Cognitive aging Dotaz Zobrazit nápovědu
Archives of gerontology and geriatrics. Supplement ; 1 (1989)
viii, 255 stran : ilustrace, tabulky ; 27 cm
Aging ; vol. 18
xi, 257 s. : il., tab. ; 24 cm
- MeSH
- demence patofyziologie MeSH
- nemoci mozku patofyziologie MeSH
- nervový systém patofyziologie MeSH
- neurokognitivní poruchy patofyziologie MeSH
- stárnutí fyziologie MeSH
- Publikační typ
- sborníky MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- neurologie
- psychiatrie
- geriatrie
BACKGROUND: Considering the world's rapidly increasing life expectancy, with people working and maintaining active lifestyles longer than ever before, addressing the effects of aging on cognition is of utmost importance. A greater understanding of cognitive aging may also be critical in distinguishing natural cognitive aging from pre-clinical stages of Alzheimer's disease and related cognitive disorders. OBJECTIVE: To systematically examine the association between aging and cognitive performance in a cognitively and otherwise healthy probability population-based sample using a computer-based method. METHODS: This cross-sectional study enrolled 673 cognitively and otherwise healthy participants aged 25-89 years (mean age 52.3±14.2 years, 52.5% of whom were female) from the Kardiovize study cohort. Mild cognitive impairment and dementia cases were excluded, followed by measurement of cognitive performance with the computer-administered Cogstate Brief Battery. We used ANCOVA and Modified Signed-Likelihood Ratio tests to examine patterns of cognition across age groups. RESULTS: We found a gradual decrease in cognitive performance across the lifespan, which required two decades to demonstrate significant changes. In contrast to attention and learning, psychomotor speed and working memory showed the most significant age-related decrease and variability in performance. The established pattern of cognitive aging was not altered by sex or education. CONCLUSION: These findings corroborate, validate, and extend the current understanding of natural cognitive aging and pinpoint specific cognitive domains with the most extensive age-related interindividual differences. This will contribute to the development of strategies to preserve cognition with aging and may also serve to improve early diagnostics of cognitive disorders using computer-based methods.
- MeSH
- Alzheimerova nemoc * psychologie MeSH
- kognice MeSH
- kognitivní dysfunkce * diagnóza psychologie MeSH
- lidé MeSH
- neuropsychologické testy MeSH
- průřezové studie MeSH
- senioři MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
OBJECTIVE: To compare cognitive phenotypes of participants with subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI), estimate progression to MCI/dementia by phenotype and assess classification error with machine learning. METHOD: Dataset consisted of 163 participants with SCD and 282 participants with aMCI from the Czech Brain Aging Study. Cognitive assessment included the Uniform Data Set battery and additional tests to ascertain executive function, language, immediate and delayed memory, visuospatial skills, and processing speed. Latent profile analyses were used to develop cognitive profiles, and Cox proportional hazards models were used to estimate risk of progression. Random forest machine learning algorithms reported cognitive phenotype classification error. RESULTS: Latent profile analysis identified three phenotypes for SCD, with one phenotype performing worse across all domains but not progressing more quickly to MCI/dementia after controlling for age, sex, and education. Three aMCI phenotypes were characterized by mild deficits, memory and language impairment (dysnomic aMCI), and severe multi-domain aMCI (i.e., deficits across all domains). A dose-response relationship between baseline level of impairment and subsequent risk of progression to dementia was evident for aMCI profiles after controlling for age, sex, and education. Machine learning more easily classified participants with aMCI in comparison to SCD (8% vs. 21% misclassified). CONCLUSIONS: Cognitive performance follows distinct patterns, especially within aMCI. The patterns map onto risk of progression to dementia.
- MeSH
- fenotyp MeSH
- kognice MeSH
- kognitivní dysfunkce * komplikace MeSH
- lidé MeSH
- mozek MeSH
- neuropsychologické testy MeSH
- senioři MeSH
- stárnutí MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
OBJECTIVE: While subjective cognitive decline (SCD) is gaining ground as a "preclinical" risk state for Alzheimer disease, its utility depends on our understanding of the factors linked to SCD. Rarely examined sociocultural factors including perceptions of aging may relate to the subjective experience of cognitive aging. Identifying such associations will help to refine the utility of SCD as an early marker of AD while setting the stage for addressing modifiable factors contributing to SCD. METHODS: The study consisted of N=136 participants (68% female; 73% White; 22% Black race, age mean =74.72; education mean =16.01). Questionnaires assessed SCD, depressive symptoms, and age perceptions (essentialist aging beliefs, subjective age, age group identification, and explicit/implicit age stereotypes). Cognitive functioning was measured with a semantic interference and learning task. RESULTS: SCD was correlated with essentialist aging beliefs, age identification, and depressive symptoms [ rrange =0.18 to 0.22, Prange =0.009 to 0.02, confidence interval (CI) range =0.00-0.39]. Essentialist aging beliefs were correlated with subjective age and age group identification ( rrange =0.22 to 0.42, Prange <0.001 to 0.003, CI range =0.08-0.57). Both age group identification and essentialism were correlated with depressive symptoms ( rrange =0.22, Prange =0.009 to 0.01, CI range =0.04-0.39). In the adjusted regression model including depressive symptoms, age perceptions, and SCD, only SCD was associated with cognition ( b =-0.31, P <0.001). CONCLUSION: Although correlated with SCD, perceptions of aging do not explain the relationship between SCD and performance on a sensitive cognitive test among older adults.
BACKGROUND: The number of older people with cognitive impairment is increasing worldwide. Impaired lung function might be associated with cognitive decline in older age; however, results from large longitudinal studies are lacking. In this study, we examined the longitudinal associations between pulmonary function and the trajectories of cognitive decline using prospective population-based SHARE data from 14 countries. METHODS: The analytic sample included N = 32,049 older adults (Mean age at baseline = 64.76 years). The dependent variable was cognitive performance, measured repeatedly across six waves in three domains: verbal fluency, memory, and numeracy. The main predictor of interest was peak expiratory flow (PEF). The data were analyzed in a multilevel accelerated longitudinal design, with models adjusted for a variety of covariates. RESULTS: A lower PEF score was associated with lower cognitive performance for each domain as well as a lower global cognitive score. These associations remained statistically significant after adjusting for all covariates Q4 vs Q1 verbal fluency: unstandardized coefficient B = -3.15; numeracy: B = -0.52; memory: B = -0.64; global cognitive score B = -2.65, all p < .001). However, the PEF score was not found to be associated with the rate of decline for either of the cognitive outcomes. CONCLUSIONS: In this large multi-national longitudinal study, the PEF score was independently associated with lower levels of cognitive functions, but it did not predict a future decline. The results suggest that pre-existing differences in lung functions are responsible for variability in cognitive functions and that these differences remained stable across aging.
- MeSH
- kognice MeSH
- kognitivní dysfunkce * epidemiologie MeSH
- lidé MeSH
- longitudinální studie MeSH
- plíce MeSH
- prospektivní studie MeSH
- senioři MeSH
- stárnutí * psychologie MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Retirement represents a crucial transitional period for many adults with possible consequences for cognitive aging. We examined trajectories of cognitive change before and after retirement in Black and White adults. METHODS: Longitudinal examination of up to 10 years (mean = 7.1 ± 2.2 years) using data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study-a national, longitudinal study of Black and White adults ≥45 years of age. Data were from 2226 members of the REGARDS study who retired around the time when an occupational ancillary survey was administered. Cognitive function was an average of z-scores for tests of verbal fluency, memory, and global function. RESULTS: Cognitive functioning was stable before retirement (Estimate = 0.05, p = 0.322), followed by a significant decline after retirement (Estimate = -0.15, p < 0.001). The decline was particularly pronounced in White (Estimate = -0.19, p < 0.001) compared with Black (Estimate = -0.07, p = 0.077) participants, twice as large in men (Estimate = -0.20, p < 0.001) compared with women (Estimate = -0.11, p < 0.001), highest among White men (Estimate = -0.22, p < 0.001) and lowest in Black women (Estimate = -0.04, p = 0.457). Greater post-retirement cognitive decline was also observed among participants who attended college (Estimate = -0.14, p = 0.016). While greater work complexity (Estimate = 0.92, p < 0.05) and higher income (Estimate = 1.03, p < 0.05) were related to better cognitive function at retirement, neither was significantly related to cognitive change after retirement. CONCLUSION: Cognitive functioning may decline at an accelerated rate immediately post-retirement, more so in White adults and men than Black adults and women. Lifelong structural inequalities including occupational segregation and other social determinants of cognitive health may obscure the role of retirement in cognitive aging.
- MeSH
- důchod MeSH
- kognice MeSH
- kognitivní dysfunkce * psychologie MeSH
- kognitivní stárnutí * MeSH
- lidé MeSH
- longitudinální studie MeSH
- senioři MeSH
- stárnutí psychologie MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, P.H.S. MeSH
The purpose of this study is to examine the effects of the selected non-pharmacological lifestyle activities on the delay of cognitive decline in normal aging. This was done by conducting a literature review in the four acknowledged databases Web of Science, Scopus, MEDLINE, and Springer, and consequently by evaluating the findings of the relevant studies. The findings show that physical activities, such as walking and aerobic exercises, music therapy, adherence to Mediterranean diet, or solving crosswords, seem to be very promising lifestyle intervention tools. The results indicate that non-pharmacological lifestyle intervention activities should be intense and possibly done simultaneously in order to be effective in the prevention of cognitive decline. In addition, more longitudinal randomized controlled trials are needed in order to discover the most effective types and the duration of these intervention activities in the prevention of cognitive decline, typical of aging population groups.
- MeSH
- chůze MeSH
- cvičení fyziologie MeSH
- kognitivní dysfunkce prevence a kontrola MeSH
- kognitivní poruchy prevence a kontrola MeSH
- lidé MeSH
- stárnutí fyziologie MeSH
- životní styl * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Acta neurologica scandinavica, ISSN 0065-1427 Supplement Vol. 96. 172
86 s. : il. ; 32 cm