scispace - formally typeset
Search or ask a question

The relationship between anxiety and risk-taking behavior? 


Best insight from top research papers

Anxiety has a complex relationship with risk-taking behavior in adolescents. Research indicates that anxious adolescents exhibit unique brain-behavior associations during decision-making, taking longer to make decisions in the face of approach-avoidance conflict . Antecedent economic anxiety can lead to both increased risk-averse decision-making and increased risky decision-making, mediated by different brain regions . Moreover, moderate risk-taking under temporal pressure and information ambiguity is associated with automatic physiological and emotional reactivity, particularly in individuals with higher state anxiety scores . Additionally, anxiety and depression positively predict the occurrence of risky behaviors in adolescents, along with factors like suicidal thoughts and peer influences . Overall, anxiety can influence risk-taking behaviors through various neural, physiological, and psychological mechanisms in adolescents.

Answers from top 5 papers

More filters
Papers (5)Insight
Anxiety positively predicts risky behaviors in adolescents, along with factors like having friends who smoke and suicidal thoughts, as indicated in the study.
Open accessJournal ArticleDOI
23 Citations
Fear and anxiety tend to decrease risk-taking behavior, as indicated by the meta-analysis. This relationship highlights the influence of emotions on decision-making processes.
Open accessJournal ArticleDOI
Kyle Nash, Josh Leota, Alex Tran 
29 Jan 2021-Scientific Reports
10 Citations
Anxiety can both increase and decrease risk-taking behavior, with neural activation in regions like the insula and vmPFC influencing decision-making processes in response to economic anxiety.
Participants with higher state anxiety scores exhibited better skin conductance response model fitting under temporal pressure, leading to increased moderate risk-taking behaviors during rapid decision-making under ambiguity.
Anxious adolescents show longer decision-making times and unique fronto-striatal brain activity. Anxiety correlates with cautious choices over risk-taking, revealing altered neural mechanisms in risky decision-making during adolescence.

Related Questions

Is there a relationship between anxiety and behavior problems?5 answersThere is a relationship between anxiety and behavior problems in children and young people (CYP). Poor sleep quality has been associated with externalizing behavior problems, and anxiety partially mediates this relationship. Additionally, electronic screen time has been found to be associated with dental anxiety and uncooperative behavior in children. Kindergarteners who exhibit behavior problems and anxiety also show deficits in social skills. Anxious children are more likely to engage in behavioral sleep-related problems compared to non-anxious children, according to parental perceptions.
How do behavioral addictions effect risk taking behaviors?5 answersBehavioral addictions can have an effect on risk-taking behaviors. Studies have shown that individuals with behavioral addictions exhibit higher risk-taking tendencies and compromised probability judgment. Novelty preference, which is associated with behavioral addictions, has been found to enhance risk-taking choices. Adolescents who engage in risk-taking behaviors, such as substance use and online risk-taking, are more likely to develop behavioral addictions. The differential developmental trajectories of brain regions involved in motivation and control processes may contribute to increased risk-taking behavior in individuals with behavioral addictions. These findings suggest that behavioral addictions can lead to an increase in risk-taking behaviors, which may be influenced by factors such as cognitive biases, novelty preference, and developmental changes in the brain.
How is self-esteem related to risky behavior?5 answersSelf-esteem is related to risky behavior in various contexts. In the context of risky sexual behavior among adolescents and young adults, higher self-esteem was associated with early sexual debut and decreased condom use among females. Additionally, self-esteem, both as a general trait and when temporarily changed, was found to be positively related to the propensity to take financial risks in the domains of investment and gambling. Furthermore, self-esteem was found to be related to sexting behavior among adults and was evaluated in relation to risky sexual behavior. In the context of risk-taking sport activities, recent research has challenged the notion that these activities solely satisfy sensation-seeking needs. Lastly, self-esteem was found to influence self-other decision making under risk, with individuals with high self-esteem being more risk-seeking and individuals with low self-esteem being more risk-averse in certain situations.
Is there any correlation between risk taking behavior and self confidence?3 answersThere is a correlation between risk-taking behavior and self-confidence. Research studies have shown that individuals' confidence in their own financial literacy plays a role in explaining the gender gap in investment in risky assets, indicating that confidence is a strong determinant of risky financial behavior. Additionally, self-confidence has been found to be related to risk-taking behavior among university students, with higher self-confidence being associated with lower levels of risk-taking. Furthermore, professionals in the accounting field perceive a correlation between their self-confidence and their opinion regarding the aspects that influence judgment and decision-making in accounting. These findings suggest that self-confidence can influence an individual's propensity for risk-taking behavior.
What is risk anxiety?5 answersRisk anxiety refers to the fear and worry individuals experience in relation to potential risks or dangers. It is a state of heightened concern about the possibility of harm or negative outcomes. The concept of risk anxiety has been explored in various contexts, including data breaches, urban society, childhood, and financial decision-making. In the context of data breaches, individuals may experience anxiety about the risk of identity theft or fraud resulting from the breach. In urban society, risk anxiety is associated with the presence of dereliction, private security, and the perception of hidden dangers. In relation to childhood, risk anxiety is linked to concerns about the safety and well-being of children, as well as the perceived threats to the institution of childhood itself. In financial decision-making, risk anxiety can manifest as heightened risk aversion towards imminent risks compared to distant risks. Overall, risk anxiety reflects the psychological and emotional response to potential risks and the uncertainties they entail.
Does risk-taking lead to high performance?4 answersRisk-taking behavior has been found to have a significant impact on performance outcomes. Research by Atkinson suggests that the amplitude and persistence of an individual's action tendency, which are indicators of risk-taking behavior, play a role in determining the level of performance achieved. Additionally, a study by Colquitt et al. found that trustworthiness and trust propensity, which are related to risk-taking behavior, have a positive relationship with job performance. Furthermore, Singh's research indicates that risk-taking behavior in organizational decision making can have a positive indirect relationship with organizational performance, mediated by factors such as organizational slack and decentralization. These findings suggest that risk-taking behavior can lead to high performance outcomes in both individual and organizational contexts.

See what other people are reading

Domains in teaching dyslexia
5 answers
Teaching dyslexia involves focusing on various domains to effectively support students with dyslexia. These domains include phonological sensitivity, phonemic awareness, decoding, spelling, and morphology. Additionally, understanding the cognitive abilities of dyslexic learners in reading and memory domains is crucial, with tutoring potentially impacting self-assessment accuracy. Flexibility in teaching strategies and the use of design thinking and gamification can create engaging learning experiences for dyslexic students, emphasizing the importance of collaborative and individual educational practices. Furthermore, dyslexia can impact not only literacy but also other subjects like mathematics and science, with factors such as phonological, orthographic, and morphological skills, as well as visual attention, temporal processing, and working memory playing significant roles in understanding and addressing dyslexia.
What are the cognitive effect of vape on student mental health author?
5 answers
The cognitive effects of vaping on student mental health have been a topic of interest in recent research. Studies have shown that e-cigarette use among university students is associated with various mental health issues. While some evidence suggests a potential negative impact on mental well-being, other studies indicate that e-cigarette Minimum Legal Age (MLA) laws may reduce risks of mood and anxiety disorders among youth. Additionally, a case-controlled study in Malaysia found that e-cigarette users did not show a decline in cognitive performance compared to non-users, with some cognitive tests even showing higher scores in users. These findings highlight the complex relationship between vaping, cognitive function, and mental health in student populations, emphasizing the need for further research in this area.
What are the cognitive effect of vape on student mental health?
5 answers
Vaping, particularly among students, has been associated with various cognitive and mental health effects. Studies indicate that e-cigarette use is prevalent among university students and is linked to psychosocial issues like impulsivity, mental health disorders, and substance use. Additionally, research suggests that vaping may lead to changes in mental health similar to those observed with traditional tobacco smoking, especially in adolescents and young adults. Furthermore, the use of e-cigarettes, including nicotine and cannabis, has surged among young adults and is associated with adverse mental health outcomes such as depressive symptoms and suicidal behaviors. However, a study conducted among university students in Malaysia found that e-cigarette use did not result in cognitive performance decline but highlighted lower levels of knowledge and attitude towards vaping among users.
What motivates people with parkinson's disease to participate in community programs for disease management?
5 answers
People with Parkinson's disease are motivated to participate in community programs for disease management due to various factors. These programs offer personalized care throughout their disease journey, accessibility to different support systems, multiagency collaborations, and acknowledgment of their own role in disease management. Additionally, community exercise programs are seen as beneficial for ongoing exercise participation and active involvement in health management. Online dual-task cognitive and motor training programs are well-received, safe, and perceived to be beneficial, enhancing long-term adherence to regular exercise. Furthermore, telehealth-based programs like "Parkinson ECHO" increase clinician confidence in diagnosing and managing Parkinson's disease, providing education and support for rural communities. These factors collectively drive individuals with Parkinson's disease to engage in community programs for effective disease management.
How does a bout of football heading alter the cortical balance N1?
4 answers
A bout of football heading can alter cortical balance N1 by affecting brain function, cognitive performance, and brain-muscle communication. Research indicates that repetitive soccer heading can lead to changes in neurovascular coupling (NVC) responses within the middle cerebral artery (MCA) during visual tasks. However, studies on female footballers did not show immediate alterations in cerebral blood flow regulation following a realistic number of headers. Additionally, investigations on the effects of sub-concussive head impacts revealed that football headings did not acutely affect corticomotor inhibition, a measure of brain excitability. These findings suggest that while football heading may impact cognitive function and brain-muscle communication, the immediate effects on cortical balance N1 may vary based on factors like gender and the intensity of heading bouts.
What factors contribute to the success of project management in increasing project effectiveness?
4 answers
Factors contributing to the success of project management in increasing project effectiveness include clear processes and roles, communication between project participants, adaptation to changing customer requirements, sustainability, risk management, competencies, motivation, and additionality. Effective communication among project participants enhances employee satisfaction with business process management, while adaptation to changing customer requirements is crucial for project success in outsourcing companies. Additionally, sustainability and risk management are essential components for project success, with risk management being a necessary and sufficient condition for success. Competencies such as transformational leadership and emotional intelligence play a role in project success, highlighting the importance of leadership qualities in achieving successful project outcomes.
How does distraction impact event-related potentials ?
5 answers
Distraction significantly influences event-related potentials (ERPs) as shown in various studies. Older drivers exhibit increased braking response times under visual distraction, indicating an unfavorable allocation of mental resources reflected in reduced P3b components. In contrast, older participants display a distinct anterior positivity and posterior negativity to distractors, suggesting decreased resistance to task-irrelevant changes. External interference, like distractions, can enhance attentional reallocation to task-relevant stimuli, as seen in increased P3 mean amplitudes, irrespective of working memory load. Distractors that provide useful response-related information lead to less negative N2 amplitudes, indicating an adaptive mechanism to prevent invalid stimulus-response bindings. Smartphone use during tasks reduces P300 ERP amplitudes by around 50%, highlighting the distracting effect of smartphones.
What are the most popular electronic content genres among internet users worldwide?
5 answers
Consumer communities on the web have provided a platform for users to share opinions on products and services, shaping a digital genre of product reviews. The internet has facilitated the exchange of music files through P2P sharing technologies, leading to a rise in piracy issues and the emergence of super distribution as a prevalent electronic business model. Furthermore, the internet has transformed musical practices by augmenting creative, aesthetic, and social dimensions through various genres, analyzed using digital methods and genre theory. Additionally, digital audio and video content, including music videos and programming, are increasingly accessible online, offering users a wide range of entertainment options through digital downloading and streaming. Overall, product reviews, music sharing, and digital audio/video content are among the most popular electronic content genres among internet users worldwide.
Is there a ultimate model that categorizes ads in all aspects?
7 answers
The quest for an ultimate model that categorizes advertisements across all aspects remains a complex challenge, as evidenced by the diverse approaches and methodologies explored in recent research. While no single model has emerged as universally superior, advancements in various fields offer promising directions. Wolf Vanpaemel et al. propose a varying abstraction model that unifies traditional exemplar and prototype models, suggesting a flexible approach to categorization that could potentially be applied to ad categorization by adjusting the level of abstraction based on the ad content. This idea of flexibility is echoed in the work of Thomas L. Griffiths et al., who demonstrate that the hierarchical Dirichlet process can infer the appropriate complexity for category representation, offering a method to automatically determine the best way to categorize ads based on their characteristics. The importance of considering multiple dimensions of intelligence, including emotional intelligence, in ad categorization is highlighted by Yosephine Susanto et al., suggesting that understanding the emotional appeal of ads could be crucial for effective categorization. Cheng Ju's discussion on cognitive models of categorization, including propositional and image-schematic models, further underscores the need for a multidimensional approach that can capture the nuanced ways in which ads are processed and understood by humans. Efforts to enhance the discrimination ability of categorization models, such as the sparse coding based VBoW proposed by Zhenfeng Zhu et al. for TV commercial categorization, demonstrate the potential of incorporating advanced representation techniques to improve categorization outcomes. Similarly, the use of natural language processing (NLP) techniques, as shown in the work of Umut Özdil et al., offers a promising avenue for the sector-wise automatic classification of ad texts, leveraging the power of models like BERT for understanding and categorizing the textual content of ads. In summary, while an ultimate model for categorizing ads in all aspects has not yet been identified, the integration of flexible categorization frameworks, multidimensional intelligence considerations, advanced representation techniques, and NLP methodologies presents a promising path forward. The collective insights from these studies suggest that a hybrid approach, leveraging the strengths of various models and techniques, may offer the most effective strategy for comprehensively categorizing advertisements.
Why does the moon sometimes look closer?
4 answers
The moon can appear closer due to the Moon Illusion, where it looks larger near the horizon than at the zenith. This phenomenon is attributed to various factors. One explanation involves the brain distorting the moon's projections to increase binocular disparity, making it seem larger when perceived as farther away. Another theory suggests that the illusion results from optimizing a projective geometrical frame for conscious perception through free energy minimization, as per the Projective Consciousness Model. Additionally, the moon illusion is demonstrated in pictorial representations, with the horizon moon consistently judged larger than the elevated moon, influenced by depth cues and cognitive mechanisms. The illusion is further explained by differences in accommodation causing the elevated moon to appear smaller, leading to perceived distance differences.
What is preference?
5 answers
Preference is a dispositional state influencing choices. It reflects individual perceptions and attitudes, often remaining constant and leading to similarities in clothing and housing choices. In conversation analysis, preference is crucial for sequential organization and interpersonal understanding, influenced by pragmatic, structural, interpersonality, and rationality principles. In Artificial Intelligence, preferences play a central role in decision-making, extensively studied across disciplines like economics, psychology, and computer science, becoming vital in recommender systems, planning, reasoning, and social choice algorithms. Preferences are integral to understanding others' behavior, guiding social interactions, and forming relationships based on shared likes and dislikes, showcasing a sophisticated understanding even in infants.