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Development of a subjective cognitive decline questionnaire using item response theory: A pilot study
INTRODUCTION: Subjective cognitive decline (SCD) may indicate unhealthy cognitive changes, but no standardized SCD measurement exists. This pilot study aimed to identify reliable SCD questions. METHODS: A total of 112 cognitively normal (NC; 76 ± 8 years; 63% female), 43 mild cognitive impairment (M...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750048/ https://www.ncbi.nlm.nih.gov/pubmed/26878034 http://dx.doi.org/10.1016/j.dadm.2015.09.004 |
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author | Gifford, Katherine A. Liu, Dandan Romano, Raymond R. Jones, Richard N. Jefferson, Angela L. |
author_facet | Gifford, Katherine A. Liu, Dandan Romano, Raymond R. Jones, Richard N. Jefferson, Angela L. |
author_sort | Gifford, Katherine A. |
collection | PubMed |
description | INTRODUCTION: Subjective cognitive decline (SCD) may indicate unhealthy cognitive changes, but no standardized SCD measurement exists. This pilot study aimed to identify reliable SCD questions. METHODS: A total of 112 cognitively normal (NC; 76 ± 8 years; 63% female), 43 mild cognitive impairment (MCI; 77 ± 7 years; 51% female), and 33 diagnostically ambiguous participants (79 ± 9 years; 58% female) were recruited from a research registry and completed 57 self-report SCD questions. Psychometric methods were used for item reduction. RESULTS: Factor analytic models assessed unidimensionality of the latent trait (SCD); 19 items were removed with extreme response distribution or trait-fit. Item response theory (IRT) provided information about question utility; 17 items with low information were dropped. Post hoc simulation using computerized adaptive test (CAT) modeling selected the most commonly used items (n = 9 of 21 items) that represented the latent trait well (r = 0.94) and differentiated NC from MCI participants (F [1, 146] = 8.9, P = .003). DISCUSSION: IRT and CAT modeling identified nine reliable SCD items. This pilot study is a first step toward refining SCD assessment in older adults. Replication of these findings and validation with Alzheimer's disease biomarkers will be an important next step for the creation of a SCD screener. |
format | Online Article Text |
id | pubmed-4750048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-47500482016-05-27 Development of a subjective cognitive decline questionnaire using item response theory: A pilot study Gifford, Katherine A. Liu, Dandan Romano, Raymond R. Jones, Richard N. Jefferson, Angela L. Alzheimers Dement (Amst) Cognitive & Behavioral Assessment INTRODUCTION: Subjective cognitive decline (SCD) may indicate unhealthy cognitive changes, but no standardized SCD measurement exists. This pilot study aimed to identify reliable SCD questions. METHODS: A total of 112 cognitively normal (NC; 76 ± 8 years; 63% female), 43 mild cognitive impairment (MCI; 77 ± 7 years; 51% female), and 33 diagnostically ambiguous participants (79 ± 9 years; 58% female) were recruited from a research registry and completed 57 self-report SCD questions. Psychometric methods were used for item reduction. RESULTS: Factor analytic models assessed unidimensionality of the latent trait (SCD); 19 items were removed with extreme response distribution or trait-fit. Item response theory (IRT) provided information about question utility; 17 items with low information were dropped. Post hoc simulation using computerized adaptive test (CAT) modeling selected the most commonly used items (n = 9 of 21 items) that represented the latent trait well (r = 0.94) and differentiated NC from MCI participants (F [1, 146] = 8.9, P = .003). DISCUSSION: IRT and CAT modeling identified nine reliable SCD items. This pilot study is a first step toward refining SCD assessment in older adults. Replication of these findings and validation with Alzheimer's disease biomarkers will be an important next step for the creation of a SCD screener. Elsevier 2015-10-09 /pmc/articles/PMC4750048/ /pubmed/26878034 http://dx.doi.org/10.1016/j.dadm.2015.09.004 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Cognitive & Behavioral Assessment Gifford, Katherine A. Liu, Dandan Romano, Raymond R. Jones, Richard N. Jefferson, Angela L. Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title | Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title_full | Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title_fullStr | Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title_full_unstemmed | Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title_short | Development of a subjective cognitive decline questionnaire using item response theory: A pilot study |
title_sort | development of a subjective cognitive decline questionnaire using item response theory: a pilot study |
topic | Cognitive & Behavioral Assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750048/ https://www.ncbi.nlm.nih.gov/pubmed/26878034 http://dx.doi.org/10.1016/j.dadm.2015.09.004 |
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