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Age and Framing Effects in the Balloon Analogue Risk Task (BART)
Abstract
Objectives
Prior research has documented age differences in risky decisions and indicates that they are susceptible to gain versus loss framing. However, previous studies focused on ‘decisions from description’ that explicitly spell out the probabilities involved. The present study expands this literature by examining the effects of framing on age differences in the Balloon Analogue Risk Task (BART), a widely used and ecologically valid measure of experience-based risky decision-making that involves pumping a virtual balloon.
Method
In a pre-registered study, younger (aged 18-30, n =129) and older adults (aged 60 and over, n=125) were randomly assigned to either a gain version of the BART, where pumping the balloon added monetary gains, or a loss version, where pumping the balloon avoided monetary losses.
Results
We found a significant age by frame interaction on risk-taking: in the loss frame, older adults pumped more frequently and experienced more popped balloons than younger adults, whereas in the gain frame no significant age differences were found. Total performance on the BART did not vary by age or frame. Supplementary analyses indicated that age differences in pumping rates were most pronounced at the beginning of the BART and leveled off in subsequent trials. Controlling for age differences in motivation, personality, and cognition did not account for age differences in risk-taking.
Discussion
In combination, findings suggest that age differences in risk-taking on the BART are more pronounced when the task context emphasizes avoiding losses rather than achieving gains.
... Laboratory tests of risk/reward decision making generally bear out these real-world observations, however, in that older adults exhibit more risk-averse patterns of behavior. In the BART, older adults show more risk-averse performance than young adults Mamerow et al., 2016;Ren et al., 2023;Wilson et al., 2022), although not all studies report such findings, and the presence of age differences may depend on whether the task is framed in terms of wins or losses (Peng et al., 2020;Schulman et al., 2022;Tisdall and Mata, 2023). Only a few of these studies report sex differences, with one finding a sex difference in young (females more risk averse than males) but not aged subjects, and another finding no such interaction. ...
... There is overall less work on situations involving ambiguity, when the probability of options is not described (Tymula et al., 2013) or needs to be learned from experience (Frey et al., 2015;Frey et al., 2021;Mata et al., 2011). One paradigm that has received considerable attention is the Balloon Analogue Risk Task (BART; Lejuez et al. 2002) but the results concerning age differences are also mixed: Although some studies find older adults less risk-seeking relative to younger adults (Grover, 2021;Henninger et al., 2010;Koscielniak et al., 2016;Rolison et al., 2012;Sproten et al., 2018;Wilson et al., 2021), a number of studies find this result in only some conditions Schulman et al., 2021), report no evidence of behavioral effects of age (Kim et al., 2022;McCleskey, 2021;Yu et al., 2016), or find that older-adults are more risk-seeking relative to younger adults (Cavanagh et al., 2012). Finally, concerning age effects on temporal preferences, a recent meta-analytic synthesis suggests overall no effect of age in delay discounting tasks (Seaman et al., 2022). ...
Humans globally are reaping the benefits of longer lives. Yet, longer life spans also require engaging with consequential but often uncertain decisions well into old age. Previous research has yielded mixed findings with regards to life span differences in how individuals make decisions under uncertainty. One factor contributing to the heterogeneity of findings is the diversity of paradigms that cover different aspects of uncertainty and tap into different cognitive and affective mechanisms. In this study, 175 participants (53.14% females, mean age = 44.9 years, SD = 19.0, age range = 16 to 81) completed functional neuroimaging versions of two prominent paradigms in this area, the Balloon Analogue Risk Task and the Delay Discounting Task. Guided by neurobiological accounts of age-related changes in decision-making under uncertainty, we examined age effects on neural activation differences in decision-relevant brain structures, and compared these across multiple contrasts for the two paradigms using specification curve analysis. In line with theoretical predictions, we find age differences in nucleus accumbens, anterior insula, and medial prefrontal cortex, but the results vary across paradigm and contrasts. Our results are in line with existing theories of age differences in decision making and their neural substrates, yet also suggest the need for a broader research agenda that considers how both individual and task characteristics determine the way humans deal with uncertainty.
... As a result, impulsivity showed no significant correlation with the BART scores. Furthermore, a previous study showed age effects on BART scores in a comparison between young and older adults [51]. However, since our study sample was limited to younger adults, no significant age effects were found. ...
The balloon analogue risk task (BART) is widely used to assess risk-taking tendencies on behavioral tests. However, biases or unstable results are sometimes reported, and there are concerns about whether the BART can predict risk behavior in the real world. To address this problem, the present study developed a virtual reality (VR) BART to enhance the reality of the task and narrow the gap between performance on the BART and risk behavior in the real world. We evaluated the usability of our VR BART through assessments of the relationships between BART scores and psychological metrics and additionally implemented an emergency decision-making VR driving task to investigate further whether the VR BART can predict risk-related decision-making in emergency situations. Notably, we found that the BART score significantly correlated with both sensation-seeking and risky driving behavior. Additionally, when we split participants into groups with high and low BART scores and compared their psychological metrics, we found that the high-score BART group included more male participants and exhibited higher sensation-seeking and more risky decision-making in an emergency situation. Overall, our study shows the potential of our new VR BART paradigm to predict risky decision-making in the real world.
This article presents a literature review of studies examining the influence of Big Five personality traits on everyday and experimental risk-taking, both in adolescence and adulthood. The results show that extraversion is systematically linked to engagement in various risk-taking behaviors, while the other personality traits show
differentiated effects depending on the risk-taking context studied. This review highlights the convergences and divergences in the findings of the literature, offering an analysis of the theoretical and practical implications. It also suggests ways of intervening to promote positive risk-taking behaviors, depending on personality, while reducing engagement in negative risk-taking behaviors. In addition, this literature review highlights the lack of longitudinal studies and the low diversity of samples, shortcomings that limit our understanding of the influence of personality traits on risk-taking.
Socioemotional selectivity theory claims that the perception of time plays a fundamental role in the selection and pursuit of social goals. According to the theory, social motives fall into 1 of 2 general categories—those related to the acquisition of knowledge and those related to the regulation of emotion. When time is perceived as open-ended, knowledge-related goals are prioritized. In contrast, when time is perceived as limited, emotional goals assume primacy. The inextricable association between time left in life and chronological age ensures age-related differences in social goals. Nonetheless, the authors show that the perception of time is malleable, and social goals change in both younger and older people when time constraints are imposed. The authors argue that time perception is integral to human motivation and suggest potential implications for multiple subdisciplines and research interests in social, developmental, cultural, cognitive, and clinical psychology.
Decision-making strategies shift during normal aging and can profoundly affect wellbeing. Although overweighing losses compared to gains, termed “loss aversion,” plays an important role in choice selection, the age trajectory of this effect and how it may be influenced by associated changes in brain structure remain unclear. We therefore investigated the relationship between age and loss aversion, and tested for its mediation by cortical thinning in brain regions that are susceptible to age-related declines and are implicated in loss aversion — the insular, orbitofrontal, and anterior and posterior cingulate cortices. Healthy participants (n = 106, 17–54 years) performed the Loss Aversion Task. A subgroup (n = 78) provided structural magnetic resonance imaging scans. Loss aversion followed a curvilinear trajectory, declining in young adulthood and increasing in middle-age, and thinning of the posterior cingulate cortex mediated this trajectory. The findings suggest that beyond a threshold in middle adulthood, atrophy of the posterior cingulate cortex influences loss aversion.
To what extent is there a general factor of risk preference, R, akin to g, the general factor of intelligence? Can risk preference be regarded as a stable psychological trait? These conceptual issues persist because few attempts have been made to integrate multiple risk-taking measures, particularly measures from different and largely unrelated measurement traditions (self-reported propensity measures assessing stated preferences, incentivized behavioral measures eliciting revealed preferences, and frequency measures assessing actual risky activities). Adopting a comprehensive psychometric approach (1507 healthy adults completing 39 risk-taking measures, with a subsample of 109 participants completing a retest session after 6 months), we provide a substantive empirical foundation to address these issues, finding that correlations between propensity and behavioral measures were weak. Yet, a general factor of risk preference, R, emerged from stated preferences and generalized to specific and actual real-world risky activities (for example, smoking). Moreover, R proved to be highly reliable across time, indicative of a stable psychological trait. Our findings offer a first step toward a general mapping of the construct risk preference, which encompasses both general and domain-specific components, and have implications for the assessment of risk preference in the laboratory and in the wild.
Background:
The financial exploitation of older adults was recently recognized by the Centers for Disease Control and Prevention as a serious public health problem. Knowledge of the prevalence of elder financial exploitation is mostly limited to the category of financial abuse, which occurs in relationships involving an expectation of trust. Little is known about the other major category of elder financial exploitation-elder financial fraud and scams, which is perpetrated by strangers. A valid estimate of elder financial fraud-scam prevalence is necessary as a foundation for research and prevention efforts.
Objectives:
To estimate the prevalence of elder financial fraud-scam victimization in the United States based on a systematic review and meta-analysis.
Search methods:
Multiple investigators independently screened titles and abstracts and reviewed relevant full-text records from PubMed, Medline, PsycINFO, Criminal Justice Abstracts, Social Work Abstracts, and AgeLine databases.
Selection criteria:
To maximize the validity and generalizability of prevalence estimation, we restricted eligibility to general population-based studies (English speaking, 1990 onward) using state- or national-level probability sampling and collecting data directly from older adults.
Data collection and analysis:
Information on elder financial fraud-scam prevalence and study-level characteristics was extracted independently by 2 investigators. Meta-analysis of elder financial fraud-scam prevalence used generalized mixed models with individual studies as levels of a random classification factor.
Main results:
We included 12 studies involving a total of 41 711 individuals in the meta-analysis. Overall pooled elder financial fraud-scam prevalence (up to 5-year period) across studies was 5.6% (95% confidence interval [CI] = 4.0%, 7.8%), with a 1-year period prevalence of 5.4% (95% CI = 3.2%, 7.6%). Studies using a series of questions describing specific fraud-scam events to measure victimization found a significantly higher prevalence (7.1%; 95% CI = 4.8%, 9.4%) than studies using a single, general-question self-report assessment approach (3.6%; 95% CI = 1.8%, 5.4%).
Author's conclusions:
Elder financial fraud and scams is a common problem, affecting approximately 1 of every 18 cognitively intact, community-dwelling older adults each year; it requires further attention from researchers, clinicians, and policymakers. Elder financial fraud-scam prevalence findings in this study likely underestimate the true population prevalence. We provide methodological recommendations to limit older adult participation and reporting bias in future population-based research. Public Health Implications. Elder financial exploitation victimization is associated with mortality, hospitalization, and poor physical and mental health. Health care professionals working with older adults likely routinely encounter patients who are fraud-scam victims. Validation of instruments to screen for elder financial fraud and scams in clinical settings is an important area of future research. Without effective primary prevention strategies, the absolute scope of this problem will escalate with the growing population of older adults. (Am J Public Health. Published online ahead of print June 22, 2017: e1-e9. doi:10.2105/AJPH.2017.303821).
Aging has long been thought to be associated with changes in risk-taking propensity. But do different measures converge in showing similar age-related patterns? We conducted a study to investigate the convergent validity of different self-report and behavioral assessments of risk taking across adulthood (N = 902). Individuals between 18 and 90 years of age answered a self-report item and completed 2 incentivized behavioral tasks: a gambles task and the Balloon Analogue Risk Task. Our results indicate that although all measures show some patterns indicative of an age reduction in risk taking, the correlations between measures are small. Moreover, age differences in behavioral paradigms seem to emerge as a function of specific task characteristics, such as learning and computational demands. We discuss the importance of understanding how specific task characteristics engender age differences in risk taking and the need for future work that disentangles task demands from true age-related changes in risk-taking propensity.
Few research publications have reported on gender-dependent neural correlates of risk decision-making in older adults. In this study, we utilized functional near-infrared spectroscopy (fNIRS) to comprehensively investigate both age- and gender-dependent differences in neural correlates in response to a well-utilized risk decision-making protocol, the Balloon Analog Risk Task (BART). A newly-developed technique, atlas-guided diffuse optical tomography (atlas-DOT), was used to image the prefrontal cortices (PFC) of healthy subjects in two age groups (25–40 years; 60–92 years) using BART stimulation. The behavioral measures and brain activations imaged by atlas-DOT were recorded and compared for both age groups. Three-factor analysis of variance was conducted to include all effects of age (young, old), gender (male, female), case (win, lose) and their interactions for both behavioral and hemodynamic responses. The results indicated age differences in cortical activation patterns, activation amplitudes, and brain-behavior correlations. Larger areas of cortical activation with reduced amplitudes in the PFC were observed in older adults when they performed BART. Brain-behavior correlations indicated that young adults took more risks, whereas older adults were more risk-averse. Results also revealed a gender effect in young adults, but not in older adults. Both male and female older adults demonstrated strong PFC responses and the same risk-averse patterns under lose outcomes. This is the first study to examine the neural correlates of risk decisions in older adults by optical brain imaging.
According to the dual-process theoretical perspective adopted in the presented research, the efficiency of deliberative processes in decision making declines with age, but experiential processes are relatively well-preserved. The age-related differences in deliberative and experiential processes in risky decision-making were examined in this research by applying the Balloon Analog Risk Task (BART). We analyzed the influence of age on risk acceptance and decision-making performance in two age groups of female participants (younger adults, n = 81; older adults, n = 76), with additional experimental manipulation of initial risk perception. We predicted and confirmed that aging significantly worsens performance on the behavioral BART measures due to age-related decline in deliberative processes. Older participants were found to exhibit significantly higher risk aversion and lower BART performance, and the effect of age was mediated by cognitive (processing speed) and motivational (need for cognitive closure) mechanisms. Moreover, older adults adapt to the initial failure (vs. success) similarly, as younger adults due to preserved efficiency of experiential processes. These results suggest future directions for minimizing negative effects of aging in risky decision-making and indicate compensatory processes, which are preserved during aging.
Current thinking on the role of emotions in decision making has been highly influenced by one theory – the Somatic Marker Hypothesis which emphasizes the role of physiological mechanisms in guiding decisions – and by variants of a single task – the Iowa Gambling Task (IGT) whose development is closely tied to that theory. To address potential shortcomings in the IGT, we use three variants of another task – the Balloon Analogue Risk Task – as a novel means of testing the SMH via behavioural and physiological arousal (skin conductance) data. We manipulated the emotional content of the task by altering its framing (loss vs. gain) and point of commitment to taking risk (in advance vs. in the moment), whilst also assessing skin conductance. We find consistent support for elements of the Somatic Marker Hypothesis: decisions ending in failure result in higher skin conductance than successes; and those failures inhibit risk taking on subsequent trials. However, we find little support for skin conductance guiding decision making – a core prediction of the SMH.
Although physical activity is an effective way to cope with ageing-related impairments, few older people are motivated to turn their sedentary lifestyle into an active one. Recent evidence suggests that walking can be more effectively promoted in older adults with positive messages about the benefits of walking than with negative messages about the risks of inactivity. This study examined motivation and memory as the supposed mechanisms underlying the greater effectiveness of positively framed compared to negatively framed messages for promoting activity. Older adults (N = 53, age 60–87 years) were introduced to six physical activity programmes that were randomly paired with either positively framed or negatively framed messages. Participants indicated how motivated they were to participate in each programme by providing ratings on attractiveness, suitability, capability and intention. They also completed surprise free recall and recognition tests. Respondents felt more motivated to participate in physical activity programmes paired with positively framed messages than in those with negatively framed ones. They also had better recognition memory for positively framed than negatively framed messages, and misremembered negatively framed messages to be positively framed. Findings support the notion that socioemotional selectivity theory—a theory of age-related changes in motivation—is a useful basis for health intervention design.
As our society becomes more mobile and people reside farther away from their immediate families, competent decision-making has become critical for the older adults wishing to maintain their independence. However, very little is known about the relationship between residential choice and decision-making. Here we use the Balloon Analog Risk Task (BART) to examine risk-taking in two samples of older adults, one living in a retirement community and another living independently. We also used a cognitive model to gain insight into the cognitive factors underlying decision-making in these groups. We found that older adults living in a retirement community were more risk averse than their independent counterparts. Furthermore, this difference appeared to be motivated by group differences in initial perception of risk. This study suggests an intriguing difference between these two residential groups, and also points to the utility of using laboratory methods in research on real-world problems.
The framing of decision scenarios in terms of potential gains versus losses has been shown to influence choice preferences between sure and risky options. Normative cognitive changes associated with aging have been known to affect decision making, which has led to a number of studies investigating the influence of aging on the effect of framing. Mata, Josef, Samanez-Larkin, and Hertwig (2011) systematically reviewed the available literature using a meta-analytic approach, but did not include tests of homogeneity or subsequent moderator variable analyses. The current review serves to extend the previous analysis to include such tests as well as update the pool of studies available for analysis. Results for both positively and negatively framed conditions were reviewed using 2 meta-analyses encompassing data collected from 3,232 subjects across 18 studies. Deviating from the previous results, the current analysis found a tendency for younger adults to choose the risky option more often than older adults for positively framed items. Moderator variable analyses found this effect likely to be driven by the specific decision scenario, showing a significant effect, with younger adults choosing the risky option more often in small-amount financial and large-amount mortality-based scenarios. For negatively framed items, the current review found no overall age difference in risky decision making, confirming the results from the prior meta-analysis. Moderator variable analyses conducted to address heterogeneity found younger adults to be more likely than older adults to choose the risky option for negatively framed high-amount mortality-based decision scenarios. Practical implications for older adults are discussed. (PsycINFO Database Record
(c) 2015 APA, all rights reserved).
Older adults face important risky decisions about their health, their financial future, and their social environment. We examine age differences in risk-taking behaviors in multiple risk domains across the adult life span.
A cross-sectional study was conducted in which 528 participants from 18 to 93 years of age completed the Domain-Specific Risk-Taking (DOSPERT) scale, a survey measuring risk taking in 5 different domains.
Our findings reveal that risk-taking tendencies in the financial domain reduce steeply in older age (at least for men). Risk taking in the social domain instead increases slightly from young to middle age, before reducing sharply in later life, whereas recreational risk taking reduces more steeply from young to middle age than in later life. Ethical and health risk taking reduce relatively smoothly with age. Our findings also reveal gender differences in risk taking with age. Financial risk taking reduced steeply in later life for men but not for women, and risk taking in the social domain reduced more sharply for women than for men.Discussion.We discuss possible underlying causes of the domain-specific nature of risk taking and age.
Objective. To explore the process by which elderly persons make decisions about a surgical treatment, total joint arthroplasty (TJA). Methods. In-depth interviews with 17 elderly individuals identified as potential candidates for TJA who were unwilling to undergo the procedure. Results. For the majority of participants, decision making involved ongoing deliberation of the surgical option, often resulting in a deferral of the treatment decision. Three assumptions may constrain elderly persons from making a decision about surgery First, some participants viewed osteoarthritis not as a disease but as a normal part of aging. Second, despite being candidates for TJA according to medical criteria, many participants believed candidacy required a level of pain and disability higher than their current level. Third, some participants believed that if they either required or would benefit from TIA, their physicians would advise surgery Conclusion. These assumptions may limit the possibility for shared decision making. Clinical Implications. Emphasis should be directed toward thinking about ways in which discussions about TIA might be initiated (and by whom) and considering how patients' views on and knowledge of osteoarthritis in general might be addressed.
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The main argument of this review is that motivational development associated with normal aging affects decision making. With increasing age, the ratio of gains to losses becomes more and more unfavorable. Reflecting the increasing losses in resources, goal orientation changes from a predominant orientation towards gains in young adulthood to an increasingly stronger orientation towards the prevention of loss in older adulthood. As goals serve as reference points for the evaluation of decision outcomes, this change in goal orientation across adulthood might also affect decision making. The decision-making literature has recognized that choices are influenced by goal orientation. However, little research has been conducted on how goals influence the decision-making process in general and with regard to aging in particular. To date, findings on decision making and aging remain inconsistent and are in need of a developmental framework. With regard to applications, a better understanding of the aging decision maker can provide insight into how to improve communication efforts about issues like advance care planning, medical treatment, and housing options.
The “positivity effect” refers to an age-related trend that favors positive over negative stimuli in cognitive processing. Relative to their younger counterparts, older people attend to and remember more positive than negative information. Since the effect was initially identified and the conceptual basis articulated (Mather and Carstensen, 2005) scores of independent replications and related findings have appeared in the literature. Over the same period, a number of investigations have failed to observe age differences in the cognitive processing of emotional material. When findings are considered in theoretical context, a reliable pattern of evidence emerges that helps to refine conceptual tenets. In this article we articulate the operational definition and theoretical foundations of the positivity effect and review the empirical evidence based on studies of visual attention, memory, decision making, and neural activation. We conclude with a discussion of future research directions with emphasis on the conditions where a focus on positive information may benefit and/or impair cognitive performance in older people.
Surface-level differences in the reward and punishment variants, specifically greater long-term decision making in the punishment variant of the Iowa Gambling Task (IGT) observed in previous studies led to the present comparison of long-term decision making in the two IGT variants (n = 320, male = 160). It was contended that risk aversion triggered by a positive frame of the reward variant and risk seeking triggered by a negative frame of the punishment variant appears as long-term decision making in the two IGT variants. Apart from the frame of the variant as a within-subjects factor (variant type: reward and punishment), the order in which the frame was triggered (order type: reward–punishment or punishment–reward), and the four types of instructions that delineated motivation toward reward from that of punishment (reward, punishment, reward and punishment, and no-hint) were hypothesized to have an effect on foresighted decision making in the IGT. As expected, long-term decision making differed across the two IGT variants suggesting that the frame of the variant has an effect on long-term decision making in the IGT (p < 0.001). The order in which a variant was presented, and the type of the instructions that were used both had an effect on long-term decision making in the two IGT variants (p < 0.05). A post hoc test suggested that the instructions that differentiated between reward and punishment resulted in greater foresight than the commonly used IGT instructions that fail to distinguish between reward and punishment. As observed in previous studies, there were more number of participants (60%) who showed greater foresight in the punishment variant than in the reward variant (p < 0.001). The results suggest that foresight in IGT decision making is sensitive to reward and punishment frame in an asymmetric manner, an observation that is aligned with the behavioral decision making framework. Benefits of integrating findings from behavioral studies in decision neuroscience are discussed, and a need to investigate cultural differences in the IGT studies is pointed out.
Are older adults risk seeking or risk averse? Answering this question might depend on both the task used and the analysis performed. By modeling responses to the Balloon Analogue Risk Task (BART), our results illustrate the value of modeling as compared to relying on common analysis techniques. While analysis of overall measures suggested initially that older and younger adults do not differ in their risky decisions, our modeling results indicated that younger adults were at first more willing to take greater risks. Furthermore, older adults may be more cautious when their decision making is based on initial perceptions of risk, rather than learning following some experience with a task.
Decision making under risk changes with age. Increases in risk aversion with age have been most commonly characterized, although older adults may be risk seeking in some decision contexts. An important, and unanswered, question is whether these changes in decision making reflect a direct effect of aging or, alternatively, an indirect effect caused by age-related changes in specific cognitive processes. In the current study, older adults (M = 71 years) and younger adults (M = 24 years) completed a battery of tests of cognitive capacities and decision-making preferences. The results indicated systematic effects of age upon decision quality-with both increased risk seeking and increased risk aversion observed in different tasks-consistent with prior studies. Path analyses, however, revealed that age-related effects were mediated by individual differences in processing speed and memory. When those variables were included in the model, age was no longer a significant predictor of decision quality. The authors conclude that the reduction in decision quality and associated changes in risk preferences commonly ascribed to aging are instead mediated by age-related changes in underlying cognitive capacities.
It is well established that emotion plays a key role in human social and economic decision making. The recent literature on emotion regulation (ER), however, highlights that humans typically make efforts to control emotion experiences. This leaves open the possibility that decision effects previously attributed to acute emotion may be a consequence of acute ER strategies such as cognitive reappraisal and expressive suppression. In Study 1, we manipulated ER of laboratory-induced fear and disgust, and found that the cognitive reappraisal of these negative emotions promotes risky decisions (reduces risk aversion) in the Balloon Analogue Risk Task and is associated with increased performance in the prehunch/hunch period of the Iowa Gambling Task. In Study 2, we found that naturally occurring negative emotions also increase risk aversion in Balloon Analogue Risk Task, but the incidental use of cognitive reappraisal of emotions impedes this effect. We offer evidence that the increased effectiveness of cognitive reappraisal in reducing the experience of emotions underlies its beneficial effects on decision making.
G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
The authors investigated risk taking and underlying information use in 13- to 16- and 17- to 19-year-old adolescents and in adults in 4 experiments, using a novel dynamic risk-taking task, the Columbia Card Task (CCT). The authors investigated risk taking under differential involvement of affective versus deliberative processes with 2 versions of the CCT, constituting the most direct test of a dual-system explanation of adolescent risk taking in the literature so far. The "hot" CCT was designed to trigger more affective decision making, whereas the "cold" CCT was designed to trigger more deliberative decision making. Differential involvement of affective versus deliberative processes in the 2 CCT versions was established by self-reports and assessment of electrodermal activity. Increased adolescent risk taking, coupled with simplified information use, was found in the hot but not the cold condition. Need-for-arousal predicted risk taking only in the hot condition, whereas executive functions predicted information use in the cold condition. Results are consistent with recent dual-system explanations of risk taking as the result of competition between affective processes and deliberative cognitive-control processes, with adolescents' affective system tending to override the deliberative system in states of heightened emotional arousal.
Sequential risk-taking tasks, especially the Balloon Analogue Risk Task (BART), have proven powerful and useful methods in studying and identifying real-world risk takers. A natural index in these tasks is the average number of risks the participant takes in a trial (e.g., pumps on the balloons), but this is difficult to estimate because some trials terminate early because of the consequences of those risks (e.g., when the desired number of balloon pumps exceeds the explosion point). The standard corrective strategy is to use an adjusted score that ignores such event-terminated trials. Although previous data supports the utility of this adjusted score, the authors show formally that it is biased. Therefore, the authors developed an automatic response procedure, in which respondents state at the beginning of each trial how many risks they wish to take and then observe the sequence of events unfold. A study comparing this new automatic and the original manual BART shows that the automatic procedure yields unbiased statistics whereas maintaining the BART's predictive validity of substance use. The authors also found that providing respondents with the expected-value-maximizing strategy and complete trial-by-trial feedback increased the number of risks they were willing to take during the BART. The authors interpret these results in terms of the potential utility of the automatic version including shorter administration time, unbiased behavioral measures, and minimizing motor involvement, which is important in neuroscientific investigations or with clinical populations with motor limitations.
Drawing on both evolutionary and ontogenetic perspectives, the basic biological-genetic and social-cultural architecture of human development is outlined. Three principles are involved. First, evolutionary selection pressure predicts a negative age correlation, and, therefore, genome-based plasticity and biological potential decrease with age. Second, for growth aspects of human development to extend further into the life span, culture-based resources are required at ever-increasing levels. Third, because of age-related losses in biological plasticity, the efficiency of culture is reduced as life span development unfolds. Joint application of these principles suggests that the life span architecture becomes more and more incomplete with age. Degree of completeness can be defined as the ratio between gains and losses in functioning. Two examples illustrate the implications of the life span architecture proposed. The first is a general theory of development involving the orchestration of 3 component processes: selection, optimization, and compensation. The second considers the task of completing the life course in the sense of achieving a positive balance between gains and losses for all age levels. This goal is increasingly more difficult to attain as human development is extended into advanced old age.
Socioemotional selectivity theory claims that the perception of time plays a fundamental role in the selection and pursuit of social goals. According to the theory, social motives fall into 1 of 2 general categories--those related to the acquisition of knowledge and those related to the regulation of emotion. When time is perceived as open-ended, knowledge-related goals are prioritized. In contrast, when time is perceived as limited, emotional goals assume primacy. The inextricable association between time left in life and chronological age ensures age-related differences in social goals. Nonetheless, the authors show that the perception of time is malleable, and social goals change in both younger and older people when time constraints are imposed. The authors argue that time perception is integral to human motivation and suggest potential implications for multiple subdisciplines and research interests in social, developmental, cultural, cognitive, and clinical psychology.
Numeracy, how facile people are with basic probability and mathematical concepts, is associated with how people perceive health risks. Performance on simple numeracy problems has been poor among populations with little as well as more formal education. Here, we examine how highly educated participants performed on a general and an expanded numeracy scale. The latter was designed within the context of health risks.
A total of 463 men and women aged 40 and older completed a 3-item general and an expanded 7-item numeracy scale. The expanded scale assessed how well people 1) differentiate and perform simple mathematical operations on risk magnitudes using percentages and proportions, 2) convert percentages to proportions, 3) convert proportions to percentages, and 4) convert probabilities to proportions.
On average, 18% and 32% of participants correctly answered all of the general and expanded numeracy scale items, respectively. Approximately 16% to 20% incorrectly answered the most straightforward questions pertaining to risk magnitudes (e.g., Which represents the larger risk: 1%, 5%, or 10%?). A factor analysis revealed that the general and expanded risk numeracy items tapped the construct of global numeracy.
These results suggest that even highly educated participants have difficulty with relatively simple numeracy questions, thus replicating in part earlier studies. The implication is that usual strategies for communicating numerical risk may be flawed. Methods and consequences of communicating health risk information tailored to a person's level of numeracy should be explored further.
To explore the process by which elderly persons make decisions about a surgical treatment, total joint arthroplasty (TJA).
In-depth interviews with 17 elderly individuals identified as potential candidates for TJA who were unwilling to undergo the procedure.
For the majority of participants, decision making involved ongoing deliberation of the surgical option, often resulting in a deferral of the treatment decision. Three assumptions may constrain elderly persons from making a decision about surgery. First, some participants viewed osteoarthritis not as a disease but as a normal part of aging. Second, despite being candidates for TJA according to medical criteria, many participants believed candidacy required a level of pain and disability higher than their current level. Third, some participants believed that if they either required or would benefit from TJA, their physicians would advise surgery.
These assumptions may limit the possibility for shared decision making.
Emphasis should be directed toward thinking about ways in which discussions about TJA might be initiated (and by whom) and considering how patients' views on and knowledge of osteoarthritis in general might be addressed.
The present study (N = 86) sought to evaluate a laboratory-based behavioral measure of risk taking (the Balloon Analogue Risk Task; BART) and to test associations between this measure and self-report measures of risk-related constructs as well as self-reported real-world risk behaviors. The BART evidenced sound experimental properties, and riskiness on the BART was correlated with scores on measures of sensation seeking, impulsivity, and deficiencies in behavioral constraint. Also, riskiness on the BART was correlated with the self-reported occurrence of addictive, health, and safety risk behaviors, with the task accounting for variance in these behaviors beyond that accounted for by demographics and self-report measures of risk-related constructs. These results indicate that the BART may be a useful tool in the assessment of risk taking.
n-back letter and fractal tasks were administered to 11 participants during functional magnetic resonance imaging to test process specificity theories of prefrontal cortex (PFC) function and assess task validity. Tasks were matched on accuracy, but fractal n-back responses were slower and more conservative. Maintenance (1-back minus 0-back) activated inferior parietal and dorsolateral PFC, with additional activation in right ventrolateral PFC during letter n-back and left lingual gyrus during fractal n-back. Maintenance plus manipulation (2-back minus 0-back) activated inferior parietal, Broca's area, insula, and dorsolateral and ventral PFC, with greater right dorsolateral PFC activation for letter n-back. Manipulation only (2-back minus 1-back) produced additional and equivalent dorsolateral PFC and anterior cingulate activation in both tasks. Results support fractal n-back validity and indicate substantial overlap in working memory functions of dorsal and ventral PFC.
In trying to better understand why individuals begin and continue to smoke despite the obvious health consequences, researchers have become interested in identifying relevant personality variables, such as risk taking. In this study, the authors compared the ability of 2 behavioral measures of risk taking, the Bechara Gambling Task (BGT) and the Balloon Analogue Risk Task (BART), to differentiate smokers and nonsmokers. Self-report measures of impulsivity and sensation seeking were taken for comparison with the 2 behavioral risk-taking tasks. Results indicate that behavior on the BART, and not the BGT, was related to smoking status. Further, when considered in a logistic regression analysis, only the Sensation Seeking total score and the BART score contributed uniquely to the differentiation of smokers and nonsmokers.
Using a multimethod approach, the authors conducted 4 studies to test life span hypotheses about goal orientations across adulthood. Confirming expectations, in Studies 1 and 2 younger adults reported a primary growth orientation in their goals, whereas older adults reported a stronger orientation toward maintenance and loss prevention. Orientation toward prevention of loss correlated negatively with well-being in younger adults. In older adults, orientation toward maintenance was positively associated with well-being. Studies 3 and 4 extend findings of a self-reported shift in goal orientation to the level of behavioral choice involving cognitive and physical fitness goals. Studies 3 and 4 also examine the role of expected resource demands. The shift in goal orientation is discussed as an adaptive mechanism to manage changing opportunities and constraints across adulthood.
According to socioemotional selectivity theory, age-related constraints on time horizons are associated with motivational changes that increasingly favor goals related to emotional well-being. Such changes have implications for emotionally taxing tasks such as making decisions, especially when decisions require consideration of unpleasant information. This study examined age differences in information acquisition and recall in the health care realm. Using computer-based decision scenarios, 60 older and 60 young adults reviewed choice criteria that contained positive, negative, and neutral information about different physicians and health care plans. As predicted, older adults reviewed and recalled a greater proportion of positive than of negative information compared with young adults. Age differences were eliminated when motivational manipulations elicited information-gathering goals or when time perspective was controlled statistically. Implications for improving decision strategies in older adults are discussed.
Affective forecasting, experienced affect, and recalled affect were compared in younger and older adults during a task in which participants worked to win and avoid losing small monetary sums. Dynamic changes in affect were measured along valence and arousal dimensions, with probes during both anticipatory and consummatory task phases. Older and younger adults displayed distinct patterns of affect dynamics. Younger adults reported increased negative arousal during loss anticipation and positive arousal during gain anticipation. In contrast, older adults reported increased positive arousal during gain anticipation but showed no increase in negative arousal on trials involving loss anticipation. Additionally, younger adults reported large increases in valence after avoiding an anticipated loss, but older adults did not. Younger, but not older, adults exhibited forecasting errors on the arousal dimension, underestimating increases in arousal during anticipation of gains and losses and overestimating increases in arousal in response to gain outcomes. Overall, the findings are consistent with a growing literature suggesting that older people experience less negative emotion than their younger counterparts and further suggest that they may better predict dynamic changes in affect.
Objectives
With age, decision makers rely more on heuristic and affect-based processing. However, age differences have not been quantified with respect to the affect heuristic which derives judgments based on positive and negative feelings towards stimuli and concepts. The present study examined whether reliance on the affect heuristic is associated with age, whether these patterns vary by task type, and which covariates account for age effects.
Method
In a pre-registered study, an adult lifespan sample (N = 195, 21 – 90 years, Mage = 52.95, 50% female, 71% non-Hispanic White) completed a battery of cognitive, personality, and socioemotional covariates as well as three established affect heuristic tasks: (1) a risk-benefit task, (2) a dread-inference task, and (3) an affect-impact task. Reliance on affect was indexed through (1) a negative relationship between perceived food risks and benefits, (2) a positive relationship between feelings of dread and statistical inferences about mortality risks, and (3) a positive relationship between affective responses and impact judgments when evaluating catastrophes.
Results
For all three tasks, usage of the affect heuristic was documented at the group and the individual level. Contrary to hypotheses, age was not associated with affect heuristic use for any of the tasks. Affect heuristic indices did not correlate across tasks and showed no consistent associations with the covariates.
Discussion
Results suggest that the use of affect-based heuristics is context- or stimulus-dependent rather than a stable, age-associated trait. Further research is needed to validate the present results across additional domains, tasks, and stimulus types.
Older age has often, but not always, been associated with less risk taking. Inconsistencies may be due to diversity in the risk-taking measures used and/or individual differences in cognitive abilities. We investigated the robustness of age differences in risk taking across three measures, and tested whether age differences in risk taking remained after accounting for cognitive abilities. Younger (aged 25-36) and older (aged 60+) adults completed behavioral (i.e., Balloon Analogue Risk Task, BART) and self-report (i.e., framing tasks and Choice Dilemmas Questionnaire) measures of risk, as well as several measures of cognitive ability (i.e., analytic thinking, numeracy, processing speed, memory, and attention). Older adults showed significantly less risk taking than younger adults on the behavioral measure of risk, but not on the two self-report measures. Older adults also had significantly lower analytic thinking, slower processing speed, and worse executive control compared to younger adults. Less risk taking on the BART was associated with lower analytic thinking and numeracy, slower processing speed, and worse shifting of attention. Age differences in risk taking on the BART remained after accounting for older adults' lower scores on tests of cognitive abilities. Implications for measuring age differences in risk taking are discussed.
In the present study, we investigate how decision making under uncertainty is affected by age. We ran two experiments with young and older adults, systematically manipulating (1) uncertainty conditions (risk and ambiguity), (2) feedback on decisions and (3) requirements of the task regarding executive functions. Experiment 1 aims at investigating risk with a priori probabilities and ambiguity and the effects of feedback in a card game (N = 200; older adults: 97). The results reveal no age differences in choice behaviour under risk with a priori probabilities. If feedback is provided, we find that older adults are less ambiguity averse than young adults, whereas there is no significant age difference if no feedback is provided. Moreover, the presence of feedback had a positive effect on the propensity to gamble in uncertain conditions by influencing subjective probabilities for both age groups. Experiment 2 uses the Balloon Analogue Risk Task (BART) to investigate decision making with statistical probabilities (N = 100; older adults: 50). Here we report older adults being more risk averse, an effect that can be explained with age differences in sensitivity to prior choices. We support the results by comparing them to survey data and conclude that differences in uncertainty-processing exist between young and older adults. Possible explanations of these differences are discussed.
Age differences in decision-making are of theoretical interest and have important practical implications, but relevant lines of work are distributed across multiple disciplines and often lack integration. The present review proposes an overarching conceptual framework with the aim of connecting disjointed aspects of this field of research. The framework builds on process models of decision-making and specifies potential mechanisms behind age effects as well as relevant moderators including task characteristics and contextual factors. After summarizing the extant literature for each aspect of the framework, compensatory mechanisms and ecological fit between different components of the model are considered. Implications for real-life decision-making, remaining research gaps, and directions for future research are discussed.
Probiotics, Prebiotics, and Synbiotics: Bioactive Foods in Health Promotion reviews and presents new hypotheses and conclusions on the effects of different bioactive components of probiotics, prebiotics, and synbiotics to prevent disease and improve the health of various populations. Experts define and support the actions of bacteria; bacteria modified bioflavonoids and prebiotic fibrous materials and vegetable compounds. A major emphasis is placed on the health-promoting activities and bioactive components of probiotic bacteria. Offers a novel focus on synbiotics, carefully designed prebiotics probiotics combinations to help design functional food and nutraceutical products Discusses how prebiotics and probiotics are complementary and can be incorporated into food products and used as alternative medicines Defines the variety of applications of probiotics in health and disease resistance and provides key insights into how gut flora are modified by specific food materials Includes valuable information on how prebiotics are important sources of micro-and macronutrients that modify body functions
In a program of research assessing the validity of the balloon analogue risk task (BART; C. W. Lejuez et al., 2002) as a measure
of risk taking, the BART was administered to a sample of inner-city drug users in residential treatment (n = 76). Construct validity of the BART was evaluated by measuring risk-taking behavior and 3,4-methylenedioxymethamphetamine
(MDMA) use while controlling for self-reported impulsivity, sensation seeking, polysubstance use, and demographic variables.
Supporting the construct validity of the BART, while controlling for interrelated variables in the context of logistic regression
analyses, (BART) risk-taking propensity accounted for significant incremental variance in differentiating MDMA users from
non-users. BART scores, polysubstance use, and younger age were most associated with MDMA use, and together these variables
were associated with 91% classification accuracy in predicting MDMA use.
This study examined the impact of framing effects on performance in the Balloon Analogue Risk Task (BART). Seventy-two undergraduate participants were assigned to play the BART as either a gains task in which they had to pump up an animated balloon in order to win money (Group GBART) or as a losses task in which pumping up the balloon was necessary to avoid losing money (Group LBART). Each group went through the BART three times, playing for themselves, for their best friend, and for a charity president. Although there was no effect of the recipient on BART performance, individuals in the LBART group showed riskier performance (pumped up the balloon more) than GBART participants. Furthermore, GBART performance was significantly correlated with scores on the Zuckerman Sensation Seeking Scale while LBART scores were not. These findings support the idea that framing effects can affect performance on behavioral tasks aimed at measuring personality traits.
To provide a measure of the Big Five for contexts in which participant time is severely limited, we abbreviated the Big Five Inventory (BFI-44) to a 10-item version, the BFI-10. To permit its use in cross-cultural research, the BFI-10 was developed simultaneously in several samples in both English and German. Results focus on the psychometric characteristics of the 2-item scales on the BFI-10, including their part-whole correlations with the BFI-44 scales, retest reliability, structural validity, convergent validity with the NEO-PI-R and its facets, and external validity using peer ratings. Overall, results indicate that the BFI-10 scales retain significant levels of reliability and validity. Thus, reducing the items of the BFI-44 to less than a fourth yielded effect sizes that were lower than those for the full BFI-44 but still sufficient for research settings with truly limited time constraints.
Does risk taking change as a function of age? We conducted a systematic literature search and found 29 comparisons between younger and older adults on behavioral tasks thought to measure risk taking (N= 4,093). The reports relied on various tasks differing in several respects, such as the amount of learning required or the choice framing (gains vs. losses). The results suggest that age-related differences vary considerably as a function of task characteristics, in particular the learning requirements of the task. In decisions from experience, age-related differences in risk taking were a function of decreased learning performance: older adults were more risk seeking compared to younger adults when learning led to risk-avoidant behavior, but were more risk averse when learning led to risk-seeking behavior. In decisions from description, younger adults and older adults showed similar risk-taking behavior for the majority of the tasks, and there were no clear age-related differences as a function of gain/loss framing. We discuss limitations and strengths of past research and provide suggestions for future work on age-related differences in risk taking.
The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes
produce predictable shifts of preference when the same problem is framed in different ways. Reversals of preference are demonstrated
in choices regarding monetary outcomes, both hypothetical and real, and in questions pertaining to the loss of human lives.
The effects of frames on preferences are compared to the effects of perspectives on perceptual appearance. The dependence
of preferences on the formulation of decision problems is a significant concern for the theory of rational choice.
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