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Predicting cognitive decline: Comparative analysis of ANU-ADRI, CAIDE, CogDrisk, LIBRA, LIBRA2, UKBDRS and Lancet based dementia risk scores in the HUNT study

  • Josephine Stubs*
  • , Geir Selbaek
  • , Bjorn Heine Strand
  • , Gill Livingston
  • , Kaarin J. Anstey
  • , Kay Deckers
  • , Mika Kivimaki
  • , Steinar Krokstad
  • , Fiona E. Mathews
  • , Ellen Melbye Langballe
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objective: To evaluate and compare the predictive value of eight dementia risk scores for late-life cognitive function and cognitive decline; ANU-ADRI, CAIDE, CogDrisk, LIBRA, LIBRA2, UKBDRS(-APOE), and a Lancet commission-based risk score. Methods: Using Norwegian Tr & oslash;ndelag Health Study (HUNT) data, we calculated risk scores from lifestyle and health data of 7221 dementia-free participants (mean age: 76.8 years, 54.1% female) collected in HUNT3 (2006-2008). Cognitive function was assessed using the Montreal Cognitive Assessment scale (MoCA) 11 years later in HUNT4 70+, and reassessed in 4716 participants 4 years thereafter. Associations between continuous risk scores or risk score tertiles, cognition and cognitive decline were examined using linear mixed-effects models. Logistic regression models were used to test associations between risk scores and a >= 3-point decline in MoCA scores. Results: All risk scores were significantly associated with cognitive function and cognitive decline. Associations with cognitive function ranged from UKBDRS (3 per 1SD=-1.61(95%CI:-1.72,-1.51) to CAIDE ((3=-0.74;95%CI:0.82,-0.67), and with yearly cognitive decline from Lancet ((3=-0.23;95%CI:-0.27,-0.18) to CAIDE ((3=-0.04;95% CI:-0.07,-0.02). High-low risk group differences in cognitive function were largest for CogDrisk ((3=-3.04;95%CI:3.27,-2.81), LIBRA ((3=-3.04;95%CI:-3.27,-2.80) and lowest for CAIDE ((3=-1.65;95%CI:-1.86,-1.44). High-risk groups showed the steepest decline for UKBDRS-APOE ((3=-0.43;95%CI:-0.52,-0.34), Lancet ((3=-0.39;95%CI:0.48,-0.30), and LIBRA ((3=-0.38;95%CI:-0.47,-0.28). All scores predicted >= 3-point decline modestly: AUCs were highest for UKBDRS (AUC=0.61;95%CI:0.60,0.63), UKBDRS-APOE (0.61;95%CI:0.60,0.63), CogDrisk (0.60;95% CI:0.58,0.62), and Lancet (0.60;95%CI:0.58,0.61), but none outperformed a model including age and education alone (0.61;95%CI:0.60,0.63). Conclusion: Risk scores captured meaningful gradients in cognition and decline but offered limited discriminatory accuracy beyond demographics, supporting their use for prevention-oriented risk profiling rather than prediction.
Original languageEnglish
Article number100524
Number of pages10
JournalJPAD-Journal of prevention of alzheimers disease
Volume13
Issue number4
Early online date1 Feb 2026
DOIs
Publication statusPublished - 1 Apr 2026

Keywords

  • Dementia risk index
  • Modifiable risk factors
  • HUNT
  • Lifestyle risk
  • Aging
  • Cognitive decline
  • PREVENTION
  • INTERVENTION
  • LIFE

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