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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Verbal intelligence is a more robust cross-sectional measure of cognitive reserve than level of education in healthy older adults Boyle, R.; Knight, S. P.; De Looze, C.; Carey, D.; Scarlett, S.; Stern, Y.; Robertson, I. H.; Kenny, R. A.; Whelan, R. In: Alzheimers Res Ther (2021) Abstract: BACKGROUND: Cognitive reserve is most commonly measured using socio-behavioural proxy variables. These variables are easy to collect, have a straightforward interpretation, and are widely associated with reduced risk of dementia and cognitive decline in epidemiological studies. However, the specific proxies vary across studies and have rarely been assessed in complete models of cognitive reserve (i.e. alongside both a measure of cognitive outcome and a measure of brain structure). Complete models can test independent associations between proxies and cognitive function in addition to the moderation effect of proxies on the brain-cognition relationship. Consequently, there is insufficient empirical evidence guiding the choice of proxy measures of cognitive reserve and poor comparability across studies. METHOD: In a cross-sectional study, we assessed the validity of 5 common proxies (education, occupational complexity, verbal intelligence, leisure activities, and exercise) and all possible combinations of these proxies in 2 separate community-dwelling older adult cohorts: The Irish Longitudinal Study on Ageing (TILDA; N = 313, mean age = 68.9 years, range = 54–88) and the Cognitive Reserve/Reference Ability Neural Network Study (CR/RANN; N = 234, mean age = 64.49 years, range = 50–80). Fifteen models were created with 3 brain structure variables (grey matter volume, hippocampal volume, and mean cortical thickness) and 5 cognitive variables (verbal fluency, processing speed, executive function, episodic memory, and global cognition). RESULTS: No moderation effects were observed. There were robust positive associations with cognitive function, independent of brain structure, for 2 individual proxies (verbal intelligence and education) and 16 composites (i.e. combinations of proxies). Verbal intelligence was statistically significant in all models. Education was significant only in models with executive function as the cognitive outcome variable. Three robust composites were observed in more than two-thirds of brain-cognition models: the composites of (1) occupational complexity and verbal intelligence, (2) education and verbal intelligence, and (3) education, occupational complexity, and verbal intelligence. However, no composite had larger average effects nor was more robust than verbal intelligence alone. CONCLUSION: These results support the use of verbal intelligence as a proxy measure of CR in cross-sectional studies of cognitively healthy older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00870-z. Keyword: Research URL: http://www.ncbi.nlm.nih.gov/pubmed/34253231 https://doi.org/10.1186/s13195-021-00870-z http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276413/ BASE Hide details 2 Elmer L. Rice: A developmental study ... Braun, I. H. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 3 ANALYSIS OF THE STRESS-STRAIN STATE OF SPHERICAL SHELLS WITH THE HELP OF THREE-DIMENSIONAL ELEMENTS S N YAKUPOV; I H KIYAMOV In: Structural Mechanics of Engineering Constructions and Buildings, Vol 0, Iss 2, Pp 76-80 (2014) (2014) BASE Show details 4 UNGKAPAN BAHASA ALE RASA BETA RASA DALAM KOMUNIKASI SOSIAL DI MALUKU DAN PEMBENTUKAN KARAKTER Wenno, I. H. In: LiNGUA: Jurnal Ilmu Bahasa dan Sastra; Vol 6, No 2 (2011): LiNGUA ; 2442-3823 ; 1693-4725 (2012) BASE Show details 5 A Kippour, on ne mange pas ! Mavrogiannis, Pandelis; I, H; i, J. - : Langues - Musiques - Sociétés, 2011 BASE Show details 6 Les Juifs parlaient espagnol ! Mavrogiannis, Pandelis; I, H; I, J. - : Langues - Musiques - Sociétés, 2011 BASE Show details 7 Les Juifs parlaient espagnol ! ; Los Djudyós avlavan espanyol ! Mavrogiannis, Pandelis; I, H; I, J. - : Langues - Musiques - Sociétés, 2010 BASE Show details 8 JSFA: Interview #05 ; Judeo-Spanish in France Archive: Interview #05 Mavrogiannis, Pandelis; I, H; I, J. - : Langues - Musiques - Sociétés, 2010 BASE Show details 9 A Kippour, on ne mange pas ! ; A Kipur no komemos ! Mavrogiannis, Pandelis; I, H; I, J. - : Langues - Musiques - Sociétés, 2010 BASE Show details 10 Construction and three-way ordination of the Wheat Phenome Atlas Arief, V. N.; Kroonenberg, P. M.; DeLacy, I. H.. - : Dixie W Publishing Corporation, 2010 BASE Show details 11 The acoustics of Korean fricatives revisited Chang, C. B.. - : Hanshin Publishing Company, 2008 BASE Show details 12 Identifying Hierarchical Structure in Sequences: A linear-time algorithm ... Nevill-Manning, C. G.; Witten, I. H.. - : arXiv, 1997 BASE Show details 13 Probability-Driven Lexical Classification: A Corpus-Based Approach Tony Smith Department; D. Daelemans; D. Caplan... In: http://www.cs.waikato.ac.nz/~ihw/papers/95TCS-IHW-Probabil.pdf (1995) BASE Show details 14 FORMATTED FILE ORGANIZATION TECHNIQUES. Abraham, C. T.; Ghosh, S. P.; Lum, V. Y.... In: DTIC AND NTIS (1967) BASE Show details 15 The Terminology Work of IFIP and ICC Gould, I. H.; Tootill, G. C.. - : Oxford University Press, 1965 BASE Show details 16 2 Parallel function strategy in pronoun assignment * Ellen H. Grober; William Beardsley; Alfonso Caramazza... In: http://www.wjh.harvard.edu/~caram/PDFs/1978_Grober_Beardsley_Caramazza_COG.pdf BASE Show details 17 The Prosodic System of Japanese as a Subtype of Tone System: Evidence from Prinmi Picus Sizhi Ding; Tone I H L-h; L-h-h L-h-h-h... In: http://www.cunyphonologyforum.net/ENDANABSTRACTS/Ding.pdf BASE Show details 18 An efficient of Neural Address Predictor applies to Address Vector Quantisation codebook in speech processing. J. Srinonchat; S. Danaher; J. I. H. Allen... In: http://www.deria.ru/docs/other/specom_2004/51.pdf BASE Show details 19 DOI 10.1007/s00138-013-0567-0 SPECIAL ISSUE PAPER Discovering joint audio–visual codewords for video event detection I-hong Jhuo; Guangnan Ye; Shenghua Gao... In: http://www.iis.sinica.edu.tw/papers/dtlee/16318-F.pdf BASE Show details

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