Ceiling effects and differential measurement precision across calibrated cognitive scores in the Framingham Study.


Journal

Neuropsychology
ISSN: 1931-1559
Titre abrégé: Neuropsychology
Pays: United States
ID NLM: 8904467

Informations de publication

Date de publication:
May 2023
Historique:
pmc-release: 01 05 2024
medline: 7 6 2023
pubmed: 5 6 2023
entrez: 5 6 2023
Statut: ppublish

Résumé

To calibrate cognitive assessment data across multiple waves of the Framingham Heart Study (FHS), addressing study design considerations, ceiling effects, and measurement precision. FHS participants completed several cognitive assessments including screening instruments and more comprehensive batteries at different study visits. We used expert opinion to assign each cognitive test item to a single domain-memory, executive function, language, visuospatial abilities, or none of the above. As part of a larger cross-study harmonization effort, we calibrated each domain separately using bifactor confirmatory factor analysis (CFA) models, incorporating item parameters for anchor items previously calibrated from other studies and freely estimating item parameters for FHS-specific items. We obtained scores and standard errors (SEs) for each participant at each study visit. We addressed psychometric considerations of ceiling effects and measurement precision. Overall, memory domain scores were the most precisely estimated. Scores for all domains from visits where the Mini-Mental State Examination (MMSE) was the only test administered were imprecisely estimated and suffered from ceiling effects. Scores from visits with a more extensive battery were estimated more precisely and better differentiated between ability levels. The harmonized and calibrated cognitive data from the FHS should prove useful for future analyses examining cognition and cognitive decline. They will be of particular interest when combining FHS with other studies that have been similarly calibrated. Researchers should be aware of varying levels of measurement precision and the possibility of ceiling effects in their planned analyses of data from the FHS and similar studies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifiants

pubmed: 37276135
pii: 2023-76851-003
doi: 10.1037/neu0000828
pmc: PMC10247160
mid: NIHMS1868185
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

383-397

Subventions

Organisme : NIA NIH HHS
ID : R01 AG019771
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010133
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG061028
Pays : United States
Organisme : NIA NIH HHS
ID : K25 AG055620
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG029672
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066509
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG006781
Pays : United States
Organisme : NIH HHS
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG066567
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92019D00031
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072976
Pays : United States

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Auteurs

Phoebe Scollard (P)

Department of Medicine, University of Washington.

Seo-Eun Choi (SE)

Department of Medicine, University of Washington.

Michael L Lee (ML)

Department of Medicine, University of Washington.

Shubhabrata Mukherjee (S)

Department of Medicine, University of Washington.

Emily H Trittschuh (EH)

Department of Psychiatry and Behavioral Sciences, University of Washington.

R Elizabeth Sanders (RE)

Department of Medicine, University of Washington.

Laura E Gibbons (LE)

Department of Medicine, University of Washington.

Prajakta Joshi (P)

Department of Anatomy and Neurobiology, Boston University School of Medicine.

Sherral Devine (S)

Department of Anatomy and Neurobiology, Boston University School of Medicine.

Rhoda Au (R)

Department of Anatomy and Neurobiology, Boston University School of Medicine.

Kristen Dams-O'Connor (K)

Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai.

Andrew J Saykin (AJ)

Department of Radiology and Imaging Services, Indiana University.

Sudha Seshadri (S)

Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio.

Alexa Beiser (A)

Framingham Heart Study, Boston University Alzheimer's Disease Research Center.

Hugo J Aparicio (HJ)

Framingham Heart Study, Boston University Alzheimer's Disease Research Center.

Joel Salinas (J)

Department of Neurology, New York University Grossman School of Medicine.

Mitzi M Gonzales (MM)

Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio.

Matthew P Pase (MP)

Faculty of Medicine, Turner Institute for Brain and Mental Health, Monash University.

Saptaparni Ghosh (S)

Framingham Heart Study, Boston University Alzheimer's Disease Research Center.

Rebecca Finney (R)

Framingham Heart Study, Boston University Alzheimer's Disease Research Center.

Jesse Mez (J)

Framingham Heart Study, Boston University Alzheimer's Disease Research Center.

Paul K Crane (PK)

Department of Medicine, University of Washington.

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Classifications MeSH