Publications by authors named "Lissa C"

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and measures used.

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Rationale: Selective serotonin reuptake inhibitors (SSRIs) are the first choice of treatment for anxiety-like disorders. However, which aspects of anxiety are affected by SSRIs is not yet fully understood.

Objective: We aimed to systematically review the effect of six clinically effective SSRIs on four aspects of unconditioned anxiety: approach-avoidance behaviour (elevated plus maze), repetitive behaviour (marble burying), distress behaviour (ultrasonic vocalization), and activation of the autonomous nervous system (stress-induced hyperthermia).

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Article Synopsis
  • Military personnel face varying long-term trajectories of depressive symptoms after deployment, highlighting the need for better mental health policies.
  • The study tracked 1,032 Dutch soldiers from pre-deployment to 10 years post-deployment, identifying four different patterns of depressive symptoms: resilient, intermediate-stable, symptomatic-chronic, and late-onset-increasing.
  • Key factors influencing these trajectories include early-life trauma, PTSD symptoms, and deployment stressors, with a significant number showing resilience despite challenges.
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Emotion regulation (ER) variability refers to how individuals vary their use of ER strategies across time. It helps individuals to meet contextual needs, underscoring its importance in well-being. The theoretical foundation of ER variability recognizes two constituent processes: strategy switching (e.

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Parents' monitoring efforts are thought to be effective in reducing children's future externalizing problems. Empirical evidence for this claim, however, is limited, as only few studies have unraveled the temporal ordering of these constructs. The present six-wave longitudinal study contributed to the existing literature by examining within-family linkages between monitoring efforts (behavioral control and solicitation) and adolescents' externalizing behaviors while controlling for between-family differences.

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The endocannabinoid system is a promising candidate for anxiolytic therapy, but translation to the clinic has been lagging. We meta-analyzed the evidence for anxiety-reduction by compounds that facilitate endocannabinoid signaling in humans and animals. To identify areas of specific potential, effects of moderators were assessed.

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Article Synopsis
  • * A study utilizing machine learning (SEM-forests) analyzed data from 497 Dutch families to rank 87 variables at age 13 that could predict emotion regulation development from ages 14 to 18.
  • * Key findings suggest that individual personality traits, relationship quality, and conflict behaviors with parents and peers are the strongest predictors, while factors like demographics and positive parenting are less significant; the study also introduces a risk assessment tool, ERRATA.
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Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown") may result in behavioral fatigue that ultimately renders such policies ineffective.

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Rationale: Selective serotonin reuptake inhibitors (SSRIs) are considered first-line medication for anxiety-like disorders such as panic disorder, generalized anxiety disorder, and post-traumatic stress disorder. Fear learning plays an important role in the development and treatment of these disorders. Yet, the effect of SSRIs on fear learning are not well known.

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When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence.

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  • The study investigates the relationship between discrepancies in parent-child reports on autonomy support and the depressive symptoms of adolescents over six years, aiming to clarify the direction of causality.
  • It analyzes data from 497 adolescents and their parents, revealing that stable family differences account for the correlation between child depressive symptoms and lower autonomy support, rather than a direct cause-and-effect relationship.
  • The findings indicate that neither parent-child discrepancies nor parental depressive symptoms predict each other, suggesting that these dynamics do not change significantly during adolescence.
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Introduction: Expressive flexibility, or the ability to both up- and down-regulate emotional expressions in social interactions, is thought as an indicator and a consequence of healthy interpersonal relationships. The present longitudinal study examined bidirectional associations between expressive flexibility and friendship quality in early adolescence. Since prior research found inconsistent results regarding the adaptiveness of expressive flexibility, which indicated the necessity to consider individual variability in the process, we further tested the potential moderating effect of social anxiety in the links from expressive flexibility to friendship quality.

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Current methods of characterizing plastic debris use arbitrary, predetermined categorizations and assume that the properties of particles are independent. Here we introduce Gaussian mixture models (GMM), a technique suitable for describing non-normal multivariate distributions, as a method to identify mutually exclusive subsets of floating macroplastic and microplastic particles (latent class analysis) based on statistically defensible categories. Length, width, height and polymer type of 6,942 particles and items from the Atlantic Ocean were measured using infrared spectroscopy and image analysis.

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  • The study explores how adolescents' multiple identities—national, heritage, and regional—impact their mental health, particularly regarding experiences of teacher discrimination.
  • It finds that regional identity is significant and not typically included in existing research, emphasizing the socio-political contexts of migration and integration.
  • Analysis of survey data reveals three identity profiles among students of Turkish and Moroccan descent: full integration, national integration, and (weak) separation, with nationally integrated youth showing lower levels of depression compared to fully integrated peers.
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Anxiety associated with the COVID-19 pandemic and home confinement has been associated with adverse health behaviors, such as unhealthy eating, smoking, and drinking. However, most studies have been limited by regional sampling, which precludes the examination of behavioral consequences associated with the pandemic at a global level. Further, few studies operationalized pandemic-related stressors to enable the investigation of the impact of different types of stressors on health outcomes.

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The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models.

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  • Impersonal cooperation among strangers is crucial for building public goods like infrastructure and democracy, and various factors have been suggested to explain differences in cooperation levels across societies.
  • A meta-analysis of 1,506 studies revealed little variation in impersonal cooperation across 70 societies, indicating that cultural, linguistic, and ancestral differences did not significantly impact cooperation levels.
  • The findings challenge previous theories emphasizing societal differences in cooperation, suggesting that impersonal cooperation is consistently observed across diverse societies, and the study highlights limitations in existing research on this topic.
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Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors.

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The present paper examines longitudinally how subjective perceptions about COVID-19, one's community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception.

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Since parental differential treatment is related to more adjustment difficulties over and above main effects of parental treatment, it is important to understand under what conditions differential parenting is likely to occur. Using a within-family design, this study focused on between-sibling differences in parent-child personality similarity as a potential predictor of differential autonomy support from fathers and mothers. Longitudinal data (6 annual waves) of 497 target adolescents (56.

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Tightening social norms is thought to be adaptive for dealing with collective threat yet it may have negative consequences for increasing prejudice. The present research investigated the role of desire for cultural tightness, triggered by the COVID-19 pandemic, in increasing negative attitudes towards immigrants. We used participant-level data from 41 countries ( = 55,015) collected as part of the PsyCorona project, a cross-national longitudinal study on responses to COVID-19.

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  • * Overall, 72.9% of respondents expressed a willingness to get vaccinated, with prosocial behavior positively correlating with vaccine intentions, while belief in conspiracy theories and religiosity negatively influenced them.
  • * The research highlights the need to address misinformation and engage religious organizations in campaigns, emphasizing the importance of promoting prosocial values to boost vaccination rates globally.
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  • The COVID-19 pandemic has led to a global health crisis, prompting many countries to implement strict measures that have significantly altered societal dynamics.
  • This situation has fostered a sentiment of societal discontent, which is defined as a collective worry about society's fragile state and can drive individuals to engage in altruistic behavior.
  • The study analyzed data from 42 countries and found that higher societal discontent increases individuals' willingness to help others affected by COVID-19, highlighting important implications for crisis management strategies.
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