The age differences of the mediation effect of emotion regulation between traits and emotion

2016 ◽  
Vol 48 (11) ◽  
pp. 1455 ◽  
Author(s):  
Li LUO ◽  
Min-Er HUANG
GeroPsych ◽  
2018 ◽  
Vol 31 (4) ◽  
pp. 205-213 ◽  
Author(s):  
Kathryn L. Ossenfort ◽  
Derek M. Isaacowitz

Abstract. Research on age differences in media usage has shown that older adults are more likely than younger adults to select positive emotional content. Research on emotional aging has examined whether older adults also seek out positivity in the everyday situations they choose, resulting so far in mixed results. We investigated the emotional choices of different age groups using video games as a more interactive type of affect-laden stimuli. Participants made multiple selections from a group of positive and negative games. Results showed that older adults selected the more positive games, but also reported feeling worse after playing them. Results supplement the literature on positivity in situation selection as well as on older adults’ interactive media preferences.


2010 ◽  
Vol 24 (3) ◽  
pp. 186-197 ◽  
Author(s):  
Sandra J. E. Langeslag ◽  
Jan W. Van Strien

It has been suggested that emotion regulation improves with aging. Here, we investigated age differences in emotion regulation by studying modulation of the late positive potential (LPP) by emotion regulation instructions. The electroencephalogram of younger (18–26 years) and older (60–77 years) adults was recorded while they viewed neutral, unpleasant, and pleasant pictures and while they were instructed to increase or decrease the feelings that the emotional pictures elicited. The LPP was enhanced when participants were instructed to increase their emotions. No age differences were observed in this emotion regulation effect, suggesting that emotion regulation abilities are unaffected by aging. This contradicts studies that measured emotion regulation by self-report, yet accords with studies that measured emotion regulation by means of facial expressions or psychophysiological responses. More research is needed to resolve the apparent discrepancy between subjective self-report and objective psychophysiological measures.


Mindfulness ◽  
2016 ◽  
Vol 7 (5) ◽  
pp. 1061-1070 ◽  
Author(s):  
Christy J. Dubert ◽  
Autumn M. Schumacher ◽  
Lawrence Locker ◽  
Antonio P. Gutierrez ◽  
Vernon A. Barnes

Gerontology ◽  
2019 ◽  
Vol 66 (1) ◽  
pp. 74-84
Author(s):  
Izelle Labuschagne ◽  
David J. Pedder ◽  
Julie D. Henry ◽  
Gill Terrett ◽  
Peter G. Rendell

2019 ◽  
pp. 1-10 ◽  
Author(s):  
Bruna Martins-Klein ◽  
Patricia M. Bamonti ◽  
Montgomery Owsiany ◽  
Aanand Naik ◽  
Jennifer Moye

2019 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Anna-Lena Schubert ◽  
Dirk Hagemann ◽  
Christoph Löffler ◽  
Gidon T. Frischkorn

Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it cannot be determined which specific processes give rise to this mediation effect. This makes it hard to decide whether these processes should be conceived of as a cause or an indicator of cognitive aging. In the present study, we addressed this question by using a neurocognitive psychometrics approach to decompose the association between age differences and fluid intelligence. Reanalyzing data from two previously published datasets containing 223 participants between 18 and 61 years, we investigated whether individual differences in diffusion model parameters and in ERP latencies associated with higher-order attentional processing explained the association between age differences and fluid intelligence. We demonstrate that individual differences in the speed of non-decisional processes such as encoding, response preparation, and response execution, and individual differences in latencies of ERP components associated with higher-order cognitive processes explained the negative association between age differences and fluid intelligence. Because both parameters jointly accounted for the association between age differences and fluid intelligence, age-related differences in both parameters may reflect age-related differences in anterior brain regions associated with response planning that are prone to be affected by age-related changes. Conversely, age differences did not account for the association between processing speed and fluid intelligence. Our results suggest that the relationship between age differences and fluid intelligence is multifactorially determined.


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