Relationship of sensation seeking with the neural correlates of appetitive conditioning

Factors associated with dating app use for sexual "hookups" in the United States: insights from the National Survey of Family Growth

BACKGROUND

The use of dating applications for matchmaking and sexual exploits ("hookups") has increased, and this modern phenomenon has supplanted traditional socialization and relationship formation. To date, sociodemographic data on the use of dating apps has been limited.

AIM

In this study, we sought to identify predictors associated with the use of dating apps in the United States.

METHODS

Using cross-sectional data from the 2017-2019 National Survey of Family Growth, we examined sociodemographic determinants influencing the use of dating apps to find partners for sexual intercourse. We constructed survey-weighted regression models to study these associations, with additional sensitivity analyses performed within specific subgroups. Furthermore, this study investigated the correlation of app use with sexual frequency.

OUTCOME

Study outcomes were participant data regarding reported use of dating apps for sexual intercourse in the 2017-2019 National Survey of Family Growth.

RESULTS

A total of 11,225 respondents were examined, representing a survey-weighted total of approximately 143,201, 286 Americans. Among them, 757 respondents (6.7%), equating to approximately 8, 818, 743 individuals, reported dating app use for sexual hookups. Regression analysis revealed that factors such as male sex, White race, previous sexual experience, substance/alcohol use, history of sexually transmitted infections, same-sex attraction, and bisexuality increased the likelihood of dating app usage. Conversely, reduced odds of dating app use were observed among Catholics, Protestants, married/widowed individuals, and older respondents. Stratified analyses across various demographics, including male and female individuals aged 20 to 40 years, heterosexual, and lesbian, gay, and bisexual respondents, generally supported these trends. Notably, dating app use did not correlate with increased sexual frequency (adjusted incidence rate ratio: 1.10; 95% CI: 0.96-1.26; P = .16).

CLINICAL IMPLICATIONS

Dating app use is prevalent among male patients and White individuals and correlates with increased sexually transmitted infection risk, alcohol/illicit substance use, past sexual experience, and popularity within the lesbian, gay, and bisexual community, all important considerations for public health interventions. Dating app use, however, was not associated with increased sexual encounters.

STRENGTHS AND LIMITATIONS

Strengths of our study were the utilization of a national survey of individuals of reproductive age in the United States and focus on a clearly defined outcome of dating app utilization for the purposes of sexual intercourse. Limitations include self-reported survey responses and insufficient detail on the types and duration of dating app platforms and their use.

CONCLUSIONS

Many sociodemographic factors, including male sex, White race, history of STIs, substance and alcohol use, and same-sex and bisexual attraction, were linked with dating app use. However, there was no increase in sexual frequency associated with dating app utilization. Further research is essential for integrating these technologies into the relational and sexual dynamics of individuals.

Appetitive conditioning with pornographic stimuli elicits stronger activation in reward regions than monetary and gaming-related stimuli

Appetitive conditioning plays an important role in the development and maintenance of pornography-use and gaming disorders. It is assumed that primary and secondary reinforcers are involved in these processes. Despite the common use of pornography and gaming in the general population appetitive conditioning processes in this context are still not well studied. This study aims to compare appetitive conditioning processes using primary (pornographic) and secondary (monetary and gaming-related) rewards as unconditioned stimuli (UCS) in the general population. Additionally, it investigates the conditioning processes with gaming-related stimuli as this type of UCS was not used in previous studies. Thirty-one subjects participated in a differential conditioning procedure in which four geometric symbols were paired with either pornographic, monetary, or gaming-related rewards or with nothing to become conditioned stimuli (CS + porn, CS + game, CS + money, and CS-) in an functional magnetic resonance imaging study. We observed elevated arousal and valence ratings as well as skin conductance responses for each CS+ condition compared to the CS-. On the neural level, we found activations during the presentation of the CS + porn in the bilateral nucleus accumbens, right medial orbitofrontal cortex, and the right ventral anterior cingulate cortex compared to the CS-, but no significant activations during CS + money and CS + game compared to the CS-. These results indicate that different processes emerge depending on whether primary and secondary rewards are presented separately or together in the same experimental paradigm. Additionally, monetary and gaming-related stimuli seem to have a lower appetitive value than pornographic rewards.

Cross-paradigm integration shows a common neural basis for aversive and appetitive conditioning

Sharing imaging data and comparing them across different psychological tasks is becoming increasingly possible as the open science movement advances. Such cross-paradigm integration has the potential to identify commonalities in findings that neighboring areas of study thought to be paradigm-specific. However, even the integration of research from closely related paradigms, such as aversive and appetitive classical conditioning is rare - even though qualitative comparisons already hint at how similar the 'fear network' and 'reward network' may be. We aimed to validate these theories by taking a multivariate approach to assess commonalities across paradigms empirically. Specifically, we quantified the similarity of an aversive conditioning pattern derived from meta-analysis to appetitive conditioning fMRI data. We tested pattern expression in three independent appetitive conditioning studies with 29, 76 and 38 participants each. During fMRI scanning, participants in each cohorts performed an appetitive conditioning task in which a CS+ was repeatedly rewarded with money and a CS- was never rewarded. The aversive pattern was highly similar to appetitive CS+ > CS- contrast maps across samples and variations of the appetitive conditioning paradigms. Moreover, the pattern distinguished the CS+ from the CS- with above-chance accuracy in every sample. These findings provide robust empirical evidence for an underlying neural system common to appetitive and aversive learning. We believe that this approach provides a way to empirically integrate the steadily growing body of fMRI findings across paradigms.

The Relationship between Drug Consumption and Dating App Use: Results from an Italian Survey

To date, the literature regarding the relationship between drug consumption and dating app use is still very scant and inconclusive. The present study was thus aimed at investigating the association between drug consumption and dating app use in the general population. A total of 1278 Italian respondents completed an online ad hoc questionnaire assessing drug consumption (cannabis versus other illicit drugs), dating app use, the primary motive for installing dating apps, and demographics. Multiple logistic regression analyses were run to investigate the role of demographics and dating app use on drug consumption. Being single predicted cannabis use. Using dating apps accounted for higher odds of cannabis use; however, people who intensely used the apps were less likely to consume marijuana. Conversely, dating app use was not associated with the consumption of other drugs. This study suggests the presence of common underlying factors between dating app use and cannabis use, and it highlights the mediating role of the intensity of app use. Conversely, the study suggests that dating app use and the use of other drugs are quite independent behaviors.

Hof P. Understanding Emotions: Origins and Roles of the Amygdala

Emotions arise from activations of specialized neuronal populations in several parts of the cerebral cortex, notably the anterior cingulate, insula, ventromedial prefrontal, and subcortical structures, such as the amygdala, ventral striatum, putamen, caudate nucleus, and ventral tegmental area. Feelings are conscious, emotional experiences of these activations that contribute to neuronal networks mediating thoughts, language, and behavior, thus enhancing the ability to predict, learn, and reappraise stimuli and situations in the environment based on previous experiences. Contemporary theories of emotion converge around the key role of the amygdala as the central subcortical emotional brain structure that constantly evaluates and integrates a variety of sensory information from the surroundings and assigns them appropriate values of emotional dimensions, such as valence, intensity, and approachability. The amygdala participates in the regulation of autonomic and endocrine functions, decision-making and adaptations of instinctive and motivational behaviors to changes in the environment through implicit associative learning, changes in short- and long-term synaptic plasticity, and activation of the fight-or-flight response via efferent projections from its central nucleus to cortical and subcortical structures.

Interactions between methodological and interindividual variability: How Monetary Incentive Delay (MID) task contrast maps vary and impact associations with behavior

INTRODUCTION

Phenomena related to reward responsiveness have been extensively studied in their associations with substance use and socioemotional functioning. One important task in this literature is the Monetary Incentive Delay (MID) task. By cueing and delivering performance-contingent reward, the MID task has been demonstrated to elicit robust activation of neural circuits involved in different phases of reward responsiveness. However, systematic evaluations of common MID task contrasts have been limited to between-study comparisons of group-level activation maps, limiting their ability to directly evaluate how researchers' choice of contrasts impacts conclusions about individual differences in reward responsiveness or brain-behavior associations.

METHODS

In a sample of 104 participants (Age Mean = 19.3, SD = 1.3), we evaluate similarities and differences between contrasts in: group- and individual-level activation maps using Jaccard's similarity index, region of interest (ROI) mean signal intensities using Pearson's r, and associations between ROI mean signal intensity and psychological measures using Bayesian correlation.

RESULTS

Our findings demonstrate more similarities than differences between win and loss cues during the anticipation contrast, dissimilarity between some win anticipation contrasts, an apparent deactivation effect in the outcome phase, likely stemming from the blood oxygen level-dependent undershoot, and behavioral associations that are less robust than previously reported.

CONCLUSION

Consistent with recent empirical findings, this work has practical implications for helping researchers interpret prior MID studies and make more informed a priori decisions about how their contrast choices may modify results.