Developmental changes and individual differences in risk and perspective taking in adolescence

2008 ◽  
Vol 20 (4) ◽  
pp. 1213-1229 ◽  
Author(s):  
Eveline A. Crone ◽  
L. Bullens ◽  
E. A. A. van der Plas ◽  
E. J. Kijkuit ◽  
P. D. Zelazo

AbstractDespite the assumed prevalence of risk-taking behavior in adolescence, the laboratory evidence of risk taking remains scarce, and the individual variation poorly understood. Drawing from neuroscience studies, we tested whether risk and reward orientation are influenced by the perspective that adolescents take when making risky decisions. Perspective taking was manipulated by cuing participants prior to each choice whether the decision was made for “self,” or from the perspective of an “other” (the experimenter in Experiment 1; a hypothetical peer in Experiment 2). In Experiment 1, we show a developmental decrease in risk-taking behavior across different stages of adolescence. In addition, all age groups made fewer risky choices for the experimenter, but the difference between self and other was larger in early adolescence. In Experiment 2, we show that high sensation-seeking (SS) adolescents make more risky choices than low SS adolescents, but both groups make a similar differentiation for other individuals (low risk-taking or high risk-taking peers). Together, the results show that younger adolescents and high SS adolescents make more risky choices for themselves, but can appreciate that others may make fewer risky choices. The developmental change toward more rational decisions versus emotional, impulsive decisions may reflect, in part, more efficient integration of others’ perspectives into one's decision making. These developmental results are discussed regarding brain systems important for risk taking and perspective taking.

2019 ◽  
Vol 8 (10) ◽  
pp. 1551 ◽  
Author(s):  
Trevor Steward ◽  
Asier Juaneda-Seguí ◽  
Gemma Mestre-Bach ◽  
Ignacio Martínez-Zalacaín ◽  
Nuria Vilarrasa ◽  
...  

Altered activity in decision-making neural circuitry may underlie the maladaptive food choices found in obesity. Here, we aimed to identify the brain regions purportedly underpinning risk-taking behavior in individuals with obesity. Twenty-three adult women with obesity and twenty-three healthy weight controls completed the Risky Gains Task during functional magnetic resonance imaging (fMRI). This task allows participants to choose between a safe option for a small, guaranteed monetary reward and risky options with larger rewards. fMRI analyses comparing losing trials to winning trials found that participants with obesity presented decreased activity in the left anterior insula in comparison to controls (p < 0.05, AlphaSim corrected). Moreover, left insula activation during losses vs. wins was negatively correlated with UPPS-P questionnaire sensation seeking scores. During safe vs. risky trials following a loss, the control group exhibited increased activation in the ventromedial prefrontal cortex (vmPFC) (p < 0.05, AlphaSim corrected) in comparison to the OB group. Moreover, vmPFC response in the obesity group during post-loss trials was negatively correlated with risky choices on the task overall. As a whole, our findings support that diminished tuning of the insula towards interoceptive signals may lead to a lack of input to the vmPFC when weighing the costs and benefits of risky choices.


2017 ◽  
Vol 35 (23-24) ◽  
pp. 5276-5291
Author(s):  
Alisa R. Garner ◽  
Laura C. Spiller ◽  
Patrick Williams

The purpose of this study was to examine whether a decision-making model of risk-taking behavior, specifically impulsivity, positive and negative outcome expectation, and sensation seeking, can be extended to motivation for perpetration of sexual coercion. Participants included 276 sexually active college students between the ages of 18 and 25 years old who completed a set of questionnaires: (a) Sexual Experiences Survey, (b) Sensation Seeking Scales, (c) Cognitive Appraisal of Risky Events, (d) Barratt Impulsiveness Scale, and (e) Reckless Behavior Questionnaire. Multiple regression analyses were utilized to examine the relationship between these decision-making models and sexually coercive behaviors. General risk-taking behaviors were positively correlated with acts of sexual coercion, r = .16, p < .01. The predictor variables accounted for a significant amount of the variance in sexual coercion, R2 = .11, F(4, 246) = 7.57, p < .01. Only sensation seeking contributed unique variance to our model of sexual coercion, β = .27, t = 4.06, p < .01. Interventions to reduce sexual coercion may be more successful if they target those high in risk-taking. Similarly, prevention efforts informed by research on how to engage and hold the attention of sensation seeking youth may be more successful.


2007 ◽  
Vol 35 (3) ◽  
pp. 351-358 ◽  
Author(s):  
Shih-Chieh Chuang ◽  
Chwen-Li Chang

How do mood states influence risk-taking and choice? This study was conducted to demonstrate and explain the relationship of mood, risk-taking, and choice. The results showed that participants were more likely to systematically display risk-taking behavior when in a negative mood than when in a positive mood. The mood effect was moderated by openness to feelings (OF) in the individual personality.


2017 ◽  
Vol 6 (1) ◽  
pp. 330 ◽  
Author(s):  
Ali Agilonu ◽  
Gulsum Bastug ◽  
Tonguc Osman Mutlu ◽  
Adem Pala

Extreme sports are sport branches which include actions, adventures, risks and difficulties more rather than other sports. Special materials are used in sport branches such as surfing, kite surfing, sailing, snowboarding, paragliding, diving, mountaineering, motor sports and adrenaline release is more rather than in other sport branches. On the contrary, the situation for being eager to seek excitement and take risks with a view to having new experiences has been observed. It has been considered whether sensation seeking requirement and risk-taking behavior had effects upon each other. The aim of the study was to analyze sensation seeking and risk-taking behavior in extreme athletes. Total 101 extreme athletes including 31 females, 70 males with an age average of 22.03 ± 6.77 participated in the research. In order to determine athletes’ sensation seeking levels, “Arnett Inventory of Sensation Seeking” developed by Arnett (1994) and in order to determine their risk-taking behavior, “Risk Involvement and Perception Scale” developed by Siegel et al. (1994) were used. In evaluation of research data, frequency analysis, independent t test, in determination of relation between risk-taking and sensation seeking, correlation test were utilized.In conclusion, significant differences were found in risk-taking behavior, sensation seeking requirement and gender variable among the extreme athletes. In the male athletes sensation seeking requirement and risk-taking behavior had higher averages than the female athletes. Among the extreme athletes, significant relations were determined between risk-taking behavior and sensation seeking requirement. When risk-taking behavior values were high, sensation seeking requirement values were regarded to be high.


2010 ◽  
Vol 107 (3) ◽  
pp. 699-712 ◽  
Author(s):  
Kara I. Gabriel ◽  
Ashley Williamson

Framing uncertain scenarios to emphasize potential positive or negative elements influences decision making and behavior. The current experiment investigated sex differences in framing effects on risk-taking propensity in a modified version of the Balloon Analogue Risk Task (BART). Male and female undergraduates completed questionnaires on sensation seeking, impulsiveness, and risk and benefit perception prior to viewing one of three framing conditions for the BART: (1) positively-framed instructions emphasizing the ability to earn money if balloons were inflated to large size; (2) negatively framed instructions emphasizing the possibility that money could be lost if balloons were inflated to bursting; and (3) completely framed instructions noting both possible outcomes. Results revealed correlations between BART performance and impulsiveness for both sexes. Compared to positive and complete framing, negatively framed instructions decreased balloon inflation time in women but not men, indicating sex differences in response to treatments designed to alter risk-taking behavior.


2019 ◽  
Vol 34 (5) ◽  
pp. 780-780
Author(s):  
M S DiFabio ◽  
T A Buckley

Abstract Purpose To examine relationships between head impact kinematics sustained over a season and competitive aggression and self-reported risk-taking behavior in collegiate club ice-hockey athletes. Methods Twenty male ice-hockey players (19.9±1.2 y.o, 1.8±0.06 m, 78.5±5.7 kg) completed the Competitive Anger and Aggression Scale (CAAS, Range:0-84) and the Brief Sensation Seeking Scale (BSSS, Range:8-40) during the preseason as measures of competitive aggression and risk-taking behavior with higher/lower reflecting higher/lower aggression and risk taking. Penalty minutes (PM) and games played (GP) were taken from official game records. Head impact kinematics (number of impacts, linear mean, peak, cumulative acceleration) were recorded by tri-axial accelerometers worn during games/practices. Spearman correlation was performed to examine relationships between variables. Results The mean number of impacts was 76.6±54.9 (range: 6–171); mean and cumulative acceleration were 36.3±4.2g (range:27.8–42.2g) and 2829.4±2024.9g (range:198.4–6527.2g), respectively. Neither CAAS (mean: 48.7±10.9, range: 24–64) nor BSSS scores (mean: 25.3±4.4, range:15–32) were significantly related to impact kinematics. GP was significantly correlated with number of impacts (r=.63, p=.003) and cumulative linear acceleration (r=.61, p=.004). PM was significantly correlated with number of impacts (r=.52, p=.20) and cumulative linear acceleration (r=.55, p=.13). Conclusion There were no relationships between the head impact kinematics and self-reported aggressiveness or risk taking behavior, but more PM was strongly related to higher head impact loads. Considering PM may be useful in aiding to identify athletes who may sustain higher head impact loads, however, self-reports of behavior may not be.


2011 ◽  
Vol 30 (2) ◽  
pp. 184-193 ◽  
Author(s):  
Lauren E. Popham ◽  
Shelia M. Kennison ◽  
Kristopher I. Bradley

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