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Neuropsychology. 2016 Jul;30(5):532-42. doi: 10.1037/neu0000239. Epub 2015 Nov 2.

Cognitive performance in young adulthood and midlife: Relations with age, sex, and education-The Cardiovascular Risk in Young Finns Study.

Author information

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

PMID:
26523520
DOI:
10.1037/neu0000239
[Indexed for MEDLINE]

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