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Negative reinforcement is proposed to mediate associations between sleep and alcohol use, especially among people with depression and/or anxiety symptoms. Worse sleep (e.g., shorter duration, less efficiency, more irregular timing) exacerbates negative emotions, which alcohol may temporarily relieve. Not yet examined, we propose sleep indirectly impacts early stages of alcohol use via differences in negative reinforcement learning (NRL), since sleep impacts emotion, reward response, and learning. The current study aimed to replicate associations between sleep and alcohol use, test associations with NRL, and examine indirect associations between sleep health and alcohol use via NRL among 60 underage college students (ages 18–20 years, 77% female) varying in depression and anxiety symptoms. Participants wore Fitbit smartwatches and completed daily diaries measuring sleep and substance use for ∼14 days before completing two computer tasks assessing social (SNRL) and monetary (MNRL) negative reinforcement learning. Robust generalized linear models tested direct associations within the proposed model. SNRL performance was positively associated with alcohol use, but no other associations were observed. Statistical mediation models failed to indicate indirect effects of sleep on alcohol use via SNRL or MNRL performance. Post-hoc exploratory models examining depression and anxiety symptoms as moderators of direct associations indicated several interactions. Positive associations between sleep timing variability and alcohol use were weakened at higher anxiety symptom severity and stronger at higher depression symptom severity. The positive association between SNRL performance and alcohol use was also stronger at higher depression symptom severity. Among students with elevated depression symptoms, variable sleep timing and stronger SNRL performance were independently associated with more alcohol use, but indirect effects were not supported. Future research should replicate findings, confirm causality of interactions, and examine sleep timing and behavioral responses to negative social stimuli as targets for improving alcohol-related outcomes among underage college students with elevated depressive symptoms. •Varied sleep timing links to more alcohol use at high depression symptom severity.•Varied sleep timing links to more alcohol use at low anxiety symptom severity.•Stronger social negative reinforcement learning (SNRL) is tied to more alcohol use.•Depression symptoms potentiate the association between SNRL and alcohol use.

This handbook gathers the many elements of this burgeoning field and organizes them into a concise, powerful, dynamic knowledge base - theory, research, and applications. Its chapters are written by leading experts, including the primary developers of PBS.

PurposeConsidering the popularity and addictive attributes of short-form videos, this study aims to determine mechanisms by which short-form video features affect addiction.Design/methodology/approachThis study conducts empirical research using data collected from 382 Chinese TikTok users. Based on the stimulus–organism–response framework, the research model was constructed from the opponent process theory (OPT) perspective through features and emotional elements.FindingsThe results show that short-form video features influence addiction by activating users' perceived enjoyment and feeling of withdrawal. Based on the positive and negative reinforcement of the OPT, users must repeatedly interact with short-form videos to maintain positive emotions or reduce negative emotions. Eventually, this practice will lead to addiction. Additionally, users' procrastination moderates the relationship between feeling of withdrawal and addiction.Originality/valueThis study discussed how features influence addiction through opponent emotions on short-form video from the OPT perspective, enriching scholars' research on social media addiction. Furthermore, this study examined the moderating effects of procrastination and identifies unique features of short-form videos.

Aberrant reward functioning is implicated in depression. While attention precedes behavior and guides higher-order cognitive processes, reward learning from an attentional perspective - the effects of prior reward-learning on subsequent attention allocation - has been mainly overlooked. The present study explored the effects of reward-based attentional learning in depression using two separate, yet complimentary, studies. In study 1, participants with high (HD) and low (LD) levels of depression symptoms were trained to divert their gaze toward one type of stimuli over another using a novel gaze-contingent music reward paradigm - music played when fixating the desired stimulus type and stopped when gazing the alternate one. Attention allocation was assessed before, during, and following training. In study 2, using negative reinforcement, the same attention allocation pattern was trained while substituting the appetitive music reward for gazing the desired stimulus type with the removal of an aversive sound (i.e. white noise). In study 1 both groups showed the intended shift in attention allocation during training (online reward learning), while generalization of learning at post-training was only evident among LD participants. Conversely, in study 2 both groups showed post-training generalization. Results were maintained when introducing anxiety as a covariate, and when using a more powerful sensitivity analysis. Finally, HD participants showed higher learning speed than LD participants during initial online learning, but only when using negative, not positive, reinforcement. Deficient generalization of learning characterizes the attentional system of HD individuals, but only when using reward-based positive reinforcement, not negative reinforcement.

Self‐injurious behavior (SIB) is maintained by automatic reinforcement in roughly 25% of cases. Automatically reinforced SIB typically has been considered a single functional category, and is less understood than socially reinforced SIB. Subtyping automatically reinforced SIB into functional categories has the potential to guide the development of more targeted interventions and increase our understanding of its biological underpinnings. The current study involved an analysis of 39 individuals with automatically reinforced SIB and a comparison group of 13 individuals with socially reinforced SIB. Automatically reinforced SIB was categorized into 3 subtypes based on patterns of responding in the functional analysis and the presence of self‐restraint. These response features were selected as the basis for subtyping on the premise that they could reflect functional properties of SIB unique to each subtype. Analysis of treatment data revealed important differences across subtypes and provides preliminary support to warrant additional research on this proposed subtyping model.

Alcohol use disorder is a chronically relapsing disorder that is characterized by compulsive drug seeking and is hypothesized to result from multiple sources of motivational dysregulation in a three-stage cycle of addiction (incentive salience/pathological habits, withdrawal/negative affect, and preoccupation/anticipation). One major source of motivation in the withdrawal/negative affect stage is the physical pain and emotional pain of withdrawal and protracted withdrawal that drive pronounced drug-seeking behavior via the process of negative reinforcement. The construct of negative reinforcement is defined as alcohol taking to alleviate both physical pain and emotional pain (hyperkatifeia) that are created by alcohol abstinence following excessive alcohol consumption. Hyperkatifeia (derived from the Greek “katifeia” for dejection or negative emotional state) is defined as an increase in intensity of the constellation of negative emotional or motivational signs and symptoms of withdrawal from drugs of addiction. In humans and animal models, the repeated misuse of alcohol results in hyperalgesia and hyperkatifeia and is reflected by elevations of reward thresholds, lower pain thresholds, and anxiety- and dysphoric-like responses during alcohol withdrawal. Such symptoms are hypothesized to derive from molecular and neurocircuitry neuroadaptations within the reward system and brain stress systems (e.g., corticotropin-releasing factor, dynorphin, norepinephrine, hypocretin, vasopressin, glucocorticoids, and neuroimmune factors) and brain anti-stress systems (e.g., neuropeptide Y, endocannabinoids, and oxytocin) in the extended amygdala. Thus, our hypothesis is that alcohol withdrawal-induced hyperalgesia and hyperkatifeia persist into protracted withdrawal and contribute to the development and persistence of compulsive alcohol seeking. A conceptual framework for the intersection of physical and emotional pain in addiction is elaborated in the Catastrophizing, Anxiety, Negative Urgency, and Expectancy (CANUE) model, and a significant overlap of brain circuits that mediate emotional pain and physical pain involves the extended amygdala. The intersection of emotional and physical pain reinforces even more dramatically the role of negative reinforcement in alcohol addiction and fits a framework of allostasis (defined as stability with change) where other allostatic loads (defined as the cost of breaks with homeostasis on the body), such as genetics/epigenetics, childhood trauma, and other stressors, exacerbate hyperalgesia/hyperkatifeia in driving alcohol use disorder. The focus on treating hyperalgesia/hyperkatifeia that is associated with acute and protracted withdrawal opens new and exciting avenues for understanding the etiology of alcohol use disorder. •Alcohol use disorder is characterized by compulsive drug seeking.•Alcohol use disorder involves motivational dysregulation of incentive salience/pathological habits, withdrawal/negative affect, and preoccupation/anticipation.•The repeated misuse of alcohol results in hyperalgesia and hyperkatifeia.•The withdrawal/negative affect stage involves physical pain and emotional pain that drive drug seeking via negative reinforcement.•Withdrawal involves neuroadaptations within brain reward, stress, and anti-stress systems.

The current study examines the relation between distress tolerance, perceived stress, and internalizing symptoms across adolescence. Participants included 331 youth, ages 10 to 14 at the first wave of the study, assessed annually over 5 years. A latent growth curve approach was used to test three research questions, including whether perceived stress would increase across adolescence, whether distress tolerance (as measured by a behavioral task) would predict changes in perceived stress, and whether changes in perceived stress would mediate the relation between distress tolerance and internalizing symptoms. Results suggest that, consistent with previous findings, rates of perceived stress do increase across adolescence. Further, findings indicate that distress intolerance at baseline predicted increases in perceived stress, which in turn drove increases in internalizing symptoms. These findings point to the critical role of distress tolerance in bringing about changes in depression and anxiety symptoms and suggest support for utilizing a negative reinforcement framework to understand the emergence of internalizing symptomology.

Rationale and objectiveAvoidance of opioid withdrawal plays a key role in human opioid addiction. Here, we present a procedure for studying operant negative reinforcement in rats that was inspired by primate procedures where opioid-dependent subjects lever-press to prevent naloxone infusions.MethodsIn Experiment 1, we trained rats (n = 30, 15 females) to lever-press to escape and then avoid mild footshocks (0.13–0.27 mA) for 35 days (30 trials/d). Next, we catheterized them and implanted minipumps containing methadone (10 mg/kg/day) or saline. We then paired (4 times, single session) a light cue (20-s) with a naloxone infusion (20 µg/kg, i.v) that precipitated opioid withdrawal. Next, we trained the rats to escape naloxone injections for 10 days (30 trials/d). Each trial started with the onset of the opioid-withdrawal cue. After 20-s, the lever extended, and an infusion of naloxone (1 to 2.2 µg/kg/infusion) began; a lever-press during an 11-s window terminated the withdrawal-paired cue and the infusion. In Experiment 2, we trained rats (n = 34, 17 females) on the same procedure but decreased the footshock escape/avoidance training to 20 days.ResultsAll rats learned to lever-press to escape or avoid mild footshocks. In both experiments, a subset, 56% (10/18) and 33% (8/24) of methadone-dependent rats learned to lever-press to escape naloxone infusions.ConclusionsWe introduce an operant negative reinforcement procedure where a subset of opioid-dependent rats learned to lever-press to escape withdrawal-inducing naloxone infusions. The procedure can be used to study mechanisms of individual differences in opioid negative reinforcement-related behaviors in opioid-dependent rats.

Compulsive smartphone use has attracted extensive social attention because of serious and even fatal outcomes associated with it. However, there has been little theory-driven research systematically investigating the mechanism of compulsive behavior in smartphone use. Although a significant line of literature exists in the area of personal-computer based technology addiction, the mechanism underpinning compulsive smartphone use differs significantly because the unique and specific characteristics of smartphones have given rise to a fundamentally different usage context with new usage behavioral patterns. In order to comprehensively theorize this issue, we first defined compulsive behavior in smartphone use, focusing on mobile social networking services (SNSs) in particular, and then extended the stimulus-response-reinforcement framework to investigate the theoretical network of compulsive use of mobile SNSs. We used online survey data from 368 active mobile SNS users in China to empirically test and validate the proposed model and hypotheses. Our results indicate that both positive and negative reinforcements, as well as the compensatory component, invoke the feeling of urge that leads to compulsive mobile SNS use. The positive effects of interactivity as an incentive stimulus on those reinforcements and compulsive mobile SNS use were also found to be significant.

Self-injurious behaviour is purportedly common in autism, but prevalence rates have not yet been synthesised meta-analytically. In the present study, data from 14,379 participants in thirty-seven papers were analysed to generate a pooled prevalence estimate of self-injury in autism of 42% (confidence intervals 0.38–0.47). Hand-hitting topography was the most common form of self-injury (23%), self-cutting topography the least common (3%). Sub-group analyses revealed no association between study quality, participant intellectual disability or age and overall prevalence rate of self-injury. However, females obtained higher prevalence rates than males (p = .013) and hair pulling and self-scratching were associated with intellectual disability (p = .008 and p = .002, respectively). The results confirm very high rates of self-injury in autism and highlight within group risk-markers.