Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle

Dimensional Affective Sensitivity to Hormones across the Menstrual Cycle (DASH-MC): A transdiagnostic framework for ovarian steroid influences on psychopathology

Fluctuations in progesterone (P4) and estradiol (E2) across the menstrual cycle can exert direct effects on biological systems implicated in neuropsychiatric disorders and represent a key biological source of variability in affective, cognitive, and behavioral disorders. Although these cyclical symptoms may be most readily identified when they occur exclusively in relation to the menstrual cycle, as in DSM-5 premenstrual dysphoric disorder, symptom changes of similar magnitude occur in a larger proportion of people with ongoing psychiatric disorders. Studies investigating cyclical regulation of brain and behavior often produce inconsistent results, which may be attributed to a lack of focus on specific hormonal events and individual differences in related sensitivities. We propose a transdiagnostic Dimensional Affective Sensitivity to Hormones across the Menstrual Cycle (DASH-MC) framework, postulating that atypical neural responses to several key hormonal events provoke specific temporal patterns of affective and behavioral change across the menstrual cycle. We review prospective and experimental evidence providing initial support for these dimensions, which include (1) luteal-onset negative affect caused by a sensitivity to E2 or P4 surges (mediated by neuroactive metabolites such as allopregnanolone), typified by irritability and hyperarousal; (2) perimenstrual-onset negative affect caused by a sensitivity to low or falling E2, typified by low mood and cognitive dysfunction; and (3) preovulatory-onset positive affect dysregulation caused by a sensitivity to E2 surges, typified by harmful substance use and other risky reward-seeking. This multidimensional, transdiagnostic framework for hormone sensitivity can inform more precise research on ovarian steroid regulation of psychopathology, including further mechanistic research, diagnostic refinement, and precision psychiatry treatment development. Additionally, given the high rates of hormone sensitivity across affective disorders, the DASH-MC may guide broader insights into the complex neurobiological vulnerabilities driving female-biased affective risk, as well as potential triggers and mechanisms of affective state change in psychiatric disorders.

A review and p-curve analysis of research on the menstrual cycle correlates of consumer preferences and economic decisions

A number of studies have been claimed to show that ovarian hormones, whose levels fluctuate throughout the menstrual cycle, affect consumer preferences and financial decisions. The present article aims to critically analyze the literature examining associations between the phases of the menstrual cycle (peri-ovulatory vs. non-ovulatory) with particular consumer preferences (especially regarding clothing choices) and economic decisions (especially in regards to economic games and risk-taking). A search for studies was conducted in Web of Science and Scopus between 2004 and 2022, by combining keywords of the menstrual cycle, consumer preferences, and economic decisions. Once articles were selected, we identified the main findings, the characteristics of the population, and the methods for determining the phases of the cycle. We performed a p-curve analysis on previously reported statistically significant effects. These analyses find evidence for associations between peri-ovulatory status and specific consumer preferences, most strongly for appearance-enhancing products. They yield no compelling evidence for associations between peri-ovulatory status and financial decisions and risk-taking. We offer provisional conclusions and call for additional studies that possess sufficient statistical power to detect true meaningful effects, especially in the domain of financial decisions.

The modulation of acute stress on model-free and model-based reinforcement learning in gambling disorder

BACKGROUND AND AIMS

Experiencing acute stress is common in behavioral addictions such as gambling disorder. Additionally, like most substance-induced addictions, aberrant decision-making wherein a reactive habit-induced response (conceptualized as a Model-free [MF] in reinforcement learning) suppresses a flexible goal-directed response (conceptualized as a Model-based [MB]) is also common in gambling disorder. In the current study we investigated the influence of acute stress on the balance between habitual response and the goal-directed system.

METHODS

A sample of N = 116 problem gamblers (PG) and healthy controls (HC) performed an acute stress task - the Socially Evaluated Cold pressure task (SECPT) - or a control task. Self-reported stress and salivary cortisol were collected as measures of acute stress. Following the SECPT, participants performed the Two-Step Markov Task to account for the relative contribution of MB and MF strategies. Additionally, verbal working memory and IQ measures were collected to account for their mediating effects on the orchestration between MB/MF and the impact of stress.

RESULTS

Both groups had comparable baseline and stress-induced cortisol response to the SECPT. Non-stressed PG displayed lower MB learning than HC. MANOVA and regression analyses showed a deleterious effect of stress-induced cortisol response on the orchestration between MB and MF learning in HC but not in PG. These effects remained when controlling for working memory and IQ.

DISCUSSION AND CONCLUSIONS

We found an abnormal pattern of modulation of stress on the orchestration between MB and MF learning among PG. Several interpretations and future research directions are discussed.

The impact of depressed mood and coping motives on cannabis use quantity across the menstrual cycle in those with and without pre-menstrual dysphoric disorder

BACKGROUND AND AIMS

Reported rates of cannabis use among Canadian females are increasing. Female cannabis users progress to cannabis use disorder more rapidly than males (telescoping) and have higher rates of emotional disorder comorbidity. Addictive behaviors may change, along with mood and motivations, across the menstrual cycle (MC), particularly for females with pre-menstrual dysphoric disorder (PMDD). This study aimed to determine whether increases in depressed mood and coping motives would predict increased cannabis use pre-menstrually/menstrually, particularly among females with PMDD. We also assessed positive mood and enhancement motive ratings to establish specificity of predicted depressed mood and coping motive results.

DESIGN

Observational study using data collected across 32 days using electronic daily diary methods.

SETTING

Nova Scotia, Canada.

PARTICIPANTS

Sixty-nine naturally cycling female cannabis users (Mean (M) age = 29.25, Standard Deviation  (SD) = 5.66) with and without retrospectively identified PMDD (via structured clinical interview) and prospectively identified PMDD (via elevated pre-menstrual depressed mood). Self-reported MC phase was validated using salivary progesterone concentrations.

MEASUREMENTS

Depressed/positive mood, coping-/enhancement-motivated cannabis use, and cannabis use quantity.

FINDINGS

Coping motives explained heightened cannabis use pre-menstrually/menstrually in those with retrospectively identified PMDD. Depressed mood explained increased cannabis use menstrually in those with retrospectively/prospectively identified PMDD. Moreover, prospectively identified PMDD significantly moderated the relationship between depressed mood and cannabis use quantity menstrually. In those with prospectively identified PMDD, positive mood and enhancement motives were associated with decreased cannabis use during the follicular/ovulatory phases. Females with versus without retrospectively identified PMDD also displayed greater overall cannabis use quantity (M [SD] = 3.44[2.84] standard joint equivalents versus 1.85[1.82], respectively; U = 277.50, P = 0.008).

CONCLUSIONS

Depressed mood may explain heightened cannabis use menstrually in females with pre-menstrual dysphoric disorder. Coping motives may explain heightened cannabis use pre-menstrually/menstrually in females with retrospectively identified with pre-menstrual dysphoric disorder.

Addictive behaviors across the menstrual cycle: a systematic review

Research examining relations between menstrual cycle phase and female addictive behaviors is accumulating. Theories suggest addictive behaviors may increase during specific phases of the menstrual cycle resulting from cyclical fluctuations in hormones and affect. In line with self-medication theory, we predicted that addictive behaviors would increase premenstrually and menstrually, phases marked by elevations in negative affect, relative to the follicular and luteal phases. We also hypothesized, coinciding with reward-sensitivity theory, that addictive behaviors may increase during ovulation, a phase characterized by increased positive affect, compared to the same phases. This systematic review summarizes extant literature examining the menstrual cycle phase-addictive behavior relationship and underlying motivations. Articles pertaining to menstrual cycle phase and addictive behaviors within the PsycINFO, CINAL, and PubMED databases were screened to determine eligibility following PRISMA guidelines (n = 1568). Thirty-four articles examining alcohol use, cannabis use, nicotine use, caffeine use, and gambling behavior across menstrual cycle phase met inclusion criteria. Consistent with self-medication theory, strong evidence indicated that nicotine use increased premenstrually and menstrually. Other factors increasing both nicotine and alcohol use premenstrually and menstrually include having a premenstrual dysphoric disorder diagnosis or having premenstrual syndrome. Motivations for using alcohol and nicotine may too vary by menstrual cycle phase. Results were less consistent or understudied for other addictive behaviors and thus conclusions cannot be drawn. Menstrual cycle phase appears to be a female-specific factor affecting some addictive behaviors, particularly nicotine use, and should be considered when conducting addictive behavior research or clinical interventions for reproductive-aged females with addictive disorders.

The Use of the Intensive Longitudinal Methods to Study Financial Well-Being: A Scoping Review and Future Research Agenda

Financial well-being is a positive financial condition that has an objective (e.g., income) and a subjective (e.g., financial satisfaction) side. Much research has examined financial well-being using cross-sectional and classic longitudinal designs. More recently, researchers have begun to examine financial well-being using intensive longitudinal designs, collecting data in a repeated (at least five measurements) and intensive (short time interval between measurements) way. The goal of the current study was to systematically review all published research on financial well-being using intensive longitudinal methods, summarize themes from this work, and suggest future research directions. Searching three databases (Scopus, PsycINFO, Econpapers), we found nine articles that respected inclusion and exclusion criteria. From each selected article, we extracted information about (1) research field diffusion, (2) data collection methods, (3) financial well-being's definition and operationalization, (4) research questions addressed and (5) data analysis. Findings showed that most of the studies adopted an interval-contingent research design, collecting data once a day; that both the objective and subjective sides of the construct were assessed, and that, most of the time, the construct was conceptualized as financial stress (lack of financial well-being). Different kinds of research questions were addressed across studies and these were often analyzed using multilevel analysis. In the discussion section, future research directions are suggested.

High Recreational Gamblers Show Increased Stimulatory Effects of an Acute Laboratory Gambling Challenge

Gambling in moderation is a socially acceptable behavior and over 60% of the Swedish population gambles every year. It has been seen that slot machines are one of the most addictive and problematic forms of gambling and contribute highly to an addictive behavior. It is unclear why some individuals intensify their gambling behavior over time to extreme levels while others do not. Initial positive response of a drug or as in this case a gambling behavior, most likely influences the likelihood of continuing use in non-addicted individuals. Therefore, we wanted to investigate if recreational gamblers show an altered subjective response to an online gambling challenge, e.g. to casino gambling. The present study was designed to examine the subjective effects after an acute gambling challenge, in healthy recreational gamblers compared with non-gamblers. Eighty-two subjects participated in the study. They were challenged with an acute online slot machine gambling challenge and self-report questionnaires of mood and blood pressure were taken before and after gambling. The gamblers, and more specifically the high recreational gamblers, reported increased stimulative effects after the gambling challenge in comparison to the non-gamblers. Findings suggests that gamblers experience significantly higher arousal effects to an acute online slot machine challenge. This response may be a uniquely predictive behavior for increased risk of gambling addiction.

The effects of alcohol on sequential decision-making biases during gambling

RATIONALE

Gambling and alcohol use are recreational behaviours that share substantial commonalities at a phenomenological, clinical and neurobiological level. Past studies have shown that alcohol can have a disinhibiting effect on gambling behaviour, in terms of bet size and persistence.

OBJECTIVES

This study was conducted in order to characterise how alcohol affects biases in judgment and decision-making that occur during gambling, with a focus on sequential decision-making including the gambler's fallacy.

METHODS

Sequential biases were elicited via a roulette-based gambling task. Using a standard between-groups alcohol challenge procedure, male participants played the roulette task 20 min after receiving an alcoholic (0.8 g/kg; n = 22) or placebo (n = 16) beverage. The task measured colour choice decisions (red/black) and bet size, in response to varying lengths of colour runs and winning/losing feedback streaks.

RESULTS

Across both groups, a number of established sequential biases were observed. On colour choice, there was an effect of run length in line with the gambler's fallacy, which further varied by previous feedback (wins vs losses). Bet size increased with feedback streaks, especially for losing streaks. Compared to placebo, the alcohol group placed higher bets following losses compared to wins.

CONCLUSIONS

Increased bet size after losses following alcohol consumption may reflect increased loss chasing that may amplify gambling harms. Our results do not fit a simple pattern of enhanced gambling distortions or reward sensitivity, but help contextualise the effects of alcohol on gambling to research on decision-making biases.

Gambling Dual Disorder: A Dual Disorder and Clinical Neuroscience Perspective

Several behaviors, including compulsive gambling, have been considered non-substance-related addictive disorders. Categorical mental disorders (e.g., DSM-5) are usually accompanied by very different symptomatic expressions (affective, behavioral, cognitive, substance abuse, personality traits). When these mental disorders occur with addictive disorders, either concomitantly or sequentially over the life span, this clinical condition is called a dual disorder. Gambling disorder (GD) has been associated with other categorical psychiatric diagnoses: attention deficit hyperactivity disorder, depression, bipolar disorder, social anxiety, schizophrenia, substance use disorder, antisocial personality disorder; and dimensional symptoms including higher impulsivity, poorer emotional wellbeing, cognitive distortion, psychosis, deficient self-regulation, suicide, poorer family environment, and greater mental distress. We are calling this clinical condition Gambling Dual Disorder. From a clinical perspective, it is clear that Gambling Dual Disorder is not the exception but rather the expectation, and this holds true not just for GD, but also for other mental disorders including other addictions. Mental disorders are viewed as biological disorders that involve brain circuits that implicate specific domains of cognition, emotion, and behavior. This narrative review presents the state of the art with respect to GD in order to address current matters from a dual disorder, precision psychiatry, and clinical neuroscience perspective, rather than the more subjective approach of symptomatology and clinical presentation. This review also presents Gambling Dual Disorder as a brain and neurodevelopmental disorder, including from the perspectives of evolutionary psychiatry, genetics, impulsivity as an endophenotype, the self-medication hypothesis, and sexual biological differences. The wide vision of the disease advances a paradigm shift, highlighting how GD and dual disorders should be conceptualized, diagnosed, and treated. Rethinking GD as part of a dual disorder is crucial for its appropriate conceptualization from the perspective of clinical neuroscience and precision psychiatry.

Ovarian Hormones as a Source of Fluctuating Biological Vulnerability in Borderline Personality Disorder

PURPOSE OF REVIEW

To examine the potential role of ovarian hormones in biological vulnerability to borderline personality disorder (BPD). The review focuses primarily on research examining the menstrual cycle as a source of short-term lability of BPD symptom expression, while discussing the currently understudied possibility of ovarian hormone influence in the developmental course of BPD.

FINDINGS

Several patterns of menstrual cycle effects on BPD symptoms and relevant features in non-clinical samples have been observed in empirical studies. Most symptoms demonstrated patterns consistent with perimenstrual exacerbation; however, timing varied between high and low arousal symptoms, potentially reflecting differing mechanisms. Symptoms are typically lowest around ovulation, with an exception for proactive aggression and some forms of impulsive behaviors. Preliminary evidence suggests ovarian hormones may exert strong effects on BPD symptom expression, and further research is warranted examining mechanisms and developing interventions. Recommendations for researchers and clinicians working with BPD are provided.