Risk-taking and contraceptive behavior among unmarried college students

1981 ◽  
Vol 4 (3) ◽  
pp. 174-188 ◽  
Author(s):  
J. R. Foreit ◽  
K. G. Foreit
Keyword(s):  
College Students ◽  
Risk Taking ◽  
Contraceptive Behavior

scholarly journals Subclinical ADHD-Symptoms Are Associated with Executive-Functioning and Externalizing Problems in College Students without ADHD-Diagnoses

2016 ◽  
Vol 6 (1) ◽  
pp. 204 ◽  
Author(s):  
Allen J. Brown ◽  
Beth M. Casey
Keyword(s):  
College Students ◽  
Executive Functioning ◽  
Problem Behaviors ◽  
Risk Taking ◽  
Behavioral Problems ◽  
Clinical Sample ◽  
Adhd Symptoms ◽  
Oppositional Defiant ◽  
Students With Adhd ◽  
Inattentive Type

<p>This study investigated whether problem behaviors,<strong> </strong>typically associated with a clinical diagnosis of ADHD, would also be associated with subclinical ADHD symptoms within a non-clinical college sample. These are symptoms characteristic of ADHD, which are insufficient to warrant a DSM-IV diagnosis of ADHD. Self-ratings of behaviors known to be comorbid with ADHD (Oppositional-Defiant Disorder (ODD) behaviors, risk-taking, and Executive-Functioning (EF) problems) were examined as predictors of self-ratings of ADHD symptoms. Measures of ODD symptoms, risk-taking, and EF behavioral problems (related to poor management of time) significantly predicted ADHD symptoms, as measured by Barkley’s ADHD Combined Subscale. These predictors accounted for 26% of the variance. The same measures predicted symptoms of ADHD, Inattentive type, as measured by Barkley’s Inattentiveness (IA) Subscale, and accounted for 30% of the variance. For the Hyperactivity-Impulsivity Subscale (HI), the ODD measure significantly entered the equation, while the other two measures were borderline significant, accounting altogether for 10% of the variance. As hypothesized, the EF measure was the strongest predictor for IA, and the ODD measure was the strongest predictor for HI. In conclusion, problem behaviors comorbid with a formal clinical ADHD diagnosis were found to be significantly associated with subclinical ADHD symptoms within a non-clinical sample of college students, as indicated by the substantial proportion of the variance they accounted for in predicting the Barkley’s’ Combined and Inattentiveness Subscales, and to a lessor extent for the Hyperactivity/Impulsivity Subscale. This indicates that college students with ADHD symptoms may have substantial problems not only with their ADHD symptoms, but also with executive functioning and externalizing behaviors associated with these symptoms.</p>

Alcohol mixed energy drink usage and risk-taking among college students in Western New York State

2020 ◽  
pp. 1-14
Author(s):  
Adam M. Graczyk ◽  
Lucia A. Leone ◽  
Heather Orom ◽  
Amanda M. Ziegler ◽  
Amanda K. Crandall ◽  
...  
Keyword(s):  
College Students ◽  
New York ◽  
Risk Taking ◽  
New York State ◽  
Energy Drink ◽  
York State

Risk-Taking Behaviors and Subgrouping of College Students

2013 ◽  
Vol 7 (6) ◽  
pp. 475-481 ◽  
Author(s):  
Asghar Mohammadpoorasl ◽  
Abbas Abbasi Ghahramanloo ◽  
Hamid Allahverdipour
Keyword(s):  
College Students ◽  
High Risk ◽  
Risk Taking ◽  
Parental Support ◽  
Latent Class ◽  
Risky Behaviors ◽  
Negative Consequences ◽  
Familial Support ◽  
Risk Takers ◽  
Risk Taking Behaviors

Risk-taking behaviors have negative consequences on adolescent and young adult’s health. The aim of this study was to identify the subgroups of college students on the basis of risk-taking behaviors and to assess the role of demographic characteristics, religious beliefs, and parental support on membership of specific subgroup. The cross-sectional study took place in Tabriz (northwest of Iran) in April and May of 2011. The randomly selected sample consisted of 1,837 college students. A survey questionnaire was used to collect data. Latent class analysis was performed to achieve the study’s objectives. Four latent classes were identified: (a) low risk, (b) cigarette and hookah smoker, (c) sexual and drinking risk-takers (for males)/sexual risk takers (for females), and (d) high risk. Notably, 13.3% of the males and 4.3% of the females were in the high-risk class. The results identified evidence of protective influence of familial support and religiosity on risky behaviors. A fair number of college students, males in particular, were identified as high risk-takers. Design and implementation of preventive interventions for this segment of the population are necessary. Higher level of familial support and religiosity may serve as preventive factors in risk-taking behaviors.

scholarly journals Relationships Between Creativity and its Antecedents Before and After Training: The Role of Risk-Taking and Past Creative Experience

2017 ◽  
Vol 4 (1) ◽  
pp. 80-98
Author(s):  
Anna Perry ◽  
Elena Karpova
Keyword(s):  
College Students ◽  
Risk Taking ◽  
Before And After ◽  
Creative Experience

Abstract This research examined the effects of past creative experience and attitude toward risk-taking on creativity before and after training. College students enrolled in a creativity course participated in the study. Creativity was assessed by independent experts and self-assessed by the participants. Based on the results, an inverted U-shape relationship was proposed between (a) past creative experience and risk-taking, and (b) risk-taking and self-assessed creativity. Risk-taking was related to self-assessed creativity before and after the training, but not expert-assessed creativity. Past creative experience was not related to creativity, self and expert-assessed, before and after the training.

Exploration of Academic Risk Taking Among College Students

2018 ◽  
Vol 5 (2) ◽  
pp. 17-29
Author(s):  
M. Keith Wright ◽  
Utpal Bose ◽  
Shohreh Hashemi ◽  
Diana Pence
Keyword(s):  
College Students ◽  
Risk Taking ◽  
Risk Preferences ◽  
New Method ◽  
Future Research ◽  
Academic Risk ◽  
Conventional Methods ◽  
Student Risk

This article presents and experimentally tests a new method for measuring student risk preferences where monetary outcomes are not directly involved. The authors call this new method the Lazy Professor Risk Task (LPRT). This article compares the LPRT's results to popular conventional methods where monetary outcomes are involved. The results show that the new method is capable of producing consistent responses at approximately the same rate as comparable conventional methods. In addition, the method produced responses that were no noisier than conventional methods. It is hoped that future research can perfect this new method and use it to compare classroom risk taking to risk taking in other domains.

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