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Given the robust evidence base for the efficacy of evidence‐based treatments targeting youth anxiety, researchers have advanced beyond efficacy outcome analysis to identifymechanismsof change and treatment directionality. Grounded in developmental transactional models, interventions for young children at risk for anxiety by virtue of behaviorally inhibited temperament often target parenting and child factors implicated in the early emergence and maintenance of anxiety. In particular, overcontrolling parenting moderates risk for anxiety among highly inhibited children, just as child inhibition has been shown to elicit overcontrolling parenting. Although longitudinal research has elucidated the temporal unfolding of factors that interact to place inhibited children at risk for anxiety, reciprocal transactions between these child and parent factors in the context of early interventions remain unknown.

This study addresses these gaps by examining mechanisms of change and treatment directionality (i.e., parent‐to‐child vs. child‐to‐parent influences) within a randomized controlled trial comparing two interventions for inhibited preschoolers (N = 151): the multicomponent Turtle Program (‘Turtle’) and the parent‐only Cool Little Kids program (‘CLK’). Reciprocal relations between parent‐reported child anxiety, observed parenting, and parent‐reported accommodation of child anxiety were examined across four timepoints: pre‐, mid‐, and post‐treatment, and one‐year follow‐up (NCT02308826).

Hypotheses were tested via latent curve models with structured residuals (LCM‐SR) and latent change score (LCS) models. LCM‐SR results were consistent with the child‐to‐parent influences found in previous research on cognitive behavioral therapy (CBT) for older anxious youth, but only emerged in Turtle. LCS analyses revealed bidirectional effects ofchangesin parent accommodation and child anxiety during and after intervention, but only in Turtle.

Our findings coincide with developmental transactional models, suggesting that the development of child anxiety may result from child‐to‐parent influences rather than the reverse, and highlight the importance of targeting parentandchild factors simultaneously in early interventions for young, inhibited children.

In recent years, epidemiological and clinical studies have revealed that depressive disorders can present in early childhood. To clarify the validity and prognostic significance of early childhood‐onset depression, we investigated diagnostic and functional outcomes in later childhood and adolescence.

A community sample (N = 516) was assessed for psychopathology at ages 3 and 6 using the Preschool Age Psychiatric Assessment. When participants were 9, 12, and 15 years old, children and parents completed the Kiddie Schedule for Affective Disorders and Schizophrenia and measures of symptoms and functioning.

In models adjusting for covariates, depressed 3/6‐year‐old children were more likely to experience subsequent episodes of depressive disorders and exhibited significantly higher rates of later anxiety disorder, attention deficit hyperactivity disorder, and suicidality compared to children without depressive disorders at age 3/6. Early childhood depression was also associated with higher levels of mother, but not child, reported depressive symptoms at age 15 compared to children without depressive disorders at age 3/6. Finally, depression at age 3/6 predicted lower levels of global and interpersonal functioning and higher rates of treatment at age 15 compared to children without depressive disorders at age 3/6.

Results support the clinical significance of depression in 3/6‐year‐old children, although further studies with larger samples are needed.

Results on the transverse spherocity dependence of light-flavor particle production (π, K, p,ϕ, K^*0,$$ {\textrm{K}}_{\textrm{S}}^0 $$$K_S^0$, Λ, Ξ) at midrapidity in high-multiplicity pp collisions at$$ \sqrt{s} $$$\sqrt{s}$= 13 TeV were obtained with the ALICE apparatus. The transverse spherocity estimator$$ \left({S}_{\textrm{O}}^{p_{\textrm{T}}=1}\right) $$$\left(S_O^{p_T=1}\right)$categorizes events by their azimuthal topology. Utilizing narrow selections on$$ {S}_{\textrm{O}}^{p_{\textrm{T}}=1} $$$S_O^{p_T=1}$, it is possible to contrast particle production in collisions dominated by many soft initial interactions with that observed in collisions dominated by one or more hard scatterings. Results are reported for two multiplicity estimators covering different pseudorapidity regions. The$$ {S}_{\textrm{O}}^{p_{\textrm{T}}=1} $$$S_O^{p_T=1}$estimator is found to effectively constrain the hardness of the events when the midrapidity (|η| < 0.8) estimator is used.

The production rates of strange particles are found to be slightly higher for soft isotropic topologies, and severely suppressed in hard jet-like topologies. These effects are more pronounced for hadrons with larger mass and strangeness content, and observed when the topological selection is done within a narrow multiplicity interval. This demonstrates that an important aspect of the universal scaling of strangeness enhancement with final-state multiplicity is that high-multiplicity collisions are dominated by soft, isotropic processes. On the contrary, strangeness production in events with jet-like processes is significantly reduced.

The results presented in this article are compared with several QCD-inspired Monte Carlo event generators. Models that incorporate a two-component phenomenology, either through mechanisms accounting for string density, or thermal production, are able to describe the observed strangeness enhancement as a function of$$ {S}_{\textrm{O}}^{p_{\textrm{T}}=1} $$$S_O^{p_T=1}$.