Cognitive Trajectories in Community-Dwelling Older Adults and Incident Dementia, Disability and Death: A 10-Year Longitudinal Study

被引:12
作者
Wu, Zimu [1 ]
Woods, Robyn L. [1 ]
Chong, Trevor T. J. [2 ,3 ,4 ]
Orchard, Suzanne G. [1 ]
Shah, Raj C. [5 ,6 ]
Wolfe, Rory [1 ]
Storey, Elsdon [1 ]
Sheets, Kerry M. [7 ]
Murray, Anne M. [8 ]
McNeil, John J. [1 ]
Ryan, Joanne [1 ]
机构
[1] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[2] Monash Univ, Turner Inst Brain & Mental Hlth, Melbourne, Vic, Australia
[3] Alfred Hlth, Dept Neurol, Melbourne, Vic, Australia
[4] St Vincents Hosp, Dept Clin Neurosci, Melbourne, Vic, Australia
[5] Rush Univ, Med Ctr, Dept Family Med, Chicago, IL 60612 USA
[6] Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA
[7] Hennepin Healthcare, Dept Med, Div Geriatr & Palliat Med, Minneapolis, MN USA
[8] Hennepin Healthcare Res Inst, Berman Ctr Outcomes & Clin Res, Minneapolis, MN USA
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会; 美国国家卫生研究院;
关键词
aging; cognition; dementia; activities of daily living; death; longitudinal; PROCESSING-SPEED; REDUCING EVENTS; TERMINAL DECLINE; LATE-LIFE; ASSOCIATION; ASPIRIN; FRAILTY; MEMORY; INTERVENTION; PERFORMANCE;
D O I
10.3389/fmed.2022.917254
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThe inter-individual variability in cognitive changes may be early indicators of major health events. We aimed to determine whether late-life cognitive trajectories were associated with incident dementia, persistent physical disability and all-cause mortality. MethodsData came from a cohort of older community-dwelling individuals aged 70 years or above in Australia and the United States. Global cognition, verbal fluency, episodic memory and psychomotor speed were assessed regularly at up to seven waves between 2010 and 2017. Dementia, disability in activities of daily living, and death were adjudicated between 2017 and 2020. Latent classes of cognitive trajectories over seven years were determined using group-based trajectory modeling. Multivariable logistic regression was used for the prospective associations between cognitive trajectories and these outcomes. ResultsCognitive trajectories were defined for 16,174 participants (mean age: 78.9 years; 56.7% female) who were alive and without incident dementia or disability by 2017, among which 14,655 participants were included in the association analysis. Between three and five trajectory classes were identified depending on the cognitive test. Cognitive trajectories were strongly associated with the risk of dementia. For example, compared to those in the highest-functioning trajectory, the worst performers of episodic memory had a 37-fold increased risk of dementia (95% CI: 17.23-82.64). The lowest trajectories of both global cognition and episodic memory also predicted increased mortality risk (OR: 1.80, 95% CI: 1.28-2.52; OR: 1.61, 95% CI: 1.09-2.36, respectively), while only slow psychomotor speed was marginally associated with physical disability (OR: 2.39, 95% CI: 0.99-5.77). ConclusionsIn older individuals, cognitive trajectories appear to be early indicators of clinically relevant health outcomes. Systematic cognitive assessments as part of routine geriatric evaluation may facilitate early identification and interventions for those individuals at highest risk.
引用
收藏
页数:11
相关论文
共 50 条
[1]   Detection of visuoperceptual deficits in preclinical and mild Alzheimer's disease [J].
Alegret, Montse ;
Boada-Rovira, Merce ;
Vinyes-Junque, Georgina ;
Valero, Sergi ;
Espinosa, Ana ;
Hernandez, Isabel ;
Modinos, Gemma ;
Rosende-Roca, Maitee ;
Mauleon, Ana ;
Becker, James T. ;
Tarraga, Lluis .
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY, 2009, 31 (07) :860-867
[2]   Effect of long-term omega 3 polyunsaturated fatty acid supplementation with or without multidomain intervention on cognitive function in elderly adults with memory complaints (MAPT): a randomised, placebo-controlled trial [J].
Andrieu, Sandrine ;
Guyonnet, Sophie ;
Coley, Nicola ;
Cantet, Christelle ;
Bonnefoy, Marc ;
Bordes, Serge ;
Bories, Lawrence ;
Cufi, Marie-Noelle ;
Dantoine, Thierry ;
Dartigues, Jean-Francois ;
Desclaux, Francoise ;
Gabelle, Audrey ;
Gasnier, Yannick ;
Pesce, Alain ;
Sudres, Kristel ;
Touchon, Jacques ;
Robert, Philippe ;
Rouaud, Olivier ;
Legrand, Philippe ;
Payoux, Pierre ;
Caubere, Jean-Paul ;
Weiner, Michael ;
Carrie, Isabelle ;
Ousset, Pierre-Jean ;
Vellas, Bruno .
LANCET NEUROLOGY, 2017, 16 (05) :377-389
[3]   Latent Class Growth Modelling: A Tutorial [J].
Andruff, Heather ;
Carraro, Natasha ;
Thompson, Amanda ;
Gaudreau, Patrick ;
Louvet, Benoit .
TUTORIALS IN QUANTITATIVE METHODS FOR PSYCHOLOGY, 2009, 5 (01) :11-24
[4]   Terminal change in cognitive function: An updated review of longitudinal studies [J].
Bosworth, HB ;
Siegler, IC .
EXPERIMENTAL AGING RESEARCH, 2002, 28 (03) :299-315
[5]   The Dynamic Relationship Between Physical Function and Cognition in Longitudinal Aging Cohorts [J].
Clouston, Sean A. P. ;
Brewster, Paul ;
Kuh, Diana ;
Richards, Marcus ;
Cooper, Rachel ;
Hardy, Rebecca ;
Rubin, Marcie S. ;
Hofer, Scott M. .
EPIDEMIOLOGIC REVIEWS, 2013, 35 :33-50
[7]  
DElia LF., 1996, Color trails test: Professional manual
[8]   Age changes in processing speed as a leading indicator of cognitive aging [J].
Finkel, Deborah ;
McArdle, John J. ;
Reynolds, Chandra A. ;
Pedersen, Nancy L. .
PSYCHOLOGY AND AGING, 2007, 22 (03) :558-568
[9]  
Fish J., 2011, Encyclopedia of clinical neuropsychology, P111, DOI 10.1007/978-0-387-79948-31791
[10]   Frailty in older adults: Evidence for a phenotype [J].
Fried, LP ;
Tangen, CM ;
Walston, J ;
Newman, AB ;
Hirsch, C ;
Gottdiener, J ;
Seeman, T ;
Tracy, R ;
Kop, WJ ;
Burke, G ;
McBurnie, MA .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2001, 56 (03) :M146-M156