Sex differences in trauma symptoms,body image and intensity of pain in a Polish sample of patients suffering from chronic pain

The main goal of the current study was to investigate sex differences in the relationship between the level of trauma symptoms appearing in posttraumatic stress disorder (PTSD) and intensity of pain in a sample of 300 Polish patients suffering from chronic pain, specifically rheumatoid arthritis and lower back pain. We also focused on participants’ body image with body esteem as a mediator. To assess the intensity of pain among participants, we used the Numerical Rating Scale. The level of trauma symptoms was assessed with the PTSD Factorial Version Inventory. To measure body image among participants, we used the Body Esteem Scale. The results of our study suggest that trauma symptoms and body image dimensions were significant predictors of pain intensity among men suffering from chronic pain. Moreover, trauma symptoms and age were significant predictors of pain intensity among women suffering from chronic pain. Finally, we demonstrated that sex differentiates the reaction to chronic pain.     

Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples

The COVID-19 pandemic provided an opportunity to investigate factors related to public response to public health measures, which could help better prepare implementation of similar measures for inevitable future pandemics. To understand individual and environmental factors that influence likelihood in engaging in personal and public health measures, three crowdsourced convenience samples from Amazon Mechanical Turk (MTurk) completed likelihood-discounting tasks of engaging in health behaviors given a variety of hypothetical viral outbreak scenarios. Experiment 1 assessed likelihood of mask wearing for a novel virus. Experiment 2 assessed vaccination likelihood based on efficacy and cost. Experiment 3 assessed likelihood of seeking health care based on number of symptoms and cost of treatment. Volume-based measures and three-dimensional modeling were used to analyze hypothetical decision making. Hypothetical public and personal health participation increased as viral fatality increased and generally followed a hyperbolic function. Public health participation was moderated by political orientation and trust in science, whereas treatment-seeking was only moderated by income. Analytic methods used in this cross-sectional study predicted population-level outcomes that occurred later in the pandemic and can be extended to various health behaviors.     

Socio-Medical and Personality Correlates of Psychological Well-Being among People Living with HIV: a Latent Profile Analysis

Applied Research in Quality of Life - The aim of this study was to examine the heterogeneity of the sample of people living with HIV (PLWH) in terms of psychological well-being (PWB) using the...     

A tribute to Howard Rachlin and his two-parameter discounting model: Reliable and flexible model fitting

Delay discounting reflects the rate at which a reward loses its subjective value as a function of delay to that reward. Many models have been proposed to measure delay discounting, and many comparisons have been made among these models. We highlight the two-parameter delay discounting model popularized by Howard Rachlin by demonstrating two key practical features of the Rachlin model. The first feature is flexibility; the Rachlin model fits empirical discounting data closely. Second, when compared with other available two-parameter discounting models, the Rachlin model has the advantage that unique best estimates for parameters are easy to obtain across a wide variety of potential discounting patterns. We focus this work on this second feature in the context of maximum likelihood, showing the relative ease with which the Rachlin model can be utilized compared with the extreme care that must be used with other models for discounting data, focusing on two illustrative cases that pass checks for data validity. Both of these features are demonstrated via a reanalysis of discounting data the authors have previously used for model selection purposes.