Toward quantifying the abuse liability of ultraviolet tanning: A behavioral economic approach to tanning addiction

Many adults engage in ultraviolet indoor tanning despite evidence of its association with skin cancer. The constellation of behaviors associated with ultraviolet indoor tanning is analogous to that in other behavioral addictions. Despite a growing literature on ultraviolet indoor tanning as an addiction, there remains no consensus on how to identify ultraviolet indoor tanning addictive tendencies. The purpose of the present study was to translate a behavioral economic task more commonly used in substance abuse to quantify the "abuse liability" of ultraviolet indoor tanning, establish construct validity, and determine convergent validity with the most commonly used diagnostic tools for ultraviolet indoor tanning addiction (i.e., mCAGE and mDSM‐IV‐TR). We conducted a between‐groups study using a novel hypothetical Tanning Purchase Task to quantify intensity and elasticity of ultraviolet indoor tanning demand and permit statistical comparisons with the mCAGE and mDSM‐IV‐TR. Results suggest that behavioral economic demand is related to ultraviolet indoor tanning addiction status and adequately discriminates between potential addicted individuals from nonaddicted individuals. Moreover, we provide evidence that the Tanning Purchase Task renders behavioral economic indicators that are relevant to public health research. The present findings are limited to two ultraviolet indoor tanning addiction tools and a relatively small sample of high‐risk ultraviolet indoor tanning users; however, these pilot data demonstrate the potential for behavioral economic assessment tools as diagnostic and research aids in ultraviolet indoor tanning addiction studies.     

A crowdsourced nickel‐and‐dime approach to analog OBM research: A behavioral economic framework for understanding workforce attrition

Incentives are a popular method to achieve desired employee performance; however, research on optimal incentive magnitude is lacking. Behavioral economic demand curves model persistence of responding in the face of increasing cost and may be suitable to examine the reinforcing value of incentives on work performance. The present use‐inspired basic study integrated an experiential human operant task within a crowdsourcing platform to evaluate the applicability of behavioral economics for quantifying changes in workforce attrition. Participants included 88 Amazon Mechanical Turk Workers who earned either a $0.05 or $0.10 incentive for completing a progressively increasing response requirement. Analyses revealed statistically significant differences in breakpoint between the two groups. Additionally, a novel translation of the Kaplan‐Meier survival‐curve analyses for use within a demand curve framework allowed for examination of elasticity of workforce attrition. Results indicate greater inelastic attrition in the $0.05 group. We discuss the benefits of a behavioral economic approach to modeling employee behavior, how the metrics obtained from the elasticity of workforce attrition analyses (e.g., P _max) may be used to set goals for employee behavior while balancing organizational costs, and how economy type may have influenced observed outcomes.     

Promoting the emergence of advanced knowledge: A review of peak relational training system: Direct training module by Mark R. Dixon

Mark Dixon's (2014) manual, PEAK Relational Training System: Direct Training Module, proposes a novel approach to manualized evaluation and curriculum development. Dixon's PEAK system, introduced in the book as the first of four modules, translates derived relational responding methodology into a new verbal‐behavior approach. The PEAK system is firmly rooted in the basic, conceptual, and applied behavior‐analytic tradition; however, it differs substantially from the competition in its unique application of relational frame theory to produce efficient learning. The manual's accessible nature renders it a viable product for many users and readers. The growing empirical support for PEAK’s efficacy, usability, and psychometrics is impressive and provides a robust empirical basis for the system that is not described within the pages of the manual. Behavior analysts may shy away from a manualized system that explicitly omits discussion of scholarship and empirical bases but would be remiss in doing so, given the potential of PEAK to revolutionize the way clinicians and parents apply the verbal behavior approach.     

Effects of peripheral immune activation on social behavior and adrenocortical activity in aggressive mice: Genotype-environment interactions

To explore genetic-developmental differences in the biobehavioral effects of induced illness, males from two lines of mice selectively bred for high or low levels of aggressive behavior were injected with endotoxin (Escherichia coli, LPS: 0.25 mg/kg, 1.25 mg/kg, or 2.5 mg, i.p.) or saline. Body temperature, weight, and locomotor activity were monitored immediately before and 8 and 24 hr after injection. Twenty-four hours after injection, social behaviors were assessed in a 10-min dyadic test, and hypothalamus, spleen, and serum were collected. In both lines, endotoxin treatment increased behavioral immobility ("freezing") and decreased social exploration. Other effects showed line differences: Males from the high-aggressive line had a lower threshold to endotoxin-induced effects on body temperature, weight loss, spleen weight, and corticosterone. Social reactivity (startle response to mild social investigation) increased in the high-aggressive line and decreased in the low-aggressive line after treatment. In the high-aggressive line only, endotoxin decreased attack frequency and increased latency to attack. The interactions between selected line (genotype) and endotoxin treatment (environment) demonstrate that genetic-developmental differences in social and aggressive behavior may indicate the extent to which immune stimuli (e.g., bacteria, viruses, cytokines) function as "biobehavioral stressors." Aggr. Behav. 23:93–105, 1997.© 1997 Wiley-Liss, Inc.     

The relationship between self-efficacy,readiness to change,and AUDIT risk levels in a sample of active duty emergency department patients

The purpose of this study was to test the relationship between self-efficacy, readiness to change, and Alcohol Use Disorders Identification Test (AUDIT) risk levels in a sample of active duty drinkers who were seeking care in a military emergency department. Civilian health educators screened participants for alcohol use with the AUDIT and collected sociodemographic, service, and drinking-related cognitions data from active duty patients admitted to an emergency department. A total of 787 active duty military personnel participated in the study. Almost half (48%) drank at least once a week and 32% reported consuming five or more alcoholic drinks during a typical drinking episode. One in five participants reported heavy episodic drinking weekly to almost daily. Results of a multinomial logistic regression model showed that active duty service members with a self-reported diagnosis of posttraumatic stress disorder since joining the military were more likely to be an at-risk or high/severe risk drinker relative to a low risk drinker. Higher controlled drinking self-efficacy was associated with a decrease in the odds of being either an at-risk or high/severe risk drinker. Increased readiness to reduce drinking was associated with an increase in the odds of being either an at risk or high/severe risk drinker. The results of this research suggest self-efficacy to control one’s heavy drinking as well as readiness to change may be important factors to consider when designing alcohol education programs within the military.     

Over‐selective Responding in a Diagnostic Judgment Task

Medical diagnoses are often made on the basis of the presence of multiple symptoms. However, little is known about how the presence of multiple simultaneous symptoms may influence a bias in determining which symptoms are identified, in part due to a lack of an experimental analogue of this process. The current article presents a laboratory analogue of this process and explores whether over‐selectivity influences the ability to identify symptoms indicative of particular illnesses. In two experiments, participants completed a diagnosis task that required them to rate the degree to which symptoms predicted illnesses, with predictor symptoms being presented either singly or in compound. In both experiments, over‐selectivity was observed; one symptom of the compound received lower ratings, compared to the other element of the compound and the single predictor, while the other component received comparable ratings with the element. These findings are discussed in relation to associative accounts of over‐selectivity and as a procedure to study biases in medical decision making.Copyright © 2017 John Wiley & Sons, Ltd.     

A Qualitative Study of Factors Influencing Decision-Making after Prenatal Diagnosis of down Syndrome

Previous research has identified twenty-six factors that may affect pregnancy management decisions following prenatal diagnosis of DS; however, there is no consensus about the relative importance or effects of these factors. In order to better understand patient decision-making, we conducted expansive cognitive interviews with nine former patients who received a prenatal diagnosis of DS. Our results suggest that patients attached unique meanings to factors influencing decision-making regardless of the pregnancy outcome. Nineteen of the twenty-six factors previously studied and four novel factors (rationale for testing, information quality, pregnancy experience, and perception of parenting abilities and goals) were found to be important to decision-making. We argue that qualitative studies can help characterize the complexity of decision-making following prenatal diagnosis of DS.     

Confirmation of correlation between brain nerve conduction velocity and intelligence level in normal adults

In 1992, Reed and Jensen [Intelligence 16 (1992) 259–272] reported a positive correlation (.26; p=.002; .37 after correcting for restricted intelligence range) between a brain nerve conduction velocity (NCV) and intelligence level in 147 normal male students. In the first follow-up of their study, we report on a study using similar NCV methodologies, but testing both male and female students and using more extensive measures of cognitive abilities. One-hundred eighty-six males and 201 females, aged 18–25 years, were tested in three different NCV conditions and with nine cognitive tests, including Raven Progressive Matrices as used by Reed and Jensen. None of the 27 independent correlations in either the males or in the females are significant at Bonferroni-corrected probability levels, but 25 of 27 correlations in males and 20 of 27 correlations in females have positive signs. The exact binomial probabilities for these results are 5.6×10⁻⁶ and .002, respectively. We discuss possible reasons for the differences between the results of Reed and Jensen and our results. We also find that males have four percent faster NCVs than females with each of the three test conditions, probably due to their faster increase of white matter in the brain during adolescence.