difficulties for individuals with MCI, whereas difficulties with home daily living became more prominent for dementia participants. Compensatory strategy use increased in the MCI group and decreased in the dementia group.
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Aging; Compensatory strategies; Everyday functioning; Functional status; Mild cognitive impairment; Rasch analysis

Mesh:

Year:  2014        PMID: 25344901      PMCID: PMC4296159          DOI: 10.1093/arclin/acu053

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  44 in total

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9.  MCI is associated with deficits in everyday functioning.

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4.  Everyday functioning and cognitive correlates in healthy older adults with subjective cognitive concerns.

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5.  Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques.

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9.  Automatic assessment of functional health decline in older adults based on smart home data.

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