|Title||Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India).|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Authors||Vonk, JMJ, Gross, AL, Zammit, AR, Bertola, L, Avila, JF, Jutten, RJ, Gaynor, LS, Suemoto, CK, Kobayashi, LC, O'Connell, ME, Elugbadebo, O, Amofa, PA, Staffaroni, AM, Rentería, MArce, Turney, IC, Jones, RN, Manly, JJ, Lee, J, Zahodne, LB|
|Keywords||Cognition, cognitive aging, Episodic, HCAP, India, Language, LASI-DAD, Memory, Neuropsychological tests|
BACKGROUND: As global populations age, cross-national comparisons of cognitive health and dementia risk are increasingly valuable. It remains unclear, however, whether country-level differences in cognitive function are attributable to population differences or bias due to incommensurate measurement. To demonstrate an effective method for cross-national comparison studies, we aimed to statistically harmonize measures of episodic memory and language function across two population-based cohorts of older adults in the United States (HRS HCAP) and India (LASI-DAD).
METHODS: Data for 3,496 HRS HCAP (≥65 years) and 3,152 LASI-DAD (≥60 years) participants were statistically harmonized for episodic memory and language performance using confirmatory factor analysis (CFA) methods. Episodic memory and language factor variables were investigated for differential item functioning (DIF) and precision.
RESULTS: CFA models estimating episodic memory and language domains based on a priori adjudication of comparable items fit the data well. DIF analyses revealed that four out of ten episodic memory items and five out of twelve language items measured the underlying construct comparably across samples. DIF-modified episodic memory and language factor scores showed comparable patterns of precision across the range of the latent trait for each sample.
CONCLUSIONS: Harmonization of cognitive measures will facilitate future investigation of cross-national differences in cognitive performance and differential effects of risk factors, policies, and treatments, reducing study-level measurement and administrative influences. As international aging studies become more widely available, advanced statistical methods such as those described in this study will become increasingly central to making universal generalizations and drawing valid conclusions about cognitive aging of the global population.
|PubMed Central ID||PMC8880818|
|Grant List||U01 AG064948 / AG / NIA NIH HHS / United States |
U01 AG009740 / AG / NIA NIH HHS / United States
K01 AG050699 / AG / NIA NIH HHS / United States
P30 AG059300 / AG / NIA NIH HHS / United States
U01 AG058499 / AG / NIA NIH HHS / United States
P30 AG066587 / AG / NIA NIH HHS / United States
R13 AG030995 / AG / NIA NIH HHS / United States
K23 AG061253 / AG / NIA NIH HHS / United States
R01 AG070953 / AG / NIA NIH HHS / United States
K01 AG054700 / AG / NIA NIH HHS / United States
R01 AG054520 / AG / NIA NIH HHS / United States
R01 AG051125 / AG / NIA NIH HHS / United States
K99 AG066934 / AG / NIA NIH HHS / United States
RF1 AG055273 / AG / NIA NIH HHS / United States
K99 AG066932 / AG / NIA NIH HHS / United States