Why Does Psychotherapy Work and for Whom? Hormonal Answers

The questions of for whom and why psychotherapy is effective have been the focus of five decades of research. Most of this knowledge is based on self-report measures. Following the biopsychosocial model of mental disorders, this article explores the potential of hormones in answering these questions. The literature on cortisol, oxytocin, and oestradiol in psychotherapy was systematically searched, focusing on (a) baseline hormonal predictors of who may benefit from psychotherapy and (b) hormonal changes as indicators of therapeutic change. The search was limited to depression and anxiety disorders. In sum, the findings show that, of all three hormones, the role of cortisol is most established and that both cortisol and oxytocin are implicated in psychotherapy, although a causal role is still waiting to be demonstrated. Moreover, there is a differential role of hormones in the psychotherapy of depression versus anxiety. The directions of research mapped in this article may elucidate how psychotherapy can be selected to match patients’ endocrine states and how hormonal levels can be manipulated to improve outcomes

I see you as recognizing me; therefore, I trust you: Operationalizing epistemic trust in psychotherapy

Epistemic trust (ET) is one’s ability to trust others and relies on the information they convey as being relevant and generalizable. This concept has received considerable theoretical and clinical attention, suggesting it is a promising factor in effective psychotherapy, possibly consisting of three elements: sharing, we-mode, and learning. However, for it to be used in clinical practice and research, it is imperative to (a) enhance our clinical understanding of how ET may manifest in the context of treatment and (b) understand how the process of change may occur in the course of treatment. The present study aims to identify patients’ trait-like ET characteristics upon initiating treatment and explore the possible state-like changes in ET characteristics throughout treatment. Taking a discovery-oriented approach, we examined how therapists can identify a patient’s level of ET at the beginning of treatment. We also examined how, within a treatment for individuals with poor pretreatment ET, the therapist and patient work interactively to bring about a positive change in ET. Identifying the process in which the therapist implements techniques in response to the patient’s reactions may enable the active mechanism to be isolated and promote the first formulation of the way changes in ET occur in sequence. (PsycInfo Database Record (c) 2023 APA, all rights reserved

Let's face it: video conferencing psychotherapy requires the extensive use of ostensive cues

The COVID-19 crisis has required many therapists to switch to video conferencing psychotherapy (VCP). Knowledge about the importance of epistemic trust and its determinants has been accumulating over the last few years, with important implications for psychotherapy and specific significance for the transition to VCP. The present paper provides a brief background on the concept of epistemic trust, research on the determinants of its development and the integrative framework it provides for some traditional concepts in psychotherapy, such as the therapeutic alliance. In particular, research on ostensive cuing, which requires significant modification in a remote delivery context, has important implications in the transition to VCP. We will advance some suggestions while illustrating the ideas with clinical case studies. This knowledge may be of value to psychotherapists, who are required to make substantial changes in the nature of the encounter with their patients, and may help them identify benefits and hindrances that might arise from this transition, as well as pointing out techniques that may encourage effective adaptation to the change

If you believe that breaking is possible, believe also that fixing is possible: a framework for ruptures and repairs in child psychotherapy

Safran and Muran’s classic theoretical framework of alliance rupture and repair suggests effective techniques for repairing alliance ruptures. Accumulating empirical evidence suggests that successful processes of rupture and repair result in better therapeutic outcome and reduced dropout rates. Although ruptures in the alliance in child psychotherapy are frequent, little is known about how to repair them. The present paper proposes a model for identifying and repairing ruptures in child psychotherapy based on Safran and Muran. It consists of four phases: i) identifying the rupture and understanding its underlying communication message, ii) indicating the presence of the rupture, iii) accepting responsibility over the therapists’ part in the rupture and emphasizing the children’s active role as communicators of their distress, and iv) resolving the rupture using change strategies and meta-communication by constructing a narrative story. The theoretical rationale of each phase is explained in detail, and practical clinical guidelines are provided. Empirical studies are needed to examine the effectiveness of the proposed framework

Psychological Impact of Coronavirus Disease 2019 Among Italians During the First Week of Lockdown

Pandemics and government-mandated quarantining measures have a substantial impact on mental health. This study investigated the psychological impact of the coronavirus disease 2019 (COVID-19) crisis on Italian residents during the first week of government-imposed lockdown and the role of defense mechanisms as protective factors against distress. In this cross-sectional study, 5,683 Italians responded to an online survey assessing socio-demographics, overall psychological distress, post-traumatic symptoms, and defense mechanisms using validated measures as the Symptom Checklist-90 (SCL-90), the Impact of Event Scale-Revised (IES-R), and the Defense Mechanisms Rating Scale-Self-Report-30 (DMRS-SR-30). Data were collected from March 13 to March 18, within the first week of lockdown in Italy. Results showed that younger age and female gender were associated with increased psychological distress. Having positive cases nearby, more days on lockdown, and having to relocate were also associated with greater distress. Higher overall defensive functioning (ODF) was associated with lower levels of depression (r = −.44, 95% CI −0.48, −0.40), anxiety (r = −.38, 95% CI −0.42, −0.35), and post-traumatic stress symptoms (PTSS) (r = −.34, 95% CI −0.38, −0.30). Conversely, less adaptive defensive functioning was related to greater affective distress across all domains. Each increased unit of ODF decreased the chances of developing post-traumatic stress symptoms (PTSS) by 71% (odds ratio = 0.29, p < 0.001, 95% CI.026,.032). The psychological impact of COVID-19 among Italians during the early weeks of government lockdown has been significant. The pandemic continues to have extraordinary mental health impact as it moves across the globe. Given the salience of defensive functioning in psychological distress, consideration of interventions that foster the use of more adaptive defenses may be an important component of building resilience amidst a pandemic

Not Just Nonspecific Factors: The Roles of Alliance and Expectancy in Treatment, and Their Neurobiological Underpinnings

Therapeutic factors such as alliance and expectancy have been found to greatly affect treatment outcome in both psychotherapy and psychopharmacotherapy. Often, these factors are referred to as nonspecific because of their common roles across treatment modalities. Here we argue that conceptualizing such factors as nonspecific is not accurate at best, misleading at worst and may undermine treatment outcome across various modalities. We argue that alliance and expectancy contain both a trait-like common factor component and a state-like specific effect, and that it is clinically, conceptually and methodologically critical to disentangle the two. In other words, both alliance and expectancy may also function as active ingredients of treatment, leading to better outcome. We review the literature regarding the neurobiological underpinnings of alliance and of the expectancy effect, and suggest how future studies on the neurobiological basis of these effects can shed further light on the potentially distinct mechanisms of the trait-like and state-like components of each therapeutic factor

Personalized cognitive training: protocol for individual-level meta-analysis implementing machine learning methods

Accumulating evidence suggests that cognitive training may enhance well-being. Yet, mixed findings imply that individual differences and training characteristics may interact to moderate training efficacy. To investigate this possibility, the current paper describes a protocol for a data-driven individual-level meta-analysis study aimed at developing personalized cognitive training. To facilitate comprehensive analysis, this protocol proposes criteria for data search, selection and pre-processing along with the rationale for each decision. Twenty-two cognitive training datasets comprising 1544 participants were collected. The datasets incorporated diverse training methods, all aimed at improving well-being. These training regimes differed in training characteristics such as targeted domain (e.g., working memory, attentional bias, interpretation bias, inhibitory control) and training duration, while participants differed in diagnostic status, age and sex. The planned analyses incorporate machine learning algorithms designed to identify which individuals will be most responsive to cognitive training in general and to discern which methods may be a better fit for certain individuals

Educational psychology in latin america: with linear hierarchical models

Research in clinical psychology, since its inception, has been aimed at analyzing, predicting and explaining the effect of treatments, by studying the change of patients in the course of them. To study the effects of therapy, research based on quantitative analysis models has historically used classical methods of parametric statistics, such as Pearson correlations, least squares regressions Student’s T-Tests and Variance Analysis (ANOVA). Hierarchical linear models (HLMs) represent a fundamental statistical strategy for research in psychotherapy, as they allow to overcome dependence on the observations usually presented in your data. The objective of this work is to present a guide to understanding, applying and reporting HLMs to study the effects of psychotherapy