Emotion regulation as mediator between childhood adversity and psychopathology: A meta-analysis
AC Miu, A Szentágotai-Tătar, R Balazsi… - Clinical psychology …, 2022 - Elsevier
Childhood adversity is a major risk factor for multiple forms of psychopathology, and recent
efforts have focused on understanding the underlying psychological mechanisms. One …
efforts have focused on understanding the underlying psychological mechanisms. One …
[HTML][HTML] Meaningful associations in the adolescent brain cognitive development study
Abstract The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-
cohort prospective longitudinal study of neurodevelopment and children's health in the …
cohort prospective longitudinal study of neurodevelopment and children's health in the …
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
D McNeish, EL Hamaker - Psychological methods, 2020 - psycnet.apa.org
Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
Affective teacher–student relationships and students' engagement and achievement: A meta-analytic update and test of the mediating role of engagement
The present study took a meta-analytic approach to investigate whether students'
engagement acts as a mediator in the association between affective teacher–student …
engagement acts as a mediator in the association between affective teacher–student …
The genetic architecture of the human cerebral cortex
INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities.
Variations in human cortical surface area and thickness are associated with neurological …
Variations in human cortical surface area and thickness are associated with neurological …
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …
chronological age in healthy people. Deviations from healthy brain ageing have been …
[HTML][HTML] Genetic determinants of the gut microbiome in UK twins
Studies in mice and humans have revealed intriguing associations between host genetics
and the microbiome. Here we report a 16S rRNA-based analysis of the gut microbiome in …
and the microbiome. Here we report a 16S rRNA-based analysis of the gut microbiome in …
[HTML][HTML] Human genetics shape the gut microbiome
Host genetics and the gut microbiome can both influence metabolic phenotypes. However,
whether host genetic variation shapes the gut microbiome and interacts with it to affect host …
whether host genetic variation shapes the gut microbiome and interacts with it to affect host …
The GRoLTS-checklist: guidelines for reporting on latent trajectory studies
Estimating models within the mixture model framework, like latent growth mixture modeling
(LGMM) or latent class growth analysis (LCGA), involves making various decisions …
(LGMM) or latent class growth analysis (LCGA), involves making various decisions …
[HTML][HTML] Social isolation, loneliness and depression in young adulthood: a behavioural genetic analysis
Purpose To investigate the association between social isolation and loneliness, how they
relate to depression, and whether these associations are explained by genetic influences …
relate to depression, and whether these associations are explained by genetic influences …