Energy Drink and Alcohol mixed Energy Drink use among high school adolescents: Association with risk taking behavior, social characteristics

2017 ◽  
Vol 72 ◽  
pp. 93-99 ◽  
Author(s):  
Marco Scalese ◽  
Francesca Denoth ◽  
Valeria Siciliano ◽  
Luca Bastiani ◽  
Rodolfo Cotichini ◽  
...  
Keyword(s):  
High School ◽  
Risk Taking ◽  
Energy Drink ◽  
Social Characteristics ◽  
Risk Taking Behavior

scholarly journals Risk-Taking Behavior and the Consumption of Alcohol Mixed with Energy Drink among Australian, Dutch and UK Students

2021 ◽  
Vol 18 (10) ◽  
pp. 5315
Author(s):  
Sean J. Johnson ◽  
Sarah Benson ◽  
Andrew Scholey ◽  
Chris Alford ◽  
Joris C. Verster
Keyword(s):  
Alcohol Consumption ◽  
The Netherlands ◽  
Risk Taking ◽  
Positive Relationship ◽  
Energy Drinks ◽  
Energy Drink ◽  
Energy Drink Consumption ◽  
Risk Taking Behavior ◽  
The Relationship ◽  
Level Of Risk

The relationship between risk-taking behavior, alcohol consumption and negative alcohol-related consequences is well known. The current analyses were conducted to investigate whether alcohol mixed with energy drink (AMED) is related to risk-taking behavior and if there is a relationship between the amount of energy drink mixed with alcohol consumed, risk-taking behavior and negative alcohol-related consequences. Data from N = 1276 AMED consuming students from the Netherlands, UK and Australia who completed the same survey were evaluated. The analysis revealed that, compared to AMED occasions, on alcohol only (AO) occasions significantly more alcohol was consumed and significantly more negative alcohol-related consequences were reported. On both AO and AMED occasions, there was a strong and positive relationship between amount of alcohol consumed, level of risk-taking behavior and number of reported negative alcohol-related consequences. In contrast, the level of risk-taking behavior was not clearly related to energy drink consumption. Across risk-taking levels, differences in the amount of energy drink consumed on AMED occasions did not exceed one 250 mL serving of energy drink. When correcting for the amount of alcohol consumed, there were no statistically significant differences in the number of energy drinks consumed on AMED occasions between the risk-taking groups. In conclusion, alcohol consumption is clearly related to risk-taking behavior and experiencing negative alcohol-related consequences. In contrast, energy drink intake was not related to level of risk-taking behavior and only weakly related to the number of experienced negative alcohol-related consequences.

Risk-taking behavior among high school students in South Korea

2001 ◽  
Vol 24 (4) ◽  
pp. 571-574 ◽  
Author(s):  
SUNGHYUN HAN ◽  
MINJA KIM CHOE ◽  
MYUNG-SUN LEE ◽  
SUN-HEE LEE
Keyword(s):  
High School ◽  
High School Students ◽  
South Korea ◽  
Risk Taking ◽  
School Students ◽  
Risk Taking Behavior

Impulsiveness and risk-taking behavior: comparison of high-school and college students using the Barratt Impulsiveness Scale

1996 ◽  
Vol 21 (6) ◽  
pp. 1073-1075 ◽  
Author(s):  
Matthew S. Stanford ◽  
Kevin W. Greve ◽  
Jill K. Boudreaux ◽  
Charles W. Mathias ◽  
Jennifer L. Brumbelow
Keyword(s):  
College Students ◽  
High School ◽  
Risk Taking ◽  
Barratt Impulsiveness Scale ◽  
Risk Taking Behavior

scholarly journals The Impact of Alcohol and Energy Drink Consumption on Intoxication and Risk-Taking Behavior

2013 ◽  
Vol 37 (7) ◽  
pp. 1234-1242 ◽  
Author(s):  
Amy Peacock ◽  
Raimondo Bruno ◽  
Frances H. Martin ◽  
Andrea Carr
Keyword(s):  
Risk Taking ◽  
Energy Drink ◽  
Energy Drink Consumption ◽  
Risk Taking Behavior ◽  
The Impact

Predicting Stock Market Performance

2020 ◽  
pp. 1-10
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter
Keyword(s):  
Stock Market ◽  
Risk Taking ◽  
Life Stress ◽  
Price Volatility ◽  
Individual Characteristics ◽  
Self Report ◽  
Financial Behavior ◽  
Market Simulation ◽  
Stock Market Performance ◽  
Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

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