Literature DB >> 19254089

Free testosterone levels, attentional control, and processing speed performance in aging men.

Donel M Martin1, Nicholas R Burns, Gary Wittert.   

Abstract

Psychometric measures of processing speed are strong predictors of cognitive functioning with aging; however, the neurobiological mechanisms underlying this association remain unclear. Recently, the authors reported a negative association between calculated free testosterone levels (cEFT) and processing speed in men aged between 50 and 70 years (Martin, Wittert, Burns, & McPherson, 2008). Ex-Gaussian decomposition of reaction time (RT) distributions allows for the robust estimation of skew in the distribution, which may reflect poorer attentional control. In a reanalysis of data from this previous study, the authors examined the associations between age, cEFT levels, and ex-Gaussian parameters derived from four RT tasks as predictors of cognitive functioning performance in 96 middle-to-older aged men. Results indicated that cEFT levels were significantly associated with increased skew in the RT distribution (i.e., the exponential portion) but not with the estimates derived from the Gaussian portion of the curve. Further, path analysis across the entire data set showed that this association was a strong predictor of processing speed performance. Taken together these results suggest that cEFT levels moderate cognitive functioning performance in males via attentional control processes.

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Year:  2009        PMID: 19254089     DOI: 10.1037/a0014182

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  3 in total

1.  The Correlation among Neural Dynamic Processing of Conflict Control, Testosterone and Cortisol Levels in 10-Year-Old Children.

Authors:  Fangfang Shangguan; Tongran Liu; Xiuying Liu; Jiannong Shi
Journal:  Front Psychol       Date:  2017-06-22

2.  The Relationships Among Testosterone, Cortisol, and Cognitive Control of Emotion as Underlying Mechanisms of Emotional Intelligence of 10- to 11-Year-Old Children.

Authors:  Tongran Liu; Danfeng Li; Fangfang Shangguan; Jiannong Shi
Journal:  Front Behav Neurosci       Date:  2019-12-17       Impact factor: 3.558

Review 3.  Age differences in intra-individual variability in simple and choice reaction time: systematic review and meta-analysis.

Authors:  Dominika Dykiert; Geoff Der; John M Starr; Ian J Deary
Journal:  PLoS One       Date:  2012-10-11       Impact factor: 3.240

  3 in total

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