Suvi P Rovio1, Katja Pahkala1, Jaakko Nevalainen2, Markus Juonala3, Pia Salo1, Mika Kähönen4, Nina Hutri-Kähönen5, Terho Lehtimäki6, Eero Jokinen7, Tomi Laitinen8, Leena Taittonen9, Päivi Tossavainen10, Jorma Viikari3, Juha O Rinne11, Olli T Raitakari1. 1. Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku. 2. School of Health Sciences, University of Tampere. 3. Department of Medicine, University of Turku. 4. Department of Clinical Physiology, University of Tampere. 5. Tampere University Hospital. 6. Department of Clinical Chemistry, Fimlab Laboratories. 7. Department of Paediatric Cardiology, Hospital for Children and Adolescents, University of Helsinki. 8. Department of Clinical Physiology, University of Eastern Finland. 9. Vaasa Central Hospital. 10. Department of Pediatrics, PEDEGO Research Unit, University of Oulu. 11. Turku PET Centre, University of Turku.
Abstract
OBJECTIVE: Age, education, and sex associate with cognitive performance. We investigated associations between age, sex, education, and cognitive performance in young or middle-aged adults and evaluated data reduction methods to optimally capture cognitive performance in our population-based data. METHOD: This study is part of the Cardiovascular Risk in Young Finns Study. The 3,596 randomly selected subjects (aged 3-18 years in 1980) have been followed up for 30 years. In 2011, a computer-based cognitive testing battery (the Cambridge Neuropsychological Test Automated Battery [CANTAB]) was used to assess several cognitive domains. Principal component analysis, categorical and standardized classifications were applied to the cognitive data. RESULTS: Among 34- to 49-year-old participants, cognitive performance declined with age, while education associated with better cognitive functions in several cognitive domains. Men had higher performance on all cognitive domains except visual or episodic memory, in which women outperformed men. The results were similar regardless of the data reduction method used. CONCLUSIONS: The associations between sex, age, education, and cognitive performance are already apparent in young adulthood or middle age. Principal component analyses, categorical and standardized classifications are useful tools to analyze CANTAB cognitive data. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
OBJECTIVE: Age, education, and sex associate with cognitive performance. We investigated associations between age, sex, education, and cognitive performance in young or middle-aged adults and evaluated data reduction methods to optimally capture cognitive performance in our population-based data. METHOD: This study is part of the Cardiovascular Risk in Young Finns Study. The 3,596 randomly selected subjects (aged 3-18 years in 1980) have been followed up for 30 years. In 2011, a computer-based cognitive testing battery (the Cambridge Neuropsychological Test Automated Battery [CANTAB]) was used to assess several cognitive domains. Principal component analysis, categorical and standardized classifications were applied to the cognitive data. RESULTS: Among 34- to 49-year-old participants, cognitive performance declined with age, while education associated with better cognitive functions in several cognitive domains. Men had higher performance on all cognitive domains except visual or episodic memory, in which women outperformed men. The results were similar regardless of the data reduction method used. CONCLUSIONS: The associations between sex, age, education, and cognitive performance are already apparent in young adulthood or middle age. Principal component analyses, categorical and standardized classifications are useful tools to analyze CANTAB cognitive data. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Authors: Saara Marttila; Suvi Rovio; Pashupati P Mishra; Ilkka Seppälä; Leo-Pekka Lyytikäinen; Markus Juonala; Melanie Waldenberger; Niku Oksala; Mika Ala-Korpela; Emily Harville; Nina Hutri-Kähönen; Mika Kähönen; Olli Raitakari; Terho Lehtimäki; Emma Raitoharju Journal: Sci Rep Date: 2021-04-28 Impact factor: 4.379
Authors: Aino Saarinen; Liisa Keltikangas-Järvinen; Henrik Dobewall; C Robert Cloninger; Ari Ahola-Olli; Terho Lehtimäki; Nina Hutri-Kähönen; Olli Raitakari; Suvi Rovio; Niklas Ravaja Journal: Brain Behav Date: 2022-09-01 Impact factor: 3.405