The association of sociodemographic factors with total and item-level semantic fluency metrics.
Magdalena Beran, Emma L Twait, Annelot P Smit, Marleen F Posthuma, Demi van Dijk, Katherinne M Rabanal, Dayanara Rosado, Roxanna J Flores, Carolyn L Qian, Shana S Samuel and 7 more
Article in Neuropsychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
17 authors.
Magdalena BeranDepartment of Epidemiology and Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University.ORCID 0000-0002-9950-5759
Emma L TwaitDepartment of Epidemiology and Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University.ORCID 0000-0002-3071-2717
Annelot P SmitDepartment of Epidemiology and Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University.
Marleen F PosthumaDepartment of Linguistics, Faculty of Arts, University of Groningen.
Demi van DijkDepartment of Linguistics, Faculty of Arts, University of Groningen.
Katherinne M RabanalTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.
Dayanara RosadoTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.
Roxanna J FloresTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.
Carolyn L QianTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.
Shana S SamuelTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.
Gelan YingDepartment of Clinical and Health Psychology, University of Florida.
Richard MayeuxTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.ORCID 0000-0001-6519-9696
Thomas T van SlotenDepartment of Internal Medicine, School for Cardiovascular Diseases, Cardiovascular Research Institute Maastricht, Maastricht University.ORCID 0000-0003-2870-482X
Miranda T SchramDepartment of Internal Medicine, School for Cardiovascular Diseases, Cardiovascular Research Institute Maastricht, Maastricht University.ORCID 0000-0001-8113-7604
Jennifer J ManlyTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University.ORCID 0000-0002-9481-7497
Mirjam I GeerlingsDepartment of Epidemiology and Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University.ORCID 0000-0002-4037-036X
Jet M J VonkDepartment of Epidemiology and Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University.ORCID 0000-0002-1808-8843
Funding
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
VASCULAR FACTORS AND MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASEP01AG007232 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SCHUPF, NICOLE · 1989 to 2008
$21.7M
Epidemiological and Genetic Investigations of Blood-Based Biomarkers for Alzheimer's Disease in the Multiethnic, Washington Heights, Inwood, Columbia Aging Project (WHICAP)R01AG072474 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRICKMAN, ADAM M, MANLY, JENNIFER JAIE · 2021 to 2025
$13.3M
Epidemiology of Biomarkers of Risk and Progression in LOADR01AG037212 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, SCHUPF, NICOLE · 2010 to 2015
$10.1M
Genetic Epidemiology of Cerebrovascular Factors in Alzheimer's DiseaseRF1AG054023 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2016 to 2018
$8.9M
Genetic Epidemiology of Alzheimer's Disease in African AmericansR01AG028786 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MANLY, JENNIFER JAIE · 2007 to 2011
$7.3M
Preclinical markers of Alzheimer's disease using psycholinguistic semantic measuresR00AG066934 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VONK, JET M.J. · 2022 to 2024
$1.2M
Preclinical markers of Alzheimer's disease using psycholinguistic semantic measuresK99AG066934 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VONK, JET M.J. · 2020 to 2021
$262k
Alzheimer NederlandNCATS NIH HHS UL1 TR001873Netherlands Organisation for Health Research and DevelopmentNetherlands Organisation for Scientific Research; Netherlands Organisation for Health Research and DevelopmentNIA NIH HHS K99 AG066934NIA NIH HHS P01 AG007232NIA NIH HHS R00 AG066934NIA NIH HHS R01 AG028786NIA NIH HHS R01 AG037212NIA NIH HHS R01 AG072474NIA NIH HHS RF1 AG054023
6 · The paper itself
Abstract
objectiveWe aimed to estimate the association of age, education, and sex/gender with semantic fluency performance as measured by the standard total number of words as well as novel item-level metrics and to descriptively compare associations across cohorts with different recruitment strategies and sample compositions.
methodCross-sectional data from 2,391 individuals from three cohorts were used: Washington Heights/Inwood Columbia Aging Project, a community-based cohort; Second Manifestations of ARTerial disease-Magnetic Resonance, a clinic-based cohort; and African American Alzheimer's Disease Genetics Study, a volunteer-based cohort. Total number of correct words and six item-level semantic fluency metrics were included as main outcomes: average cluster size, number of cluster switches, lexical/Zipf frequency, age of acquisition, and lexical decision response time. General linear models were run separately in each cohort to model the association between sociodemographic variables and semantic fluency metrics.
resultsAcross cohorts, older age was associated with a lower total score and fewer cluster switches. Higher level of education was associated with naming more words, performing more cluster switches, and naming words with a longer lexical decision response time, lower frequency of occurrence, or later age of acquisition. Being female compared to male was associated with naming fewer words, smaller cluster sizes, naming words with a longer lexical decision response time, and lower age of acquisition. The effects varied in strength but were in a similar direction across cohorts.
conclusionsItem-level semantic fluency metrics-similar to the standard total score-are sensitive to the effects of age, education, and sex/gender. The results suggest geographical, cultural, and cross-linguistic generalizability of these sociodemographic effects on semantic fluency performance. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
The association of sociodemographic factors with total and item-level semantic fluency metrics. · full record | OpenQuestion