Cognitive Performance in Young Adulthood and Midlife: Relations With Age, Sex, and Education-The Cardiovascular Risk in Young Finns Study

Neuropsychology

Volumn 30, Issue 5, 2016, Pages 532-542

  Rovio, Suvi P ^a   Pahkala, Katja ^a,b   Nevalainen, Jaakko ^c   Juonala, Markus ^d   Salo, Pia ^a,c,e   Hutrikähönen, Nina ^c,e   Lehtimäki, Terho ^c,f   Jokinen, Eero ^g   Laitinen, Tomi ^h   Taittonen, Leena ^i,j   Tossavainen, Päivi ^j   Viikari, Jorma ^d   Rinne, Juha O ^d   Raitakari, Olli T ^a,b  

^a UNIVERSITY OF TURKU   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^d TURKU UNIVERSITY HOSPITAL   (Finland)

^e TAMPERE UNIVERSITY HOSPITAL   (Finland)

^f FIMLAB LABORATORIES   (Finland)

^g UNIVERSITY OF HELSINKI   (Finland)

^h KUOPIO UNIVERSITY HOSPITAL   (Finland)

ⁱ VAASA CENTRAL HOSPITAL   (Finland)

^j UNIVERSITY OF OULU   (Finland)

more..

Author keywords

Age; CANTAB; Cognitive performance; Education; Sex

Indexed keywords

ADULT; AGE; ARTICLE; CAMBRIDGE NEUROPSYCHOLOGICAL TEST AUTOMATED BATTERY; CARDIOVASCULAR RISK; CHILD; COGNITION; COGNITIVE FUNCTION TEST; COHORT ANALYSIS; CROSS-SECTIONAL STUDY; EDUCATIONAL STATUS; EPISODIC MEMORY; FEMALE; HUMAN; LONGITUDINAL STUDY; MALE; MENTAL PERFORMANCE; MIDDLE AGED; NORMAL HUMAN; POPULATION RESEARCH; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEX DIFFERENCE; VISUAL MEMORY; CARDIOVASCULAR DISEASES; FINLAND; NEUROPSYCHOLOGICAL TEST; RISK FACTOR;

ADULT; AGE FACTORS; CARDIOVASCULAR DISEASES; COGNITION; EDUCATIONAL STATUS; FEMALE; FINLAND; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; RISK FACTORS; SEX FACTORS;

EID: 84946093961     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000239     Document Type: Article

References (39)

1. Cobb, J. L., Wolf, P. A., Au, R., White, R., & D'Agostino, R. B. (1995). The effect of education on the incidence of dementia and Alzheimer's disease in the Framingham Study. Neurology, 45, 1707-1712. http://dx .doi.org/10.1212/WNL.45.9.1707.
2. De Luca, C. R.,Wood, S. J., Anderson, V., Buchanan, J.-A., Proffitt, T. M., Mahony, K., & Pantelis, C. (2003). Normative data from the CANTAB. I: Development of executive function over the lifespan. Journal of Clinical and Experimental Neuropsychology, 25, 242-254. http://dx.doi .org/10.1076/jcen.25.2.242.13639.
3. Durdiaková, J., Lakatosová, S., Kubranská, A., Laznibatová, J., Ficek, A., Ostatniková, D., & Celec, P. (2013). Mental rotation in intellectually gifted boys is affected by the androgen receptor CAG repeat polymor- phism. Neuropyschologia, 51, 1693-1698. http://dx.doi.org/10.1016/j .neuropsychologia.2013.05.016.
4. Evans, D. A., Hebert, L. E., Beckett, L. A., Scherr, P. A., Albert, M. S., Chown, M. J.,. Taylor, J. O. (1997). Education and other measures of socioeconomic status and risk of incident Alzheimer disease in a defined population of older persons. Archives of Neurology, 54, 1399-1405. http://dx.doi.org/10.1001/archneur.1997.00550230066019.
5. Hayden, K. M., McEvoy, J. M., Linnertz, C., Attix, D., Kuchibhatla, M., Saunders, A. M.,. Chiba-Falek, O. (2012). A homopolymer poly- morphism in the TOMM40 gene contributes to cognitive performance in aging. Alzheimer's & Dementia, 8, 381-388. http://dx.doi.org/10.1016/ j.jalz.2011.10.005/
6. Henderson, V. W., & Popat, R. A. (2011). Effects of endogenous and exogenous estrogen exposures in midlife and late-life women on epi- sodic memory and executive functions. Neuroscience, 191, 129-138. http://dx.doi.org/10.1016/j.neuroscience.2011.05.059/
7. Herlitz, A., Reuterskjöld, L., Lovén, J., Thilers, P. P., & Rehnman, J. (2013). Cognitive sex differences are not magnified as a function of age, sex hormones, or puberty development during early adolescence. De- velopmental Neuropsychology, 38, 167-179. http://dx.doi.org/10.1080/ 87565641.2012.759580.
8. Jack, C. R., Jr., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S.,. Trojanowski, J. Q. (2013). Tracking patho- physiological processes in Alzheimer's disease: An updated hypothetical model of dynamic biomarkers. The Lancet Neurology, 12, 207-216. http://dx.doi.org/10.1016/S1474-4422(12)70291-0.
9. Jausovec, N., & Jausovec, K. (2012). Sex differences in mental rotation and cortical activation patterns: Can training change them? Intelligence, 40, 151-162. http://dx.doi.org/10.1016/j.intell.2012.01.005.
10. Karp, A., Kåreholt, I., Qiu, C., Bellander, T.,Winblad, B., & Fratiglioni, L. (2004). Relation of education and occupation-based socioeconomic sta- tus to incident Alzheimer's disease. American Journal of Epidemiology, 159, 175-183.
11. Kemppainen, N. M., Aalto, S., Karrasch, M., Någren, K., Savisto, N., Oikonen, V.,. Rinne, J. O. (2008). Cognitive reserve hypothesis: Pittsburgh Compound B and fluorodeoxyglucose positron emission to- mography in relation to education in mild Alzheimer's disease. Annals of Neurology, 63, 112-118. http://dx.doi.org/10.1002/ana.21212/.
12. Koepsell, T. D., Kurland, B. F., Harel, O., Johnson, E. A., Zhou, X. H., & Kukull, W. A. (2008). Education, cognitive function, and severity of neuropathology in Alzheimer disease. Neurology, 70, 1732-1739. http:// dx.doi.org/10.1212/01.wnl.0000284603.85621.aa.
13. Li, R., & Singh, M. (2014). Sex differences in cognitive impairment and Alzheimer's disease. Frontiers in Neuroendocrinology, 35, 385-403. http://dx.doi.org/10.1016/j.yfrne.2014.01.002.
14. Luck, T., Luppa, M., Briel, S., & Riedel-Heller, S. G. (2010). Incidence of mild cognitive impairment: A systematic review. Dementia and Geriat- ric Cognitive Disorders, 29, 164-175. http://dx.doi.org/10.1159/ 000272424.
15. Luine, V. N. (2014). Estradiol and cognitive function: Past, present and future. Hormones and Behavior, 66, 602-618. http://dx.doi.org/10.1016/ j.yhbeh.2014.08.011.
16. Majer, M., Nater, U. M., Lin, J.-M. S., Capuron, L., & Reeves, W. C. (2010). Association of childhood trauma with cognitive function in healthy adults: A pilot study. BMC Neurology, 10, 61. http://dx.doi.org/ 10.1186/1471-2377-10-61.
17. May, A. (2011). Experience-dependent structural plasticity in the adult human brain. Trends in Cognitive Sciences, 15, 475-482. http://dx.doi .org/10.1016/j.tics.2011.08.002.
18. McDowell, I., Xi, G., Lindsay, J., & Tierney, M. (2007). Mapping the connections between education and dementia. Journal of Clinical and Experimental Neuropsychology, 29, 127-141. http://dx.doi.org/10.1080/ 13803390600582420.
19. Miller, D. I., & Halpern, D. F. (2014). The new science of cognitive sex differences. Trends in Cognitive Sciences, 18, 37-45. http://dx.doi.org/ 10.1016/j.tics.2013.10.011.
20. Moffat, S. D., Zonderman, A. B., Metter, E. J., Blackman, M. R., Harman, S. M., & Resnick, S. M. (2002). Longitudinal assessment of serum free testosterone concentration predicts memory performance and cognitive status in elderly men. The Journal of Clinical Endocrinology and Me- tabolism, 87, 5001-5007. http://dx.doi.org/10.1210/jc.2002-020419.
21. Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014). Mild cognitive impairment: A concept in evolu- tion. Journal of Internal Medicine, 275, 214-228. http://dx.doi.org/10 .1111/joim.12190.
22. Prince, M., Bryce, R., Albanese, E., Wimo, A., Ribeiro, W., & Ferri, C. P. (2013). The global prevalence of dementia: A systematic review and metaanalysis. Alzheimer's & Dementia, 9, 63-75. e2. http://dx.doi.org/ 10.1016/j.jalz.2012.11.007.
23. Raitakari, O. T., Juonala, M., Rönnemaa, T., Keltikangas-Järvinen, L., Räsänen, L., Pietikäinen, M.,. Viikari, J. S. A. (2008). Cohort profile: The cardiovascular risk in Young Finns Study. International Journal of Epidemiology, 37, 1220-1226.
24. Raznahan, A., Lee, Y., Stidd, R., Long, R., Greenstein, D., Clasen, L.,. Giedd, J. N. (2010). Longitudinally mapping the influence of sex and androgen signaling on the dynamics of human cortical maturation. Proceedings of the National Academy of Sciences of the United States of America, 107, 16988-16993. http://dx.doi.org/10.1073/pnas .1006025107
25. Robbins, T. W., James, M., Owen, A. M., Sahakian, B. J., McInnes, L., & Rabbitt, P. (1994). Cambridge Neuropsychological Test Automated Bat- tery (CANTAB): A factor analytic study of a large sample of normal elderly volunteers. Dementia, 5, 266-281.
26. Roe, C. M., Xiong, C., Miller, J. P., & Morris, J. C. (2007). Education and Alzheimer disease without dementia: Support for the cognitive reserve hypothesis. Neurology, 68, 223-228. http://dx.doi.org/10.1212/01.wnl .0000251303.50459.8a.
27. Salthouse, T. A. (2014). Correlates of cognitive change. Journal of Exper- imental Psychology: General, 143, 1026-1048. http://dx.doi.org/10 .1037/a0034847.
28. Schultz, K. M., Molenda-Figueira, H., & Sisk, C. L. (2009). Back to the future: The organizational-activational hypothesis adapted to puberty and adolescence. Hormones and Behavior, 55, 597-604. http://dx.doi .org/10.1016/j.yhbeh.2009.03.010.
29. Simpson, E. E. A., Maylor, E. A., Rae, G., Meunier, N., Andriollo- Sanchez, M., Catasta, G.,. Coudray, C. (2005). Cognitive function in healthy older European adults: The ZENITH study. European Journal of Clinical Nutrition, 59(Suppl. 2), S26-S30. http://dx.doi.org/10.1038/sj .ejcn.1602294.
30. Smith, P. J., Need, A. C., Cirulli, E. T., Chiba-Falek, O., & Attix, D. K. (2013). A comparison of the Cambridge Automated Neuropsychological Test Battery (CANTAB) with "traditional" neuropsychological testing instruments. Journal of Clinical and Experimental Neuropsychology, 35, 319-328. http://dx.doi.org/10.1080/13803395.2013.771618.
31. Solomon, A., Manhialasche, F., Richard, E., Andrieu, S., Bennett, D. A., Breteler, M.,. Kivipelto, M. (2014). Advances in the prevention of Alzheimer's disease and dementia. Journal of Internal Medicine, 275, 229-250. http://dx.doi.org/10.1111/joim.12178.
32. Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer's disease. The Lancet Neurology, 11, 1006-1012. http://dx.doi.org/10.1016/S1474- 4422(12)70191-6.
33. Stern, Y., Gurland, B., Tatemichi, T. K., Tang, M. X., Wilder, D., & Mayeux, R. (1994). Influence of education and occupation on the inci- dence of Alzheimer's disease. Journal of the American Medical Asso- ciation, 271, 1004-1010. http://dx.doi.org/10.1001/jama.1994 .03510370056032.
34. Thilers, P. P., MacDonald, S. W., & Herlitz, A. (2006). The association between endogenous free testosterone and cognitive performance: A population-based study in 35 to 90 year-old men and women. Psycho- neuroendocrinology, 31, 565-576. http://dx.doi.org/10.1016/j.psyneuen .2005.12.005.
35. Tucker-Drob, E. M. (2011). Global and domain-specific changes in cog- nition throughout adulthood. Developmental Psychology, 47, 331-343. http://dx.doi.org/10.1037/a0021361.
36. Vuoksimaa, E., Kaprio, J., Eriksson, C. J., & Rose, R. J. (2012). Pubertal testosterone predicts mental rotation performance of young adult males. Psychoneuroendocrinology, 37, 1791-1800. http://dx.doi.org/10.1016/j .psyneuen.2012.03.013.
37. Weaver Cargin, J., Maruff, P., Collie, A., & Masters, C. (2006). Mild memory impairment in healthy older adults is distinct from normal aging. Brain and Cognition, 60, 146-155. http://dx.doi.org/10.1016/j .bandc.2005.10.004.
38. Weber, D., Skirbekk, V., Freund, I., & Herlitz, A. (2014). The changing face of cognitive gender differences in Europe. Proceedings of the National Academy of Sciences of the United States of America, 111, 11673-11678. http://dx.doi.org/10.1073/pnas.1319538111.
39. Wild, K., Howieson, D., Webbe, F., Seelye, A., & Kaye, J. (2008). Status of computerized cognitive testing in aging: A systematic review. Alz- heimer's & Dementia, 4, 428-437. http://dx.doi.org/10.1016/j.jalz.2008 .07.003.