While research suggests strong associations of self-compassion with mental health and well-being, gender norms may hinder the development by women on one hand, men other. This study represents first systematic analyses potential differences in using meta-analytic techniques, including whether such are moderated age or ethnic minority status. Fixed-effects models were used to estimate average effect size (ES) scores across 71 journal articles dissertations providing a total 88 estimates....

Experiencing depression symptoms, even at mild to moderate levels, is associated with maladaptive outcomes for adolescents. We used network analysis evaluate which symptoms (and associations between symptoms) are most central adolescent depression. Participants were part of a large, diverse community sample (N = 1,409) adolescents 13 and 19 years age. Network was identify the (nodes) (edges) assessed by Children's Depression Inventory. also evaluated these centrality indicators robustness...

The United States spends more money on mental health services than any other country, yet access to effective psychological remains strikingly low. need-to-access gap is especially wide among children and adolescents, with up 80% of youths needs going without services, the remainder often receiving insufficient or untested care. Single-session interventions (SSIs) may offer a promising path toward improving accessibility, cost-effectiveness, completion rates for youth services. SSIs are...

Cognitive models of depression posit that negatively biased self-referent processing and attention have important roles in the disorder. However, is a heterogeneous collection symptoms all are unlikely to be associated with these negative cognitive biases. The current study involved 218 community adults whose ranged from no clinical levels depression. Random forest machine learning was used identify most symptom predictors each bias. Depression were measured Beck Inventory-II. Model...

Three studies examined the effects of receiving fewer signs positive feedback than others on social media. In Study 1, adolescents (N = 613, M

Depression is the leading cause of disability in youth, with a global economic burden US >$210 billion annually. However, up to 70% youth depression do not receive services. Even among those who access treatment, 30% 65% fail respond and many dropout prematurely, demonstrating need for more potent, accessible interventions. In previous trial, single-session Web-based growth mindset (GM) intervention significantly reduced depressive symptoms high-symptom adolescents; however, this did benefit...

Background. The demand for psychological services outpaces the number of available providers. Waitlists at mental health clinics range from weeks to months in length, and longer wait-times predict less favorable outcomes once treatment begins. There is a need efficient, sustainable service models that provide faster access care. Offering interim, low-intensity supports treatment-seekers may both strengthen clinically-relevant proximal prevent clinical deterioration while waiting longer-term...

Abstract Background: Although exposure-based therapy is a well-established, effective treatment for post-traumatic stress disorder (PTSD), some practitioners report reluctance to implement it due concerns that may exacerbate symptoms of PTSD and commonly comorbid disorders, such as substance use disorders (SUD). Aim: This study compared the exacerbation psychological among participants with SUD who received either alone or integrated exposure PTSD. Method: Participants (N = 71) were...

Clinical psychological scientists have spent decades attempting to understand "what works for whom" in the context of youth psychotherapy, toward longstanding goal personalizing psychosocial interventions fit individual needs and characteristics. However, as articles this Special Issue jointly underscore, more than 50 years psychotherapy research has yet help us realize goal. In introduction special issue, we outline how why "aspiration-method mismatches" hampered progress identifying...

Anxiety is rising across the United States during COVID-19 pandemic, and social distancing mandates preclude in-person mental health care. Greater perceived control over anxiety has predicted decreased pathology, including adaptive responses to uncontrollable stressors. Evidence suggests that no-therapist, single-session interventions can strengthen emotions like anxiety; similar programs, if designed for context, could hold substantial public value.Our registered report evaluated a...

Background The question ‘what works for whom’ is essential to mental health research, as matching individuals the treatment best suited their needs has potential maximize effectiveness of existing approaches. Digitally administered single‐session interventions (SSIs) are effective means reducing depressive symptoms in adolescence, with rapid, large‐scale implementation. However, little known about which SSIs work different adolescents. Objective We created and tested a selection algorithm...

The United States spends more money on mental health services than any other country, yet access to effective psychological remains strikingly low. need-to-access gap is especially wide among children and adolescents, with up 80% of youths needs going without services, the remainder often receiving insufficient or untested care. Single-session interventions (SSIs) may offer a promising path toward improving accessibility, cost-effectiveness, completion rates for youth services. SSIs are...

Background Depression is a heterogeneous collection of symptoms. Prior meta-analyses using symptom sum scores have shown the Internet intervention, Deprexis, to be an efficacious treatment for depression. However, no prior research has investigated how Deprexis (or any other intervention depression) impacts specific symptoms The current study utilizes symptom-level analyses examine which are directly, indirectly, or minimally influenced by treatment. Methods Network analysis and mean-level...

Cognitive models of depression posit that negatively biased self-referent processing and attention have important roles in the disorder. However, is a heterogeneous collection symptoms it unlikely all are associated with these negative cognitive biases. The current study involved 218 community adults whose ranged from no to clinical levels depression. Random forest machine learning was used identifythe most symptom predictors each bias. Depression were measured Beck Inventory – II....

Depression in college students is an important public health issue. There growing recognition that some depression symptoms may have a more central role the disorder than others. We use network analyses to identify most of students. In cross-sectional BDI-SF was collected at single time point (N = 10,005) and symptom change two points separated on average by approximately months 700). both samples, were self-dislike sadness. Centrality scores for highly correlated (r .86) with centrality...