Positive risk-taking: Mixed-methods validation of a self-report scale and evidence for genetic links to personality and negative risk-taking

2019 ◽  
Author(s):  
Megan Wales Patterson ◽  
Lilla Pivnick ◽  
Frank D Mann ◽  
Andrew D Grotzinger ◽  
Kathryn C Monahan ◽  
...  
Keyword(s):  
Youth Development ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Empirical Work ◽  
Well Being ◽  
Population Based ◽  
Self Report ◽  
Personality Factors ◽  
Positive Behaviors ◽  
Adolescent Risk

Adolescents are more likely to take risks. Typically, research on adolescent risk-taking has focused on its negative health and societal consequences. However, some risk-taking behaviors might be positive, defined here as behavior that does not violate the rights of others and that might advance socially-valuable goals. Empirical work on positive risk-taking has been limited by measurement challenges. In this study, we elicited adolescents’ free responses (n = 75) about a time they took a risk. Based on thematic coding, we identified positive behaviors described as risks and selected items to form a self-report scale. The resulting positive risk-taking scale was quantitatively validated in a population-based sample of adolescent twins (n = 1249). Second, we evaluated associations between positive risk-taking, negative risk-taking, and potential personality and peer correlates using a genetically informed design. Sensation seeking predicted negative and positive risk-taking equally strongly, whereas extraversion differentiated forms of risk-taking. Additive genetic influences on personality accounted for the total heritability in positive risk-taking. Indirect pathways from personality through positive and negative peer environments were identified. These results provide promising evidence that personality factors of sensation seeking and extraversion can manifest as engagement in positive risks. Increased understanding of positive manifestations of adolescent risk-taking may yield targets for positive youth development strategies to bolster youth well-being.

scholarly journals Majority and popularity effects on norm formation in adolescence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ana da Silva Pinho ◽  
Lucas Molleman ◽  
Barbara R. Braams ◽  
Wouter van den Bos
Keyword(s):  
Social Network ◽  
Risk Taking ◽  
Well Being ◽  
Prosocial Behaviour ◽  
Peer Norms ◽  
Marked Influence ◽  
Personal Norms ◽  
Normative Evaluation ◽  
Adolescent Risk ◽  
Prosocial Behaviours

AbstractPersonal norms consist of individuals’ attitudes about the appropriateness of behaviour. These norms guide adolescents’ behaviour in countless domains that are fundamental for their social functioning and well-being. Peers are known to have a marked influence on adolescent risk-taking and prosocial behaviour, but little is known about how peers shape personal norms underlying those behaviours. Here we show that adolescents’ personal norms are decisively moulded by the norms of the majority and popular peers in their social network. Our experiment indicates that observing peer norms substantially impacts adolescents’ normative evaluation of risk-taking and prosocial behaviours. The majority norm had a stronger impact than the norm of a single popular peer, and norm adjustments were largest when adolescents observed strong disapproval of risk-taking or strong approval of prosocial behaviour. Our study suggests that learning about peer norms likely promotes adolescents to hold views and values supporting socially desirable behaviour.

scholarly journals How Perceived Individual Safety Attitude Helps to Explain The Relationship Between Sensation Seeking and Risk-Taking Propensity in The Prediction of Individual Work Performance

2021 ◽  
Vol 11 (2) ◽  
pp. 191
Author(s):  
Woromita Fathlistya ◽  
Martina Dwi Mustika
Keyword(s):  
Risk Taking ◽  
Sensation Seeking ◽  
Work Performance ◽  
Individual Performance ◽  
Cross Sectional Study ◽  
Self Report ◽  
Cross Sectional ◽  
Individual Work ◽  
Safety Attitude ◽  
The Relationship

Understanding the attitudes of individuals toward safety is important for hospital prevention programs and could reduce safety-related accidents. This study investigates the effects of perceived individual safety attitude in explaining the relationship between sensation seeking and risk-taking propensity for rewards in predicting individual performance. An on-line cross-sectional study was undertaken in which 177 nurses who completed an objective task (BART) and self-report questionnaires. Path analysis results revealed that perceived individual safety attitude influenced the relationship between both sensation seeking and risk-taking propensity in predicting individual performance. Nurses with both sensation seeking and risk-taking propensity for rewards have negative perceptions toward individual safety attitude, which resulted in poor individual work performances. It is indicated that encourage performance by rewards is not always effective.

scholarly journals Not All Risks Are Equal: The Risk Taking Inventory for High-Risk Sports

2013 ◽  
Vol 35 (5) ◽  
pp. 479-492 ◽  
Author(s):  
Tim Woodman ◽  
Matt Barlow ◽  
Comille Bandura ◽  
Miles Hill ◽  
Dominika Kupciw ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Behavioral Activation ◽  
Self Esteem ◽  
Self Report ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Two Factors ◽  
Population Attitudes

Although high-risk sport participants are typically considered a homogenous risk-taking population, attitudes to risk within the high-risk domain can vary considerably. As no validated measure allows researchers to assess risk taking within this domain, we validated the Risk Taking Inventory (RTI) for high-risk sport across four studies. The RTI comprises seven items across two factors: deliberate risk taking and precautionary behaviors. In Study 1 (n = 341), the inventory was refined and tested via a confirmatory factor analysis used in an exploratory fashion. The subsequent three studies confirmed the RTI’s good model–data fit via three further separate confirmatory factor analyses. In Study 2 (n = 518) and in Study 3 (n = 290), concurrent validity was also confirmed via associations with other related traits (sensation seeking, behavioral activation, behavioral inhibition, impulsivity, self-esteem, extraversion, and conscientiousness). In Study 4 (n = 365), predictive validity was confirmed via associations with mean accidents and mean close calls in the high-risk domain. Finally, in Study 4, the self-report version of the inventory was significantly associated with an informant version of the inventory. The measure will allow researchers and practitioners to investigate risk taking as a variable that is conceptually distinct from participation in a high-risk sport.

scholarly journals mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study

10.2196/25019 ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e25019
Author(s):  
Hongyi Wen ◽  
Michael Sobolev ◽  
Rachel Vitale ◽  
James Kizer ◽  
J P Pollak ◽  
...  
Keyword(s):  
Mental Health ◽  
Mobile Phone ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Mobile Sensing ◽  
Self Report ◽  
Sensor Data ◽  
Impulsive Behavior ◽  
Battery Charging ◽  
Passive Sensing

Background Mobile health technology has demonstrated the ability of smartphone apps and sensors to collect data pertaining to patient activity, behavior, and cognition. It also offers the opportunity to understand how everyday passive mobile metrics such as battery life and screen time relate to mental health outcomes through continuous sensing. Impulsivity is an underlying factor in numerous physical and mental health problems. However, few studies have been designed to help us understand how mobile sensors and self-report data can improve our understanding of impulsive behavior. Objective The objective of this study was to explore the feasibility of using mobile sensor data to detect and monitor self-reported state impulsivity and impulsive behavior passively via a cross-platform mobile sensing application. Methods We enrolled 26 participants who were part of a larger study of impulsivity to take part in a real-world, continuous mobile sensing study over 21 days on both Apple operating system (iOS) and Android platforms. The mobile sensing system (mPulse) collected data from call logs, battery charging, and screen checking. To validate the model, we used mobile sensing features to predict common self-reported impulsivity traits, objective mobile behavioral and cognitive measures, and ecological momentary assessment (EMA) of state impulsivity and constructs related to impulsive behavior (ie, risk-taking, attention, and affect). Results Overall, the findings suggested that passive measures of mobile phone use such as call logs, battery charging, and screen checking can predict different facets of trait and state impulsivity and impulsive behavior. For impulsivity traits, the models significantly explained variance in sensation seeking, planning, and lack of perseverance traits but failed to explain motor, urgency, lack of premeditation, and attention traits. Passive sensing features from call logs, battery charging, and screen checking were particularly useful in explaining and predicting trait-based sensation seeking. On a daily level, the model successfully predicted objective behavioral measures such as present bias in delay discounting tasks, commission and omission errors in a cognitive attention task, and total gains in a risk-taking task. Our models also predicted daily EMA questions on positivity, stress, productivity, healthiness, and emotion and affect. Perhaps most intriguingly, the model failed to predict daily EMA designed to measure previous-day impulsivity using face-valid questions. Conclusions The study demonstrated the potential for developing trait and state impulsivity phenotypes and detecting impulsive behavior from everyday mobile phone sensors. Limitations of the current research and suggestions for building more precise passive sensing models are discussed. Trial Registration ClinicalTrials.gov NCT03006653; https://clinicaltrials.gov/ct2/show/NCT03006653

scholarly journals Correlation of Essential Servant Leadership Behaviors, Perceived Organizational Support, and Employee Well-Being

2020 ◽  
Author(s):  
Bruce Winston
Keyword(s):  
Servant Leadership ◽  
Organizational Support ◽  
Perceived Organizational Support ◽  
Leadership Behaviors ◽  
Empirical Work ◽  
Well Being ◽  
Self Report ◽  
Positive Correlation ◽  
Gender And Age ◽  
Moderate Positive Correlation

This current research follows up on Greenleaf’s oft-quoted best test of servant leadership that calls for employees to be better off financially, emotionally, physically, psychologically, etc. because of the time spent with the servant leader. While oft-quoted, little empirical work exists to see if this is true. In this study, 170 participants provided their perception of their supervisors’ level of servant leadership, their perception of the organization’s support, and their self-report of their general well-being. Gender and age bracket information described the participants, and there were no significant differences between gender or age brackets for participants’ perception of their supervisors’ servant leadership. The analysis showed that there was a moderate positive correlation between servant leadership, perceived organizational support, and general well-being. A modification of an existing general well-being instrument provided a new eight-item general well-being scale with a Cronbach’s alpha of 0.956.

scholarly journals The assessment of physical risk taking: Preliminary construct validation of a new behavioral measure

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258826
Author(s):  
Edward A. Smith ◽  
Stephen D. Benning
Keyword(s):  
Risk Taking ◽  
Real World ◽  
Sensation Seeking ◽  
Risky Behaviors ◽  
Self Report ◽  
Behavioral Measure ◽  
Behavioral Risk ◽  
Exploratory Investigation ◽  
Outcome Scores ◽  
Physical Risk

Risk taking is a complex heterogeneous construct that has proven difficult to assess, especially when using behavioral tasks. We present an exploratory investigation of new measure–the Assessment of Physical Risk Taking (APRT). APRT produces a variety of different outcome scores and is designed as a comprehensive assessment of the probability of success and failure, and magnitude of reward and punishment of different types of simulated physically risky behaviors. Effects observed on the simulated behaviors are hypothesized to reflect similar effects on real world physical risks. Participants (N = 224) completed APRT in a laboratory setting, half of whom had a 1.5 s delay interposed between button presses. Exploratory analyses utilizing generalized estimating equations examined the main effects and two-way interactions among five within-subject factors, as well as two-way interactions between the within-subject factors and Delay across four APRT outcome scores. Results indicated that Injury Magnitude and Injury Probability exerted stronger effects than any of the other independent variables. Participants also completed several self-report measures of risk taking and associated constructs (e.g., sensation seeking), which were correlated with APRT scores to assess the preliminary convergent and divergent validity of the new measure. After correcting for multiple comparisons, APRT scores correlated with self-reported risk taking in thrilling, physically dangerous activities specifically, but only for those who did not have a delay between APRT responses. This promising exploratory investigation highlights the need for future studies comparing APRT to other behavioral risk taking tasks, examining the robustness of the observed APRT effects, and investigating how APRT may predict real-world physical risk taking.

scholarly journals Virtues, Resilience, and Well-Being of Indigenous Youth in Peru

2021 ◽  
Vol 8 (1) ◽  
pp. 1-12
Author(s):  
Abigail R. L. Bullock ◽  
B. Cameron Stumpf ◽  
Kelly B. T. Chang
Keyword(s):  
Youth Development ◽  
Latin American ◽  
Social Engagement ◽  
Well Being ◽  
Cultural Citizenship ◽  
Self Report ◽  
Indigenous Populations ◽  
Future Research ◽  
Peruvian Amazon ◽  
Indigenous Youth

Objectives: The objective of this study was to observe the relation of Values In Action (VIA) virtues, well-being, and resilience within a unique, non-Western population of Indigenous youth in the Peruvian Amazon. Methods: Data were collected from students (n = 172, age range: 11-16 years) attending a rural village school via self-report surveys to assess relationships using the VIA Youth-96 (VIA-Y-96) Assessment, Personal Wellbeing Index (PWI-A), and the Child and Youth Resilience Measure (CYRM-28). Results: The factor analysis of the CYRM-28 yielded a 3-factor breakdown (Social Engagement, Cultural Citizenship, and Guidance) instead of eight. Different VIA virtues predicted each of the three factors of the revised 3-factor CYRM-21-Peru model (CYRM-21-P); Transcendence, Humanity, and Wisdom were predictors of well-being; and higher reported resilience leads to higher well-being. Most participants scored very high on the PWI-A. Implications: Research presented in this paper involved a unique population of Indigenous youth residing in the Peruvian Amazon, and found that (a) VIA virtues were differentially associated with well-being, (b) Humanity was a significant predictor across Cultural Citizenship and Social Engagement in the revised CYRM-21-P, and (c) higher resilience was correlated with higher well-being. Implications of this research can be used to inspire future research of Indigenous populations in a Latin American context to develop youth development programs that teach students from a strength-based perspective to improve vocational, academic, psychological, and social well-being.

scholarly journals mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study (Preprint)

2020 ◽  
Author(s):  
Hongyi Wen ◽  
Michael Sobolev ◽  
Rachel Vitale ◽  
James Kizer ◽  
JP Pollak ◽  
...  
Keyword(s):  
Mental Health ◽  
Mobile Phone ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Mobile Sensing ◽  
Self Report ◽  
Sensor Data ◽  
Impulsive Behavior ◽  
Battery Charging ◽  
Passive Sensing

BACKGROUND Mobile health technology has demonstrated the ability of smartphone apps and sensors to collect data pertaining to patient activity, behavior, and cognition. It also offers the opportunity to understand how everyday passive mobile metrics such as battery life and screen time relate to mental health outcomes through continuous sensing. Impulsivity is an underlying factor in numerous physical and mental health problems. However, few studies have been designed to help us understand how mobile sensors and self-report data can improve our understanding of impulsive behavior. OBJECTIVE The objective of this study was to explore the feasibility of using mobile sensor data to detect and monitor self-reported state impulsivity and impulsive behavior passively via a cross-platform mobile sensing application. METHODS We enrolled 26 participants who were part of a larger study of impulsivity to take part in a real-world, continuous mobile sensing study over 21 days on both Apple operating system (iOS) and Android platforms. The mobile sensing system (mPulse) collected data from call logs, battery charging, and screen checking. To validate the model, we used mobile sensing features to predict common self-reported impulsivity traits, objective mobile behavioral and cognitive measures, and ecological momentary assessment (EMA) of state impulsivity and constructs related to impulsive behavior (ie, risk-taking, attention, and affect). RESULTS Overall, the findings suggested that passive measures of mobile phone use such as call logs, battery charging, and screen checking can predict different facets of trait and state impulsivity and impulsive behavior. For impulsivity traits, the models significantly explained variance in sensation seeking, planning, and lack of perseverance traits but failed to explain motor, urgency, lack of premeditation, and attention traits. Passive sensing features from call logs, battery charging, and screen checking were particularly useful in explaining and predicting trait-based sensation seeking. On a daily level, the model successfully predicted objective behavioral measures such as present bias in delay discounting tasks, commission and omission errors in a cognitive attention task, and total gains in a risk-taking task. Our models also predicted daily EMA questions on positivity, stress, productivity, healthiness, and emotion and affect. Perhaps most intriguingly, the model failed to predict daily EMA designed to measure previous-day impulsivity using face-valid questions. CONCLUSIONS The study demonstrated the potential for developing trait and state impulsivity phenotypes and detecting impulsive behavior from everyday mobile phone sensors. Limitations of the current research and suggestions for building more precise passive sensing models are discussed. CLINICALTRIAL ClinicalTrials.gov NCT03006653; https://clinicaltrials.gov/ct2/show/NCT03006653

Personality Traits Relate to Heading Frequency in Male Soccer Players

2007 ◽  
Vol 1 (4) ◽  
pp. 379-389 ◽  
Author(s):  
Frank M. Webbe ◽  
Shelley R. Ochs
Keyword(s):  
At Risk ◽  
Personality Traits ◽  
Sensation Seeking ◽  
Personality Inventory ◽  
Self Report ◽  
Soccer Players ◽  
Personality Factors ◽  
Physical Height ◽  
Soccer Heading

Concussions in soccer are often coincident with the act of heading the ball, and some researchers have reported that soccer heading is associated with neurocoginitive decrements. This study aimed to understand (a) the personality factors that may predict frequent soccer heading, and (b) how knowledge of players’ personality traits might help sport counselors persuade neurologically at-risk players to moderate their heading behavior. Sixty elite male soccer players (ages 16-34) completed structured self-report interviews, the NEO-FFI personality inventory, and the Arnett Inventory of Sensation Seeking. Players who headed most had significantly higher extraversion scores than comparison athletes and soccer players who headed less. Physical height was the best predictor of heading frequency but was not correlated with extraversion, which was also a significant predictor. Players with the typical profile of the high heading group may be more resistant to suggestion that they alter their style of play for safety reasons.

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