Alden L Gross1, Pranali Y Khobragade2, Erik Meijer2, Judith A Saxton2. 1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. 2. Center for Economic and Social Research, University of Southern California, Los Angeles, California.
Abstract
OBJECTIVES: To test whether a relatively complex model of human cognitive abilities based on Cattell-Horn-Carroll (CHC) theory, developed mainly in English-speaking samples, adequately describes correlations among tests in the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD), and to develop accurate measures of cognition for older individuals in India. DESIGN: LASI-DAD participants were recruited from participants aged 60 years and older from 14 states in the core LASI survey, with a stratified sampling design. SETTING: Participants were interviewed at home or in a participating hospital, according to their preferences. PARTICIPANTS: Community-residing older adults aged 60 years and older (N = 3,224). MEASUREMENTS: A variety of cognitive tests were administered during two pretests and chosen for their appropriateness for measuring cognition in older adults in India and suitability for calibration with the core LASI survey and the Harmonized Cognitive Assessment Protocol. RESULTS: We evaluated the factor structure of the test battery and its conformity with a classical CHC factor model that incorporated measurement models for general cognition, five broad domains (orientation, executive functioning, language/fluency, memory, and visuospatial), and five narrow domains (reasoning, attention/speed, immediate memory, delayed memory, and recognition memory) of cognitive performance. Model fit was adequate (root mean square error of approximation = 0.051; comparative fit index = 0.916; standardized root mean squared residual = 0.060). CONCLUSION: We demonstrated configural factorial invariance of a cognitive battery in the Indian LASI-DAD using CHC theory. Broad domain factors may be used in future research to rank individuals with respect to cognitive performance and classify cognitive impairment. J Am Geriatr Soc 68:S11-S19, 2020.
OBJECTIVES: To test whether a relatively complex model of human cognitive abilities based on Cattell-Horn-Carroll (CHC) theory, developed mainly in English-speaking samples, adequately describes correlations among tests in the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD), and to develop accurate measures of cognition for older individuals in India. DESIGN:LASI-DADparticipants were recruited from participants aged 60 years and older from 14 states in the core LASI survey, with a stratified sampling design. SETTING:Participants were interviewed at home or in a participating hospital, according to their preferences. PARTICIPANTS: Community-residing older adults aged 60 years and older (N = 3,224). MEASUREMENTS: A variety of cognitive tests were administered during two pretests and chosen for their appropriateness for measuring cognition in older adults in India and suitability for calibration with the core LASI survey and the Harmonized Cognitive Assessment Protocol. RESULTS: We evaluated the factor structure of the test battery and its conformity with a classical CHC factor model that incorporated measurement models for general cognition, five broad domains (orientation, executive functioning, language/fluency, memory, and visuospatial), and five narrow domains (reasoning, attention/speed, immediate memory, delayed memory, and recognition memory) of cognitive performance. Model fit was adequate (root mean square error of approximation = 0.051; comparative fit index = 0.916; standardized root mean squared residual = 0.060). CONCLUSION: We demonstrated configural factorial invariance of a cognitive battery in the Indian LASI-DAD using CHC theory. Broad domain factors may be used in future research to rank individuals with respect to cognitive performance and classify cognitive impairment. J Am Geriatr Soc 68:S11-S19, 2020.
Authors: Paul K Crane; Emily Trittschuh; Shubhabrata Mukherjee; Andrew J Saykin; R Elizabeth Sanders; Eric B Larson; Susan M McCurry; Wayne McCormick; James D Bowen; Thomas Grabowski; Mackenzie Moore; Julianna Bauman; Alden L Gross; C Dirk Keene; Thomas D Bird; Laura E Gibbons; Jesse Mez Journal: Alzheimers Dement Date: 2017-06-15 Impact factor: 21.566
Authors: Alden L Gross; Dan M Mungas; Paul K Crane; Laura E Gibbons; Anna MacKay-Brandt; Jennifer J Manly; Shubhabrata Mukherjee; Heather Romero; Bonnie Sachs; Michael Thomas; Guy G Potter; Richard N Jones Journal: Psychol Aging Date: 2015-11-02
Authors: Jinkook Lee; Pranali Y Khobragade; Joyita Banerjee; Sandy Chien; Marco Angrisani; Arokiasamy Perianayagam; David E Bloom; Aparajit B Dey Journal: J Am Geriatr Soc Date: 2020-08 Impact factor: 5.562
Authors: Jet M J Vonk; Alden L Gross; Andrea R Zammit; Laiss Bertola; Justina F Avila; Roos J Jutten; Leslie S Gaynor; Claudia K Suemoto; Lindsay C Kobayashi; Megan E O'Connell; Olufisayo Elugbadebo; Priscilla A Amofa; Adam M Staffaroni; Miguel Arce Rentería; Indira C Turney; Richard N Jones; Jennifer J Manly; Jinkook Lee; Laura B Zahodne Journal: PLoS One Date: 2022-02-25 Impact factor: 3.240